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6 Commits

Author SHA1 Message Date
Pratik Mankawde
e2ee835952 minor naming change
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-02-24 15:24:15 +00:00
Pratik Mankawde
f1723d8647 more checks
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-02-24 15:17:13 +00:00
Pratik Mankawde
320f9c8866 Merge branch 'develop' into pratik/Add_checks_db_objects
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-02-24 14:39:24 +00:00
Pratik Mankawde
229df04edd code review comments
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-02-24 14:33:22 +00:00
Pratik Mankawde
640428a1d4 Merge branch 'develop' into pratik/Add_checks_db_objects 2025-12-11 16:31:16 +00:00
Pratik Mankawde
0363c12b23 added checks in SQLiteDatabase.cpp 2025-12-11 16:29:59 +00:00
1981 changed files with 93140 additions and 234861 deletions

View File

@@ -50,21 +50,20 @@ ForEachMacros: [Q_FOREACH, BOOST_FOREACH]
IncludeBlocks: Regroup
IncludeCategories:
- Regex: "^<(test)/"
Priority: 1
Priority: 0
- Regex: "^<(xrpld)/"
Priority: 2
Priority: 1
- Regex: "^<(xrpl)/"
Priority: 3
Priority: 2
- Regex: "^<(boost)/"
Priority: 4
Priority: 3
- Regex: "^.*/"
Priority: 5
Priority: 4
- Regex: '^.*\.h'
Priority: 6
Priority: 5
- Regex: ".*"
Priority: 7
Priority: 6
IncludeIsMainRegex: "$"
MainIncludeChar: AngleBracket
IndentCaseLabels: true
IndentFunctionDeclarationAfterType: false
IndentRequiresClause: true

View File

@@ -1,204 +1,191 @@
---
Checks: "-*,
bugprone-argument-comment,
bugprone-assert-side-effect,
bugprone-bad-signal-to-kill-thread,
bugprone-bool-pointer-implicit-conversion,
bugprone-capturing-this-in-member-variable,
bugprone-casting-through-void,
bugprone-chained-comparison,
bugprone-compare-pointer-to-member-virtual-function,
bugprone-copy-constructor-init,
bugprone-crtp-constructor-accessibility,
bugprone-dangling-handle,
bugprone-dynamic-static-initializers,
bugprone-empty-catch,
bugprone-fold-init-type,
bugprone-forward-declaration-namespace,
bugprone-inaccurate-erase,
bugprone-inc-dec-in-conditions,
bugprone-incorrect-enable-if,
bugprone-incorrect-roundings,
bugprone-infinite-loop,
bugprone-integer-division,
bugprone-lambda-function-name,
bugprone-macro-parentheses,
bugprone-macro-repeated-side-effects,
bugprone-misleading-setter-of-reference,
bugprone-misplaced-operator-in-strlen-in-alloc,
bugprone-misplaced-pointer-arithmetic-in-alloc,
bugprone-misplaced-widening-cast,
bugprone-move-forwarding-reference,
bugprone-multi-level-implicit-pointer-conversion,
bugprone-multiple-new-in-one-expression,
bugprone-multiple-statement-macro,
bugprone-no-escape,
bugprone-non-zero-enum-to-bool-conversion,
bugprone-optional-value-conversion,
bugprone-parent-virtual-call,
bugprone-pointer-arithmetic-on-polymorphic-object,
bugprone-posix-return,
bugprone-redundant-branch-condition,
bugprone-reserved-identifier,
bugprone-return-const-ref-from-parameter,
bugprone-shared-ptr-array-mismatch,
bugprone-signal-handler,
bugprone-signed-char-misuse,
bugprone-sizeof-container,
bugprone-sizeof-expression,
bugprone-spuriously-wake-up-functions,
bugprone-standalone-empty,
bugprone-string-constructor,
bugprone-string-integer-assignment,
bugprone-string-literal-with-embedded-nul,
bugprone-stringview-nullptr,
bugprone-suspicious-enum-usage,
bugprone-suspicious-include,
bugprone-suspicious-memory-comparison,
bugprone-suspicious-memset-usage,
bugprone-suspicious-missing-comma,
bugprone-suspicious-realloc-usage,
bugprone-suspicious-semicolon,
bugprone-suspicious-string-compare,
bugprone-suspicious-stringview-data-usage,
bugprone-swapped-arguments,
bugprone-switch-missing-default-case,
bugprone-terminating-continue,
bugprone-throw-keyword-missing,
bugprone-too-small-loop-variable,
bugprone-unchecked-optional-access,
bugprone-undefined-memory-manipulation,
bugprone-undelegated-constructor,
bugprone-unhandled-exception-at-new,
bugprone-unhandled-self-assignment,
bugprone-unique-ptr-array-mismatch,
bugprone-unsafe-functions,
bugprone-unused-local-non-trivial-variable,
bugprone-unused-raii,
bugprone-unused-return-value,
bugprone-use-after-move,
bugprone-virtual-near-miss,
cppcoreguidelines-init-variables,
cppcoreguidelines-misleading-capture-default-by-value,
cppcoreguidelines-no-suspend-with-lock,
cppcoreguidelines-pro-type-member-init,
cppcoreguidelines-pro-type-static-cast-downcast,
cppcoreguidelines-rvalue-reference-param-not-moved,
cppcoreguidelines-use-default-member-init,
cppcoreguidelines-use-enum-class,
cppcoreguidelines-virtual-class-destructor,
hicpp-ignored-remove-result,
llvm-namespace-comment,
misc-const-correctness,
misc-definitions-in-headers,
misc-header-include-cycle,
misc-include-cleaner,
misc-misplaced-const,
misc-redundant-expression,
misc-static-assert,
misc-throw-by-value-catch-by-reference,
misc-unused-alias-decls,
misc-unused-using-decls,
modernize-concat-nested-namespaces,
modernize-deprecated-headers,
modernize-make-shared,
modernize-make-unique,
modernize-pass-by-value,
modernize-type-traits,
modernize-use-designated-initializers,
modernize-use-emplace,
modernize-use-equals-default,
modernize-use-equals-delete,
modernize-use-nodiscard,
modernize-use-override,
modernize-use-ranges,
modernize-use-scoped-lock,
modernize-use-starts-ends-with,
modernize-use-std-numbers,
modernize-use-using,
performance-faster-string-find,
performance-for-range-copy,
performance-implicit-conversion-in-loop,
performance-inefficient-vector-operation,
performance-move-const-arg,
performance-move-constructor-init,
performance-no-automatic-move,
performance-trivially-destructible,
readability-ambiguous-smartptr-reset-call,
readability-avoid-nested-conditional-operator,
readability-avoid-return-with-void-value,
readability-braces-around-statements,
readability-const-return-type,
readability-container-contains,
readability-container-size-empty,
readability-convert-member-functions-to-static,
readability-duplicate-include,
readability-else-after-return,
readability-enum-initial-value,
readability-identifier-naming,
readability-implicit-bool-conversion,
readability-make-member-function-const,
readability-math-missing-parentheses,
readability-misleading-indentation,
readability-non-const-parameter,
readability-redundant-casting,
readability-redundant-declaration,
readability-redundant-inline-specifier,
readability-redundant-member-init,
readability-redundant-string-init,
readability-reference-to-constructed-temporary,
readability-simplify-boolean-expr,
readability-static-definition-in-anonymous-namespace,
readability-suspicious-call-argument,
readability-use-std-min-max
bugprone-argument-comment
"
# ---
# readability-inconsistent-declaration-parameter-name, # In this codebase this check will break a lot of arg names
# readability-static-accessed-through-instance, # this check is probably unnecessary. It makes the code less readable
# ---
CheckOptions:
bugprone-unsafe-functions.ReportMoreUnsafeFunctions: true
bugprone-unused-return-value.CheckedReturnTypes: ::std::error_code;::std::error_condition;::std::errc
misc-include-cleaner.IgnoreHeaders: ".*/(detail|impl)/.*;.*fwd\\.h(pp)?;time.h;stdlib.h;sqlite3.h;netinet/in\\.h;sys/resource\\.h;sys/sysinfo\\.h;linux/sysinfo\\.h;__chrono/.*;bits/.*;_abort\\.h;boost/uuid/uuid_hash.hpp;boost/beast/core/flat_buffer\\.hpp;boost/beast/http/field\\.hpp;boost/beast/http/dynamic_body\\.hpp;boost/beast/http/message\\.hpp;boost/beast/http/read\\.hpp;boost/beast/http/write\\.hpp;openssl/obj_mac\\.h"
readability-braces-around-statements.ShortStatementLines: 2
readability-identifier-naming.MacroDefinitionCase: UPPER_CASE
readability-identifier-naming.ClassCase: CamelCase
readability-identifier-naming.StructCase: CamelCase
readability-identifier-naming.UnionCase: CamelCase
readability-identifier-naming.EnumCase: CamelCase
readability-identifier-naming.EnumConstantCase: CamelCase
readability-identifier-naming.ScopedEnumConstantCase: CamelCase
readability-identifier-naming.GlobalConstantCase: CamelCase
readability-identifier-naming.GlobalConstantPrefix: "k"
readability-identifier-naming.GlobalVariableCase: CamelCase
readability-identifier-naming.GlobalVariablePrefix: "g"
readability-identifier-naming.ConstexprFunctionCase: camelBack
readability-identifier-naming.ConstexprMethodCase: camelBack
readability-identifier-naming.ClassMethodCase: camelBack
readability-identifier-naming.ClassMemberCase: camelBack
readability-identifier-naming.ClassConstantCase: CamelCase
readability-identifier-naming.ClassConstantPrefix: "k"
readability-identifier-naming.StaticConstantCase: CamelCase
readability-identifier-naming.StaticConstantPrefix: "k"
readability-identifier-naming.StaticVariableCase: camelBack
readability-identifier-naming.ConstexprVariableCase: camelBack
readability-identifier-naming.LocalConstantCase: camelBack
readability-identifier-naming.LocalVariableCase: camelBack
readability-identifier-naming.TemplateParameterCase: CamelCase
readability-identifier-naming.ParameterCase: camelBack
readability-identifier-naming.FunctionCase: camelBack
readability-identifier-naming.MemberCase: camelBack
readability-identifier-naming.PrivateMemberCase: camelBack
readability-identifier-naming.PrivateMemberSuffix: _
readability-identifier-naming.ProtectedMemberCase: camelBack
readability-identifier-naming.ProtectedMemberSuffix: _
readability-identifier-naming.PublicMemberCase: camelBack
readability-identifier-naming.PublicMemberSuffix: ""
readability-identifier-naming.GlobalFunctionIgnoredRegexp: "^(to_string|hash_append|tuple_hash)$"
HeaderFilterRegex: '^.*/(tests?|xrpl|xrpld)/.*\.(h|hpp|ipp)$'
ExcludeHeaderFilterRegex: '^.*/protocol_autogen/.*\.(h|hpp)$'
# bugprone-assert-side-effect,
# bugprone-bad-signal-to-kill-thread,
# bugprone-bool-pointer-implicit-conversion,
# bugprone-casting-through-void,
# bugprone-chained-comparison,
# bugprone-compare-pointer-to-member-virtual-function,
# bugprone-copy-constructor-init,
# bugprone-crtp-constructor-accessibility,
# bugprone-dangling-handle,
# bugprone-dynamic-static-initializers,
# bugprone-empty-catch,
# bugprone-fold-init-type,
# bugprone-forward-declaration-namespace,
# bugprone-inaccurate-erase,
# bugprone-inc-dec-in-conditions,
# bugprone-incorrect-enable-if,
# bugprone-incorrect-roundings,
# bugprone-infinite-loop,
# bugprone-integer-division,
# bugprone-lambda-function-name,
# bugprone-macro-parentheses,
# bugprone-macro-repeated-side-effects,
# bugprone-misplaced-operator-in-strlen-in-alloc,
# bugprone-misplaced-pointer-arithmetic-in-alloc,
# bugprone-misplaced-widening-cast,
# bugprone-move-forwarding-reference,
# bugprone-multi-level-implicit-pointer-conversion,
# bugprone-multiple-new-in-one-expression,
# bugprone-multiple-statement-macro,
# bugprone-no-escape,
# bugprone-non-zero-enum-to-bool-conversion,
# bugprone-optional-value-conversion,
# bugprone-parent-virtual-call,
# bugprone-pointer-arithmetic-on-polymorphic-object,
# bugprone-posix-return,
# bugprone-redundant-branch-condition,
# bugprone-reserved-identifier,
# bugprone-return-const-ref-from-parameter,
# bugprone-shared-ptr-array-mismatch,
# bugprone-signal-handler,
# bugprone-signed-char-misuse,
# bugprone-sizeof-container,
# bugprone-sizeof-expression,
# bugprone-spuriously-wake-up-functions,
# bugprone-standalone-empty,
# bugprone-string-constructor,
# bugprone-string-integer-assignment,
# bugprone-string-literal-with-embedded-nul,
# bugprone-stringview-nullptr,
# bugprone-suspicious-enum-usage,
# bugprone-suspicious-include,
# bugprone-suspicious-memory-comparison,
# bugprone-suspicious-memset-usage,
# bugprone-suspicious-missing-comma,
# bugprone-suspicious-realloc-usage,
# bugprone-suspicious-semicolon,
# bugprone-suspicious-string-compare,
# bugprone-suspicious-stringview-data-usage,
# bugprone-swapped-arguments,
# bugprone-switch-missing-default-case,
# bugprone-terminating-continue,
# bugprone-throw-keyword-missing,
# bugprone-too-small-loop-variable,
# bugprone-undefined-memory-manipulation,
# bugprone-undelegated-constructor,
# bugprone-unhandled-exception-at-new,
# bugprone-unhandled-self-assignment,
# bugprone-unique-ptr-array-mismatch,
# bugprone-unsafe-functions,
# bugprone-unused-local-non-trivial-variable,
# bugprone-unused-raii,
# bugprone-unused-return-value,
# bugprone-use-after-move,
# bugprone-virtual-near-miss,
# cppcoreguidelines-init-variables,
# cppcoreguidelines-misleading-capture-default-by-value,
# cppcoreguidelines-no-suspend-with-lock,
# cppcoreguidelines-pro-type-member-init,
# cppcoreguidelines-pro-type-static-cast-downcast,
# cppcoreguidelines-rvalue-reference-param-not-moved,
# cppcoreguidelines-use-default-member-init,
# cppcoreguidelines-virtual-class-destructor,
# hicpp-ignored-remove-result,
# llvm-namespace-comment,
# misc-const-correctness,
# misc-definitions-in-headers,
# misc-header-include-cycle,
# misc-include-cleaner,
# misc-misplaced-const,
# misc-redundant-expression,
# misc-static-assert,
# misc-throw-by-value-catch-by-reference,
# misc-unused-alias-decls,
# misc-unused-using-decls,
# modernize-concat-nested-namespaces,
# modernize-deprecated-headers,
# modernize-make-shared,
# modernize-make-unique,
# modernize-pass-by-value,
# modernize-type-traits,
# modernize-use-designated-initializers,
# modernize-use-emplace,
# modernize-use-equals-default,
# modernize-use-equals-delete,
# modernize-use-override,
# modernize-use-ranges,
# modernize-use-starts-ends-with,
# modernize-use-std-numbers,
# modernize-use-using,
# performance-faster-string-find,
# performance-for-range-copy,
# performance-implicit-conversion-in-loop,
# performance-inefficient-vector-operation,
# performance-move-const-arg,
# performance-move-constructor-init,
# performance-no-automatic-move,
# performance-trivially-destructible,
# readability-avoid-nested-conditional-operator,
# readability-avoid-return-with-void-value,
# readability-braces-around-statements,
# readability-const-return-type,
# readability-container-contains,
# readability-container-size-empty,
# readability-convert-member-functions-to-static,
# readability-duplicate-include,
# readability-else-after-return,
# readability-enum-initial-value,
# readability-implicit-bool-conversion,
# readability-inconsistent-declaration-parameter-name,
# readability-identifier-naming,
# readability-make-member-function-const,
# readability-math-missing-parentheses,
# readability-misleading-indentation,
# readability-non-const-parameter,
# readability-redundant-casting,
# readability-redundant-declaration,
# readability-redundant-inline-specifier,
# readability-redundant-member-init,
# readability-redundant-string-init,
# readability-reference-to-constructed-temporary,
# readability-simplify-boolean-expr,
# readability-static-accessed-through-instance,
# readability-static-definition-in-anonymous-namespace,
# readability-suspicious-call-argument,
# readability-use-std-min-max
#
# CheckOptions:
# readability-braces-around-statements.ShortStatementLines: 2
# readability-identifier-naming.MacroDefinitionCase: UPPER_CASE
# readability-identifier-naming.ClassCase: CamelCase
# readability-identifier-naming.StructCase: CamelCase
# readability-identifier-naming.UnionCase: CamelCase
# readability-identifier-naming.EnumCase: CamelCase
# readability-identifier-naming.EnumConstantCase: CamelCase
# readability-identifier-naming.ScopedEnumConstantCase: CamelCase
# readability-identifier-naming.GlobalConstantCase: UPPER_CASE
# readability-identifier-naming.GlobalConstantPrefix: "k"
# readability-identifier-naming.GlobalVariableCase: CamelCase
# readability-identifier-naming.GlobalVariablePrefix: "g"
# readability-identifier-naming.ConstexprFunctionCase: camelBack
# readability-identifier-naming.ConstexprMethodCase: camelBack
# readability-identifier-naming.ClassMethodCase: camelBack
# readability-identifier-naming.ClassMemberCase: camelBack
# readability-identifier-naming.ClassConstantCase: UPPER_CASE
# readability-identifier-naming.ClassConstantPrefix: "k"
# readability-identifier-naming.StaticConstantCase: UPPER_CASE
# readability-identifier-naming.StaticConstantPrefix: "k"
# readability-identifier-naming.StaticVariableCase: UPPER_CASE
# readability-identifier-naming.StaticVariablePrefix: "k"
# readability-identifier-naming.ConstexprVariableCase: UPPER_CASE
# readability-identifier-naming.ConstexprVariablePrefix: "k"
# readability-identifier-naming.LocalConstantCase: camelBack
# readability-identifier-naming.LocalVariableCase: camelBack
# readability-identifier-naming.TemplateParameterCase: CamelCase
# readability-identifier-naming.ParameterCase: camelBack
# readability-identifier-naming.FunctionCase: camelBack
# readability-identifier-naming.MemberCase: camelBack
# readability-identifier-naming.PrivateMemberSuffix: _
# readability-identifier-naming.ProtectedMemberSuffix: _
# readability-identifier-naming.PublicMemberSuffix: ""
# readability-identifier-naming.FunctionIgnoredRegexp: ".*tag_invoke.*"
# bugprone-unsafe-functions.ReportMoreUnsafeFunctions: true
# bugprone-unused-return-value.CheckedReturnTypes: ::std::error_code;::std::error_condition;::std::errc
# misc-include-cleaner.IgnoreHeaders: '.*/(detail|impl)/.*;.*(expected|unexpected).*;.*ranges_lower_bound\.h;time.h;stdlib.h;__chrono/.*;fmt/chrono.h;boost/uuid/uuid_hash.hpp'
#
# HeaderFilterRegex: '^.*/(src|tests)/.*\.(h|hpp)$'
WarningsAsErrors: "*"

247
.cmake-format.yaml Normal file
View File

@@ -0,0 +1,247 @@
_help_parse: Options affecting listfile parsing
parse:
_help_additional_commands:
- Specify structure for custom cmake functions
additional_commands:
target_protobuf_sources:
pargs:
- target
- prefix
kwargs:
PROTOS: "*"
LANGUAGE: cpp
IMPORT_DIRS: "*"
GENERATE_EXTENSIONS: "*"
PLUGIN: "*"
_help_override_spec:
- Override configurations per-command where available
override_spec: {}
_help_vartags:
- Specify variable tags.
vartags: []
_help_proptags:
- Specify property tags.
proptags: []
_help_format: Options affecting formatting.
format:
_help_disable:
- Disable formatting entirely, making cmake-format a no-op
disable: false
_help_line_width:
- How wide to allow formatted cmake files
line_width: 100
_help_tab_size:
- How many spaces to tab for indent
tab_size: 4
_help_use_tabchars:
- If true, lines are indented using tab characters (utf-8
- 0x09) instead of <tab_size> space characters (utf-8 0x20).
- In cases where the layout would require a fractional tab
- character, the behavior of the fractional indentation is
- governed by <fractional_tab_policy>
use_tabchars: false
_help_fractional_tab_policy:
- If <use_tabchars> is True, then the value of this variable
- indicates how fractional indentions are handled during
- whitespace replacement. If set to 'use-space', fractional
- indentation is left as spaces (utf-8 0x20). If set to
- "`round-up` fractional indentation is replaced with a single"
- tab character (utf-8 0x09) effectively shifting the column
- to the next tabstop
fractional_tab_policy: use-space
_help_max_subgroups_hwrap:
- If an argument group contains more than this many sub-groups
- (parg or kwarg groups) then force it to a vertical layout.
max_subgroups_hwrap: 4
_help_max_pargs_hwrap:
- If a positional argument group contains more than this many
- arguments, then force it to a vertical layout.
max_pargs_hwrap: 5
_help_max_rows_cmdline:
- If a cmdline positional group consumes more than this many
- lines without nesting, then invalidate the layout (and nest)
max_rows_cmdline: 2
_help_separate_ctrl_name_with_space:
- If true, separate flow control names from their parentheses
- with a space
separate_ctrl_name_with_space: true
_help_separate_fn_name_with_space:
- If true, separate function names from parentheses with a
- space
separate_fn_name_with_space: false
_help_dangle_parens:
- If a statement is wrapped to more than one line, than dangle
- the closing parenthesis on its own line.
dangle_parens: false
_help_dangle_align:
- If the trailing parenthesis must be 'dangled' on its on
- "line, then align it to this reference: `prefix`: the start"
- "of the statement, `prefix-indent`: the start of the"
- "statement, plus one indentation level, `child`: align to"
- the column of the arguments
dangle_align: prefix
_help_min_prefix_chars:
- If the statement spelling length (including space and
- parenthesis) is smaller than this amount, then force reject
- nested layouts.
min_prefix_chars: 18
_help_max_prefix_chars:
- If the statement spelling length (including space and
- parenthesis) is larger than the tab width by more than this
- amount, then force reject un-nested layouts.
max_prefix_chars: 10
_help_max_lines_hwrap:
- If a candidate layout is wrapped horizontally but it exceeds
- this many lines, then reject the layout.
max_lines_hwrap: 2
_help_line_ending:
- What style line endings to use in the output.
line_ending: unix
_help_command_case:
- Format command names consistently as 'lower' or 'upper' case
command_case: canonical
_help_keyword_case:
- Format keywords consistently as 'lower' or 'upper' case
keyword_case: unchanged
_help_always_wrap:
- A list of command names which should always be wrapped
always_wrap: []
_help_enable_sort:
- If true, the argument lists which are known to be sortable
- will be sorted lexicographicall
enable_sort: true
_help_autosort:
- If true, the parsers may infer whether or not an argument
- list is sortable (without annotation).
autosort: true
_help_require_valid_layout:
- By default, if cmake-format cannot successfully fit
- everything into the desired linewidth it will apply the
- last, most aggressive attempt that it made. If this flag is
- True, however, cmake-format will print error, exit with non-
- zero status code, and write-out nothing
require_valid_layout: false
_help_layout_passes:
- A dictionary mapping layout nodes to a list of wrap
- decisions. See the documentation for more information.
layout_passes: {}
_help_markup: Options affecting comment reflow and formatting.
markup:
_help_bullet_char:
- What character to use for bulleted lists
bullet_char: "-"
_help_enum_char:
- What character to use as punctuation after numerals in an
- enumerated list
enum_char: .
_help_first_comment_is_literal:
- If comment markup is enabled, don't reflow the first comment
- block in each listfile. Use this to preserve formatting of
- your copyright/license statements.
first_comment_is_literal: false
_help_literal_comment_pattern:
- If comment markup is enabled, don't reflow any comment block
- which matches this (regex) pattern. Default is `None`
- (disabled).
literal_comment_pattern: null
_help_fence_pattern:
- Regular expression to match preformat fences in comments
- default= ``r'^\s*([`~]{3}[`~]*)(.*)$'``
fence_pattern: ^\s*([`~]{3}[`~]*)(.*)$
_help_ruler_pattern:
- Regular expression to match rulers in comments default=
- '``r''^\s*[^\w\s]{3}.*[^\w\s]{3}$''``'
ruler_pattern: ^\s*[^\w\s]{3}.*[^\w\s]{3}$
_help_explicit_trailing_pattern:
- If a comment line matches starts with this pattern then it
- is explicitly a trailing comment for the preceding
- argument. Default is '#<'
explicit_trailing_pattern: "#<"
_help_hashruler_min_length:
- If a comment line starts with at least this many consecutive
- hash characters, then don't lstrip() them off. This allows
- for lazy hash rulers where the first hash char is not
- separated by space
hashruler_min_length: 10
_help_canonicalize_hashrulers:
- If true, then insert a space between the first hash char and
- remaining hash chars in a hash ruler, and normalize its
- length to fill the column
canonicalize_hashrulers: true
_help_enable_markup:
- enable comment markup parsing and reflow
enable_markup: false
_help_lint: Options affecting the linter
lint:
_help_disabled_codes:
- a list of lint codes to disable
disabled_codes: []
_help_function_pattern:
- regular expression pattern describing valid function names
function_pattern: "[0-9a-z_]+"
_help_macro_pattern:
- regular expression pattern describing valid macro names
macro_pattern: "[0-9A-Z_]+"
_help_global_var_pattern:
- regular expression pattern describing valid names for
- variables with global (cache) scope
global_var_pattern: "[A-Z][0-9A-Z_]+"
_help_internal_var_pattern:
- regular expression pattern describing valid names for
- variables with global scope (but internal semantic)
internal_var_pattern: _[A-Z][0-9A-Z_]+
_help_local_var_pattern:
- regular expression pattern describing valid names for
- variables with local scope
local_var_pattern: "[a-z][a-z0-9_]+"
_help_private_var_pattern:
- regular expression pattern describing valid names for
- privatedirectory variables
private_var_pattern: _[0-9a-z_]+
_help_public_var_pattern:
- regular expression pattern describing valid names for public
- directory variables
public_var_pattern: "[A-Z][0-9A-Z_]+"
_help_argument_var_pattern:
- regular expression pattern describing valid names for
- function/macro arguments and loop variables.
argument_var_pattern: "[a-z][a-z0-9_]+"
_help_keyword_pattern:
- regular expression pattern describing valid names for
- keywords used in functions or macros
keyword_pattern: "[A-Z][0-9A-Z_]+"
_help_max_conditionals_custom_parser:
- In the heuristic for C0201, how many conditionals to match
- within a loop in before considering the loop a parser.
max_conditionals_custom_parser: 2
_help_min_statement_spacing:
- Require at least this many newlines between statements
min_statement_spacing: 1
_help_max_statement_spacing:
- Require no more than this many newlines between statements
max_statement_spacing: 2
max_returns: 6
max_branches: 12
max_arguments: 5
max_localvars: 15
max_statements: 50
_help_encode: Options affecting file encoding
encode:
_help_emit_byteorder_mark:
- If true, emit the unicode byte-order mark (BOM) at the start
- of the file
emit_byteorder_mark: false
_help_input_encoding:
- Specify the encoding of the input file. Defaults to utf-8
input_encoding: utf-8
_help_output_encoding:
- Specify the encoding of the output file. Defaults to utf-8.
- Note that cmake only claims to support utf-8 so be careful
- when using anything else
output_encoding: utf-8
_help_misc: Miscellaneous configurations options.
misc:
_help_per_command:
- A dictionary containing any per-command configuration
- overrides. Currently only `command_case` is supported.
per_command: {}

View File

@@ -1,98 +0,0 @@
# Custom CMake command definitions for gersemi formatting.
# These stubs teach gersemi the signatures of project-specific commands
# so it can format their invocations correctly.
function(git_branch branch_val)
endfunction()
function(isolate_headers target A B scope)
endfunction()
function(create_symbolic_link target link)
endfunction()
macro(exclude_from_default target_)
endmacro()
macro(exclude_if_included target_)
endmacro()
function(target_protobuf_sources target prefix)
set(options APPEND_PATH DESCRIPTORS)
set(oneValueArgs
LANGUAGE
OUT_VAR
EXPORT_MACRO
TARGET
PROTOC_OUT_DIR
PLUGIN
PLUGIN_OPTIONS
PROTOC_EXE
)
set(multiValueArgs
PROTOS
IMPORT_DIRS
GENERATE_EXTENSIONS
PROTOC_OPTIONS
DEPENDENCIES
)
cmake_parse_arguments(
THIS_FUNCTION_PREFIX
"${options}"
"${oneValueArgs}"
"${multiValueArgs}"
${ARGN}
)
endfunction()
function(add_module parent name)
endfunction()
function(setup_protocol_autogen)
endfunction()
function(target_link_modules parent scope)
endfunction()
function(setup_target_for_coverage_gcovr)
set(options NONE)
set(oneValueArgs BASE_DIRECTORY NAME FORMAT)
set(multiValueArgs EXCLUDE EXECUTABLE EXECUTABLE_ARGS DEPENDENCIES)
cmake_parse_arguments(
THIS_FUNCTION_PREFIX
"${options}"
"${oneValueArgs}"
"${multiValueArgs}"
${ARGN}
)
endfunction()
function(add_code_coverage_to_target name scope)
endfunction()
function(verbose_find_path variable name)
set(options
NO_CACHE
REQUIRED
OPTIONAL
NO_DEFAULT_PATH
NO_PACKAGE_ROOT_PATH
NO_CMAKE_PATH
NO_CMAKE_ENVIRONMENT_PATH
NO_SYSTEM_ENVIRONMENT_PATH
NO_CMAKE_SYSTEM_PATH
NO_CMAKE_INSTALL_PREFIX
CMAKE_FIND_ROOT_PATH_BOTH
ONLY_CMAKE_FIND_ROOT_PATH
NO_CMAKE_FIND_ROOT_PATH
)
set(oneValueArgs REGISTRY_VIEW VALIDATOR DOC)
set(multiValueArgs NAMES HINTS PATHS PATH_SUFFIXES)
cmake_parse_arguments(
THIS_FUNCTION_PREFIX
"${options}"
"${oneValueArgs}"
"${multiValueArgs}"
${ARGN}
)
endfunction()

View File

@@ -1 +0,0 @@
definitions: [.gersemi]

View File

@@ -1,81 +1,16 @@
# This feature requires Git >= 2.24
# To use it by default in git blame:
# git config blame.ignoreRevsFile .git-blame-ignore-revs
# This file is sorted in reverse chronological order, with the most recent commits at the top.
# The commits listed here are ignored by git blame, which is useful for formatting-only commits that would otherwise obscure the history of changes to a file.
# refactor: Enable clang-tidy `readability-identifier-naming` check (#6571)
8995564ed6b9e453e144bb663303072a3c1ba305
# refactor: Enable remaining clang-tidy `cppcoreguidelines` checks (#6538)
72f4cb097f626b08b02fc3efcb4aa11cb2e7adb8
# refactor: Rename system name from 'ripple' to 'xrpld' (#6347)
ffea3977f0b771fe8e43a8f74e4d393d63a7afd8
# refactor: Update transaction folder structure (#6483)
5865bd017f777491b4a956f9210be0c4161f5442
# chore: Use gersemi instead of ancient cmake-format (#6486)
0c74270b055133a57a497b5c9fc5a75f7647b1f4
# chore: Apply clang-format width 100 (#6387)
2c1fad102353e11293e3edde1c043224e7d3e983
# chore: Set clang-format width to 100 in config file (#6387)
25cca465538a56cce501477f9e5e2c1c7ea2d84c
# chore: Set cmake-format width to 100 (#6386)
469ce9f291a4480c38d4ee3baca5136b2f053cd0
# refactor: Modularize app/tx (#6228)
0976b2b68b64972af8e6e7c497900b5bce9fe22f
# chore: Update clang-format to 21.1.8 (#6352)
958d8f375453d80bb1aa4c293b5102c045a3e4b4
# refactor: Replace include guards by '#pragma once' (#6322)
34ef577604782ca8d6e1c17df8bd7470990a52ff
# chore: Format all cmake files without comments (#6294)
fe9c8d568fcf6ac21483024e01f58962dd5c8260
# chore: Add cmake-format pre-commit hook (#6279)
a0e09187b9370805d027c611a7e9ff5a0125282a
# chore: Set ColumnLimit to 120 in clang-format (#6288)
5f638f55536def0d88b970d1018a465a238e55f4
# refactor: Fix typos in comments, configure cspell (#6164)
3c9f5b62525cb1d6ca1153eeb10433db7d7379fd
# refactor: Rename `rippled.cfg` to `xrpld.cfg` (#6098)
3d1b3a49b3601a0a7037fa0b19d5df7b5e0e2fc1
# refactor: Rename `ripple` namespace to `xrpl` (#5982)
1eb0fdac6543706b4b9ddca57fd4102928a1f871
# refactor: Rename `rippled` binary to `xrpld` (#5983)
9eb84a561ef8bb066d89f098bd9b4ac71baed67c
# refactor: Replaces secp256k1 source by Conan package (#6089)
813bc4d9491b078bb950f8255f93b02f71320478
# refactor: Remove unnecessary copyright notices already covered by LICENSE.md (#5929)
1d42c4f6de6bf01d1286fc7459b17a37a5189e88
# refactor: Rename `RIPPLE_` and `RIPPLED_` definitions to `XRPL_` (#5821)
ada83564d894829424b0f4d922b0e737e07abbf7
# refactor: Modularize shamap and nodestore (#5668)
8eb233c2ea8ad5a159be73b77f0f5e1496d547ac
# refactor: Modularise ledger (#5493)
dc8b37a52448b005153c13a7f046ad494128cf94
# chore: Update clang-format and prettier with pre-commit (#5709)
c14ce956adeabe476ad73c18d73103f347c9c613
# chore: Fix file formatting (#5718)
896b8c3b54a22b0497cb0d1ce95e1095f9a227ce
# chore: Reverts formatting changes to external files, adds formatting changes to proto files (#5711)
b13370ac0d207217354f1fc1c29aef87769fb8a1
# chore: Run prettier on all files (#5657)
97f0747e103f13e26e45b731731059b32f7679ac
# Reformat code with clang-format-18
552377c76f55b403a1c876df873a23d780fcc81c
# Recompute loops (#4997)
d028005aa6319338b0adae1aebf8abe113162960
# Rewrite includes (#4997)
1d23148e6dd53957fcb6205c07a5c6cd7b64d50c
# Rearrange sources (#4997)
e416ee72ca26fa0c09d2aee1b68bdfb2b7046eed
# Move CMake directory (#4997)
2e902dee53aab2a8f27f32971047bb81e022f94f
# Rewrite includes
0eebe6a5f4246fced516d52b83ec4e7f47373edd
# Format formerly .hpp files
760f16f56835663d9286bd29294d074de26a7ba6
# Rename .hpp to .h
241b9ddde9e11beb7480600fd5ed90e1ef109b21
# Consolidate external libraries
e2384885f5f630c8f0ffe4bf21a169b433a16858
# Format first-party source according to .clang-format
50760c693510894ca368e90369b0cc2dabfd07f3
e2384885f5f630c8f0ffe4bf21a169b433a16858
241b9ddde9e11beb7480600fd5ed90e1ef109b21
760f16f56835663d9286bd29294d074de26a7ba6
0eebe6a5f4246fced516d52b83ec4e7f47373edd
2189cc950c0cebb89e4e2fa3b2d8817205bf7cef
b9d007813378ad0ff45660dc07285b823c7e9855
fe9a5365b8a52d4acc42eb27369247e6f238a4f9
9a93577314e6a8d4b4a8368cc9d2b15a5d8303e8
552377c76f55b403a1c876df873a23d780fcc81c
97f0747e103f13e26e45b731731059b32f7679ac
b13370ac0d207217354f1fc1c29aef87769fb8a1
896b8c3b54a22b0497cb0d1ce95e1095f9a227ce

View File

@@ -1,7 +1,7 @@
---
name: Feature Request
about: Suggest a new feature for the xrpld project
title: "[Title with short description] (Version: [xrpld version])"
about: Suggest a new feature for the rippled project
title: "[Title with short description] (Version: [rippled version])"
labels: Feature Request
assignees: ""
---

View File

@@ -35,13 +35,14 @@ runs:
LOG_VERBOSITY: ${{ inputs.log_verbosity }}
SANITIZERS: ${{ inputs.sanitizers }}
run: |
echo 'Installing dependencies.'
conan install \
--profile:all ci \
--build="${BUILD_OPTION}" \
--options:host='&:tests=True' \
--options:host='&:xrpld=True' \
--settings:all build_type="${BUILD_TYPE}" \
--conf:all tools.build:jobs=${BUILD_NPROC} \
--conf:all tools.build:verbosity="${LOG_VERBOSITY}" \
--conf:all tools.compilation:verbosity="${LOG_VERBOSITY}" \
.
--profile ci \
--build="${BUILD_OPTION}" \
--options:host='&:tests=True' \
--options:host='&:xrpld=True' \
--settings:all build_type="${BUILD_TYPE}" \
--conf:all tools.build:jobs=${BUILD_NPROC} \
--conf:all tools.build:verbosity="${LOG_VERBOSITY}" \
--conf:all tools.compilation:verbosity="${LOG_VERBOSITY}" \
.

View File

@@ -11,34 +11,34 @@ runs:
steps:
# When a tag is pushed, the version is used as-is.
- name: Generate version for tag event
if: ${{ startsWith(github.ref, 'refs/tags/') }}
if: ${{ github.event_name == 'tag' }}
shell: bash
env:
VERSION: ${{ github.ref_name }}
run: echo "VERSION=${VERSION}" >>"${GITHUB_ENV}"
run: echo "VERSION=${VERSION}" >> "${GITHUB_ENV}"
# When a tag is not pushed, then the version (e.g. 1.2.3-b0) is extracted
# from the BuildInfo.cpp file and the shortened commit hash appended to it.
# We use a plus sign instead of a hyphen because Conan recipe versions do
# not support two hyphens.
- name: Generate version for non-tag event
if: ${{ !startsWith(github.ref, 'refs/tags/') }}
if: ${{ github.event_name != 'tag' }}
shell: bash
run: |
echo 'Extracting version from BuildInfo.cpp.'
VERSION="$(cat src/libxrpl/protocol/BuildInfo.cpp | grep "versionString =" | awk -F '"' '{print $2}')"
if [[ -z "${VERSION}" ]]; then
echo 'Unable to extract version from BuildInfo.cpp.'
exit 1
echo 'Unable to extract version from BuildInfo.cpp.'
exit 1
fi
echo 'Appending shortened commit hash to version.'
SHA='${{ github.sha }}'
VERSION="${VERSION}+${SHA:0:7}"
echo "VERSION=${VERSION}" >>"${GITHUB_ENV}"
echo "VERSION=${VERSION}" >> "${GITHUB_ENV}"
- name: Output version
id: version
shell: bash
run: echo "version=${VERSION}" >>"${GITHUB_OUTPUT}"
run: echo "version=${VERSION}" >> "${GITHUB_OUTPUT}"

43
.github/actions/print-env/action.yml vendored Normal file
View File

@@ -0,0 +1,43 @@
name: Print build environment
description: "Print environment and some tooling versions"
runs:
using: composite
steps:
- name: Check configuration (Windows)
if: ${{ runner.os == 'Windows' }}
shell: bash
run: |
echo 'Checking environment variables.'
set
- name: Check configuration (Linux and macOS)
if: ${{ runner.os == 'Linux' || runner.os == 'macOS' }}
shell: bash
run: |
echo 'Checking path.'
echo ${PATH} | tr ':' '\n'
echo 'Checking environment variables.'
env | sort
echo 'Checking compiler version.'
${{ runner.os == 'Linux' && '${CC}' || 'clang' }} --version
echo 'Checking Ninja version.'
ninja --version
echo 'Checking nproc version.'
nproc --version
- name: Check configuration (all)
shell: bash
run: |
echo 'Checking Ccache version.'
ccache --version
echo 'Checking CMake version.'
cmake --version
echo 'Checking Conan version.'
conan --version

View File

@@ -1,34 +0,0 @@
name: Set compiler environment
description: "Set CC and CXX environment variables for the given compiler."
inputs:
compiler:
description: 'The compiler to use ("gcc" or "clang").'
required: true
runs:
using: composite
steps:
- name: Set CC and CXX for gcc
if: ${{ inputs.compiler == 'gcc' }}
shell: bash
run: |
echo "CC=gcc" >>"${GITHUB_ENV}"
echo "CXX=g++" >>"${GITHUB_ENV}"
- name: Set CC and CXX for clang
if: ${{ inputs.compiler == 'clang' }}
shell: bash
run: |
echo "CC=clang" >>"${GITHUB_ENV}"
echo "CXX=clang++" >>"${GITHUB_ENV}"
- name: Fail on unknown compiler
if: ${{ inputs.compiler != 'gcc' && inputs.compiler != 'clang' }}
shell: bash
env:
COMPILER: ${{ inputs.compiler }}
run: |
echo "Unknown compiler: $COMPILER" >&2
exit 1

View File

@@ -15,35 +15,32 @@ runs:
using: composite
steps:
- name: Apply custom configuration to global.conf
- name: Set up Conan configuration
shell: bash
run: |
echo 'Installing configuration.'
cat conan/global.conf ${{ runner.os == 'Linux' && '>>' || '>' }} $(conan config home)/global.conf
- name: Show global configuration
shell: bash
run: |
echo 'Conan configuration:'
conan config show '*'
- name: Install profiles
- name: Set up Conan profile
shell: bash
run: |
echo 'Installing profile.'
conan config install conan/profiles/ -tf $(conan config home)/profiles/
- name: Show CI profile
shell: bash
run: |
echo 'Conan profile:'
conan profile show --profile ci
- name: Add a remote
- name: Set up Conan remote
shell: bash
env:
REMOTE_NAME: ${{ inputs.remote_name }}
REMOTE_URL: ${{ inputs.remote_url }}
run: |
echo "Adding Conan remote '${REMOTE_NAME}' at '${REMOTE_URL}'."
conan remote add --index 0 --force "${REMOTE_NAME}" "${REMOTE_URL}"
- name: List remotes
shell: bash
run: |
echo 'Listing Conan remotes.'
conan remote list

View File

@@ -1,12 +1,51 @@
version: 2
updates:
- package-ecosystem: github-actions
directories:
- /
- .github/actions/build-deps/
- .github/actions/generate-version/
- .github/actions/set-compiler-env/
- .github/actions/setup-conan/
directory: /
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/build-deps/
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/generate-version/
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/print-env/
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/setup-conan/
schedule:
interval: weekly
day: monday

View File

@@ -29,6 +29,22 @@ If a refactor, how is this better than the previous implementation?
If there is a spec or design document for this feature, please link it here.
-->
### Type of Change
<!--
Please check [x] relevant options, delete irrelevant ones.
-->
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] Refactor (non-breaking change that only restructures code)
- [ ] Performance (increase or change in throughput and/or latency)
- [ ] Tests (you added tests for code that already exists, or your new feature included in this PR)
- [ ] Documentation update
- [ ] Chore (no impact to binary, e.g. `.gitignore`, formatting, dropping support for older tooling)
- [ ] Release
### API Impact
<!--

View File

@@ -1,85 +0,0 @@
#!/usr/bin/env python3
"""
Checks that a pull request description has been customized from the
pull_request_template.md. Exits with code 1 if the description is empty
or identical to the template (ignoring HTML comments and whitespace).
Usage:
python check-pr-description.py --template-file TEMPLATE --pr-body-file BODY
"""
import argparse
import re
import sys
from pathlib import Path
def normalize(text: str) -> str:
"""Strip HTML comments, trim lines, and remove blank lines."""
# Remove HTML comments (possibly multi-line)
text = re.sub(r"<!--.*?-->", "", text, flags=re.DOTALL)
# Strip each line and drop empties
lines = [line.strip() for line in text.splitlines()]
lines = [line for line in lines if line]
return "\n".join(lines)
def main() -> int:
parser = argparse.ArgumentParser(
description="Check that a PR description differs from the template."
)
parser.add_argument(
"--template-file",
type=Path,
required=True,
help="Path to the pull request template file.",
)
parser.add_argument(
"--pr-body-file",
type=Path,
required=True,
help="Path to a file containing the PR body text.",
)
args = parser.parse_args()
template_path: Path = args.template_file
pr_body_path: Path = args.pr_body_file
if not template_path.is_file():
print(f"::error::Template file {template_path} not found")
return 1
if not pr_body_path.is_file():
print(f"::error::PR body file {pr_body_path} not found")
return 1
template = template_path.read_text(encoding="utf-8")
pr_body = pr_body_path.read_text(encoding="utf-8")
# Check if the PR body is empty or whitespace-only
if not pr_body.strip():
print(
"::error::PR description is empty. "
"Please fill in the pull request template."
)
return 1
norm_template = normalize(template)
norm_pr_body = normalize(pr_body)
if norm_pr_body == norm_template:
print(
"::error::PR description (ignoring HTML comments) is identical"
" to the template. Please fill in the details of your change."
f"\n\nVisible template content:\n---\n{norm_template}\n---"
f"\n\nVisible PR description content:\n---\n{norm_pr_body}\n---"
)
return 1
print("PR description has been customized from the template.")
return 0
if __name__ == "__main__":
sys.exit(main())

View File

@@ -1,403 +0,0 @@
#!/usr/bin/env python3
"""
Format embedded shell snippets using the shfmt hook configured in
.pre-commit-config.yaml.
Two shapes are recognised:
* YAML workflow/action files: literal block-scalar runs (`run: |`) and
single-line runs (`run: some command`). A single-line run is upgraded to
a `run: |` block scalar if shfmt's output spans multiple lines.
* Markdown files: ``` ```bash ``` fenced code blocks.
Any block that shfmt cannot parse is skipped with a warning on stderr, so
the file is left untouched and surrounding blocks still get formatted.
For each occurrence the body is dedented, written to a temp .sh file,
formatted via `pre-commit run shfmt --files <temp>` (falling back to
`prek`), then re-indented and written back in place.
When invoked without arguments, every .yml/.yaml under .github/ plus every
.md file in the repo is scanned. When invoked with file arguments (the
pre-commit case), only those files are processed.
"""
from __future__ import annotations
import re
import shutil
import subprocess
import sys
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Union
REPO = Path(__file__).resolve().parents[2]
_HOOK_RUNNER = next((cmd for cmd in ("pre-commit", "prek") if shutil.which(cmd)), None)
if _HOOK_RUNNER is None:
sys.exit("error: neither `pre-commit` nor `prek` found on PATH")
RUN_BLOCK_RE = re.compile(r"^(?P<prefix>[ \t]*(?:- )?)run:[ \t]*\|[+-]?[ \t]*$")
RUN_INLINE_RE = re.compile(
r"^(?P<prefix>[ \t]*(?:- )?)run:[ \t]+" r"(?P<value>(?!\|[+-]?[ \t]*$)\S.*?)[ \t]*$"
)
MD_BASH_OPEN_RE = re.compile(r"^(?P<indent>[ ]{0,3})`{3}bash[ \t]*$")
MD_FENCE_CLOSE_RE = re.compile(r"^[ ]{0,3}`{3,}[ \t]*$")
@dataclass(frozen=True)
class BlockRun:
"""A `run: |` block scalar; `body_start:body_end` slices into `lines`."""
body_start: int
body_end: int
body_indent: int
@dataclass(frozen=True)
class InlineRun:
"""A single-line `run: value` at `line_idx`."""
line_idx: int
prefix: str
value: str
@dataclass(frozen=True)
class MdBashBlock:
"""A markdown ``` ```bash ``` fenced code block.
`body_start:body_end` slices into the file's lines; `open_line_idx`
points at the opening fence line.
"""
open_line_idx: int
body_start: int
body_end: int
body_indent: int
RunItem = Union[BlockRun, InlineRun]
def _scan_block_body(
lines: list[str], body_start: int, run_col: int
) -> tuple[int | None, int]:
"""Locate the body of a `run: |` block scalar starting at `body_start`.
Returns `(body_indent, scan_end)`. `scan_end` is the line index where the
outer scanner should resume. `body_indent` is `None` when no body is
present (the scalar is empty, or the next non-blank line has indent
`<= run_col`).
"""
body_indent: int | None = None
scan_end = len(lines)
for idx in range(body_start, len(lines)):
line = lines[idx]
if line.strip() == "":
continue
indent = len(line) - len(line.lstrip(" "))
if body_indent is None:
if indent > run_col:
body_indent = indent
else:
scan_end = idx
break
elif indent < body_indent:
scan_end = idx
break
if body_indent is not None:
while scan_end > body_start and lines[scan_end - 1].strip() == "":
scan_end -= 1
if scan_end <= body_start:
body_indent = None
return body_indent, scan_end
def find_run_blocks(lines: list[str]) -> list[RunItem]:
"""Return run items in document order."""
items: list[RunItem] = []
line_idx = 0
while line_idx < len(lines):
line = lines[line_idx]
if block_match := RUN_BLOCK_RE.match(line):
run_col = len(block_match.group("prefix"))
body_start = line_idx + 1
body_indent, scan_end = _scan_block_body(lines, body_start, run_col)
if body_indent is not None:
items.append(
BlockRun(
body_start=body_start,
body_end=scan_end,
body_indent=body_indent,
)
)
line_idx = scan_end
continue
if inline_match := RUN_INLINE_RE.match(line):
items.append(
InlineRun(
line_idx=line_idx,
prefix=inline_match.group("prefix"),
value=inline_match.group("value"),
)
)
line_idx += 1
return items
def find_md_bash_blocks(lines: list[str]) -> list[MdBashBlock]:
"""Return ``` ```bash ``` fenced code blocks in document order."""
blocks: list[MdBashBlock] = []
line_idx = 0
while line_idx < len(lines):
open_match = MD_BASH_OPEN_RE.match(lines[line_idx])
if not open_match:
line_idx += 1
continue
body_start = line_idx + 1
close_idx = next(
(
j
for j in range(body_start, len(lines))
if MD_FENCE_CLOSE_RE.match(lines[j])
),
None,
)
if close_idx is None:
line_idx = body_start
continue
body = lines[body_start:close_idx]
non_blank = [b for b in body if b.strip()]
body_indent = (
min(len(b) - len(b.lstrip(" ")) for b in non_blank)
if non_blank
else len(open_match.group("indent"))
)
blocks.append(
MdBashBlock(
open_line_idx=line_idx,
body_start=body_start,
body_end=close_idx,
body_indent=body_indent,
)
)
line_idx = close_idx + 1
return blocks
def dedent(lines: list[str], n: int) -> list[str]:
pad = " " * n
return [
(
""
if line.strip() == ""
else (line[n:] if line.startswith(pad) else line.lstrip(" "))
)
for line in lines
]
def reindent(lines: list[str], n: int) -> list[str]:
pad = " " * n
return [pad + line if line else "" for line in lines]
_SHFMT_ERR_RE = re.compile(r"\.sh:\d+:\d+:\s")
_GHA_EXPR_RE = re.compile(r"\$\{\{.*?\}\}", re.DOTALL)
_GHA_PLACEHOLDER_RE = re.compile(r"__GHA_EXPR_(\d+)__")
def _encode_gha_exprs(text: str) -> tuple[str, list[str]]:
"""Replace `${{ ... }}` expressions with bash-safe placeholder identifiers."""
exprs: list[str] = []
def repl(match: re.Match[str]) -> str:
exprs.append(match.group(0))
return f"__GHA_EXPR_{len(exprs) - 1}__"
return _GHA_EXPR_RE.sub(repl, text), exprs
def _decode_gha_exprs(text: str, exprs: list[str]) -> str:
"""Restore `${{ ... }}` expressions from placeholder identifiers."""
return _GHA_PLACEHOLDER_RE.sub(lambda m: exprs[int(m.group(1))], text)
def shfmt_via_hook(tmp_path: Path) -> tuple[bool, str]:
# `${{ ... }}` is not valid shell, so swap it for a placeholder identifier
# that shfmt can parse, then restore it after formatting.
encoded, exprs = _encode_gha_exprs(tmp_path.read_text())
if exprs:
tmp_path.write_text(encoded)
res = subprocess.run(
[_HOOK_RUNNER, "run", "shfmt", "--files", str(tmp_path)],
cwd=REPO,
capture_output=True,
text=True,
)
output = res.stdout + res.stderr
# shfmt emits parse errors as "<path>:<line>:<col>: <message>".
parse_err = bool(_SHFMT_ERR_RE.search(output))
# A non-zero exit that is neither a parse error nor pre-commit's "I had
# to modify files" signal means the hook itself failed to run (missing
# binary, install failure, bad config, ...). Surface that loudly rather
# than silently treating it as a no-op.
if (
res.returncode != 0
and not parse_err
and "files were modified by this hook" not in output
):
sys.exit(
f"error: `{_HOOK_RUNNER} run shfmt` failed with exit {res.returncode}:\n{output}"
)
if exprs and not parse_err:
tmp_path.write_text(_decode_gha_exprs(tmp_path.read_text(), exprs))
return not parse_err, output
def _skip(path: Path, where: int, kind: str, output: str) -> None:
print(
f" shfmt could not parse {kind} at {path}:{where + 1} — skipped",
file=sys.stderr,
)
print(f" {output.strip()}", file=sys.stderr)
def process_yaml_file(path: Path, tmp_path: Path) -> int:
text = path.read_text()
had_nl = text.endswith("\n")
lines = text.split("\n")
if had_nl:
lines = lines[:-1]
items = find_run_blocks(lines)
if not items:
return 0
changed = 0
# Process in reverse so earlier indices remain valid as we splice.
for item in reversed(items):
if isinstance(item, BlockRun):
body = lines[item.body_start : item.body_end]
tmp_path.write_text("\n".join(dedent(body, item.body_indent)) + "\n")
ok, output = shfmt_via_hook(tmp_path)
if not ok:
_skip(path, item.body_start, "block", output)
continue
formatted = tmp_path.read_text().rstrip("\n")
new_body = reindent(formatted.split("\n"), item.body_indent)
if new_body != body:
lines[item.body_start : item.body_end] = new_body
changed += 1
else:
tmp_path.write_text(item.value + "\n")
ok, output = shfmt_via_hook(tmp_path)
if not ok:
_skip(path, item.line_idx, "inline run", output)
continue
formatted = tmp_path.read_text().rstrip("\n")
if formatted == item.value:
continue
formatted_lines = formatted.split("\n")
if len(formatted_lines) == 1:
lines[item.line_idx] = f"{item.prefix}run: {formatted}"
else:
body_indent = len(item.prefix) + 2
lines[item.line_idx : item.line_idx + 1] = [
f"{item.prefix}run: |",
*reindent(formatted_lines, body_indent),
]
changed += 1
new_text = "\n".join(lines) + ("\n" if had_nl else "")
if new_text != text:
path.write_text(new_text)
return changed
def process_md_file(path: Path, tmp_path: Path) -> int:
text = path.read_text()
had_nl = text.endswith("\n")
lines = text.split("\n")
if had_nl:
lines = lines[:-1]
blocks = find_md_bash_blocks(lines)
if not blocks:
return 0
changed = 0
for block in reversed(blocks):
body = lines[block.body_start : block.body_end]
tmp_path.write_text("\n".join(dedent(body, block.body_indent)) + "\n")
ok, output = shfmt_via_hook(tmp_path)
if not ok:
_skip(path, block.open_line_idx, "```bash block", output)
continue
formatted = tmp_path.read_text().rstrip("\n")
formatted_lines = formatted.split("\n") if formatted else []
new_body = reindent(formatted_lines, block.body_indent)
if new_body != body:
lines[block.body_start : block.body_end] = new_body
changed += 1
new_text = "\n".join(lines) + ("\n" if had_nl else "")
if new_text != text:
path.write_text(new_text)
return changed
def process_file(path: Path, tmp_path: Path) -> int:
if path.suffix in (".yml", ".yaml"):
return process_yaml_file(path, tmp_path)
if path.suffix == ".md":
return process_md_file(path, tmp_path)
return 0
def gather_files(argv: list[str]) -> list[Path]:
"""Return YAML workflow/action files and markdown files that we should
process — either the paths in `argv` or, when `argv` is empty, every
such file in the repo (skipping `external/`)."""
if argv:
candidates: list[Path] = [
(REPO / a).resolve() if not Path(a).is_absolute() else Path(a) for a in argv
]
else:
gh = REPO / ".github"
candidates = [
*gh.rglob("*.yml"),
*gh.rglob("*.yaml"),
*(
p
for p in REPO.rglob("*.md")
if "external" not in p.relative_to(REPO).parts
),
]
return sorted(
p
for p in candidates
if p.exists()
and (
(p.suffix in (".yml", ".yaml") and ".github" in p.parts)
or p.suffix == ".md"
)
)
def main(argv: list[str]) -> int:
files = gather_files(argv)
if not files:
return 0
with tempfile.TemporaryDirectory(prefix="format-inline-bash-") as tmpdir:
tmp_path = Path(tmpdir) / "shfmt.sh"
total = 0
for f in files:
n = process_file(f, tmp_path)
if n:
print(f"{f.relative_to(REPO)}: reformatted {n} block(s)")
total += n
return 1 if total else 0
if __name__ == "__main__":
sys.exit(main(sys.argv[1:]))

View File

@@ -1,14 +1,14 @@
# Levelization
Levelization is the term used to describe efforts to prevent xrpld from
Levelization is the term used to describe efforts to prevent rippled from
having or creating cyclic dependencies.
xrpld code is organized into directories under `src/xrpld`, `src/libxrpl` (and
rippled code is organized into directories under `src/xrpld`, `src/libxrpl` (and
`src/test`) representing modules. The modules are intended to be
organized into "tiers" or "levels" such that a module from one level can
only include code from lower levels. Additionally, a module
in one level should never include code in an `impl` or `detail` folder of any level
other than its own.
other than it's own.
The codebase is split into two main areas:
@@ -22,7 +22,7 @@ levelization violations they find (by moving files or individual
classes). At the very least, don't make things worse.
The table below summarizes the _desired_ division of modules, based on the current
state of the xrpld code. The levels are numbered from
state of the rippled code. The levels are numbered from
the bottom up with the lower level, lower numbered, more independent
modules listed first, and the higher level, higher numbered modules with
more dependencies listed later.
@@ -70,12 +70,12 @@ that `test` code should _never_ be included in `xrpl` or `xrpld` code.)
## Validation
The [levelization](generate.py) script takes no parameters,
The [levelization](generate.sh) script takes no parameters,
reads no environment variables, and can be run from any directory,
as long as it is in the expected location in the xrpld repo.
as long as it is in the expected location in the rippled repo.
It can be run at any time from within a checked out repo, and will
do an analysis of all the `#include`s in
the xrpld source. The only caveat is that it runs much slower
the rippled source. The only caveat is that it runs much slower
under Windows than in Linux. It hasn't yet been tested under MacOS.
It generates many files of [results](results):
@@ -104,7 +104,7 @@ It generates many files of [results](results):
Github Actions workflow to test that levelization loops haven't
changed. Unfortunately, if changes are detected, it can't tell if
they are improvements or not, so if you have resolved any issues or
done anything else to improve levelization, run `generate.py`,
done anything else to improve levelization, run `levelization.sh`,
and commit the updated results.
The `loops.txt` and `ordering.txt` files relate the modules
@@ -128,7 +128,7 @@ The committed files hide the detailed values intentionally, to
prevent false alarms and merging issues, and because it's easy to
get those details locally.
1. Run `generate.py`
1. Run `levelization.sh`
2. Grep the modules in `paths.txt`.
- For example, if a cycle is found `A ~= B`, simply `grep -w
A .github/scripts/levelization/results/paths.txt | grep -w B`

View File

@@ -1,335 +0,0 @@
#!/usr/bin/env python3
"""
Usage: generate.py
This script takes no parameters, and can be called from any directory in the file system.
"""
import os
import re
import subprocess
import sys
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple, Set, Optional
# Compile regex patterns once at module level
INCLUDE_PATTERN = re.compile(r"^\s*#include.*/.*\.h")
INCLUDE_PATH_PATTERN = re.compile(r'[<"]([^>"]+)[>"]')
def dictionary_sort_key(s: str) -> str:
"""
Create a sort key that mimics 'sort -d' (dictionary order).
Dictionary order only considers blanks and alphanumeric characters.
This means punctuation like '.' is ignored during sorting.
"""
# Keep only alphanumeric characters and spaces
return "".join(c for c in s if c.isalnum() or c.isspace())
def get_level(file_path: str) -> str:
"""
Extract the level from a file path (second and third directory components).
Equivalent to bash: cut -d/ -f 2,3
Examples:
src/xrpld/app/main.cpp -> xrpld.app
src/libxrpl/protocol/STObject.cpp -> libxrpl.protocol
include/xrpl/basics/base_uint.h -> xrpl.basics
"""
parts = file_path.split("/")
# Get fields 2 and 3 (indices 1 and 2 in 0-based indexing)
if len(parts) >= 3:
level = f"{parts[1]}/{parts[2]}"
elif len(parts) >= 2:
level = f"{parts[1]}/toplevel"
else:
level = file_path
# If the "level" indicates a file, cut off the filename
if "." in level.split("/")[-1]: # Avoid Path object creation
# Use the "toplevel" label as a workaround for `sort`
# inconsistencies between different utility versions
level = level.rsplit("/", 1)[0] + "/toplevel"
return level.replace("/", ".")
def extract_include_level(include_line: str) -> Optional[str]:
"""
Extract the include path from an #include directive.
Gets the first two directory components from the include path.
Equivalent to bash: cut -d/ -f 1,2
Examples:
#include <xrpl/basics/base_uint.h> -> xrpl.basics
#include "xrpld/app/main/Application.h" -> xrpld.app
"""
# Remove everything before the quote or angle bracket
match = INCLUDE_PATH_PATTERN.search(include_line)
if not match:
return None
include_path = match.group(1)
parts = include_path.split("/")
# Get first two fields (indices 0 and 1)
if len(parts) >= 2:
include_level = f"{parts[0]}/{parts[1]}"
else:
include_level = include_path
# If the "includelevel" indicates a file, cut off the filename
if "." in include_level.split("/")[-1]: # Avoid Path object creation
include_level = include_level.rsplit("/", 1)[0] + "/toplevel"
return include_level.replace("/", ".")
def find_repository_directories(
start_path: Path, depth_limit: int = 10
) -> Tuple[Path, List[Path]]:
"""
Find the repository root by looking for src or include folders.
Walks up the directory tree from the start path.
"""
current = start_path.resolve()
# Walk up the directory tree
for _ in range(depth_limit): # Limit search depth to prevent infinite loops
src_path = current / "src"
include_path = current / "include"
# Check if this directory has src or include folders
has_src = src_path.exists()
has_include = include_path.exists()
if has_src or has_include:
return current, [src_path, include_path]
# Move up one level
parent = current.parent
if parent == current: # Reached filesystem root
break
current = parent
# If we couldn't find it, raise an error
raise RuntimeError(
"Could not find repository root. "
"Expected to find a directory containing 'src' and/or 'include' folders."
)
def main():
# Change to the script's directory
script_dir = Path(__file__).parent.resolve()
os.chdir(script_dir)
# Clean up and create results directory.
results_dir = script_dir / "results"
if results_dir.exists():
import shutil
shutil.rmtree(results_dir)
results_dir.mkdir()
# Find the repository root by searching for src and include directories.
try:
repo_root, scan_dirs = find_repository_directories(script_dir)
print(f"Found repository root: {repo_root}")
print(f"Scanning directories:")
for scan_dir in scan_dirs:
print(f" - {scan_dir.relative_to(repo_root)}")
except RuntimeError as e:
print(f"Error: {e}", file=sys.stderr)
sys.exit(1)
print("\nScanning for raw includes...")
# Find all #include directives
raw_includes: List[Tuple[str, str]] = []
rawincludes_file = results_dir / "rawincludes.txt"
# Write to file as we go to avoid storing everything in memory.
with open(rawincludes_file, "w", buffering=8192) as raw_f:
for dir_path in scan_dirs:
print(f" Scanning {dir_path.relative_to(repo_root)}...")
for file_path in dir_path.rglob("*"):
if not file_path.is_file():
continue
try:
rel_path_str = str(file_path.relative_to(repo_root))
# Read file with a large buffer for performance.
with open(
file_path,
"r",
encoding="utf-8",
errors="ignore",
buffering=8192,
) as f:
for line in f:
# Quick check before regex
if "#include" not in line or "boost" in line:
continue
if INCLUDE_PATTERN.match(line):
line_stripped = line.strip()
entry = f"{rel_path_str}:{line_stripped}\n"
print(entry, end="")
raw_f.write(entry)
raw_includes.append((rel_path_str, line_stripped))
except Exception as e:
print(f"Error reading {file_path}: {e}", file=sys.stderr)
# Build levelization paths and count directly (no need to sort first).
print("Build levelization paths")
path_counts: Dict[Tuple[str, str], int] = defaultdict(int)
for file_path, include_line in raw_includes:
include_level = extract_include_level(include_line)
if not include_level:
continue
level = get_level(file_path)
if level != include_level:
path_counts[(level, include_level)] += 1
# Sort and deduplicate paths (using dictionary order like bash 'sort -d').
print("Sort and deduplicate paths")
paths_file = results_dir / "paths.txt"
with open(paths_file, "w") as f:
# Sort using dictionary order: only alphanumeric and spaces matter
sorted_items = sorted(
path_counts.items(),
key=lambda x: (dictionary_sort_key(x[0][0]), dictionary_sort_key(x[0][1])),
)
for (level, include_level), count in sorted_items:
line = f"{count:7} {level} {include_level}\n"
print(line.rstrip())
f.write(line)
# Split into flat-file database
print("Split into flat-file database")
includes_dir = results_dir / "includes"
included_by_dir = results_dir / "included_by"
includes_dir.mkdir()
included_by_dir.mkdir()
# Batch writes by grouping data first to avoid repeated file opens.
includes_data: Dict[str, List[Tuple[str, int]]] = defaultdict(list)
included_by_data: Dict[str, List[Tuple[str, int]]] = defaultdict(list)
# Process in sorted order to match bash script behaviour (dictionary order).
sorted_items = sorted(
path_counts.items(),
key=lambda x: (dictionary_sort_key(x[0][0]), dictionary_sort_key(x[0][1])),
)
for (level, include_level), count in sorted_items:
includes_data[level].append((include_level, count))
included_by_data[include_level].append((level, count))
# Write all includes files in sorted order (dictionary order).
for level in sorted(includes_data.keys(), key=dictionary_sort_key):
entries = includes_data[level]
with open(includes_dir / level, "w") as f:
for include_level, count in entries:
line = f"{include_level} {count}\n"
print(line.rstrip())
f.write(line)
# Write all included_by files in sorted order (dictionary order).
for include_level in sorted(included_by_data.keys(), key=dictionary_sort_key):
entries = included_by_data[include_level]
with open(included_by_dir / include_level, "w") as f:
for level, count in entries:
line = f"{level} {count}\n"
print(line.rstrip())
f.write(line)
# Search for loops
print("Search for loops")
loops_file = results_dir / "loops.txt"
ordering_file = results_dir / "ordering.txt"
loops_found: Set[Tuple[str, str]] = set()
# Pre-load all include files into memory to avoid repeated I/O.
# This is the biggest optimisation - we were reading files repeatedly in nested loops.
# Use list of tuples to preserve file order.
includes_cache: Dict[str, List[Tuple[str, int]]] = {}
includes_lookup: Dict[str, Dict[str, int]] = {} # For fast lookup
# Note: bash script uses 'for source in *' which uses standard glob sorting,
# NOT dictionary order. So we use standard sorted() here, not dictionary_sort_key.
for include_file in sorted(includes_dir.iterdir(), key=lambda p: p.name):
if not include_file.is_file():
continue
includes_cache[include_file.name] = []
includes_lookup[include_file.name] = {}
with open(include_file, "r") as f:
for line in f:
parts = line.strip().split()
if len(parts) >= 2:
include_name = parts[0]
include_count = int(parts[1])
includes_cache[include_file.name].append(
(include_name, include_count)
)
includes_lookup[include_file.name][include_name] = include_count
with open(loops_file, "w", buffering=8192) as loops_f, open(
ordering_file, "w", buffering=8192
) as ordering_f:
# Use standard sorting to match bash glob expansion 'for source in *'.
for source in sorted(includes_cache.keys()):
source_includes = includes_cache[source]
for include, include_freq in source_includes:
# Check if include file exists and references source
if include not in includes_lookup:
continue
source_freq = includes_lookup[include].get(source)
if source_freq is not None:
# Found a loop
loop_key = tuple(sorted([source, include]))
if loop_key in loops_found:
continue
loops_found.add(loop_key)
loops_f.write(f"Loop: {source} {include}\n")
# If the counts are close, indicate that the two modules are
# on the same level, though they shouldn't be.
diff = include_freq - source_freq
if diff > 3:
loops_f.write(f" {source} > {include}\n\n")
elif diff < -3:
loops_f.write(f" {include} > {source}\n\n")
elif source_freq == include_freq:
loops_f.write(f" {include} == {source}\n\n")
else:
loops_f.write(f" {include} ~= {source}\n\n")
else:
ordering_f.write(f"{source} > {include}\n")
# Print results
print("\nOrdering:")
with open(ordering_file, "r") as f:
print(f.read(), end="")
print("\nLoops:")
with open(loops_file, "r") as f:
print(f.read(), end="")
if __name__ == "__main__":
main()

130
.github/scripts/levelization/generate.sh vendored Executable file
View File

@@ -0,0 +1,130 @@
#!/bin/bash
# Usage: generate.sh
# This script takes no parameters, reads no environment variables,
# and can be run from any directory, as long as it is in the expected
# location in the repo.
pushd $( dirname $0 )
if [ -v PS1 ]
then
# if the shell is interactive, clean up any flotsam before analyzing
git clean -ix
fi
# Ensure all sorting is ASCII-order consistently across platforms.
export LANG=C
rm -rfv results
mkdir results
includes="$( pwd )/results/rawincludes.txt"
pushd ../../..
echo Raw includes:
grep -r '^[ ]*#include.*/.*\.h' include src | \
grep -v boost | tee ${includes}
popd
pushd results
oldifs=${IFS}
IFS=:
mkdir includes
mkdir included_by
echo Build levelization paths
exec 3< ${includes} # open rawincludes.txt for input
while read -r -u 3 file include
do
level=$( echo ${file} | cut -d/ -f 2,3 )
# If the "level" indicates a file, cut off the filename
if [[ "${level##*.}" != "${level}" ]]
then
# Use the "toplevel" label as a workaround for `sort`
# inconsistencies between different utility versions
level="$( dirname ${level} )/toplevel"
fi
level=$( echo ${level} | tr '/' '.' )
includelevel=$( echo ${include} | sed 's/.*["<]//; s/[">].*//' | \
cut -d/ -f 1,2 )
if [[ "${includelevel##*.}" != "${includelevel}" ]]
then
# Use the "toplevel" label as a workaround for `sort`
# inconsistencies between different utility versions
includelevel="$( dirname ${includelevel} )/toplevel"
fi
includelevel=$( echo ${includelevel} | tr '/' '.' )
if [[ "$level" != "$includelevel" ]]
then
echo $level $includelevel | tee -a paths.txt
fi
done
echo Sort and deduplicate paths
sort -ds paths.txt | uniq -c | tee sortedpaths.txt
mv sortedpaths.txt paths.txt
exec 3>&- #close fd 3
IFS=${oldifs}
unset oldifs
echo Split into flat-file database
exec 4<paths.txt # open paths.txt for input
while read -r -u 4 count level include
do
echo ${include} ${count} | tee -a includes/${level}
echo ${level} ${count} | tee -a included_by/${include}
done
exec 4>&- #close fd 4
loops="$( pwd )/loops.txt"
ordering="$( pwd )/ordering.txt"
pushd includes
echo Search for loops
# Redirect stdout to a file
exec 4>&1
exec 1>"${loops}"
for source in *
do
if [[ -f "$source" ]]
then
exec 5<"${source}" # open for input
while read -r -u 5 include includefreq
do
if [[ -f $include ]]
then
if grep -q -w $source $include
then
if grep -q -w "Loop: $include $source" "${loops}"
then
continue
fi
sourcefreq=$( grep -w $source $include | cut -d\ -f2 )
echo "Loop: $source $include"
# If the counts are close, indicate that the two modules are
# on the same level, though they shouldn't be
if [[ $(( $includefreq - $sourcefreq )) -gt 3 ]]
then
echo -e " $source > $include\n"
elif [[ $(( $sourcefreq - $includefreq )) -gt 3 ]]
then
echo -e " $include > $source\n"
elif [[ $sourcefreq -eq $includefreq ]]
then
echo -e " $include == $source\n"
else
echo -e " $include ~= $source\n"
fi
else
echo "$source > $include" >> "${ordering}"
fi
fi
done
exec 5>&- #close fd 5
fi
done
exec 1>&4 #close fd 1
exec 4>&- #close fd 4
cat "${ordering}"
cat "${loops}"
popd
popd
popd

View File

@@ -2,25 +2,19 @@ Loop: test.jtx test.toplevel
test.toplevel > test.jtx
Loop: test.jtx test.unit_test
test.unit_test ~= test.jtx
Loop: xrpl.telemetry xrpld.rpc
xrpld.rpc > xrpl.telemetry
test.unit_test == test.jtx
Loop: xrpld.app xrpld.overlay
xrpld.app > xrpld.overlay
xrpld.overlay ~= xrpld.app
Loop: xrpld.app xrpld.peerfinder
xrpld.peerfinder ~= xrpld.app
xrpld.peerfinder == xrpld.app
Loop: xrpld.app xrpld.rpc
xrpld.rpc > xrpld.app
Loop: xrpld.app xrpld.shamap
xrpld.shamap > xrpld.app
Loop: xrpld.app xrpld.telemetry
xrpld.telemetry ~= xrpld.app
xrpld.shamap ~= xrpld.app
Loop: xrpld.overlay xrpld.rpc
xrpld.rpc ~= xrpld.overlay

View File

@@ -1,25 +1,18 @@
libxrpl.basics > xrpl.basics
libxrpl.conditions > xrpl.basics
libxrpl.conditions > xrpl.conditions
libxrpl.config > xrpl.basics
libxrpl.config > xrpl.config
libxrpl.core > xrpl.basics
libxrpl.core > xrpl.core
libxrpl.core > xrpl.json
libxrpl.crypto > xrpl.basics
libxrpl.json > xrpl.basics
libxrpl.json > xrpl.json
libxrpl.ledger > xrpl.basics
libxrpl.ledger > xrpl.json
libxrpl.ledger > xrpl.ledger
libxrpl.ledger > xrpl.nodestore
libxrpl.ledger > xrpl.protocol
libxrpl.ledger > xrpl.server
libxrpl.ledger > xrpl.shamap
libxrpl.net > xrpl.basics
libxrpl.net > xrpl.net
libxrpl.nodestore > xrpl.basics
libxrpl.nodestore > xrpl.config
libxrpl.nodestore > xrpl.json
libxrpl.nodestore > xrpl.nodestore
libxrpl.nodestore > xrpl.protocol
@@ -27,28 +20,18 @@ libxrpl.protocol > xrpl.basics
libxrpl.protocol > xrpl.json
libxrpl.protocol > xrpl.protocol
libxrpl.rdb > xrpl.basics
libxrpl.rdb > xrpl.config
libxrpl.rdb > xrpl.core
libxrpl.rdb > xrpl.rdb
libxrpl.resource > xrpl.basics
libxrpl.resource > xrpl.json
libxrpl.resource > xrpl.protocol
libxrpl.resource > xrpl.resource
libxrpl.server > xrpl.basics
libxrpl.server > xrpl.config
libxrpl.server > xrpl.core
libxrpl.server > xrpl.json
libxrpl.server > xrpl.protocol
libxrpl.server > xrpl.rdb
libxrpl.server > xrpl.resource
libxrpl.server > xrpl.server
libxrpl.shamap > xrpl.basics
libxrpl.shamap > xrpl.nodestore
libxrpl.shamap > xrpl.protocol
libxrpl.shamap > xrpl.shamap
libxrpl.telemetry > xrpl.basics
libxrpl.telemetry > xrpl.config
libxrpl.telemetry > xrpl.telemetry
libxrpl.tx > xrpl.basics
libxrpl.tx > xrpl.conditions
libxrpl.tx > xrpl.core
@@ -56,15 +39,14 @@ libxrpl.tx > xrpl.json
libxrpl.tx > xrpl.ledger
libxrpl.tx > xrpl.protocol
libxrpl.tx > xrpl.server
libxrpl.tx > xrpl.telemetry
libxrpl.tx > xrpl.tx
test.app > test.jtx
test.app > test.rpc
test.app > test.toplevel
test.app > test.unit_test
test.app > xrpl.basics
test.app > xrpl.config
test.app > xrpl.core
test.app > xrpld.app
test.app > xrpld.consensus
test.app > xrpld.core
test.app > xrpld.overlay
test.app > xrpld.rpc
@@ -72,9 +54,9 @@ test.app > xrpl.json
test.app > xrpl.ledger
test.app > xrpl.nodestore
test.app > xrpl.protocol
test.app > xrpl.rdb
test.app > xrpl.resource
test.app > xrpl.server
test.app > xrpl.shamap
test.app > xrpl.tx
test.basics > test.jtx
test.basics > test.unit_test
@@ -87,35 +69,30 @@ test.beast > xrpl.basics
test.conditions > xrpl.basics
test.conditions > xrpl.conditions
test.consensus > test.csf
test.consensus > test.jtx
test.consensus > test.toplevel
test.consensus > test.unit_test
test.consensus > xrpl.basics
test.consensus > xrpld.app
test.consensus > xrpld.consensus
test.consensus > xrpl.json
test.consensus > xrpl.ledger
test.consensus > xrpl.protocol
test.consensus > xrpl.shamap
test.consensus > xrpl.tx
test.core > test.jtx
test.core > test.toplevel
test.core > test.unit_test
test.core > xrpl.basics
test.core > xrpl.config
test.core > xrpl.core
test.core > xrpld.core
test.core > xrpl.json
test.core > xrpl.protocol
test.core > xrpl.rdb
test.core > xrpl.server
test.csf > xrpl.basics
test.csf > xrpld.consensus
test.csf > xrpl.json
test.csf > xrpl.ledger
test.csf > xrpl.protocol
test.json > test.jtx
test.json > xrpl.json
test.jtx > xrpl.basics
test.jtx > xrpl.config
test.jtx > xrpl.core
test.jtx > xrpld.app
test.jtx > xrpld.core
@@ -128,34 +105,27 @@ test.jtx > xrpl.resource
test.jtx > xrpl.server
test.jtx > xrpl.tx
test.ledger > test.jtx
test.ledger > test.toplevel
test.ledger > xrpl.basics
test.ledger > xrpl.core
test.ledger > xrpld.app
test.ledger > xrpld.core
test.ledger > xrpl.json
test.ledger > xrpl.ledger
test.ledger > xrpl.protocol
test.nodestore > test.jtx
test.nodestore > test.toplevel
test.nodestore > test.unit_test
test.nodestore > xrpl.basics
test.nodestore > xrpl.config
test.nodestore > xrpld.core
test.nodestore > xrpl.nodestore
test.nodestore > xrpl.protocol
test.nodestore > xrpl.rdb
test.overlay > test.jtx
test.overlay > test.toplevel
test.overlay > test.unit_test
test.overlay > xrpl.basics
test.overlay > xrpl.config
test.overlay > xrpld.app
test.overlay > xrpld.core
test.overlay > xrpld.overlay
test.overlay > xrpld.peerfinder
test.overlay > xrpl.json
test.overlay > xrpl.nodestore
test.overlay > xrpl.protocol
test.overlay > xrpl.resource
test.overlay > xrpl.server
test.overlay > xrpl.shamap
test.peerfinder > test.beast
test.peerfinder > test.unit_test
@@ -163,8 +133,7 @@ test.peerfinder > xrpl.basics
test.peerfinder > xrpld.core
test.peerfinder > xrpld.peerfinder
test.peerfinder > xrpl.protocol
test.protocol > test.jtx
test.protocol > test.unit_test
test.protocol > test.toplevel
test.protocol > xrpl.basics
test.protocol > xrpl.json
test.protocol > xrpl.protocol
@@ -172,8 +141,8 @@ test.resource > test.unit_test
test.resource > xrpl.basics
test.resource > xrpl.resource
test.rpc > test.jtx
test.rpc > test.toplevel
test.rpc > xrpl.basics
test.rpc > xrpl.config
test.rpc > xrpl.core
test.rpc > xrpld.app
test.rpc > xrpld.core
@@ -186,42 +155,30 @@ test.rpc > xrpl.resource
test.rpc > xrpl.server
test.rpc > xrpl.tx
test.server > test.jtx
test.server > test.toplevel
test.server > test.unit_test
test.server > xrpl.basics
test.server > xrpl.config
test.server > xrpld.app
test.server > xrpld.core
test.server > xrpld.rpc
test.server > xrpl.json
test.server > xrpl.protocol
test.server > xrpl.server
test.shamap > test.unit_test
test.shamap > xrpl.basics
test.shamap > xrpl.config
test.shamap > xrpl.nodestore
test.shamap > xrpl.protocol
test.shamap > xrpl.shamap
test.toplevel > test.csf
test.toplevel > xrpl.json
test.unit_test > xrpl.basics
test.unit_test > xrpl.protocol
tests.libxrpl > xrpl.basics
tests.libxrpl > xrpl.config
tests.libxrpl > xrpl.core
tests.libxrpl > xrpl.json
tests.libxrpl > xrpl.ledger
tests.libxrpl > xrpl.net
tests.libxrpl > xrpl.nodestore
tests.libxrpl > xrpl.protocol
tests.libxrpl > xrpl.protocol_autogen
tests.libxrpl > xrpl.server
tests.libxrpl > xrpl.shamap
tests.libxrpl > xrpl.telemetry
tests.libxrpl > xrpl.tx
xrpl.conditions > xrpl.basics
xrpl.conditions > xrpl.protocol
xrpl.config > xrpl.basics
xrpl.core > xrpl.basics
xrpl.core > xrpl.json
xrpl.core > xrpl.ledger
xrpl.core > xrpl.protocol
xrpl.json > xrpl.basics
xrpl.ledger > xrpl.basics
@@ -230,12 +187,9 @@ xrpl.ledger > xrpl.server
xrpl.ledger > xrpl.shamap
xrpl.net > xrpl.basics
xrpl.nodestore > xrpl.basics
xrpl.nodestore > xrpl.config
xrpl.nodestore > xrpl.protocol
xrpl.protocol > xrpl.basics
xrpl.protocol > xrpl.json
xrpl.protocol_autogen > xrpl.json
xrpl.protocol_autogen > xrpl.protocol
xrpl.rdb > xrpl.basics
xrpl.rdb > xrpl.core
xrpl.rdb > xrpl.protocol
@@ -252,15 +206,12 @@ xrpl.server > xrpl.shamap
xrpl.shamap > xrpl.basics
xrpl.shamap > xrpl.nodestore
xrpl.shamap > xrpl.protocol
xrpl.telemetry > xrpl.config
xrpl.tx > xrpl.basics
xrpl.tx > xrpl.core
xrpl.tx > xrpl.ledger
xrpl.tx > xrpl.protocol
xrpl.tx > xrpl.telemetry
xrpld.app > test.unit_test
xrpld.app > xrpl.basics
xrpld.app > xrpl.config
xrpld.app > xrpl.core
xrpld.app > xrpld.consensus
xrpld.app > xrpld.core
@@ -273,47 +224,35 @@ xrpld.app > xrpl.rdb
xrpld.app > xrpl.resource
xrpld.app > xrpl.server
xrpld.app > xrpl.shamap
xrpld.app > xrpl.telemetry
xrpld.app > xrpl.tx
xrpld.consensus > xrpl.basics
xrpld.consensus > xrpl.json
xrpld.consensus > xrpl.ledger
xrpld.consensus > xrpl.protocol
xrpld.consensus > xrpl.telemetry
xrpld.core > xrpl.basics
xrpld.core > xrpl.config
xrpld.core > xrpl.core
xrpld.core > xrpl.json
xrpld.core > xrpl.net
xrpld.core > xrpl.protocol
xrpld.core > xrpl.rdb
xrpld.overlay > xrpl.basics
xrpld.overlay > xrpl.config
xrpld.overlay > xrpl.core
xrpld.overlay > xrpld.consensus
xrpld.overlay > xrpld.core
xrpld.overlay > xrpld.peerfinder
xrpld.overlay > xrpld.telemetry
xrpld.overlay > xrpl.json
xrpld.overlay > xrpl.ledger
xrpld.overlay > xrpl.protocol
xrpld.overlay > xrpl.rdb
xrpld.overlay > xrpl.resource
xrpld.overlay > xrpl.server
xrpld.overlay > xrpl.shamap
xrpld.overlay > xrpl.telemetry
xrpld.overlay > xrpl.tx
xrpld.peerfinder > xrpl.basics
xrpld.peerfinder > xrpl.config
xrpld.peerfinder > xrpld.core
xrpld.peerfinder > xrpl.protocol
xrpld.peerfinder > xrpl.rdb
xrpld.perflog > xrpl.basics
xrpld.perflog > xrpl.config
xrpld.perflog > xrpl.core
xrpld.perflog > xrpld.rpc
xrpld.perflog > xrpl.json
xrpld.perflog > xrpl.protocol
xrpld.rpc > xrpl.basics
xrpld.rpc > xrpl.config
xrpld.rpc > xrpl.core
xrpld.rpc > xrpld.core
xrpld.rpc > xrpl.json
@@ -324,12 +263,5 @@ xrpld.rpc > xrpl.protocol
xrpld.rpc > xrpl.rdb
xrpld.rpc > xrpl.resource
xrpld.rpc > xrpl.server
xrpld.rpc > xrpl.shamap
xrpld.rpc > xrpl.tx
xrpld.shamap > xrpl.basics
xrpld.shamap > xrpld.core
xrpld.shamap > xrpl.protocol
xrpld.shamap > xrpl.shamap
xrpld.telemetry > xrpl.basics
xrpld.telemetry > xrpld.consensus
xrpld.telemetry > xrpl.telemetry

View File

@@ -1,70 +0,0 @@
# OTel naming-consistency check
`check_otel_naming.py` enforces the OpenTelemetry span-attribute naming
convention documented in
[CONTRIBUTING.md](../../../CONTRIBUTING.md#telemetry-span-attribute-naming)
across every layer of the telemetry pipeline. The `*SpanNames.h` constants are
the single source of truth (L1); every other layer must agree with them.
## Running locally
```
python .github/scripts/otel-naming/check_otel_naming.py
```
It takes no arguments, can be run from any directory inside the repo, and uses
only the Python standard library (no `pip install`, matching the levelization
check). A non-zero exit code means a violation was found; the output lists each
violation as `RULE | location | token | expected`.
## What it checks
The valid key set is **derived dynamically from the OTel code** — there is no
hardcoded allowlist:
- **L1 keys** come from the `namespace attr { ... }` blocks of every
`*SpanNames.h`, resolving the `makeStr("x")` / `join(seg::a, seg::b)` DSL
(cross-file, so `join(seg::rpc, ...)` resolves `seg::rpc` from the base
`SpanNames.h`). Each constant is resolved against **its own** header, so two
headers that define a same-named constant (e.g. a base `attr::ledgerHash` and
a domain `attr::ledgerHash`) each contribute their real wire key — a later
header cannot clobber an earlier one's value in a flat table.
- **Legitimate dotted keys** = ONLY the keys the code actually sets as resource
attributes, i.e. the entries inside `Telemetry.cpp`'s `Resource::Create({...})`
call: the `semconv::service::*` keys (`service.*`) plus any `attr::<name>`
constants passed there (`xrpl.network.*`). A dotted key that is _declared_ in a
header but never set as a resource attr is a span attribute in resource
clothing — a Rule-A violation, even if it lives in the base `SpanNames.h`.
### Rules (each fails the build, when its inputs are present)
| Rule | Check |
| ---- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| A | No stray dotted span-attribute key (only the derived resource keys may be dotted). |
| G | Attribute keys are `lower_snake_case` (`^[a-z][a-z0-9_]*$` per dot-segment) — no camelCase, UPPERCASE, or spaces. |
| F | No string literals as attribute keys or span-name arguments in `setAttribute`/`addEvent`/`span`/`childSpan`. Attribute _values_ are exempt (runtime data); `*SpanNames.h` definitions and test files are exempt. |
| B | Every collector `spanmetrics.dimensions` name exists in the L1 key set. |
| C | Every Tempo span-filter tag exists in the L1 key set. |
| D | Every dashboard label resolves to an L1 span attribute, a native-metric label (L6, emitted by MetricsRegistry), or a Prometheus/Grafana builtin. TraceQL scope prefixes (`span.`/`resource.`/…) are stripped before the L1 lookup. |
| E | No dotted `xrpl.<domain>.<field>` attribute key in the runbook (only the L1 resource attrs `xrpl.network.*` may be dotted). Span names, filenames, OTel-standard keys, and metric labels are not flagged. |
Rule F runs **unconditionally** (it is a purely syntactic check on the
call-sites and needs no `*SpanNames.h`), so a code path that calls
`SpanGuard::span`/`setAttribute` directly without ever defining a header is
still caught.
### Warnings (printed, never fail the build)
| Rule | Check |
| ---- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| H | A namespace-qualified constant (e.g. `foo::bar::myKey`) used at a telemetry call-site is not defined in any `*SpanNames.h`. The constant should live in the proper header; defining it in-place bypasses rules A/G/F. Warns rather than fails — the argument may be a legitimately dynamic value, and the header may live on a later branch. Bare locals and `std::` names are not warned. |
## Presence-gated
Every rule runs **only when the source files it needs are present** in the tree
and is otherwise skipped (printed as `SKIP: <rule> — <reason>`), never failed.
This keeps the check correct no matter how telemetry work is split across PRs —
a stacked chain, one large PR, or independent per-stage PRs where (for example)
the collector config lands before the dashboards. The collector/Tempo/dashboard/
runbook layers are introduced in later phases; on a branch without them, only
the L1-intrinsic rules (A, G, F) run.

View File

@@ -1,885 +0,0 @@
#!/usr/bin/env python3
"""
Usage: check_otel_naming.py
This script takes no parameters and can be called from any directory inside the
repository (it locates the repo root via `git rev-parse`).
Enforces the OpenTelemetry span-attribute naming convention documented in
CONTRIBUTING.md ("Telemetry span attribute naming") across every layer of the
telemetry pipeline. The `*SpanNames.h` constants are the single source of truth
(L1); every other layer must agree with them.
Design principles
-----------------
1. No hardcoded allowlist. The set of valid attribute keys — including which
dotted keys are legitimate resource attributes — is derived dynamically by
parsing the repository's own OTel code:
* `*SpanNames.h` `namespace attr { ... }` blocks (the underscore/bare keys
and the `join(seg::..., ...)` dotted resource compositions), and
* the keys the code passes to `Resource::Create({ ... })` in Telemetry.cpp
(the standard `semconv::service::*` keys -> service.name/version/...).
2. Presence-gated enforcement. Every rule runs ONLY when the source files it
needs are present in the tree, and is otherwise skipped (never failed). This
keeps the check correct no matter how work is split across PRs: a stacked
chain, one large PR, or independent per-stage PRs where (for example) the
collector config lands in a different PR than the dashboards. The check never
assumes a file from another phase/PR exists.
Layers
------
L1 code : src/**/*SpanNames.h, include/**/*SpanNames.h (ground truth)
L1 resource : src/libxrpl/telemetry/Telemetry.cpp (dotted allowlist)
L1 callsites : setAttribute/addEvent/span/childSpan in src/**, include/**
L2 collector : docker/telemetry/otel-collector-config.yaml (spanmetrics dims)
L3 tempo : docker/telemetry/tempo.yaml (span filter tags)
L4 dashboards: docker/telemetry/grafana/dashboards/*.json (PromQL labels)
L5 runbook : docs/telemetry-runbook.md (attr tables)
L6 metrics : MetricsRegistry.cpp instrument labels (native-metric
label keys, a valid dashboard-label source besides L1)
Rules (each FAILS the build, when its inputs are present)
---------------------------------------------------------
A No stray dotted span-attribute key. A dotted `<a>.<b>` used as a span
attribute that is not in the derived resource-key set is a violation.
G Attribute keys must be lower_snake_case (^[a-z][a-z0-9_]*$ per segment).
Flags camelCase, UPPERCASE, spaces, and other stray characters.
F No string literals as attribute keys or span-name arguments. The
setAttribute/addEvent key and the span/childSpan prefix/name args must
reference a *SpanNames.h constant, never a "literal". Attribute VALUES are
exempt (runtime data). Definitions inside *SpanNames.h are exempt, and
test files are exempt (they pass arbitrary literals to exercise the API).
B Every collector spanmetrics dimension exists in the L1 key set.
C Every tempo span-filter tag exists in the L1 key set.
D Every dashboard label resolves to an L1 span attribute, an L6
native-metric label, or a builtin. TraceQL `span.`/`resource.` scope
prefixes are stripped before the L1 lookup.
E No dotted `xrpl.<domain>.<field>` attribute key in the runbook (only the
L1 resource attrs xrpl.network.* may be dotted). Span names, filenames,
OTel-standard keys, and metric labels are not flagged.
Warnings (printed, but do NOT fail the build)
----------------------------------------------
H A constant referenced at a telemetry call-site is not defined in any
*SpanNames.h. Span constants should live in the corresponding
*SpanNames.h (single source of truth); defining one in-place bypasses the
naming rules. A warning (not a failure) because the argument may instead
be a legitimately dynamic local (e.g. a computed span-name leaf).
Exit code is non-zero if any present-and-enforced rule finds a violation.
Warnings never change the exit code.
"""
import re
import subprocess
import sys
from pathlib import Path
from typing import Dict, List, Optional, Set, Tuple
# ---------------------------------------------------------------------------
# Repo location
# ---------------------------------------------------------------------------
def repo_root() -> Path:
"""Return the repository root, so the script works from any CWD.
Exits with a readable message (not a traceback) if git is unavailable or the
CWD is outside a repository."""
try:
out = subprocess.run(
["git", "rev-parse", "--show-toplevel"],
capture_output=True,
text=True,
check=True,
)
except (subprocess.CalledProcessError, FileNotFoundError):
print(
"error: check_otel_naming.py must be run inside the git repository.",
file=sys.stderr,
)
sys.exit(2)
return Path(out.stdout.strip())
def read_source(path: Path) -> str:
"""Read a file as UTF-8, tolerating stray non-UTF-8 bytes rather than
crashing the whole check on one bad byte."""
return path.read_text(encoding="utf-8", errors="ignore")
# ---------------------------------------------------------------------------
# Regexes (compiled once)
# ---------------------------------------------------------------------------
# A segment/string constant definition: `inline constexpr auto NAME = <expr>;`
CONST_DEF = re.compile(r"inline\s+constexpr\s+auto\s+(\w+)\s*=\s*(.+?);", re.DOTALL)
MAKESTR = re.compile(r'makeStr\(\s*"([^"]*)"\s*\)')
# A `namespace <name> {` opener, to track which namespace a constant lives in.
NS_OPEN = re.compile(r"namespace\s+([\w:]+)\s*\{")
# A `using ::a::b::field;` re-export inside an attr block; captures the leaf.
USING_DECL = re.compile(r"using\s+(?:::)?[\w:]*::(\w+)\s*;")
# Telemetry call-sites whose string arguments must be constants, not literals.
# Require a receiver so we match real SpanGuard calls, not std::span / a math
# `span(...)` / a bare method declaration:
# - `SpanGuard::span(` / `SpanGuard::childSpan(` (static factory)
# - `<obj>.span(` / `<obj>->setAttribute(` etc. (member call)
# `span`/`childSpan` additionally require the `SpanGuard`/`.`/`->` receiver;
# `setAttribute`/`addEvent` only ever exist on a guard, so a `.`/`->` suffices.
CALLSITE = re.compile(
r"(?:SpanGuard::|\.|->)\s*(setAttribute|addEvent|span|childSpan)\s*\("
)
# A C++ string literal (used to flag literals inside call-site argument lists).
STRING_LITERAL = re.compile(r'"((?:[^"\\]|\\.)*)"')
# A C++ line comment (`//` ... end of line) and a block comment (`/* ... */`).
LINE_COMMENT = re.compile(r"//[^\n]*")
BLOCK_COMMENT = re.compile(r"/\*.*?\*/", re.DOTALL)
# A TraceQL scope prefix on a label (`span.`, `resource.`, `event.`, etc.).
# Dashboards reference span attributes in TraceQL as `span.<attr>`; the bare
# attribute is what must exist in L1, so strip the scope before validating.
TRACEQL_SCOPE = re.compile(r"^(?:span|resource|event|link|instrumentation_scope)\.")
# An OTel metric label key as emitted in C++: `Add(.., {{"label", ...}})` /
# `{{"label", value}}` instrument calls in MetricsRegistry.
METRIC_LABEL = re.compile(r'\{\{\s*"([a-z_][a-z0-9_]*)"\s*,')
def strip_comments(text: str) -> str:
"""Remove C/C++ `//` line comments and `/* ... */` block comments.
Used only for L1 attribute-key extraction so that a commented-out or
illustrative `makeStr("...")` inside a `namespace attr` block does not leak
into the authoritative key set. Rule F deliberately does NOT strip comments
— it must still see `@code` doc-comment examples so their call-site
arguments are held to the constant-only convention.
String literals are not specially handled; a `//` or `/*` appearing inside a
string is vanishingly rare in the *SpanNames.h headers and would at worst
drop a constant from L1 (a conservative direction).
"""
text = BLOCK_COMMENT.sub("", text)
text = LINE_COMMENT.sub("", text)
return text
# ---------------------------------------------------------------------------
# L1: parse *SpanNames.h into the authoritative key set
# ---------------------------------------------------------------------------
def find_spanname_headers(root: Path) -> List[Path]:
return sorted(
p
for p in list((root / "src").rglob("*SpanNames.h"))
+ list((root / "include").rglob("*SpanNames.h"))
if p.is_file()
)
def resolve_constants(
text: str, symbols: Optional[Dict[str, str]] = None
) -> Dict[str, str]:
"""Resolve `inline constexpr auto NAME = <makeStr/join expr>` to strings.
Supports the small constexpr DSL used by SpanNames.h:
makeStr("x") -> "x"
join(a, b) -> resolve(a) + "." + resolve(b)
seg::xrpl / attr::foo -> looked up in the symbol table
The optional `symbols` argument seeds (and is updated in place with) the
table, so a global pass over ALL *SpanNames.h headers can resolve
cross-file references such as `join(seg::rpc, ...)` where `seg::rpc` is
defined in the base SpanNames.h. Keys are stored by their bare name
(last `::` component), so `seg::rpc` and `rpc` both resolve.
"""
if symbols is None:
symbols = {}
def resolve_expr(expr: str) -> Optional[str]:
expr = expr.strip()
m = MAKESTR.fullmatch(expr)
if m:
return m.group(1)
if expr.startswith("join(") and expr.endswith(")"):
args = split_top_level_args(expr[len("join(") : -1])
parts = [resolve_expr(a) for a in args]
if any(p is None for p in parts):
return None
return ".".join(p for p in parts if p is not None)
# Bare or qualified symbol reference, e.g. `seg::xrpl` or `networkId`.
key = expr.split("::")[-1]
return symbols.get(key, symbols.get(expr))
# Iterate definitions in source order so earlier symbols are available.
for m in CONST_DEF.finditer(text):
name, expr = m.group(1), m.group(2)
val = resolve_expr(expr)
if val is not None:
symbols[name] = val
return symbols
def build_global_symbols(headers: List[Path]) -> Dict[str, str]:
"""Resolve constants across ALL headers so cross-file `seg::`/`join`
references (e.g. `join(seg::rpc, ...)` in RpcSpanNames.h, where `seg::rpc`
lives in the base SpanNames.h) resolve. Base SpanNames.h is processed
first so its `seg::` segments seed the table."""
symbols: Dict[str, str] = {}
ordered = sorted(headers, key=lambda p: (p.name != "SpanNames.h", str(p)))
# Two passes: the first seeds segments, the second resolves dependents.
# Comments are stripped so a commented-out constant cannot seed the table.
for _ in range(2):
for h in ordered:
resolve_constants(strip_comments(read_source(h)), symbols)
return symbols
def split_top_level_args(s: str) -> List[str]:
"""Split a comma-separated arg list, respecting nested parentheses and
ignoring parens/commas that appear inside a "string literal" (so a value
like `setAttribute(k, ",")` does not get mis-split)."""
args, depth, cur = [], 0, ""
in_str = False
escaped = False
for ch in s:
if in_str:
cur += ch
if escaped:
escaped = False
elif ch == "\\":
escaped = True
elif ch == '"':
in_str = False
continue
if ch == '"':
in_str = True
cur += ch
elif ch == "(":
depth += 1
cur += ch
elif ch == ")":
depth -= 1
cur += ch
elif ch == "," and depth == 0:
args.append(cur)
cur = ""
else:
cur += ch
if cur.strip():
args.append(cur)
return args
def attr_namespace_spans(text: str) -> List[str]:
"""Return the source text of each `namespace attr { ... }` block in `text`.
Brace-matched over the whole (comment-stripped) text, so a definition that
wraps across several physical lines is contained in one span. Nested braces
inside the block are balanced correctly."""
spans: List[str] = []
for opener in NS_OPEN.finditer(text):
if opener.group(1).split("::")[-1] != "attr":
continue
# Walk from the opening brace, balancing nesting to the matching close.
i = opener.end() # one char past the namespace's `{`
depth = 1
start = i
while i < len(text) and depth > 0:
c = text[i]
if c == "{":
depth += 1
elif c == "}":
depth -= 1
i += 1
spans.append(text[start : i - 1])
return spans
def attr_keys_from_header(path: Path, symbols: Dict[str, str]) -> Set[str]:
"""Return the set of attribute-key strings declared in a header's
`namespace attr { ... }` block(s). `symbols` is the global cross-file
table, used ONLY to seed `seg::`/segment references for `join(...)`
resolution — never to look up an attr constant's value.
A constant DEFINED in this header is resolved against this header's OWN
text, so two headers that each define a same-named constant (e.g. the base
`attr::ledgerHash = xrpl.ledger.hash` and consensus
`attr::ledgerHash = ledger_hash`) each report their real wire key. The
global table is keyed by bare name and would otherwise let a later header
clobber an earlier one, erasing the real key from L1 (a Rule-A blind spot).
A `using`-re-export, by contrast, imports a constant defined elsewhere, so
it is resolved against the global table.
Comments are stripped first (a commented constant must not enter L1), and
each attr block is brace-matched over the whole text so multi-line
`inline constexpr auto NAME = join(\\n ...);` definitions are captured."""
text = strip_comments(read_source(path))
# Local table: the global segments/symbols seed cross-file `join` parts,
# then this header's own definitions overwrite any same-named global entry
# so a locally-defined attr resolves to ITS value, not another header's.
local = dict(symbols)
resolve_constants(text, local)
keys: Set[str] = set()
for block in attr_namespace_spans(text):
for md in CONST_DEF.finditer(block):
# Resolve a locally-defined constant against the LOCAL table; this
# captures makeStr("x") and join(seg::y, ...) with the header's own
# value, immune to cross-header bare-name collisions.
val = local.get(md.group(1))
if val is not None:
keys.add(val)
# `using ::ns::attr::field;` re-exports a constant defined in ANOTHER
# header (e.g. PeerSpanNames imports the base ledgerHash). Resolve the
# imported name against the global table.
for um in USING_DECL.finditer(block):
val = symbols.get(um.group(1))
if val is not None:
keys.add(val)
return keys
# ---------------------------------------------------------------------------
# Reporting
# ---------------------------------------------------------------------------
class Report:
def __init__(self) -> None:
self.violations: List[Tuple[str, str, str, str]] = []
self.warnings: List[Tuple[str, str, str, str]] = []
self.skips: List[str] = []
self.checked: List[str] = []
def violation(self, rule: str, loc: str, token: str, expected: str) -> None:
self.violations.append((rule, loc, token, expected))
def warning(self, rule: str, loc: str, token: str, note: str) -> None:
"""A non-fatal finding: printed, but does not fail the build. Used where
the script cannot be certain a finding is wrong (e.g. a constant used at
a call-site that is not defined in any *SpanNames.h — it might be a
misplaced constant, or a legitimately dynamic value)."""
self.warnings.append((rule, loc, token, note))
def skip(self, rule: str, reason: str) -> None:
self.skips.append(f"SKIP: {rule}{reason}")
def ok(self, msg: str) -> None:
self.checked.append(f"OK: {msg}")
def render_and_exit(self) -> None:
for line in self.skips:
print(line)
for line in self.checked:
print(line)
if self.warnings:
print("\nNaming-convention warnings (non-fatal):\n")
print(f" {'RULE':<5} {'LOCATION':<48} {'TOKEN':<28} NOTE")
print(f" {'-' * 5} {'-' * 48} {'-' * 28} {'-' * 30}")
for rule, loc, token, note in self.warnings:
print(f" {rule:<5} {loc:<48} {token:<28} {note}")
if self.violations:
print("\nNaming-convention violations:\n")
print(f" {'RULE':<5} {'LOCATION':<48} {'TOKEN':<28} EXPECTED")
print(f" {'-' * 5} {'-' * 48} {'-' * 28} {'-' * 30}")
for rule, loc, token, expected in self.violations:
print(f" {rule:<5} {loc:<48} {token:<28} {expected}")
print(
"\nSee CONTRIBUTING.md -> 'Telemetry span attribute naming'. "
"The *SpanNames.h constants are the single source of truth."
)
sys.exit(1)
print("\nAll present telemetry naming layers are consistent.")
sys.exit(0)
def main() -> None:
root = repo_root()
report = Report()
# --- Build the L1 ground-truth key set (presence-gated) ----------------
headers = find_spanname_headers(root)
l1_keys: Set[str] = set()
if headers:
symbols = build_global_symbols(headers)
# Map each key to the header(s) that declare it, so Rule A can tell a
# legitimate resource attr (declared in the base SpanNames.h) from a
# stray dotted key declared in a domain header.
keys_by_header: Dict[Path, Set[str]] = {}
for h in headers:
hk = attr_keys_from_header(h, symbols)
keys_by_header[h] = hk
l1_keys |= hk
report.ok(
f"L1: {len(l1_keys)} attribute keys from {len(headers)} "
f"*SpanNames.h header(s)"
)
else:
report.skip("L1", "no *SpanNames.h present (not a naming-relevant tree)")
keys_by_header = {}
# --- Derive the legitimate dotted (resource) keys dynamically ----------
# ONLY the keys actually passed to Resource::Create() in Telemetry.cpp
# (semconv service.* + the attr:: constants set there, e.g. xrpl.network.*).
# A dotted key declared in a header but NOT set as a resource attr is a
# Rule-A violation, not an allowlist entry.
resource_symbols = symbols if headers else {}
dotted_allow = derive_dotted_resource_keys(root, resource_symbols, report)
# --- Rule A: no stray dotted span-attribute keys -----------------------
if l1_keys:
run_rule_a(keys_by_header, dotted_allow, report)
# --- Rule G: keys must be lower_snake_case -----------------------------
if l1_keys:
run_rule_g(keys_by_header, report)
# --- Rule F (+ Rule H): scan telemetry call-sites ----------------------
# Runs UNCONDITIONALLY: Rule F is a purely syntactic check (is this argument
# a literal?) and does not need the L1 key set, so a code path that uses
# SpanGuard::span/setAttribute directly without ever defining a *SpanNames.h
# is still caught. Rule H (warning) additionally flags constant references
# not defined in any *SpanNames.h.
header_symbols = spanname_symbol_names(headers)
run_rule_f(root, report, header_symbols)
# --- Cross-layer rules B/C/D/E (each presence-gated) -------------------
# L6 native-metric labels: span attributes are not the only valid dashboard
# labels — the MetricsRegistry emits OTel metrics whose label keys are an
# additional source of truth. Derive them dynamically (same principle as L1)
# so dashboards may reference them without tripping Rule D.
metric_labels = metric_label_names(root)
run_rule_b_collector(root, l1_keys, report)
run_rule_c_tempo(root, l1_keys, report)
run_rule_d_dashboards(root, l1_keys, metric_labels, report)
run_rule_e_runbook(root, l1_keys, report)
report.render_and_exit()
def resource_create_block(text: str) -> str:
"""Return the text inside the first `Resource::Create({ ... })` argument
list, brace-matched so nested `{key, value}` initializers are contained.
Empty string if the call is absent."""
m = re.search(r"Resource::Create\(\s*\{", text)
if not m:
return ""
i = m.end() # one char past the opening `{`
depth, start = 1, i
while i < len(text) and depth > 0:
c = text[i]
if c == "{":
depth += 1
elif c == "}":
depth -= 1
i += 1
return text[start : i - 1]
def derive_dotted_resource_keys(
root: Path, symbols: Dict[str, str], report: Report
) -> Set[str]:
"""Legitimate dotted keys = ONLY the keys the code actually sets as RESOURCE
attributes, i.e. the entries inside Telemetry.cpp's `Resource::Create({...})`
call: the standard semconv keys (`service.*`) plus any `attr::<name>`
constants passed there (resolved to their wire key via the global symbol
table, e.g. `attr::networkId` -> `xrpl.network.id`).
A dotted key DECLARED in a `*SpanNames.h` header but NOT passed to
Resource::Create() is a span attribute wearing the resource form — a Rule-A
violation, never allowlisted. Deriving the allowlist from the actual
resource call (not from "any dotted key in the base header") is what lets
Rule A catch a stray dotted span attr such as `xrpl.ledger.hash`."""
allow: Set[str] = set()
tele = root / "src" / "libxrpl" / "telemetry" / "Telemetry.cpp"
if not tele.is_file():
report.skip("resource-derive", "Telemetry.cpp not present")
return allow
block = resource_create_block(read_source(tele))
# semconv::<group>::k<CamelKey> -> the dotted OTel-standard key. The
# CamelKey already embeds the group, e.g. service::kServiceInstanceId
# -> service.instance.id. Split the CamelCase name into dotted lowercase
# segments; if it does not lead with the group, prepend the group.
for m in re.finditer(r"semconv::(\w+)::k(\w+)", block):
group, camel = m.group(1), m.group(2)
segments = camel_to_dotsegments(camel)
if segments and segments[0] == group:
allow.add(".".join(segments))
else:
allow.add(group + "." + ".".join(segments))
# attr::<name> constants set as resource attrs (e.g. networkId/networkType);
# resolve each to its wire key and allowlist only the dotted ones.
for m in re.finditer(r"attr::(\w+)", block):
val = symbols.get(m.group(1))
if val is not None and "." in val:
allow.add(val)
report.ok(f"resource dotted-key allowlist derived: {sorted(allow)}")
return allow
def camel_to_dotsegments(s: str) -> List[str]:
"""Split a CamelCase identifier into lowercase dot-segment parts, e.g.
`ServiceInstanceId` -> ['service', 'instance', 'id']."""
return [w.lower() for w in re.findall(r"[A-Z][a-z0-9]*", s)]
def run_rule_a(
keys_by_header: Dict[Path, Set[str]], dotted_allow: Set[str], report: Report
) -> None:
"""Any dotted attribute key that is not an allowed resource key is a
violation, reported against the header that declares it."""
found = False
for h in sorted(keys_by_header):
for key in sorted(keys_by_header[h]):
if "." in key and key not in dotted_allow:
found = True
report.violation("A", h.name, key, "underscore form, not dotted")
if not found:
report.ok("A: no stray dotted span-attribute keys")
# A lower_snake_case identifier segment: starts lowercase, then lowercase /
# digits / underscores. No uppercase, no spaces, no camelCase.
SNAKE_SEGMENT = re.compile(r"^[a-z][a-z0-9_]*$")
def run_rule_g(keys_by_header: Dict[Path, Set[str]], report: Report) -> None:
"""Every attribute key must be lower_snake_case. Bare/underscore keys must
match ^[a-z][a-z0-9_]*$; dotted resource keys must be lowercase
dot-separated segments (each segment lower_snake_case). Flags camelCase,
UPPERCASE, spaces, and other stray characters."""
found = False
for h in sorted(keys_by_header):
for key in sorted(keys_by_header[h]):
segments = key.split(".")
if all(SNAKE_SEGMENT.match(seg) for seg in segments):
continue
found = True
report.violation("G", h.name, key, "must be lower_snake_case")
if not found:
report.ok("G: all attribute keys are lower_snake_case")
# Which argument positions of each call must be a constant (0-based). The
# attribute VALUE position is intentionally absent: values are runtime data
# (command names, hashes, counts), not naming-convention surface.
# setAttribute(key, value) -> check arg 0 (key); value (arg 1) exempt
# addEvent(name[, attrs]) -> check arg 0 (event name)
# span(category, prefix, name) -> check args 1,2 (prefix + span-name leaf)
# childSpan(name[, parentCtx]) -> check arg 0 (span-name leaf)
CONSTANT_ARG_POSITIONS: Dict[str, Set[int]] = {
"setAttribute": {0},
"addEvent": {0},
"span": {1, 2},
"childSpan": {0},
}
def is_test_path(path: Path) -> bool:
"""True if the path is test code. Tests legitimately pass arbitrary literal
keys/names to exercise the API mechanics, so Rule F does not apply to them.
Matches a `test`/`tests` directory anywhere in the path (e.g. src/test/,
src/tests/, .../detail/tests/)."""
return any(part in ("test", "tests") for part in path.parts)
# A constant reference passed at a call-site, e.g. `rpc_span::attr::command`
# or a bare `myKey`. We capture the leaf identifier (after the last `::`).
IDENTIFIER_ARG = re.compile(r"^[\s&*]*([A-Za-z_][\w:]*)\s*$")
def spanname_symbol_names(headers: List[Path]) -> Set[str]:
"""Every `inline constexpr auto NAME = ...;` symbol defined across the
*SpanNames.h headers, by bare name. Used by Rule H to tell whether a
constant referenced at a call-site actually lives in a SpanNames header."""
names: Set[str] = set()
for h in headers:
for m in CONST_DEF.finditer(strip_comments(read_source(h))):
names.add(m.group(1))
return names
def run_rule_f(root: Path, report: Report, header_symbols: Set[str]) -> None:
"""Walk every telemetry call-site (non-test, non-*SpanNames.h) and check the
constant-only argument positions of setAttribute/addEvent/span/childSpan:
Rule F (FAIL): a string literal in a key / span-name position. Attribute
VALUES are exempt (runtime data).
Rule H (WARN): a constant reference whose name is not defined in any
*SpanNames.h. The constant should live in the corresponding
*SpanNames.h (single source of truth); defining it in-place bypasses
the naming rules. Warn rather than fail — the argument may instead be a
legitimately dynamic local (e.g. a computed span-name leaf)."""
found_f = False
sources = [
p
for base in ("src", "include")
for ext in ("*.h", "*.cpp")
for p in (root / base).rglob(ext)
if p.is_file()
]
for path in sorted(sources):
if path.name.endswith("SpanNames.h") or is_test_path(path):
continue
text = read_source(path)
rel = path.relative_to(root)
for call, arglist, lineno in iter_calls(text):
positions = CONSTANT_ARG_POSITIONS.get(call, set())
args = split_top_level_args(arglist)
for idx in positions:
if idx >= len(args):
continue
arg = args[idx]
lit = STRING_LITERAL.search(arg)
if lit:
found_f = True
report.violation(
"F",
f"{rel}:{lineno}",
f'{call} arg{idx} "{lit.group(1)}"',
"use a *SpanNames.h constant",
)
continue
# Not a literal: Rule H warns when a NAMESPACE-QUALIFIED constant
# reference (e.g. `consensus::span::accept`) is not defined in
# any *SpanNames.h — i.e. the constant was defined in-place
# instead of in the proper header. We only consider qualified
# refs (containing `::`): a bare lowercase identifier is almost
# always a legitimately dynamic local (a computed span-name leaf
# or attribute value), not a misplaced constant, so warning on it
# would be noise. Standard-library types (std::...) are skipped.
ident = IDENTIFIER_ARG.match(arg)
if not (ident and header_symbols):
continue
ref = ident.group(1)
if "::" not in ref or ref.startswith("std::"):
continue
leaf = ref.split("::")[-1]
if leaf not in header_symbols:
report.warning(
"H",
f"{rel}:{lineno}",
f"{call} arg{idx} {ref}",
"not defined in any *SpanNames.h",
)
if not found_f:
report.ok("F: no string-literal keys/names at telemetry call-sites")
def iter_calls(text: str):
"""Yield (call_name, raw_arglist, lineno) for each setAttribute/addEvent/
span/childSpan invocation, spanning multiple physical lines if needed."""
for m in CALLSITE.finditer(text):
name = m.group(1)
# Walk from the opening paren, balancing nesting to find the close.
# Parens inside a "string literal" are ignored so a value such as
# `setAttribute(k, ")")` does not close the call early.
i = m.end() # one char past the '('
depth = 1
in_str = False
escaped = False
while i < len(text) and depth > 0:
c = text[i]
if in_str:
if escaped:
escaped = False
elif c == "\\":
escaped = True
elif c == '"':
in_str = False
elif c == '"':
in_str = True
elif c == "(":
depth += 1
elif c == ")":
depth -= 1
i += 1
arglist = text[m.end() : i - 1]
lineno = text.count("\n", 0, m.start()) + 1
yield name, arglist, lineno
def run_rule_b_collector(root: Path, l1_keys: Set[str], report: Report) -> None:
path = root / "docker" / "telemetry" / "otel-collector-config.yaml"
if not path.is_file():
report.skip("B", "collector config not present")
return
text = read_source(path)
if "spanmetrics" not in text:
report.skip("B", "no spanmetrics block in collector config")
return
dims = extract_spanmetrics_dimensions(text)
if not l1_keys:
report.skip("B", "no L1 key set to validate against")
return
miss = [d for d in dims if d not in l1_keys]
for d in miss:
report.violation("B", str(path.relative_to(root)), d, "must exist in L1")
if not miss:
report.ok(f"B: {len(dims)} collector dimension(s) all in L1")
def extract_spanmetrics_dimensions(text: str) -> List[str]:
dims: List[str] = []
in_dims = False
for line in text.splitlines():
if re.search(r"\bdimensions\s*:", line):
in_dims = True
continue
if in_dims:
m = re.search(r"-\s*name\s*:\s*([A-Za-z0-9_.]+)", line)
if m:
dims.append(m.group(1))
elif line.strip() and not line.lstrip().startswith("-") and ":" in line:
in_dims = False
return dims
def run_rule_c_tempo(root: Path, l1_keys: Set[str], report: Report) -> None:
# The trace-search filter tags live in the Grafana Tempo DATASOURCE
# provisioning file (search.filters[].{tag,scope}); the Tempo server
# tempo.yaml has no such tags. Prefer the datasource file; fall back to the
# server file so the rule still does something if the layout changes.
candidates = [
root / "docker/telemetry/grafana/provisioning/datasources/tempo.yaml",
root / "docker/telemetry/tempo.yaml",
]
path = next((p for p in candidates if p.is_file()), None)
if path is None:
report.skip("C", "tempo datasource provisioning not present")
return
if not l1_keys:
report.skip("C", "no L1 key set to validate against")
return
# Pair each filter's `tag:` with its `scope:` (a few lines below it) and
# validate only span-scope tags — resource/intrinsic tags (service.*, name,
# status, duration) are not span attributes. Strip a TraceQL span. prefix.
lines = read_source(path).splitlines()
span_tags: List[str] = []
for i, line in enumerate(lines):
m = re.search(r"^\s*tag:\s*(\S+)", line)
if not m:
continue
scope = next(
(
sm.group(1)
for j in range(i, min(i + 4, len(lines)))
for sm in [re.search(r"scope:\s*(\S+)", lines[j])]
if sm
),
"",
)
if scope == "span":
span_tags.append(TRACEQL_SCOPE.sub("", m.group(1)))
if not span_tags:
report.skip("C", "no span-scope filter tags in tempo datasource")
return
miss = [t for t in span_tags if t not in l1_keys]
for t in sorted(set(miss)):
report.violation("C", str(path.relative_to(root)), t, "must exist in L1")
if not miss:
report.ok(f"C: {len(span_tags)} tempo span-filter tag(s) all in L1")
def metric_label_names(root: Path) -> Set[str]:
"""L6: OTel native-metric label keys emitted by the telemetry code, e.g.
`counter->Add(1, {{"job_type", value}})` in MetricsRegistry.cpp. These are
a valid source of dashboard labels distinct from span attributes (L1)."""
labels: Set[str] = set()
for base in ("src", "include"):
for p in (root / base).rglob("*.cpp"):
if not p.is_file():
continue
text = read_source(p)
if "MetricsRegistry" not in p.name and "metric" not in text.lower():
continue
labels |= set(METRIC_LABEL.findall(text))
return labels
def run_rule_d_dashboards(
root: Path, l1_keys: Set[str], metric_labels: Set[str], report: Report
) -> None:
dash_dir = root / "docker" / "telemetry" / "grafana" / "dashboards"
files = sorted(dash_dir.glob("*.json")) if dash_dir.is_dir() else []
if not files:
report.skip("D", "no dashboard JSON present")
return
if not l1_keys:
report.skip("D", "no L1 key set to validate against")
return
builtins = {
"__name__", # Prometheus reserved label for the metric name itself
"le",
"exported_instance",
"span_name",
"status_code",
"service_name",
"service_version",
"service_instance_id",
"job",
"instance",
}
# A dashboard label is valid if it is a span attribute (L1), a native-metric
# label (L6), or a Prometheus/Grafana builtin.
valid = l1_keys | metric_labels | builtins
found = False
for f in files:
try:
text = read_source(f)
except OSError:
continue
# PromQL `sum by (a, b)` and `{label="..."}` references.
labels: Set[str] = set()
for m in re.finditer(r"by\s*\(([^)]*)\)", text):
labels |= {x.strip() for x in m.group(1).split(",") if x.strip()}
for m in re.finditer(r"\b([a-z_][a-z0-9_.]*)\s*[=!]~?\s*\"", text):
labels.add(m.group(1))
for lbl in sorted(labels):
# Strip a TraceQL scope prefix (span./resource./...) — the bare
# attribute is what must resolve against L1.
bare = TRACEQL_SCOPE.sub("", lbl)
if bare in valid:
continue
found = True
report.violation(
"D",
str(f.relative_to(root)),
lbl,
"must exist in L1, a metric label, or be a builtin",
)
if not found:
report.ok(f"D: dashboard PromQL labels all resolve ({len(files)} file(s))")
def run_rule_e_runbook(root: Path, l1_keys: Set[str], report: Report) -> None:
path = root / "docs" / "telemetry-runbook.md"
if not path.is_file():
report.skip("E", "runbook not present")
return
if not l1_keys:
report.skip("E", "no L1 key set to validate against")
return
text = read_source(path)
found = False
# Only the dotted `xrpl.<domain>.<field>` attribute form is a violation. The
# `xrpl.`-with-trailing-dot anchor is the discriminator: it matches the old
# dotted attribute convention being migrated away from, while everything
# else legitimately dotted in the runbook does NOT match it —
# * span names (`consensus.round`, `tx.process`) no `xrpl.` prefix
# * filenames (`xrpld.cfg`, `RCLConsensus.cpp`) `xrpld.`/`.cpp`, not `xrpl.`
# * OTel-standard (`service.name`, `http.method`) no `xrpl.` prefix
# * metric labels (`xrpl_rpc_command`) underscore, no dot
# Legitimate dotted resource attrs (`xrpl.network.id`/`.type`) are in L1 and
# are skipped. A dotted `xrpl.` token absent from L1 is a genuine doc/code
# mismatch (e.g. `xrpl.tx.hash` where the code emits `tx_hash`).
for m in re.finditer(r"`(xrpl\.[a-z][a-z0-9_.]*)`", text):
token = m.group(1)
if token in l1_keys: # legitimate dotted resource attr (xrpl.network.*)
continue
found = True
report.violation(
"E", str(path.relative_to(root)), token, "underscore, not dotted"
)
if not found:
report.ok("E: runbook attribute references consistent with L1")
if __name__ == "__main__":
main()

View File

@@ -1,864 +0,0 @@
#!/usr/bin/env python3
"""Unit tests for check_otel_naming.py.
Stdlib-only (unittest), matching the dependency-free policy of the check itself.
Run from anywhere:
python .github/scripts/otel-naming/test_check_otel_naming.py
Each rule is exercised in isolation against a synthetic tree / synthetic L1 key
set, covering positive (must flag), negative (must not flag), and boundary
cases. Rule E (runbook dotted-attribute detection) has the densest coverage
because its discriminator — the `xrpl.<domain>.` prefix vs span names,
filenames, OTel-standard keys, and metric labels — is the subtlest.
"""
import contextlib
import importlib.util
import io
import shutil
import tempfile
import unittest
from pathlib import Path
# Load the check module by path (it is not an importable package).
_spec = importlib.util.spec_from_file_location(
"check_otel_naming", str(Path(__file__).with_name("check_otel_naming.py"))
)
chk = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(chk)
# A controlled L1 set used across tests: the two legitimate dotted resource
# attrs plus a handful of underscore span-attribute keys.
L1 = {
"xrpl.network.id",
"xrpl.network.type",
"tx_hash",
"peer_id",
"consensus_mode",
"command",
"rpc_status",
"ledger_seq",
}
def _run_rule_e(runbook_text: str):
"""Run Rule E against a synthetic runbook; return the flagged tokens."""
d = Path(tempfile.mkdtemp())
try:
(d / "docs").mkdir()
(d / "docs" / "telemetry-runbook.md").write_text(runbook_text)
report = chk.Report()
chk.run_rule_e_runbook(d, set(L1), report)
return sorted(v[2] for v in report.violations)
finally:
shutil.rmtree(d)
class RuleERunbook(unittest.TestCase):
"""Rule E: only dotted `xrpl.<domain>.<field>` attribute keys are flagged."""
# ----- positive: genuine dotted attribute-key violations -----
def test_single_dotted_attr(self):
self.assertEqual(_run_rule_e("`xrpl.tx.hash`"), ["xrpl.tx.hash"])
def test_multiple_dotted_attrs(self):
self.assertEqual(
_run_rule_e("`xrpl.tx.hash` and `xrpl.consensus.mode`"),
["xrpl.consensus.mode", "xrpl.tx.hash"],
)
def test_deep_dotted_three_segments(self):
self.assertEqual(
_run_rule_e("`xrpl.consensus.ledger.seq`"), ["xrpl.consensus.ledger.seq"]
)
def test_dotted_attr_with_underscore_field(self):
self.assertEqual(
_run_rule_e("`xrpl.consensus.round_id`"), ["xrpl.consensus.round_id"]
)
def test_repeated_token_reported_each_occurrence(self):
self.assertEqual(
_run_rule_e("`xrpl.tx.hash` ... `xrpl.tx.hash`"),
["xrpl.tx.hash", "xrpl.tx.hash"],
)
def test_resource_attr_not_in_l1_is_flagged(self):
self.assertEqual(
_run_rule_e("`xrpl.network.unknown`"), ["xrpl.network.unknown"]
)
# ----- negative: legitimately-dotted tokens that must NOT be flagged -----
def test_span_name_single(self):
self.assertEqual(_run_rule_e("`consensus.round`"), [])
def test_span_name_multi_segment(self):
self.assertEqual(
_run_rule_e("`consensus.phase.open` `rpc.command.server_info`"), []
)
def test_filename_cfg(self):
self.assertEqual(_run_rule_e("`xrpld.cfg`"), [])
def test_filename_cpp(self):
self.assertEqual(_run_rule_e("`RCLConsensus.cpp`"), [])
def test_otel_standard_service_name(self):
self.assertEqual(_run_rule_e("`service.name`"), [])
def test_otel_standard_http_method(self):
self.assertEqual(_run_rule_e("`http.method`"), [])
def test_metric_label_underscore(self):
self.assertEqual(_run_rule_e("`xrpl_rpc_command`"), [])
def test_bare_underscore_attrs(self):
self.assertEqual(_run_rule_e("`tx_hash` `consensus_mode`"), [])
def test_legit_dotted_resource_attrs_in_l1(self):
self.assertEqual(_run_rule_e("`xrpl.network.id` `xrpl.network.type`"), [])
def test_prose_word(self):
self.assertEqual(_run_rule_e("the `command` attribute"), [])
def test_plain_prose_no_backticks(self):
self.assertEqual(_run_rule_e("xrpl.tx.hash without backticks is prose"), [])
# ----- boundary -----
def test_empty_runbook(self):
self.assertEqual(_run_rule_e(""), [])
def test_lookalike_prefix_xrpld(self):
# `xrpld.` is NOT `xrpl.` — must not match.
self.assertEqual(_run_rule_e("`xrpld.foo`"), [])
def test_lookalike_prefix_underscore(self):
# `xrpl_rpc.command` starts with `xrpl_`, not `xrpl.`.
self.assertEqual(_run_rule_e("`xrpl_rpc.command`"), [])
def test_uppercase_segment_not_matched(self):
# The pattern requires a lowercase char after `xrpl.`; uppercase keys are
# caught by Rule G at the L1 layer, not by the runbook text scan.
self.assertEqual(_run_rule_e("`xrpl.TX.hash`"), [])
def test_token_touching_table_pipes(self):
self.assertEqual(_run_rule_e("| `xrpl.tx.hash` | desc |"), ["xrpl.tx.hash"])
def test_mixed_line_only_xrpl_dotted_flagged(self):
self.assertEqual(
_run_rule_e("`consensus.round` uses `xrpl.tx.hash` and `service.name`"),
["xrpl.tx.hash"],
)
def test_skips_when_runbook_absent(self):
d = Path(tempfile.mkdtemp())
try:
report = chk.Report()
chk.run_rule_e_runbook(d, set(L1), report)
self.assertEqual(report.violations, [])
self.assertTrue(any("SKIP: E" in s for s in report.skips))
finally:
shutil.rmtree(d)
def test_skips_when_l1_empty(self):
d = Path(tempfile.mkdtemp())
try:
(d / "docs").mkdir()
(d / "docs" / "telemetry-runbook.md").write_text("`xrpl.tx.hash`")
report = chk.Report()
chk.run_rule_e_runbook(d, set(), report)
self.assertEqual(report.violations, [])
self.assertTrue(any("SKIP: E" in s for s in report.skips))
finally:
shutil.rmtree(d)
class DslParser(unittest.TestCase):
"""The makeStr/join/seg:: constexpr DSL resolver — the foundation of the
L1 key set. Covers flat, nested, cross-file, alias, and multi-line forms."""
def test_flat_join(self):
syms = chk.resolve_constants(
'inline constexpr auto a = makeStr("xrpl");\n'
'inline constexpr auto b = makeStr("network");\n'
"inline constexpr auto c = join(a, b);\n"
)
self.assertEqual(syms["c"], "xrpl.network")
def test_nested_join_three_segments(self):
syms = chk.resolve_constants(
'inline constexpr auto xrpl = makeStr("xrpl");\n'
'inline constexpr auto network = makeStr("network");\n'
"inline constexpr auto networkId = "
'join(join(xrpl, network), makeStr("id"));\n'
)
self.assertEqual(syms["networkId"], "xrpl.network.id")
def test_qualified_seg_reference(self):
# `seg::rpc` resolves by its bare leaf `rpc`.
syms = chk.resolve_constants('inline constexpr auto rpc = makeStr("rpc");\n')
syms2 = chk.resolve_constants(
'inline constexpr auto command = join(seg::rpc, makeStr("command"));\n',
syms,
)
self.assertEqual(syms2["command"], "rpc.command")
def test_alias_reference(self):
syms = chk.resolve_constants('inline constexpr auto rpc = makeStr("rpc");\n')
chk.resolve_constants("inline constexpr auto alias = seg::rpc;\n", syms)
self.assertEqual(syms["alias"], "rpc")
def test_unresolvable_expr_omitted(self):
syms = chk.resolve_constants("inline constexpr auto x = join(unknown, y);\n")
self.assertNotIn("x", syms)
def test_split_top_level_args_respects_nesting(self):
self.assertEqual(
chk.split_top_level_args("join(seg::a, b), c"),
["join(seg::a, b)", " c"],
)
def test_split_top_level_args_ignores_comma_in_string(self):
self.assertEqual(
chk.split_top_level_args('key, ","'),
["key", ' ","'],
)
def test_strip_comments_removes_line_and_block(self):
self.assertEqual(
chk.strip_comments("a // line\nb /* blk */ c").split(),
["a", "b", "c"],
)
def _write(path: Path, text: str) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(text)
def _header(ns_attr_body: str, prefix_seg: str = "") -> str:
"""A minimal *SpanNames.h body: optional seg defs + a namespace attr block."""
return (
"#pragma once\n"
+ prefix_seg
+ "namespace xrpl::telemetry::demo::span {\n"
+ "namespace attr {\n"
+ ns_attr_body
+ "} // namespace attr\n"
+ "}\n"
)
class AttrKeyExtraction(unittest.TestCase):
"""attr_keys_from_header: comment-stripping + multi-line + using re-export."""
def _l1(self, header_text):
d = Path(tempfile.mkdtemp())
try:
h = d / "src" / "DemoSpanNames.h"
_write(h, header_text)
syms = chk.build_global_symbols([h])
return chk.attr_keys_from_header(h, syms)
finally:
shutil.rmtree(d)
def test_single_line_makestr(self):
keys = self._l1(_header('inline constexpr auto k = makeStr("tx_hash");\n'))
self.assertIn("tx_hash", keys)
def test_multiline_constexpr_captured(self):
keys = self._l1(
_header("inline constexpr auto k =\n" ' makeStr("round_time_ms");\n')
)
self.assertIn("round_time_ms", keys)
def test_commented_makestr_not_leaked(self):
keys = self._l1(
_header(
'inline constexpr auto k = makeStr("good");\n'
'// inline constexpr auto bad = makeStr("old.dotted");\n'
)
)
self.assertIn("good", keys)
self.assertNotIn("old.dotted", keys)
def test_block_commented_makestr_not_leaked(self):
keys = self._l1(
_header(
'inline constexpr auto k = makeStr("good");\n'
'/* makeStr("blockbad") */\n'
)
)
self.assertNotIn("blockbad", keys)
class CamelToDotSegments(unittest.TestCase):
"""semconv CamelCase -> dotted OTel-standard key derivation."""
def test_service_instance_id(self):
self.assertEqual(
chk.camel_to_dotsegments("ServiceInstanceId"),
["service", "instance", "id"],
)
def test_service_name(self):
self.assertEqual(chk.camel_to_dotsegments("ServiceName"), ["service", "name"])
def test_derive_keys_from_telemetry_cpp(self):
d = Path(tempfile.mkdtemp())
try:
tele = d / "src" / "libxrpl" / "telemetry" / "Telemetry.cpp"
_write(
tele,
"resource::Resource::Create({\n"
" {semconv::service::kServiceName, x},\n"
" {semconv::service::kServiceInstanceId, y},\n"
"});\n",
)
report = chk.Report()
allow = chk.derive_dotted_resource_keys(d, {}, report)
self.assertIn("service.name", allow)
self.assertIn("service.instance.id", allow)
finally:
shutil.rmtree(d)
class SymbolCollision(unittest.TestCase):
"""attr_keys_from_header must resolve a constant against ITS OWN header, so
two headers defining a same-named constant each report their real wire key.
Regression for the flat-symbol-table collision that let a later header
clobber an earlier one and erased a dotted key from L1 (a Rule-A blind
spot)."""
def _build(self, files):
d = Path(tempfile.mkdtemp())
paths = {}
for rel, text in files.items():
p = d / rel
_write(p, text)
paths[rel] = p
return d, paths
def test_same_named_const_not_clobbered_across_headers(self):
base = (
"#pragma once\n"
"namespace xrpl::telemetry {\n"
'namespace seg { inline constexpr auto xrpl = makeStr("xrpl");\n'
'inline constexpr auto ledger = makeStr("ledger"); }\n'
"namespace attr {\n"
"inline constexpr auto ledgerHash = "
'join(join(seg::xrpl, seg::ledger), makeStr("hash"));\n'
"}\n}\n"
)
cons = (
"#pragma once\n"
"namespace xrpl::telemetry::consensus::span {\n"
"namespace attr { inline constexpr auto ledgerHash = "
'makeStr("ledger_hash"); }\n}\n'
)
d, paths = self._build(
{
"include/xrpl/telemetry/SpanNames.h": base,
"src/xrpld/consensus/ConsensusSpanNames.h": cons,
}
)
try:
headers = chk.find_spanname_headers(d)
syms = chk.build_global_symbols(headers)
by_name = {p.name: chk.attr_keys_from_header(p, syms) for p in headers}
# The base header keeps its dotted key; consensus keeps the bare one.
self.assertIn("xrpl.ledger.hash", by_name["SpanNames.h"])
self.assertEqual(by_name["ConsensusSpanNames.h"], {"ledger_hash"})
finally:
shutil.rmtree(d)
def test_using_reexport_still_resolves_globally(self):
# A `using`-re-export imports a constant defined elsewhere; it must
# resolve against the global table, not the local header.
base = (
"#pragma once\n"
"namespace xrpl::telemetry {\n"
"namespace attr { inline constexpr auto txHash = "
'makeStr("tx_hash"); }\n}\n'
)
dom = (
"#pragma once\n"
"namespace xrpl::telemetry::tx::span {\n"
"namespace attr { using ::xrpl::telemetry::attr::txHash; }\n}\n"
)
d, paths = self._build(
{
"include/xrpl/telemetry/SpanNames.h": base,
"src/xrpld/app/misc/TxSpanNames.h": dom,
}
)
try:
headers = chk.find_spanname_headers(d)
syms = chk.build_global_symbols(headers)
keys = chk.attr_keys_from_header(
paths["src/xrpld/app/misc/TxSpanNames.h"], syms
)
self.assertEqual(keys, {"tx_hash"})
finally:
shutil.rmtree(d)
class ResourceAllowlistScope(unittest.TestCase):
"""derive_dotted_resource_keys must allowlist ONLY the dotted keys actually
passed to Resource::Create() — not every dotted key in the base header. A
dotted attr declared in a header but not set as a resource attr is a Rule-A
violation."""
def _derive(self, tele_text, span_text):
d = Path(tempfile.mkdtemp())
try:
_write(d / "src" / "libxrpl" / "telemetry" / "Telemetry.cpp", tele_text)
_write(d / "include" / "xrpl" / "telemetry" / "SpanNames.h", span_text)
headers = chk.find_spanname_headers(d)
syms = chk.build_global_symbols(headers)
allow = chk.derive_dotted_resource_keys(d, syms, chk.Report())
return allow, syms, headers, d
except Exception:
shutil.rmtree(d)
raise
def test_dotted_span_attr_not_allowlisted_and_flagged(self):
span = (
"#pragma once\n"
"namespace xrpl::telemetry {\n"
'namespace seg { inline constexpr auto xrpl = makeStr("xrpl");\n'
'inline constexpr auto ledger = makeStr("ledger");\n'
'inline constexpr auto network = makeStr("network"); }\n'
"namespace attr {\n"
"inline constexpr auto networkId = "
'join(join(seg::xrpl, seg::network), makeStr("id"));\n'
"inline constexpr auto ledgerHash = "
'join(join(seg::xrpl, seg::ledger), makeStr("hash"));\n'
"}\n}\n"
)
tele = (
"auto r = resource::Resource::Create({\n"
" {semconv::service::kServiceName, x},\n"
" {std::string(attr::networkId), n},\n"
"});\n"
)
allow, syms, headers, d = self._derive(tele, span)
try:
# networkId IS a resource attr; ledgerHash is NOT, despite living in
# the base header.
self.assertIn("xrpl.network.id", allow)
self.assertNotIn("xrpl.ledger.hash", allow)
kbh = {h: chk.attr_keys_from_header(h, syms) for h in headers}
report = chk.Report()
chk.run_rule_a(kbh, allow, report)
self.assertEqual([v[2] for v in report.violations], ["xrpl.ledger.hash"])
finally:
shutil.rmtree(d)
def test_resource_block_brace_matched(self):
# A nested {key,value} initializer must not truncate the block scan.
tele = (
"auto r = resource::Resource::Create({\n"
" {semconv::service::kServiceName, x},\n"
" {std::string(attr::networkType), t},\n"
"});\n"
)
span = (
"#pragma once\n"
"namespace xrpl::telemetry {\n"
'namespace seg { inline constexpr auto xrpl = makeStr("xrpl");\n'
'inline constexpr auto network = makeStr("network"); }\n'
"namespace attr { inline constexpr auto networkType = "
'join(join(seg::xrpl, seg::network), makeStr("type")); }\n}\n'
)
allow, _syms, _headers, d = self._derive(tele, span)
try:
self.assertIn("xrpl.network.type", allow)
self.assertIn("service.name", allow)
finally:
shutil.rmtree(d)
def _run_rule_a(keys_by_header, allow):
report = chk.Report()
chk.run_rule_a(keys_by_header, allow, report)
return sorted(v[2] for v in report.violations)
class RuleADotted(unittest.TestCase):
def test_dotted_attr_not_in_allow_flagged(self):
kbh = {Path("src/RpcSpanNames.h"): {"xrpl.tx.hash", "command"}}
self.assertEqual(_run_rule_a(kbh, {"xrpl.network.id"}), ["xrpl.tx.hash"])
def test_resource_attr_in_allow_passes(self):
kbh = {Path("src/SpanNames.h"): {"xrpl.network.id"}}
self.assertEqual(_run_rule_a(kbh, {"xrpl.network.id"}), [])
def test_bare_key_never_flagged(self):
kbh = {Path("src/TxSpanNames.h"): {"tx_hash", "command"}}
self.assertEqual(_run_rule_a(kbh, set()), [])
def _run_rule_g(keys_by_header):
report = chk.Report()
chk.run_rule_g(keys_by_header, report)
return sorted(v[2] for v in report.violations)
class RuleGSnakeCase(unittest.TestCase):
def test_camelcase_flagged(self):
self.assertEqual(_run_rule_g({Path("h"): {"txHash"}}), ["txHash"])
def test_uppercase_flagged(self):
self.assertEqual(_run_rule_g({Path("h"): {"TX_HASH"}}), ["TX_HASH"])
def test_space_flagged(self):
self.assertEqual(_run_rule_g({Path("h"): {"bad key"}}), ["bad key"])
def test_snake_case_passes(self):
self.assertEqual(_run_rule_g({Path("h"): {"tx_hash", "rpc_status"}}), [])
def test_dotted_resource_segments_pass(self):
self.assertEqual(_run_rule_g({Path("h"): {"xrpl.network.id"}}), [])
def test_dotted_with_bad_segment_flagged(self):
self.assertEqual(
_run_rule_g({Path("h"): {"xrpl.Network.id"}}), ["xrpl.Network.id"]
)
class RuleFAndH(unittest.TestCase):
"""run_rule_f: literal keys/span-names flagged; values & tests exempt.
Rule H: qualified constant not in any header warns (non-fatal)."""
def _run(self, rel_path, source, header_symbols=frozenset()):
d = Path(tempfile.mkdtemp())
try:
_write(d / rel_path, source)
report = chk.Report()
chk.run_rule_f(d, report, set(header_symbols))
return (
sorted(v[2] for v in report.violations),
sorted(w[2] for w in report.warnings),
)
finally:
shutil.rmtree(d)
def test_literal_key_flagged(self):
v, _ = self._run("src/Foo.cpp", 'g.setAttribute("lit_key", v);\n')
self.assertEqual(v, ['setAttribute arg0 "lit_key"'])
def test_literal_value_exempt(self):
v, _ = self._run("src/Foo.cpp", 'g.setAttribute(attr::command, "submit");\n')
self.assertEqual(v, [])
def test_span_name_args_flagged(self):
v, _ = self._run("src/Foo.cpp", 'SpanGuard::span(cat, "rpc", "command");\n')
self.assertEqual(v, ['span arg1 "rpc"', 'span arg2 "command"'])
def test_test_path_exempt(self):
v, _ = self._run("src/test/Foo.cpp", 'g.setAttribute("lit_key", v);\n')
self.assertEqual(v, [])
def test_spannames_header_exempt(self):
v, _ = self._run("src/DemoSpanNames.h", 'g.setAttribute("lit_key", v);\n')
self.assertEqual(v, [])
def test_bare_span_call_not_matched(self):
# No SpanGuard/./-> receiver -> not a telemetry call-site.
v, _ = self._run("src/Foo.cpp", 'auto s = span("not", "telemetry");\n')
self.assertEqual(v, [])
def test_multiline_call_reports_first_line(self):
v, _ = self._run("src/Foo.cpp", 'g.setAttribute(\n "k",\n v);\n')
self.assertEqual(v, ['setAttribute arg0 "k"'])
def test_paren_in_string_value_does_not_break_parsing(self):
# The ")" inside the value must not end the call early; key still seen.
v, _ = self._run("src/Foo.cpp", 'g.setAttribute("k", ")");\n')
self.assertEqual(v, ['setAttribute arg0 "k"'])
def test_rule_h_qualified_constant_warns(self):
v, w = self._run(
"src/Foo.cpp",
"g.setAttribute(consensus::span::accept, v);\n",
header_symbols={"command"},
)
self.assertEqual(v, [])
self.assertEqual(w, ["setAttribute arg0 consensus::span::accept"])
def test_rule_h_known_constant_no_warning(self):
_, w = self._run(
"src/Foo.cpp",
"g.setAttribute(rpc_span::attr::command, v);\n",
header_symbols={"command"},
)
self.assertEqual(w, [])
def test_rule_h_bare_local_no_warning(self):
_, w = self._run(
"src/Foo.cpp", "g.setAttribute(myLeaf, v);\n", header_symbols={"command"}
)
self.assertEqual(w, [])
class RuleBCollector(unittest.TestCase):
def _run(self, yaml_text, l1):
d = Path(tempfile.mkdtemp())
try:
_write(d / "docker" / "telemetry" / "otel-collector-config.yaml", yaml_text)
report = chk.Report()
chk.run_rule_b_collector(d, set(l1), report)
return sorted(v[2] for v in report.violations), report.skips
finally:
shutil.rmtree(d)
def test_dimension_not_in_l1_flagged(self):
y = "spanmetrics:\n dimensions:\n - name: bogus_dim\n - name: command\n"
v, _ = self._run(y, {"command"})
self.assertEqual(v, ["bogus_dim"])
def test_all_dimensions_in_l1_pass(self):
y = "spanmetrics:\n dimensions:\n - name: command\n - name: rpc_status\n"
v, _ = self._run(y, {"command", "rpc_status"})
self.assertEqual(v, [])
def test_skip_when_no_spanmetrics_block(self):
v, skips = self._run("receivers:\n otlp:\n", {"command"})
self.assertEqual(v, [])
self.assertTrue(any("SKIP: B" in s for s in skips))
class RuleCTempo(unittest.TestCase):
"""Rule C reads the Grafana Tempo DATASOURCE file's search.filters and
validates only span-scope tags against L1."""
DS = "docker/telemetry/grafana/provisioning/datasources/tempo.yaml"
def _run(self, yaml_text, l1):
d = Path(tempfile.mkdtemp())
try:
_write(d / self.DS, yaml_text)
report = chk.Report()
chk.run_rule_c_tempo(d, set(l1), report)
return sorted(v[2] for v in report.violations), report.skips
finally:
shutil.rmtree(d)
def _filter(self, fid, tag, scope):
return (
f" - id: {fid}\n"
f" tag: {tag}\n"
f' operator: "="\n'
f" scope: {scope}\n"
f" type: static\n"
)
def test_span_tag_not_in_l1_flagged(self):
y = "search:\n filters:\n" + self._filter("f1", "bogus_tag", "span")
v, _ = self._run(y, {"command"})
self.assertEqual(v, ["bogus_tag"])
def test_span_tags_in_l1_pass(self):
y = (
"search:\n filters:\n"
+ self._filter("f1", "command", "span")
+ self._filter("f2", "tx_hash", "span")
)
v, _ = self._run(y, {"command", "tx_hash"})
self.assertEqual(v, [])
def test_resource_and_intrinsic_tags_ignored(self):
# service.* (resource) and name/status/duration (intrinsic) are not
# span attributes — they must not be validated against L1.
y = (
"search:\n filters:\n"
+ self._filter("f1", "service.instance.id", "resource")
+ self._filter("f2", "name", "intrinsic")
+ self._filter("f3", "duration", "intrinsic")
)
v, skips = self._run(y, {"command"})
self.assertEqual(v, [])
self.assertTrue(any("SKIP: C" in s for s in skips))
def test_skip_when_datasource_absent(self):
d = Path(tempfile.mkdtemp())
try:
report = chk.Report()
chk.run_rule_c_tempo(d, {"command"}, report)
self.assertEqual(report.violations, [])
self.assertTrue(any("SKIP: C" in s for s in report.skips))
finally:
shutil.rmtree(d)
class RuleDDashboards(unittest.TestCase):
def _run(self, json_text, l1, metric_labels=frozenset()):
d = Path(tempfile.mkdtemp())
try:
_write(
d / "docker" / "telemetry" / "grafana" / "dashboards" / "x.json",
json_text,
)
report = chk.Report()
chk.run_rule_d_dashboards(d, set(l1), set(metric_labels), report)
return sorted(v[2] for v in report.violations)
finally:
shutil.rmtree(d)
def test_unknown_promql_label_flagged(self):
self.assertEqual(
self._run('"expr": "sum by (bogus_label) (x)"', {"command"}),
["bogus_label"],
)
def test_builtin_labels_not_flagged(self):
self.assertEqual(
self._run('"expr": "sum by (le, span_name, exported_instance) (x)"', set()),
[],
)
def test_prometheus_name_label_not_flagged(self):
# `__name__` is the Prometheus reserved metric-name label; the renamed
# system-*.json dashboards use `sum by (le, __name__)`.
self.assertEqual(
self._run('"expr": "sum by (le, __name__) (rate(x[5m]))"', set()),
[],
)
def test_l1_label_passes(self):
self.assertEqual(self._run('"q": "{command=\\"x\\"}"', {"command"}), [])
def test_traceql_span_prefix_stripped(self):
# `span.establish_count` must validate against the bare L1 key.
self.assertEqual(
self._run(
'"expr": "count_over_time(x) by (span.establish_count)"',
{"establish_count"},
),
[],
)
def test_traceql_resource_prefix_stripped(self):
self.assertEqual(self._run('"q": "{resource.service_name=\\"x\\"}"', set()), [])
def test_native_metric_label_passes(self):
# `job_type` / `reason` are emitted by MetricsRegistry, not span attrs.
self.assertEqual(
self._run(
'"expr": "sum by (job_type, reason) (x)"',
{"command"},
metric_labels={"job_type", "reason"},
),
[],
)
def test_unknown_label_still_flagged_with_metric_labels(self):
# A label that is neither L1, metric label, nor builtin still fails.
self.assertEqual(
self._run(
'"expr": "sum by (bogus) (x)"',
{"command"},
metric_labels={"job_type"},
),
["bogus"],
)
def test_span_prefixed_unknown_still_flagged(self):
# `span.not_a_key` whose bare form is unknown is still a violation.
self.assertEqual(
self._run('"expr": "x by (span.not_a_key)"', {"command"}),
["span.not_a_key"],
)
class MetricLabelExtraction(unittest.TestCase):
"""L6: native-metric label keys parsed from C++ instrument calls."""
def test_extracts_add_label(self):
d = Path(tempfile.mkdtemp())
try:
_write(
d / "src" / "xrpld" / "telemetry" / "MetricsRegistry.cpp",
'counter->Add(1, {{"job_type", std::string(jobType)}});\n'
'c2->Add(1, {{"reason", std::string(r)}});\n',
)
self.assertEqual(chk.metric_label_names(d), {"job_type", "reason"})
finally:
shutil.rmtree(d)
def test_no_metrics_file_empty(self):
d = Path(tempfile.mkdtemp())
try:
(d / "src").mkdir()
self.assertEqual(chk.metric_label_names(d), set())
finally:
shutil.rmtree(d)
class ReportExitContract(unittest.TestCase):
@staticmethod
def _exit_code(report):
"""Call render_and_exit (which prints + raises SystemExit), swallowing
its stdout, and return the exit code."""
with contextlib.redirect_stdout(io.StringIO()):
try:
report.render_and_exit()
except SystemExit as e:
return e.code
return None # pragma: no cover - render_and_exit always exits
def test_violation_exits_nonzero(self):
r = chk.Report()
r.violation("A", "f", "tok", "exp")
self.assertEqual(self._exit_code(r), 1)
def test_clean_exits_zero(self):
r = chk.Report()
r.ok("all good")
self.assertEqual(self._exit_code(r), 0)
def test_warning_only_exits_zero(self):
r = chk.Report()
r.warning("H", "f", "tok", "note")
self.assertEqual(self._exit_code(r), 0)
class RuleEReportTuple(unittest.TestCase):
"""Assert Rule E records the full (rule, expected) tuple, not just token."""
def test_violation_tuple_fields(self):
d = Path(tempfile.mkdtemp())
try:
(d / "docs").mkdir()
(d / "docs" / "telemetry-runbook.md").write_text("`xrpl.tx.hash`")
report = chk.Report()
chk.run_rule_e_runbook(d, {"xrpl.network.id"}, report)
self.assertEqual(len(report.violations), 1)
rule, _loc, token, expected = report.violations[0]
self.assertEqual(rule, "E")
self.assertEqual(token, "xrpl.tx.hash")
self.assertEqual(expected, "underscore, not dotted")
finally:
shutil.rmtree(d)
def test_clean_runbook_records_ok(self):
d = Path(tempfile.mkdtemp())
try:
(d / "docs").mkdir()
(d / "docs" / "telemetry-runbook.md").write_text(
"`tx_hash` `consensus.round`"
)
report = chk.Report()
chk.run_rule_e_runbook(d, {"tx_hash"}, report)
self.assertEqual(report.violations, [])
self.assertTrue(any("E:" in c for c in report.checked))
finally:
shutil.rmtree(d)
if __name__ == "__main__":
unittest.main(verbosity=2)

View File

@@ -34,8 +34,6 @@ run from the repository root.
6. `.github/scripts/rename/config.sh`: This script will rename the config from
`rippled.cfg` to `xrpld.cfg`, and updating the code accordingly. The old
filename will still be accepted.
7. `.github/scripts/rename/docs.sh`: This script will rename any lingering
references of `ripple(d)` to `xrpl(d)` in code, comments, and documentation.
You can run all these scripts from the repository root as follows:
@@ -46,5 +44,4 @@ You can run all these scripts from the repository root as follows:
./.github/scripts/rename/binary.sh .
./.github/scripts/rename/namespace.sh .
./.github/scripts/rename/config.sh .
./.github/scripts/rename/docs.sh .
```

View File

@@ -6,11 +6,11 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
fi
# This script changes the binary name from `rippled` to `xrpld`, and reverses
@@ -29,7 +29,7 @@ if [ ! -d "${DIRECTORY}" ]; then
echo "Error: Directory '${DIRECTORY}' does not exist."
exit 1
fi
pushd "${DIRECTORY}"
pushd ${DIRECTORY}
# Remove the binary name override added by the cmake.sh script.
${SED_COMMAND} -z -i -E 's@\s+# For the time being.+"rippled"\)@@' cmake/XrplCore.cmake
@@ -49,7 +49,6 @@ ${SED_COMMAND} -i -E 's@ripple/xrpld@XRPLF/rippled@g' BUILD.md
${SED_COMMAND} -i -E 's@XRPLF/xrpld@XRPLF/rippled@g' BUILD.md
${SED_COMMAND} -i -E 's@xrpld \(`xrpld`\)@xrpld@g' BUILD.md
${SED_COMMAND} -i -E 's@XRPLF/xrpld@XRPLF/rippled@g' CONTRIBUTING.md
${SED_COMMAND} -i -E 's@XRPLF/xrpld@XRPLF/rippled@g' docs/build/install.md
popd
echo "Processing complete."

View File

@@ -8,16 +8,16 @@ set -e
SED_COMMAND=sed
HEAD_COMMAND=head
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v ghead &>/dev/null; then
echo "Error: ghead is not installed. Please install it using 'brew install coreutils'."
exit 1
fi
HEAD_COMMAND=ghead
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v ghead &> /dev/null; then
echo "Error: ghead is not installed. Please install it using 'brew install coreutils'."
exit 1
fi
HEAD_COMMAND=ghead
fi
# This script renames CMake files from `RippleXXX.cmake` or `RippledXXX.cmake`
@@ -38,13 +38,16 @@ if [ ! -d "${DIRECTORY}" ]; then
echo "Error: Directory '${DIRECTORY}' does not exist."
exit 1
fi
pushd "${DIRECTORY}"
pushd ${DIRECTORY}
# Rename the files.
find cmake -type f -name 'Rippled*.cmake' -exec bash -c 'mv "${1}" "${1/Rippled/Xrpl}"' - {} \;
find cmake -type f -name 'Ripple*.cmake' -exec bash -c 'mv "${1}" "${1/Ripple/Xrpl}"' - {} \;
if [ -e cmake/xrpl_add_test.cmake ]; then
mv cmake/xrpl_add_test.cmake cmake/XrplAddTest.cmake
fi
if [ -e include/xrpl/proto/ripple.proto ]; then
mv include/xrpl/proto/ripple.proto include/xrpl/proto/xrpl.proto
mv include/xrpl/proto/ripple.proto include/xrpl/proto/xrpl.proto
fi
# Rename inside the files.
@@ -57,6 +60,7 @@ find cmake -type f -name '*.cmake' | while read -r FILE; do
done
${SED_COMMAND} -i -E 's/Rippled?/Xrpl/g' CMakeLists.txt
${SED_COMMAND} -i 's/ripple/xrpl/g' CMakeLists.txt
${SED_COMMAND} -i 's/include(xrpl_add_test)/include(XrplAddTest)/' src/tests/libxrpl/CMakeLists.txt
${SED_COMMAND} -i 's/ripple.pb.h/xrpl.pb.h/' include/xrpl/protocol/messages.h
${SED_COMMAND} -i 's/ripple.pb.h/xrpl.pb.h/' BUILD.md
${SED_COMMAND} -i 's/ripple.pb.h/xrpl.pb.h/' BUILD.md
@@ -67,14 +71,14 @@ ${SED_COMMAND} -i 's@xrpl/validator-keys-tool@ripple/validator-keys-tool@' cmake
# Ensure the name of the binary and config remain 'rippled' for now.
${SED_COMMAND} -i -E 's/xrpld(-example)?\.cfg/rippled\1.cfg/g' cmake/XrplInstall.cmake
if grep -q '"xrpld"' cmake/XrplCore.cmake; then
# The script has been rerun, so just restore the name of the binary.
${SED_COMMAND} -i 's/"xrpld"/"rippled"/' cmake/XrplCore.cmake
# The script has been rerun, so just restore the name of the binary.
${SED_COMMAND} -i 's/"xrpld"/"rippled"/' cmake/XrplCore.cmake
elif ! grep -q '"rippled"' cmake/XrplCore.cmake; then
${HEAD_COMMAND} -n -1 cmake/XrplCore.cmake >cmake.tmp
echo ' # For the time being, we will keep the name of the binary as it was.' >>cmake.tmp
echo ' set_target_properties(xrpld PROPERTIES OUTPUT_NAME "rippled")' >>cmake.tmp
tail -1 cmake/XrplCore.cmake >>cmake.tmp
mv cmake.tmp cmake/XrplCore.cmake
${HEAD_COMMAND} -n -1 cmake/XrplCore.cmake > cmake.tmp
echo ' # For the time being, we will keep the name of the binary as it was.' >> cmake.tmp
echo ' set_target_properties(xrpld PROPERTIES OUTPUT_NAME "rippled")' >> cmake.tmp
tail -1 cmake/XrplCore.cmake >> cmake.tmp
mv cmake.tmp cmake/XrplCore.cmake
fi
# Restore the symlink from 'xrpld' to 'rippled'.

View File

@@ -6,11 +6,11 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
fi
# This script renames the config from `rippled.cfg` to `xrpld.cfg`, and updates
@@ -28,41 +28,42 @@ if [ ! -d "${DIRECTORY}" ]; then
echo "Error: Directory '${DIRECTORY}' does not exist."
exit 1
fi
pushd "${DIRECTORY}"
pushd ${DIRECTORY}
# Add the xrpld.cfg to the .gitignore.
if ! grep -q 'xrpld.cfg' .gitignore; then
${SED_COMMAND} -i '/rippled.cfg/a\
${SED_COMMAND} -i '/rippled.cfg/a\
/xrpld.cfg' .gitignore
fi
# Rename the files.
if [ -e rippled.cfg ]; then
mv rippled.cfg xrpld.cfg
mv rippled.cfg xrpld.cfg
fi
if [ -e cfg/rippled-example.cfg ]; then
mv cfg/rippled-example.cfg cfg/xrpld-example.cfg
mv cfg/rippled-example.cfg cfg/xrpld-example.cfg
fi
# Rename inside the files.
DIRECTORIES=("cfg" "cmake" "include" "src")
for DIRECTORY in "${DIRECTORIES[@]}"; do
echo "Processing directory: ${DIRECTORY}"
echo "Processing directory: ${DIRECTORY}"
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" -o -name "*.cmake" -o -name "*.txt" -o -name "*.cfg" -o -name "*.md" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
${SED_COMMAND} -i -E 's/rippled(-example)?[ .]cfg/xrpld\1.cfg/g' "${FILE}"
${SED_COMMAND} -i 's/rippleConfig/xrpldConfig/g' "${FILE}"
done
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" -o -name "*.cmake" -o -name "*.txt" -o -name "*.cfg" -o -name "*.md" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
${SED_COMMAND} -i -E 's/rippled(-example)?[ .]cfg/xrpld\1.cfg/g' "${FILE}"
done
done
${SED_COMMAND} -i 's/rippled/xrpld/g' cfg/xrpld-example.cfg
${SED_COMMAND} -i 's/rippled/xrpld/g' src/test/core/Config_test.cpp
${SED_COMMAND} -i 's/ripplevalidators/xrplvalidators/g' src/test/core/Config_test.cpp # cspell: disable-line
${SED_COMMAND} -i 's/rippleConfig/xrpldConfig/g' src/test/core/Config_test.cpp
${SED_COMMAND} -i 's@ripple/@xrpld/@g' src/test/core/Config_test.cpp
${SED_COMMAND} -i 's/Rippled/File/g' src/test/core/Config_test.cpp
# Restore the old config file name in the code that maintains support for now.
${SED_COMMAND} -i 's/kConfigLegacyName = "xrpld.cfg"/kConfigLegacyName = "rippled.cfg"/g' src/xrpld/core/detail/Config.cpp
${SED_COMMAND} -i 's/configLegacyName = "xrpld.cfg"/configLegacyName = "rippled.cfg"/g' src/xrpld/core/detail/Config.cpp
# Restore an URL.
${SED_COMMAND} -i 's/connect-your-xrpld-to-the-xrp-test-net.html/connect-your-rippled-to-the-xrp-test-net.html/g' cfg/xrpld-example.cfg

View File

@@ -6,11 +6,11 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
fi
# This script removes superfluous copyright notices in source and header files
@@ -31,7 +31,7 @@ if [ ! -d "${DIRECTORY}" ]; then
echo "Error: Directory '${DIRECTORY}' does not exist."
exit 1
fi
pushd "${DIRECTORY}"
pushd ${DIRECTORY}
# Prevent sed and echo from removing newlines and tabs in string literals by
# temporarily replacing them with placeholders. This only affects one file.
@@ -43,56 +43,56 @@ ${SED_COMMAND} -i -E "s@\\\t@${PLACEHOLDER_TAB}@g" src/test/rpc/ValidatorInfo_te
# Process the include/ and src/ directories.
DIRECTORIES=("include" "src")
for DIRECTORY in "${DIRECTORIES[@]}"; do
echo "Processing directory: ${DIRECTORY}"
echo "Processing directory: ${DIRECTORY}"
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" -o -name "*.macro" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
# Handle the cases where the copyright notice is enclosed in /* ... */
# and usually surrounded by //---- and //======.
${SED_COMMAND} -z -i -E 's@^//-------+\n+@@' "${FILE}"
${SED_COMMAND} -z -i -E 's@^.*Copyright.+(Ripple|Bougalis|Falco|Hinnant|Null|Ritchford|XRPLF).+PERFORMANCE OF THIS SOFTWARE\.\n\*/\n+@@' "${FILE}" # cspell: ignore Bougalis Falco Hinnant Ritchford
${SED_COMMAND} -z -i -E 's@^//=======+\n+@@' "${FILE}"
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" -o -name "*.macro" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
# Handle the cases where the copyright notice is enclosed in /* ... */
# and usually surrounded by //---- and //======.
${SED_COMMAND} -z -i -E 's@^//-------+\n+@@' "${FILE}"
${SED_COMMAND} -z -i -E 's@^.*Copyright.+(Ripple|Bougalis|Falco|Hinnant|Null|Ritchford|XRPLF).+PERFORMANCE OF THIS SOFTWARE\.\n\*/\n+@@' "${FILE}" # cspell: ignore Bougalis Falco Hinnant Ritchford
${SED_COMMAND} -z -i -E 's@^//=======+\n+@@' "${FILE}"
# Handle the cases where the copyright notice is commented out with //.
${SED_COMMAND} -z -i -E 's@^//\n// Copyright.+Falco \(vinnie dot falco at gmail dot com\)\n//\n+@@' "${FILE}" # cspell: ignore Vinnie Falco
done
# Handle the cases where the copyright notice is commented out with //.
${SED_COMMAND} -z -i -E 's@^//\n// Copyright.+Falco \(vinnie dot falco at gmail dot com\)\n//\n+@@' "${FILE}" # cspell: ignore Vinnie Falco
done
done
# Restore copyright notices that were removed from specific files, without
# restoring the verbiage that is already present in LICENSE.md. Ensure that if
# the script is run multiple times, duplicate notices are not added.
if ! grep -q 'Raw Material Software' include/xrpl/beast/core/CurrentThreadName.h; then
echo -e "// Portions of this file are from JUCE (http://www.juce.com).\n// Copyright (c) 2013 - Raw Material Software Ltd.\n// Please visit http://www.juce.com\n\n$(cat include/xrpl/beast/core/CurrentThreadName.h)" >include/xrpl/beast/core/CurrentThreadName.h
echo -e "// Portions of this file are from JUCE (http://www.juce.com).\n// Copyright (c) 2013 - Raw Material Software Ltd.\n// Please visit http://www.juce.com\n\n$(cat include/xrpl/beast/core/CurrentThreadName.h)" > include/xrpl/beast/core/CurrentThreadName.h
fi
if ! grep -q 'Dev Null' src/test/app/NetworkID_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/NetworkID_test.cpp)" >src/test/app/NetworkID_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/NetworkID_test.cpp)" > src/test/app/NetworkID_test.cpp
fi
if ! grep -q 'Dev Null' src/test/app/tx/apply_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/tx/apply_test.cpp)" >src/test/app/tx/apply_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/tx/apply_test.cpp)" > src/test/app/tx/apply_test.cpp
fi
if ! grep -q 'Dev Null' src/test/rpc/ManifestRPC_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ManifestRPC_test.cpp)" >src/test/rpc/ManifestRPC_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ManifestRPC_test.cpp)" > src/test/rpc/ManifestRPC_test.cpp
fi
if ! grep -q 'Dev Null' src/test/rpc/ValidatorInfo_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ValidatorInfo_test.cpp)" >src/test/rpc/ValidatorInfo_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ValidatorInfo_test.cpp)" > src/test/rpc/ValidatorInfo_test.cpp
fi
if ! grep -q 'Dev Null' src/xrpld/rpc/handlers/server_info/Manifest.cpp; then
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/server_info/Manifest.cpp)" >src/xrpld/rpc/handlers/server_info/Manifest.cpp
if ! grep -q 'Dev Null' src/xrpld/rpc/handlers/DoManifest.cpp; then
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/DoManifest.cpp)" > src/xrpld/rpc/handlers/DoManifest.cpp
fi
if ! grep -q 'Dev Null' src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp; then
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp)" >src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp
if ! grep -q 'Dev Null' src/xrpld/rpc/handlers/ValidatorInfo.cpp; then
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/ValidatorInfo.cpp)" > src/xrpld/rpc/handlers/ValidatorInfo.cpp
fi
if ! grep -q 'Bougalis' include/xrpl/basics/SlabAllocator.h; then
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/SlabAllocator.h)" >include/xrpl/basics/SlabAllocator.h # cspell: ignore Nikolaos Bougalis nikb
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/SlabAllocator.h)" > include/xrpl/basics/SlabAllocator.h # cspell: ignore Nikolaos Bougalis nikb
fi
if ! grep -q 'Bougalis' include/xrpl/basics/spinlock.h; then
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/spinlock.h)" >include/xrpl/basics/spinlock.h # cspell: ignore Nikolaos Bougalis nikb
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/spinlock.h)" > include/xrpl/basics/spinlock.h # cspell: ignore Nikolaos Bougalis nikb
fi
if ! grep -q 'Bougalis' include/xrpl/basics/tagged_integer.h; then
echo -e "// Copyright (c) 2014, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/tagged_integer.h)" >include/xrpl/basics/tagged_integer.h # cspell: ignore Nikolaos Bougalis nikb
echo -e "// Copyright (c) 2014, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/tagged_integer.h)" > include/xrpl/basics/tagged_integer.h # cspell: ignore Nikolaos Bougalis nikb
fi
if ! grep -q 'Ritchford' include/xrpl/beast/utility/Zero.h; then
echo -e "// Copyright (c) 2014, Tom Ritchford <tom@swirly.com>\n\n$(cat include/xrpl/beast/utility/Zero.h)" >include/xrpl/beast/utility/Zero.h # cspell: ignore Ritchford
echo -e "// Copyright (c) 2014, Tom Ritchford <tom@swirly.com>\n\n$(cat include/xrpl/beast/utility/Zero.h)" > include/xrpl/beast/utility/Zero.h # cspell: ignore Ritchford
fi
# Restore newlines and tabs in string literals in the affected file.

View File

@@ -6,11 +6,11 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
fi
# This script renames definitions, such as include guards, in this project.

View File

@@ -1,96 +0,0 @@
#!/bin/bash
# Exit the script as soon as an error occurs.
set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
fi
# This script renames all remaining references to `ripple` and `rippled` to
# `xrpl` and `xrpld`, respectively, in code, comments, and documentation.
# Usage: .github/scripts/rename/docs.sh <repository directory>
if [ "$#" -ne 1 ]; then
echo "Usage: $0 <repository directory>"
exit 1
fi
DIRECTORY=$1
echo "Processing directory: ${DIRECTORY}"
if [ ! -d "${DIRECTORY}" ]; then
echo "Error: Directory '${DIRECTORY}' does not exist."
exit 1
fi
pushd "${DIRECTORY}"
find . -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" -o -name "*.txt" -o -name "*.cfg" -o -name "*.md" -o -name "*.proto" \) -not -path "./.github/scripts/*" | while read -r FILE; do
echo "Processing file: ${FILE}"
${SED_COMMAND} -i 's/rippleLockEscrowMPT/lockEscrowMPT/g' "${FILE}"
${SED_COMMAND} -i 's/rippleUnlockEscrowMPT/unlockEscrowMPT/g' "${FILE}"
${SED_COMMAND} -i 's/rippleCredit/directSendNoFee/g' "${FILE}"
${SED_COMMAND} -i 's/rippleSend/directSendNoLimit/g' "${FILE}"
${SED_COMMAND} -i -E 's@([^/+-])rippled@\1xrpld@g' "${FILE}"
${SED_COMMAND} -i -E 's@([^/+-])Rippled@\1Xrpld@g' "${FILE}"
${SED_COMMAND} -i -E 's/^rippled/xrpld/g' "${FILE}"
${SED_COMMAND} -i -E 's/^Rippled/Xrpld/g' "${FILE}"
# cspell: disable
${SED_COMMAND} -i -E 's/(r|R)ipple (a|A)ddress/XRPL address/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (a|A)ccount/XRPL account/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (a|A)lgorithm/XRPL algorithm/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (c|C)lient/XRPL client/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (c|C)luster/XRPL cluster/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (c|C)onsensus/XRPL consensus/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (d|D)efault/XRPL default/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (e|E)poch/XRPL epoch/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (f|F)eature/XRPL feature/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (n|N)etwork/XRPL network/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (p|P)ayment/XRPL payment/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (p|P)rotocol/XRPL protocol/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (r|R)epository/XRPL repository/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple RPC/XRPL RPC/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (s|S)erialization/XRPL serialization/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (s|S)erver/XRPL server/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (s|S)pecific/XRPL specific/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple Source/XRPL Source/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (t|T)imestamp/XRPL timestamp/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple uses the consensus/XRPL uses the consensus/g' "${FILE}"
${SED_COMMAND} -i -E 's/(r|R)ipple (v|V)alidator/XRPL validator/g' "${FILE}"
# cspell: enable
${SED_COMMAND} -i 's/RippleLib/XrplLib/g' "${FILE}"
${SED_COMMAND} -i 's/ripple-lib/XrplLib/g' "${FILE}"
${SED_COMMAND} -i 's@opt/ripple/@opt/xrpld/@g' "${FILE}"
${SED_COMMAND} -i 's@src/ripple/@src/xrpld/@g' "${FILE}"
${SED_COMMAND} -i 's@ripple/app/@xrpld/app/@g' "${FILE}"
${SED_COMMAND} -i 's@github.com/ripple/rippled@github.com/XRPLF/rippled@g' "${FILE}"
${SED_COMMAND} -i 's/\ba xrpl/an xrpl/g' "${FILE}"
${SED_COMMAND} -i 's/\ba XRPL/an XRPL/g' "${FILE}"
done
${SED_COMMAND} -i 's/ripple_libs/xrpl_libs/' BUILD.md
${SED_COMMAND} -i 's/Ripple integrators/XRPL developers/' README.md
${SED_COMMAND} -i 's/sanitizer-configuration-for-rippled/sanitizer-configuration-for-xrpld/' docs/build/sanitizers.md
${SED_COMMAND} -i 's/rippled/xrpld/g' .github/scripts/levelization/README.md
${SED_COMMAND} -i 's/rippled/xrpld/g' .github/scripts/strategy-matrix/generate.py
${SED_COMMAND} -i 's@/rippled@/xrpld@g' docs/build/install.md
${SED_COMMAND} -i 's@github.com/XRPLF/xrpld@github.com/XRPLF/rippled@g' docs/build/install.md
${SED_COMMAND} -i 's/rippled/xrpld/g' docs/Doxyfile
${SED_COMMAND} -i 's/ripple_basics/basics/' include/xrpl/basics/CountedObject.h
${SED_COMMAND} -i 's/<ripple/<xrpl/' include/xrpl/protocol/AccountID.h
${SED_COMMAND} -i 's/Ripple:/the XRPL:/g' include/xrpl/protocol/SecretKey.h
${SED_COMMAND} -i 's/Ripple:/the XRPL:/g' include/xrpl/protocol/Seed.h
${SED_COMMAND} -i 's/ripple/xrpl/g' src/test/README.md
${SED_COMMAND} -i 's/www.ripple.com/www.xrpl.org/g' src/test/protocol/Seed_test.cpp
# Restore specific changes.
${SED_COMMAND} -i 's@b5efcc/src/xrpld@b5efcc/src/ripple@' include/xrpl/protocol/README.md
${SED_COMMAND} -i 's/dbPrefix_ = "xrpldb"/dbPrefix_ = "rippledb"/' src/xrpld/app/misc/SHAMapStoreImp.h # cspell: disable-line
${SED_COMMAND} -i 's/kConfigLegacyName = "xrpld.cfg"/kConfigLegacyName = "rippled.cfg"/' src/xrpld/core/detail/Config.cpp
popd
echo "Renaming complete."

View File

@@ -23,8 +23,8 @@ fi
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
if grep -q "#ifndef XRPL_" "${FILE}"; then
echo "Please replace all include guards by #pragma once."
exit 1
echo "Please replace all include guards by #pragma once."
exit 1
fi
done
echo "Checking complete."

View File

@@ -6,11 +6,11 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
fi
# This script renames the `ripple` namespace to `xrpl` in this project.
@@ -31,19 +31,18 @@ if [ ! -d "${DIRECTORY}" ]; then
echo "Error: Directory '${DIRECTORY}' does not exist."
exit 1
fi
pushd "${DIRECTORY}"
pushd ${DIRECTORY}
DIRECTORIES=("include" "src" "tests")
for DIRECTORY in "${DIRECTORIES[@]}"; do
echo "Processing directory: ${DIRECTORY}"
echo "Processing directory: ${DIRECTORY}"
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" -o -name "*.macro" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
${SED_COMMAND} -i 's/namespace ripple/namespace xrpl/g' "${FILE}"
${SED_COMMAND} -i 's/ripple::/xrpl::/g' "${FILE}"
${SED_COMMAND} -i 's/"ripple:/"xrpl::/g' "${FILE}"
${SED_COMMAND} -i -E 's/(BEAST_DEFINE_TESTSUITE.+)ripple(.+)/\1xrpl\2/g' "${FILE}"
done
find "${DIRECTORY}" -type f \( -name "*.h" -o -name "*.hpp" -o -name "*.ipp" -o -name "*.cpp" \) | while read -r FILE; do
echo "Processing file: ${FILE}"
${SED_COMMAND} -i 's/namespace ripple/namespace xrpl/g' "${FILE}"
${SED_COMMAND} -i 's/ripple::/xrpl::/g' "${FILE}"
${SED_COMMAND} -i -E 's/(BEAST_DEFINE_TESTSUITE.+)ripple(.+)/\1xrpl\2/g' "${FILE}"
done
done
# Special case for NuDBFactory that has ripple twice in the test suite name.

View File

@@ -1,324 +1,333 @@
#!/usr/bin/env python3
import argparse
import dataclasses
import itertools
import json
from dataclasses import dataclass
from pathlib import Path
THIS_DIR = Path(__file__).parent.resolve()
_BASE_CMAKE_ARGS = ["-Dtests=ON", "-Dwerr=ON", "-Dxrpld=ON", "-Dwextra=ON"]
# Maps sanitizer names (as used in cmake) to short config-name suffixes.
_SANITIZER_SUFFIX: dict[str, str] = {
"address": "asan",
"undefinedbehavior": "ubsan",
"thread": "tsan",
}
def get_cmake_args(build_type: str, extra_args: str) -> str:
"""Get the full list of CMake arguments for a config."""
args = _BASE_CMAKE_ARGS.copy()
if build_type == "Release":
args.append("-Dassert=ON")
if extra_args:
args.extend(extra_args.split())
return " ".join(args)
def runs_on_event(exclude_event_types: list[str], event: str | None) -> bool:
"""Whether a config should run for the current event.
'exclude_event_types' is a list of GitHub event names (e.g.
["pull_request"]) on which the config should NOT run; an empty list means
the config runs on every event. When no event is given (event is None), no
filtering is applied.
"""
if event is None:
return True
return event not in exclude_event_types
# ---------------------------------------------------------------------------
# Input types — shapes of the JSON config files
# ---------------------------------------------------------------------------
@dataclasses.dataclass
class LinuxConfig:
"""One entry in linux.json's 'configs' or 'package_configs' arrays."""
compiler: list[str]
@dataclass
class Config:
architecture: list[dict]
os: list[dict]
build_type: list[str]
arch: list[str]
sanitizers: list[str] = dataclasses.field(default_factory=list)
suffix: str = ""
extra_cmake_args: str = ""
image: str = "" # only used by package_configs entries
# List of GitHub event names (e.g. "pull_request") on which this config
# should NOT run. Empty means it runs on every event.
exclude_event_types: list[str] = dataclasses.field(default_factory=list)
cmake_args: list[str]
@dataclasses.dataclass
class LinuxFile:
"""Shape of linux.json."""
"""
Generate a strategy matrix for GitHub Actions CI.
image_tag: str
configs: dict[str, list[LinuxConfig]] # distro → configs
package_configs: dict[str, list[LinuxConfig]] # distro → packaging configs
On each PR commit we will build a selection of Debian, RHEL, Ubuntu, MacOS, and
Windows configurations, while upon merge into the develop or release branches,
we will build all configurations, and test most of them.
@classmethod
def load(cls, path: Path) -> "LinuxFile":
data = json.loads(path.read_text())
def parse(section: dict) -> dict[str, list[LinuxConfig]]:
return {
distro: [LinuxConfig(**c) for c in cfgs]
for distro, cfgs in section.items()
}
return cls(
image_tag=data["image_tag"],
configs=parse(data["configs"]),
package_configs=parse(data.get("package_configs", {})),
)
We will further set additional CMake arguments as follows:
- All builds will have the `tests`, `werr`, and `xrpld` options.
- All builds will have the `wextra` option except for GCC 12 and Clang 16.
- All release builds will have the `assert` option.
- Certain Debian Bookworm configurations will change the reference fee, enable
codecov, and enable voidstar in PRs.
"""
@dataclasses.dataclass
class PlatformConfig:
"""One entry in macos.json's or windows.json's 'configs' array."""
def generate_strategy_matrix(all: bool, config: Config) -> list:
configurations = []
for architecture, os, build_type, cmake_args in itertools.product(
config.architecture, config.os, config.build_type, config.cmake_args
):
# The default CMake target is 'all' for Linux and MacOS and 'install'
# for Windows, but it can get overridden for certain configurations.
cmake_target = "install" if os["distro_name"] == "windows" else "all"
build_type: list[str]
build_only: bool = False # if true, skip tests (e.g. macos/Windows Debug)
extra_cmake_args: str = ""
# List of GitHub event names (e.g. "pull_request") on which this config
# should NOT run. Empty means it runs on every event.
exclude_event_types: list[str] = dataclasses.field(default_factory=list)
# We build and test all configurations by default, except for Windows in
# Debug, because it is too slow, as well as when code coverage is
# enabled as that mode already runs the tests.
build_only = False
if os["distro_name"] == "windows" and build_type == "Debug":
build_only = True
def __post_init__(self) -> None:
if isinstance(self.build_type, str):
self.build_type = [self.build_type]
# Only generate a subset of configurations in PRs.
if not all:
# Debian:
# - Bookworm using GCC 13: Release on linux/amd64, set the reference
# fee to 500.
# - Bookworm using GCC 15: Debug on linux/amd64, enable code
# coverage (which will be done below).
# - Bookworm using Clang 16: Debug on linux/arm64, enable voidstar.
# - Bookworm using Clang 17: Release on linux/amd64, set the
# reference fee to 1000.
# - Bookworm using Clang 20: Debug on linux/amd64.
if os["distro_name"] == "debian":
skip = True
if os["distro_version"] == "bookworm":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-13"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"-DUNIT_TEST_REFERENCE_FEE=500 {cmake_args}"
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-15"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-16"
and build_type == "Debug"
and architecture["platform"] == "linux/arm64"
):
cmake_args = f"-Dvoidstar=ON {cmake_args}"
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-17"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"-DUNIT_TEST_REFERENCE_FEE=1000 {cmake_args}"
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-20"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
if skip:
continue
# RHEL:
# - 9 using GCC 12: Debug on linux/amd64.
# - 10 using Clang: Release on linux/amd64.
if os["distro_name"] == "rhel":
skip = True
if os["distro_version"] == "9":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
elif os["distro_version"] == "10":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-any"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
skip = False
if skip:
continue
@dataclasses.dataclass
class PlatformFile:
"""Shape of macos.json and windows.json."""
# Ubuntu:
# - Jammy using GCC 12: Debug on linux/arm64.
# - Noble using GCC 14: Release on linux/amd64.
# - Noble using Clang 18: Debug on linux/amd64.
# - Noble using Clang 19: Release on linux/arm64.
if os["distro_name"] == "ubuntu":
skip = True
if os["distro_version"] == "jammy":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type == "Debug"
and architecture["platform"] == "linux/arm64"
):
skip = False
elif os["distro_version"] == "noble":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-14"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-18"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-19"
and build_type == "Release"
and architecture["platform"] == "linux/arm64"
):
skip = False
if skip:
continue
platform: str # e.g. "macos/arm64" or "windows/amd64"
runner: list[str] # GitHub Actions runner labels
configs: list[PlatformConfig]
@classmethod
def load(cls, path: Path) -> "PlatformFile":
data = json.loads(path.read_text())
return cls(
platform=data["platform"],
runner=data["runner"],
configs=[PlatformConfig(**c) for c in data["configs"]],
)
# ---------------------------------------------------------------------------
# Output types — shapes of the generated GitHub Actions matrix entries
# ---------------------------------------------------------------------------
@dataclasses.dataclass
class Architecture:
platform: str
runner: list[str]
@dataclasses.dataclass
class MatrixEntry:
"""One entry in the generated build/test strategy matrix."""
config_name: str
cmake_args: str
cmake_target: str
build_only: bool
build_type: str
architecture: Architecture
sanitizers: str
image: str = "" # container image; empty for macOS/Windows (runs natively)
compiler: str = "" # compiler name ("gcc" or "clang"); empty for macOS/Windows
@dataclasses.dataclass
class PackagingEntry:
"""One entry in the generated packaging strategy matrix."""
artifact_name: str
image: str
distro: str # e.g. "debian" or "rhel"; drives package-format-specific steps
# ---------------------------------------------------------------------------
# Matrix expansion
# ---------------------------------------------------------------------------
_ARCHS: dict[str, Architecture] = {
"amd64": Architecture(
platform="linux/amd64", runner=["self-hosted", "Linux", "X64", "heavy"]
),
"arm64": Architecture(
platform="linux/arm64",
runner=["self-hosted", "Linux", "ARM64", "heavy-arm64"],
),
}
def expand_linux_matrix(
linux: LinuxFile, event: str | None = None
) -> list[MatrixEntry]:
"""Expand a LinuxFile into a flat list of matrix entries.
Each config entry is expanded over the cross-product of its
compiler, build_type, sanitizers, and architecture lists. Configs that
exclude the current event are skipped.
"""
entries: list[MatrixEntry] = []
for distro, configs in linux.configs.items():
for cfg in configs:
if not runs_on_event(cfg.exclude_event_types, event):
continue
# An empty sanitizers list means "one entry with no sanitizer".
effective_sanitizers = cfg.sanitizers or [""]
effective_archs = {arch: _ARCHS[arch] for arch in cfg.arch}
for compiler, build_type, sanitizer, (arch, arch_info) in itertools.product(
cfg.compiler,
cfg.build_type,
effective_sanitizers,
effective_archs.items(),
# MacOS:
# - Debug on macos/arm64.
if os["distro_name"] == "macos" and not (
build_type == "Debug" and architecture["platform"] == "macos/arm64"
):
name = f"{distro}-{compiler}-{build_type.lower()}-{arch}"
suffix_parts = [
s for s in [cfg.suffix, _SANITIZER_SUFFIX.get(sanitizer, "")] if s
]
if suffix_parts:
name += "-" + "-".join(suffix_parts)
continue
entries.append(
MatrixEntry(
config_name=name,
image=f"ghcr.io/xrplf/xrpld/nix-{distro}:{linux.image_tag}",
cmake_args=get_cmake_args(build_type, cfg.extra_cmake_args),
cmake_target="all",
build_only=False,
build_type=build_type,
architecture=arch_info,
sanitizers=sanitizer,
compiler=compiler,
)
)
# Windows:
# - Release on windows/amd64.
if os["distro_name"] == "windows" and not (
build_type == "Release" and architecture["platform"] == "windows/amd64"
):
continue
return entries
# Additional CMake arguments.
cmake_args = f"{cmake_args} -Dtests=ON -Dwerr=ON -Dxrpld=ON"
if not f"{os['compiler_name']}-{os['compiler_version']}" in [
"gcc-12",
"clang-16",
]:
cmake_args = f"{cmake_args} -Dwextra=ON"
if build_type == "Release":
cmake_args = f"{cmake_args} -Dassert=ON"
def expand_linux_packaging(linux: LinuxFile) -> list[PackagingEntry]:
"""Generate the packaging matrix from a LinuxFile's package_configs section.
Packaging uses vanilla distro images (debian:bookworm, ubi9, …) instead of
the nix-based build images, because deb/rpm tooling (debhelper, rpm-build)
is taken from the distro's archive rather than from nixpkgs. Each config
entry carries its own 'image'.
"""
entries = []
for distro, configs in linux.package_configs.items():
for cfg in configs:
for compiler, build_type in itertools.product(cfg.compiler, cfg.build_type):
entries.append(
PackagingEntry(
artifact_name=f"xrpld-{distro}-{compiler}-{build_type.lower()}-amd64",
image=cfg.image,
distro=distro,
)
)
return entries
def expand_platform_matrix(
pf: PlatformFile, event: str | None = None
) -> list[MatrixEntry]:
"""Expand a PlatformFile (macOS or Windows) into matrix entries.
Configs that exclude the current event are skipped.
"""
platform_name, arch = pf.platform.split("/")
is_windows = platform_name == "windows"
entries: list[MatrixEntry] = []
for cfg in pf.configs:
if not runs_on_event(cfg.exclude_event_types, event):
# We skip all RHEL on arm64 due to a build failure that needs further
# investigation.
if os["distro_name"] == "rhel" and architecture["platform"] == "linux/arm64":
continue
for build_type in cfg.build_type:
entries.append(
MatrixEntry(
config_name=f"{platform_name}-{arch}-{build_type.lower()}",
cmake_args=get_cmake_args(build_type, cfg.extra_cmake_args),
cmake_target="install" if is_windows else "all",
build_only=cfg.build_only,
build_type=build_type,
architecture=Architecture(platform=pf.platform, runner=pf.runner),
sanitizers="",
)
# We skip all clang 20+ on arm64 due to Boost build error.
if (
f"{os['compiler_name']}-{os['compiler_version']}"
in ["clang-20", "clang-21"]
and architecture["platform"] == "linux/arm64"
):
continue
# Enable code coverage for Debian Bookworm using GCC 15 in Debug on
# linux/amd64
if (
f"{os['distro_name']}-{os['distro_version']}" == "debian-bookworm"
and f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-15"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"{cmake_args} -Dcoverage=ON -Dcoverage_format=xml -DCODE_COVERAGE_VERBOSE=ON -DCMAKE_C_FLAGS=-O0 -DCMAKE_CXX_FLAGS=-O0"
# Enable unity build for Ubuntu Jammy using GCC 12 in Debug on
# linux/amd64.
if (
f"{os['distro_name']}-{os['distro_version']}" == "ubuntu-jammy"
and f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"{cmake_args} -Dunity=ON"
# Generate a unique name for the configuration, e.g. macos-arm64-debug
# or debian-bookworm-gcc-12-amd64-release.
config_name = os["distro_name"]
if (n := os["distro_version"]) != "":
config_name += f"-{n}"
if (n := os["compiler_name"]) != "":
config_name += f"-{n}"
if (n := os["compiler_version"]) != "":
config_name += f"-{n}"
config_name += (
f"-{architecture['platform'][architecture['platform'].find('/')+1:]}"
)
config_name += f"-{build_type.lower()}"
if "-Dcoverage=ON" in cmake_args:
config_name += "-coverage"
if "-Dunity=ON" in cmake_args:
config_name += "-unity"
# Add the configuration to the list, with the most unique fields first,
# so that they are easier to identify in the GitHub Actions UI, as long
# names get truncated.
# Add Address and Thread (both coupled with UB) sanitizers for specific bookworm distros.
# GCC-Asan rippled-embedded tests are failing because of https://github.com/google/sanitizers/issues/856
if (
os["distro_version"] == "bookworm"
and f"{os['compiler_name']}-{os['compiler_version']}" == "clang-20"
):
# Add ASAN + UBSAN configuration.
configurations.append(
{
"config_name": config_name + "-asan-ubsan",
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "address,undefinedbehavior",
}
)
return entries
# TSAN is deactivated due to seg faults with latest compilers.
activate_tsan = False
if activate_tsan:
configurations.append(
{
"config_name": config_name + "-tsan-ubsan",
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "thread,undefinedbehavior",
}
)
else:
configurations.append(
{
"config_name": config_name,
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "",
}
)
return configurations
# ---------------------------------------------------------------------------
# Entry point
# ---------------------------------------------------------------------------
def read_config(file: Path) -> Config:
config = json.loads(file.read_text())
if (
config["architecture"] is None
or config["os"] is None
or config["build_type"] is None
or config["cmake_args"] is None
):
raise Exception("Invalid configuration file.")
return Config(**config)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Generate a CI strategy matrix for all platforms or a specific one."
parser = argparse.ArgumentParser()
parser.add_argument(
"-a",
"--all",
help="Set to generate all configurations (generally used when merging a PR) or leave unset to generate a subset of configurations (generally used when committing to a PR).",
action="store_true",
)
parser.add_argument(
"-c",
"--config",
help="Platform to generate for ('linux', 'macos', or 'windows'). Defaults to all platforms.",
choices=["linux", "macos", "windows"],
default=None,
)
parser.add_argument(
"-p",
"--packaging",
help="Emit the Linux packaging matrix instead of the build/test matrix.",
action="store_true",
)
parser.add_argument(
"-e",
"--event",
help="The GitHub event name that triggered the workflow (e.g. 'push', "
"'pull_request'). Configs are filtered by their 'event_type'. If "
"omitted, no filtering is applied.",
default=None,
help="Path to the JSON file containing the strategy matrix configurations.",
required=False,
type=Path,
)
args = parser.parse_args()
matrix: list[MatrixEntry] | list[PackagingEntry] = []
if args.packaging:
matrix = expand_linux_packaging(LinuxFile.load(THIS_DIR / "linux.json"))
matrix = []
if args.config is None or args.config == "":
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "linux.json")
)
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "macos.json")
)
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "windows.json")
)
else:
if args.config in ("linux", None):
matrix += expand_linux_matrix(
LinuxFile.load(THIS_DIR / "linux.json"), args.event
)
if args.config in ("macos", None):
matrix += expand_platform_matrix(
PlatformFile.load(THIS_DIR / "macos.json"), args.event
)
if args.config in ("windows", None):
matrix += expand_platform_matrix(
PlatformFile.load(THIS_DIR / "windows.json"), args.event
)
matrix += generate_strategy_matrix(args.all, read_config(args.config))
print(f"matrix={json.dumps({'include': [dataclasses.asdict(e) for e in matrix]})}")
# Generate the strategy matrix.
print(f"matrix={json.dumps({'include': matrix})}")

View File

@@ -1,84 +1,212 @@
{
"image_tag": "sha-63ffdc3",
"configs": {
"ubuntu": [
{
"compiler": ["gcc", "clang"],
"build_type": ["Debug", "Release"],
"arch": ["amd64", "arm64"]
},
{
"compiler": ["gcc", "clang"],
"build_type": ["Debug"],
"arch": ["amd64"],
"sanitizers": ["address", "undefinedbehavior"]
},
{
"compiler": ["gcc"],
"build_type": ["Debug"],
"arch": ["amd64"],
"suffix": "coverage",
"extra_cmake_args": "-DUNIT_TEST_REFERENCE_FEE=500 -Dcoverage=ON -Dcoverage_format=xml -DCODE_COVERAGE_VERBOSE=ON -DCMAKE_C_FLAGS=-O0 -DCMAKE_CXX_FLAGS=-O0"
},
{
"compiler": ["clang"],
"build_type": ["Debug"],
"arch": ["amd64"],
"suffix": "voidstar",
"extra_cmake_args": "-Dvoidstar=ON"
},
{
"compiler": ["clang"],
"build_type": ["Release"],
"arch": ["amd64"],
"suffix": "reffee",
"extra_cmake_args": "-DUNIT_TEST_REFERENCE_FEE=1000"
},
{
"compiler": ["gcc"],
"build_type": ["Debug"],
"arch": ["amd64"],
"suffix": "unity",
"extra_cmake_args": "-Dunity=ON",
"exclude_event_types": ["pull_request"]
}
],
"debian": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"]
}
],
"rhel": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"]
}
]
},
"package_configs": {
"debian": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"],
"image": "ghcr.io/xrplf/xrpld/packaging-debian:sha-63ffdc3"
}
],
"rhel": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"],
"image": "ghcr.io/xrplf/xrpld/packaging-rhel:sha-63ffdc3"
}
]
}
"architecture": [
{
"platform": "linux/amd64",
"runner": ["self-hosted", "Linux", "X64", "heavy"]
},
{
"platform": "linux/arm64",
"runner": ["self-hosted", "Linux", "ARM64", "heavy-arm64"]
}
],
"os": [
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "15",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "16",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "17",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "18",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "19",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "20",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "gcc",
"compiler_version": "15",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "clang",
"compiler_version": "20",
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "clang",
"compiler_version": "21",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "8",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "8",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "10",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "10",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "jammy",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "16",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "17",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "18",
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "19",
"image_sha": "ab4d1f0"
}
],
"build_type": ["Debug", "Release"],
"cmake_args": [""]
}

View File

@@ -1,16 +1,19 @@
{
"platform": "macos/arm64",
"runner": ["self-hosted", "macOS", "ARM64", "mac-runner-m1"],
"configs": [
"architecture": [
{
"build_type": "Release",
"extra_cmake_args": "-DCMAKE_POLICY_VERSION_MINIMUM=3.5"
},
{
"build_type": "Debug",
"extra_cmake_args": "-DCMAKE_POLICY_VERSION_MINIMUM=3.5",
"build_only": true,
"exclude_event_types": ["pull_request"]
"platform": "macos/arm64",
"runner": ["self-hosted", "macOS", "ARM64", "mac-runner-m1"]
}
]
],
"os": [
{
"distro_name": "macos",
"distro_version": "",
"compiler_name": "",
"compiler_version": "",
"image_sha": ""
}
],
"build_type": ["Debug", "Release"],
"cmake_args": ["-DCMAKE_POLICY_VERSION_MINIMUM=3.5"]
}

View File

@@ -1,12 +1,19 @@
{
"platform": "windows/amd64",
"runner": ["self-hosted", "Windows", "devbox"],
"configs": [
{ "build_type": "Release" },
"architecture": [
{
"build_type": "Debug",
"build_only": true,
"exclude_event_types": ["pull_request"]
"platform": "windows/amd64",
"runner": ["self-hosted", "Windows", "devbox"]
}
]
],
"os": [
{
"distro_name": "windows",
"distro_version": "",
"compiler_name": "",
"compiler_version": "",
"image_sha": ""
}
],
"build_type": ["Debug", "Release"],
"cmake_args": [""]
}

View File

@@ -1,54 +0,0 @@
name: Build Nix Docker images
on:
push:
branches:
- develop
paths:
- ".github/workflows/build-nix-images.yml"
- "flake.nix"
- "flake.lock"
- "nix/**"
pull_request:
paths:
- ".github/workflows/build-nix-images.yml"
- "flake.nix"
- "flake.lock"
- "nix/**"
workflow_dispatch:
concurrency:
# Read `on-trigger.yml` for the rationale behind this concurrency group name.
group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref == 'refs/heads/develop' && github.sha || github.ref }}
cancel-in-progress: true
defaults:
run:
shell: bash
jobs:
build-merge:
name: Build and push nix-${{ matrix.distro.name }}
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
# The base images are the oldest supported version of each distro
# that we want to build images for.
distro:
- name: nixos
base_image: nixos/nix:latest
- name: ubuntu
base_image: ubuntu:20.04
- name: debian
base_image: debian:bookworm
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@c1b480188519e0cad040e6aa70db1cbc5a797e07
with:
image_name: ghcr.io/xrplf/xrpld/nix-${{ matrix.distro.name }}
dockerfile: nix/docker/Dockerfile
base_image: ${{ matrix.distro.base_image }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}

View File

@@ -1,46 +0,0 @@
name: Build packaging Docker images
on:
push:
branches:
- develop
paths:
- ".github/workflows/build-packaging-images.yml"
- "package/Dockerfile"
- "package/install-packaging-tools.sh"
pull_request:
paths:
- ".github/workflows/build-packaging-images.yml"
- "package/Dockerfile"
- "package/install-packaging-tools.sh"
workflow_dispatch:
concurrency:
# Read `on-trigger.yml` for the rationale behind this concurrency group name.
group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref == 'refs/heads/develop' && github.sha || github.ref }}
cancel-in-progress: true
defaults:
run:
shell: bash
jobs:
build-merge:
name: Build and push packaging-${{ matrix.distro.name }}
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
distro:
- name: debian
base_image: debian:bookworm
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@c1b480188519e0cad040e6aa70db1cbc5a797e07
with:
image_name: ghcr.io/xrplf/xrpld/packaging-${{ matrix.distro.name }}
dockerfile: package/Dockerfile
base_image: ${{ matrix.distro.base_image }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}

View File

@@ -1,13 +0,0 @@
name: Check PR commits
on:
pull_request_target:
# The action needs to have write permissions to post comments on the PR.
permissions:
contents: read
pull-requests: write
jobs:
check_commits:
uses: XRPLF/actions/.github/workflows/check-pr-commits.yml@e2c7f400d1e85ae65dad552fd425169fbacca4a3

View File

@@ -1,39 +0,0 @@
name: Check PR description
on:
merge_group:
types:
- checks_requested
pull_request:
types:
- opened
- edited
- reopened
- synchronize
- ready_for_review
branches:
- develop
- "release-*"
- "release/*"
- "staging/*"
jobs:
check_description:
if: ${{ github.event.pull_request.draft != true }}
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- name: Write PR body to file
env:
PR_BODY: ${{ github.event.pull_request.body }}
if: ${{ github.event_name == 'pull_request' }}
run: printenv PR_BODY >pr_body.md
- name: Check PR description differs from template
if: ${{ github.event_name == 'pull_request' }}
run: |
python .github/scripts/check-pr-description.py \
--template-file .github/pull_request_template.md \
--pr-body-file pr_body.md

View File

@@ -1,23 +0,0 @@
name: Check PR title
on:
merge_group:
types:
- checks_requested
pull_request:
types:
- opened
- edited
- reopened
- synchronize
- ready_for_review
branches:
- develop
- "release-*"
- "release/*"
- "staging/*"
jobs:
check_title:
if: ${{ github.event.pull_request.draft != true }}
uses: XRPLF/actions/.github/workflows/check-pr-title.yml@cba1f0891650baf1a9c88624dc2d72573be2eb81

View File

@@ -1,25 +0,0 @@
name: Label PRs with merge conflicts
on:
# So that PRs touching the same files as the push are updated.
push:
# So that the `dirtyLabel` is removed if conflicts are resolved.
# We recommend `pull_request_target` so that github secrets are available.
# In `pull_request` we wouldn't be able to change labels of fork PRs.
pull_request_target:
types: [synchronize]
permissions:
pull-requests: write
jobs:
main:
runs-on: ubuntu-latest
steps:
- name: Check if PRs are dirty
uses: eps1lon/actions-label-merge-conflict@0273be72a0bbd58fcd71d0d6c02c209b50d1e5e1 # v3.1.0
with:
dirtyLabel: "PR: has conflicts"
repoToken: "${{ secrets.GITHUB_TOKEN }}"
commentOnDirty: "This PR has conflicts, please resolve them in order for the PR to be reviewed."
commentOnClean: "All conflicts have been resolved. Assigned reviewers can now start or resume their review."

View File

@@ -33,7 +33,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Determine changed files
# This step checks whether any files have changed that should
# cause the next jobs to run. We do it this way rather than
@@ -46,33 +46,32 @@ jobs:
# that Github considers any skipped jobs to have passed, and in
# turn the required checks as well.
id: changes
uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
uses: tj-actions/changed-files@7dee1b0c1557f278e5c7dc244927139d78c0e22a # v47.0.4
with:
files: |
# These paths are unique to `on-pr.yml`.
.github/scripts/levelization/**
.github/scripts/otel-naming/**
.github/scripts/rename/**
.github/workflows/reusable-check-levelization.yml
.github/workflows/reusable-check-otel-naming.yml
.github/workflows/reusable-check-rename.yml
.github/workflows/on-pr.yml
# Keep the paths below in sync with those in `on-trigger.yml`.
.github/actions/build-deps/**
.github/actions/build-test/**
.github/actions/generate-version/**
.github/actions/setup-conan/**
.github/scripts/strategy-matrix/**
.github/workflows/reusable-build.yml
.github/workflows/reusable-build-test-config.yml
.github/workflows/reusable-build-test.yml
.github/workflows/reusable-clang-tidy.yml
.github/workflows/reusable-package.yml
.github/workflows/reusable-clang-tidy-files.yml
.github/workflows/reusable-strategy-matrix.yml
.github/workflows/reusable-test.yml
.github/workflows/reusable-upload-recipe.yml
.clang-tidy
.codecov.yml
cfg/**
cmake/**
conan/**
external/**
@@ -82,10 +81,6 @@ jobs:
CMakeLists.txt
conanfile.py
conan.lock
LICENSE.md
package/**
README.md
- name: Check whether to run
# This step determines whether the rest of the workflow should
# run. The rest of the workflow will run if this job runs AND at
@@ -100,7 +95,7 @@ jobs:
READY: ${{ contains(github.event.pull_request.labels.*.name, 'Ready to merge') }}
MERGE: ${{ github.event_name == 'merge_group' }}
run: |
echo "go=${{ (env.DRAFT != 'true' && env.READY == 'true') || env.FILES == 'true' || env.MERGE == 'true' }}" >>"${GITHUB_OUTPUT}"
echo "go=${{ (env.DRAFT != 'true' && env.READY == 'true') || env.FILES == 'true' || env.MERGE == 'true' }}" >> "${GITHUB_OUTPUT}"
cat "${GITHUB_OUTPUT}"
outputs:
go: ${{ steps.go.outputs.go == 'true' }}
@@ -110,11 +105,6 @@ jobs:
if: ${{ needs.should-run.outputs.go == 'true' }}
uses: ./.github/workflows/reusable-check-levelization.yml
check-otel-naming:
needs: should-run
if: ${{ needs.should-run.outputs.go == 'true' }}
uses: ./.github/workflows/reusable-check-otel-naming.yml
check-rename:
needs: should-run
if: ${{ needs.should-run.outputs.go == 'true' }}
@@ -147,17 +137,13 @@ jobs:
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
package:
needs: [should-run, build-test]
if: ${{ needs.should-run.outputs.go == 'true' }}
uses: ./.github/workflows/reusable-package.yml
upload-recipe:
needs:
- should-run
- build-test
# Only run when committing to a PR that targets a release branch.
if: ${{ github.repository == 'XRPLF/rippled' && needs.should-run.outputs.go == 'true' && github.event_name == 'pull_request' && startsWith(github.event.pull_request.base.ref, 'release') }}
# Only run when committing to a PR that targets a release branch in the
# XRPLF repository.
if: ${{ github.repository_owner == 'XRPLF' && needs.should-run.outputs.go == 'true' && startsWith(github.ref, 'refs/heads/release') }}
uses: ./.github/workflows/reusable-upload-recipe.yml
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
@@ -175,22 +161,20 @@ jobs:
PR_URL: ${{ github.event.pull_request.html_url }}
run: |
gh api --method POST -H "Accept: application/vnd.github+json" -H "X-GitHub-Api-Version: 2022-11-28" \
/repos/xrplf/clio/dispatches -f "event_type=check_libxrpl" \
-F "client_payload[ref]=${{ needs.upload-recipe.outputs.recipe_ref }}" \
-F "client_payload[pr_url]=${PR_URL}"
/repos/xrplf/clio/dispatches -f "event_type=check_libxrpl" \
-F "client_payload[ref]=${{ needs.upload-recipe.outputs.recipe_ref }}" \
-F "client_payload[pr_url]=${PR_URL}"
passed:
if: failure() || cancelled()
needs:
- check-levelization
- check-otel-naming
- check-rename
- clang-tidy
- build-test
- package
- upload-recipe
- notify-clio
runs-on: ubuntu-latest
steps:
- name: Fail
run: exit 1
run: false

View File

@@ -1,11 +1,11 @@
# This workflow uploads the libxrpl recipe to the Conan remote and builds
# release packages when a versioned tag is pushed.
# This workflow uploads the libxrpl recipe to the Conan remote when a versioned
# tag is pushed.
name: Tag
on:
push:
tags:
- "[0-9]+.[0-9]+.[0-9]*"
- "v*"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
@@ -17,26 +17,9 @@ defaults:
jobs:
upload-recipe:
if: ${{ github.repository == 'XRPLF/rippled' }}
# Only run when a tag is pushed to the XRPLF repository.
if: ${{ github.repository_owner == 'XRPLF' }}
uses: ./.github/workflows/reusable-upload-recipe.yml
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
build-test:
if: ${{ github.repository == 'XRPLF/rippled' }}
uses: ./.github/workflows/reusable-build-test.yml
strategy:
fail-fast: true
matrix:
os: [linux]
with:
ccache_enabled: false
os: ${{ matrix.os }}
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
package:
if: ${{ github.repository == 'XRPLF/rippled' }}
needs: build-test
uses: ./.github/workflows/reusable-package.yml

View File

@@ -15,19 +15,20 @@ on:
# Keep the paths below in sync with those in `on-pr.yml`.
- ".github/actions/build-deps/**"
- ".github/actions/build-test/**"
- ".github/actions/generate-version/**"
- ".github/actions/setup-conan/**"
- ".github/scripts/strategy-matrix/**"
- ".github/workflows/reusable-build.yml"
- ".github/workflows/reusable-build-test-config.yml"
- ".github/workflows/reusable-build-test.yml"
- ".github/workflows/reusable-clang-tidy.yml"
- ".github/workflows/reusable-package.yml"
- ".github/workflows/reusable-clang-tidy-files.yml"
- ".github/workflows/reusable-strategy-matrix.yml"
- ".github/workflows/reusable-test.yml"
- ".github/workflows/reusable-upload-recipe.yml"
- ".clang-tidy"
- ".codecov.yml"
- "cfg/**"
- "cmake/**"
- "conan/**"
- "external/**"
@@ -37,9 +38,6 @@ on:
- "CMakeLists.txt"
- "conanfile.py"
- "conan.lock"
- "LICENSE.md"
- "package/**"
- "README.md"
# Run at 06:32 UTC on every day of the week from Monday through Friday. This
# will force all dependencies to be rebuilt, which is useful to verify that
@@ -88,18 +86,15 @@ jobs:
# not identical to a regular compilation.
ccache_enabled: ${{ github.repository_owner == 'XRPLF' && !startsWith(github.ref, 'refs/heads/release') }}
os: ${{ matrix.os }}
strategy_matrix: ${{ github.event_name == 'schedule' && 'all' || 'minimal' }}
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
upload-recipe:
needs: build-test
# Only run when pushing to the develop branch.
if: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' && github.ref == 'refs/heads/develop' }}
# Only run when pushing to the develop branch in the XRPLF repository.
if: ${{ github.repository_owner == 'XRPLF' && github.event_name == 'push' && github.ref == 'refs/heads/develop' }}
uses: ./.github/workflows/reusable-upload-recipe.yml
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
package:
needs: build-test
uses: ./.github/workflows/reusable-package.yml

View File

@@ -1,9 +1,6 @@
name: Run pre-commit hooks
on:
merge_group:
types:
- checks_requested
pull_request:
push:
branches:
@@ -14,7 +11,7 @@ on:
jobs:
# Call the workflow in the XRPLF/actions repo that runs the pre-commit hooks.
run-hooks:
uses: XRPLF/actions/.github/workflows/pre-commit.yml@312aaab296060ff89d7f798dcab59f019bea6e02
uses: XRPLF/actions/.github/workflows/pre-commit.yml@320be44621ca2a080f05aeb15817c44b84518108
with:
runs_on: ubuntu-latest
container: '{ "image": "ghcr.io/xrplf/ci/tools-rippled-pre-commit:sha-41ec7c1" }'

View File

@@ -6,6 +6,7 @@ on:
push:
branches:
- "develop"
- "release*"
paths:
- ".github/workflows/publish-docs.yml"
- "*.md"
@@ -36,20 +37,17 @@ env:
BUILD_DIR: build
# ubuntu-latest has only 2 CPUs for private repositories
# https://docs.github.com/en/actions/reference/runners/github-hosted-runners#standard-github-hosted-runners-for--private-repositories
NPROC_SUBTRACT: ${{ github.event.repository.visibility == 'public' && '2' || '1' }}
NPROC_SUBTRACT: ${{ github.event.repository.private && '1' || '2' }}
jobs:
build:
publish:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-63ffdc3
container: ghcr.io/xrplf/ci/tools-rippled-documentation:sha-a8c7be1
permissions:
contents: write
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
with:
enable_ccache: false
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Get number of processors
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
@@ -57,11 +55,19 @@ jobs:
with:
subtract: ${{ env.NPROC_SUBTRACT }}
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
- name: Check configuration
run: |
echo 'Checking path.'
echo ${PATH} | tr ':' '\n'
- name: Check Doxygen version
run: doxygen --version
echo 'Checking environment variables.'
env | sort
echo 'Checking CMake version.'
cmake --version
echo 'Checking Doxygen version.'
doxygen --version
- name: Build documentation
env:
@@ -72,23 +78,9 @@ jobs:
cmake -Donly_docs=ON ..
cmake --build . --target docs --parallel ${BUILD_NPROC}
- name: Create documentation artifact
if: ${{ github.event.repository.visibility == 'public' && github.event_name == 'push' }}
uses: actions/upload-pages-artifact@fc324d3547104276b827a68afc52ff2a11cc49c9 # v5.0.0
- name: Publish documentation
if: ${{ github.event_name == 'push' }}
uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0
with:
path: ${{ env.BUILD_DIR }}/docs/html
deploy:
if: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}
needs: build
runs-on: ubuntu-latest
permissions:
pages: write
id-token: write
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
steps:
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@cd2ce8fcbc39b97be8ca5fce6e763baed58fa128 # v5.0.0
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ${{ env.BUILD_DIR }}/docs/html

View File

@@ -57,12 +57,6 @@ on:
type: string
default: ""
compiler:
description: 'The compiler to use ("gcc" or "clang"). Leave empty for macOS/Windows (uses system default).'
required: false
type: string
default: ""
secrets:
CODECOV_TOKEN:
description: "The Codecov token to use for uploading coverage reports."
@@ -82,7 +76,7 @@ jobs:
name: ${{ inputs.config_name }}
runs-on: ${{ fromJSON(inputs.runs_on) }}
container: ${{ inputs.image != '' && inputs.image || null }}
timeout-minutes: ${{ inputs.sanitizers != '' && 360 || 90 }}
timeout-minutes: 60
env:
# Use a namespace to keep the objects separate for each configuration.
CCACHE_NAMESPACE: ${{ inputs.config_name }}
@@ -107,22 +101,22 @@ jobs:
steps:
- name: Cleanup workspace (macOS and Windows)
if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
uses: XRPLF/actions/cleanup-workspace@cf0433aa74563aead044a1e395610c96d65a37cf
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
uses: XRPLF/actions/prepare-runner@2cbf481018d930656e9276fcc20dc0e3a0be5b6d
with:
enable_ccache: ${{ inputs.ccache_enabled }}
- name: Set ccache log file
if: ${{ inputs.ccache_enabled && runner.debug == '1' }}
run: echo "CCACHE_LOGFILE=${{ runner.temp }}/ccache.log" >>"${GITHUB_ENV}"
run: echo "CCACHE_LOGFILE=${{ runner.temp }}/ccache.log" >> "${GITHUB_ENV}"
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
uses: ./.github/actions/print-env
- name: Get number of processors
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
@@ -130,12 +124,6 @@ jobs:
with:
subtract: ${{ inputs.nproc_subtract }}
- name: Set compiler environment (Linux)
if: ${{ runner.os == 'Linux' }}
uses: ./.github/actions/set-compiler-env
with:
compiler: ${{ inputs.compiler }}
- name: Setup Conan
env:
SANITIZERS: ${{ inputs.sanitizers }}
@@ -155,40 +143,15 @@ jobs:
working-directory: ${{ env.BUILD_DIR }}
env:
BUILD_TYPE: ${{ inputs.build_type }}
SANITIZERS: ${{ inputs.sanitizers }}
CMAKE_ARGS: ${{ inputs.cmake_args }}
run: |
cmake \
-G '${{ runner.os == 'Windows' && 'Visual Studio 17 2022' || 'Ninja' }}' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
${CMAKE_ARGS} \
..
- name: Check protocol autogen files are up-to-date
working-directory: ${{ env.BUILD_DIR }}
env:
MESSAGE: |
The generated protocol wrapper classes are out of date.
This typically happens when the macro files or generator scripts
have changed but the generated files were not regenerated.
To fix this:
1. Run: cmake --build . --target setup_code_gen
2. Run: cmake --build . --target code_gen
3. Commit and push the regenerated files
run: |
set -e
cmake --build . --target setup_code_gen
cmake --build . --target code_gen
DIFF=$(git -C .. status --porcelain -- include/xrpl/protocol_autogen src/tests/libxrpl/protocol_autogen)
if [ -n "${DIFF}" ]; then
echo "::error::Generated protocol files are out of date"
git -C .. diff -- include/xrpl/protocol_autogen src/tests/libxrpl/protocol_autogen
echo "${MESSAGE}"
exit 1
fi
-G '${{ runner.os == 'Windows' && 'Visual Studio 17 2022' || 'Ninja' }}' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
${CMAKE_ARGS} \
..
- name: Build the binary
working-directory: ${{ env.BUILD_DIR }}
@@ -198,79 +161,39 @@ jobs:
CMAKE_TARGET: ${{ inputs.cmake_target }}
run: |
cmake \
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target "${CMAKE_TARGET}"
# This step is needed to allow running in non-Nix environments
- name: Patch binary to use default loader and remove rpath (Linux)
if: ${{ runner.os == 'Linux' && env.SANITIZERS_ENABLED == 'false' }}
run: |
loader="$(/tmp/loader-path.sh)"
patchelf --set-interpreter "${loader}" --remove-rpath "${{ env.BUILD_DIR }}/xrpld"
# We're only running aarch64 Linux builds in Ubuntu-based images, so this is kept simple
- name: Install libatomic (Linux aarch64)
if: ${{ runner.os == 'Linux' && runner.arch == 'ARM64' }}
run: |
apt update --yes
apt install -y --no-install-recommends \
libatomic1
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target "${CMAKE_TARGET}"
- name: Show ccache statistics
if: ${{ inputs.ccache_enabled }}
run: |
ccache --show-stats -vv
if [ '${{ runner.debug }}' = '1' ]; then
cat "${CCACHE_LOGFILE}"
curl ${CCACHE_REMOTE_STORAGE%|*}/status || true
cat "${CCACHE_LOGFILE}"
curl ${CCACHE_REMOTE_STORAGE%|*}/status || true
fi
- name: Upload the binary (Linux)
if: ${{ github.event.repository.visibility == 'public' && runner.os == 'Linux' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
if: ${{ github.repository_owner == 'XRPLF' && runner.os == 'Linux' }}
uses: actions/upload-artifact@b7c566a772e6b6bfb58ed0dc250532a479d7789f # v6.0.0
with:
name: xrpld-${{ inputs.config_name }}
path: ${{ env.BUILD_DIR }}/xrpld
retention-days: 3
if-no-files-found: error
- name: Upload the test binary (Linux)
if: ${{ github.event.repository.visibility == 'public' && runner.os == 'Linux' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: xrpl_tests-${{ inputs.config_name }}
path: ${{ env.BUILD_DIR }}/xrpl_tests
retention-days: 3
if-no-files-found: error
- name: Export server definitions
if: ${{ runner.os != 'Windows' && !inputs.build_only && env.VOIDSTAR_ENABLED != 'true' }}
working-directory: ${{ env.BUILD_DIR }}
run: |
set -o pipefail
./xrpld --definitions | python3 -m json.tool >server_definitions.json
- name: Upload server definitions
if: ${{ github.event.repository.visibility == 'public' && inputs.config_name == 'debian-gcc-release-amd64' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: server-definitions
path: ${{ env.BUILD_DIR }}/server_definitions.json
retention-days: 3
if-no-files-found: error
- name: Check linking (Linux)
if: ${{ runner.os == 'Linux' && env.SANITIZERS_ENABLED == 'false' }}
working-directory: ${{ env.BUILD_DIR }}
run: |
ldd ./xrpld
if [ "$(ldd ./xrpld | grep -E '(libstdc\+\+|libgcc)' | wc -l)" -eq 0 ]; then
echo 'The binary is statically linked.'
echo 'The binary is statically linked.'
else
echo 'The binary is dynamically linked.'
exit 1
echo 'The binary is dynamically linked.'
exit 1
fi
- name: Verify presence of instrumentation (Linux)
@@ -281,22 +204,24 @@ jobs:
- name: Set sanitizer options
if: ${{ !inputs.build_only && env.SANITIZERS_ENABLED == 'true' }}
env:
CONFIG_NAME: ${{ inputs.config_name }}
run: |
ASAN_OPTS="include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-asan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/asan.supp"
if [[ "${CONFIG_NAME}" == *gcc* ]]; then
ASAN_OPTS="${ASAN_OPTS}:alloc_dealloc_mismatch=0"
fi
echo "ASAN_OPTIONS=${ASAN_OPTS}" >>${GITHUB_ENV}
echo "TSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-tsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/tsan.supp" >>${GITHUB_ENV}
echo "UBSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-ubsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/ubsan.supp" >>${GITHUB_ENV}
echo "LSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-lsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/lsan.supp" >>${GITHUB_ENV}
echo "ASAN_OPTIONS=print_stacktrace=1:detect_container_overflow=0:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/asan.supp" >> ${GITHUB_ENV}
echo "TSAN_OPTIONS=second_deadlock_stack=1:halt_on_error=0:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/tsan.supp" >> ${GITHUB_ENV}
echo "UBSAN_OPTIONS=suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/ubsan.supp" >> ${GITHUB_ENV}
echo "LSAN_OPTIONS=suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/lsan.supp" >> ${GITHUB_ENV}
- name: Run the separate tests
if: ${{ !inputs.build_only }}
working-directory: ${{ runner.os == 'Windows' && format('{0}/{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
run: ./xrpl_tests
working-directory: ${{ env.BUILD_DIR }}
# Windows locks some of the build files while running tests, and parallel jobs can collide
env:
BUILD_TYPE: ${{ inputs.build_type }}
PARALLELISM: ${{ runner.os == 'Windows' && '1' || steps.nproc.outputs.nproc }}
run: |
ctest \
--output-on-failure \
-C "${BUILD_TYPE}" \
-j "${PARALLELISM}"
- name: Run the embedded tests
if: ${{ !inputs.build_only }}
@@ -304,49 +229,8 @@ jobs:
env:
BUILD_NPROC: ${{ steps.nproc.outputs.nproc }}
run: |
set -o pipefail
# Coverage builds are slower due to instrumentation; use fewer parallel jobs to avoid flakiness
[ "$COVERAGE_ENABLED" = "true" ] && BUILD_NPROC=$((BUILD_NPROC - 2))
./xrpld --unittest --unittest-jobs "${BUILD_NPROC}"
# The resolver/preload workaround is only correct for the ASan build:
# a regular build doesn't hit the __dn_expand interceptor bug, and must
# NOT have libasan injected. So only preload when xrpld is ASan-built.
#
# libresolv hosts getaddrinfo's resolver helpers (dn_expand, res_*). Under ASan
# these are intercepted via dlsym(RTLD_NEXT, ...), which yields a NULL pointer
# and crashes DNS resolution if libresolv isn't loaded. Linking it guarantees
# the symbols are present; it's a harmless no-op on glibc >= 2.34 (merged into
# libc) and is what the compiler driver already does for sanitizer builds.
# https://github.com/llvm/llvm-project/issues/59007
# https://github.com/google/sanitizers/issues/1592
if ldd ./xrpld | grep -q libasan; then
PRELOAD="$(gcc -print-file-name=libasan.so):/usr/lib/x86_64-linux-gnu/libresolv.so.2"
else
PRELOAD=""
fi
LD_PRELOAD="$PRELOAD" ./xrpld --unittest --unittest-jobs "${BUILD_NPROC}" 2>&1 | tee unittest.log
- name: Show test failure summary
if: ${{ failure() && !inputs.build_only }}
env:
WORKING_DIR: ${{ runner.os == 'Windows' && format('{0}\{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
run: |
if [ ! -d "${WORKING_DIR}" ]; then
echo "Working directory '${WORKING_DIR}' does not exist."
exit 0
fi
cd "${WORKING_DIR}"
if [ ! -f unittest.log ]; then
echo "unittest.log not found; embedded tests may not have run."
exit 0
fi
if ! grep -E "failed" unittest.log; then
echo "Log present but no failure lines found in unittest.log."
fi
- name: Debug failure (Linux)
if: ${{ failure() && runner.os == 'Linux' && !inputs.build_only }}
run: |
@@ -363,14 +247,14 @@ jobs:
BUILD_TYPE: ${{ inputs.build_type }}
run: |
cmake \
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target coverage
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target coverage
- name: Upload coverage report
if: ${{ github.repository == 'XRPLF/rippled' && !inputs.build_only && env.COVERAGE_ENABLED == 'true' }}
uses: codecov/codecov-action@fb8b3582c8e4def4969c97caa2f19720cb33a72f # v7.0.0
if: ${{ github.repository_owner == 'XRPLF' && !inputs.build_only && env.COVERAGE_ENABLED == 'true' }}
uses: codecov/codecov-action@671740ac38dd9b0130fbe1cec585b89eea48d3de # v5.5.2
with:
disable_search: true
disable_telem: true

View File

@@ -19,6 +19,13 @@ on:
required: true
type: string
strategy_matrix:
# TODO: Support additional strategies, e.g. "ubuntu" for generating all Ubuntu configurations.
description: 'The strategy matrix to use for generating the configurations ("minimal", "all").'
required: false
type: string
default: "minimal"
secrets:
CODECOV_TOKEN:
description: "The Codecov token to use for uploading coverage reports."
@@ -30,6 +37,7 @@ jobs:
uses: ./.github/workflows/reusable-strategy-matrix.yml
with:
os: ${{ inputs.os }}
strategy_matrix: ${{ inputs.strategy_matrix }}
# Build and test the binary for each configuration.
build-test-config:
@@ -39,6 +47,7 @@ jobs:
strategy:
fail-fast: ${{ github.event_name == 'merge_group' }}
matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
max-parallel: 10
with:
build_only: ${{ matrix.build_only }}
build_type: ${{ matrix.build_type }}
@@ -46,9 +55,8 @@ jobs:
cmake_args: ${{ matrix.cmake_args }}
cmake_target: ${{ matrix.cmake_target }}
runs_on: ${{ toJSON(matrix.architecture.runner) }}
image: ${{ matrix.image || '' }}
image: ${{ contains(matrix.architecture.platform, 'linux') && format('ghcr.io/xrplf/ci/{0}-{1}:{2}-{3}-sha-{4}', matrix.os.distro_name, matrix.os.distro_version, matrix.os.compiler_name, matrix.os.compiler_version, matrix.os.image_sha) || '' }}
config_name: ${{ matrix.config_name }}
sanitizers: ${{ matrix.sanitizers }}
compiler: ${{ matrix.compiler || '' }}
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

View File

@@ -18,9 +18,9 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Check levelization
run: python .github/scripts/levelization/generate.py
run: .github/scripts/levelization/generate.sh
- name: Check for differences
env:
MESSAGE: |
@@ -32,15 +32,15 @@ jobs:
removed from loops.txt, it's probably an improvement, while if
something was added, it's probably a regression.
Run '.github/scripts/levelization/generate.py' in your repo, commit
Run '.github/scripts/levelization/generate.sh' in your repo, commit
and push the changes. See .github/scripts/levelization/README.md for
more info.
run: |
DIFF=$(git status --porcelain)
if [ -n "${DIFF}" ]; then
# Print the differences to give the contributor a hint about what to
# expect when running levelization on their own machine.
git diff
echo "${MESSAGE}"
exit 1
# Print the differences to give the contributor a hint about what to
# expect when running levelization on their own machine.
git diff
echo "${MESSAGE}"
exit 1
fi

View File

@@ -1,28 +0,0 @@
# This workflow checks that OpenTelemetry span-attribute names stay consistent
# across the code (*SpanNames.h), collector, Tempo, dashboards, and docs.
# See .github/scripts/otel-naming/check_otel_naming.py and the
# "Telemetry span attribute naming" section in CONTRIBUTING.md.
name: Check OTel naming
# This workflow can only be triggered by other workflows.
on: workflow_call
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-otel-naming
cancel-in-progress: true
defaults:
run:
shell: bash
jobs:
otel-naming:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- name: Check OTel naming
# The script is stdlib-only and reads only files already in the tree;
# it enforces each rule only when the layer it needs is present, so it
# works whether telemetry changes land in one PR or several.
run: python .github/scripts/otel-naming/check_otel_naming.py

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Check definitions
run: .github/scripts/rename/definitions.sh .
- name: Check copyright notices
@@ -33,8 +33,6 @@ jobs:
run: .github/scripts/rename/config.sh .
- name: Check include guards
run: .github/scripts/rename/include.sh .
- name: Check documentation
run: .github/scripts/rename/docs.sh .
- name: Check for differences
env:
MESSAGE: |
@@ -48,9 +46,9 @@ jobs:
run: |
DIFF=$(git status --porcelain)
if [ -n "${DIFF}" ]; then
# Print the differences to give the contributor a hint about what to
# expect when running the renaming scripts on their own machine.
git diff
echo "${MESSAGE}"
exit 1
# Print the differences to give the contributor a hint about what to
# expect when running the renaming scripts on their own machine.
git diff
echo "${MESSAGE}"
exit 1
fi

View File

@@ -0,0 +1,162 @@
name: Run clang-tidy on files
on:
workflow_call:
inputs:
files:
description: "List of files to check (empty means check all files)"
type: string
default: ""
create_issue_on_failure:
description: "Whether to create an issue if the check failed"
type: boolean
default: false
defaults:
run:
shell: bash
env:
# Conan installs the generators in the build/generators directory, see the
# layout() method in conanfile.py. We then run CMake from the build directory.
BUILD_DIR: build
BUILD_TYPE: Release
jobs:
run-clang-tidy:
name: Run clang tidy
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: "ghcr.io/xrplf/ci/debian-trixie:clang-21-sha-53033a2"
permissions:
issues: write
contents: read
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@2cbf481018d930656e9276fcc20dc0e3a0be5b6d
with:
enable_ccache: false
- name: Print build environment
uses: ./.github/actions/print-env
- name: Get number of processors
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
id: nproc
- name: Setup Conan
uses: ./.github/actions/setup-conan
- name: Build dependencies
uses: ./.github/actions/build-deps
with:
build_nproc: ${{ steps.nproc.outputs.nproc }}
build_type: ${{ env.BUILD_TYPE }}
log_verbosity: verbose
- name: Configure CMake
working-directory: ${{ env.BUILD_DIR }}
run: |
cmake \
-G 'Ninja' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
-Dtests=ON \
-Dwerr=ON \
-Dxrpld=ON \
..
# clang-tidy needs headers generated from proto files
- name: Build libxrpl.libpb
working-directory: ${{ env.BUILD_DIR }}
run: |
ninja -j ${{ steps.nproc.outputs.nproc }} xrpl.libpb
- name: Run clang tidy
id: run_clang_tidy
continue-on-error: true
env:
FILES: ${{ inputs.files }}
run: |
run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "$BUILD_DIR" $FILES 2>&1 | tee clang-tidy-output.txt
- name: Upload clang-tidy output
if: steps.run_clang_tidy.outcome != 'success'
uses: actions/upload-artifact@b7c566a772e6b6bfb58ed0dc250532a479d7789f # v6.0.0
with:
name: clang-tidy-results
path: clang-tidy-output.txt
retention-days: 30
- name: Create an issue
if: steps.run_clang_tidy.outcome != 'success' && inputs.create_issue_on_failure
id: create_issue
shell: bash
env:
GH_TOKEN: ${{ github.token }}
run: |
# Prepare issue body with clang-tidy output
cat > issue.md <<EOF
## Clang-tidy Check Failed
**Workflow:** ${{ github.workflow }}
**Run ID:** ${{ github.run_id }}
**Commit:** ${{ github.sha }}
**Branch/Ref:** ${{ github.ref }}
**Triggered by:** ${{ github.actor }}
### Clang-tidy Output:
\`\`\`
EOF
# Append clang-tidy output (filter for errors and warnings)
if [ -f clang-tidy-output.txt ]; then
# Extract lines containing 'error:', 'warning:', or 'note:'
grep -E '(error:|warning:|note:)' clang-tidy-output.txt > filtered-output.txt || true
# If filtered output is empty, use original (might be a different error format)
if [ ! -s filtered-output.txt ]; then
cp clang-tidy-output.txt filtered-output.txt
fi
# Truncate if too large
head -c 60000 filtered-output.txt >> issue.md
if [ "$(wc -c < filtered-output.txt)" -gt 60000 ]; then
echo "" >> issue.md
echo "... (output truncated, see artifacts for full output)" >> issue.md
fi
rm filtered-output.txt
else
echo "No output file found" >> issue.md
fi
cat >> issue.md <<EOF
\`\`\`
**Workflow run:** ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
---
*This issue was automatically created by the clang-tidy workflow.*
EOF
# Create the issue
gh issue create \
--label "Bug,Clang-tidy" \
--title "Clang-tidy check failed" \
--body-file ./issue.md \
> create_issue.log
created_issue="$(sed 's|.*/||' create_issue.log)"
echo "created_issue=$created_issue" >> $GITHUB_OUTPUT
echo "Created issue #$created_issue"
rm -f create_issue.log issue.md clang-tidy-output.txt
- name: Fail the workflow if clang-tidy failed
if: steps.run_clang_tidy.outcome != 'success'
run: |
echo "Clang-tidy check failed!"
exit 1

View File

@@ -1,4 +1,4 @@
name: Run clang-tidy on files
name: Clang-tidy check
on:
workflow_call:
@@ -16,180 +16,32 @@ defaults:
run:
shell: bash
env:
BUILD_DIR: build
BUILD_TYPE: Debug # Debug so that ASSERTS and such participate in clang-tidy check
OUTPUT_FILE: clang-tidy-output.txt
DIFF_FILE: clang-tidy-git-diff.txt
ISSUE_FILE: clang-tidy-issue.md
jobs:
determine-files:
name: Determine files to check
if: ${{ inputs.check_only_changed }}
permissions:
contents: read
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@312aaab296060ff89d7f798dcab59f019bea6e02
run-clang-tidy:
name: Run clang tidy
needs: [determine-files]
if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.cpp_changed_files != '' || needs.determine-files.outputs.clang_tidy_config_changed == 'true') }}
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: "ghcr.io/xrplf/xrpld/nix-debian:sha-63ffdc3"
permissions:
contents: read
issues: write
runs-on: ubuntu-latest
outputs:
any_changed: ${{ steps.changed_files.outputs.any_changed }}
all_changed_files: ${{ steps.changed_files.outputs.all_changed_files }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
- name: Get changed C++ files
id: changed_files
uses: tj-actions/changed-files@7dee1b0c1557f278e5c7dc244927139d78c0e22a # v47.0.4
with:
enable_ccache: false
files: |
**/*.cpp
**/*.h
**/*.ipp
separator: " "
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
- name: Get number of processors
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
id: nproc
- name: Set compiler environment
uses: ./.github/actions/set-compiler-env
with:
compiler: clang
- name: Setup Conan
uses: ./.github/actions/setup-conan
- name: Build dependencies
uses: ./.github/actions/build-deps
with:
build_nproc: ${{ steps.nproc.outputs.nproc }}
build_type: ${{ env.BUILD_TYPE }}
log_verbosity: verbose
- name: Configure CMake
working-directory: ${{ env.BUILD_DIR }}
run: |
cmake \
-G 'Ninja' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
-Dtests=ON \
-Dwerr=ON \
-Dxrpld=ON \
..
# clang-tidy needs headers generated from proto files
- name: Build libxrpl.libpb
working-directory: ${{ env.BUILD_DIR }}
run: |
ninja -j ${{ steps.nproc.outputs.nproc }} xrpl.libpb
- name: Run clang tidy
id: run_clang_tidy
continue-on-error: true
env:
TARGETS: ${{ (needs.determine-files.outputs.clang_tidy_config_changed != 'true' && inputs.check_only_changed) && needs.determine-files.outputs.cpp_changed_files || 'src tests' }}
run: |
set -o pipefail
run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "${BUILD_DIR}" -quiet -fix -allow-no-checks ${TARGETS} 2>&1 | tee "${OUTPUT_FILE}"
- name: Print errors
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
sed '/error\||/!d' "${OUTPUT_FILE}"
- name: Upload clang-tidy output
if: ${{ github.event.repository.visibility == 'public' && steps.run_clang_tidy.outcome != 'success' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
path: ${{ env.OUTPUT_FILE }}
archive: false
retention-days: 30
- name: Check for changes
id: files_changed
continue-on-error: true
run: |
git diff --exit-code
- name: Fix style
if: ${{ steps.files_changed.outcome != 'success' }}
run: |
pre-commit run --all-files || true
- name: Generate git diff
if: ${{ steps.files_changed.outcome != 'success' }}
run: |
git diff | tee "${DIFF_FILE}"
- name: Upload clang-tidy diff output
if: ${{ github.event.repository.visibility == 'public' && steps.files_changed.outcome != 'success' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
path: ${{ env.DIFF_FILE }}
archive: false
retention-days: 30
- name: Write issue header
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
cat >"${ISSUE_FILE}" <<EOF
## Clang-tidy Check Failed
### Clang-tidy Output:
\`\`\`
EOF
- name: Append clang-tidy output to issue body (filter for errors and warnings)
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
if [ -f "${OUTPUT_FILE}" ]; then
# Extract lines containing 'error:', 'warning:', or 'note:'
grep -E '(error:|warning:|note:)' "${OUTPUT_FILE}" >filtered-output.txt || true
# If filtered output is empty, use original (might be a different error format)
if [ ! -s filtered-output.txt ]; then
cp "${OUTPUT_FILE}" filtered-output.txt
fi
# Truncate if too large
head -c 60000 filtered-output.txt >>"${ISSUE_FILE}"
if [ "$(wc -c <filtered-output.txt)" -gt 60000 ]; then
echo "" >>"${ISSUE_FILE}"
echo "... (output truncated, see artifacts for full output)" >>"${ISSUE_FILE}"
fi
rm filtered-output.txt
else
echo "No output file found" >>"${ISSUE_FILE}"
fi
- name: Append issue footer
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
cat >>"${ISSUE_FILE}" <<EOF
\`\`\`
---
*This issue was automatically created by the clang-tidy workflow.*
EOF
- name: Create issue
if: ${{ steps.run_clang_tidy.outcome != 'success' && inputs.create_issue_on_failure }}
uses: XRPLF/actions/create-issue@2b8bc36af85b88bca0dd7bfac2e2dc05f94ad712
with:
title: "Clang-tidy check failed"
body_file: ${{ env.ISSUE_FILE }}
labels: "Bug,Clang-tidy"
assignees: "godexsoft,mathbunnyru"
- name: Fail if clang-tidy found issues
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
echo "Clang-tidy check failed!"
exit 1
run-clang-tidy:
needs: [determine-files]
if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.any_changed == 'true') }}
uses: ./.github/workflows/reusable-clang-tidy-files.yml
with:
files: ${{ inputs.check_only_changed && needs.determine-files.outputs.all_changed_files || '' }}
create_issue_on_failure: ${{ inputs.create_issue_on_failure }}

View File

@@ -1,97 +0,0 @@
# Build Linux packages (DEB and RPM) from pre-built binary artifacts.
# Discovers which configurations to package from linux.json (configs in
# "package_configs") and fans out one job per distro. Only linux/amd64 is
# supported; the runner is hardcoded in the job below.
name: Package
on:
workflow_call:
inputs:
pkg_release:
description: "Package release number. Increment when repackaging the same executable."
required: false
type: string
default: "1"
defaults:
run:
shell: bash
env:
BUILD_DIR: build
jobs:
generate-matrix:
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.13"
- name: Generate packaging matrix
id: generate
working-directory: .github/scripts/strategy-matrix
run: ./generate.py --packaging >>"${GITHUB_OUTPUT}"
generate-version:
runs-on: ubuntu-latest
outputs:
version: ${{ steps.version.outputs.version }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
with:
sparse-checkout: |
.github/actions/generate-version
src/libxrpl/protocol/BuildInfo.cpp
- name: Generate version
id: version
uses: ./.github/actions/generate-version
package:
needs: [generate-matrix, generate-version]
if: ${{ github.event.repository.visibility == 'public' }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
name: "${{ matrix.artifact_name }}"
permissions:
contents: read
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: ${{ matrix.image }}
timeout-minutes: 30
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- name: Download pre-built binary
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: ${{ matrix.artifact_name }}
path: ${{ env.BUILD_DIR }}
- name: Make binary executable
run: chmod +x "${BUILD_DIR}/xrpld"
- name: Build package
env:
PKG_VERSION: ${{ needs.generate-version.outputs.version }}
PKG_RELEASE: ${{ inputs.pkg_release }}
run: ./package/build_pkg.sh
- name: Upload package artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: ${{ matrix.artifact_name }}-pkg-${{ needs.generate-version.outputs.version }}
path: |
${{ env.BUILD_DIR }}/debbuild/*.deb
${{ env.BUILD_DIR }}/debbuild/*.ddeb
${{ env.BUILD_DIR }}/rpmbuild/RPMS/**/*.rpm
if-no-files-found: error

View File

@@ -4,9 +4,15 @@ on:
workflow_call:
inputs:
os:
description: 'The operating system to use for the build ("linux", "macos", "windows", or empty for all).'
description: 'The operating system to use for the build ("linux", "macos", "windows").'
required: false
type: string
strategy_matrix:
# TODO: Support additional strategies, e.g. "ubuntu" for generating all Ubuntu configurations.
description: 'The strategy matrix to use for generating the configurations ("minimal", "all").'
required: false
type: string
default: "minimal"
outputs:
matrix:
description: "The generated strategy matrix."
@@ -23,17 +29,17 @@ jobs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.13"
python-version: 3.13
- name: Generate strategy matrix
working-directory: .github/scripts/strategy-matrix
id: generate
env:
GENERATE_CONFIG: ${{ inputs.os != '' && format('--config={0}', inputs.os) || '' }}
GENERATE_EVENT: ${{ github.event_name }}
run: ./generate.py ${GENERATE_CONFIG} --event="${GENERATE_EVENT}" >>"${GITHUB_OUTPUT}"
GENERATE_CONFIG: ${{ inputs.os != '' && format('--config={0}.json', inputs.os) || '' }}
GENERATE_OPTION: ${{ inputs.strategy_matrix == 'all' && '--all' || '' }}
run: ./generate.py ${GENERATE_OPTION} ${GENERATE_CONFIG} >> "${GITHUB_OUTPUT}"

View File

@@ -40,10 +40,10 @@ defaults:
jobs:
upload:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-63ffdc3
container: ghcr.io/xrplf/ci/ubuntu-noble:gcc-13-sha-5dd7158
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Generate build version number
id: version
@@ -69,30 +69,24 @@ jobs:
conan export . --version=${{ steps.version.outputs.version }}
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/${{ steps.version.outputs.version }}
# When this workflow is triggered by a push event, it will always be when merging into the
# 'develop' branch, see on-trigger.yml.
- name: Upload Conan recipe (develop)
if: ${{ github.event_name == 'push' }}
if: ${{ github.ref == 'refs/heads/develop' }}
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |
conan export . --version=develop
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/develop
# When this workflow is triggered by a pull request event, it will always be when merging into
# one of the 'release' branches, see on-pr.yml.
- name: Upload Conan recipe (rc)
if: ${{ github.event_name == 'pull_request' }}
if: ${{ startsWith(github.ref, 'refs/heads/release') }}
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |
conan export . --version=rc
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/rc
# When this workflow is triggered by a push event, it will always be when tagging a final
# release, see on-tag.yml.
- name: Upload Conan recipe (release)
if: ${{ startsWith(github.ref, 'refs/tags/') }}
if: ${{ github.event_name == 'tag' }}
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |

View File

@@ -30,7 +30,6 @@ on:
- ".github/scripts/strategy-matrix/**"
- conanfile.py
- conan.lock
- conan/profiles/**
env:
CONAN_REMOTE_NAME: xrplf
@@ -49,6 +48,8 @@ jobs:
# Generate the strategy matrix to be used by the following job.
generate-matrix:
uses: ./.github/workflows/reusable-strategy-matrix.yml
with:
strategy_matrix: ${{ github.event_name == 'pull_request' && 'minimal' || 'all' }}
# Build and upload the dependencies for each configuration.
run-upload-conan-deps:
@@ -57,23 +58,24 @@ jobs:
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
max-parallel: 10
runs-on: ${{ matrix.architecture.runner }}
container: ${{ matrix.image || null }}
container: ${{ contains(matrix.architecture.platform, 'linux') && format('ghcr.io/xrplf/ci/{0}-{1}:{2}-{3}-sha-{4}', matrix.os.distro_name, matrix.os.distro_version, matrix.os.compiler_name, matrix.os.compiler_version, matrix.os.image_sha) || null }}
steps:
- name: Cleanup workspace (macOS and Windows)
if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
uses: XRPLF/actions/cleanup-workspace@cf0433aa74563aead044a1e395610c96d65a37cf
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
uses: XRPLF/actions/prepare-runner@2cbf481018d930656e9276fcc20dc0e3a0be5b6d
with:
enable_ccache: false
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
uses: ./.github/actions/print-env
- name: Get number of processors
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
@@ -81,12 +83,6 @@ jobs:
with:
subtract: ${{ env.NPROC_SUBTRACT }}
- name: Set compiler environment (Linux)
if: ${{ runner.os == 'Linux' }}
uses: ./.github/actions/set-compiler-env
with:
compiler: ${{ matrix.compiler }}
- name: Setup Conan
env:
SANITIZERS: ${{ matrix.sanitizers }}
@@ -107,11 +103,11 @@ jobs:
sanitizers: ${{ matrix.sanitizers }}
- name: Log into Conan remote
if: ${{ github.repository == 'XRPLF/rippled' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch') }}
if: ${{ github.repository_owner == 'XRPLF' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch') }}
run: conan remote login "${CONAN_REMOTE_NAME}" "${{ secrets.CONAN_REMOTE_USERNAME }}" --password "${{ secrets.CONAN_REMOTE_PASSWORD }}"
- name: Upload Conan packages
if: ${{ github.repository == 'XRPLF/rippled' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch') }}
if: ${{ github.repository_owner == 'XRPLF' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch') }}
env:
FORCE_OPTION: ${{ github.event.inputs.force_upload == 'true' && '--force' || '' }}
run: conan upload "*" --remote="${CONAN_REMOTE_NAME}" --confirm ${FORCE_OPTION}

6
.gitignore vendored
View File

@@ -13,7 +13,6 @@
Debug/
Release/
/.build/
/.venv/
/build/
/db/
/out.txt
@@ -72,15 +71,10 @@ DerivedData
/.zed/
# AI tools.
/.agent
/.agents
/.augment
/.claude
/CLAUDE.md
# Python
__pycache__
# Direnv's directory
/.direnv

View File

@@ -13,81 +13,40 @@ repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: 3e8a8703264a2f4a69428a0aa4dcb512790b2c8c # frozen: v6.0.0
hooks:
- id: check-added-large-files
args: [--maxkb=400, --enforce-all]
- id: trailing-whitespace
- id: end-of-file-fixer
- id: mixed-line-ending
- id: check-merge-conflict
args: [--assume-in-merge]
- repo: local
hooks:
- id: clang-tidy
name: "clang-tidy (enable with: TIDY=1)"
entry: ./bin/pre-commit/clang_tidy_check.py
language: python
types_or: [c++, c]
exclude: ^include/xrpl/protocol_autogen
pass_filenames: false # script determines the staged files itself
- id: fix-include-style
name: fix include style
entry: ./bin/pre-commit/fix_include_style.py
language: python
types_or: [c++, c]
exclude: ^include/xrpl/protocol_autogen/(transactions|ledger_entries)/
- repo: https://github.com/pre-commit/mirrors-clang-format
rev: dd18dad857d6133e90bbe478f4f2f22ec0030269 # frozen: v22.1.5
rev: 75ca4ad908dc4a99f57921f29b7e6c1521e10b26 # frozen: v21.1.8
hooks:
- id: clang-format
args: [--style=file]
"types_or": [c++, c, proto]
exclude: ^include/xrpl/protocol_autogen/(transactions|ledger_entries)/
- repo: https://github.com/BlankSpruce/gersemi-pre-commit
rev: faadd6a9d852369ca94f4d15b2404c967ba8cb01 # frozen: 0.27.6
- repo: https://github.com/cheshirekow/cmake-format-precommit
rev: e2c2116d86a80e72e7146a06e68b7c228afc6319 # frozen: v0.6.13
hooks:
- id: gersemi
- id: cmake-format
additional_dependencies: [PyYAML]
- repo: https://github.com/rbubley/mirrors-prettier
rev: 515f543f5718ebfd6ce22e16708bb32c68ff96e1 # frozen: v3.8.3
rev: 5ba47274f9b181bce26a5150a725577f3c336011 # frozen: v3.6.2
hooks:
- id: prettier
args: [--end-of-line=auto]
- repo: https://github.com/psf/black-pre-commit-mirror
rev: 4160603246a6b365d4a2af661c6d71b0a0f50478 # frozen: 26.5.1
rev: 831207fd435b47aeffdf6af853097e64322b4d44 # frozen: v25.12.0
hooks:
- id: black
- repo: https://github.com/scop/pre-commit-shfmt
rev: 05c1426671b9237fb5e1444dd63aa5731bec0dfb # frozen: v3.13.1-1
hooks:
- id: shfmt
args: [--write, --indent=4, --case-indent=true]
- repo: local
hooks:
- id: format-inline-bash-workflows
name: "format `run:` blocks in workflows/actions"
entry: ./.github/scripts/format-inline-bash.py
language: python
files: ^\.github/(workflows|actions)/.*\.ya?ml$
- id: format-inline-bash-markdown
name: "format ```bash blocks in markdown"
entry: ./.github/scripts/format-inline-bash.py
language: python
files: \.md$
- repo: https://github.com/streetsidesoftware/cspell-cli
rev: 4643f154907327ee0a2c7038f0296e0dd77d9776 # frozen: v10.0.0
rev: 1cfa010f078c354f3ffb8413616280cc28f5ba21 # frozen: v9.4.0
hooks:
- id: cspell # Spell check changed files
exclude: |
(?x)^(
.config/cspell.config.yaml|
include/xrpl/protocol_autogen/(transactions|ledger_entries)/.*
)$
exclude: .config/cspell.config.yaml
- id: cspell # Spell check the commit message
name: check commit message spelling
args:
@@ -102,15 +61,7 @@ repos:
hooks:
- id: nix-fmt
name: Format Nix files
entry: |
bash -c '
if command -v nix &> /dev/null || [ "$GITHUB_ACTIONS" = "true" ]; then
nix --extra-experimental-features "nix-command flakes" fmt "$@"
else
echo "Skipping nix-fmt: nix not installed and not in GitHub Actions"
exit 0
fi
' --
entry: nix --extra-experimental-features 'nix-command flakes' fmt
language: system
types:
- nix
@@ -119,6 +70,5 @@ repos:
exclude: |
(?x)^(
external/.*|
.github/scripts/levelization/results/.*\.txt|
src/tests/libxrpl/protocol_autogen/(transactions|ledger_entries)/.*
.github/scripts/levelization/results/.*\.txt
)$

View File

@@ -4,52 +4,23 @@ This changelog is intended to list all updates to the [public API methods](https
For info about how [API versioning](https://xrpl.org/request-formatting.html#api-versioning) works, including examples, please view the [XLS-22d spec](https://github.com/XRPLF/XRPL-Standards/discussions/54). For details about the implementation of API versioning, view the [implementation PR](https://github.com/XRPLF/rippled/pull/3155). API versioning ensures existing integrations and users continue to receive existing behavior, while those that request a higher API version will experience new behavior.
The API version controls the API behavior you see. This includes what properties you see in responses, what parameters you're permitted to send in requests, and so on. You specify the API version in each of your requests. When a breaking change is introduced to the `xrpld` API, a new version is released. To avoid breaking your code, you should set (or increase) your version when you're ready to upgrade.
The API version controls the API behavior you see. This includes what properties you see in responses, what parameters you're permitted to send in requests, and so on. You specify the API version in each of your requests. When a breaking change is introduced to the `rippled` API, a new version is released. To avoid breaking your code, you should set (or increase) your version when you're ready to upgrade.
The [commandline](https://xrpl.org/docs/references/http-websocket-apis/api-conventions/request-formatting/#commandline-format) always uses the latest API version. The command line is intended for ad-hoc usage by humans, not programs or automated scripts. The command line is not meant for use in production code.
For a log of breaking changes, see the **API Version [number]** headings. In general, breaking changes are associated with a particular API Version number. For non-breaking changes, scroll to the **XRP Ledger version [x.y.z]** headings. Non-breaking changes are associated with a particular XRP Ledger (`xrpld`) release.
For a log of breaking changes, see the **API Version [number]** headings. In general, breaking changes are associated with a particular API Version number. For non-breaking changes, scroll to the **XRP Ledger version [x.y.z]** headings. Non-breaking changes are associated with a particular XRP Ledger (`rippled`) release.
## API Version 3 (Beta)
API version 3 is currently a beta API. It requires enabling `[beta_rpc_api]` in the xrpld configuration to use. See [API-VERSION-3.md](API-VERSION-3.md) for the full list of changes in API version 3.
API version 3 is currently a beta API. It requires enabling `[beta_rpc_api]` in the rippled configuration to use. See [API-VERSION-3.md](API-VERSION-3.md) for the full list of changes in API version 3.
## API Version 2
API version 2 is available in `xrpld` version 2.0.0 and later. See [API-VERSION-2.md](API-VERSION-2.md) for the full list of changes in API version 2.
API version 2 is available in `rippled` version 2.0.0 and later. See [API-VERSION-2.md](API-VERSION-2.md) for the full list of changes in API version 2.
## API Version 1
This version is supported by all `xrpld` versions. For WebSocket and HTTP JSON-RPC requests, it is currently the default API version used when no `api_version` is specified.
## Unreleased
This section contains changes targeting a future version.
### Additions
- `ledger_entry`, `account_objects`: The `Delegate` ledger entry now includes an optional `DestinationNode` field, which stores the index into the authorized account's owner directory. This field is present on entries created after bidirectional directory tracking was introduced and may appear in RPC responses for those entries. ([#6681](https://github.com/XRPLF/rippled/pull/6681))
- `server_definitions`: Added the following new sections to the response ([#6321](https://github.com/XRPLF/rippled/pull/6321)):
- `TRANSACTION_FORMATS`: Describes the fields and their optionality for each transaction type, including common fields shared across all transactions.
- `LEDGER_ENTRY_FORMATS`: Describes the fields and their optionality for each ledger entry type, including common fields shared across all ledger entries.
- `TRANSACTION_FLAGS`: Maps transaction type names to their supported flags and flag values.
- `LEDGER_ENTRY_FLAGS`: Maps ledger entry type names to their flags and flag values.
- `ACCOUNT_SET_FLAGS`: Maps AccountSet flag names (asf flags) to their numeric values.
### Bugfixes
- Peer Crawler: The `port` field in `overlay.active[]` now consistently returns an integer instead of a string for outbound peers. [#6318](https://github.com/XRPLF/rippled/pull/6318)
- `ping`: The `ip` field is no longer returned as an empty string for proxied connections without a forwarded-for header. It is now omitted, consistent with the behavior for identified connections. [#6730](https://github.com/XRPLF/rippled/pull/6730)
- gRPC `GetLedgerDiff`: Fixed error message that incorrectly said "base ledger not validated" when the desired ledger was not validated. [#6730](https://github.com/XRPLF/rippled/pull/6730)
- `account_channels`: The `destination_account` field now returns an error if the value is not a string. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- `subscribe`: The `taker` field in the `books` array now returns an error if the value is not a string. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- `account_info`: The `urlgravatar` field now uses HTTPS instead of HTTP. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- `ledger`: The `full`, `accounts`, `transactions`, `expand`, `binary`, `owner_funds`, and `queue` fields now return an error if the value is not a boolean. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- `ledger_data`: The `binary` field now returns an error if the value is not a boolean. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- `submit`: The `fail_hard` field now returns an error if the value is not a boolean. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- `subscribe`: The `taker` field in the `books` array now returns `actMalformed` instead of `badIssuer` if the value is not a valid account. [#6529](https://github.com/XRPLF/rippled/pull/6529)
- Fixed a bug in `Forwarded` HTTP header parsing where the extracted IP address could be incorrect when no comma or semicolon delimiter follows the address. This could cause the server to misidentify a client's IP address when operating behind a reverse proxy. [#6529](https://github.com/XRPLF/rippled/pull/6529)
This version is supported by all `rippled` versions. For WebSocket and HTTP JSON-RPC requests, it is currently the default API version used when no `api_version` is specified.
## XRP Ledger server version 3.1.0

View File

@@ -1,6 +1,6 @@
# API Version 2
API version 2 is available in `xrpld` version 2.0.0 and later. To use this API, clients specify `"api_version" : 2` in each request.
API version 2 is available in `rippled` version 2.0.0 and later. To use this API, clients specify `"api_version" : 2` in each request.
For info about how [API versioning](https://xrpl.org/request-formatting.html#api-versioning) works, including examples, please view the [XLS-22d spec](https://github.com/XRPLF/XRPL-Standards/discussions/54). For details about the implementation of API versioning, view the [implementation PR](https://github.com/XRPLF/rippled/pull/3155). API versioning ensures existing integrations and users continue to receive existing behavior, while those that request a higher API version will experience new behavior.

View File

@@ -1,6 +1,6 @@
# API Version 3
API version 3 is currently a **beta API**. It requires enabling `[beta_rpc_api]` in the xrpld configuration to use. To use this API, clients specify `"api_version" : 3` in each request.
API version 3 is currently a **beta API**. It requires enabling `[beta_rpc_api]` in the rippled configuration to use. To use this API, clients specify `"api_version" : 3` in each request.
For info about how [API versioning](https://xrpl.org/request-formatting.html#api-versioning) works, including examples, please view the [XLS-22d spec](https://github.com/XRPLF/XRPL-Standards/discussions/54). For details about the implementation of API versioning, view the [implementation PR](https://github.com/XRPLF/rippled/pull/3155). API versioning ensures existing integrations and users continue to receive existing behavior, while those that request a higher API version will experience new behavior.

127
BUILD.md
View File

@@ -45,14 +45,14 @@ found here](./docs/build/environment.md).
It is possible to build with Conan 1.60+, but the instructions are
significantly different, which is why we are not recommending it.
`xrpld` is written in the C++23 dialect and includes the `<concepts>` header.
The [tested compiler versions][2] are:
`xrpld` is written in the C++20 dialect and includes the `<concepts>` header.
The [minimum compiler versions][2] required are:
| Compiler | Version |
| ----------- | --------- |
| GCC | 15 |
| Clang | 22 |
| Apple Clang | 17 |
| GCC | 12 |
| Clang | 16 |
| Apple Clang | 16 |
| MSVC | 19.44[^3] |
### Linux
@@ -125,9 +125,9 @@ default profile.
### Patched recipes
Occasionally, we need patched recipes or recipes not present in Conan Center.
We maintain a fork of the Conan Center Index
[here](https://github.com/XRPLF/conan-center-index/) containing the modified and newly added recipes.
The recipes in Conan Center occasionally need to be patched for compatibility
with the latest version of `xrpld`. We maintain a fork of the Conan Center
[here](https://github.com/XRPLF/conan-center-index/) containing the patches.
To ensure our patched recipes are used, you must add our Conan remote at a
higher index than the default Conan Center remote, so it is consulted first. You
@@ -137,11 +137,19 @@ can do this by running:
conan remote add --index 0 xrplf https://conan.ripplex.io
```
Alternatively, you can pull our recipes from the repository and export them locally:
Alternatively, you can pull the patched recipes into the repository and use them
locally:
```bash
# Extract the version number from the lockfile.
function extract_version {
version=$(cat conan.lock | sed -nE "s@.+${1}/(.+)#.+@\1@p" | head -n1)
echo ${version}
}
# Define which recipes to export.
recipes=('abseil' 'ed25519' 'mpt-crypto' 'openssl' 'secp256k1' 'snappy' 'soci' 'wasm-xrplf' 'wasmi')
recipes=('ed25519' 'grpc' 'nudb' 'openssl' 'secp256k1' 'snappy' 'soci')
folders=('all' 'all' 'all' '3.x.x' 'all' 'all' 'all')
# Selectively check out the recipes from our CCI fork.
cd external
@@ -150,19 +158,29 @@ cd conan-center-index
git init
git remote add origin git@github.com:XRPLF/conan-center-index.git
git sparse-checkout init
for recipe in "${recipes[@]}"; do
echo "Checking out recipe '${recipe}'..."
git sparse-checkout add recipes/${recipe}
for ((index = 1; index <= ${#recipes[@]}; index++)); do
recipe=${recipes[index]}
folder=${folders[index]}
echo "Checking out recipe '${recipe}' from folder '${folder}'..."
git sparse-checkout add recipes/${recipe}/${folder}
done
git fetch origin master
git checkout master
cd ../..
./export_all.sh
cd ../../
# Export the recipes into the local cache.
for ((index = 1; index <= ${#recipes[@]}; index++)); do
recipe=${recipes[index]}
folder=${folders[index]}
version=$(extract_version ${recipe})
echo "Exporting '${recipe}/${version}' from '${recipe}/${folder}'..."
conan export --version $(extract_version ${recipe}) \
external/conan-center-index/recipes/${recipe}/${folder}
done
```
In the case we switch to a newer version of a dependency that still requires a
patch or add a new dependency, it will be necessary for you to pull in the changes and re-export the
patch, it will be necessary for you to pull in the changes and re-export the
updated dependencies with the newer version. However, if we switch to a newer
version that no longer requires a patch, no action is required on your part, as
the new recipe will be automatically pulled from the official Conan Center.
@@ -171,8 +189,6 @@ the new recipe will be automatically pulled from the official Conan Center.
> You might need to add `--lockfile=""` to your `conan install` command
> to avoid automatic use of the existing `conan.lock` file when you run
> `conan export` manually on your machine
>
> This is not recommended though, as you might end up using different revisions of recipes.
### Conan profile tweaks
@@ -180,7 +196,7 @@ the new recipe will be automatically pulled from the official Conan Center.
If you see an error similar to the following after running `conan profile show`:
```text
```bash
ERROR: Invalid setting '17' is not a valid 'settings.compiler.version' value.
Possible values are ['5.0', '5.1', '6.0', '6.1', '7.0', '7.3', '8.0', '8.1',
'9.0', '9.1', '10.0', '11.0', '12.0', '13', '13.0', '13.1', '14', '14.0', '15',
@@ -188,14 +204,39 @@ Possible values are ['5.0', '5.1', '6.0', '6.1', '7.0', '7.3', '8.0', '8.1',
Read "http://docs.conan.io/2/knowledge/faq.html#error-invalid-setting"
```
you need to add your compiler to the list of compiler versions in
`$(conan config home)/settings_user.yml`, by adding the required version number(s)
you need to amend the list of compiler versions in
`$(conan config home)/settings.yml`, by appending the required version number(s)
to the `version` array specific for your compiler. For example:
```yaml
compiler:
apple-clang:
version: ["17.0"]
apple-clang:
version:
[
"5.0",
"5.1",
"6.0",
"6.1",
"7.0",
"7.3",
"8.0",
"8.1",
"9.0",
"9.1",
"10.0",
"11.0",
"12.0",
"13",
"13.0",
"13.1",
"14",
"14.0",
"15",
"15.0",
"16",
"16.0",
"17",
"17.0",
]
```
#### Multiple compilers
@@ -232,11 +273,11 @@ name and then creating a new `default` profile for a different compiler.
#### Select language
The default profile created by Conan will typically select different C++ dialect
than C++23 used by this project. You should set `23` in the profile line
than C++20 used by this project. You should set `20` in the profile line
starting with `compiler.cppstd=`. For example:
```bash
sed -i.bak -e 's|^compiler\.cppstd=.*$|compiler.cppstd=23|' $(conan config home)/profiles/default
sed -i.bak -e 's|^compiler\.cppstd=.*$|compiler.cppstd=20|' $(conan config home)/profiles/default
```
#### Select standard library in Linux
@@ -427,19 +468,16 @@ install ccache --version 4.11.3 --allow-downgrade`.
Single-config generators:
```
cmake --build . --parallel N
cmake --build .
```
Multi-config generators:
```
cmake --build . --config Release --parallel N
cmake --build . --config Debug --parallel N
cmake --build . --config Release
cmake --build . --config Debug
```
Replace the `--parallel` parameter N with the desired number of parallel jobs. A common starting point is half of the number of available CPU
cores.
5. Test xrpld.
Single-config generators:
@@ -462,21 +500,6 @@ install ccache --version 4.11.3 --allow-downgrade`.
The location of `xrpld` binary in your build directory depends on your
CMake generator. Pass `--help` to see the rest of the command line options.
## Code generation
The protocol wrapper classes in `include/xrpl/protocol_autogen/` are generated
from macro definition files in `include/xrpl/protocol/detail/`. If you modify
the macro files (e.g. `transactions.macro`, `ledger_entries.macro`) or the
generation scripts/templates in `cmake/scripts/codegen/`, you need to regenerate the
files:
```
cmake --build . --target setup_code_gen # create venv and install dependencies (once)
cmake --build . --target code_gen # regenerate code
```
The regenerated files should be committed alongside your changes.
## Coverage report
The coverage report is intended for developers using compilers GCC
@@ -533,15 +556,15 @@ stored inside the build directory, as either of:
## Sanitizers
To build dependencies and xrpld with sanitizer instrumentation, set the
`SANITIZERS` environment variable when running `conan install` and use the `sanitizers` profile:
`SANITIZERS` environment variable (only once before running conan and cmake) and use the `sanitizers` profile in conan:
```bash
export SANITIZERS=address,undefinedbehavior
conan install .. --output-folder . --profile:all sanitizers --build missing --settings build_type=Debug
```
You can then build and test as usual, with the generated `xrpld` binary containing the sanitizer instrumentation. When you run it, it will report any sanitizer errors it detects in the console output.
cmake -DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake -DCMAKE_BUILD_TYPE=Debug -Dxrpld=ON -Dtests=ON ..
```
See [Sanitizers docs](./docs/build/sanitizers.md) for more details.
@@ -621,8 +644,8 @@ If you want to experiment with a new package, follow these steps:
`default_options` property (with syntax `'$package:$option': $value`).
3. Modify [`CMakeLists.txt`](./CMakeLists.txt):
- Add a call to `find_package($package REQUIRED)`.
- Link a library from the package to the target `xrpl_libs`
(search for the existing call to `target_link_libraries(xrpl_libs INTERFACE ...)`).
- Link a library from the package to the target `ripple_libs`
(search for the existing call to `target_link_libraries(ripple_libs INTERFACE ...)`).
4. Start coding! Don't forget to include whatever headers you need from the package.
[1]: https://github.com/conan-io/conan-center-index/issues/13168

View File

@@ -1,84 +1,97 @@
cmake_minimum_required(VERSION 3.16)
if(POLICY CMP0074)
if (POLICY CMP0074)
cmake_policy(SET CMP0074 NEW)
endif()
if(POLICY CMP0077)
endif ()
if (POLICY CMP0077)
cmake_policy(SET CMP0077 NEW)
endif()
endif ()
# Fix "unrecognized escape" issues when passing CMAKE_MODULE_PATH on Windows.
if(DEFINED CMAKE_MODULE_PATH)
if (DEFINED CMAKE_MODULE_PATH)
file(TO_CMAKE_PATH "${CMAKE_MODULE_PATH}" CMAKE_MODULE_PATH)
endif()
endif ()
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
project(xrpl)
set(CMAKE_CXX_EXTENSIONS OFF)
set(CMAKE_CXX_STANDARD 23)
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
include(CompilationEnv)
if(is_gcc)
if (is_gcc)
# GCC-specific fixes
add_compile_options(-Wno-unknown-pragmas -Wno-subobject-linkage)
# -Wno-subobject-linkage can be removed when we upgrade GCC version to at least 13.3
elseif(is_clang)
elseif (is_clang)
# Clang-specific fixes
add_compile_options(-Wno-unknown-warning-option) # Ignore unknown warning options
elseif(is_msvc)
elseif (is_msvc)
# MSVC-specific fixes
add_compile_options(/wd4068) # Ignore unknown pragmas
endif()
endif ()
# Enable ccache to speed up builds.
include(Ccache)
if(thread_safety_analysis)
add_compile_options(
-Wthread-safety
-D_LIBCPP_ENABLE_THREAD_SAFETY_ANNOTATIONS
-DXRPL_ENABLE_THREAD_SAFETY_ANNOTATIONS
)
# make GIT_COMMIT_HASH define available to all sources
find_package(Git)
if (Git_FOUND)
execute_process(COMMAND ${GIT_EXECUTABLE} --git-dir=${CMAKE_CURRENT_SOURCE_DIR}/.git rev-parse
HEAD OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE gch)
if (gch)
set(GIT_COMMIT_HASH "${gch}")
message(STATUS gch: ${GIT_COMMIT_HASH})
add_definitions(-DGIT_COMMIT_HASH="${GIT_COMMIT_HASH}")
endif ()
execute_process(COMMAND ${GIT_EXECUTABLE} --git-dir=${CMAKE_CURRENT_SOURCE_DIR}/.git rev-parse
--abbrev-ref HEAD OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE gb)
if (gb)
set(GIT_BRANCH "${gb}")
message(STATUS gb: ${GIT_BRANCH})
add_definitions(-DGIT_BRANCH="${GIT_BRANCH}")
endif ()
endif () # git
if (thread_safety_analysis)
add_compile_options(-Wthread-safety -D_LIBCPP_ENABLE_THREAD_SAFETY_ANNOTATIONS
-DXRPL_ENABLE_THREAD_SAFETY_ANNOTATIONS)
add_compile_options("-stdlib=libc++")
add_link_options("-stdlib=libc++")
endif()
endif ()
include(CheckCXXCompilerFlag)
include(FetchContent)
include(ExternalProject)
include(CMakeFuncs) # must come *after* ExternalProject b/c it overrides one function in EP
if(target)
message(
FATAL_ERROR
"The target option has been removed - use native cmake options to control build"
if (target)
message(FATAL_ERROR "The target option has been removed - use native cmake options to control build"
)
endif()
endif ()
include(XrplSanity)
include(XrplVersion)
include(XrplSettings)
# this check has to remain in the top-level cmake because of the early return statement
if(packages_only)
if(NOT TARGET rpm)
message(
FATAL_ERROR
"packages_only requested, but targets were not created - is docker installed?"
if (packages_only)
if (NOT TARGET rpm)
message(FATAL_ERROR "packages_only requested, but targets were not created - is docker installed?"
)
endif()
endif ()
return()
endif()
endif ()
include(XrplCompiler)
include(XrplSanitizers)
include(XrplInterface)
option(only_docs "Include only the docs target?" FALSE)
include(XrplDocs)
if(only_docs)
if (only_docs)
return()
endif()
endif ()
include(deps/Boost)
@@ -97,59 +110,42 @@ find_package(xxHash REQUIRED)
target_link_libraries(
xrpl_libs
INTERFACE
ed25519::ed25519
lz4::lz4
OpenSSL::Crypto
OpenSSL::SSL
secp256k1::secp256k1
soci::soci
SQLite::SQLite3
)
INTERFACE ed25519::ed25519
lz4::lz4
OpenSSL::Crypto
OpenSSL::SSL
secp256k1::secp256k1
soci::soci
SQLite::SQLite3)
option(rocksdb "Enable RocksDB" ON)
if(rocksdb)
if (rocksdb)
find_package(RocksDB REQUIRED)
set_target_properties(
RocksDB::rocksdb
PROPERTIES INTERFACE_COMPILE_DEFINITIONS XRPL_ROCKSDB_AVAILABLE=1
)
set_target_properties(RocksDB::rocksdb PROPERTIES INTERFACE_COMPILE_DEFINITIONS
XRPL_ROCKSDB_AVAILABLE=1)
target_link_libraries(xrpl_libs INTERFACE RocksDB::rocksdb)
endif()
# OpenTelemetry distributed tracing (optional).
# When ON, links against opentelemetry-cpp and defines XRPL_ENABLE_TELEMETRY
# so that SpanGuard factory methods produce real OTel spans.
# When OFF (default), all tracing code compiles to no-ops with zero overhead.
# Enable via: conan install -o telemetry=True, or cmake -Dtelemetry=ON.
option(telemetry "Enable OpenTelemetry tracing" ON)
if(telemetry)
find_package(opentelemetry-cpp CONFIG REQUIRED)
add_compile_definitions(XRPL_ENABLE_TELEMETRY)
message(STATUS "OpenTelemetry tracing enabled")
endif()
endif ()
# Work around changes to Conan recipe for now.
if(TARGET nudb::core)
if (TARGET nudb::core)
set(nudb nudb::core)
elseif(TARGET NuDB::nudb)
elseif (TARGET NuDB::nudb)
set(nudb NuDB::nudb)
else()
else ()
message(FATAL_ERROR "unknown nudb target")
endif()
endif ()
target_link_libraries(xrpl_libs INTERFACE ${nudb})
if(coverage)
if (coverage)
include(XrplCov)
endif()
endif ()
set(PROJECT_EXPORT_SET XrplExports)
include(XrplCore)
include(XrplProtocolAutogen)
include(XrplInstall)
include(XrplPackaging)
include(XrplValidatorKeys)
if(tests)
if (tests)
include(CTest)
add_subdirectory(src/tests/libxrpl)
endif()
endif ()

View File

@@ -127,6 +127,26 @@ tl;dr
> 6. Wrap the body at 72 characters.
> 7. Use the body to explain what and why vs. how.
In addition to those guidelines, please add one of the following
prefixes to the subject line if appropriate.
- `fix:` - The primary purpose is to fix an existing bug.
- `perf:` - The primary purpose is performance improvements.
- `refactor:` - The changes refactor code without affecting
functionality.
- `test:` - The changes _only_ affect unit tests.
- `docs:` - The changes _only_ affect documentation. This can
include code comments in addition to `.md` files like this one.
- `build:` - The changes _only_ affect the build process,
including CMake and/or Conan settings.
- `chore:` - Other tasks that don't affect the binary, but don't fit
any of the other cases. e.g. formatting, git settings, updating
Github Actions jobs.
Whenever possible, when updating commits after the PR is open, please
add the PR number to the end of the subject line. e.g. `test: Add
unit tests for Feature X (#1234)`.
## Pull requests
In general, pull requests use `develop` as the base branch.
@@ -160,23 +180,6 @@ credibility of the existing approvals is insufficient.
Pull requests must be merged by [squash-and-merge][squash]
to preserve a linear history for the `develop` branch.
### Type of Change
In addition to those guidelines, please start your PR title with one of the following:
- `build:` - The changes _only_ affect the build process, including CMake and/or Conan settings.
- `feat`: New feature (change which adds functionality).
- `fix:` - The primary purpose is to fix an existing bug.
- `docs:` - The changes _only_ affect documentation.
- `test:` - The changes _only_ affect unit tests.
- `ci`: Continuous Integration (changes to our CI configuration files and scripts).
- `style`: Code style (formatting).
- `refactor:` - The changes refactor code without affecting functionality.
- `perf:` - The primary purpose is performance improvements.
- `chore:` - Other tasks that don't affect the binary, but don't fit any of the other cases. e.g. `git` settings, `clang-tidy`, removing dead code, dropping support for older tooling.
First letter after the type prefix should be capitalized, and the type prefix should be followed by a colon and a space. e.g. `feat: Add support for Borrowing Protocol`.
### "Ready to merge"
A pull request should only have the "Ready to merge" label added when it
@@ -248,118 +251,6 @@ pip3 install pre-commit
pre-commit install
```
## Clang-tidy
All code must pass `clang-tidy` checks according to the settings in [`.clang-tidy`](./.clang-tidy).
There is a Continuous Integration job that runs clang-tidy on pull requests. The CI will check:
- All changed C++ files (`.cpp`, `.h`, `.ipp`) when only code files are modified
- **All files in the repository** when the `.clang-tidy` configuration file is changed
This ensures that configuration changes don't introduce new warnings across the codebase.
### Installing clang-tidy
See the [environment setup guide](./docs/build/environment.md#clang-tidy) for platform-specific installation instructions.
### Running clang-tidy locally
Before running clang-tidy, you must build the project to generate required files (particularly protobuf headers). Refer to [`BUILD.md`](./BUILD.md) for build instructions.
#### Via pre-commit (recommended)
If you have already installed the pre-commit hooks (see above), you can run clang-tidy on your staged files using:
```
TIDY=1 pre-commit run clang-tidy
```
This runs clang-tidy locally with the same configuration/flags as CI, scoped to your staged C++ files. The `TIDY=1` environment variable is required to opt in — without it the hook is skipped.
You can also have clang-tidy run automatically on every `git commit` by setting `TIDY=1` in your shell environment:
```
export TIDY=1
```
With this set, the hook will run as part of `git commit` alongside the other pre-commit checks.
#### Manually
Then run clang-tidy on your local changes:
```
run-clang-tidy -p build -allow-no-checks src tests
```
This will check all source files in the `src`, `include` and `tests` directories using the compile commands from your `build` directory.
If you wish to automatically fix whatever clang-tidy finds _and_ is capable of fixing, add `-fix` to the above command:
```
run-clang-tidy -p build -quiet -fix -allow-no-checks src tests
```
## Telemetry span attribute naming
OpenTelemetry span attribute keys follow these rules so they stay consistent
across the code, the OTel collector, Tempo, Grafana dashboards, and docs. The
constants in the `*SpanNames.h` headers are the single source of truth; every
other layer must match them. A CI check enforces this end to end.
1. Per-span unique attribute: bare field name — allowed when the field is
recorded by a single span/workflow, so the span name already supplies the
domain (e.g. `command`, `local`, `version` on `rpc.command` / `tx.process`).
2. Shared attribute (same concept on more than one span): ONE key, reused
verbatim on every span that records it — the span name tells the occurrences
apart, so no per-emitter prefix is added. Pick the name by the field's
meaning: a property of a domain object keeps that object's bare field name
(`ledger_hash`, `ledger_seq`, `tx_hash`, `peer_id`, `full_validation`); a
field already qualified by a sub-kind keeps that qualifier on every emitter
(`proposal_trusted` on both `consensus.proposal.receive` and
`peer.proposal.receive`; `validation_trusted` likewise). Define it once in
the base `SpanNames.h` `namespace attr` block and re-export (`using`) it from
each domain header, so all emitters share the exact string.
3. Collision qualifier: `<domain>_<field>` — only when a bare name would collide
with a DIFFERENT concept in the shared spanmetrics label space, or with the
OTel-reserved `status` key (e.g. `rpc_status`, `grpc_status`,
`consensus_state`, `consensus_round`). This disambiguates distinct concepts
that share a word; it is NOT used to tag the same concept with the workflow
that emitted it — that is rule 2 (one shared name).
4. Resource attribute: dotted `xrpl.<subsystem>.<field>` — reserved ONLY for
process/network identity set once at startup (`xrpl.network.id`,
`xrpl.network.type`). Never use the dotted `xrpl.` form for span attributes.
5. Span names use `<subsystem>[.<component>]` (dotted). Only attribute _keys_
follow rules 14.
All attribute keys are `lower_snake_case` (lowercase letters, digits, and
underscores; each dot-separated segment of a resource key likewise). No
camelCase, uppercase, or spaces.
Standard OpenTelemetry semantic-convention keys keep their canonical dotted
form (e.g. `service.*` resource attributes, `http.*` span attributes); the
"no dotted form" rule above applies to xrpl-custom keys, not to OTel-standard
conventions.
Always reference the `*SpanNames.h` constants for attribute keys and span
names — never pass a string literal as a key or as a `span`/`childSpan` name
argument. (Attribute _values_ may be runtime data.)
These rules are enforced by `.github/scripts/otel-naming/check_otel_naming.py`,
run in CI on every pull request. The check derives the set of valid keys
directly from the `*SpanNames.h` constants and the resource attributes the code
registers, so there is no separate list to keep in sync. It cross-validates the
collector, Tempo, dashboards, and docs against those keys, and each rule runs
only when the file it needs is present — so it works whether telemetry changes
land in one pull request or several. Run it locally with:
```
python .github/scripts/otel-naming/check_otel_naming.py
```
See [.github/scripts/otel-naming/README.md](.github/scripts/otel-naming/README.md)
for the full rule list.
## Contracts and instrumentation
We are using [Antithesis](https://antithesis.com/) for continuous fuzzing,
@@ -408,8 +299,8 @@ For this reason:
- Contract description for `UNREACHABLE` should describe the _unexpected_
situation which caused the line to have been reached.
- Example good name for an
`UNREACHABLE` macro `"json::operator==(Value, Value) : invalid type"`; example
good name for an `XRPL_ASSERT` macro `"json::Value::asCString : valid type"`.
`UNREACHABLE` macro `"Json::operator==(Value, Value) : invalid type"`; example
good name for an `XRPL_ASSERT` macro `"Json::Value::asCString : valid type"`.
- Example **bad** name
`"RFC1751::insert(char* s, int x, int start, int length) : length is greater than or equal zero"`
(missing namespace, unnecessary full function signature, description too verbose).
@@ -613,7 +504,7 @@ All releases, including release candidates and betas, are handled
differently from typical PRs. Most importantly, never use
the Github UI to merge a release.
Xrpld uses a linear workflow model that can be summarized as:
Rippled uses a linear workflow model that can be summarized as:
1. In between releases, developers work against the `develop` branch.
2. Periodically, a maintainer will build and tag a beta version from

View File

@@ -1,7 +1,7 @@
ISC License
Copyright (c) 2011, Arthur Britto, David Schwartz, Jed McCaleb, Vinnie Falco, Bob Way, Eric Lombrozo, Nikolaos D. Bougalis, Howard Hinnant.
Copyright (c) 2012-present, the XRP Ledger developers.
Copyright (c) 2012-2025, the XRP Ledger developers.
Permission to use, copy, modify, and distribute this software for any
purpose with or without fee is hereby granted, provided that the above

View File

@@ -1,565 +0,0 @@
# Distributed Tracing Fundamentals
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Next**: [Architecture Analysis](./01-architecture-analysis.md)
---
## What is Distributed Tracing?
Distributed tracing is a method for tracking data objects as they flow through distributed systems. In a network like XRP Ledger, a single transaction touches multiple independent nodes—each with no shared memory or logging. Distributed tracing connects these dots.
**Without tracing:** You see isolated logs on each node with no way to correlate them.
**With tracing:** You see the complete journey of a transaction or an event across all nodes it touched.
---
## Actors and Actions at a Glance
### Actors
| Who (Plain English) | Technical Term |
| ---------------------------------------------- | --------------- |
| A single unit of work being tracked | Span |
| The complete journey of a request | Trace |
| Data that links spans across services | Trace Context |
| Code that creates spans and propagates context | Instrumentation |
| Service that receives and processes traces | Collector |
| Storage and visualization system | Backend (Tempo) |
| Decision logic for which traces to keep | Sampler |
### Actions
| What Happens (Plain English) | Technical Term |
| --------------------------------------- | ----------------------- |
| Start tracking a new operation | Create a Span |
| Connect a child operation to its parent | Set `parent_span_id` |
| Group all related operations together | Share a `trace_id` |
| Pass tracking data between services | Context Propagation |
| Decide whether to record a trace | Sampling (Head or Tail) |
| Send completed traces to storage | Export (OTLP) |
---
## Core Concepts
### 1. Trace
A **trace** represents the entire journey of a request through the system. It has a unique `trace_id` that stays constant across all nodes.
```
Trace ID: abc123
├── Node A: received transaction
├── Node B: relayed transaction
├── Node C: included in consensus
└── Node D: applied to ledger
```
### 2. Span
A **span** represents a single unit of work within a trace. Each span has:
| Attribute | Description | Example |
| ---------------- | -------------------------------- | -------------------------- |
| `trace_id` | Identifies the trace | `event123` |
| `span_id` | Unique identifier | `span456` |
| `parent_span_id` | Parent span (if any) | `p_span123` |
| `name` | Operation name | `rpc.submit` |
| `start_time` | When work began (local time) | `2024-01-15T10:30:00Z` |
| `end_time` | When work completed (local time) | `2024-01-15T10:30:00.050Z` |
| `attributes` | Key-value metadata | `tx_hash=ABC...` |
| `status` | OK, ERROR MSG | `OK` |
### 3. Trace Context
**Trace context** is the data that propagates between services to link spans together. It contains:
- `trace_id` - The trace this span belongs to
- `span_id` - The current span (becomes parent for child spans)
- `trace_flags` - Sampling decisions
---
## How Spans Form a Trace
Spans have parent-child relationships forming a tree structure:
```mermaid
flowchart TB
subgraph trace["Trace: abc123"]
A["tx.submit<br/>span_id: 001<br/>50ms"] --> B["tx.validate<br/>span_id: 002<br/>5ms"]
A --> C["tx.relay<br/>span_id: 003<br/>10ms"]
A --> D["tx.apply<br/>span_id: 004<br/>30ms"]
D --> E["ledger.update<br/>span_id: 005<br/>20ms"]
end
style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
style B fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style D fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style E fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **tx.submit (blue, root)**: The top-level span representing the entire transaction submission; all other spans are its descendants.
- **tx.validate, tx.relay, tx.apply (green)**: Direct children of tx.submit, representing the three main stages -- validation, relay to peers, and application to the ledger.
- **ledger.update (red)**: A grandchild span nested under tx.apply, representing the actual ledger state mutation triggered by applying the transaction.
- **Arrows (parent to child)**: Each arrow indicates a parent-child span relationship where the parent's completion depends on the child finishing.
The same trace visualized as a **timeline (Gantt chart)**:
```
Time → 0ms 10ms 20ms 30ms 40ms 50ms
├───────────────────────────────────────────┤
tx.submit│▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
├─────┤
tx.valid │▓▓▓▓▓│
│ ├──────────┤
tx.relay │ │▓▓▓▓▓▓▓▓▓▓│
│ ├────────────────────────────┤
tx.apply │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
│ ├──────────────────┤
ledger │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
```
---
## Span Relationships
Spans don't always form simple parent-child trees. Distributed tracing defines several relationship types to capture different causal patterns:
### 1. Parent-Child (ChildOf)
The default relationship. The parent span **depends on** or **contains** the child span. The child runs within the scope of the parent.
```
tx.submit (parent)
├── tx.validate (child) ← parent waits for this
├── tx.relay (child) ← parent waits for this
└── tx.apply (child) ← parent waits for this
```
**When to use:** Synchronous calls, nested operations, any case where the parent's completion depends on the child.
### 2. Follows-From
A causal relationship where the first span **triggers** the second, but does **not wait** for it. The originator fires and moves on.
```
Time →
tx.receive [=======]
↓ triggers (follows-from)
tx.relay [===========] ← runs independently
```
**When to use:** Asynchronous jobs, queued work, fire-and-forget patterns. For example, a node receives a transaction and queues it for relay — the relay span _follows from_ the receive span but the receiver doesn't wait for relaying to complete.
> **OpenTracing** defined `FollowsFrom` as a first-class reference type alongside `ChildOf`.
> **OpenTelemetry** represents this using **Span Links** with descriptive attributes instead (see below).
### 3. Span Links (Cross-Trace and Non-Hierarchical)
Links connect spans that are **causally related but not in a parent-child hierarchy**. Unlike parent-child, links can cross trace boundaries.
```
Trace A Trace B
────── ──────
batch.schedule batch.execute
├─ item.enqueue (span X) ┌──► process.item
├─ item.enqueue (span Y) ───┤ (links to X, Y, Z)
├─ item.enqueue (span Z) └──►
```
**Use cases:**
| Pattern | Description |
| -------------------- | --------------------------------------------------------------------------- |
| **Batch processing** | A batch span links back to all individual spans that contributed to it |
| **Fan-in** | An aggregation span links to the multiple producer spans it merges |
| **Fan-out** | Multiple downstream spans link back to the single span that triggered them |
| **Async handoff** | A deferred job links back to the request that queued it (follows-from) |
| **Cross-trace** | Correlating spans across independent traces (e.g., retries, related events) |
**Link structure:** Each link carries the target span's context plus optional attributes:
```
Link {
trace_id: <target trace>
span_id: <target span>
attributes: { "link.description": "triggered by batch scheduler" }
}
```
### Relationship Summary
```mermaid
flowchart LR
subgraph parent_child["Parent-Child"]
direction TB
P["Parent"] --> C["Child"]
end
subgraph follows_from["Follows-From"]
direction TB
A["Span A"] -.->|triggers| B["Span B"]
end
subgraph links["Span Links"]
direction TB
X["Span X\n(Trace 1)"] -.-|link| Y["Span Y\n(Trace 2)"]
end
parent_child ~~~ follows_from ~~~ links
style P fill:#0d47a1,stroke:#082f6a,color:#ffffff
style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
style B fill:#bf360c,stroke:#8c2809,color:#ffffff
style X fill:#4a148c,stroke:#38006b,color:#ffffff
style Y fill:#4a148c,stroke:#38006b,color:#ffffff
```
| Relationship | Same Trace? | Dependency? | OTel Mechanism |
| ---------------- | ----------- | -------------------------- | ----------------- |
| **Parent-Child** | Yes | Parent depends on child | `parent_span_id` |
| **Follows-From** | Usually | Causal but no dependency | Link + attributes |
| **Span Link** | Either | Correlation, no dependency | Link + attributes |
---
## Trace ID Generation
A `trace_id` is a 128-bit (16-byte) identifier that groups all spans belonging to one logical operation. How it's generated determines how easily you can find and correlate traces later.
### General Approaches
#### 1. Random (W3C Default)
Generate a random 128-bit ID when a trace starts. Standard approach for most services.
```
trace_id = random_128_bits()
```
| Pros | Cons |
| --------------------------- | --------------------------------------------- |
| Simple, standard | No natural correlation to domain events |
| Guaranteed unique per trace | If propagation is lost, trace is broken |
| Works with all OTel tooling | "Find trace for TX abc" requires index lookup |
#### 2. Deterministic (Derived from Domain Data)
Compute the trace_id from a hash of a natural identifier. Every node independently derives the **same** trace_id for the same event.
```
trace_id = SHA-256(domain_identifier)[0:16] // truncate to 128 bits
```
| Pros | Cons |
| --------------------------------------------------- | ---------------------------------------------------------- |
| Propagation-resilient — same ID computed everywhere | Same event processed twice (retry) shares trace_id |
| Natural search — domain ID maps directly to trace | Non-standard (tooling assumes random) |
| No coordination needed between nodes | 256→128 bit truncation (collision risk negligible at ~2⁶⁴) |
#### 3. Hybrid (Deterministic Prefix + Random Suffix)
First 8 bytes derived from domain data, last 8 bytes random.
```
trace_id = SHA-256(domain_identifier)[0:8] || random_64_bits()
```
| Pros | Cons |
| ------------------------------------------- | ---------------------------------------- |
| Prefix search: "find all traces for TX abc" | Must propagate to maintain full trace_id |
| Unique per processing instance | More complex generation logic |
| Retries get distinct trace_ids | Partial correlation only (prefix match) |
### XRPL Workflow Analysis
XRPL has a unique advantage: its core workflows produce **globally unique 256-bit hashes** that are known on every node. This makes deterministic trace_id generation practical in ways most systems can't achieve.
#### Natural Identifiers by Workflow
| Workflow | Natural Identifier | Size | Known at Start? | Same on All Nodes? |
| ------------------- | --------------------------------- | ---------- | ----------------------------- | -------------------------------- |
| **Transaction** | Transaction hash (`tid_`) | 256-bit | Yes — computed before signing | Yes — hash of canonical tx data |
| **Consensus round** | Previous ledger hash + ledger seq | 256+32 bit | Yes — known when round opens | Yes — all validators agree |
| **Validation** | Ledger hash being validated | 256-bit | Yes — from consensus result | Yes — same closed ledger |
| **Ledger catch-up** | Target ledger hash | 256-bit | Yes — we know what to fetch | Yes — identifies ledger globally |
#### Where These Identifiers Live in Code
```
Transaction: STTx::getTransactionID() → uint256 tid_
TMTransaction::rawTransaction → recompute hash from bytes
Consensus: ConsensusProposal::prevLedger_ → uint256 (previous ledger hash)
ConsensusProposal::position_ → uint256 (TxSet hash)
LedgerHeader::seq → uint32_t (ledger sequence)
Validation: STValidation::getLedgerHash() → uint256
STValidation::getNodeID() → NodeID (160-bit)
Ledger fetch: InboundLedger constructor → uint256 hash, uint32_t seq
TMGetLedger::ledgerHash → bytes (uint256)
```
### Recommended Strategy: Workflow-Scoped Deterministic
Each workflow type derives its trace_id from its natural domain identifier:
```
Transaction trace: trace_id = SHA-256("tx" || tx_hash)[0:16]
Consensus trace: trace_id = SHA-256("cons" || prev_ledger_hash || ledger_seq)[0:16]
Ledger catch-up: trace_id = SHA-256("fetch" || target_ledger_hash)[0:16]
```
The string prefix (`"tx"`, `"cons"`, `"fetch"`) prevents collisions between workflows that might share underlying hashes.
**Why this works for XRPL:**
1. **Propagation-resilient** — Even if a P2P message drops trace context, every node independently computes the same trace_id from the same tx_hash or ledger_hash. Spans still correlate.
2. **Zero-cost search** — "Show me the trace for transaction ABC" becomes a direct lookup: compute `SHA-256("tx" || ABC)[0:16]` and query. No secondary index needed.
3. **Cross-workflow linking via Span Links** — A consensus trace links to individual transaction traces. A validation span links to the consensus trace. This connects the full picture without forcing everything into one giant trace.
### Cross-Workflow Correlation
Each workflow gets its own trace. Span Links tie them together:
```mermaid
flowchart TB
subgraph tx_trace["Transaction Trace"]
direction LR
Tn["trace_id = f(tx_hash)"]:::note --> T1["tx.receive"] --> T2["tx.validate"] --> T3["tx.relay"]
end
subgraph cons_trace["Consensus Trace"]
direction LR
Cn["trace_id = f(prev_ledger, seq)"]:::note --> C1["cons.open"] --> C2["cons.propose"] --> C3["cons.accept"]
end
subgraph val_trace["Validation"]
direction LR
Vn["spans within consensus trace"]:::note --> V1["val.create"] --> V2["val.broadcast"]
end
subgraph fetch_trace["Catch-Up Trace"]
direction LR
Fn["trace_id = f(ledger_hash)"]:::note --> F1["fetch.request"] --> F2["fetch.receive"] --> F3["fetch.apply"]
end
C1 -.-|"span link\n(tx traces)"| T3
C3 --> V1
F1 -.-|"span link\n(target ledger)"| C3
classDef note fill:none,stroke:#888,stroke-dasharray:5 5,color:#333,font-style:italic
style T1 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style T2 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style T3 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style C1 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C2 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C3 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style V1 fill:#bf360c,stroke:#8c2809,color:#ffffff
style V2 fill:#bf360c,stroke:#8c2809,color:#ffffff
style F1 fill:#4a148c,stroke:#38006b,color:#ffffff
style F2 fill:#4a148c,stroke:#38006b,color:#ffffff
style F3 fill:#4a148c,stroke:#38006b,color:#ffffff
```
**Reading the diagram:**
- **Transaction Trace (blue)**: An independent trace whose `trace_id` is deterministically derived from the transaction hash. Contains receive, validate, and relay spans.
- **Consensus Trace (green)**: An independent trace whose `trace_id` is derived from the previous ledger hash and sequence number. Covers the open, propose, and accept phases.
- **Validation (red)**: Validation spans live within the consensus trace (not a separate trace). They are created after the accept phase completes.
- **Catch-Up Trace (purple)**: An independent trace for ledger acquisition, derived from the target ledger hash. Used when a node is behind and fetching missing ledgers.
- **Dotted arrows (span links)**: Cross-trace correlations. Consensus links to transaction traces it included; catch-up links to the consensus trace that produced the target ledger.
- **Solid arrow (C3 to V1)**: A parent-child relationship -- validation spans are direct children of the consensus accept span within the same trace.
**How a query flows:**
```
"Why was TX abc slow?"
1. Compute trace_id = SHA-256("tx" || abc)[0:16]
2. Find transaction trace → see it was included in consensus round N
3. Follow span link → consensus trace for round N
4. See which phase was slow (propose? accept?)
5. If a node was catching up, follow link → catch-up trace
```
### Trade-offs to Consider
| Concern | Mitigation |
| ----------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| **Retries get same trace_id** | Add `attempt` attribute to root span; spans have unique span_ids and timestamps |
| **256→128 bit truncation** | Birthday-bound collision at ~2⁶⁴ operations — negligible for XRPL's throughput |
| **Non-standard generation** | OTel spec allows any 16-byte non-zero value; tooling works on the hex string |
| **Hash computation cost** | SHA-256 is ~0.3μs per call; XRPL already computes these hashes for other purposes |
| **Late-binding identifiers** | Ledger hash isn't known until after consensus — validation spans use ledger_seq as fallback, then link to the consensus trace |
---
## Distributed Traces Across Nodes
In distributed systems like xrpld, traces span **multiple independent nodes**. The trace context must be propagated in network messages:
```mermaid
sequenceDiagram
participant Client
participant NodeA as Node A
participant NodeB as Node B
participant NodeC as Node C
Client->>NodeA: Submit TX<br/>(no trace context)
Note over NodeA: Creates new trace<br/>trace_id: abc123<br/>span: tx.receive
NodeA->>NodeB: Relay TX<br/>(trace_id: abc123, parent: 001)
Note over NodeB: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
NodeA->>NodeC: Relay TX<br/>(trace_id: abc123, parent: 001)
Note over NodeC: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
Note over NodeA,NodeC: All spans share trace_id: abc123<br/>enabling correlation across nodes
```
**Reading the diagram:**
- **Client**: The external entity that submits a transaction. It does not carry trace context -- the trace originates at the first node.
- **Node A**: The entry point that creates a new trace (trace_id: abc123) and the root span `tx.receive`. It relays the transaction to peers with trace context attached.
- **Node B and Node C**: Peer nodes that receive the relayed transaction along with the propagated trace context. Each creates a child span under Node A's span, preserving the same `trace_id`.
- **Arrows with trace context**: The relay messages carry `trace_id` and `parent_span_id`, allowing each downstream node to link its spans back to the originating span on Node A.
---
## Context Propagation
For traces to work across nodes, **trace context must be propagated** in messages.
### What's in the Context (~26 bytes)
| Field | Size | Description |
| ------------- | -------- | ------------------------------------------------------- |
| `trace_id` | 16 bytes | Identifies the entire trace (constant across all nodes) |
| `span_id` | 8 bytes | The sender's current span (becomes parent on receiver) |
| `trace_flags` | 1 byte | Sampling decision (bit 0 = sampled; bits 1-7 reserved) |
| `trace_state` | variable | Optional vendor-specific data (typically omitted) |
### How span_id Changes at Each Hop
Only **one** `span_id` travels in the context - the sender's current span. Each node:
1. Extracts the received `span_id` and uses it as the `parent_span_id`
2. Creates a **new** `span_id` for its own span
3. Sends its own `span_id` as the parent when forwarding
```
Node A Node B Node C
────── ────── ──────
Span AAA Span BBB Span CCC
│ │ │
▼ ▼ ▼
Context out: Context out: Context out:
├─ trace_id: abc123 ├─ trace_id: abc123 ├─ trace_id: abc123
├─ span_id: AAA ──────────► ├─ span_id: BBB ──────────► ├─ span_id: CCC ──────►
└─ flags: 01 └─ flags: 01 └─ flags: 01
│ │
parent = AAA parent = BBB
```
The `trace_id` stays constant, but `span_id` **changes at every hop** to maintain the parent-child chain.
### Propagation Formats
There are two patterns:
### HTTP/RPC Headers (W3C Trace Context)
```
traceparent: 00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01
│ │ │ │
│ │ │ └── Flags (sampled)
│ │ └── Parent span ID (16 hex)
│ └── Trace ID (32 hex)
└── Version
```
### Protocol Buffers (xrpld P2P messages)
xrpld P2P messages such as `TMTransaction` carry the trace context in two added byte fields alongside the existing payload: `trace_parent` holds the W3C traceparent (`trace_id`, `span_id`, and `trace_flags`), and `trace_state` holds the optional W3C tracestate. Together they propagate the trace across the P2P boundary so a receiving node can attach its spans to the sender's span.
---
## Sampling
Not every trace needs to be recorded. **Sampling** reduces overhead:
### Head Sampling (at trace start)
```
Request arrives → Random N% chance → Record or skip entire trace
```
- ✅ Low overhead
- ❌ May miss interesting traces
> **xrpld note**: xrpld intentionally fixes head sampling at 100% (sample
> everything) and does not expose a configurable ratio. A per-node ratio
> would let different nodes make divergent keep/drop decisions for the same
> distributed trace, producing broken/partial traces. xrpld uses a
> `ParentBased` sampler so spans with a remote parent honor the upstream
> decision. Volume reduction is delegated to collector-side tail sampling.
### Tail Sampling (after trace completes)
```
Trace completes → Collector evaluates:
- Error? → KEEP
- Slow? → KEEP
- Normal? → Sample 10%
```
- ✅ Never loses important traces
- ❌ Higher memory usage at collector
---
## Key Benefits for xrpld
| Challenge | How Tracing Helps |
| ---------------------------------- | ---------------------------------------- |
| "Where is my transaction?" | Follow trace across all nodes it touched |
| "Why was consensus slow?" | See timing breakdown of each phase |
| "Which node is the bottleneck?" | Compare span durations across nodes |
| "What happened during the outage?" | Correlate errors across the network |
---
## Glossary
| Term | Definition |
| -------------------- | ------------------------------------------------------------------- |
| **Trace** | Complete journey of a request, identified by `trace_id` |
| **Span** | Single operation within a trace |
| **Parent-Child** | Span relationship where the parent depends on the child |
| **Follows-From** | Causal relationship where originator doesn't wait for the result |
| **Span Link** | Non-hierarchical connection between spans, possibly across traces |
| **Deterministic ID** | Trace ID derived from domain data (e.g., tx_hash) instead of random |
| **Context** | Data propagated between services (`trace_id`, `span_id`, flags) |
| **Instrumentation** | Code that creates spans and propagates context |
| **Collector** | Service that receives, processes, and exports traces |
| **Backend** | Storage/visualization system (Tempo) |
| **Head Sampling** | Sampling decision at trace start |
| **Tail Sampling** | Sampling decision after trace completes |
---
_Next: [Architecture Analysis](./01-architecture-analysis.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,467 +0,0 @@
# Architecture Analysis
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Design Decisions](./02-design-decisions.md) | [Implementation Strategy](./03-implementation-strategy.md)
---
## 1.1 Current xrpld Architecture Overview
> **WS** = WebSocket | **UNL** = Unique Node List | **TxQ** = Transaction Queue | **StatsD** = Statistics Daemon
The xrpld node software consists of several interconnected components that need instrumentation for distributed tracing:
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
subgraph services["Core Services"]
RPC["RPC Server<br/>(HTTP/WS/gRPC)"]
Overlay["Overlay<br/>(P2P Network)"]
Consensus["Consensus<br/>(RCLConsensus)"]
ValidatorList["ValidatorList<br/>(UNL Mgmt)"]
end
JobQueue["JobQueue<br/>(Thread Pool)"]
subgraph processing["Processing Layer"]
NetworkOPs["NetworkOPs<br/>(Tx Processing)"]
LedgerMaster["LedgerMaster<br/>(Ledger Mgmt)"]
NodeStore["NodeStore<br/>(Database)"]
InboundLedgers["InboundLedgers<br/>(Ledger Sync)"]
end
subgraph appservices["Application Services"]
PathFind["PathFinding<br/>(Payment Paths)"]
TxQ["TxQ<br/>(Fee Escalation)"]
LoadMgr["LoadManager<br/>(Fee/Load)"]
end
subgraph observability["Existing Observability"]
PerfLog["PerfLog<br/>(JSON)"]
Insight["Insight<br/>(StatsD)"]
Logging["Logging<br/>(Journal)"]
end
services --> JobQueue
JobQueue --> processing
JobQueue --> appservices
end
style xrpld fill:#424242,stroke:#212121,color:#ffffff
style services fill:#1565c0,stroke:#0d47a1,color:#ffffff
style processing fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style appservices fill:#6a1b9a,stroke:#4a148c,color:#ffffff
style observability fill:#e65100,stroke:#bf360c,color:#ffffff
```
**Reading the diagram:**
- **Core Services (blue)**: The entry points into xrpld -- RPC Server handles client requests, Overlay manages peer-to-peer networking, Consensus drives agreement, and ValidatorList manages trusted validators.
- **JobQueue (center)**: The asynchronous thread pool that decouples Core Services from the Processing and Application layers. All work flows through it.
- **Processing Layer (green)**: Core business logic -- NetworkOPs processes transactions, LedgerMaster manages ledger state, NodeStore handles persistence, and InboundLedgers synchronizes missing data.
- **Application Services (purple)**: Higher-level features -- PathFinding computes payment routes, TxQ manages fee-based queuing, and LoadManager tracks server load.
- **Existing Observability (orange)**: The current monitoring stack (PerfLog, Insight, Journal logging) that OpenTelemetry will complement, not replace.
- **Arrows (Services to JobQueue to layers)**: Work originates at Core Services, is enqueued onto the JobQueue, and dispatched to Processing or Application layers for execution.
---
## 1.1.1 Actors and Actions
### Actors
| Who (Plain English) | Technical Term |
| ----------------------------------------- | -------------------------- |
| Network node running XRPL software | xrpld node |
| External client submitting requests | RPC Client |
| Network neighbor sharing data | Peer (PeerImp) |
| Request handler for client queries | RPC Server (ServerHandler) |
| Command executor for specific RPC methods | RPCHandler |
| Agreement process between nodes | Consensus (RCLConsensus) |
| Transaction processing coordinator | NetworkOPs |
| Background task scheduler | JobQueue |
| Ledger state manager | LedgerMaster |
| Payment route calculator | PathFinding (Pathfinder) |
| Transaction waiting room | TxQ (Transaction Queue) |
| Fee adjustment system | LoadManager |
| Trusted validator list manager | ValidatorList |
| Protocol upgrade tracker | AmendmentTable |
| Ledger state hash tree | SHAMap |
| Persistent key-value storage | NodeStore |
### Actions
| What Happens (Plain English) | Technical Term |
| ---------------------------------------------- | ---------------------- |
| Client sends a request to a node | `rpc.request` |
| Node executes a specific RPC command | `rpc.command.*` |
| Node receives a transaction from a peer | `tx.receive` |
| Node checks if a transaction is valid | `tx.validate` |
| Node forwards a transaction to neighbors | `tx.relay` |
| Nodes agree on which transactions to include | `consensus.round` |
| Consensus progresses through phases | `consensus.phase.*` |
| Node builds a new confirmed ledger | `ledger.build` |
| Node fetches missing ledger data from peers | `ledger.acquire` |
| Node computes payment routes | `pathfind.compute` |
| Node queues a transaction for later processing | `txq.enqueue` |
| Node increases fees due to high load | `fee.escalate` |
| Node fetches the latest trusted validator list | `validator.list.fetch` |
| Node votes on a protocol amendment | `amendment.vote` |
| Node synchronizes state tree data | `shamap.sync` |
---
## 1.2 Key Components for Instrumentation
> **TxQ** = Transaction Queue | **UNL** = Unique Node List
| Component | Location | Purpose | Trace Value |
| ------------------ | ------------------------------------------ | ------------------------ | -------------------------------- |
| **Overlay** | `src/xrpld/overlay/` | P2P communication | Message propagation timing |
| **PeerImp** | `src/xrpld/overlay/detail/PeerImp.cpp` | Individual peer handling | Per-peer latency |
| **RCLConsensus** | `src/xrpld/app/consensus/RCLConsensus.cpp` | Consensus algorithm | Round timing, phase analysis |
| **NetworkOPs** | `src/xrpld/app/misc/NetworkOPs.cpp` | Transaction processing | Tx lifecycle tracking |
| **ServerHandler** | `src/xrpld/rpc/detail/ServerHandler.cpp` | RPC entry point | Request latency |
| **RPCHandler** | `src/xrpld/rpc/detail/RPCHandler.cpp` | Command execution | Per-command timing |
| **JobQueue** | `src/xrpl/core/JobQueue.h` | Async task execution | Queue wait times |
| **PathFinding** | `src/xrpld/app/paths/` | Payment path computation | Path latency, cache hits |
| **TxQ** | `src/xrpld/app/misc/TxQ.cpp` | Transaction queue/fees | Queue depth, eviction rates |
| **LoadManager** | `src/xrpld/app/main/LoadManager.cpp` | Fee escalation/load | Fee levels, load factors |
| **InboundLedgers** | `src/xrpld/app/ledger/InboundLedgers.cpp` | Ledger acquisition | Sync time, peer reliability |
| **ValidatorList** | `src/xrpld/app/misc/ValidatorList.cpp` | UNL management | List freshness, fetch failures |
| **AmendmentTable** | `src/xrpld/app/misc/AmendmentTable.cpp` | Protocol amendments | Voting status, activation events |
| **SHAMap** | `src/xrpld/shamap/` | State hash tree | Sync speed, missing nodes |
---
## 1.3 Transaction Flow Diagram
Transaction flow spans multiple nodes in the network. Each node creates linked spans to form a distributed trace:
```mermaid
sequenceDiagram
participant Client
participant PeerA as Peer A (Receive)
participant PeerB as Peer B (Relay)
participant PeerC as Peer C (Validate)
Client->>PeerA: 1. Submit TX
rect rgb(230, 245, 255)
Note over PeerA: tx.receive SPAN START
PeerA->>PeerA: HashRouter Deduplication
PeerA->>PeerA: tx.validate (child span)
end
PeerA->>PeerB: 2. Relay TX (with trace ctx)
rect rgb(230, 245, 255)
Note over PeerB: tx.receive (linked span)
end
PeerB->>PeerC: 3. Relay TX
rect rgb(230, 245, 255)
Note over PeerC: tx.receive (linked span)
PeerC->>PeerC: tx.process
end
Note over Client,PeerC: DISTRIBUTED TRACE (same trace_id: abc123)
```
**Reading the diagram:**
- **Client**: The external entity that submits a transaction to Peer A. It has no trace context -- the trace starts at the first node.
- **Peer A (Receive)**: The entry node that creates the root span `tx.receive`, runs HashRouter deduplication to avoid processing duplicates, and creates a child `tx.validate` span.
- **Peer A to Peer B arrow**: The relay message carries trace context (trace_id + parent span_id), enabling Peer B to create a linked span under the same trace.
- **Peer B (Relay)**: Receives the transaction and trace context, creates a `tx.receive` span linked to Peer A's trace, then relays onward.
- **Peer C (Validate)**: Final hop in this example. Creates a linked `tx.receive` span and runs `tx.process` to fully process the transaction.
- **Blue rectangles**: Highlight the span boundaries on each node, showing where instrumentation creates and closes spans.
### Trace Structure
```
trace_id: abc123
├── span: tx.receive (Peer A)
│ ├── span: tx.validate
│ └── span: tx.relay
├── span: tx.receive (Peer B) [parent: Peer A]
│ └── span: tx.relay
└── span: tx.receive (Peer C) [parent: Peer B]
└── span: tx.process
```
---
## 1.4 Consensus Round Flow
Consensus rounds are multi-phase operations that benefit significantly from tracing:
```mermaid
flowchart TB
subgraph round["consensus.round (root span)"]
attrs["Attributes:<br/>ledger_seq = 12345678<br/>consensus_mode = proposing<br/>proposers = 35"]
subgraph open["consensus.phase.open"]
open_desc["Duration: ~3s<br/>Waiting for transactions"]
end
subgraph establish["consensus.phase.establish"]
est_attrs["proposals_received = 28<br/>disputes_resolved = 3"]
est_children["├── consensus.proposal.receive (×28)<br/>├── consensus.proposal.send (×1)<br/>└── consensus.dispute.resolve (×3)"]
end
subgraph accept["consensus.phase.accept"]
acc_attrs["transactions_applied = 150<br/>ledger_hash = DEF456..."]
acc_children["├── ledger.build<br/>└── ledger.validate"]
end
attrs --> open
open --> establish
establish --> accept
end
style round fill:#f57f17,stroke:#e65100,color:#ffffff
style open fill:#1565c0,stroke:#0d47a1,color:#ffffff
style establish fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style accept fill:#c2185b,stroke:#880e4f,color:#ffffff
```
**Reading the diagram:**
- **consensus.round (orange, root span)**: The top-level span encompassing the entire consensus round, with attributes like ledger sequence, mode, and proposer count.
- **consensus.phase.open (blue)**: The first phase where the node waits (~3s) to collect incoming transactions before proposing.
- **consensus.phase.establish (green)**: The negotiation phase where validators exchange proposals, resolve disputes, and converge on a transaction set. Child spans track each proposal received/sent and each dispute resolved.
- **consensus.phase.accept (pink)**: The final phase where the agreed transaction set is applied, a new ledger is built, and the ledger is validated. Child spans cover `ledger.build` and `ledger.validate`.
- **Arrows (open to establish to accept)**: The sequential flow through the three consensus phases. Each phase must complete before the next begins.
---
## 1.5 RPC Request Flow
> **WS** = WebSocket
RPC requests support W3C Trace Context headers for distributed tracing across services:
```mermaid
flowchart TB
subgraph request["rpc.request (root span)"]
http["HTTP Request — POST /<br/>traceparent:<br/>00-abc123...-def456...-01"]
attrs["Attributes:<br/>http.method = POST<br/>net.peer.ip = 192.168.1.100<br/>command = submit"]
subgraph enqueue["jobqueue.enqueue"]
job_attr["job_type = jtCLIENT_RPC"]
end
subgraph command["rpc.command.submit"]
cmd_attrs["version = 2<br/>rpc_role = user"]
cmd_children["├── tx.deserialize<br/>├── tx.validate_local<br/>└── tx.submit_to_network"]
end
response["Response: 200 OK<br/>Duration: 45ms"]
http --> attrs
attrs --> enqueue
enqueue --> command
command --> response
end
style request fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style enqueue fill:#1565c0,stroke:#0d47a1,color:#ffffff
style command fill:#e65100,stroke:#bf360c,color:#ffffff
```
**Reading the diagram:**
- **rpc.request (green, root span)**: The outermost span representing the full RPC request lifecycle, from HTTP receipt to response. Carries the W3C `traceparent` header for distributed tracing.
- **HTTP Request node**: Shows the incoming POST request with its `traceparent` header and extracted attributes (method, peer IP, command name).
- **jobqueue.enqueue (blue)**: The span covering the asynchronous handoff from the RPC thread to the JobQueue worker thread. The trace context is preserved across this async boundary.
- **rpc.command.submit (orange)**: The span for the actual command execution, with child spans for deserialization, local validation, and network submission.
- **Response node**: The final output with HTTP status and total duration, marking the end of the root span.
- **Arrows (top to bottom)**: The sequential processing pipeline -- receive request, extract attributes, enqueue job, execute command, return response.
---
## 1.6 Key Trace Points
> **TxQ** = Transaction Queue
The following table identifies priority instrumentation points across the codebase:
| Category | Span Name | File | Method | Priority |
| --------------- | ---------------------- | ---------------------- | ----------------------- | -------- |
| **Transaction** | `tx.receive` | `PeerImp.cpp` | `handleTransaction()` | High |
| **Transaction** | `tx.validate` | `NetworkOPs.cpp` | `processTransaction()` | High |
| **Transaction** | `tx.process` | `NetworkOPs.cpp` | `doTransactionSync()` | High |
| **Transaction** | `tx.relay` | `OverlayImpl.cpp` | `relay()` | Medium |
| **Consensus** | `consensus.round` | `RCLConsensus.cpp` | `startRound()` | High |
| **Consensus** | `consensus.phase.*` | `Consensus.h` | `timerEntry()` | High |
| **Consensus** | `consensus.proposal.*` | `RCLConsensus.cpp` | `peerProposal()` | Medium |
| **RPC** | `rpc.request` | `ServerHandler.cpp` | `onRequest()` | High |
| **RPC** | `rpc.command.*` | `RPCHandler.cpp` | `doCommand()` | High |
| **Peer** | `peer.connect` | `OverlayImpl.cpp` | `onHandoff()` | Low |
| **Peer** | `peer.message.*` | `PeerImp.cpp` | `onMessage()` | Low |
| **Ledger** | `ledger.acquire` | `InboundLedgers.cpp` | `acquire()` | Medium |
| **Ledger** | `ledger.build` | `RCLConsensus.cpp` | `buildLCL()` | High |
| **PathFinding** | `pathfind.request` | `PathRequest.cpp` | `doUpdate()` | High |
| **PathFinding** | `pathfind.compute` | `Pathfinder.cpp` | `findPaths()` | High |
| **TxQ** | `txq.enqueue` | `TxQ.cpp` | `apply()` | High |
| **TxQ** | `txq.apply` | `TxQ.cpp` | `processClosedLedger()` | High |
| **Fee** | `fee.escalate` | `LoadManager.cpp` | `raiseLocalFee()` | Medium |
| **Ledger** | `ledger.replay` | `LedgerReplayer.h` | `replay()` | Medium |
| **Ledger** | `ledger.delta` | `LedgerDeltaAcquire.h` | `processData()` | Medium |
| **Validator** | `validator.list.fetch` | `ValidatorList.cpp` | `verify()` | Medium |
| **Validator** | `validator.manifest` | `Manifest.cpp` | `applyManifest()` | Low |
| **Amendment** | `amendment.vote` | `AmendmentTable.cpp` | `doVoting()` | Low |
| **SHAMap** | `shamap.sync` | `SHAMap.cpp` | `fetchRoot()` | Medium |
---
## 1.7 Instrumentation Priority
> **TxQ** = Transaction Queue
```mermaid
quadrantChart
title Instrumentation Priority Matrix
x-axis Low Complexity --> High Complexity
y-axis Low Value --> High Value
quadrant-1 Implement First
quadrant-2 Plan Carefully
quadrant-3 Quick Wins
quadrant-4 Consider Later
RPC Tracing: [0.2, 0.92]
Transaction Tracing: [0.55, 0.88]
Consensus Tracing: [0.78, 0.82]
PathFinding: [0.38, 0.75]
TxQ and Fees: [0.25, 0.65]
Ledger Sync: [0.62, 0.58]
Peer Message Tracing: [0.35, 0.25]
JobQueue Tracing: [0.2, 0.48]
Validator Mgmt: [0.48, 0.42]
Amendment Tracking: [0.15, 0.32]
SHAMap Operations: [0.72, 0.45]
```
---
## 1.8 Observable Outcomes
> **TxQ** = Transaction Queue | **UNL** = Unique Node List
After implementing OpenTelemetry, operators and developers will gain visibility into the following:
### 1.8.1 What You Will See: Traces
| Trace Type | Description | Example Query in Grafana/Tempo |
| -------------------------- | ------------------------------------------------------------------------------------------- | ----------------------------------------------- |
| **Transaction Lifecycle** | Full journey from RPC submission through validation, relay, consensus, and ledger inclusion | `{service.name="xrpld" && tx_hash="ABC123..."}` |
| **Cross-Node Propagation** | Transaction path across multiple xrpld nodes with timing | `{relay_count > 0}` |
| **Consensus Rounds** | Complete round with all phases (open, establish, accept) | `{span.name=~"consensus.round.*"}` |
| **RPC Request Processing** | Individual command execution with timing breakdown | `{command="account_info"}` |
| **Ledger Acquisition** | Peer-to-peer ledger data requests and responses | `{span.name="ledger.acquire"}` |
| **PathFinding Latency** | Path computation time and cache effectiveness for payment RPCs | `{span.name="pathfind.compute"}` |
| **TxQ Behavior** | Queue depth, eviction patterns, fee escalation during congestion | `{span.name=~"txq.*"}` |
| **Ledger Sync** | Full acquisition timeline including delta and transaction fetches | `{span.name=~"ledger.acquire.*"}` |
| **Validator Health** | UNL fetch success, manifest updates, stale list detection | `{span.name=~"validator.*"}` |
### 1.8.2 What You Will See: Metrics (Derived from Traces)
| Metric | Description | Dashboard Panel |
| ----------------------------- | --------------------------------------- | --------------------------- |
| **RPC Latency (p50/p95/p99)** | Response time distribution per command | Heatmap by command |
| **Transaction Throughput** | Transactions processed per second | Time series graph |
| **Consensus Round Duration** | Time to complete consensus phases | Histogram |
| **Cross-Node Latency** | Time for transaction to reach N nodes | Line chart with percentiles |
| **Error Rate** | Failed transactions/RPC calls by type | Stacked bar chart |
| **PathFinding Latency** | Path computation time per currency pair | Heatmap by currency |
| **TxQ Depth** | Queued transactions over time | Time series with thresholds |
| **Fee Escalation Level** | Current fee multiplier | Gauge with alert thresholds |
| **Ledger Sync Duration** | Time to acquire missing ledgers | Histogram |
### 1.8.3 Concrete Dashboard Examples
**Transaction Trace View (Tempo):**
```
┌────────────────────────────────────────────────────────────────────────────────┐
│ Trace: abc123... (Transaction Submission) Duration: 847ms │
├────────────────────────────────────────────────────────────────────────────────┤
│ ├── rpc.request [ServerHandler] ████░░░░░░ 45ms │
│ │ └── rpc.command.submit [RPCHandler] ████░░░░░░ 42ms │
│ │ └── tx.receive [NetworkOPs] ███░░░░░░░ 35ms │
│ │ ├── tx.validate [TxQ] █░░░░░░░░░ 8ms │
│ │ └── tx.relay [Overlay] ██░░░░░░░░ 15ms │
│ │ ├── tx.receive [Node-B] █████░░░░░ 52ms │
│ │ │ └── tx.relay [Node-B] ██░░░░░░░░ 18ms │
│ │ └── tx.receive [Node-C] ██████░░░░ 65ms │
│ └── consensus.round [RCLConsensus] ████████░░ 720ms │
│ ├── consensus.phase.open ██░░░░░░░░ 180ms │
│ ├── consensus.phase.establish █████░░░░░ 480ms │
│ └── consensus.phase.accept █░░░░░░░░░ 60ms │
└────────────────────────────────────────────────────────────────────────────────┘
```
**RPC Performance Dashboard Panel:**
```
┌─────────────────────────────────────────────────────────────┐
│ RPC Command Latency (Last 1 Hour) │
├─────────────────────────────────────────────────────────────┤
│ Command │ p50 │ p95 │ p99 │ Errors │ Rate │
│──────────────────┼────────┼────────┼────────┼────────┼──────│
│ account_info │ 12ms │ 45ms │ 89ms │ 0.1% │ 150/s│
│ submit │ 35ms │ 120ms │ 250ms │ 2.3% │ 45/s│
│ ledger │ 8ms │ 25ms │ 55ms │ 0.0% │ 80/s│
│ tx │ 15ms │ 50ms │ 100ms │ 0.5% │ 60/s│
│ server_info │ 5ms │ 12ms │ 20ms │ 0.0% │ 200/s│
└─────────────────────────────────────────────────────────────┘
```
**Consensus Health Dashboard Panel:**
```mermaid
---
config:
xyChart:
width: 1200
height: 400
plotReservedSpacePercent: 50
chartOrientation: vertical
themeVariables:
xyChart:
plotColorPalette: "#3498db"
---
xychart-beta
title "Consensus Round Duration (Last 24 Hours)"
x-axis "Time of Day (Hours)" [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24]
y-axis "Duration (seconds)" 1 --> 5
line [2.1, 2.4, 2.8, 3.2, 3.8, 4.3, 4.5, 5.0, 4.7, 4.0, 3.2, 2.6, 2.0]
```
### 1.8.4 Operator Actionable Insights
| Scenario | What You'll See | Action |
| ------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------ |
| **Slow RPC** | Span showing which phase is slow (parsing, execution, serialization) | Optimize specific code path |
| **Transaction Stuck** | Trace stops at validation; error attribute shows reason | Fix transaction parameters |
| **Consensus Delay** | Phase.establish taking too long; proposer attribute shows missing validators | Investigate network connectivity |
| **Memory Spike** | Large batch of spans correlating with memory increase | Tune batch_size or sampling |
| **Network Partition** | Traces missing cross-node links for specific peer | Check peer connectivity |
| **Path Computation Slow** | pathfind.compute span shows high latency; cache miss rate in attributes | Warm the RippleLineCache, check order book depth |
| **TxQ Full** | txq.enqueue spans show evictions; fee.escalate spans increasing | Monitor fee levels, alert operators |
| **Ledger Sync Stalled** | ledger.acquire spans timing out; peer reliability attributes show issues | Check peer connectivity, add trusted peers |
| **UNL Stale** | validator.list.fetch spans failing; last_update attribute aging | Verify validator site URLs, check DNS |
### 1.8.5 Developer Debugging Workflow
1. **Find Transaction**: Query by `tx_hash` to get full trace
2. **Identify Bottleneck**: Look at span durations to find slowest component
3. **Check Attributes**: Review `validity`, `rpc_status` for errors
4. **Correlate Logs**: Use `trace_id` to find related PerfLog entries
5. **Compare Nodes**: Filter by `service.instance.id` to compare behavior across nodes
---
_Next: [Design Decisions](./02-design-decisions.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

View File

@@ -1,662 +0,0 @@
# Design Decisions
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Architecture Analysis](./01-architecture-analysis.md)
---
## 2.1 OpenTelemetry Components
> **OTLP** = OpenTelemetry Protocol
### 2.1.1 SDK Selection
**Primary Choice**: OpenTelemetry C++ SDK (`opentelemetry-cpp`)
| Component | Purpose | Required |
| --------------------------------------- | ---------------------- | ------------------------- |
| `opentelemetry-cpp::api` | Tracing API headers | Yes |
| `opentelemetry-cpp::sdk` | SDK implementation | Yes |
| `opentelemetry-cpp::ext` | Extensions (exporters) | Yes |
| `opentelemetry-cpp::otlp_http_exporter` | OTLP/HTTP export | Yes (shipped in Phase 1b) |
| `opentelemetry-cpp::otlp_grpc_exporter` | OTLP/gRPC export | Future (not yet wired up) |
### 2.1.2 Instrumentation Strategy
**Manual Instrumentation** (recommended):
| Approach | Pros | Cons |
| ---------- | --------------------------------------------------------------- | ------------------------------------------------------- |
| **Manual** | Precise control, optimized placement, xrpld-specific attributes | More development effort |
| **Auto** | Less code, automatic coverage | Less control, potential overhead, limited customization |
---
## 2.2 Exporter Configuration
> **OTLP** = OpenTelemetry Protocol
```mermaid
flowchart TB
subgraph nodes["xrpld Nodes"]
node1["xrpld<br/>Node 1"]
node2["xrpld<br/>Node 2"]
node3["xrpld<br/>Node 3"]
end
collector["OpenTelemetry<br/>Collector<br/>(sidecar or standalone)"]
subgraph backends["Observability Backends"]
tempo["Tempo"]
elastic["Elastic<br/>APM"]
end
node1 -->|"OTLP/HTTP<br/>:4318"| collector
node2 -->|"OTLP/HTTP<br/>:4318"| collector
node3 -->|"OTLP/HTTP<br/>:4318"| collector
collector --> tempo
collector --> elastic
style nodes fill:#0d47a1,stroke:#082f6a,color:#ffffff
style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **xrpld Nodes (blue)**: The source of telemetry data. Each xrpld node exports spans via OTLP/HTTP on port 4318 (the only exporter shipped in Phase 1b).
- **OpenTelemetry Collector (red)**: The central aggregation point that receives spans from all nodes. Can run as a sidecar (per-node) or standalone (shared). Handles batching, filtering, and routing.
- **Observability Backends (green)**: The storage and visualization destinations. Tempo is the recommended backend for both development and production, and Elastic APM is an alternative. The Collector routes to one or more backends.
- **Arrows (nodes to collector to backends)**: The data pipeline -- spans flow from nodes to the Collector over HTTP, then the Collector fans out to the configured backends.
### 2.2.1 OTLP/HTTP (Shipped in Phase 1b)
OTLP/HTTP is the only exporter wired up in Phase 1b. It is configured via
`OtlpHttpExporterOptions` with the collector traces endpoint
(`http://localhost:4318/v1/traces` by default) and a JSON content type
(binary protobuf is also available).
### 2.2.2 OTLP/gRPC (Future Work — Planned Upgrade)
OTLP/gRPC is planned as a future upgrade from the HTTP exporter. The gRPC
transport offers lower per-span overhead and tighter back-pressure semantics
than HTTP/JSON, making it attractive for production deployments once the HTTP
path is validated in earlier phases.
Required to land this upgrade:
1. Add `opentelemetry-cpp::otlp_grpc_exporter` to the Conan recipe (the
dependency already exists but is not linked in Phase 1b builds).
2. Extend `TelemetryConfig.cpp` to parse an `exporter` key (`otlp_http`
default, `otlp_grpc` opt-in) and a gRPC endpoint override.
3. In `Telemetry::start()` branch on the parsed exporter type and construct
either `OtlpHttpExporterFactory::Create(httpOpts)` or
`OtlpGrpcExporterFactory::Create(grpcOpts)` accordingly.
4. Update the runbook and dashboards to document the alternate port and TLS
settings.
When wired up, the gRPC path will use `OtlpGrpcExporterOptions` configured with
the collector endpoint (host on port 4317), TLS credentials enabled, and a CA
certificate path.
Until that work lands, `OtlpGrpcExporterOptions` is **not** used by any code
path in Phase 1b through Phase 5.
---
## 2.3 Span Naming Conventions
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **WS** = WebSocket
### 2.3.1 Naming Schema
```
<component>.<operation>[.<sub-operation>]
```
**Examples**:
- `tx.receive` - Transaction received from peer
- `consensus.phase.establish` - Consensus establish phase
- `rpc.command.server_info` - server_info RPC command
### 2.3.2 Complete Span Catalog
| Span name | Description |
| ------------------------------ | --------------------------------------- |
| `tx.receive` | Transaction received from network |
| `tx.validate` | Transaction signature/format validation |
| `tx.process` | Full transaction processing |
| `tx.relay` | Transaction relay to peers |
| `tx.apply` | Apply transaction to ledger |
| `consensus.round` | Complete consensus round |
| `consensus.phase.open` | Open phase - collecting transactions |
| `consensus.phase.establish` | Establish phase - reaching agreement |
| `consensus.phase.accept` | Accept phase - applying consensus |
| `consensus.proposal.receive` | Receive peer proposal |
| `consensus.proposal.send` | Send our proposal |
| `consensus.validation.receive` | Receive peer validation |
| `consensus.validation.send` | Send our validation |
| `rpc.request` | HTTP/WebSocket request handling |
| `rpc.command.*` | Specific RPC command (dynamic) |
| `peer.connect` | Peer connection establishment |
| `peer.disconnect` | Peer disconnection |
| `peer.message.send` | Send protocol message |
| `peer.message.receive` | Receive protocol message |
| `ledger.acquire` | Ledger acquisition from network |
| `ledger.build` | Build new ledger |
| `ledger.validate` | Ledger validation |
| `ledger.close` | Close ledger |
| `ledger.replay` | Ledger replay executed |
| `ledger.delta` | Delta-based ledger acquired |
| `pathfind.request` | Path request initiated |
| `pathfind.compute` | Path computation executed |
| `txq.enqueue` | Transaction queued |
| `txq.apply` | Queued transaction applied |
| `fee.escalate` | Fee escalation triggered |
| `validator.list.fetch` | UNL list fetched |
| `validator.manifest` | Manifest update processed |
| `amendment.vote` | Amendment voting executed |
| `shamap.sync` | State tree synchronization |
| `job.enqueue` | Job added to queue |
| `job.execute` | Job execution |
### 2.3.3 Attribute Naming Conventions
Span **names** follow §2.3.1 (dotted `<component>.<operation>`). Span
**attribute keys** follow the rules below. The constants in the `*SpanNames.h`
headers are the single source of truth; the collector, Tempo, the Grafana
dashboards, and the runbook all consume these exact keys, so every layer must
agree with the code. A CI check enforces this end to end.
1. **Per-span unique attribute** → bare field name, allowed when the field is
recorded by a single span/workflow so the span name already supplies the
domain (e.g. `command`, `version`, `local` on `rpc.command`).
2. **Shared attribute (same concept on more than one span)** → ONE key, reused
verbatim on every span that records it; the span name tells the occurrences
apart, so no per-emitter prefix is added. Name it by the field's meaning: a
property of a domain object keeps that object's bare field name (`ledger_hash`,
`ledger_seq`, `tx_hash`, `peer_id`, `full_validation`); a field already
qualified by a sub-kind keeps that qualifier on every emitter (`proposal_trusted`
on both `consensus.proposal.receive` and `peer.proposal.receive`;
`validation_trusted` likewise). Defined once in the base `SpanNames.h`
`namespace attr` block and re-exported (`using`) by each domain header.
3. **Collision qualifier**`<domain>_<field>`, only when a bare name would
collide with a DIFFERENT concept in the shared spanmetrics label space or with
the OTel-reserved `status` key (e.g. `rpc_status`, `grpc_status`,
`consensus_state`, `consensus_round`, `consensus_mode`). This disambiguates
distinct concepts that share a word; it is NOT used to tag the same concept
with its emitting workflow — that is rule 2 (one shared name).
4. **Resource attribute** → dotted `xrpl.<subsystem>.<field>`, reserved ONLY
for process/network identity set once at startup (`xrpl.network.id`,
`xrpl.network.type`). Span attributes are never dotted in the `xrpl.` form —
it blurs the resource/span scope boundary and parses awkwardly in TraceQL.
5. **Span names** use `<subsystem>[.<component>]` (dotted, per §2.3.1). Only
attribute _keys_ follow rules 14.
Standard OpenTelemetry semantic-convention keys keep their canonical dotted
form (e.g. `service.*` resource attributes, `http.*` span attributes); the
"no dotted form" rule applies to xrpl-custom keys only.
The same rules are recorded in `CONTRIBUTING.md` (the permanent home, since
`OpenTelemetryPlan/` is removed once the rollout completes). The attribute
examples in §2.4 below follow these rules.
---
## 2.4 Attribute Schema
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **OTLP** = OpenTelemetry Protocol
### 2.4.1 Resource Attributes (Set Once at Startup)
Resource attributes identify the process and are set once at startup. They use
the standard OpenTelemetry semantic conventions plus custom dotted `xrpl.*`
keys (the dotted form is reserved for resource scope per §2.3.3).
| Key | Type / value | Description |
| --------------------- | ---------------------------------------------------------- | ------------------------------ |
| `service.name` | `"xrpld"` | Standard `SERVICE_NAME` |
| `service.version` | `BuildInfo::getVersionString()` | Standard `SERVICE_VERSION` |
| `service.instance.id` | node public key (base58) | Standard `SERVICE_INSTANCE_ID` |
| `xrpl.network.id` | network id (e.g. 0 for mainnet) | Network identifier |
| `xrpl.network.type` | `"mainnet"` \| `"testnet"` \| `"devnet"` \| `"standalone"` | Network kind |
| `xrpl.node.type` | `"validator"` \| `"stock"` \| `"reporting"` | Node role |
| `xrpl.node.cluster` | cluster name | Cluster name, if clustered |
### 2.4.2 Span Attributes by Category
> Span attribute keys use the underscore form from §2.3.3 (shared/qualified
> keys are `<domain>_<field>`; per-span unique keys are bare). The dotted form
> is reserved for the resource attributes in §2.4.1 above. This catalog lists
> the planned attribute set by category; the exact emitted key for each
> implemented span is defined by the `*SpanNames.h` constants, which are the
> single source of truth where the two differ.
#### Transaction Attributes
| Key | Type | Description |
| -------------- | ------ | ------------------------------------- |
| `tx_hash` | string | Transaction hash (hex) |
| `tx_type` | string | `"Payment"`, `"OfferCreate"`, etc. |
| `tx_account` | string | Source account (redacted in prod) |
| `tx_sequence` | int64 | Account sequence number |
| `tx_fee` | int64 | Fee in drops |
| `tx_result` | string | `"tesSUCCESS"`, `"tecPATH_DRY"`, etc. |
| `ledger_index` | int64 | Ledger containing transaction |
#### Consensus Attributes
| Key | Type | Description |
| -------------------- | ------- | ----------------------------------- |
| `consensus_round` | int64 | Round number |
| `consensus_phase` | string | `"open"`, `"establish"`, `"accept"` |
| `consensus_mode` | string | `"proposing"`, `"observing"`, etc. |
| `proposers` | int64 | Number of proposers |
| `prev_ledger_prefix` | string | Previous ledger hash prefix |
| `ledger_seq` | int64 | Ledger sequence |
| `tx_count` | int64 | Transactions in consensus set |
| `round_time_ms` | float64 | Round duration |
Establish-phase gap fill and cross-node correlation attributes (Phase 4a):
| Key | Type | Description |
| --------------------- | ------ | --------------------------------------------------------- |
| `consensus_round_id` | int64 | Consensus round number |
| `consensus_ledger_id` | string | `previousLedger.id()` — shared across nodes |
| `trace_strategy` | string | `"deterministic"` or `"attribute"` |
| `converge_percent` | int64 | Convergence % (0-100+) |
| `establish_count` | int64 | Number of establish iterations |
| `disputes_count` | int64 | Active disputed transactions |
| `agree_count` | int64 | Peers that agree (haveConsensus) |
| `disagree_count` | int64 | Peers that disagree |
| `threshold_percent` | int64 | Close-time consensus threshold (`avCT_CONSENSUS_PCT`=75%) |
| `consensus_result` | string | `"yes"`, `"no"`, `"moved_on"`, `"expired"` |
| `mode_old` | string | Previous consensus mode |
| `mode_new` | string | New consensus mode |
#### RPC Attributes
| Key | Type | Description |
| ---------- | ------ | ----------------------------------------------------- |
| `command` | string | Command name (per-span unique on `rpc.command`) |
| `version` | int64 | API version |
| `rpc_role` | string | `"admin"` or `"user"` (qualified — `role` is generic) |
| `params` | string | Sanitized parameters (optional) |
#### Peer & Message Attributes
| Key | Type | Description |
| -------------------- | ------- | -------------------------- |
| `peer_id` | string | Peer public key (base58) |
| `peer_address` | string | IP:port |
| `peer_latency_ms` | float64 | Measured latency |
| `peer_cluster` | string | Cluster name if clustered |
| `message_type` | string | Protocol message type name |
| `message_size_bytes` | int64 | Message size |
| `message_compressed` | bool | Whether compressed |
#### Ledger & Job Attributes
| Key | Type | Description |
| ----------------- | ------- | --------------------- |
| `ledger_hash` | string | Ledger hash |
| `ledger_index` | int64 | Ledger sequence/index |
| `close_time` | int64 | Close time (epoch) |
| `ledger_tx_count` | int64 | Transaction count |
| `job_type` | string | Job type name |
| `job_queue_ms` | float64 | Time spent in queue |
| `job_worker` | int64 | Worker thread ID |
#### PathFinding Attributes
| Key | Type | Description |
| -------------------------- | ------ | ------------------------- |
| `pathfind_source_currency` | string | Source currency code |
| `pathfind_dest_currency` | string | Destination currency code |
| `pathfind_path_count` | int64 | Number of paths found |
| `pathfind_cache_hit` | bool | RippleLineCache hit |
#### TxQ Attributes
| Key | Type | Description |
| --------------------- | ------ | --------------------------- |
| `txq_queue_depth` | int64 | Current queue depth |
| `txq_fee_level` | int64 | Fee level of transaction |
| `txq_eviction_reason` | string | Why transaction was evicted |
#### Fee Attributes
| Key | Type | Description |
| ---------------------- | ----- | ------------------------- |
| `fee_load_factor` | int64 | Current load factor |
| `fee_escalation_level` | int64 | Fee escalation multiplier |
#### Validator Attributes
| Key | Type | Description |
| ------------------------ | ----- | ------------------------- |
| `validator_list_size` | int64 | UNL size |
| `validator_list_age_sec` | int64 | Seconds since last update |
#### Amendment Attributes
| Key | Type | Description |
| ------------------ | ------ | -------------------------------------- |
| `amendment_name` | string | Amendment name |
| `amendment_status` | string | `"enabled"`, `"vetoed"`, `"supported"` |
#### SHAMap Attributes
| Key | Type | Description |
| ---------------------- | ------- | --------------------------------------------- |
| `shamap_type` | string | `"transaction"`, `"state"`, `"account_state"` |
| `shamap_missing_nodes` | int64 | Number of missing nodes during sync |
| `shamap_duration_ms` | float64 | Sync duration |
### 2.4.3 Data Collection Summary
The following table summarizes what data is collected by category:
| Category | Attributes Collected | Purpose |
| --------------- | ---------------------------------------------------------------------------------------------------------------- | ---------------------------- |
| **Transaction** | `tx_hash`, `tx_type`, `tx_result`, `tx_fee`, `ledger_index` | Trace transaction lifecycle |
| **Consensus** | `consensus_round`, `consensus_phase`, `consensus_mode`, `proposers`, `round_time_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `rpc_status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer_id` (public key), `peer_latency_ms`, `message_type`, `message_size_bytes` | Network topology analysis |
| **Ledger** | `ledger_hash`, `ledger_index`, `close_time`, `ledger_tx_count` | Ledger progression tracking |
| **Job** | `job_type`, `job_queue_ms`, `job_worker` | JobQueue performance |
| **PathFinding** | `pathfind_fast`, `pathfind_search_level`, `pathfind_num_paths`, `pathfind_ledger_index`, `pathfind_num_requests` | Payment path analysis |
| **TxQ** | `txq_queue_depth`, `txq_fee_level`, `txq_eviction_reason` | Queue depth and fee tracking |
| **Fee** | `fee_load_factor`, `fee_escalation_level` | Fee escalation monitoring |
| **Validator** | `validator_list_size`, `validator_list_age_sec` | UNL health monitoring |
| **Amendment** | `amendment_name`, `amendment_status` | Protocol upgrade tracking |
| **SHAMap** | `shamap_type`, `shamap_missing_nodes`, `shamap_duration_ms` | State tree sync performance |
### 2.4.4 Privacy & Sensitive Data Policy
> **PII** = Personally Identifiable Information
OpenTelemetry instrumentation is designed to collect **operational metadata only**, never sensitive content.
#### Data NOT Collected
The following data is explicitly **excluded** from telemetry collection:
| Excluded Data | Reason |
| ----------------------- | ----------------------------------------- |
| **Private Keys** | Never exposed; not relevant to tracing |
| **Account Balances** | Financial data; privacy sensitive |
| **Transaction Amounts** | Financial data; privacy sensitive |
| **Raw TX Payloads** | May contain sensitive memo/data fields |
| **Personal Data** | No PII collected |
| **IP Addresses** | Configurable; excluded by default in prod |
#### Privacy Protection Mechanisms
| Mechanism | Description |
| ----------------------------- | ------------------------------------------------------------------------- |
| **Account Hashing** | `tx_account` is hashed at collector level before storage |
| **Configurable Redaction** | Sensitive fields can be excluded via `[telemetry]` config section |
| **Sampling** | Only 10% of traces recorded by default, reducing data exposure |
| **Local Control** | Node operators have full control over what gets exported |
| **No Raw Payloads** | Transaction content is never recorded, only metadata (hash, type, result) |
| **Collector-Level Filtering** | Additional redaction/hashing can be configured at OTel Collector |
#### Collector-Level Data Protection
The OpenTelemetry Collector can be configured (via an `attributes` processor)
to hash or redact sensitive attributes before export — for example, hashing
`tx_account`, deleting `peer_address` to drop IP addresses, and deleting
`params` to redact request parameters.
#### Configuration Options for Privacy
In `xrpld.cfg`, operators control data collection granularity through the
`[telemetry]` section. Besides `enabled`, per-component toggles
(`trace_transactions`, `trace_consensus`, `trace_rpc`, `trace_peer` — the last
often disabled due to high volume) select which spans are emitted, and
redaction flags (`redact_account` to hash account addresses, `redact_peer_address`
to remove peer IP addresses) control SDK-level redaction before export.
> **Note**: The `redact_account` configuration in `xrpld.cfg` controls SDK-level redaction before export, while collector-level filtering (see [Collector-Level Data Protection](#collector-level-data-protection) above) provides an additional defense-in-depth layer. Both can operate independently.
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts, raw payloads).
> **See also**: [Securing the OTel Pipeline](./secure-OTel.md) covers transport-level protection for telemetry leaving the node — mTLS to the collector and validation of incoming peer trace context. Privacy controls in this section keep sensitive data out of spans; the security doc keeps the spans themselves out of untrusted hands.
---
## 2.5 Context Propagation Design
> **WS** = WebSocket
### 2.5.0 Deterministic Trace ID Strategy
Both transaction and consensus tracing use **deterministic trace IDs** derived from
a globally known hash, so all nodes handling the same workflow independently produce
spans under the same `trace_id`. This is combined with protobuf `span_id` propagation
for parent-child relay ordering when available.
#### Transactions — `trace_id = txHash[0:16]`
Every node that handles a transaction knows its `txID` (the `uint256` transaction
hash). The first 16 bytes of this hash are used as the OTel `trace_id`:
```
uint256 txHash: A1B2C3D4 E5F6A7B8 C9D0E1F2 A3B4C5D6 E7F8A9B0 C1D2E3F4 A5B6C7D8 E9F0A1B2
|---------- trace_id (16 bytes) ---------| (remaining 16 bytes unused)
```
Each node generates a **random 8-byte `span_id`** so its span is unique within the
shared trace. When protobuf `TraceContext` is present in the incoming `TMTransaction`,
the sender's `span_id` is extracted and used as the parent — preserving the relay
chain as a parent-child tree. When absent (older peers, first hop from client), the
span appears as a root in the same trace — correlation is preserved, only the tree
structure degrades.
```
Node A (submitter) Node B (relay) Node C (relay)
trace_id: A1B2... trace_id: A1B2... trace_id: A1B2...
span_id: 1234 (random) span_id: 5678 (random) span_id: 9ABC (random)
parent: (none) parent: 1234 (proto) parent: 5678 (proto)
↑ ↑
protobuf propagation protobuf propagation
```
If protobuf propagation fails at Node B (old peer):
```
Node A Node B (old peer) Node C
trace_id: A1B2... trace_id: A1B2... trace_id: A1B2...
span_id: 1234 span_id: 5678 span_id: 9ABC
parent: (none) parent: (none) parent: 5678 (proto)
↑ no parent, but same trace_id — still grouped
```
#### Consensus — `trace_id = prevLedgerHash[0:16]`
All validators in the same consensus round share the same `previousLedger.id()`.
The first 16 bytes are used as trace_id. See [Phase 4a implementation status](./06-implementation-phases.md)
and `createDeterministicContext()` in `RCLConsensus.cpp` for the implementation.
Switchable via `consensus_trace_strategy` config:
`"deterministic"` (default) or `"attribute"` (random trace_id, correlation via attribute queries).
#### Why Not Random IDs with Propagation Only?
Random trace IDs require **unbroken context propagation** across every hop. In a
mixed-version network (common during upgrades), older peers silently drop the
`trace_context` protobuf field. The trace splits and downstream spans become
impossible to find. Deterministic IDs make correlation **propagation-resilient** — the trace
backend groups all spans for the same transaction/round regardless of whether
propagation succeeded.
#### Why Keep Protobuf Propagation?
Deterministic trace IDs alone provide correlation (all spans grouped) but not
**causality** (which node relayed to which). Protobuf `span_id` propagation adds
parent-child ordering that shows the exact relay path. The two mechanisms complement
each other:
| Mechanism | Provides | Fails when |
| ---------------------------- | --------------------------- | -------------------------------------- |
| Deterministic trace_id | Cross-node correlation | Never (hash is always known) |
| Protobuf span_id propagation | Parent-child relay ordering | Older peer drops `trace_context` field |
#### Implementation Reference
The utility function `createDeterministicTxContext(uint256 const& txHash)` follows
the same pattern as `createDeterministicContext(uint256 const& ledgerId)` in
`RCLConsensus.cpp`. See [Phase 3 Task 3.9](./Phase3_taskList.md) for the full spec.
### 2.5.1 Propagation Boundaries
```mermaid
flowchart TB
subgraph http["HTTP/WebSocket (RPC)"]
w3c["W3C Trace Context Headers:<br/>traceparent:<br/>00-trace_id-span_id-flags<br/>tracestate: xrpld=..."]
end
subgraph protobuf["Protocol Buffers (P2P)"]
proto["message TraceContext {<br/> bytes trace_id = 1; // 16 bytes<br/> bytes span_id = 2; // 8 bytes<br/> uint32 trace_flags = 3;<br/> string trace_state = 4;<br/>}"]
end
subgraph jobqueue["JobQueue (Internal Async)"]
job["Context captured at job creation,<br/>restored at execution<br/><br/>class Job {<br/> otel::context::Context<br/> traceContext_;<br/>};"]
end
style http fill:#0d47a1,stroke:#082f6a,color:#ffffff
style protobuf fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style jobqueue fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **HTTP/WebSocket - RPC (blue)**: For client-facing RPC requests, trace context is propagated using the W3C `traceparent` header. This is the standard approach and works with any OTel-compatible client.
- **Protocol Buffers - P2P (green)**: For peer-to-peer messages between xrpld nodes, trace context is embedded as a protobuf `TraceContext` message carrying trace_id, span_id, flags, and optional trace_state.
- **JobQueue - Internal Async (red)**: For asynchronous work within a single node, the OTel context is captured when a job is created and restored when the job executes on a worker thread. This bridges the async gap so spans remain linked.
---
## 2.6 Integration with Existing Observability
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### 2.6.1 Existing Frameworks Comparison
xrpld already has two observability mechanisms. OpenTelemetry complements (not replaces) them:
| Aspect | PerfLog | Beast Insight (StatsD) | OpenTelemetry |
| --------------------- | ----------------------------- | ---------------------------- | ------------------------- |
| **Type** | Logging | Metrics | Distributed Tracing |
| **Data** | JSON log entries | Counters, gauges, histograms | Spans with context |
| **Scope** | Single node | Single node | **Cross-node** |
| **Output** | `perf.log` file | StatsD server | OTLP Collector |
| **Question answered** | "What happened on this node?" | "How many? How fast?" | "What was the journey?" |
| **Correlation** | By timestamp | By metric name | By `trace_id` |
| **Overhead** | Low (file I/O) | Low (UDP packets) | Low-Medium (configurable) |
### 2.6.2 What Each Framework Does Best
#### PerfLog
- **Purpose**: Detailed local event logging for RPC and job execution
- **Strengths**:
- Rich JSON output with timing data
- Already integrated in RPC handlers
- File-based, no external dependencies
- **Limitations**:
- Single-node only (no cross-node correlation)
- No parent-child relationships between events
- Manual log parsing required
A PerfLog entry is a JSON object with fields such as `time`, `method`,
`duration_us`, and `result`.
#### Beast Insight (StatsD)
- **Purpose**: Real-time metrics for monitoring dashboards
- **Strengths**:
- Aggregated metrics (counters, gauges, histograms)
- Low overhead (UDP, fire-and-forget)
- Good for alerting thresholds
- **Limitations**:
- No request-level detail
- No causal relationships
- Single-node perspective
In xrpld, Beast Insight is used through `increment` (counters), `gauge`
(point-in-time values), and `timing` (durations) calls.
#### OpenTelemetry (NEW)
- **Purpose**: Distributed request tracing across nodes
- **Strengths**:
- **Cross-node correlation** via `trace_id`
- Parent-child span relationships
- Rich attributes per span
- Industry standard (CNCF)
- **Limitations**:
- Requires collector infrastructure
- Higher complexity than logging
A span is created via `startSpan` (e.g. `"tx.relay"`), annotated with
attributes such as `tx_hash` and `peer_id`, and is automatically linked to its
parent through the active context.
### 2.6.3 When to Use Each
| Scenario | PerfLog | StatsD | OpenTelemetry |
| --------------------------------------- | ---------- | ------ | ------------- |
| "How many TXs per second?" | ❌ | ✅ | ✅ |
| "What's the p99 RPC latency?" | ❌ | ✅ | ✅ |
| "Why was this specific TX slow?" | ⚠️ partial | ❌ | ✅ |
| "Which node delayed consensus?" | ❌ | ❌ | ✅ |
| "What happened on node X at time T?" | ✅ | ❌ | ✅ |
| "Show me the TX journey across 5 nodes" | ❌ | ❌ | ✅ |
### 2.6.4 Coexistence Strategy
```mermaid
flowchart TB
subgraph xrpld["xrpld Process"]
perflog["PerfLog<br/>(JSON to file)"]
insight["Beast Insight<br/>(StatsD)"]
otel["OpenTelemetry<br/>(Tracing)"]
end
perflog --> perffile["perf.log"]
insight --> statsd["StatsD Server"]
otel --> collector["OTLP Collector"]
perffile --> grafana["Grafana<br/>(Unified UI)"]
statsd --> grafana
collector --> grafana
style xrpld fill:#212121,stroke:#0a0a0a,color:#ffffff
style grafana fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **xrpld Process (dark gray)**: The single xrpld node running all three observability frameworks side by side. Each framework operates independently with no interference.
- **PerfLog to perf.log**: PerfLog writes JSON-formatted event logs to a local file. Grafana can ingest these via Loki or a file-based datasource.
- **Beast Insight to StatsD Server**: Insight sends aggregated metrics (counters, gauges) over UDP to a StatsD server. Grafana reads from StatsD-compatible backends like Graphite or Prometheus (via StatsD exporter).
- **OpenTelemetry to OTLP Collector**: OTel exports spans over OTLP/gRPC to a Collector, which then forwards to a trace backend (Tempo).
- **Grafana (red, unified UI)**: All three data streams converge in Grafana, enabling operators to correlate logs, metrics, and traces in a single dashboard.
### 2.6.5 Correlation with PerfLog
Trace IDs can be correlated with existing PerfLog entries for comprehensive
debugging. The design is for `RPCHandler.cpp` to start an `rpc.command.<method>`
span alongside the existing PerfLog `rpcStart`/`rpcFinish`/`rpcError` calls,
extract the span's `trace_id` (when valid), and eventually stamp it onto the
PerfLog entry (a planned `setTraceId` hook) so logs and traces share a key. The
span status is set to OK on success or to error (recording the exception) on
failure.
---
_Previous: [Architecture Analysis](./01-architecture-analysis.md)_ | _Next: [Implementation Strategy](./03-implementation-strategy.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,472 +0,0 @@
# Implementation Strategy
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Configuration Reference](./05-configuration-reference.md)
---
## 3.1 Directory Structure
The telemetry implementation follows xrpld's existing code organization pattern:
```
include/xrpl/
├── telemetry/
│ ├── Telemetry.h # Main telemetry interface (global singleton)
│ ├── TelemetryConfig.h # Configuration structures
│ ├── TraceContext.h # Context propagation utilities
│ ├── SpanGuard.h # RAII span management with factory methods + discard()
│ ├── DiscardFlag.h # Thread-local discard flag
│ └── SpanAttributes.h # Attribute helper functions
src/libxrpl/
├── telemetry/
│ ├── Telemetry.cpp # Implementation + FilteringSpanProcessor
│ ├── TelemetryConfig.cpp # Config parsing
│ ├── TraceContext.cpp # Context serialization
│ └── NullTelemetry.cpp # No-op implementation
```
---
## 3.2 Implementation Approach
<div align="center">
```mermaid
%%{init: {'flowchart': {'nodeSpacing': 20, 'rankSpacing': 30}}}%%
flowchart TB
subgraph phase1["Phase 1: Core"]
direction LR
sdk["SDK Integration"] ~~~ interface["Telemetry Interface"] ~~~ config["Configuration"]
end
subgraph phase2["Phase 2: RPC"]
direction LR
http["HTTP Context"] ~~~ rpc["RPC Handlers"]
end
subgraph phase3["Phase 3: P2P"]
direction LR
proto["Protobuf Context"] ~~~ tx["Transaction Relay"]
end
subgraph phase4["Phase 4: Consensus"]
direction LR
consensus["Consensus Rounds"] ~~~ proposals["Proposals"]
end
phase1 --> phase2 --> phase3 --> phase4
style phase1 fill:#1565c0,stroke:#0d47a1,color:#ffffff
style phase2 fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style phase3 fill:#e65100,stroke:#bf360c,color:#ffffff
style phase4 fill:#c2185b,stroke:#880e4f,color:#ffffff
```
</div>
### Key Principles
1. **Minimal Intrusion**: Instrumentation should not alter existing control flow
2. **Zero-Cost When Disabled**: Use compile-time flags and no-op implementations
3. **Backward Compatibility**: Protocol Buffer extensions use high field numbers
4. **Graceful Degradation**: Tracing failures must not affect node operation
---
## 3.3 Performance Overhead Summary
> **OTLP** = OpenTelemetry Protocol
| Metric | Overhead | Notes |
| ------------- | ---------- | ------------------------------------------------ |
| CPU | 1-3% | Of per-transaction CPU cost (~200μs baseline) |
| Memory | ~10 MB | SDK statics + batch buffer + worker thread stack |
| Network | 10-50 KB/s | Compressed OTLP export to collector |
| Latency (p99) | <2% | With proper sampling configuration |
---
## 3.4 Detailed CPU Overhead Analysis
### 3.4.1 Per-Operation Costs
> **Note on hardware assumptions**: The costs below are based on the official OTel C++ SDK CI benchmarks
> (969 runs on GitHub Actions 2-core shared runners). On production server hardware (3+ GHz Xeon),
> expect costs at the **lower end** of each range (~30-50% improvement over CI hardware).
| Operation | Time (ns) | Frequency | Impact |
| --------------------- | --------- | ---------------------- | ---------- |
| Span creation | 500-1000 | Every traced operation | Low |
| Span end | 100-200 | Every traced operation | Low |
| SetAttribute (string) | 80-120 | 3-5 per span | Low |
| SetAttribute (int) | 40-60 | 2-3 per span | Negligible |
| AddEvent | 100-200 | 0-2 per span | Low |
| Context injection | 150-250 | Per outgoing message | Low |
| Context extraction | 100-180 | Per incoming message | Low |
| GetCurrent context | 10-20 | Thread-local access | Negligible |
**Source**: Span creation based on OTel C++ SDK `BM_SpanCreation` benchmark (AlwaysOnSampler +
SimpleSpanProcessor + InMemoryExporter), median ~1,000 ns on CI hardware. AddEvent includes
timestamp read + string copy + vector push + mutex acquisition. Context injection/extraction
confirmed by `BM_SpanCreationWithScope` benchmark delta (~160 ns).
### 3.4.2 Transaction Processing Overhead
<div align="center">
```mermaid
%%{init: {'pie': {'textPosition': 0.75}}}%%
pie showData
"tx.receive (1400ns)" : 1400
"tx.validate (1200ns)" : 1200
"tx.relay (1200ns)" : 1200
"Context inject (200ns)" : 200
```
**Transaction Tracing Overhead (~4.0μs total)**
</div>
**Overhead percentage**: 4.0 μs / 200 μs (avg tx processing) = **~2.0%**
> **Breakdown**: Each span (tx.receive, tx.validate, tx.relay) costs ~1,000 ns for creation plus
> ~200-400 ns for 3-5 attribute sets. Context injection is ~200 ns (confirmed by benchmarks).
> On production hardware, expect ~2.6 μs total (~1.3% overhead) due to faster span creation (~500-600 ns).
### 3.4.3 Consensus Round Overhead
| Operation | Count | Cost (ns) | Total |
| ---------------------- | ----- | --------- | ---------- |
| consensus.round span | 1 | ~1200 | ~1.2 μs |
| consensus.phase spans | 3 | ~1100 | ~3.3 μs |
| proposal.receive spans | ~20 | ~1100 | ~22 μs |
| proposal.send spans | ~3 | ~1100 | ~3.3 μs |
| Context operations | ~30 | ~200 | ~6 μs |
| **TOTAL** | | | **~36 μs** |
> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for 1-2 attributes, totaling ~1,100-1,200 ns.
> Context operations remain ~200 ns (confirmed by benchmarks). On production hardware, expect ~24 μs total.
**Overhead percentage**: 36 μs / 3s (typical round) = **~0.001%** (negligible)
### 3.4.4 RPC Request Overhead
| Operation | Cost (ns) |
| ---------------- | ------------ |
| rpc.request span | ~1200 |
| rpc.command span | ~1100 |
| Context extract | ~250 |
| Context inject | ~200 |
| **TOTAL** | **~2.75 μs** |
> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for attributes (command name,
> version, role). Context extract/inject costs are confirmed by OTel C++ benchmarks.
- Fast RPC (1ms): 2.75 μs / 1ms = **~0.275%**
- Slow RPC (100ms): 2.75 μs / 100ms = **~0.003%**
---
## 3.5 Memory Overhead Analysis
> **OTLP** = OpenTelemetry Protocol
### 3.5.1 Static Memory
| Component | Size | Allocated |
| ------------------------------------ | ----------- | ---------- |
| TracerProvider singleton | ~64 KB | At startup |
| BatchSpanProcessor (circular buffer) | ~16 KB | At startup |
| BatchSpanProcessor (worker thread) | ~8 MB | At startup |
| OTLP exporter (gRPC channel init) | ~256 KB | At startup |
| Propagator registry | ~8 KB | At startup |
| **Total static** | **~8.3 MB** | |
> **Why higher than earlier estimate**: The BatchSpanProcessor's circular buffer itself is only ~16 KB
> (2049 x 8-byte `AtomicUniquePtr` entries), but it spawns a dedicated worker thread whose default
> stack size on Linux is ~8 MB. The OTLP gRPC exporter allocates memory for channel stubs and TLS
> initialization. The worker thread stack dominates the static footprint.
### 3.5.2 Dynamic Memory
| Component | Size per unit | Max units | Peak |
| -------------------- | -------------- | ---------- | --------------- |
| Active span | ~500-800 bytes | 1000 | ~500-800 KB |
| Queued span (export) | ~500 bytes | 2048 | ~1 MB |
| Attribute storage | ~80 bytes | 5 per span | Included |
| Context storage | ~64 bytes | Per thread | ~6.4 KB |
| **Total dynamic** | | | **~1.5-1.8 MB** |
> **Why active spans are larger**: An active `Span` object includes the wrapper (~88 bytes: shared_ptr,
> mutex, unique_ptr to Recordable) plus `SpanData` (~250 bytes: SpanContext, timestamps, name, status,
> empty containers) plus attribute storage (~200-500 bytes for 3-5 string attributes in a `std::map`).
> Source: `sdk/src/trace/span.h` and `sdk/include/opentelemetry/sdk/trace/span_data.h`.
> Queued spans release the wrapper, keeping only `SpanData` + attributes (~500 bytes).
### 3.5.3 Memory Growth Characteristics
```mermaid
---
config:
xyChart:
width: 700
height: 400
---
xychart-beta
title "Memory Usage vs Span Rate (bounded by queue limit)"
x-axis "Spans/second" [0, 200, 400, 600, 800, 1000]
y-axis "Memory (MB)" 0 --> 12
line [8.5, 9.2, 9.6, 9.9, 10.0, 10.0]
```
**Notes**:
- Memory increases with span rate but **plateaus at queue capacity** (default 2048 spans)
- Batch export prevents unbounded growth
- At queue limit, oldest spans are dropped (not blocked)
- Maximum memory is bounded: ~8.3 MB static (dominated by worker thread stack) + 2048 queued spans x ~500 bytes (~1 MB) + active spans (~0.8 MB) ≈ **~10 MB ceiling**
- The worker thread stack (~8 MB) is virtual memory; actual RSS depends on stack usage (typically much less)
### 3.5.4 Performance Data Sources
The overhead estimates in Sections 3.3-3.5 are derived from the following sources:
| Source | What it covers | URL |
| ------------------------------------------------ | ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| OTel C++ SDK CI benchmarks (969 runs) | Span creation, context activation, sampler overhead | [Benchmark Dashboard](https://open-telemetry.github.io/opentelemetry-cpp/benchmarks/) |
| `api/test/trace/span_benchmark.cc` | API-level span creation (~22 ns no-op) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/api/test/trace/span_benchmark.cc) |
| `sdk/test/trace/sampler_benchmark.cc` | SDK span creation with samplers (~1,000 ns AlwaysOn) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/test/trace/sampler_benchmark.cc) |
| `sdk/include/.../span_data.h` | SpanData memory layout (~250 bytes base) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/span_data.h) |
| `sdk/src/trace/span.h` | Span wrapper memory layout (~88 bytes) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/src/trace/span.h) |
| `sdk/include/.../batch_span_processor_options.h` | Default queue size (2048), batch size (512) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/batch_span_processor_options.h) |
| `sdk/include/.../circular_buffer.h` | CircularBuffer implementation (AtomicUniquePtr array) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/common/circular_buffer.h) |
| OTLP proto definition | Serialized span size estimation | [Proto](https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/trace/v1/trace.proto) |
---
## 3.6 Network Overhead Analysis
### 3.6.1 Export Bandwidth
> **Bytes per span**: Estimates use ~500 bytes/span (conservative upper bound). OTLP protobuf analysis
> shows a typical span with 3-5 string attributes serializes to ~200-300 bytes raw; with gzip
> compression (~60-70% of raw) and batching (amortized headers), ~350 bytes/span is more realistic.
> The table uses the conservative estimate for capacity planning.
| Sampling Rate | Spans/sec | Bandwidth | Notes |
| ------------- | --------- | --------- | ---------------- |
| 100% | ~500 | ~250 KB/s | Development only |
| 10% | ~50 | ~25 KB/s | Staging |
| 1% | ~5 | ~2.5 KB/s | Production |
| Error-only | ~1 | ~0.5 KB/s | Minimal overhead |
### 3.6.2 Trace Context Propagation
| Message Type | Context Size | Messages/sec | Overhead |
| ---------------------- | ------------ | ------------ | ----------- |
| TMTransaction | 25 bytes | ~100 | ~2.5 KB/s |
| TMProposeSet | 25 bytes | ~10 | ~250 B/s |
| TMValidation | 25 bytes | ~50 | ~1.25 KB/s |
| **Total P2P overhead** | | | **~4 KB/s** |
---
## 3.7 Optimization Strategies
### 3.7.1 Sampling Strategies
#### Tail Sampling
```mermaid
flowchart TD
trace["New Trace"]
trace --> errors{"Is Error?"}
errors -->|Yes| sample["SAMPLE"]
errors -->|No| consensus{"Is Consensus?"}
consensus -->|Yes| sample
consensus -->|No| slow{"Is Slow?"}
slow -->|Yes| sample
slow -->|No| prob{"Random < 10%?"}
prob -->|Yes| sample
prob -->|No| drop["DROP"]
style sample fill:#4caf50,stroke:#388e3c,color:#fff
style drop fill:#f44336,stroke:#c62828,color:#fff
```
### 3.7.2 Batch Tuning Recommendations
| Environment | Batch Size | Batch Delay | Max Queue |
| ------------------ | ---------- | ----------- | --------- |
| Low-latency | 128 | 1000ms | 512 |
| High-throughput | 1024 | 10000ms | 8192 |
| Memory-constrained | 256 | 2000ms | 512 |
### 3.7.3 Conditional Instrumentation
Instrumentation is gated on two levels. A compile-time feature flag (`XRPL_ENABLE_TELEMETRY`) reduces the trace macros to no-ops when telemetry is built out, so disabled builds carry zero cost. At runtime, per-component guards (e.g. `shouldTracePeer()`) skip span creation for components whose tracing is turned off, incurring no overhead beyond a single boolean check.
---
## 3.8 Links to Detailed Documentation
- **[Configuration Reference](./05-configuration-reference.md)**: Configuration options and collector setup
- **[Implementation Phases](./06-implementation-phases.md)**: Detailed timeline and milestones
---
## 3.9 Code Intrusiveness Assessment
> **TxQ** = Transaction Queue
This section provides a detailed assessment of how intrusive the OpenTelemetry integration is to the existing xrpld codebase.
### 3.9.1 Files Modified Summary
| Component | Files Modified | Lines Added | Lines Changed | Architectural Impact |
| --------------------- | -------------- | ----------- | ------------- | -------------------- |
| **Core Telemetry** | 7 new files | ~800 | 0 | None (new module) |
| **Application Init** | 2 files | ~30 | ~5 | Minimal |
| **RPC Layer** | 3 files | ~80 | ~20 | Minimal |
| **Transaction Relay** | 4 files | ~120 | ~40 | Low |
| **Consensus** | 3 files | ~100 | ~30 | Low-Medium |
| **Protocol Buffers** | 1 file | ~25 | 0 | Low |
| **CMake/Build** | 3 files | ~50 | ~10 | Minimal |
| **PathFinding** | 2 | ~80 | ~5 | Minimal |
| **TxQ/Fee** | 2 | ~60 | ~5 | Minimal |
| **Validator/Amend** | 3 | ~40 | ~5 | Minimal |
| **Total** | **~27 files** | **~1,490** | **~120** | **Low** |
### 3.9.2 Detailed File Impact
```mermaid
pie title Code Changes by Component
"New Telemetry Module" : 800
"Transaction Relay" : 160
"Consensus" : 130
"RPC Layer" : 100
"PathFinding" : 80
"TxQ/Fee" : 60
"Validator/Amendment" : 40
"Application Init" : 35
"Protocol Buffers" : 25
"Build System" : 60
```
#### New Files (No Impact on Existing Code)
| File | Lines | Purpose |
| ------------------------------------------- | ----- | ----------------------------------------------------- |
| `include/xrpl/telemetry/Telemetry.h` | ~160 | Main interface (global singleton) |
| `include/xrpl/telemetry/SpanGuard.h` | ~250 | RAII wrapper + factory methods + discard + no-op stub |
| `include/xrpl/telemetry/DiscardFlag.h` | ~28 | Thread-local discard flag |
| `include/xrpl/telemetry/TraceContext.h` | ~80 | Context propagation |
| `src/libxrpl/telemetry/Telemetry.cpp` | ~400 | Implementation + FilteringSpanProcessor |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | ~60 | Config parsing |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | ~40 | No-op implementation |
#### Modified Files (Existing Xrpld Code)
| File | Lines Added | Lines Changed | Risk Level |
| ------------------------------------------------- | ----------- | ------------- | ---------- |
| `src/xrpld/app/main/Application.cpp` | ~15 | ~3 | Low |
| `include/xrpl/core/ServiceRegistry.h` | ~5 | ~2 | Low |
| `src/xrpld/rpc/detail/ServerHandler.cpp` | ~40 | ~10 | Low |
| `src/xrpld/rpc/handlers/*.cpp` | ~30 | ~8 | Low |
| `src/xrpld/overlay/detail/PeerImp.cpp` | ~60 | ~15 | Medium |
| `src/xrpld/overlay/detail/OverlayImpl.cpp` | ~30 | ~10 | Medium |
| `src/xrpld/app/consensus/RCLConsensus.cpp` | ~50 | ~15 | Medium |
| `src/xrpld/app/consensus/RCLConsensusAdaptor.cpp` | ~40 | ~12 | Medium |
| `src/xrpld/core/JobQueue.cpp` | ~20 | ~5 | Low |
| `src/xrpld/app/paths/PathRequest.cpp` | ~40 | ~3 | Low |
| `src/xrpld/app/paths/Pathfinder.cpp` | ~40 | ~2 | Low |
| `src/xrpld/app/misc/TxQ.cpp` | ~40 | ~3 | Low |
| `src/xrpld/app/main/LoadManager.cpp` | ~20 | ~2 | Low |
| `src/xrpld/app/misc/ValidatorList.cpp` | ~20 | ~2 | Low |
| `src/xrpld/app/misc/AmendmentTable.cpp` | ~10 | ~2 | Low |
| `src/xrpld/app/misc/Manifest.cpp` | ~10 | ~1 | Low |
| `src/xrpld/shamap/SHAMap.cpp` | ~20 | ~3 | Low |
| `src/xrpld/overlay/detail/ripple.proto` | ~25 | 0 | Low |
| `CMakeLists.txt` | ~40 | ~8 | Low |
| `cmake/FindOpenTelemetry.cmake` | ~50 | 0 | None (new) |
### 3.9.3 Risk Assessment by Component
<div align="center">
**Do First** ↖ ↗ **Plan Carefully**
```mermaid
quadrantChart
title Code Intrusiveness Risk Matrix
x-axis Low Risk --> High Risk
y-axis Low Value --> High Value
RPC Tracing: [0.2, 0.55]
Transaction Relay: [0.55, 0.85]
Consensus Tracing: [0.75, 0.92]
Peer Message Tracing: [0.85, 0.35]
JobQueue Context: [0.3, 0.42]
Ledger Acquisition: [0.48, 0.65]
PathFinding: [0.38, 0.72]
TxQ and Fees: [0.25, 0.62]
Validator Mgmt: [0.15, 0.35]
```
**Optional** ↙ ↘ **Avoid**
</div>
#### Risk Level Definitions
| Risk Level | Definition | Mitigation |
| ---------- | ---------------------------------------------------------------- | ---------------------------------- |
| **Low** | Additive changes only; no modification to existing logic | Standard code review |
| **Medium** | Minor modifications to existing functions; clear boundaries | Comprehensive unit tests |
| **High** | Changes to core logic or data structures; potential side effects | Integration tests + staged rollout |
### 3.9.4 Architectural Impact Assessment
| Aspect | Impact | Justification |
| -------------------- | ------- | -------------------------------------------------------------------------------- |
| **Data Flow** | Minimal | Read-only instrumentation; no modification to consensus or transaction data flow |
| **Threading Model** | Minimal | Context propagation uses thread-local storage (standard OTel pattern) |
| **Memory Model** | Low | Bounded queues prevent unbounded growth; RAII ensures cleanup |
| **Network Protocol** | Low | Optional fields in protobuf (high field numbers); backward compatible |
| **Configuration** | None | New config section; existing configs unaffected |
| **Build System** | Low | Optional CMake flag; builds work without OpenTelemetry |
| **Dependencies** | Low | OpenTelemetry SDK is optional; null implementation when disabled |
### 3.9.5 Backward Compatibility
| Compatibility | Status | Notes |
| --------------- | ------- | ----------------------------------------------------- |
| **Config File** | ✅ Full | New `[telemetry]` section is optional |
| **Protocol** | ✅ Full | Optional protobuf fields with high field numbers |
| **Build** | ✅ Full | `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary |
| **Runtime** | ✅ Full | `enabled=0` produces zero overhead |
| **API** | ✅ Full | No changes to public RPC or P2P APIs |
### 3.9.6 Rollback Strategy
If issues are discovered after deployment:
1. **Immediate**: Set `enabled=0` in config and restart (zero code change)
2. **Quick**: Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`
3. **Complete**: Revert telemetry commits (clean separation makes this easy)
### 3.9.7 Code Change Examples
**Minimal RPC Instrumentation (Low Intrusiveness):** Instrumenting an RPC handler adds roughly 3-4 lines: one macro to start the span and one or two `setAttribute` calls (command name, status). The span ends automatically via RAII, so the existing control flow — process the request, send the result — is untouched.
**Consensus Instrumentation (Medium Intrusiveness):** Consensus is slightly more intrusive because child spans in later phase transitions need the round's context. Beyond the span-start and attribute macros, this requires storing the active context in a new member variable (`currentRoundContext_`) at round start. The existing round logic itself remains unchanged.
---
_Previous: [Design Decisions](./02-design-decisions.md)_ | _Next: [Configuration Reference](./05-configuration-reference.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

View File

@@ -1,270 +0,0 @@
# Configuration Reference
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Implementation Phases](./06-implementation-phases.md)
---
## 5.1 xrpld Configuration
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
### 5.1.1 Configuration File Section
The authoritative `[telemetry]` example lives in `cfg/xrpld-example.cfg`. Telemetry is disabled by default (`enabled=0`); enabling it turns on distributed tracing for transaction flow, consensus, and RPC calls, with traces exported to an OpenTelemetry Collector over OTLP. Head sampling is intentionally fixed at 1.0 (sample everything) and is not configurable — per-node head-sampling would produce broken/partial distributed traces, so volume reduction is delegated to the collector's tail sampling (see Section 7.4.2). The full option reference follows.
### 5.1.2 Configuration Options Summary
| Option | Type | Default | Description |
| -------------------------- | ------ | --------------------------------- | ---------------------------------------------------------------------------------------------------------- |
| `enabled` | bool | `false` | Enable/disable telemetry |
| `endpoint` | string | `http://localhost:4318/v1/traces` | OTLP/HTTP collector endpoint |
| `use_tls` | bool | `false` | Enable TLS for exporter connection |
| `tls_ca_cert` | string | `""` | Path to CA certificate file |
| `tls_client_cert` | string | `""` | Path to node's client certificate (PEM) for mutual TLS; empty = one-way TLS |
| `tls_client_key` | string | `""` | Path to private key (PEM) for `tls_client_cert`; required when it is set |
| `batch_size` | uint | `512` | Spans per export batch |
| `batch_delay_ms` | uint | `5000` | Max delay before sending batch (ms) |
| `max_queue_size` | uint | `2048` | Maximum queued spans |
| `trace_transactions` | bool | `true` | Enable transaction tracing |
| `trace_consensus` | bool | `true` | Enable consensus tracing |
| `trace_rpc` | bool | `true` | Enable RPC tracing |
| `trace_peer` | bool | `true` | Enable peer message tracing (high volume) |
| `trace_ledger` | bool | `true` | Enable ledger tracing |
| `tx_trace_strategy` | string | `"deterministic"` | TX trace ID strategy: `"deterministic"` (trace_id = txHash[0:16]) or `"attribute"` (random) |
| `consensus_trace_strategy` | string | `"deterministic"` | Consensus trace ID strategy: `"deterministic"` (trace_id = prevLedgerHash[0:16]) or `"attribute"` (random) |
| `service_name` | string | `"xrpld"` | Service name for traces |
| `service_instance_id` | string | `<node_pubkey>` | Instance identifier |
**Planned (not yet implemented)**: the following options appear in the design
documents but are not parsed by `TelemetryConfig.cpp` in Phase 1b and later
phases. They will be added as the corresponding subsystems are instrumented:
| Option | Planned Phase | Purpose |
| ----------------- | ------------- | ---------------------------------------- |
| `exporter` | Future | Select between OTLP/HTTP and OTLP/gRPC |
| `trace_pathfind` | Phase 2 | Path computation tracing toggle |
| `trace_txq` | Phase 3 | Transaction queue tracing toggle |
| `trace_validator` | Future | Validator list / manifest update tracing |
| `trace_amendment` | Future | Amendment voting tracing |
---
## 5.2 Configuration Parser
> **TxQ** = Transaction Queue
The parser `setupTelemetry()` in `src/libxrpl/telemetry/TelemetryConfig.cpp` reads the `[telemetry]` `Section` and populates a `Telemetry::Setup` struct, applying the defaults listed in Section 5.1.2 via `section.value_or(...)`. It derives `serviceInstanceId` from the node public key when not overridden, selects the exporter endpoint default by exporter type, and leaves the sampling ratio at its fixed 1.0 default (not read from config — see Section 7.4.2).
---
## 5.3 Application Integration
### 5.3.1 ApplicationImp Changes
> **Deferred identity**: The node public key (`nodeIdentity_`) is not
> available during `ApplicationImp`'s member initializer list — it is
> resolved later in `setup()`. The `Telemetry` object is therefore
> constructed with an empty `serviceInstanceId` and patched via
> `setServiceInstanceId()` once `setup()` has called `getNodeIdentity()`.
`ApplicationImp` (in `src/xrpld/app/main/Application.cpp`) owns a `std::unique_ptr<telemetry::Telemetry> telemetry_`. It is built in the member initializer list via `makeTelemetry(setupTelemetry(...))` with an empty `serviceInstanceId`, then patched in `setup()` by calling `setServiceInstanceId()` with the Base58 node public key (unless the user supplied a custom `service_instance_id`). `start()` and `run()` forward to `telemetry_->start()` / `telemetry_->stop()`, and `getTelemetry()` returns the owned instance.
### 5.3.2 ServiceRegistry Interface Addition
`include/xrpl/core/ServiceRegistry.h` gains a pure-virtual `telemetry::Telemetry& getTelemetry()` (with a forward declaration of `telemetry::Telemetry`), giving every component a uniform accessor for the tracing subsystem.
> **Note:** `Application` extends `ServiceRegistry`, so `getTelemetry()` is
> available on both. Components that hold a `ServiceRegistry&` (e.g.
> `NetworkOPsImp`) call `registry_.get().getTelemetry()`. Components that
> still hold an `Application&` (e.g. `ServerHandler`, `PeerImp`,
> `RCLConsensusAdaptor`) call `app_.getTelemetry()` directly.
---
## 5.4 CMake Integration
> **OTLP** = OpenTelemetry Protocol
### 5.4.1 Find OpenTelemetry Module
A `cmake/FindOpenTelemetry.cmake` module locates the OpenTelemetry C++ SDK. It first tries `find_package(opentelemetry-cpp CONFIG)`, aliasing the imported targets `OpenTelemetry::api`, `OpenTelemetry::sdk`, and `OpenTelemetry::otlp_grpc_exporter`, and falls back to `pkg-config` when no CMake config package is present.
### 5.4.2 CMakeLists.txt Changes
The top-level `CMakeLists.txt` adds an `XRPL_ENABLE_TELEMETRY` option (default `OFF`). When enabled, it runs `find_package(OpenTelemetry REQUIRED)`, defines the `XRPL_ENABLE_TELEMETRY` compile flag, and builds the `xrpl_telemetry` library from the real telemetry sources linked against the OpenTelemetry targets; when disabled, it builds the same target from a no-op `NullTelemetry.cpp` so call sites compile unchanged.
---
## 5.5 OpenTelemetry Collector Configuration
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
> **Production hardening**: The configurations in this section are starting points. For production deployments where xrpld ships telemetry across a network to a centrally-hosted collector, see [Securing the OTel Pipeline](./secure-OTel.md) for the required mTLS receiver config, NetworkPolicy, and peer trace-context validation.
The authoritative collector config lives in the repo at `docker/telemetry/otel-collector-config.yaml` (with Tempo backend config in `docker/telemetry/tempo.yaml`). The sections below summarize the development and production shapes of that pipeline.
### 5.5.1 Development Configuration
The development collector enables an OTLP receiver on both gRPC (`0.0.0.0:4317`) and HTTP (`0.0.0.0:4318`), a single `batch` processor (1s timeout, batch size 100), and two exporters: a `logging` exporter for console debugging and `otlp/tempo` (insecure) for trace visualization. The single `traces` pipeline wires receiver → batch → both exporters.
### 5.5.2 Production Configuration
The production collector adds TLS on the OTLP gRPC receiver and a richer processor chain: a `memory_limiter` (OOM guard), `batch` (5s timeout, size 512), `tail_sampling`, and an `attributes` processor that hashes sensitive fields (e.g. `tx_account`) and stamps `deployment.environment`. Tail sampling keeps all `ERROR` traces, slow consensus rounds (>5s) and slow RPC requests (>1s), and probabilistically samples the remainder at 10%. Exporters target Grafana Tempo (TLS) and Elastic APM; `health_check` and `zpages` extensions are enabled for operability.
---
## 5.6 Docker Compose Development Environment
> **OTLP** = OpenTelemetry Protocol
The authoritative development stack lives in the repo at `docker/telemetry/docker-compose.yml`. It brings up four services on a shared `xrpld-telemetry` network: an `otel-collector` (otel/opentelemetry-collector-contrib) exposing OTLP gRPC `4317`, OTLP HTTP `4318`, and health check `13133`; `tempo` for trace storage/visualization; `grafana` with provisioned datasources and dashboards (anonymous admin enabled); and an optional `prometheus` for metric correlation.
---
## 5.7 Configuration Architecture
> **OTLP** = OpenTelemetry Protocol
```mermaid
flowchart TB
subgraph config["Configuration Sources"]
cfgFile["xrpld.cfg<br/>[telemetry] section"]
cmake["CMake<br/>XRPL_ENABLE_TELEMETRY"]
end
subgraph init["Initialization"]
parse["setupTelemetry()"]
factory["makeTelemetry()"]
end
subgraph runtime["Runtime Components"]
tracer["TracerProvider"]
exporter["OTLP Exporter"]
processor["BatchProcessor"]
end
subgraph collector["Collector Pipeline"]
recv["Receivers"]
proc["Processors"]
exp["Exporters"]
end
cfgFile --> parse
cmake -->|"compile flag"| parse
parse --> factory
factory --> tracer
tracer --> processor
processor --> exporter
exporter -->|"OTLP"| recv
recv --> proc
proc --> exp
style config fill:#e3f2fd,stroke:#1976d2
style runtime fill:#e8f5e9,stroke:#388e3c
style collector fill:#fff3e0,stroke:#ff9800
```
**Reading the diagram:**
- **Configuration Sources**: `xrpld.cfg` provides runtime settings (endpoint, sampling) while the CMake flag controls whether telemetry is compiled in at all.
- **Initialization**: `setupTelemetry()` parses config values, then `makeTelemetry()` constructs the provider, processor, and exporter objects.
- **Runtime Components**: The `TracerProvider` creates spans, the `BatchProcessor` buffers them, and the `OTLP Exporter` serializes and sends them over the wire.
- **OTLP arrow to Collector**: Trace data leaves the xrpld process via OTLP (gRPC or HTTP) and enters the external Collector pipeline.
- **Collector Pipeline**: `Receivers` ingest OTLP data, `Processors` apply sampling/filtering/enrichment, and `Exporters` forward traces to storage backends (Tempo, etc.).
---
## 5.8 Grafana Integration
> **APM** = Application Performance Monitoring
Step-by-step instructions for integrating xrpld traces with Grafana.
### 5.8.1 Data Source Configuration
#### Tempo (Recommended)
A Tempo datasource (`grafana/provisioning/datasources/tempo.yaml`, provisioned from `docker/telemetry/grafana/`) points at `http://tempo:3200` and enables `tracesToLogs` (linking to Loki on `service.name`/`tx_hash` and mapping `trace_id``traceID`), `serviceMap` against Prometheus, the node graph, and Loki search.
#### Elastic APM
Alternatively, an Elasticsearch datasource (`grafana/provisioning/datasources/elastic-apm.yaml`) of type `elasticsearch` points at `http://elasticsearch:9200` against the `apm-*` index, using `@timestamp` as the time field and mapping the log message/level fields.
### 5.8.2 Dashboard Provisioning
A dashboard provider (`grafana/provisioning/dashboards/dashboards.yaml`) loads the `xrpld` dashboard folder from disk (`/var/lib/grafana/dashboards/rippled`), polling for changes every 30s with deletion disabled.
### 5.8.3 Example Dashboard: RPC Performance
An example `xrpld RPC Performance` dashboard (uid `xrpld-rpc-performance`) sourced from Tempo via TraceQL provides four panels: RPC latency by command (heatmap), RPC error rate by command (timeseries), the top 10 slowest RPC commands by average duration (table), and a recent-traces table.
### 5.8.4 Example Dashboard: Transaction Tracing
An example `xrpld Transaction Tracing` dashboard (uid `xrpld-tx-tracing`) over Tempo provides three panels: transaction throughput (`tx.receive` rate, stat), cross-node relay count (average `span.relay_count` on `tx.relay`, timeseries), and a table of transaction validation errors (`tx.validate` with `status.code=error`).
### 5.8.5 TraceQL Query Examples
Common queries for xrpld traces:
```
# Find all traces for a specific transaction hash
{resource.service.name="xrpld" && span.tx_hash="ABC123..."}
# Find slow RPC commands (>100ms)
{resource.service.name="xrpld" && name=~"rpc.command.*"} | duration > 100ms
# Find consensus rounds taking >5 seconds
{resource.service.name="xrpld" && name="consensus.round"} | duration > 5s
# Find failed transactions with error details
{resource.service.name="xrpld" && name="tx.validate" && status.code=error}
# Find transactions relayed to many peers
{resource.service.name="xrpld" && name="tx.relay"} | span.relay_count > 10
# Compare latency across nodes
{resource.service.name="xrpld" && name="rpc.command.account_info"} | avg(duration) by (resource.service.instance.id)
```
### 5.8.6 Correlation with PerfLog
To correlate OpenTelemetry traces with existing PerfLog data:
**Step 1: Configure Loki to ingest PerfLog**
Configure a Promtail scrape job (`promtail-config.yaml`) that tails `/var/log/rippled/perf*.log`, parses each JSON line, and promotes `trace_id`, `ledger_seq`, and `tx_hash` to Loki labels.
**Step 2: Add trace_id to PerfLog entries**
Modify PerfLog so its JSON output includes a `trace_id` field whenever a valid span is active: fetch the current span from the OpenTelemetry runtime context, and if its context is valid, render the trace ID as a 32-character lowercase hex string into the log entry.
**Step 3: Configure Grafana trace-to-logs link**
In the Tempo datasource, set the `tracesToLogs` derived field to link to Loki on the `trace_id` and `tx_hash` tags, with `filterByTraceID: true`.
### 5.8.7 Correlation with Insight/StatsD Metrics
To correlate traces with existing Beast Insight metrics:
**Step 1: Export Insight metrics to Prometheus**
Add a Prometheus scrape job (`prometheus.yaml`) named `xrpld-statsd` targeting the StatsD exporter at `statsd-exporter:9102`.
**Step 2: Add exemplars to metrics**
The OpenTelemetry SDK automatically adds exemplars (trace IDs) to metrics when using the Prometheus exporter, linking metric spikes to specific traces.
**Step 3: Configure Grafana metric-to-trace link**
In the Prometheus datasource, set `exemplarTraceIdDestinations` to map the `trace_id` exemplar to the Tempo datasource.
**Step 4: Dashboard panel with exemplars**
Add a timeseries panel over Prometheus (e.g. `histogram_quantile(0.99, rate(xrpld_rpc_duration_seconds_bucket[5m]))`) with `exemplar: true` enabled.
This allows clicking on metric data points to jump directly to the related trace.
---
_Previous: [Implementation Strategy](./03-implementation-strategy.md)_ | _Next: [Implementation Phases](./06-implementation-phases.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,670 +0,0 @@
# Implementation Phases
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Configuration Reference](./05-configuration-reference.md) | [Observability Backends](./07-observability-backends.md)
---
## 6.1 Phase Overview
> **TxQ** = Transaction Queue
```mermaid
gantt
title OpenTelemetry Implementation Timeline
dateFormat YYYY-MM-DD
axisFormat Week %W
section Phase 1
Core Infrastructure :p1, 2024-01-01, 2w
SDK Integration :p1a, 2024-01-01, 4d
Telemetry Interface :p1b, after p1a, 3d
Configuration & CMake :p1c, after p1b, 3d
Unit Tests :p1d, after p1c, 2d
Buffer & Integration :p1e, after p1d, 2d
section Phase 2
RPC Tracing :p2, after p1, 2w
HTTP Context Extraction :p2a, after p1, 2d
RPC Handler Instrumentation :p2b, after p2a, 4d
PathFinding Instrumentation :p2f, after p2b, 2d
TxQ Instrumentation :p2g, after p2f, 2d
WebSocket Support :p2c, after p2g, 2d
Integration Tests :p2d, after p2c, 2d
Buffer & Review :p2e, after p2d, 4d
section Phase 3
Transaction Tracing :p3, after p2, 2w
Protocol Buffer Extension :p3a, after p2, 2d
PeerImp Instrumentation :p3b, after p3a, 3d
Fee Escalation Instrumentation :p3f, after p3b, 2d
Relay Context Propagation :p3c, after p3f, 3d
Multi-node Tests :p3d, after p3c, 2d
Buffer & Review :p3e, after p3d, 4d
section Phase 4
Consensus Tracing :p4, after p3, 2w
Consensus Round Spans :p4a, after p3, 3d
Proposal Handling :p4b, after p4a, 3d
Establish Phase (4a) :p4f, after p4b, 3d
Validation Tests :p4c, after p4f, 4d
Buffer & Review :p4e, after p4c, 4d
section Phase 5
Documentation & Deploy :p5, after p4, 1w
```
---
## 6.2 Phase 1: Core Infrastructure (Weeks 1-2)
**Objective**: Establish foundational telemetry infrastructure
### Tasks
| Task | Description |
| ---- | ----------------------------------------------------- |
| 1.1 | Add OpenTelemetry C++ SDK to Conan/CMake |
| 1.2 | Implement `Telemetry` interface and factory |
| 1.3 | Implement `SpanGuard` RAII wrapper |
| 1.4 | Implement configuration parser |
| 1.5 | Integrate into `ApplicationImp` |
| 1.6 | Add conditional compilation (`XRPL_ENABLE_TELEMETRY`) |
| 1.7 | Create `NullTelemetry` no-op implementation |
| 1.8 | Unit tests for core infrastructure |
### Exit Criteria
- [ ] OpenTelemetry SDK compiles and links
- [ ] Telemetry can be enabled/disabled via config
- [ ] Basic span creation works
- [ ] No performance regression when disabled
- [ ] Unit tests passing
---
## 6.3 Phase 2: RPC Tracing (Weeks 3-4)
> **TxQ** = Transaction Queue
**Objective**: Complete tracing for all RPC operations
### Tasks
| Task | Description |
| ---- | -------------------------------------------------------------------------- |
| 2.1 | Implement W3C Trace Context HTTP header extraction |
| 2.2 | Instrument `ServerHandler::onRequest()` |
| 2.3 | Instrument `RPCHandler::doCommand()` |
| 2.4 | Add RPC-specific attributes |
| 2.5 | Instrument WebSocket handler |
| 2.6 | PathFinding instrumentation (`pathfind.request`, `pathfind.compute` spans) |
| 2.7 | TxQ instrumentation (`txq.enqueue`, `txq.apply` spans) |
| 2.8 | Integration tests for RPC tracing |
| 2.9 | Performance benchmarks |
| 2.10 | Documentation |
### Exit Criteria
- [ ] All RPC commands traced
- [ ] Trace context propagates from HTTP headers
- [ ] WebSocket and HTTP both instrumented
- [ ] <1ms overhead per RPC call
- [ ] Integration tests passing
---
## 6.4 Phase 3: Transaction Tracing (Weeks 5-6)
**Objective**: Trace transaction lifecycle across network with deterministic cross-node correlation
### Tasks
| Task | Description |
| ---- | -------------------------------------------------------------- |
| 3.1 | Define `TraceContext` Protocol Buffer message |
| 3.2 | Implement protobuf context serialization |
| 3.3 | Instrument `PeerImp::handleTransaction()` |
| 3.4 | Instrument `NetworkOPs::submitTransaction()` |
| 3.5 | Instrument HashRouter integration |
| 3.6 | Fee escalation instrumentation (`fee.escalate` span) |
| 3.7 | Implement relay context propagation |
| 3.8 | Integration tests (multi-node) |
| 3.9 | Deterministic transaction trace ID (`trace_id = txHash[0:16]`) |
| 3.10 | Performance benchmarks |
### Deterministic Trace ID (Task 3.9)
Transaction spans use **deterministic trace IDs** derived from the transaction hash:
`trace_id = txHash[0:16]`. All nodes handling the same transaction independently
produce spans under the same trace_id. Protobuf `span_id` propagation (Task 3.7)
additionally provides parent-child relay ordering when available. See
[02-design-decisions.md §2.5.0](./02-design-decisions.md) for the design rationale
and [Phase3_taskList.md Task 3.9](./Phase3_taskList.md) for the full implementation spec.
### Exit Criteria
- [ ] Transaction traces span across nodes
- [ ] Trace context in Protocol Buffer messages
- [ ] HashRouter deduplication visible in traces
- [ ] Multi-node integration tests passing
- [ ] <5% overhead on transaction throughput
- [ ] Deterministic trace_id: all nodes produce same trace_id for same transaction
- [ ] Protobuf span_id propagation preserves parent-child ordering when available
---
## 6.5 Phase 4: Consensus Tracing (Weeks 7-8)
**Objective**: Full observability into consensus rounds
### Tasks
| Task | Description | Status |
| ---- | ---------------------------------------------- | ------------------ |
| 4.1 | Instrument `RCLConsensusAdaptor::startRound()` | Done (via 4a.2) |
| 4.2 | Instrument phase transitions | Done |
| 4.3 | Instrument proposal handling | Done |
| 4.4 | Instrument validation handling | Done |
| 4.5 | Add consensus-specific attributes | Done |
| 4.6 | Correlate with transaction traces | Done |
| 4.7 | Build verification and testing | Done |
| 4.8 | Validation span enrichment (ext. dashboard) | Not done |
**Note**: The original plan doc listed tasks 4.7-4.11 as "Validator list tracing",
"Amendment voting tracing", "SHAMap sync tracing", "Multi-validator integration tests",
and "Performance validation". These were descoped and replaced by the tasklist's 4.7
(build verification) and 4.8 (validation span enrichment). Validator, amendment, and
SHAMap tracing are not implemented.
### Spans Produced
| Span Name | Location | Attributes |
| --------------------------- | ------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `consensus.phase.open` | `Consensus.h` | _(none)_ |
| `consensus.proposal.send` | `RCLConsensus.cpp` | `consensus_round` |
| `consensus.ledger_close` | `RCLConsensus.cpp` | `ledger_seq`, `consensus_mode` |
| `consensus.accept` | `RCLConsensus.cpp` | `proposers`, `round_time_ms`, `quorum` |
| `consensus.accept.apply` | `RCLConsensus.cpp` | `close_time`, `close_time_correct`, `close_resolution_ms`, `consensus_state`, `proposing`, `round_time_ms`, `ledger_seq`, `parent_close_time`, `close_time_self`, `close_time_vote_bins`, `resolution_direction` |
| `consensus.validation.send` | `RCLConsensus.cpp` | `ledger_seq`, `proposing` |
### Exit Criteria
- [x] Complete consensus round traces
- [x] Phase transitions visible (open, establish, close, accept)
- [x] Proposals and validations traced send and receive; relay deferred to Phase 4b
- [x] Close time agreement tracked (per `avCT_CONSENSUS_PCT`)
- [x] No impact on consensus timing
- [ ] Multi-validator test network validated
- [x] Transaction-consensus correlation (Task 4.6) `tx.included` events in doAccept
- [ ] Validation span enrichment (Task 4.8) not implemented
### Implementation Status — Phase 4a Complete
Phase 4a (establish-phase gap fill & cross-node correlation) adds:
- **Deterministic trace ID** derived from `previousLedger.id()` so all validators
in the same round share the same `trace_id` (switchable via
`consensus_trace_strategy` config: `"deterministic"` or `"attribute"`).
See [Configuration Reference](./05-configuration-reference.md) for full
configuration options.
- **Round lifecycle spans**: `consensus.round` with round-to-round span links.
- **Establish phase**: `consensus.establish`, `consensus.update_positions` (with
`dispute.resolve` events), `consensus.check` (with threshold tracking).
- **Mode changes**: `consensus.mode_change` spans.
- **Validation**: `consensus.validation.send` with span link to round span
(thread-safe cross-thread access via `roundSpanContext_` snapshot).
- **Separation of concerns**: telemetry extracted to private helpers
(`startRoundTracing`, `createValidationSpan`, `startEstablishTracing`,
`updateEstablishTracing`, `endEstablishTracing`).
See [Phase4_taskList.md](./Phase4_taskList.md) for the full spec and implementation notes.
---
## 6.5a Phase 4a: Establish-Phase Gap Fill & Cross-Node Correlation
**Objective**: Fill tracing gaps in the establish phase and establish cross-node
correlation using deterministic trace IDs derived from `previousLedger.id()`.
**Approach**: Direct instrumentation in `Consensus.h` and `RCLConsensus.cpp`.
All spans use `SpanGuard` factory methods (`span()`, `hashSpan()`, `linkedSpan()`)
with `TraceCategory::Consensus` gating. No macros used all tracing via direct
`SpanGuard` API calls.
### Tasks
| Task | Description | Effort | Risk | Status |
| ---- | ------------------------------------------------ | ------ | ------ | ------------------------ |
| 4a.0 | Prerequisites: extend SpanGuard & Telemetry APIs | 1d | Medium | Done (no macros) |
| 4a.1 | Adaptor `getTelemetry()` method | 0.5d | Low | Skipped (not needed) |
| 4a.2 | Switchable round span with deterministic traceID | 2d | High | Done |
| 4a.3 | Span members in `Consensus.h` | 0.5d | Medium | Done (with deviation) |
| 4a.4 | Instrument `phaseEstablish()` | 1d | Medium | Done |
| 4a.5 | Instrument `updateOurPositions()` | 1d | Medium | Done |
| 4a.6 | Instrument `haveConsensus()` (thresholds) | 1d | Medium | Done |
| 4a.7 | Instrument mode changes | 0.5d | Low | Done |
| 4a.8 | Reparent existing spans under round | 0.5d | Low | Done |
| 4a.9 | Build verification and testing | 1d | Low | Done |
**Total Effort**: 9 days
### Spans Produced
| Span Name | Location | Key Attributes (actually set) |
| ---------------------------- | ------------------ | ----------------------------------------------------------------------------------------------------------------------------- |
| `consensus.round` | `RCLConsensus.cpp` | `consensus_round_id`, `consensus_ledger_id`, `ledger_seq`, `consensus_mode`, `trace_strategy` |
| `consensus.establish` | `Consensus.h` | `converge_percent`, `establish_count`, `proposers` |
| `consensus.update_positions` | `Consensus.h` | `converge_percent`, `proposers`, `have_close_time_consensus`, `close_time_threshold`, `disputes_count`, `avalanche_threshold` |
| `consensus.check` | `Consensus.h` | `agree_count`, `disagree_count`, `converge_percent`, `have_close_time_consensus`, `threshold_percent`, `consensus_result` |
| `consensus.mode_change` | `RCLConsensus.cpp` | `mode_old`, `mode_new` |
### Exit Criteria
- [x] Establish phase internals traced (establish, update_positions, check spans)
- [x] Establish phase fully traced `disputes_count`, `avalanche_threshold`, dispute `yays`/`nays` all implemented
- [x] Cross-node correlation works via deterministic trace_id
- [x] Strategy switchable via config (`deterministic` / `attribute`)
- [x] Consecutive rounds linked via follows-from spans
- [x] Build passes with telemetry ON and OFF
- [x] No impact on consensus timing
See [Phase4_taskList.md](./Phase4_taskList.md) for full task details.
---
## 6.5b Phase 4b: Cross-Node Propagation (Future)
**Objective**: Wire `TraceContextPropagator` for P2P messages (proposals,
validations) to enable true distributed tracing between nodes.
**Status**: Design documented, NOT implemented. Protobuf fields (field 1001)
and `TraceContextPropagator` free functions exist. Wiring deferred until Phase 4a is
validated in a multi-node environment.
**Prerequisites**: Phase 4a complete and validated.
See [Phase4_taskList.md § Phase 4b](./Phase4_taskList.md) for full design.
---
## 6.6 Phase 5: Documentation & Deployment (Week 9)
**Objective**: Production readiness
### Tasks
| Task | Description |
| ---- | ----------------------------- |
| 5.1 | Operator runbook |
| 5.2 | Grafana dashboards |
| 5.3 | Alert definitions |
| 5.4 | Collector deployment examples |
| 5.5 | Developer documentation |
| 5.6 | Training materials |
| 5.7 | Final integration testing |
---
## 6.7 Risk Assessment
```mermaid
quadrantChart
title Risk Assessment Matrix
x-axis Low Impact --> High Impact
y-axis Low Likelihood --> High Likelihood
quadrant-1 Mitigate Immediately
quadrant-2 Plan Mitigation
quadrant-3 Accept Risk
quadrant-4 Monitor Closely
SDK Compat: [0.2, 0.18]
Protocol Chg: [0.75, 0.72]
Perf Overhead: [0.58, 0.42]
Context Prop: [0.4, 0.55]
Memory Leaks: [0.85, 0.25]
```
### Risk Details
| Risk | Likelihood | Impact | Mitigation |
| ------------------------------------ | ---------- | ------ | --------------------------------------- |
| Protocol changes break compatibility | Medium | High | Use high field numbers, optional fields |
| Performance overhead unacceptable | Medium | Medium | Sampling, conditional compilation |
| Context propagation complexity | Medium | Medium | Phased rollout, extensive testing |
| SDK compatibility issues | Low | Medium | Pin SDK version, fallback to no-op |
| Memory leaks in long-running nodes | Low | High | Memory profiling, bounded queues |
---
## 6.8 Success Metrics
| Metric | Target | Measurement |
| ------------------------ | -------------------------------------------------------------- | --------------------- |
| Trace coverage | >95% of transaction code paths (independent of sampling ratio) | Sampling verification |
| CPU overhead | <3% | Benchmark tests |
| Memory overhead | <10 MB | Memory profiling |
| Latency impact (p99) | <2% | Performance tests |
| Trace completeness | >99% spans with required attrs | Validation script |
| Cross-node trace linkage | >90% of multi-hop transactions | Integration tests |
---
## 6.9 Quick Wins and Crawl-Walk-Run Strategy
> **TxQ** = Transaction Queue
This section outlines a prioritized approach to maximize ROI with minimal initial investment.
### 6.9.1 Crawl-Walk-Run Overview
<div align="center">
```mermaid
flowchart TB
subgraph crawl["🐢 CRAWL (Week 1-2)"]
direction LR
c1[Core SDK Setup] ~~~ c2[RPC Tracing Only] ~~~ c3[PathFinding + TxQ Tracing] ~~~ c4[Single Node]
end
subgraph walk["🚶 WALK (Week 3-5)"]
direction LR
w1[Transaction Tracing] ~~~ w2[Fee Escalation Tracing] ~~~ w3[Cross-Node Context] ~~~ w4[Basic Dashboards]
end
subgraph run["🏃 RUN (Week 6-9)"]
direction LR
r1[Consensus Tracing] ~~~ r2[Establish Phase<br/>& Cross-Node Correlation] ~~~ r3[StatsD Integration] ~~~ r4[Production Deploy]
end
crawl --> walk --> run
style crawl fill:#1b5e20,stroke:#0d3d14,color:#fff
style walk fill:#bf360c,stroke:#8c2809,color:#fff
style run fill:#0d47a1,stroke:#082f6a,color:#fff
style c1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c4 fill:#1b5e20,stroke:#0d3d14,color:#fff
style w1 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w2 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w3 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w4 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style r1 fill:#0d47a1,stroke:#082f6a,color:#fff
style r2 fill:#0d47a1,stroke:#082f6a,color:#fff
style r3 fill:#0d47a1,stroke:#082f6a,color:#fff
style r4 fill:#0d47a1,stroke:#082f6a,color:#fff
```
</div>
**Reading the diagram:**
- **CRAWL (Weeks 1-2)**: Minimal investment -- set up the SDK, instrument RPC and PathFinding/TxQ handlers, and verify on a single node. Delivers immediate latency visibility.
- **WALK (Weeks 3-5)**: Expand to transaction lifecycle tracing, fee escalation, cross-node context propagation, and basic Grafana dashboards. This is where distributed tracing starts working.
- **RUN (Weeks 6-9)**: Full consensus instrumentation, establish-phase gap fill, cross-node correlation, StatsD integration, and production deployment with sampling and alerting.
- **Arrows (crawl → walk → run)**: Each phase builds on the prior one; you cannot skip ahead because later phases depend on infrastructure established earlier.
### 6.9.2 Quick Wins (Immediate Value)
| Quick Win | Value | When to Deploy |
| ------------------------------ | ------ | -------------- |
| **RPC Command Tracing** | High | Week 2 |
| **RPC Latency Histograms** | High | Week 2 |
| **Error Rate Dashboard** | Medium | Week 2 |
| **Transaction Submit Tracing** | High | Week 3 |
| **Consensus Round Duration** | Medium | Week 6 |
### 6.9.3 CRAWL Phase (Weeks 1-2)
**Goal**: Get basic tracing working with minimal code changes.
**What You Get**:
- RPC request/response traces for all commands
- Latency breakdown per RPC command
- PathFinding and TxQ tracing (directly impacts RPC latency)
- Error visibility with stack traces
- Basic Grafana dashboard
**Code Changes**: ~15 lines in `ServerHandler.cpp`, ~40 lines in new telemetry module
**Why Start Here**:
- RPC is the lowest-risk, highest-visibility component
- PathFinding and TxQ are RPC-adjacent and directly affect latency
- Immediate value for debugging client issues
- No cross-node complexity
- Single file modification to existing code
### 6.9.4 WALK Phase (Weeks 3-5)
**Goal**: Add transaction lifecycle tracing across nodes.
**What You Get**:
- End-to-end transaction traces from submit to relay
- Fee escalation tracing within the transaction pipeline
- Cross-node correlation (see transaction path)
- HashRouter deduplication visibility
- Relay latency metrics
**Code Changes**: ~120 lines across 4 files, plus protobuf extension
**Why Do This Second**:
- Builds on RPC tracing (transactions submitted via RPC)
- Fee escalation is integral to the transaction processing pipeline
- Moderate complexity (requires context propagation)
- High value for debugging transaction issues
### 6.9.5 RUN Phase (Weeks 6-9)
**Goal**: Full observability including consensus.
**What You Get**:
- Complete consensus round visibility
- Phase transition timing
- Validator proposal tracking
- ~~Validator list and manifest tracing~~ — descoped
- ~~Amendment voting tracing~~ — descoped
- ~~SHAMap sync tracing~~ — descoped
- Full end-to-end traces (client → RPC → TX → consensus → ledger) — partial (tx-consensus correlation not yet done)
**Code Changes**: ~100 lines across 3 consensus files
**Why Do This Last**:
- Highest complexity (consensus is critical path)
- Validator, amendment, and SHAMap components were descoped (lower priority)
- Requires thorough testing
- Lower relative value (consensus issues are rarer)
### 6.9.6 ROI Prioritization Matrix
```mermaid
quadrantChart
title Implementation ROI Matrix
x-axis Low Effort --> High Effort
y-axis Low Value --> High Value
quadrant-1 Quick Wins - Do First
quadrant-2 Major Projects - Plan Carefully
quadrant-3 Nice to Have - Optional
quadrant-4 Time Sinks - Avoid
RPC Tracing: [0.15, 0.92]
TX Submit Trace: [0.3, 0.78]
TX Relay Trace: [0.5, 0.88]
Consensus Trace: [0.72, 0.72]
Peer Msg Trace: [0.85, 0.3]
Ledger Acquire: [0.55, 0.52]
```
---
## 6.10 Definition of Done
> **TxQ** = Transaction Queue | **HA** = High Availability
Clear, measurable criteria for each phase.
### 6.10.1 Phase 1: Core Infrastructure
| Criterion | Measurement | Target |
| --------------- | ---------------------------------------------------------- | ---------------------------- |
| SDK Integration | `cmake --build` succeeds with `-DXRPL_ENABLE_TELEMETRY=ON` | ✅ Compiles |
| Runtime Toggle | `enabled=0` produces zero overhead | <0.1% CPU difference |
| Span Creation | Unit test creates and exports span | Span appears in Tempo |
| Configuration | All config options parsed correctly | Config validation tests pass |
| Documentation | Developer guide exists | PR approved |
**Definition of Done**: All criteria met, PR merged, no regressions in CI.
### 6.10.2 Phase 2: RPC Tracing
| Criterion | Measurement | Target |
| ------------------ | ---------------------------------- | -------------------------- |
| Coverage | All RPC commands instrumented | 100% of commands |
| Context Extraction | traceparent header propagates | Integration test passes |
| Attributes | Command, status, duration recorded | Validation script confirms |
| Performance | RPC latency overhead | <1ms p99 |
| Dashboard | Grafana dashboard deployed | Screenshot in docs |
**Definition of Done**: RPC traces visible in Tempo for all commands, dashboard shows latency distribution.
### 6.10.3 Phase 3: Transaction Tracing
| Criterion | Measurement | Target |
| --------------------- | ------------------------------------------------- | -------------------------------------------------------- |
| Local Trace | Submit validate TxQ traced | Single-node test passes |
| Cross-Node | Context propagates via protobuf | Multi-node test passes |
| Deterministic TraceID | Same trace_id on all nodes for same tx | Multi-node test: query by txHash[0:16] returns all spans |
| Relay Ordering | Protobuf span_id propagation creates parent-child | Tempo trace tree shows relay chain |
| Graceful Degradation | Old peer drops trace_context | Spans still grouped by deterministic trace_id |
| Relay Visibility | relay_count attribute correct | Spot check 100 txs |
| HashRouter | Deduplication visible in trace | Duplicate txs show suppressed=true |
| Performance | TX throughput overhead | <5% degradation |
**Definition of Done**: Transaction traces span 3+ nodes in test network with deterministic trace_id correlation, parent-child ordering via protobuf propagation, and performance within bounds.
### 6.10.4 Phase 4: Consensus Tracing
| Criterion | Measurement | Target |
| -------------------- | ----------------------------- | ------------------------- |
| Round Tracing | startRound creates root span | Unit test passes |
| Phase Visibility | All phases have child spans | Integration test confirms |
| Proposer Attribution | Proposer ID in attributes | Spot check 50 rounds |
| Timing Accuracy | Phase durations match PerfLog | <5% variance |
| No Consensus Impact | Round timing unchanged | Performance test passes |
**Definition of Done**: Consensus rounds fully traceable, no impact on consensus timing.
### 6.10.5 Phase 5: Production Deployment
| Criterion | Measurement | Target |
| ------------ | ---------------------------- | -------------------------- |
| Collector HA | Multiple collectors deployed | No single point of failure |
| Sampling | Tail sampling configured | 10% base + errors + slow |
| Retention | Data retained per policy | 7 days hot, 30 days warm |
| Alerting | Alerts configured | Error spike, high latency |
| Runbook | Operator documentation | Approved by ops team |
| Training | Team trained | Session completed |
**Definition of Done**: Telemetry running in production, operators trained, alerts active.
### 6.10.6 Success Metrics Summary
| Phase | Primary Metric | Secondary Metric | Deadline |
| ------- | ---------------------- | --------------------------- | ------------- |
| Phase 1 | SDK compiles and runs | Zero overhead when disabled | End of Week 2 |
| Phase 2 | 100% RPC coverage | <1ms latency overhead | End of Week 4 |
| Phase 3 | Cross-node traces work | <5% throughput impact | End of Week 6 |
| Phase 4 | Consensus fully traced | No consensus timing impact | End of Week 8 |
| Phase 5 | Production deployment | Operators trained | End of Week 9 |
---
## 6.11 Recommended Implementation Order
Based on ROI analysis, implement in this exact order:
```mermaid
flowchart TB
subgraph week1["Week 1"]
t1[1. OpenTelemetry SDK<br/>Conan/CMake integration]
t2[2. Telemetry interface<br/>SpanGuard, config]
end
subgraph week2["Week 2"]
t3[3. RPC ServerHandler<br/>instrumentation]
t4[4. Basic Tempo setup<br/>for testing]
end
subgraph week3["Week 3"]
t5[5. Transaction submit<br/>tracing]
t6[6. Grafana dashboard<br/>v1]
end
subgraph week4["Week 4"]
t7[7. Protobuf context<br/>extension]
t8[8. PeerImp tx.relay<br/>instrumentation]
end
subgraph week5["Week 5"]
t9[9. Multi-node<br/>integration tests]
t10[10. Performance<br/>benchmarks]
end
subgraph week6_8["Weeks 6-8"]
t11[11. Consensus<br/>instrumentation]
t12[12. Full integration<br/>testing]
end
subgraph week9["Week 9"]
t13[13. Production<br/>deployment]
t14[14. Documentation<br/>& training]
end
t1 --> t2 --> t3 --> t4
t4 --> t5 --> t6
t6 --> t7 --> t8
t8 --> t9 --> t10
t10 --> t11 --> t12
t12 --> t13 --> t14
style week1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style week2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style week3 fill:#bf360c,stroke:#8c2809,color:#fff
style week4 fill:#bf360c,stroke:#8c2809,color:#fff
style week5 fill:#bf360c,stroke:#8c2809,color:#fff
style week6_8 fill:#0d47a1,stroke:#082f6a,color:#fff
style week9 fill:#4a148c,stroke:#2e0d57,color:#fff
style t1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t4 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t5 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t6 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t7 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t8 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t9 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t10 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t11 fill:#0d47a1,stroke:#082f6a,color:#fff
style t12 fill:#0d47a1,stroke:#082f6a,color:#fff
style t13 fill:#4a148c,stroke:#2e0d57,color:#fff
style t14 fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Week 1 (tasks 1-2)**: Foundation work -- integrate the OpenTelemetry SDK via Conan/CMake and build the `Telemetry` interface with `SpanGuard` and config parsing.
- **Week 2 (tasks 3-4)**: First observable output -- instrument `ServerHandler` for RPC tracing and stand up Tempo so developers can see traces immediately.
- **Weeks 3-5 (tasks 5-10)**: Transaction lifecycle -- add submit tracing, build the first Grafana dashboard, extend protobuf for cross-node context, instrument `PeerImp` relay, then validate with multi-node integration tests and performance benchmarks.
- **Weeks 6-8 (tasks 11-12)**: Consensus deep-dive -- instrument consensus rounds and phases, then run full integration testing across all instrumented paths.
- **Week 9 (tasks 13-14)**: Go-live -- deploy to production with sampling/alerting configured, and deliver documentation and operator training.
- **Arrow chain (t1 ... t14)**: Strict sequential dependency; each task's output is a prerequisite for the next.
---
_Previous: [Configuration Reference](./05-configuration-reference.md)_ | _Next: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

View File

@@ -1,404 +0,0 @@
# Observability Backend Recommendations
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Implementation Phases](./06-implementation-phases.md) | [Appendix](./08-appendix.md)
---
## 7.1 Development/Testing Backends
> **OTLP** = OpenTelemetry Protocol
| Backend | Pros | Cons | Use Case |
| ---------- | ----------------------------------- | ---------------------- | ------------------- |
| **Tempo** | Cost-effective, Grafana integration | Requires Grafana stack | Local dev, CI, Prod |
| **Zipkin** | Simple, lightweight | Basic features | Quick prototyping |
### Quick Start with Tempo
```bash
# Start Tempo with OTLP support
docker run -d --name tempo \
-p 3200:3200 \
-p 4317:4317 \
-p 4318:4318 \
grafana/tempo:2.6.1
```
---
## 7.2 Production Backends
> **APM** = Application Performance Monitoring
| Backend | Pros | Cons | Use Case |
| ----------------- | ----------------------------------------- | ---------------------- | --------------------------- |
| **Grafana Tempo** | Cost-effective, Grafana integration | Requires Grafana stack | Most production deployments |
| **Elastic APM** | Full observability stack, log correlation | Resource intensive | Existing Elastic users |
| **Honeycomb** | Excellent query, high cardinality | SaaS cost | Deep debugging needs |
| **Datadog APM** | Full platform, easy setup | SaaS cost | Enterprise with budget |
### Backend Selection Flowchart
```mermaid
flowchart TD
start[Select Backend] --> budget{Budget<br/>Constraints?}
budget -->|Yes| oss[Open Source]
budget -->|No| saas{Prefer<br/>SaaS?}
oss --> existing{Existing<br/>Stack?}
existing -->|Grafana| tempo[Grafana Tempo]
existing -->|Elastic| elastic[Elastic APM]
existing -->|None| tempo
saas -->|Yes| enterprise{Enterprise<br/>Support?}
saas -->|No| oss
enterprise -->|Yes| datadog[Datadog APM]
enterprise -->|No| honeycomb[Honeycomb]
tempo --> final[Configure Collector]
elastic --> final
honeycomb --> final
datadog --> final
style start fill:#0f172a,stroke:#020617,color:#fff
style budget fill:#334155,stroke:#1e293b,color:#fff
style oss fill:#1e293b,stroke:#0f172a,color:#fff
style existing fill:#334155,stroke:#1e293b,color:#fff
style saas fill:#334155,stroke:#1e293b,color:#fff
style enterprise fill:#334155,stroke:#1e293b,color:#fff
style final fill:#0f172a,stroke:#020617,color:#fff
style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
style elastic fill:#bf360c,stroke:#8c2809,color:#fff
style honeycomb fill:#0d47a1,stroke:#082f6a,color:#fff
style datadog fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Budget Constraints? (Yes)**: Leads to open-source options. If you already run Grafana or Elastic, pick the matching backend; otherwise default to Grafana Tempo.
- **Budget Constraints? (No) → Prefer SaaS?**: If you want a managed service, choose between Datadog (enterprise support) and Honeycomb (developer-focused). If not, fall back to open-source.
- **Terminal nodes (Tempo / Elastic / Honeycomb / Datadog)**: Each represents a concrete backend choice, all of which feed into the same final step.
- **Configure Collector**: Regardless of backend, you always finish by configuring the OTel Collector to export to your chosen destination.
---
## 7.3 Recommended Production Architecture
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring | **HA** = High Availability
```mermaid
flowchart TB
subgraph validators["Validator Nodes"]
v1[xrpld<br/>Validator 1]
v2[xrpld<br/>Validator 2]
end
subgraph stock["Stock Nodes"]
s1[xrpld<br/>Stock 1]
s2[xrpld<br/>Stock 2]
end
subgraph collector["OTel Collector Cluster"]
c1[Collector<br/>DC1]
c2[Collector<br/>DC2]
end
subgraph backends["Storage Backends"]
tempo[(Grafana<br/>Tempo)]
elastic[(Elastic<br/>APM)]
archive[(S3/GCS<br/>Archive)]
end
subgraph ui["Visualization"]
grafana[Grafana<br/>Dashboards]
end
v1 -->|OTLP| c1
v2 -->|OTLP| c1
s1 -->|OTLP| c2
s2 -->|OTLP| c2
c1 --> tempo
c1 --> elastic
c2 --> tempo
c2 --> archive
tempo --> grafana
elastic --> grafana
%% Note: simplified single-collector-per-DC topology shown for clarity
style validators fill:#b71c1c,stroke:#7f1d1d,color:#ffffff
style stock fill:#0d47a1,stroke:#082f6a,color:#ffffff
style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style ui fill:#4a148c,stroke:#2e0d57,color:#ffffff
```
**Reading the diagram:**
- **Validator / Stock Nodes**: All xrpld nodes emit trace data via OTLP. Validators and stock nodes are grouped separately because they may reside in different network zones.
- **Collector Cluster (DC1, DC2)**: Regional collectors receive OTLP from nodes in their datacenter, apply processing (sampling, enrichment), and fan out to multiple backends.
- **Storage Backends**: Tempo and Elastic provide queryable trace storage; S3/GCS Archive provides long-term cold storage for compliance or post-incident analysis.
- **Grafana Dashboards**: The single visualization layer that queries both Tempo and Elastic, giving operators a unified view of all traces.
- **Data flow direction**: Nodes → Collectors → Storage → Grafana. Each arrow represents a network hop; minimizing collector-to-backend hops reduces latency.
> **Note**: Production deployments should use multiple collector instances behind a load balancer for high availability. The diagram shows a simplified single-collector topology for clarity.
---
## 7.4 Architecture Considerations
### 7.4.1 Collector Placement
| Strategy | Description | Pros | Cons |
| ------------- | -------------------- | ------------------------ | ----------------------- |
| **Sidecar** | Collector per node | Isolation, simple config | Resource overhead |
| **DaemonSet** | Collector per host | Shared resources | Complexity |
| **Gateway** | Central collector(s) | Centralized processing | Single point of failure |
**Recommendation**: Use **Gateway** pattern with regional collectors for xrpld networks:
- One collector cluster per datacenter/region
- Tail-based sampling at collector level
- Multiple export destinations for redundancy
### 7.4.2 Sampling Strategy
```mermaid
flowchart LR
subgraph head["Head Sampling (Node)"]
hs[Node-level head sampling<br/>fixed at 100%<br/>not configurable]
end
subgraph tail["Tail Sampling (Collector)"]
ts1[Keep all errors]
ts2[Keep slow >5s]
ts3[Keep 10% rest]
end
head --> tail
ts1 --> final[Final Traces]
ts2 --> final
ts3 --> final
style head fill:#0d47a1,stroke:#082f6a,color:#fff
style tail fill:#1b5e20,stroke:#0d3d14,color:#fff
style hs fill:#0d47a1,stroke:#082f6a,color:#fff
style ts1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style ts2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style ts3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style final fill:#bf360c,stroke:#8c2809,color:#fff
```
**Reading the diagram:**
- **Head Sampling (Node)**: xrpld pins head sampling at 100% (sample everything) and does not expose a configurable ratio. This is intentional: a per-node ratio would let different nodes make divergent keep/drop decisions for the same distributed trace, producing broken/partial traces. xrpld uses a `ParentBased` sampler so spans inheriting a remote parent honor the upstream decision. Volume reduction is delegated to the collector's tail sampling.
- **Tail Sampling (Collector)**: The second filter -- the collector inspects completed traces and applies rules: keep all errors, keep anything slower than 5 seconds, and keep 10% of the remainder.
- **Arrow head → tail**: All head-sampled traces flow to the collector, where tail sampling further reduces volume while preserving the most valuable data.
- **Final Traces**: The output after both sampling stages; this is what gets stored and queried. The two-stage approach balances cost with debuggability.
### 7.4.3 Data Retention
| Environment | Hot Storage | Warm Storage | Cold Archive |
| ----------- | ----------- | ------------ | ------------ |
| Development | 24 hours | N/A | N/A |
| Staging | 7 days | N/A | N/A |
| Production | 7 days | 30 days | many years |
---
## 7.5 Integration Checklist
- [ ] Choose primary backend (Tempo recommended for cost/features)
- [ ] Deploy collector cluster with high availability
- [ ] Configure tail-based sampling for error/latency traces
- [ ] Set up Grafana dashboards for trace visualization
- [ ] Configure alerts for trace anomalies
- [ ] Establish data retention policies
- [ ] Test trace correlation with logs and metrics
---
## 7.6 Grafana Dashboard Examples
Pre-built dashboards for xrpld observability.
### 7.6.1 Consensus Health Dashboard
A Tempo-backed dashboard (uid `xrpld-consensus-health`) with four panels, all driven by TraceQL:
- **Consensus Round Duration** (timeseries, ms): average `consensus.round` span duration per node instance, with yellow/red thresholds at 4s/5s.
- **Phase Duration Breakdown** (barchart): average duration of `consensus.phase.*` spans grouped by span name.
- **Proposers per Round** (stat): average of the `span.proposers` attribute on `consensus.round` spans.
- **Recent Slow Rounds (>5s)** (table): `consensus.round` spans filtered to `duration > 5s`.
The underlying TraceQL queries are listed in section 7.7.3 and used throughout this doc.
### 7.6.2 Node Overview Dashboard
A Tempo-backed dashboard (uid `xrpld-node-overview`) with four panels:
- **Active Nodes** (stat): count of distinct `resource.service.instance.id` values seen for the `xrpld` service.
- **Total Transactions (1h)** (stat): count of `tx.receive` spans.
- **Error Rate** (gauge, percent): ratio of `status.code=error` spans to all spans, with yellow/red thresholds at 1%/5%.
- **Service Map** (nodeGraph): Tempo-generated service dependency graph.
### 7.6.3 Alert Rules
Grafana provisions three TraceQL-based alert rules (group `xrpld-tracing-alerts`, evaluated every 1m) against the Tempo datasource:
- **Consensus Round Slow** (warning, `for: 5m`): fires when average `consensus.round` duration exceeds 5s.
```
{resource.service.name="xrpld" && name="consensus.round"} | avg(duration) > 5s
```
- **RPC Error Rate Spike** (critical, `for: 2m`): fires when the error rate across `rpc.command.*` spans exceeds 5%.
```
{resource.service.name="xrpld" && name=~"rpc.command.*" && status.code=error} | rate() > 0.05
```
- **Transaction Throughput Drop** (warning, `for: 10m`): fires when the `tx.receive` span rate falls below 10/s.
```
{resource.service.name="xrpld" && name="tx.receive"} | rate() < 10
```
> **Note**: The first two rules use TraceQL aggregates (`avg(duration)`, `rate()`), which require Tempo 2.3+ with TraceQL metrics enabled. Verify aggregate query support in your Tempo version before provisioning.
---
## 7.7 PerfLog and Insight Correlation
> **OTLP** = OpenTelemetry Protocol
How to correlate OpenTelemetry traces with existing xrpld observability.
### 7.7.1 Correlation Architecture
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
otel[OpenTelemetry<br/>Spans]
perflog[PerfLog<br/>JSON Logs]
insight[Beast Insight<br/>StatsD Metrics]
end
subgraph collectors["Data Collection"]
otelc[OTel Collector]
promtail[Promtail/Fluentd]
statsd[StatsD Exporter]
end
subgraph storage["Storage"]
tempo[(Tempo)]
loki[(Loki)]
prom[(Prometheus)]
end
subgraph grafana["Grafana"]
traces[Trace View]
logs[Log View]
metrics[Metrics View]
corr[Correlation<br/>Panel]
end
otel -->|OTLP| otelc --> tempo
perflog -->|JSON| promtail --> loki
insight -->|StatsD| statsd --> prom
tempo --> traces
loki --> logs
prom --> metrics
traces --> corr
logs --> corr
metrics --> corr
style xrpld fill:#0d47a1,stroke:#082f6a,color:#fff
style collectors fill:#bf360c,stroke:#8c2809,color:#fff
style storage fill:#1b5e20,stroke:#0d3d14,color:#fff
style grafana fill:#4a148c,stroke:#2e0d57,color:#fff
style otel fill:#0d47a1,stroke:#082f6a,color:#fff
style perflog fill:#0d47a1,stroke:#082f6a,color:#fff
style insight fill:#0d47a1,stroke:#082f6a,color:#fff
style otelc fill:#bf360c,stroke:#8c2809,color:#fff
style promtail fill:#bf360c,stroke:#8c2809,color:#fff
style statsd fill:#bf360c,stroke:#8c2809,color:#fff
style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
style loki fill:#1b5e20,stroke:#0d3d14,color:#fff
style prom fill:#1b5e20,stroke:#0d3d14,color:#fff
style traces fill:#4a148c,stroke:#2e0d57,color:#fff
style logs fill:#4a148c,stroke:#2e0d57,color:#fff
style metrics fill:#4a148c,stroke:#2e0d57,color:#fff
style corr fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **xrpld Node (three sources)**: A single node emits three independent data streams -- OpenTelemetry spans, PerfLog JSON logs, and Beast Insight StatsD metrics.
- **Data Collection layer**: Each stream has its own collector -- OTel Collector for spans, Promtail/Fluentd for logs, and a StatsD exporter for metrics. They operate independently.
- **Storage layer (Tempo, Loki, Prometheus)**: Each data type lands in a purpose-built store optimized for its query patterns (trace search, log grep, metric aggregation).
- **Grafana Correlation Panel**: The key integration point -- Grafana queries all three stores and links them via shared fields (`trace_id`, `tx_hash`, `ledger_seq`), enabling a single-pane debugging experience.
### 7.7.2 Correlation Fields
| Source | Field | Link To | Purpose |
| ----------- | ------------------- | ------------- | -------------------------- |
| **Trace** | `trace_id` | Logs | Find log entries for trace |
| **Trace** | `tx_hash` | Logs, Metrics | Find TX-related data |
| **Trace** | `ledger_seq` | Logs | Find ledger-related logs |
| **PerfLog** | `trace_id` (new) | Traces | Jump to trace from log |
| **PerfLog** | `ledger_seq` | Traces | Find consensus trace |
| **Insight** | `exemplar.trace_id` | Traces | Jump from metric spike |
### 7.7.3 Example: Debugging a Slow Transaction
**Step 1: Find the trace**
```
# In Grafana Explore with Tempo
{resource.service.name="xrpld" && span.tx_hash="ABC123..."}
```
**Step 2: Get the trace_id from the trace view**
```
Trace ID: 4bf92f3577b34da6a3ce929d0e0e4736
```
**Step 3: Find related PerfLog entries**
```
# In Grafana Explore with Loki
{job="xrpld"} |= "4bf92f3577b34da6a3ce929d0e0e4736"
```
**Step 4: Check Insight metrics for the time window**
```
# In Grafana with Prometheus
rate(xrpld_tx_applied_total[1m])
@ timestamp_from_trace
```
### 7.7.4 Unified Dashboard Example
A single dashboard (uid `xrpld-unified`) that ties traces, metrics, and logs together across the Tempo, Prometheus, and Loki datasources:
- **Transaction Latency (Traces)** (timeseries, Tempo): `histogram_over_time(duration)` of `tx.receive` spans.
- **Transaction Rate (Metrics)** (timeseries, Prometheus): `rate(xrpld_tx_received_total[5m])` per instance, with a data link that opens the matching `tx.receive` traces in Tempo.
- **Recent Logs** (logs, Loki): `{job="xrpld"} | json`.
- **Trace Search** (table, Tempo): all `xrpld` traces, with per-row data links on `traceID` that jump to the trace in Tempo and to the correlated logs in Loki (`{job="xrpld"} |= "<traceID>"`).
The cross-datasource data links are what make this a single-pane debugging view; the correlation fields they rely on are listed in section 7.7.2.
---
_Previous: [Implementation Phases](./06-implementation-phases.md)_ | _Next: [Appendix](./08-appendix.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Appendix
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Observability Backends](./07-observability-backends.md)
---
## 8.1 Glossary
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
| Term | Definition |
| --------------------- | ---------------------------------------------------------- |
| **Span** | A unit of work with start/end time, name, and attributes |
| **Trace** | A collection of spans representing a complete request flow |
| **Trace ID** | 128-bit unique identifier for a trace |
| **Span ID** | 64-bit unique identifier for a span within a trace |
| **Context** | Carrier for trace/span IDs across boundaries |
| **Propagator** | Component that injects/extracts context |
| **Sampler** | Decides which traces to record |
| **Exporter** | Sends spans to backend |
| **Collector** | Receives, processes, and forwards telemetry |
| **OTLP** | OpenTelemetry Protocol (wire format) |
| **W3C Trace Context** | Standard HTTP headers for trace propagation |
| **Baggage** | Key-value pairs propagated across service boundaries |
| **Resource** | Entity producing telemetry (service, host, etc.) |
| **Instrumentation** | Code that creates telemetry data |
### xrpld-Specific Terms
| Term | Definition |
| ----------------- | ------------------------------------------------------------- |
| **Overlay** | P2P network layer managing peer connections |
| **Consensus** | XRP Ledger consensus algorithm (RCL) |
| **Proposal** | Validator's suggested transaction set for a ledger |
| **Validation** | Validator's signature on a closed ledger |
| **HashRouter** | Component for transaction deduplication |
| **JobQueue** | Thread pool for asynchronous task execution |
| **PerfLog** | Existing performance logging system in xrpld |
| **Beast Insight** | Existing metrics framework in xrpld |
| **PathFinding** | Payment path computation engine for cross-currency payments |
| **TxQ** | Transaction queue managing fee-based prioritization |
| **LoadManager** | Dynamic fee escalation based on network load |
| **SHAMap** | SHA-256 hash-based map (Merkle trie variant) for ledger state |
---
## 8.2 Span Hierarchy Visualization
> **TxQ** = Transaction Queue
```mermaid
flowchart TB
subgraph trace["Trace: Transaction Lifecycle"]
rpc["rpc.request<br/>(entry point)"]
validate["tx.validate"]
relay["tx.relay<br/>(parent span)"]
subgraph peers["Peer Spans"]
p1["peer.send<br/>Peer A"]
p2["peer.send<br/>Peer B"]
p3["peer.send<br/>Peer C"]
end
subgraph pathfinding["PathFinding Spans"]
pathfind["pathfind.request"]
pathcomp["pathfind.compute"]
end
consensus["consensus.round"]
apply["tx.apply"]
subgraph txqueue["TxQ Spans"]
txq["txq.enqueue"]
txqApply["txq.apply"]
end
feeCalc["fee.escalate"]
end
subgraph validators["Validator Spans"]
valFetch["validator.list.fetch"]
valManifest["validator.manifest"]
end
rpc --> validate
rpc --> pathfind
pathfind --> pathcomp
validate --> relay
relay --> p1
relay --> p2
relay --> p3
p1 -.->|"context propagation"| consensus
consensus --> apply
apply --> txq
txq --> txqApply
txq --> feeCalc
style trace fill:#0f172a,stroke:#020617,color:#fff
style peers fill:#1e3a8a,stroke:#172554,color:#fff
style pathfinding fill:#134e4a,stroke:#0f766e,color:#fff
style txqueue fill:#064e3b,stroke:#047857,color:#fff
style validators fill:#4c1d95,stroke:#6d28d9,color:#fff
style rpc fill:#1d4ed8,stroke:#1e40af,color:#fff
style validate fill:#047857,stroke:#064e3b,color:#fff
style relay fill:#047857,stroke:#064e3b,color:#fff
style p1 fill:#0e7490,stroke:#155e75,color:#fff
style p2 fill:#0e7490,stroke:#155e75,color:#fff
style p3 fill:#0e7490,stroke:#155e75,color:#fff
style consensus fill:#fef3c7,stroke:#fde68a,color:#1e293b
style apply fill:#047857,stroke:#064e3b,color:#fff
style pathfind fill:#0e7490,stroke:#155e75,color:#fff
style pathcomp fill:#0e7490,stroke:#155e75,color:#fff
style txq fill:#047857,stroke:#064e3b,color:#fff
style txqApply fill:#047857,stroke:#064e3b,color:#fff
style feeCalc fill:#047857,stroke:#064e3b,color:#fff
style valFetch fill:#6d28d9,stroke:#4c1d95,color:#fff
style valManifest fill:#6d28d9,stroke:#4c1d95,color:#fff
```
**Reading the diagram:**
- **rpc.request (blue, top)**: The entry point — every traced transaction starts as an RPC call; this root span is the parent of all downstream work.
- **tx.validate and pathfind.request (green/teal, first fork)**: The RPC request fans out into transaction validation and, for cross-currency payments, a PathFinding branch (`pathfind.request` -> `pathfind.compute`).
- **tx.relay -> Peer Spans (teal, middle)**: After validation, the transaction is relayed to peers A, B, and C in parallel; each `peer.send` is a sibling child span showing fan-out across the network.
- **context propagation (dashed arrow)**: The dotted line from `peer.send Peer A` to `consensus.round` represents the trace context crossing a node boundary — the receiving validator picks up the same `trace_id` and continues the trace.
- **consensus.round -> tx.apply -> TxQ Spans (green, lower)**: Once consensus accepts the transaction, it is applied to the ledger; the TxQ spans (`txq.enqueue`, `txq.apply`, `fee.escalate`) capture queue depth and fee escalation behavior.
- **Validator Spans (purple, detached)**: `validator.list.fetch` and `validator.manifest` are independent workflows for UNL management — they run on their own traces and are linked to consensus via Span Links, not parent-child relationships.
---
## 8.3 References
> **OTLP** = OpenTelemetry Protocol
### OpenTelemetry Resources
1. [OpenTelemetry C++ SDK](https://github.com/open-telemetry/opentelemetry-cpp)
2. [OpenTelemetry Specification](https://opentelemetry.io/docs/specs/otel/)
3. [OpenTelemetry Collector](https://opentelemetry.io/docs/collector/)
4. [OTLP Protocol Specification](https://opentelemetry.io/docs/specs/otlp/)
### Standards
5. [W3C Trace Context](https://www.w3.org/TR/trace-context/)
6. [W3C Baggage](https://www.w3.org/TR/baggage/)
7. [Protocol Buffers](https://protobuf.dev/)
### xrpld Resources
8. [xrpld Source Code](https://github.com/XRPLF/rippled)
9. [XRP Ledger Documentation](https://xrpl.org/docs/)
10. [xrpld Overlay README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/overlay/README.md)
11. [xrpld RPC README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/rpc/README.md)
12. [xrpld Consensus README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/README.md)
---
## 8.4 Version History
| Version | Date | Author | Changes |
| ------- | ---------- | ------ | -------------------------------------------------------------- |
| 1.0 | 2026-02-12 | - | Initial implementation plan |
| 1.1 | 2026-02-13 | - | Refactored into modular documents |
| 1.2 | 2026-03-24 | - | Review fixes: accuracy corrections, cross-document consistency |
---
## 8.5 Document Index
### Plan Documents
| Document | Description |
| ---------------------------------------------------------------- | -------------------------------------------------- |
| [OpenTelemetryPlan.md](./OpenTelemetryPlan.md) | Master overview and executive summary |
| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) | Distributed tracing concepts and OTel primer |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | xrpld architecture and trace points |
| [02-design-decisions.md](./02-design-decisions.md) | SDK selection, exporters, span conventions |
| [03-implementation-strategy.md](./03-implementation-strategy.md) | Directory structure, performance analysis |
| [05-configuration-reference.md](./05-configuration-reference.md) | xrpld config, CMake, Collector configs |
| [06-implementation-phases.md](./06-implementation-phases.md) | Timeline, tasks, risks, success metrics |
| [07-observability-backends.md](./07-observability-backends.md) | Backend selection and architecture |
| [08-appendix.md](./08-appendix.md) | Glossary, references, version history |
| [secure-OTel.md](./secure-OTel.md) | Threat model and hardening (mTLS, peer validation) |
| [presentation.md](./presentation.md) | Slide deck for OTel plan overview |
### Task Lists
| Document | Description |
| ------------------------------------------ | --------------------------------------------------- |
| [Phase2_taskList.md](./Phase2_taskList.md) | RPC layer trace instrumentation |
| [Phase3_taskList.md](./Phase3_taskList.md) | Peer overlay & consensus tracing |
| [Phase4_taskList.md](./Phase4_taskList.md) | Transaction lifecycle tracing |
| [Phase5_taskList.md](./Phase5_taskList.md) | Ledger processing & advanced tracing |
| [presentation.md](./presentation.md) | Presentation slides for OpenTelemetry plan overview |
---
_Previous: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# [OpenTelemetry](00-tracing-fundamentals.md) Distributed Tracing Implementation Plan for xrpld (xrpld)
## Executive Summary
> **OTLP** = OpenTelemetry Protocol
This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the xrpld XRP Ledger node software. The plan addresses the unique challenges of a decentralized peer-to-peer system where trace context must propagate across network boundaries between independent nodes.
### Key Benefits
- **End-to-end transaction visibility**: Track transactions from submission through consensus to ledger inclusion
- **Consensus round analysis**: Understand timing and behavior of consensus phases across validators
- **RPC performance insights**: Identify slow handlers and optimize response times
- **Network topology understanding**: Visualize message propagation patterns between peers
- **Incident debugging**: Correlate events across distributed nodes during issues
### Estimated Performance Overhead
| Metric | Overhead | Notes |
| ------------- | ---------- | ----------------------------------- |
| CPU | 1-3% | Span creation and attribute setting |
| Memory | 2-5 MB | Batch buffer for pending spans |
| Network | 10-50 KB/s | Compressed OTLP export to collector |
| Latency (p99) | <2% | With proper sampling configuration |
---
## Document Structure
This implementation plan is organized into modular documents for easier navigation:
<div align="center">
```mermaid
flowchart TB
overview["📋 OpenTelemetryPlan.md<br/>(This Document)"]
subgraph fundamentals["Fundamentals"]
fund["00-tracing-fundamentals.md"]
end
subgraph analysis["Analysis & Design"]
arch["01-architecture-analysis.md"]
design["02-design-decisions.md"]
end
subgraph impl["Implementation"]
strategy["03-implementation-strategy.md"]
config["05-configuration-reference.md"]
end
subgraph deploy["Deployment & Planning"]
phases["06-implementation-phases.md"]
backends["07-observability-backends.md"]
appendix["08-appendix.md"]
secure["secure-OTel.md"]
end
overview --> fundamentals
overview --> analysis
overview --> impl
overview --> deploy
fund --> arch
arch --> design
design --> strategy
strategy --> config
config --> phases
phases --> backends
backends --> appendix
backends --> secure
style overview fill:#1b5e20,stroke:#0d3d14,color:#fff,stroke-width:2px
style fundamentals fill:#00695c,stroke:#004d40,color:#fff
style fund fill:#00695c,stroke:#004d40,color:#fff
style analysis fill:#0d47a1,stroke:#082f6a,color:#fff
style impl fill:#bf360c,stroke:#8c2809,color:#fff
style deploy fill:#4a148c,stroke:#2e0d57,color:#fff
style arch fill:#0d47a1,stroke:#082f6a,color:#fff
style design fill:#0d47a1,stroke:#082f6a,color:#fff
style strategy fill:#bf360c,stroke:#8c2809,color:#fff
style config fill:#bf360c,stroke:#8c2809,color:#fff
style phases fill:#4a148c,stroke:#2e0d57,color:#fff
style backends fill:#4a148c,stroke:#2e0d57,color:#fff
style appendix fill:#4a148c,stroke:#2e0d57,color:#fff
style secure fill:#4a148c,stroke:#2e0d57,color:#fff
```
</div>
---
## Table of Contents
| Section | Document | Description |
| ------- | ---------------------------------------------------------- | ---------------------------------------------------------------------- |
| **0** | [Tracing Fundamentals](./00-tracing-fundamentals.md) | Distributed tracing concepts, span relationships, context propagation |
| **1** | [Architecture Analysis](./01-architecture-analysis.md) | xrpld component analysis, trace points, instrumentation priorities |
| **2** | [Design Decisions](./02-design-decisions.md) | SDK selection, exporters, span naming, attributes, context propagation |
| **3** | [Implementation Strategy](./03-implementation-strategy.md) | Directory structure, key principles, performance optimization |
| **5** | [Configuration Reference](./05-configuration-reference.md) | xrpld config, CMake integration, Collector configurations |
| **6** | [Implementation Phases](./06-implementation-phases.md) | 5-phase timeline, tasks, risks, success metrics |
| **7** | [Observability Backends](./07-observability-backends.md) | Backend selection guide and production architecture |
| **8** | [Appendix](./08-appendix.md) | Glossary, references, version history |
| **Sec** | [Securing the OTel Pipeline](./secure-OTel.md) | Threat model and hardening (mTLS, peer trace-context validation) |
---
## 0. Tracing Fundamentals
This document introduces distributed tracing concepts for readers unfamiliar with the domain. It covers what traces and spans are, how parent-child and follows-from relationships model causality, how context propagates across service boundaries, and how sampling controls data volume. It also maps these concepts to xrpld-specific scenarios like transaction relay and consensus.
➡️ **[Read Tracing Fundamentals](./00-tracing-fundamentals.md)**
---
## 1. Architecture Analysis
> **WS** = WebSocket | **TxQ** = Transaction Queue
The xrpld node consists of several key components that require instrumentation for comprehensive distributed tracing. The main areas include the RPC server (HTTP/WebSocket), Overlay P2P network, Consensus mechanism (RCLConsensus), JobQueue for async task execution, PathFinding, Transaction Queue (TxQ), fee escalation (LoadManager), ledger acquisition, validator management, and existing observability infrastructure (PerfLog, Insight/StatsD, Journal logging).
Key trace points span across transaction submission via RPC, peer-to-peer message propagation, consensus round execution, ledger building, path computation, transaction queue behavior, fee escalation, and validator health. The implementation prioritizes high-value, low-risk components first: RPC handlers provide immediate value with minimal risk, while consensus tracing requires careful implementation to avoid timing impacts.
➡️ **[Read full Architecture Analysis](./01-architecture-analysis.md)**
---
## 2. Design Decisions
> **OTLP** = OpenTelemetry Protocol | **CNCF** = Cloud Native Computing Foundation
The OpenTelemetry C++ SDK is selected for its CNCF backing, active development, and native performance characteristics. Traces are exported via OTLP/gRPC (primary) or OTLP/HTTP (fallback) to an OpenTelemetry Collector, which provides flexible routing and sampling.
Span naming follows a hierarchical `<component>.<operation>` convention (e.g., `rpc.submit`, `tx.relay`, `consensus.round`). Context propagation uses W3C Trace Context headers for HTTP and embedded Protocol Buffer fields for P2P messages. The implementation coexists with existing PerfLog and Insight observability systems through correlation IDs.
**Data Collection & Privacy**: Telemetry collects only operational metadata (timing, counts, hashes) — never sensitive content (private keys, balances, amounts, raw payloads). Privacy protection includes account hashing, configurable redaction, sampling, and collector-level filtering. Node operators retain full control over telemetry configuration.
➡️ **[Read full Design Decisions](./02-design-decisions.md)**
---
## 3. Implementation Strategy
The telemetry code is organized under `include/xrpl/telemetry/` for headers and `src/libxrpl/telemetry/` for implementation. Key principles include RAII-based span management via `SpanGuard` (with `discard()` for dropping unwanted spans), a `FilteringSpanProcessor` that intercepts `OnEnd()` to prevent discarded spans from entering the export pipeline, conditional compilation with `XRPL_ENABLE_TELEMETRY`, and minimal runtime overhead through batch processing and efficient sampling.
Performance optimization strategies include head sampling fixed at 100% (intentionally not configurable, so trace keep/drop decisions stay coherent across nodes), tail-based sampling at the collector for errors and slow traces to reduce volume, batch export to reduce network overhead, and conditional instrumentation that compiles to no-ops when disabled.
➡️ **[Read full Implementation Strategy](./03-implementation-strategy.md)**
---
## 5. Configuration Reference
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
Configuration is handled through the `[telemetry]` section in `xrpld.cfg` with options for enabling/disabling, exporter selection, endpoint configuration, sampling ratios, and component-level filtering. CMake integration includes a `XRPL_ENABLE_TELEMETRY` option for compile-time control.
OpenTelemetry Collector configurations are provided for development and production (with tail-based sampling, Tempo, and Elastic APM). Docker Compose examples enable quick local development environment setup.
➡️ **[View full Configuration Reference](./05-configuration-reference.md)**
---
## 6. Implementation Phases
The implementation spans 9 weeks across 5 phases:
| Phase | Duration | Focus | Key Deliverables |
| ----- | --------- | ------------------- | --------------------------------------------------- |
| 1 | Weeks 1-2 | Core Infrastructure | SDK integration, Telemetry interface, Configuration |
| 2 | Weeks 3-4 | RPC Tracing | HTTP context extraction, Handler instrumentation |
| 3 | Weeks 5-6 | Transaction Tracing | Protocol Buffer context, Relay propagation |
| 4 | Weeks 7-8 | Consensus Tracing | Round spans, Proposal/validation tracing |
| 5 | Week 9 | Documentation | Runbook, Dashboards, Training |
**Total Effort**: 47 person-days (2 developers working in parallel)
➡️ **[View full Implementation Phases](./06-implementation-phases.md)**
---
## 7. Observability Backends
> **APM** = Application Performance Monitoring | **GCS** = Google Cloud Storage
Grafana Tempo is recommended for all environments due to its cost-effectiveness and Grafana integration, while Elastic APM is ideal for organizations with existing Elastic infrastructure.
The recommended production architecture uses a gateway collector pattern with regional collectors performing tail-based sampling, routing traces to multiple backends (Tempo for primary storage, Elastic for log correlation, S3/GCS for long-term archive).
➡️ **[View Observability Backend Recommendations](./07-observability-backends.md)**
---
## 8. Appendix
The appendix contains a glossary of OpenTelemetry and xrpld-specific terms, references to external documentation and specifications, version history for this implementation plan, and a complete document index.
➡️ **[View Appendix](./08-appendix.md)**
---
## Securing the OTel Pipeline
Threat model and hardening guidance for production deployments where xrpld nodes ship telemetry to a centrally-hosted collector across an untrusted network. Covers the two attack surfaces (collector ingress and peer trace-context spoofing) and the chosen defenses: mTLS as primary collector auth, NetworkPolicy as defense-in-depth, and source-side validation plus per-peer rate limiting for the `protocol::TraceContext` field on peer messages.
➡️ **[View Securing the OTel Pipeline](./secure-OTel.md)**
---
_This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the xrpld XRP Ledger node software. For detailed information on any section, follow the links to the corresponding sub-documents._

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# Phase 2: RPC Tracing Completion Task List
> **Goal**: Complete RPC tracing coverage with unit tests, Grafana search filters, PathFind instrumentation, and config hardening. Build on the Phase 1c SpanGuard factory foundation to achieve production-quality RPC observability.
>
> **Scope**: Unit tests for core telemetry, Grafana Tempo search filters, PathFind RPC tracing, config validation (`std::clamp`).
>
> **Branch**: `pratik/otel-phase2-rpc-tracing` (from `pratik/otel-phase1c-rpc-integration`)
### Related Plan Documents
| Document | Relevance |
| ------------------------------------------------------------ | ------------------------------------------------------------- |
| [04-code-samples.md](./04-code-samples.md) | TraceContextPropagator (§4.4.2), RPC instrumentation (§4.5.3) |
| [02-design-decisions.md](./02-design-decisions.md) | W3C Trace Context (§2.5), span attributes (§2.4.2) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 2 tasks (§6.3), definition of done (§6.11.2) |
---
## Task 2.1: W3C Trace Context HTTP Header Extraction
**Status**: DEFERRED → Phase 3
**Reason**: W3C context propagation (`traceparent`/`tracestate` headers) requires a consumer — in Phase 2, RPC spans are entirely local to the node. Phase 3 introduces cross-node transaction tracing via protobuf context propagation, which is the first use case for extracted trace context. Implementing it here without a consumer would be dead code.
**Implemented in**: `pratik/otel-phase3-tx-tracing``TraceContextPropagator.h/.cpp`
---
## Task 2.2: Per-Category Span Creation
**Status**: COMPLETE (superseded by Phase 1c design)
**Original plan**: Add `XRPL_TRACE_PEER` and `XRPL_TRACE_LEDGER` macros.
**Actual implementation**: Phase 1c replaced all tracing macros with the `SpanGuard::span(TraceCategory, prefix, name)` factory pattern. The `TraceCategory` enum (`Rpc`, `Transactions`, `Consensus`, `Peer`, `Ledger`) serves the same conditional-creation purpose without macros. No separate task needed — the factory already supports all categories.
---
## Task 2.3: Add shouldTraceLedger() to Telemetry Interface
**Objective**: The `Setup` struct has a `traceLedger` field but there's no corresponding virtual method. Add it for interface completeness.
**What to do**:
- Edit `include/xrpl/telemetry/Telemetry.h`:
- Add `virtual bool shouldTraceLedger() const = 0;`
- Update all implementations:
- `src/libxrpl/telemetry/Telemetry.cpp` (TelemetryImpl, NullTelemetryOtel)
- `src/libxrpl/telemetry/NullTelemetry.cpp` (NullTelemetry)
**Key modified files**:
- `include/xrpl/telemetry/Telemetry.h`
- `src/libxrpl/telemetry/Telemetry.cpp`
- `src/libxrpl/telemetry/NullTelemetry.cpp`
---
## Task 2.4: Unit Tests for Core Telemetry Infrastructure
**Status**: COMPLETE
**Objective**: Add unit tests for the core telemetry abstractions to validate correctness and catch regressions.
**Implemented**:
- `src/tests/libxrpl/telemetry/TelemetryConfig.cpp`:
- Test Setup defaults (all fields have correct initial values)
- Test `setupTelemetry` config parser (empty section, full section, edge cases)
- Test `samplingRatio` clamping (values outside 0.0-1.0)
- `src/tests/libxrpl/telemetry/SpanGuardFactory.cpp`:
- Test null guard methods are safe (setAttribute, setOk, setError, addEvent on null)
- Test category span returns null when telemetry disabled
- Test child/linked span null when no parent context
- Test move construction transfers ownership
- Test recordException safe on null guard
- Test discard() safe on null guard
- `src/tests/libxrpl/telemetry/main.cpp` — GTest runner
- `src/tests/libxrpl/CMakeLists.txt` — test target with optional OTel linking
---
## Task 2.5: Enhance RPC Span Attributes
**Status**: DEFERRED (low priority)
**Reason**: The high-value attributes (`command`, `version`, `role`, `status`) are already set by Phase 1c. The remaining HTTP transport-level attributes (`http.method`, `net.peer.ip`, `http.status_code`) provide limited additional insight since:
- `http.method` is always POST for JSON-RPC
- `net.peer.ip` is debug-level info available in logs
- `duration_ms` is redundant with span duration (OTel captures start/end time natively)
These can be added later if dashboard queries specifically need them. The node health attributes (Task 2.8) provide far more operational value and were prioritized instead.
---
## Task 2.6: Build Verification and Performance Baseline
**Objective**: Verify the build succeeds with and without telemetry, and establish a performance baseline.
**What to do**:
1. Build with `telemetry=ON` and verify no compilation errors
2. Build with `telemetry=OFF` and verify no regressions
3. Run existing unit tests to verify no breakage
4. Document any build issues in lessons.md
**Verification Checklist**:
- [ ] `conan install . --build=missing -o telemetry=True` succeeds
- [ ] `cmake --preset default -Dtelemetry=ON` configures correctly
- [ ] Build succeeds with telemetry ON
- [ ] Build succeeds with telemetry OFF
- [ ] Existing tests pass with telemetry ON
- [ ] Existing tests pass with telemetry OFF
---
## Task 2.8: RPC Span Attribute Enrichment — Node Health Context
**Status**: DROPPED.
Node health (`amendment_blocked`, `server_state`) is not part of the telemetry surface. Operators consume the same data via the existing `server_info` / `server_state` RPC commands, so duplicating it on traces adds storage and cardinality cost without new value. The OTel C++ SDK 1.18.0 also does not support runtime updates to the resource, ruling out resource-level emission of these dynamic-by-nature flags.
---
## Task 2.9: PathFind RPC Instrumentation
**Status**: COMPLETE
**Objective**: Trace the path_find and ripple_path_find RPC handlers to capture request latency and computation cost.
**Spans added**:
- `pathfind.request` — wraps `doPathFind()` and `doRipplePathFind()` RPC handlers
- `pathfind.compute` — wraps `PathRequest::doUpdate()` (`pathfind_fast` attr)
- `pathfind.update_all` — wraps `PathRequestManager::updateAll()` on ledger close (`pathfind_ledger_index`, `pathfind_num_requests` attrs; emitted only when active subscriptions exist)
- `pathfind.discover` — wraps the entire per-source-asset loop in `PathRequest::findPaths()` (`pathfind_search_level`, `pathfind_num_paths` attrs). One span per RPC call instead of N (one per source asset). Trade-off: per-asset breakdown is lost; storage and cardinality bounded.
**Attribute namespacing**: All pathfind attributes use the `pathfind_*` underscore form per the Phase 1c naming-spec rule 5.
**New file**: `src/xrpld/rpc/detail/PathFindSpanNames.h`
**Modified files**:
- `src/xrpld/rpc/handlers/orderbook/PathFind.cpp`
- `src/xrpld/rpc/handlers/orderbook/RipplePathFind.cpp`
- `src/xrpld/rpc/detail/PathRequest.cpp`
- `src/xrpld/rpc/detail/PathRequestManager.cpp`
- `src/xrpld/rpc/detail/Pathfinder.cpp`
---
## Task 2.10: RPC and PathFind Span Attribute Gap Fill
**Status**: COMPLETE
**Objective**: Wire up workflow-identifying attributes that enable filtering and grouping traces by request characteristics without drilling into child spans.
**Attributes added**:
| Span | Attribute | Type | Source |
| ------------------- | ---------------------------- | ------ | --------------------------------- |
| `rpc.http_request` | `request_payload_size` | int64 | `request.body().size()` |
| `rpc.process` | `is_batch` | bool | `method == "batch"` check |
| `rpc.process` | `batch_size` | int64 | `params.size()` (only when batch) |
| `rpc.ws_message` | `command` | string | `jv[command]` or `jv[method]` |
| `rpc.command.*` | `load_type` | string | `context.loadType.label()` |
| `pathfind.compute` | `pathfind_dest_amount` | string | `saDstAmount_.getFullText()` |
| `pathfind.compute` | `pathfind_dest_currency` | string | `to_string(saDstAmount_.asset())` |
| `pathfind.discover` | `pathfind_num_source_assets` | int64 | `sourceAssets.size()` |
**New attr keys**: `RpcSpanNames.h` (`isBatch`, `batchSize`, `loadType`), `PathFindSpanNames.h` (`destAmount`, `destCurrency`, `numSourceAssets`).
**Modified files**:
- `src/xrpld/rpc/detail/RpcSpanNames.h`
- `src/xrpld/rpc/detail/PathFindSpanNames.h`
- `src/xrpld/rpc/detail/ServerHandler.cpp`
- `src/xrpld/rpc/detail/RPCHandler.cpp`
- `src/xrpld/rpc/detail/PathRequest.cpp`
---
## Summary
| Task | Description | Status | Notes |
| ---- | ------------------------------------------- | ------------------- | --------------------------------------------------------- |
| 2.1 | W3C Trace Context header extraction | Deferred → Phase 3 | No consumer in Phase 2; needs cross-node tracing |
| 2.2 | Per-category span creation | Complete (Phase 1c) | Superseded by TraceCategory enum + SpanGuard |
| 2.3 | Add shouldTraceLedger() interface method | Complete (Phase 1c) | Delivered in Phase 1c base branch |
| 2.4 | Unit tests for core telemetry | Complete | TelemetryConfig + SpanGuardFactory tests |
| 2.5 | Enhanced RPC span attributes (HTTP-level) | Deferred | Low value; span duration covers timing natively |
| 2.6 | Build verification and performance baseline | Complete | Verified in CI on Phase 1c |
| 2.7 | Grafana Tempo search filters | Complete | rpc-command, rpc-status, rpc-role filters |
| 2.8 | RPC span attribute enrichment (node health) | Dropped | Available via `server_info`/`server_state` RPC |
| 2.9 | PathFind RPC instrumentation | Complete | request, compute, update_all, discover |
| 2.10 | RPC/PathFind span attribute gap fill | Complete | Batch detection, payload size, load cost, pathfind params |
**Delivered in this branch**: Tasks 2.4, 2.7, 2.9, 2.10.
**Deferred with rationale**: Tasks 2.1 (→Phase 3), 2.5 (low priority).
**Dropped**: Task 2.8 (node health not duplicated on traces).
**Superseded**: Task 2.2 (Phase 1c SpanGuard factory covers this).

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# Phase 3: Transaction Tracing Task List
> **Goal**: Trace the full transaction lifecycle from RPC submission through peer relay, including cross-node context propagation via Protocol Buffer extensions. This is the WALK phase that demonstrates true distributed tracing.
>
> **Scope**: Protocol Buffer `TraceContext` message, context serialization, PeerImp transaction instrumentation, NetworkOPs processing instrumentation, HashRouter visibility, and multi-node relay context propagation.
>
> **Branch**: `pratik/otel-phase3-tx-tracing` (from `pratik/otel-phase2-rpc-tracing`)
### Related Plan Documents
| Document | Relevance |
| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------ |
| [04-code-samples.md](./04-code-samples.md) | TraceContext protobuf (§4.4.1), PeerImp instrumentation (§4.5.1), context serialization (§4.4.2) |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | Transaction flow (§1.3), key trace points (§1.6) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 3 tasks (§6.4), definition of done (§6.11.3) |
| [02-design-decisions.md](./02-design-decisions.md) | Context propagation design (§2.5), attribute schema (§2.4.3) |
---
## Task 3.1: Define TraceContext Protocol Buffer Message
**Objective**: Add trace context fields to the P2P protocol messages so trace IDs can propagate across nodes.
**What to do**:
- Edit `include/xrpl/proto/xrpl.proto` (or `src/xrpld/proto/ripple.proto`, wherever the proto is):
- Add `TraceContext` message definition:
```protobuf
message TraceContext {
bytes trace_id = 1; // 16-byte trace identifier
bytes span_id = 2; // 8-byte span identifier
uint32 trace_flags = 3; // bit 0 = sampled
string trace_state = 4; // W3C tracestate value
}
```
- Add `optional TraceContext trace_context = 1001;` to:
- `TMTransaction`
- `TMProposeSet` (for Phase 4 use)
- `TMValidation` (for Phase 4 use)
- Use high field numbers (1001+) to avoid conflicts with existing fields
- Regenerate protobuf C++ code
**Key modified files**:
- `include/xrpl/proto/xrpl.proto` (or equivalent)
**Reference**:
- [04-code-samples.md §4.4.1](./04-code-samples.md) — TraceContext message definition
- [02-design-decisions.md §2.5.2](./02-design-decisions.md) — Protocol buffer context propagation design
---
## Task 3.2: Implement Protobuf Context Serialization
**Objective**: Create utilities to serialize/deserialize OTel trace context to/from protobuf `TraceContext` messages.
**What to do**:
- Create `include/xrpl/telemetry/TraceContextPropagator.h` (extend from Phase 2 if exists, or add protobuf methods):
- Add protobuf-specific methods:
- `static Context extractFromProtobuf(protocol::TraceContext const& proto)` — reconstruct OTel context from protobuf fields
- `static void injectToProtobuf(Context const& ctx, protocol::TraceContext& proto)` — serialize current span context into protobuf fields
- Both methods guard behind `#ifdef XRPL_ENABLE_TELEMETRY`
- Create/extend `src/libxrpl/telemetry/TraceContextPropagator.cpp`:
- Implement extraction: read trace_id (16 bytes), span_id (8 bytes), trace_flags from protobuf, construct `SpanContext`, wrap in `Context`
- Implement injection: get current span from context, serialize its TraceId, SpanId, and TraceFlags into protobuf fields
**Key new/modified files**:
- `include/xrpl/telemetry/TraceContextPropagator.h`
- `src/libxrpl/telemetry/TraceContextPropagator.cpp`
**Reference**:
- [04-code-samples.md §4.4.2](./04-code-samples.md) — Full extract/inject implementation
---
## Task 3.3: Instrument PeerImp Transaction Handling
**Objective**: Add trace spans to the peer-level transaction receive and relay path.
**What to do**:
- Edit `src/xrpld/overlay/detail/PeerImp.cpp`:
- In `onMessage(TMTransaction)` / `handleTransaction()`:
- Extract parent trace context from incoming `TMTransaction::trace_context` field (if present)
- Create `tx.receive` span as child of extracted context (or new root if none)
- Set attributes: `tx_hash`, `peer_id`, `tx_status`
- On HashRouter suppression (duplicate): set `suppressed=true`, add `tx.duplicate` event
- Wrap validation call with child span `tx.validate`
- Wrap relay with `tx.relay` span
- When relaying to peers:
- Inject current trace context into outgoing `TMTransaction::trace_context`
- Set `relay_count` attribute
- Use `SpanGuard::span(TraceCategory::Transactions, "tx", "receive")` factory
(Phase 1c replaced macros with the SpanGuard factory pattern)
**Key modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp`
**Reference**:
- [04-code-samples.md §4.5.1](./04-code-samples.md) — Full PeerImp instrumentation example
- [01-architecture-analysis.md §1.3](./01-architecture-analysis.md) — Transaction flow diagram
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — tx.receive trace point
---
## Task 3.4: Instrument NetworkOPs Transaction Processing
**Objective**: Trace the transaction processing pipeline in NetworkOPs, covering both sync and async paths.
**What to do**:
- Edit `src/xrpld/app/misc/NetworkOPs.cpp`:
- In `processTransaction()`:
- Create `tx.process` span
- Set attributes: `tx_hash`, `tx_type`, `local` (whether from RPC or peer)
- Record whether sync or async path is taken
- In `doTransactionAsync()`:
- Capture parent context before queuing
- Create `tx.queue` span with queue depth attribute
- Add event when transaction is dequeued for processing
- In `doTransactionSync()`:
- Create `tx.process_sync` span
- Record result (applied, queued, rejected)
**Key modified files**:
- `src/xrpld/app/misc/NetworkOPs.cpp`
**Reference**:
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — tx.validate and tx.process trace points
- [02-design-decisions.md §2.4.3](./02-design-decisions.md) — Transaction attribute schema
---
## Task 3.5: Instrument HashRouter for Dedup Visibility
**Objective**: Make transaction deduplication visible in traces by recording HashRouter decisions as span attributes/events.
**What to do**:
- Edit `src/xrpld/overlay/detail/PeerImp.cpp` (in handleTransaction):
- After calling `HashRouter::shouldProcess()` or `addSuppressionPeer()`:
- Record `suppressed` attribute (true/false)
- Record `tx_flags` showing current HashRouter state (SAVED, TRUSTED, etc.)
- Add `tx.first_seen` or `tx.duplicate` event
- This is NOT a modification to HashRouter itself — just recording its decisions as span attributes in the existing PeerImp instrumentation from Task 3.3.
**Key modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp` (same changes as 3.3, logically grouped)
---
## Task 3.6: Context Propagation in Transaction Relay
**Status**: COMPLETE
**Objective**: Ensure trace context flows correctly when transactions are relayed between peers, creating linked spans across nodes.
**What was done**:
- **TX send side**: `NetworkOPs::apply()` now injects the tx.process span's trace
context into the outgoing `TMTransaction` protobuf before relay, using
`telemetry::injectSpanContext()`. The receiving node's `txReceiveSpan()` (already
wired in PeerImp) extracts the parent span_id and creates the tx.receive span
as a child of the sender's tx.process span.
- **Proposal send/receive**: `RCLConsensus::Adaptor::propose()` injects the
current thread's active span context into the `TMProposeSet` protobuf via
`telemetry::injectToProtobuf()`. PeerImp creates a
`consensus.proposal.receive` span that extracts the sender's trace context
as parent (via `ConsensusReceiveTracing.h`).
- **Validation send/receive**: `RCLConsensus::Adaptor::validate()` injects
the current thread's active span context into the `TMValidation` protobuf.
PeerImp creates a `consensus.validation.receive` span that extracts the
sender's trace context as parent.
- **Edge cases**: Missing trace context (older peers) degrades gracefully to
standalone spans. Invalid/corrupted context is treated as absent. Trace
flags are propagated and respected.
**New infrastructure**:
- `SpanGuard::getTraceBytes()` — extracts raw trace_id/span_id/trace_flags
from a span without exposing OTel types. Safe to call from any thread.
- `PropagationHelpers.h` — `injectSpanContext(SpanGuard&, proto)` bridge
between SpanGuard and protobuf TraceContext.
- `TraceContextPropagator.h` — `injectToProtobuf(ctx, proto)` for
same-thread injection via OTel RuntimeContext (used in propose/validate).
- `ConsensusReceiveTracing.h` — `proposalReceiveSpan()` and
`validationReceiveSpan()` helper functions that create receive spans with
optional parent context extraction from incoming protobuf messages.
**Key modified files**:
- `src/xrpld/app/misc/NetworkOPs.cpp` — tx relay injection
- `src/xrpld/app/consensus/RCLConsensus.cpp` — proposal/validation send injection
- `src/xrpld/overlay/detail/PeerImp.cpp` — proposal/validation receive spans
- `include/xrpl/telemetry/SpanGuard.h` — `TraceBytes` struct, `getTraceBytes()`
- `src/libxrpl/telemetry/SpanGuard.cpp` — `getTraceBytes()` implementation
- `src/xrpld/telemetry/PropagationHelpers.h` — inject helpers (new file)
- `src/xrpld/telemetry/ConsensusReceiveTracing.h` — receive span helpers (new file)
**Reference**:
- [02-design-decisions.md §2.5](./02-design-decisions.md) — Context propagation design
- [04-code-samples.md §4.5.1](./04-code-samples.md) — Relay context injection pattern
---
## Task 3.7: Build Verification and Testing
**Objective**: Verify all Phase 3 changes compile and work correctly.
**What to do**:
1. Build with `telemetry=ON` — verify no compilation errors
2. Build with `telemetry=OFF` — verify no regressions
3. Run existing unit tests
4. Verify protobuf regeneration produces correct C++ code
5. Document any issues encountered
**Verification Checklist**:
- [ ] Protobuf changes generate valid C++
- [ ] Build succeeds with telemetry ON
- [ ] Build succeeds with telemetry OFF
- [ ] Existing tests pass
- [ ] No undefined symbols from new telemetry calls
---
## Task 3.8: Transaction Span Peer Version Attribute
> **Source**: [External Dashboard Parity](../docs/superpowers/specs/2026-03-30-external-dashboard-parity-design.md) — adds peer version context inspired by the community [xrpl-validator-dashboard](https://github.com/realgrapedrop/xrpl-validator-dashboard).
>
> **Upstream**: Phase 2 (RPC span infrastructure must exist).
> **Downstream**: Phase 10 (validation checks for this attribute).
**Objective**: Add the relaying peer's xrpld version to `tx.receive` spans so operators can correlate transaction issues with peer version mismatches during network upgrades.
**What to do**:
- Edit `src/xrpld/overlay/detail/PeerImp.cpp`:
- In the `tx.receive` span block (after existing `peer_id` setAttribute call):
- Add `peer_version` (string) — from `this->getVersion()`
- Only set if `getVersion()` returns a non-empty string (avoid empty-string attributes)
**New span attribute**:
| Attribute | Type | Source | Example |
| -------------- | ------ | -------------------- | --------------- |
| `peer_version` | string | `peer->getVersion()` | `"xrpld-2.4.0"` |
**Rationale**: Transaction relay is where version mismatches cause subtle serialization or validation bugs. Tracing "this tx came from a v2.3.0 peer" helps diagnose compatibility issues. The community dashboard tracks peer versions externally; this brings version awareness into the trace itself.
**Key modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp`
**Exit Criteria**:
- [ ] `tx.receive` spans carry `peer_version` attribute with a non-empty version string
- [ ] Attribute is omitted (not set to empty string) when `getVersion()` returns empty
- [ ] Attribute visible in Jaeger span detail view
---
## Task 3.9: Deterministic Transaction Trace ID
> **Upstream**: Task 3.2 (protobuf serialization), Task 3.3 (PeerImp span exists).
> **Downstream**: Phase 10 (workload validation can query by tx hash directly).
> **Pattern**: Mirrors the consensus deterministic trace ID in Phase 4a
> (`createDeterministicContext` in `RCLConsensus.cpp`), adapted for transactions.
**Objective**: Derive the trace_id for transaction spans deterministically from the
transaction hash so that all nodes handling the same transaction independently produce
spans under the same trace_id — regardless of whether protobuf context propagation
succeeds.
**Why**: The current approach creates spans with random trace_ids and relies entirely
on protobuf `TraceContext` propagation to link them. If any hop in the relay chain
drops the context (older peers, message corruption, mixed-version networks), the trace
splits and downstream spans become impossible to find. With deterministic trace_ids,
correlation is guaranteed because every node derives the same trace_id from the same
`txID`.
**Approach — deterministic trace_id + protobuf span_id propagation**:
1. Derive `trace_id = txHash[0:16]` (first 16 bytes of the 32-byte transaction hash).
2. Generate a random 8-byte `span_id` per node (each node's span is unique within
the shared trace).
3. Create the span under this deterministic context as parent.
4. **Additionally**, if protobuf `TraceContext` is present in the incoming
`TMTransaction` message, extract the sender's `span_id` and use it as the span's
parent — this preserves parent-child ordering in the trace tree.
5. If protobuf context is absent (older peer, first hop), the span still has the
correct deterministic `trace_id` — it appears as a sibling root in the same trace
rather than being lost.
This gives the best of both worlds: guaranteed cross-node correlation via deterministic
`trace_id`, plus parent-child relay ordering via protobuf `span_id` when available.
**What to do**:
- Create `createDeterministicTxContext(uint256 const& txHash)` utility function:
- Location: shared header or file-local in `PeerImp.cpp` and `NetworkOPs.cpp`
(or a shared telemetry utility if both need it).
- Pattern: identical to `createDeterministicContext(uint256 const& ledgerId)` in
`RCLConsensus.cpp` — take `txHash[0:16]` as trace_id, random span_id via
`default_prng()`, sampled flag set, `remote=false`.
- Guard behind `#ifdef XRPL_ENABLE_TELEMETRY`.
```cpp
opentelemetry::context::Context
createDeterministicTxContext(uint256 const& txHash)
{
namespace trace = opentelemetry::trace;
// First 16 bytes of the 32-byte tx hash as trace ID.
trace::TraceId traceId(
opentelemetry::nostd::span<uint8_t const, 16>(txHash.data(), 16));
// Random span_id so each node's span is unique within the trace.
uint8_t spanIdBytes[8];
auto const rval = default_prng()();
std::memcpy(spanIdBytes, &rval, sizeof(spanIdBytes));
trace::SpanId spanId(
opentelemetry::nostd::span<uint8_t const, 8>(spanIdBytes, 8));
trace::SpanContext syntheticCtx(
traceId, spanId, trace::TraceFlags(1), /* remote = */ false);
return opentelemetry::context::Context{}.SetValue(
trace::kSpanKey,
opentelemetry::nostd::shared_ptr<trace::Span>(
new trace::DefaultSpan(syntheticCtx)));
}
```
- Edit `src/xrpld/overlay/detail/PeerImp.cpp` — restructure `handleTransaction()`:
- **Move span creation after deserialization** (txID must be known first):
1. Deserialize `STTx` and get `txID` (existing code at line ~1382).
2. Create deterministic parent context: `auto detCtx = createDeterministicTxContext(txID)`.
3. If `m->has_trace_context()`: extract protobuf context via `extractFromProtobuf()`,
**combine** with deterministic trace_id — use the protobuf span_id as parent
to preserve relay ordering, but override trace_id with the deterministic one.
4. If no protobuf context: create span under `detCtx` directly.
5. Set all existing attributes (`hash`, `peerId`, `peerVersion`, `suppressed`, etc.).
- **Combining deterministic trace_id with protobuf parent span_id**:
When both are available, construct a synthetic `SpanContext` with:
- `trace_id` = `txHash[0:16]` (deterministic)
- `span_id` = extracted from protobuf (sender's span_id → becomes parent)
- `trace_flags` = from protobuf
- `remote` = true (came from another node)
```cpp
// Pseudo-code for the combined context:
auto detTraceId = trace::TraceId(txHash.data(), 16);
auto remoteSpanId = /* from extractFromProtobuf */;
auto remoteFlags = /* from extractFromProtobuf */;
trace::SpanContext combinedCtx(
detTraceId, remoteSpanId, remoteFlags, /* remote = */ true);
// Use as parent context for the new span.
```
- Edit `src/xrpld/app/misc/NetworkOPs.cpp` — update `processTransaction()`:
- `transaction->getID()` is already available at the top of the function.
- Create deterministic parent context from `txID`.
- Create `tx.process` span under this context.
- No protobuf context to extract here (NetworkOPs is intra-node), so
deterministic context alone is sufficient.
- Add `trace_strategy` attribute to spans:
- Add `inline constexpr auto traceStrategy = "trace_strategy";`
to `TxSpanNames.h`.
- Set on each tx span: `span.setAttribute(tx_span::attr::traceStrategy, "deterministic")`.
**Key new/modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp` — restructured span creation
- `src/xrpld/app/misc/NetworkOPs.cpp` — deterministic context for tx.process
- `src/xrpld/app/misc/TxSpanNames.h` — new `traceStrategy` attribute constant
- New or shared utility for `createDeterministicTxContext()` (location TBD: could be
a shared header like `include/xrpl/telemetry/DeterministicContext.h`, or file-local
if only used in two places)
**Interaction with existing tasks**:
- **Task 3.3 (PeerImp instrumentation)**: The span creation in `handleTransaction()`
must be restructured — the span currently starts before `txID` is known. This task
moves it after deserialization.
- **Task 3.6 (Relay context propagation)**: Protobuf injection at the relay site
remains the same — `injectToProtobuf()` serializes the current span's `span_id`.
The receiver extracts it and combines with the deterministic `trace_id`.
- **Phase 4a (Consensus deterministic trace ID)**: This task follows the same pattern.
Consider extracting a shared utility (e.g., `createDeterministicContext(uint256)`)
that both consensus and transaction tracing use.
**Exit Criteria**:
- [ ] `tx.receive` and `tx.process` spans have deterministic trace_id = `txHash[0:16]`
- [ ] All nodes handling the same transaction produce spans under the same trace_id
- [x] Protobuf `span_id` propagation still works when available (parent-child ordering)
- [ ] Missing protobuf context (old peer) degrades gracefully to sibling spans, not lost traces
- [ ] `trace_strategy` attribute set to `"deterministic"` on all tx spans
- [ ] Trace queryable by tx hash (truncate hash → trace_id → direct lookup in Tempo)
**Deliverables implemented (not in original plan)**:
- **`SpanGuard::txSpan()` factory method** (`include/xrpl/telemetry/SpanGuard.h`):
Two overloads for creating transaction spans with deterministic trace IDs:
- `txSpan(category, group, name, txHash)` — standalone span (deterministic
trace_id from `txHash[0:16]`, no parent span_id).
- `txSpan(category, group, name, txHash, parentCtx)` — child span (deterministic
trace_id combined with protobuf-extracted parent span_id for relay ordering).
- **`TxTracing.h` helper functions** (`src/xrpld/overlay/detail/TxTracing.h`):
File-local helpers that wrap `SpanGuard::txSpan()` for the two main PeerImp call
sites:
- `txReceiveSpan(txHash, parentCtx)` — creates `tx.receive` span with
deterministic trace_id and optional protobuf parent context.
- `txProcessSpan(txHash)` — creates `tx.process` span with deterministic
trace_id only (no protobuf parent, used intra-node).
- **Note**: `TxTracing.h` includes `xrpl.pb.h` unconditionally (outside
`#ifdef XRPL_ENABLE_TELEMETRY`) because `protocol::TMTransaction` appears in
the function signatures regardless of telemetry build mode.
---
## Task 3.10: TxQ Instrumentation
**Status**: COMPLETE
**Objective**: Trace the transaction queue lifecycle — enqueue decisions, direct apply, batch clear, ledger-close accept loop, per-tx apply, and cleanup.
**Spans added**:
- `txq.enqueue` — wraps `TxQ::apply()` with tx_hash attribute
- `txq.apply_direct` — wraps `TxQ::tryDirectApply()` fast-path
- `txq.batch_clear` — wraps `TxQ::tryClearAccountQueueUpThruTx()`
- `txq.accept` — wraps `TxQ::accept()` ledger-close dequeue with queue_size attr
- `txq.accept_tx` — per-tx span inside accept loop with tx_hash, ter_code,
retries_remaining attributes
- `txq.cleanup` — wraps `TxQ::processClosedLedger()` with ledger_seq attribute
**New file**: `src/xrpld/app/misc/detail/TxQSpanNames.h`
**Modified file**: `src/xrpld/app/misc/detail/TxQ.cpp`
---
## Task 3.11: TX and TxQ Span Attribute Gap Fill
**Status**: COMPLETE
**Objective**: Add workflow-identifying attributes to transaction spans so operators can filter by transaction type and see outcomes without off-chain correlation.
**Attributes added**:
| Span | Attribute | Type | Source |
| ----------------- | -------------------- | ------ | ------------------------------------------------------------------- |
| `tx.process` | `tx_type` | string | `TxFormats::getInstance().findByType(stx->getTxnType())->getName()` |
| `tx.process` | `fee` | int64 | `stx->getFieldAmount(sfFee).xrp().drops()` |
| `tx.process` | `sequence` | int64 | `stx->getSeqProxy().value()` |
| `tx.process` | `ter_result` | string | `transToken(e.result)` (set after batch application) |
| `tx.process` | `applied` | bool | `e.applied` (set after batch application) |
| `tx.receive` | `tx_type` | string | `TxFormats::getInstance().findByType(stx->getTxnType())->getName()` |
| `txq.enqueue` | `tx_type` | string | same pattern as above |
| `txq.enqueue` | `txq_status` | string | `queued` / `applied_direct` / `applied` / `rejected` |
| `txq.enqueue` | `fee_level_paid` | int64 | `getFeeLevelPaid(view, *tx).value()` |
| `txq.enqueue` | `required_fee_level` | int64 | `getRequiredFeeLevel(...).value()` |
| `txq.batch_clear` | `num_cleared` | int64 | queued txs cleared ahead of the applying tx |
| `txq.cleanup` | `expired_count` | int64 | entries dropped for passed `LastLedgerSequence` |
| `txq.accept_tx` | `txq_status` | string | `applied` / `failed` / `retried` |
| `txq.accept` | `ledger_changed` | bool | set at end of accept loop |
**New attr keys**: `TxSpanNames.h` (`txType`, `fee`, `sequence`, `terResult`, `applied`), `TxQSpanNames.h` (`txType`).
**Modified files**:
- `src/xrpld/app/misc/TxSpanNames.h`
- `src/xrpld/app/misc/detail/TxQSpanNames.h`
- `src/xrpld/app/misc/NetworkOPs.cpp`
- `src/xrpld/overlay/detail/PeerImp.cpp`
- `src/xrpld/app/misc/detail/TxQ.cpp`
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ----------------------------------- | --------- | -------------- | ---------- |
| 3.1 | TraceContext protobuf message | 0 | 1 | Phase 2 |
| 3.2 | Protobuf context serialization | 1-2 | 0 | 3.1 |
| 3.3 | PeerImp transaction instrumentation | 0 | 1 | 3.2 |
| 3.4 | NetworkOPs transaction processing | 0 | 1 | Phase 2 |
| 3.5 | HashRouter dedup visibility | 0 | 1 | 3.3 |
| 3.6 | Relay context propagation | 0 | 1-2 | 3.3, 3.5 |
| 3.7 | Build verification and testing | 0 | 0 | 3.1-3.6 |
| 3.8 | TX span peer version attribute | 0 | 1 | 3.3 |
| 3.9 | Deterministic transaction trace ID | 0-1 | 3 | 3.2, 3.3 |
| 3.10 | TxQ instrumentation (6 spans) | 1 | 1 | 3.4 |
| 3.11 | TX/TxQ span attribute gap fill | 0 | 5 | 3.3, 3.10 |
**Parallel work**: Tasks 3.1 and 3.4 can start in parallel. Task 3.2 depends on 3.1. Tasks 3.3 and 3.5 depend on 3.2. Task 3.6 depends on 3.3 and 3.5. Task 3.8 depends on 3.3 (span must exist). Task 3.9 depends on 3.2 and 3.3. Task 3.10 depends on 3.4 (tx.process span must exist).
**Exit Criteria** (from [06-implementation-phases.md §6.11.3](./06-implementation-phases.md)):
- [x] Transaction traces span across nodes
- [x] Trace context in Protocol Buffer messages
- [ ] HashRouter deduplication visible in traces
- [ ] <5% overhead on transaction throughput
- [x] Deterministic trace_id: same trace_id for same tx across all nodes
- [x] Protobuf span_id propagation preserves parent-child ordering when available

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@@ -1,940 +0,0 @@
# Phase 4: Consensus Tracing Task List
> **Goal**: Full observability into consensus rounds — track round lifecycle, phase transitions, proposal handling, and validation. This is the RUN phase that completes the distributed tracing story.
>
> **Scope**: RCLConsensus instrumentation for round starts, phase transitions (open/establish/accept), proposal send/receive, validation handling, and correlation with transaction traces from Phase 3.
>
> **Branch**: `pratik/otel-phase4-consensus-tracing` (from `pratik/otel-phase3-tx-tracing`)
> **Note on attribute names**: the `xrpl.<domain>.<field>` keys shown below are
> written in the older dotted form for readability — it mirrors how the fully
> qualified attribute reads in a Tempo trace view. The implemented keys follow
> the convention in [CONTRIBUTING.md](../CONTRIBUTING.md#telemetry-span-attribute-naming)
> (underscore form, e.g. `consensus_round`, `consensus_mode`); the
> `*SpanNames.h` constants are the single source of truth.
### Related Plan Documents
| Document | Relevance |
| ------------------------------------------------------------ | ----------------------------------------------------------- |
| [04-code-samples.md](./04-code-samples.md) | Consensus instrumentation (§4.5.2), consensus span patterns |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | Consensus round flow (§1.4), key trace points (§1.6) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 4 tasks (§6.5), definition of done (§6.11.4) |
| [02-design-decisions.md](./02-design-decisions.md) | Consensus attribute schema (§2.4.4) |
---
## Task 4.1: Instrument Consensus Round Start ✅
**Objective**: Create a root span for each consensus round that captures the round's key parameters.
**Status**: DONE (implemented via Task 4a.2 `startRoundTracing()` helper).
**What was done**:
- `RCLConsensus::Adaptor::startRoundTracing()` creates `consensus.round` span
via `SpanGuard::hashSpan()` (deterministic) or `SpanGuard::span()` (attribute strategy)
- Attributes set: `xrpl.consensus.ledger_id`, `xrpl.ledger.seq`,
`xrpl.consensus.mode`, `trace_strategy`, `xrpl.consensus.round_id`
- Round span stored as `roundSpan_` member in `RCLConsensus::Adaptor`
- `roundSpanContext_` snapshot captured for cross-thread span linking
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/app/consensus/RCLConsensus.h` (span and context members)
**Reference**:
- [04-code-samples.md §4.5.2](./04-code-samples.md) — startRound instrumentation example
- [01-architecture-analysis.md §1.4](./01-architecture-analysis.md) — Consensus round flow
---
## Task 4.2: Instrument Phase Transitions ✅
**Objective**: Create child spans for each consensus phase (open, establish, accept) to show timing breakdown.
**Status**: DONE. All consensus phases are now instrumented:
- `consensus.establish` — created in `Consensus.h::startEstablishTracing()`
- `consensus.ledger_close` — created in `RCLConsensus.cpp::onClose()`
- `consensus.accept` / `consensus.accept.apply` — created in `onAccept()` / `doAccept()`
- `consensus.phase.open``openSpan_` member in `Consensus.h`, created in `startRoundInternal()`, ended in `closeLedger()`
**Design notes**:
- `phase` attribute — phases are distinguished by span names instead
- `phase.enter` / `phase.exit` events — not added (span start/end serves this purpose)
- `phase_duration_ms` attribute — not set (span duration captures this)
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/consensus/Consensus.h` (template-level establish phase tracking)
**Reference**:
- [04-code-samples.md §4.5.2](./04-code-samples.md) — phaseTransition instrumentation
---
## Task 4.3: Instrument Proposal Handling ✅
**Objective**: Trace proposal send and receive to show validator coordination.
**Status**: DONE. Both send and receive paths are instrumented.
**What was done**:
- In `Adaptor::propose()`:
- Creates `consensus.proposal.send` span via `SpanGuard::span()`
- Sets `xrpl.consensus.round` attribute
- In `PeerImp::onMessage(TMProposeSet)`:
- Creates `consensus.proposal.receive` span
- Sets `trusted` attribute (bool)
**Not implemented** (deferred to Phase 4b — cross-node propagation):
- `consensus.proposal.relay` span in `share(RCLCxPeerPos)` — requires trace context injection
- Trace context injection/extraction for `TMProposeSet::trace_context`
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
**Reference**:
- [04-code-samples.md §4.5.2](./04-code-samples.md) — peerProposal instrumentation
- [02-design-decisions.md §2.4.4](./02-design-decisions.md) — Consensus attribute schema
---
## Task 4.4: Instrument Validation Handling ✅
**Objective**: Trace validation send and receive to show ledger validation flow.
**Status**: DONE. Both send and receive paths are instrumented.
**What was done**:
- In `Adaptor::validate()` (called from `doAccept()`):
- Creates `consensus.validation.send` span via `Adaptor::createValidationSpan()`
- Uses `SpanGuard::linkedSpan()` to create a follows-from link to the round span
- Thread-safe: uses `roundSpanContext_` snapshot (captured on consensus thread,
read on jtACCEPT thread)
- Sets `xrpl.ledger.seq` and `proposing` attributes
- In `PeerImp::onMessage(TMValidation)`:
- Creates `consensus.validation.receive` span
- Sets `trusted` attribute (bool)
- Sets `xrpl.ledger.seq` attribute
**Not implemented** (deferred to Phase 4b — cross-node propagation):
- Validated ledger hash, signing time attributes on send span (see Task 4.8)
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
---
## Task 4.5: Add Consensus-Specific Attributes ✅
**Objective**: Enrich consensus spans with detailed attributes for debugging and analysis.
**Status**: DONE. All core attributes are set across various spans, including the previously missing `tx_count` and `disputes_count`.
**Implemented attributes** (across various spans):
- `xrpl.ledger.seq` — on `consensus.round`, `consensus.accept.apply`
- `xrpl.consensus.round` — on `consensus.proposal.send`
- `xrpl.consensus.mode` — on `consensus.round`, `consensus.ledger_close`
- `proposers` — on `consensus.accept`, `consensus.establish`, `consensus.update_positions`
- `converge_percent` — on `consensus.establish`, `consensus.update_positions`, `consensus.check`
- `tx_count` — on `consensus.accept.apply` span (in `doAccept()`)
- `disputes_count` — on `consensus.update_positions` span (in `updateOurPositions()`)
**Design notes**:
- `phase` — phases distinguished by span names instead
- `phase_duration_ms` — span duration captures this
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/consensus/Consensus.h`
---
## Task 4.6: Correlate Transaction and Consensus Traces ✅
**Objective**: Link transaction traces from Phase 3 with consensus traces so you can follow a transaction from submission through consensus into the ledger.
**Status**: DONE. Transaction-consensus correlation implemented via `tx.included` events in `doAccept()`.
**What was done**:
- In `doAccept()` (RCLConsensus.cpp):
- Records `tx.included` events on the `consensus.accept.apply` span for each transaction in the accepted set
- Each event includes `xrpl.tx.id` attribute with the transaction hash
- This links consensus traces to individual transactions
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
---
## Task 4.7: Build Verification and Testing ✅
**Objective**: Verify all Phase 4 changes compile and don't affect consensus timing.
**What to do**:
1. Build with `telemetry=ON` — verify no compilation errors
2. Build with `telemetry=OFF` — verify no regressions (critical for consensus code)
3. Run existing consensus-related unit tests
4. Verify that `SpanGuard` factory methods compile to no-ops when disabled
5. Check that no consensus-critical code paths are affected by instrumentation overhead
**Verification Checklist**:
- [x] Build succeeds with telemetry ON
- [x] Build succeeds with telemetry OFF
- [x] Existing consensus tests pass
- [x] `SpanGuard` no-op implementation prevents overhead when telemetry is OFF
- [x] Phase timing instrumentation doesn't use blocking operations
---
## Task 4.8: Consensus Validation Span Enrichment — NOT DONE
> **Source**: [External Dashboard Parity](../docs/superpowers/specs/2026-03-30-external-dashboard-parity-design.md) — adds validation agreement context inspired by the community [xrpl-validator-dashboard](https://github.com/realgrapedrop/xrpl-validator-dashboard).
>
> **Upstream**: Phase 4 tasks 4.1-4.4 (span creation must exist).
> **Downstream**: Phase 7 (ValidationTracker reads these attributes), Phase 10 (validation checks).
**Objective**: Add ledger hash, validation type, and quorum data to consensus validation spans on both send and receive paths. This enables trace-level validation agreement analysis — filter by ledger hash to see which validators agreed for a given ledger.
**Status**: Not implemented. None of the enrichment attributes are set. The `consensus.validation.send` span only has `ledger.seq` and `proposing`. The `consensus.accept` span has `quorum` set to `result.proposers` (not the actual validator quorum from `app_.validators().quorum()`). No `PeerImp.cpp` changes were made.
**What to do**:
- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
- On the `consensus.validation.send` span (in `validate()` / `doAccept()`):
- Add `xrpl.validation.ledger_hash` (string) — the ledger hash being validated
- Add `xrpl.validation.full` (bool) — whether this is a full validation (not partial)
- On the `consensus.accept` span (in `onAccept()`):
- Add `validation_quorum` (int64) — from `app_.validators().quorum()`
- Add `proposers_validated` (int64) — from `result.proposers`
- Edit `src/xrpld/overlay/detail/PeerImp.cpp`:
- On the `peer.validation.receive` span:
- Add `xrpl.peer.validation.ledger_hash` (string) — from deserialized `STValidation` object
- Add `xrpl.peer.validation.full` (bool) — from `STValidation` flags
**New span attributes**:
| Span | Attribute | Type | Source |
| --------------------------- | ---------------------------------- | ------ | --------------------------------- |
| `consensus.validation.send` | `xrpl.validation.ledger_hash` | string | Ledger hash from validate() args |
| `consensus.validation.send` | `xrpl.validation.full` | bool | Full vs partial validation |
| `peer.validation.receive` | `xrpl.peer.validation.ledger_hash` | string | From STValidation deserialization |
| `peer.validation.receive` | `xrpl.peer.validation.full` | bool | From STValidation flags |
| `consensus.accept` | `validation_quorum` | int64 | `app_.validators().quorum()` |
| `consensus.accept` | `proposers_validated` | int64 | `result.proposers` |
**Rationale**: The external dashboard's most valuable feature is validation agreement tracking. By recording the ledger hash on both outgoing and incoming validation spans, we create the raw data for agreement analysis at the trace level. Example Tempo query:
```
{name="consensus.validation.send"} | xrpl.validation.ledger_hash = "A1B2C3..."
```
Phase 7's `ValidationTracker` builds metric-level aggregation (1h/24h agreement %) on top of this data.
**Key modified files (not yet modified)**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/overlay/detail/PeerImp.cpp`
**Exit Criteria**:
- [x] `consensus.validation.send` spans carry `ledger_hash` and `full_validation`
- [ ] `peer.validation.receive` spans carry `xrpl.peer.validation.ledger_hash` and `xrpl.peer.validation.full`
- [ ] `consensus.accept` spans carry `validation_quorum` and `proposers_validated`
- [x] Ledger hash attributes match between send and receive for the same ledger
- [ ] No impact on consensus performance
---
## Task 4.9: Consensus Span Attribute Gap Fill
**Status**: COMPLETE
**Objective**: Add workflow-critical attributes to consensus spans that enable operators to understand consensus outcomes, identify bow-out proposals, and correlate validations to specific ledgers.
**Attributes added**:
| Span | Attribute | Type | Source |
| --------------------------- | ----------------- | ------ | ------------------------------------- |
| `consensus.proposal.send` | `is_bow_out` | bool | `proposal.isBowOut()` |
| `consensus.accept` | `consensus_state` | string | `result.state` (yes/moved_on/expired) |
| `consensus.accept` | `disputes_count` | int64 | `result.disputes.size()` |
| `consensus.validation.send` | `ledger_hash` | string | `ledger.ledger->header().hash` |
**New attr keys**: `ConsensusSpanNames.h` (`isBowOut`, `ledgerHash`).
**Modified files**:
- `src/xrpld/consensus/ConsensusSpanNames.h`
- `src/xrpld/app/consensus/RCLConsensus.cpp`
---
## Summary
| Task | Description | Status | New Files | Modified Files | Depends On |
| ---- | ------------------------------------------- | ----------- | --------- | -------------- | ------------- |
| 4.1 | Consensus round start instrumentation | ✅ Done | 0 | 2 | Phase 3 |
| 4.2 | Phase transition instrumentation | ✅ Done | 0 | 1-2 | 4.1 |
| 4.3 | Proposal handling instrumentation | ✅ Done | 0 | 2 | 4.1 |
| 4.4 | Validation handling instrumentation | ✅ Done | 0 | 2 | 4.1 |
| 4.5 | Consensus-specific attributes | ✅ Done | 0 | 2 | 4.2, 4.3, 4.4 |
| 4.6 | Transaction-consensus correlation | ✅ Done | 0 | 1 | 4.2, Phase 3 |
| 4.7 | Build verification and testing | ✅ Done | 0 | 0 | 4.1-4.6 |
| 4.8 | Validation span enrichment (ext. dashboard) | ❌ Not done | 0 | 2 | 4.4 |
| 4.9 | Consensus span attribute gap fill | ✅ Done | 0 | 2 | 4.1-4.5 |
**Parallel work**: Tasks 4.2, 4.3, and 4.4 can run in parallel after 4.1 is complete. Task 4.5 depends on all three. Task 4.6 depends on 4.2 and Phase 3. Task 4.8 depends on 4.4 (validation spans must exist).
### Implemented Spans
| Span Name | Method | Key Attributes |
| --------------------------- | ---------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `consensus.proposal.send` | `Adaptor::propose` | `xrpl.consensus.round`, `is_bow_out` |
| `consensus.ledger_close` | `Adaptor::onClose` | `xrpl.ledger.seq`, `xrpl.consensus.mode` |
| `consensus.accept` | `Adaptor::onAccept` | `proposers`, `round_time_ms`, `quorum`, `disputes_count`, `consensus_state` |
| `consensus.accept.apply` | `Adaptor::doAccept` | `close_time`, `close_time_correct`, `close_resolution_ms`, `consensus_state`, `proposing`, `round_time_ms`, `xrpl.ledger.seq`, `parent_close_time`, `close_time_self`, `close_time_vote_bins`, `resolution_direction` |
| `consensus.validation.send` | `Adaptor::onAccept` (via validate) | `proposing`, `ledger_hash`, `ledger_seq`, `full_validation`, `validation_sign_time` |
#### Close Time Attributes (consensus.accept.apply)
The `consensus.accept.apply` span captures ledger close time agreement details
driven by `avCT_CONSENSUS_PCT` (75% validator agreement threshold):
- **`close_time`** — Agreed-upon ledger close time (epoch seconds). When validators disagree (`consensusCloseTime == epoch`), this is synthetically set to `prevCloseTime + 1s`.
- **`close_time_correct`** — `true` if validators reached agreement, `false` if they "agreed to disagree" (close time forced to prev+1s).
- **`close_resolution_ms`** — Rounding granularity for close time (starts at 30s, decreases as ledger interval stabilizes).
- **`consensus_state`** — `"finished"` (normal) or `"moved_on"` (consensus failed, adopted best available).
- **`proposing`** — Whether this node was proposing.
- **`round_time_ms`** — Total consensus round duration.
- **`parent_close_time`** — Previous ledger's close time (epoch seconds). Enables computing close-time deltas across consecutive rounds without correlating separate spans.
- **`close_time_self`** — This node's own proposed close time before consensus voting.
- **`close_time_vote_bins`** — Number of distinct close-time vote bins from peer proposals. Higher values indicate less agreement among validators.
- **`resolution_direction`** — Whether close-time resolution `"increased"` (coarser), `"decreased"` (finer), or stayed `"unchanged"` relative to the previous ledger.
**Exit Criteria** (from [06-implementation-phases.md §6.11.4](./06-implementation-phases.md)):
- [x] Complete consensus round traces
- [x] Phase transitions visible (open, establish, close, accept)
- [x] Proposals and validations traced — send and receive; relay deferred to Phase 4b
- [x] Close time agreement tracked (per `avCT_CONSENSUS_PCT`)
- [x] No impact on consensus timing
- [x] Transaction-consensus correlation (Task 4.6) — `tx.included` events in doAccept
- [ ] Validation span enrichment (Task 4.8) — not implemented
---
# Phase 4a: Establish-Phase Gap Fill & Cross-Node Correlation
> **Goal**: Fill tracing gaps in the consensus establish phase (disputes, convergence,
> threshold escalation, mode changes) and establish cross-node correlation using a
> deterministic shared trace ID derived from `previousLedger.id()`.
>
> **Approach**: Direct instrumentation in `Consensus.h` and `RCLConsensus.cpp`.
> All spans use `SpanGuard` factory methods (`span()`, `hashSpan()`, `linkedSpan()`)
> with `TraceCategory::Consensus` gating. Long-lived spans (round, establish) are
> stored as `std::optional<SpanGuard>` class members. Short-lived scoped spans
> (update_positions, check) are local variables. No macros are used — all tracing
> is via direct `SpanGuard` API calls. `SpanGuard` compiles to no-ops when
> telemetry is disabled.
>
> **Branch**: `pratik/otel-phase4-consensus-tracing`
## Design: Switchable Correlation Strategy
Two strategies for cross-node trace correlation, switchable via config:
### Strategy A — Deterministic Trace ID (Default)
Derive `trace_id = SHA256(previousLedger.id())[0:16]` so all nodes in the same
consensus round share the same trace_id without P2P context propagation.
- **Pros**: All nodes appear in the same trace in Tempo/Jaeger automatically.
No collector-side post-processing needed.
- **Cons**: Overrides OTel's random trace_id generation; requires custom
`IdGenerator` or manual span context construction.
### Strategy B — Attribute-Based Correlation
Use normal random trace_id but attach `xrpl.consensus.ledger_id` as an attribute
on every consensus span. Correlation happens at query time via Tempo/Grafana
`by attribute` queries.
- **Pros**: Standard OTel trace_id semantics; no SDK customization.
- **Cons**: Cross-node correlation requires query-time joins, not automatic.
### Config
```ini
[telemetry]
# "deterministic" (default) or "attribute"
consensus_trace_strategy=deterministic
```
The C++ API to query this at runtime is `Telemetry::getConsensusTraceStrategy()`,
which returns a `std::string const&` (`"deterministic"` or `"attribute"`).
### Implementation
In `RCLConsensus::Adaptor::startRound()`:
- If `deterministic`:
1. Compute `trace_id_bytes = SHA256(prevLedgerID)[0:16]`
2. Construct `opentelemetry::trace::TraceId(trace_id_bytes)`
3. Create a synthetic `SpanContext` with this trace_id and a random span_id:
```cpp
auto traceId = opentelemetry::trace::TraceId(trace_id_bytes);
auto spanId = opentelemetry::trace::SpanId(random_8_bytes);
auto syntheticCtx = opentelemetry::trace::SpanContext(
traceId, spanId, opentelemetry::trace::TraceFlags(1), false);
```
4. Wrap in `opentelemetry::context::Context` via
`opentelemetry::trace::SetSpan(context, syntheticSpan)`
5. Call `startSpan("consensus.round", parentContext)` so the new span
inherits the deterministic trace_id.
- If `attribute`: start a normal `consensus.round` span, set
`xrpl.consensus.ledger_id = previousLedger.id()` as attribute.
Both strategies always set `xrpl.consensus.round_id` (round number) and
`xrpl.consensus.ledger_id` (previous ledger hash) as attributes.
---
## Design: Span Hierarchy
```
consensus.round (root — created in RCLConsensus::startRound, closed at accept)
│ link → previous round's SpanContext (follows-from)
├── consensus.establish (phaseEstablish → acceptance, in Consensus.h)
│ ├── consensus.update_positions (each updateOurPositions call)
│ │ └── consensus.dispute.resolve (per-tx dispute resolution event)
│ ├── consensus.check (each haveConsensus call)
│ └── consensus.mode_change (short-lived span in adaptor on mode transition)
├── consensus.accept (existing onAccept span — reparented under round)
└── consensus.validation.send (existing — reparented, follows-from link to round)
```
### Span Links (follows-from relationships)
| Link Source | Link Target | Rationale |
| ----------------------------------------- | -------------------------- | ------------------------------------------------------------------------------ |
| `consensus.round` (N+1) | `consensus.round` (N) | Causal chain: round N+1 exists because round N accepted |
| `consensus.validation.send` | `consensus.round` | Validation follows from the round that produced it; may outlive the round span |
| _(Phase 4b)_ Received proposal processing | Sender's `consensus.round` | Cross-node causal link via P2P context propagation |
---
## Task 4a.0: Prerequisites — Extend SpanGuard and Telemetry APIs ✅
**Objective**: Add missing API surface needed by later tasks.
**Status**: Done, but implemented differently than originally planned. The macro-based
approach (`XRPL_TRACE_CONSENSUS`, `XRPL_TRACE_ADD_EVENT`, `XRPL_TRACE_SET_ATTR`) was
**not used**. Instead, all consensus tracing uses `SpanGuard` factory methods and
direct method calls, which is cleaner and avoids macro control-flow issues.
**What was done**:
1. **`SpanGuard::addEvent()` with attributes** — implemented as planned:
```cpp
using EventAttribute = std::pair<std::string_view, std::string_view>;
void addEvent(std::string_view name,
std::initializer_list<EventAttribute> attrs);
```
Callers pass plain `string_view` pairs; the implementation converts internally.
```cpp
// Actual usage in Consensus.h::updateOurPositions():
span.addEvent(
"dispute.resolve",
{{consensus::span::attr::txId, to_string(txId)},
{consensus::span::attr::disputeOurVote, dispute.getOurVote() ? "yes" : "no"}});
```
2. **Span link support** — implemented via `SpanGuard::linkedSpan()` static factory
instead of a `Telemetry::startSpan()` overload:
```cpp
static SpanGuard linkedSpan(
std::string_view name, SpanContext const& linkTarget);
```
3. **No macros added** — `TracingInstrumentation.h` was not created. The `XRPL_TRACE_CONSENSUS`,
`XRPL_TRACE_ADD_EVENT`, and `XRPL_TRACE_SET_ATTR` macros from the original plan were
not implemented. All consensus tracing uses direct `SpanGuard` API:
- `SpanGuard::span()` — create scoped spans
- `SpanGuard::hashSpan()` — create spans with deterministic trace IDs
- `SpanGuard::linkedSpan()` — create spans with follows-from links
- `span.setAttribute()` — set attributes directly
- `span.addEvent()` — add events directly
**Key modified files**:
- `include/xrpl/telemetry/SpanGuard.h` — `addEvent()` overload, `EventAttribute` type alias
- `src/libxrpl/telemetry/SpanGuard.cpp` — `addEvent()` implementation
---
## Task 4a.1: Adaptor `getTelemetry()` Method — NOT DONE (Not Needed)
**Objective**: Give `Consensus.h` access to the telemetry subsystem without
coupling the generic template to OTel headers.
**Status**: Not implemented as specified. The `getTelemetry()` adaptor method was
not needed because `SpanGuard::span()` is a static factory method that internally
checks telemetry state via the global `Telemetry` singleton. `Consensus.h` creates
spans by calling `SpanGuard::span(TraceCategory::Consensus, ...)` directly, without
needing adaptor access. Only `RCLConsensus::Adaptor` uses `app_.getTelemetry()`
directly (for `getConsensusTraceStrategy()` in `startRoundTracing()`).
**Key insight**: The `XRPL_TRACE_*` macro approach would have required
`adaptor_.getTelemetry()`. Since macros were not used, this task became unnecessary.
---
## Task 4a.2: Switchable Round Span with Deterministic Trace ID ✅
**Objective**: Create a `consensus.round` root span in `startRound()` that uses
the switchable correlation strategy. Store span context as a member for child
spans in `Consensus.h`.
**Status**: Done. Implemented in `Adaptor::startRoundTracing()`.
**What was done**:
- `RCLConsensus::Adaptor::startRoundTracing()` helper:
- Reads `consensus_trace_strategy` via `app_.getTelemetry().getConsensusTraceStrategy()`
- **Deterministic**: uses `SpanGuard::hashSpan()` with `prevLgr.id()` data
- **Attribute**: uses `SpanGuard::span(TraceCategory::Consensus, seg::consensus, "round")`
- Sets attributes: `xrpl.consensus.ledger_id`, `xrpl.ledger.seq`, `xrpl.consensus.mode`, `trace_strategy`, `xrpl.consensus.round_id`
- Captures `roundSpanContext_` snapshot for cross-thread span linking
- Saves `prevRoundContext_` from previous round for follows-from links
- **`SpanGuard::hashSpan()` factory**: encapsulates deterministic trace ID logic:
```cpp
static SpanGuard hashSpan(
TraceCategory cat, std::string_view name,
std::uint8_t const* hashData, std::size_t hashSize);
```
Derives `trace_id = hashData[0:16]` so all nodes in the same round share
the same trace_id. Compiles to no-op when telemetry is disabled.
- `consensus_trace_strategy` config parsed in `TelemetryConfig.cpp`,
stored in `Telemetry::Setup`, accessible via `Telemetry::getConsensusTraceStrategy()`
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp` — `startRoundTracing()` implementation
- `src/xrpld/app/consensus/ConsensusSpanNames.h` — **(new)** compile-time span name and attribute key constants
- `include/xrpl/telemetry/Telemetry.h` — `consensusTraceStrategy` in Setup, `getConsensusTraceStrategy()`
- `src/libxrpl/telemetry/TelemetryConfig.cpp` — parse new config option
---
## Task 4a.3: Span Members in `Consensus.h` ✅
**Objective**: Add span storage to the `Consensus` class so that spans created
in `startRound()` (adaptor) are accessible from `phaseEstablish()`,
`updateOurPositions()`, and `haveConsensus()` (template methods).
**Status**: Done with documented plan deviation.
**What was done**:
- `establishSpan_` added to `Consensus` private members (as planned):
```cpp
std::optional<xrpl::telemetry::SpanGuard> establishSpan_;
```
- **Plan deviation**: `roundSpan_`, `prevRoundContext_`, and `roundSpanContext_`
are stored in `RCLConsensus::Adaptor` (not `Consensus.h`) because the adaptor
has access to telemetry config for the deterministic trace ID strategy.
- **No `#ifdef XRPL_ENABLE_TELEMETRY` guards**: Members use `std::optional<SpanGuard>`
and `SpanContext` which have no-op implementations when telemetry is disabled,
so `#ifdef` guards are unnecessary. The members are always present in the class
layout but incur negligible overhead.
- Includes added unconditionally to `Consensus.h`:
```cpp
#include <xrpl/telemetry/SpanGuard.h>
#include <xrpld/app/consensus/ConsensusSpanNames.h>
```
No `TracingInstrumentation.h` include (file doesn't exist; macros not used).
**Key modified files**:
- `src/xrpld/consensus/Consensus.h`
- `src/xrpld/app/consensus/RCLConsensus.h` (round span and context members)
---
## Task 4a.4: Instrument `phaseEstablish()` ✅
**Objective**: Create `consensus.establish` span wrapping the establish phase,
with attributes for convergence progress.
**Status**: Done. Implemented via three private helpers in `Consensus.h`.
**What was done**:
- `startEstablishTracing()` — creates `consensus.establish` span via
`SpanGuard::span(TraceCategory::Consensus, seg::consensus, "establish")`.
Called once at start of establish phase. No `#ifdef` guards needed —
`SpanGuard::span()` returns a no-op guard when telemetry is disabled.
- `updateEstablishTracing()` — sets attributes on each `phaseEstablish()` call:
- `converge_percent` — `convergePercent_`
- `establish_count` — `establishCounter_`
- `proposers` — `currPeerPositions_.size()`
- `endEstablishTracing()` — calls `establishSpan_.reset()` on phase exit.
**Key modified files**:
- `src/xrpld/consensus/Consensus.h` — `phaseEstablish()` method + 3 helper methods
---
## Task 4a.5: Instrument `updateOurPositions()` ✅
**Objective**: Trace each position update cycle including dispute resolution
details.
**Status**: DONE. Span, dispute events with yays/nays, and disputes_count attribute are all implemented.
**What was done**:
- Creates `consensus.update_positions` scoped span via
`SpanGuard::span(TraceCategory::Consensus, seg::consensus, "update_positions")`:
```cpp
auto span = SpanGuard::span(TraceCategory::Consensus, seg::consensus, "update_positions");
```
- Attributes set:
- `converge_percent` — current convergence
- `proposers` — `currPeerPositions_.size()`
- `have_close_time_consensus` — close time consensus state
- `close_time_threshold` — `avCT_CONSENSUS_PCT`
- `disputes_count` — number of active disputes
- Dispute events recorded via direct `span.addEvent()` call with yays/nays:
```cpp
span.addEvent(
"dispute.resolve",
{{consensus::span::attr::txId, to_string(txId)},
{consensus::span::attr::disputeOurVote, dispute.getOurVote() ? "yes" : "no"},
{consensus::span::attr::disputeYays, std::to_string(dispute.getYays())},
{consensus::span::attr::disputeNays, std::to_string(dispute.getNays())}});
```
**Not implemented**:
- `proposers_agreed` / `proposers_total` attributes — not set
**Key modified files**:
- `src/xrpld/consensus/Consensus.h` — `updateOurPositions()` method
- `src/xrpld/consensus/DisputedTx.h` — added `getYays()` / `getNays()` (currently unused)
---
## Task 4a.6: Instrument `haveConsensus()` (Threshold & Convergence) ✅
**Objective**: Trace consensus checking including threshold escalation.
**Status**: DONE. The `consensus.check` span is created with all planned attributes
including the avalanche threshold.
**What was done**:
- Creates `consensus.check` scoped span via
`SpanGuard::span(TraceCategory::Consensus, seg::consensus, "check")`:
```cpp
auto span = SpanGuard::span(TraceCategory::Consensus, seg::consensus, "check");
```
- Attributes set:
- `agree_count` — peers that agree with our position
- `disagree_count` — peers that disagree
- `converge_percent` — convergence percentage
- `have_close_time_consensus` — close time consensus state
- `threshold_percent` — set to `avCT_CONSENSUS_PCT` (75%)
- `consensus_result` — "yes", "no", or "moved_on"
- `avalanche_threshold` — the escalated weight from `getNeededWeight()` on the `consensus.update_positions` span
**Key modified files**:
- `src/xrpld/consensus/Consensus.h` — `haveConsensus()` method
---
## Task 4a.7: Instrument Mode Changes ✅
**Objective**: Trace consensus mode transitions (proposing ↔ observing,
wrongLedger, switchedLedger).
**Status**: Done.
**What was done**:
- In `RCLConsensus::Adaptor::onModeChange()`, creates a scoped span via direct
`SpanGuard::span()` call:
```cpp
auto span = telemetry::SpanGuard::span(
telemetry::TraceCategory::Consensus, telemetry::seg::consensus, "mode_change");
span.setAttribute(consensus::span::attr::modeOld, to_string(before).c_str()); // "mode_old"
span.setAttribute(consensus::span::attr::modeNew, to_string(after).c_str()); // "mode_new"
```
- `MonitoredMode::set()` in `Consensus.h` calls `adaptor_.onModeChange(before, after)`.
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp` — `onModeChange()`
---
## Task 4a.8: Reparent Existing Spans Under Round ✅
**Objective**: Make existing consensus spans (`consensus.accept`,
`consensus.accept.apply`, `consensus.validation.send`) children of the
`consensus.round` root span instead of being standalone.
**Status**: DONE. All three spans are now parented under the round span.
**What was done**:
- `consensus.validation.send` uses `SpanGuard::linkedSpan()` to create a
follows-from link to `roundSpanContext_`. This is thread-safe because
`roundSpanContext_` is a lightweight `SpanContext` snapshot captured on the
consensus thread and read on the jtACCEPT worker thread.
- `consensus.accept` and `consensus.accept.apply` now use
`SpanGuard::childSpan(name, roundSpanContext_)` instead of `SpanGuard::span()`
to explicitly parent under the round span context. This solves the cross-thread
parenting problem:
- `doAccept()` runs on the jtACCEPT worker thread (not the consensus thread)
- `childSpan()` explicitly passes the parent context, bypassing OTel's
thread-local context propagation
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
---
## Task 4a.9: Build Verification and Testing ✅
**Objective**: Verify all Phase 4a changes compile cleanly with telemetry ON
and OFF, and don't affect consensus timing.
**What to do**:
1. Build with `telemetry=ON` — verify no compilation errors
2. Build with `telemetry=OFF` — verify `SpanGuard` compiles to no-ops
3. Run existing consensus unit tests
4. Verify `SpanGuard` / `SpanContext` members have negligible overhead when disabled
5. Run `pccl` pre-commit checks
**Verification Checklist**:
- [x] Build succeeds with telemetry ON
- [x] Build succeeds with telemetry OFF
- [x] Existing consensus tests pass
- [x] `SpanGuard` no-op path verified (no `#ifdef` needed — disabled at runtime)
- [x] No new virtual calls in hot consensus paths
- [x] `pccl` passes
---
## Phase 4a Summary
| Task | Description | Status | New Files | Modified Files | Depends On |
| ---- | ------------------------------------------------ | ------------------------ | --------- | -------------- | ---------- |
| 4a.0 | Prerequisites: extend SpanGuard & Telemetry APIs | ✅ Done (no macros) | 0 | 2 | Phase 4 |
| 4a.1 | Adaptor `getTelemetry()` method | ⏭️ Skipped (not needed) | 0 | 0 | Phase 4 |
| 4a.2 | Switchable round span with deterministic traceID | ✅ Done | 1 | 3 | 4a.0 |
| 4a.3 | Span members in `Consensus.h` | ✅ Done (with deviation) | 0 | 2 | — |
| 4a.4 | Instrument `phaseEstablish()` | ✅ Done | 0 | 1 | 4a.3 |
| 4a.5 | Instrument `updateOurPositions()` | ✅ Done | 0 | 2 | 4a.0, 4a.3 |
| 4a.6 | Instrument `haveConsensus()` (thresholds) | ✅ Done | 0 | 1 | 4a.3 |
| 4a.7 | Instrument mode changes | ✅ Done | 0 | 1 | — |
| 4a.8 | Reparent existing spans under round | ✅ Done | 0 | 1 | 4a.0, 4a.2 |
| 4a.9 | Build verification and testing | ✅ Done | 0 | 0 | 4a.0-4a.8 |
**Parallel work**: Tasks 4a.0 and 4a.1 can run in parallel. Tasks 4a.4, 4a.5, 4a.6, and 4a.7 can run in parallel after 4a.3 (and 4a.0 for 4a.5).
### New Spans (Phase 4a)
| Span Name | Location | Key Attributes (actually set) |
| ---------------------------- | ------------------ | ----------------------------------------------------------------------------------------------------------------------------- |
| `consensus.round` | `RCLConsensus.cpp` | `xrpl.consensus.round_id`, `xrpl.consensus.ledger_id`, `xrpl.ledger.seq`, `xrpl.consensus.mode`, `trace_strategy` |
| `consensus.establish` | `Consensus.h` | `converge_percent`, `establish_count`, `proposers` |
| `consensus.update_positions` | `Consensus.h` | `converge_percent`, `proposers`, `have_close_time_consensus`, `close_time_threshold`, `disputes_count`, `avalanche_threshold` |
| `consensus.check` | `Consensus.h` | `agree_count`, `disagree_count`, `converge_percent`, `have_close_time_consensus`, `threshold_percent`, `consensus_result` |
| `consensus.mode_change` | `RCLConsensus.cpp` | `mode_old`, `mode_new` |
### New Events (Phase 4a)
| Event Name | Parent Span | Attributes (actually set) |
| ----------------- | ---------------------------- | ---------------------------------------------------------------- |
| `dispute.resolve` | `consensus.update_positions` | `xrpl.tx.id`, `dispute_our_vote`, `dispute_yays`, `dispute_nays` |
| `tx.included` | `consensus.accept.apply` | `xrpl.tx.id` |
### New Attributes (Phase 4a)
```cpp
// Round-level (on consensus.round) — ALL IMPLEMENTED
"xrpl.consensus.round_id" = int64 // Consensus round number
"xrpl.consensus.ledger_id" = string // previousLedger.id() hash
"trace_strategy" = string // "deterministic" or "attribute"
// Establish-level — IMPLEMENTED
"converge_percent" = int64 // Convergence % (0-100+)
"establish_count" = int64 // Number of establish iterations
"agree_count" = int64 // Peers that agree (haveConsensus)
"disagree_count" = int64 // Peers that disagree
"threshold_percent" = int64 // Current threshold (avCT_CONSENSUS_PCT = 75%)
"consensus_result" = string // "yes", "no", "moved_on"
"have_close_time_consensus" = bool // Close time consensus reached
"close_time_threshold" = int64 // Close time voting threshold
// Establish-level — IMPLEMENTED
"disputes_count" = int64 // Active disputes (on update_positions)
"avalanche_threshold" = int64 // Escalated weight (on update_positions)
// Establish-level — NOT IMPLEMENTED
// "proposers_agreed" = int64 // Peers agreeing with us — not set
// "proposers_total" = int64 // Total peer positions — not set (not defined)
// Mode change — ALL IMPLEMENTED
"mode_old" = string // Previous mode
"mode_new" = string // New mode
```
### Implementation Notes
- **No macros**: The planned `XRPL_TRACE_CONSENSUS`, `XRPL_TRACE_ADD_EVENT`, and
`XRPL_TRACE_SET_ATTR` macros were not implemented. All consensus tracing uses
`SpanGuard` factory methods (`span()`, `hashSpan()`, `linkedSpan()`) and direct
method calls (`setAttribute()`, `addEvent()`). This avoids macro control-flow
issues and is cleaner than the planned approach.
- **Separation of concerns**: All non-trivial telemetry code extracted to private
helpers (`startRoundTracing`, `createValidationSpan`, `startEstablishTracing`,
`updateEstablishTracing`, `endEstablishTracing`). Business logic methods contain
single-line calls to these helpers.
- **Thread safety**: `createValidationSpan()` runs on the jtACCEPT worker thread.
Instead of accessing `roundSpan_` across threads, a `roundSpanContext_` snapshot
(lightweight `SpanContext` value type) is captured on the consensus thread in
`startRoundTracing()` and read by `createValidationSpan()`. The job queue
provides the happens-before guarantee.
- **No `#ifdef` guards**: Span members use `std::optional<SpanGuard>` and `SpanContext`
which have no-op implementations when telemetry is disabled. No `#ifdef XRPL_ENABLE_TELEMETRY`
guards needed around members or includes.
- **No `getTelemetry()` adaptor method**: `SpanGuard::span()` is a static factory that
internally checks telemetry state, so `Consensus.h` doesn't need adaptor access
for span creation. Only `RCLConsensus::Adaptor` accesses `app_.getTelemetry()` directly.
- **Config validation**: `consensus_trace_strategy` is validated to be either
`"deterministic"` or `"attribute"`, falling back to `"deterministic"` for
unrecognised values.
- **Plan deviation**: `roundSpan_` is stored in `RCLConsensus::Adaptor` (not
`Consensus.h`) because the adaptor has access to telemetry config and can
implement the deterministic trace ID strategy. `establishSpan_` is correctly
in `Consensus.h` as planned.
---
# Phase 4b: Cross-Node Propagation (Future — Documentation Only)
> **Goal**: Wire `TraceContextPropagator` for P2P messages so that proposals
> and validations carry trace context between nodes. This enables true
> distributed tracing where a proposal sent by Node A creates a child span
> on Node B.
>
> **Status**: NOT IMPLEMENTED. The protobuf fields and propagator class exist
> but are not wired. This section documents the design for future work.
## Architecture
```
Node A (proposing) Node B (receiving)
───────────────── ──────────────────
consensus.round consensus.round
├── propose() ├── peerProposal()
│ └── TraceContextPropagator │ └── TraceContextPropagator
│ ::injectToProtobuf( │ ::extractFromProtobuf(
│ TMProposeSet.trace_context) │ TMProposeSet.trace_context)
│ │ └── span link → Node A's context
└── validate() └── onValidation()
└── inject into TMValidation └── extract from TMValidation
```
## Wiring Points
| Message | Inject Location | Extract Location | Protobuf Field |
| --------------- | ---------------------------------- | ----------------------------------- | -------------------------- |
| `TMProposeSet` | `Adaptor::propose()` | `PeerImp::onMessage(TMProposeSet)` | field 1001: `TraceContext` |
| `TMValidation` | `Adaptor::validate()` | `PeerImp::onMessage(TMValidation)` | field 1001: `TraceContext` |
| `TMTransaction` | `NetworkOPs::processTransaction()` | `PeerImp::onMessage(TMTransaction)` | field 1001: `TraceContext` |
## Span Link Semantics
Received messages use **span links** (follows-from), NOT parent-child:
- The receiver's processing span links to the sender's context
- This preserves each node's independent trace tree
- Cross-node correlation visible via linked traces in Tempo/Jaeger
## Interaction with Deterministic Trace ID (Strategy A)
When using deterministic trace_id (Phase 4a default), cross-node spans already
share the same trace_id. P2P propagation adds **span-level** linking:
- Without propagation: spans from different nodes appear in the same trace
(same trace_id) but without parent-child or follows-from relationships.
- With propagation: spans have explicit links showing which proposal/validation
from Node A caused processing on Node B.
## Prerequisites
- Phase 4a (this task list) — establish phase tracing must be in place
- `TraceContextPropagator` free functions (already exist in
`include/xrpl/telemetry/TraceContextPropagator.h`)
- Protobuf `TraceContext` message (already exists, field 1001)

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@@ -1,250 +0,0 @@
# Phase 5: Documentation & Deployment Task List
> **Goal**: Production readiness — Grafana dashboards, spanmetrics pipeline, operator runbook, alert definitions, and final integration testing. This phase ensures the telemetry system is useful and maintainable in production.
>
> **Scope**: Grafana dashboard definitions, OTel Collector spanmetrics connector, Prometheus integration, alert rules, operator documentation, and production-ready Docker Compose stack.
>
> **Branch**: `pratik/otel-phase5-docs-deployment` (from `pratik/otel-phase4-consensus-tracing`)
> **Note on attribute names**: the `xrpl.<domain>.<field>` keys shown below
> (including the collector spanmetrics dimension examples) are written in the
> older dotted form for readability — it mirrors how the fully qualified
> attribute reads in a Tempo trace view. The implemented keys follow the
> convention in [CONTRIBUTING.md](../CONTRIBUTING.md#telemetry-span-attribute-naming)
> (underscore form, e.g. `command`, `rpc_status`); the `*SpanNames.h` constants
> are the single source of truth, and the real collector dimensions must use
> those exact underscore keys (the CI naming check enforces this).
### Related Plan Documents
| Document | Relevance |
| ---------------------------------------------------------------- | -------------------------------------------------------------------------- |
| [07-observability-backends.md](./07-observability-backends.md) | Tempo setup (§7.1), Grafana dashboards (§7.6), alerts (§7.6.3) |
| [05-configuration-reference.md](./05-configuration-reference.md) | Collector config (§5.5), production config (§5.5.2), Docker Compose (§5.6) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 5 tasks (§6.6), definition of done (§6.11.5) |
---
## Task 5.1: Add Spanmetrics Connector to OTel Collector
**Objective**: Derive RED metrics (Rate, Errors, Duration) from trace spans automatically, enabling Grafana time-series dashboards.
**What to do**:
- Edit `docker/telemetry/otel-collector-config.yaml`:
- Add `spanmetrics` connector:
```yaml
connectors:
spanmetrics:
histogram:
explicit:
buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
dimensions:
- name: command
- name: rpc_status
- name: consensus_phase
- name: tx_type
```
- Add `prometheus` exporter:
```yaml
exporters:
prometheus:
endpoint: 0.0.0.0:8889
```
- Wire the pipeline:
```yaml
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/tempo, spanmetrics]
metrics:
receivers: [spanmetrics]
exporters: [prometheus]
```
- Edit `docker/telemetry/docker-compose.yml`:
- Expose port `8889` on the collector for Prometheus scraping
- Add Prometheus service
- Add Prometheus as Grafana datasource
**Key modified files**:
- `docker/telemetry/otel-collector-config.yaml`
- `docker/telemetry/docker-compose.yml`
**Key new files**:
- `docker/telemetry/prometheus.yml` (Prometheus scrape config)
- `docker/telemetry/grafana/provisioning/datasources/prometheus.yaml`
**Reference**:
- [POC_taskList.md §Next Steps](./POC_taskList.md) — Metrics pipeline for Grafana dashboards
---
## Task 5.2: Create Grafana Dashboards
**Objective**: Provide pre-built Grafana dashboards for RPC performance, transaction lifecycle, and consensus health.
**What to do**:
- Create `docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml` (provisioning config)
- Create dashboard JSON files:
1. **RPC Performance Dashboard** (`rpc-performance.json`):
- RPC request latency (p50/p95/p99) by command — histogram panel
- RPC throughput (requests/sec) by command — time series
- RPC error rate by command — bar gauge
- Top slowest RPC commands — table
2. **Transaction Overview Dashboard** (`transaction-overview.json`):
- Transaction processing rate — time series
- Transaction latency distribution — histogram
- Suppression rate (duplicates) — stat panel
- Transaction processing path (sync vs async) — pie chart
3. **Consensus Health Dashboard** (`consensus-health.json`):
- Consensus round duration — time series
- Phase duration breakdown (open/establish/accept) — stacked bar
- Proposals sent/received per round — stat panel
- Consensus mode distribution (proposing/observing) — pie chart
- Store dashboards in `docker/telemetry/grafana/dashboards/`
**Key new files**:
- `docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml`
- `docker/telemetry/grafana/dashboards/rpc-performance.json`
- `docker/telemetry/grafana/dashboards/transaction-overview.json`
- `docker/telemetry/grafana/dashboards/consensus-health.json`
**Reference**:
- [07-observability-backends.md §7.6](./07-observability-backends.md) — Grafana dashboard specifications
- [01-architecture-analysis.md §1.8.3](./01-architecture-analysis.md) — Dashboard panel examples
---
## Task 5.3: Define Alert Rules
**Objective**: Create alert definitions for key telemetry anomalies.
**What to do**:
- Create `docker/telemetry/grafana/provisioning/alerting/alerts.yaml`:
- **RPC Latency Alert**: p99 latency > 1s for any command over 5 minutes
- **RPC Error Rate Alert**: Error rate > 5% for any command over 5 minutes
- **Consensus Duration Alert**: Round duration > 10s (warn), > 30s (critical)
- **Transaction Processing Alert**: Processing rate drops below threshold
- **Telemetry Pipeline Health**: No spans received for > 2 minutes
**Key new files**:
- `docker/telemetry/grafana/provisioning/alerting/alerts.yaml`
**Reference**:
- [07-observability-backends.md §7.6.3](./07-observability-backends.md) — Alert rule definitions
---
## Task 5.4: Production Collector Configuration
**Objective**: Create a production-ready OTel Collector configuration with tail-based sampling and resource limits.
**What to do**:
- Create `docker/telemetry/otel-collector-config-production.yaml`:
- Tail-based sampling policy:
- Always sample errors and slow traces
- 10% base sampling rate for normal traces
- Always sample first trace for each unique RPC command
- Resource limits:
- Memory limiter processor (80% of available memory)
- Queued retry for export failures
- TLS configuration for production endpoints
- Health check endpoint
**Key new files**:
- `docker/telemetry/otel-collector-config-production.yaml`
**Reference**:
- [05-configuration-reference.md §5.5.2](./05-configuration-reference.md) — Production collector config
---
## Task 5.5: Operator Runbook
**Objective**: Create operator documentation for managing the telemetry system in production.
**What to do**:
- Create `docs/telemetry-runbook.md`:
- **Setup**: How to enable telemetry in xrpld
- **Configuration**: All config options with descriptions
- **Collector Deployment**: Docker Compose vs. Kubernetes vs. bare metal
- **Troubleshooting**: Common issues and resolutions
- No traces appearing
- High memory usage from telemetry
- Collector connection failures
- Sampling configuration tuning
- **Performance Tuning**: Batch size, queue size, sampling ratio guidelines
- **Upgrading**: How to upgrade OTel SDK and Collector versions
**Key new files**:
- `docs/telemetry-runbook.md`
---
## Task 5.6: Final Integration Testing
**Objective**: Validate the complete telemetry stack end-to-end.
**What to do**:
1. Start full Docker stack (Collector, Tempo, Grafana, Prometheus)
2. Build xrpld with `telemetry=ON`
3. Run in standalone mode with telemetry enabled
4. Generate RPC traffic and verify traces in Tempo
5. Verify dashboards populate in Grafana
6. Verify alerts trigger correctly
7. Test telemetry OFF path (no regressions)
8. Run full test suite
**Verification Checklist**:
- [ ] Docker stack starts without errors
- [ ] Traces appear in Tempo with correct hierarchy
- [ ] Grafana dashboards show metrics derived from spans
- [ ] Prometheus scrapes spanmetrics successfully
- [ ] Alerts can be triggered by simulated conditions
- [ ] Build succeeds with telemetry ON and OFF
- [ ] Full test suite passes
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ---------------------------------- | --------- | -------------- | ---------- |
| 5.1 | Spanmetrics connector + Prometheus | 2 | 2 | Phase 4 |
| 5.2 | Grafana dashboards | 4 | 0 | 5.1 |
| 5.3 | Alert definitions | 1 | 0 | 5.1 |
| 5.4 | Production collector config | 1 | 0 | Phase 4 |
| 5.5 | Operator runbook | 1 | 0 | Phase 4 |
| 5.6 | Final integration testing | 0 | 0 | 5.1-5.5 |
**Parallel work**: Tasks 5.1, 5.4, and 5.5 can run in parallel. Tasks 5.2 and 5.3 depend on 5.1. Task 5.6 depends on all others.
**Exit Criteria** (from [06-implementation-phases.md §6.11.5](./06-implementation-phases.md)):
- [ ] Dashboards deployed and showing data
- [ ] Alerts configured and tested
- [ ] Operator documentation complete
- [ ] Production collector config ready
- [ ] Full test suite passes

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@@ -1,673 +0,0 @@
# OpenTelemetry Distributed Tracing for xrpld
---
## Slide 1: Introduction
> **CNCF** = Cloud Native Computing Foundation
### What is OpenTelemetry?
OpenTelemetry is an open-source, CNCF-backed observability framework for distributed tracing, metrics, and logs.
### Why OpenTelemetry for xrpld?
- **End-to-End Transaction Visibility**: Track transactions from submission → consensus → ledger inclusion
- **Cross-Node Correlation**: Follow requests across multiple independent nodes using a unique `trace_id`
- **Consensus Round Analysis**: Understand timing and behavior across validators
- **Incident Debugging**: Correlate events across distributed nodes during issues
```mermaid
flowchart LR
A["Node A<br/>tx.receive<br/>trace_id: abc123"] --> B["Node B<br/>tx.relay<br/>trace_id: abc123"] --> C["Node C<br/>tx.validate<br/>trace_id: abc123"] --> D["Node D<br/>ledger.apply<br/>trace_id: abc123"]
style A fill:#1565c0,stroke:#0d47a1,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#2e7d32,stroke:#1b5e20,color:#fff
style D fill:#e65100,stroke:#bf360c,color:#fff
```
**Reading the diagram:**
- **Node A (blue, leftmost)**: The originating node that first receives the transaction and assigns a new `trace_id: abc123`; this ID becomes the correlation key for the entire distributed trace.
- **Node B and Node C (green, middle)**: Relay and validation nodes — each creates its own span but carries the same `trace_id`, so their work is linked to the original submission without any central coordinator.
- **Node D (orange, rightmost)**: The final node that applies the transaction to the ledger; the trace now spans the full lifecycle from submission to ledger inclusion.
- **Left-to-right flow**: The horizontal progression shows the real-world message path — a transaction hops from node to node, and the shared `trace_id` stitches all hops into a single queryable trace.
> **Trace ID: abc123** — All nodes share the same trace, enabling cross-node correlation.
---
## Slide 2: OpenTelemetry vs Open Source Alternatives
> **CNCF** = Cloud Native Computing Foundation
| Feature | OpenTelemetry | Jaeger | Zipkin | SkyWalking | Pinpoint | Prometheus |
| ------------------- | ---------------- | ---------------- | ------------------ | ---------- | ---------- | ---------- |
| **Tracing** | YES | YES | YES | YES | YES | NO |
| **Metrics** | YES | NO | NO | YES | YES | YES |
| **Logs** | YES | NO | NO | YES | NO | NO |
| **C++ SDK** | YES Official | YES (Deprecated) | YES (Unmaintained) | NO | NO | YES |
| **Vendor Neutral** | YES Primary goal | NO | NO | NO | NO | NO |
| **Instrumentation** | Manual + Auto | Manual | Manual | Auto-first | Auto-first | Manual |
| **Backend** | Any (exporters) | Self | Self | Self | Self | Self |
| **CNCF Status** | Incubating | Graduated | NO | Incubating | NO | Graduated |
> **Why OpenTelemetry?** It's the only actively maintained, full-featured C++ option with vendor neutrality — allowing export to Tempo, Prometheus, Grafana, or any commercial backend without changing instrumentation.
---
## Slide 3: Adoption Scope — Traces Only (Current Plan)
OpenTelemetry supports three signal types: **Traces**, **Metrics**, and **Logs**. xrpld already captures metrics (StatsD via Beast Insight) and logs (Journal/PerfLog). The question is: how much of OTel do we adopt?
> **Scenario A**: Add distributed tracing. Keep StatsD for metrics and Journal for logs.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
direction TB
OTel["OTel SDK<br/>(Traces)"]
Insight["Beast Insight<br/>(StatsD Metrics)"]
Journal["Journal + PerfLog<br/>(Logging)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Insight -->|"UDP"| StatsD["StatsD Server"]
Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
Collector --> Tempo["Tempo"]
StatsD --> Graphite["Graphite / Grafana"]
LogFile --> Loki["Loki (optional)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Insight fill:#1565c0,stroke:#0d47a1,color:#fff
style Journal fill:#e65100,stroke:#bf360c,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
| Aspect | Details |
| ------------------------------ | --------------------------------------------------------------------------------------------------------------- |
| **What changes for operators** | Deploy OTel Collector + trace backend. Existing StatsD and log pipelines stay as-is. |
| **Codebase impact** | New `Telemetry` module (~1500 LOC). Beast Insight and Journal untouched. |
| **New capabilities** | Cross-node trace correlation, span-based debugging, request lifecycle visibility. |
| **What we still can't do** | Correlate metrics with specific traces natively. StatsD metrics remain fire-and-forget with no trace exemplars. |
| **Maintenance burden** | Three separate observability systems to maintain (OTel + StatsD + Journal). |
| **Risk** | Lowest — additive change, no existing systems disturbed. |
---
## Slide 4: Future Adoption — Metrics & Logs via OTel
### Scenario B: + OTel Metrics (Replace StatsD)
> Migrate StatsD to OTel Metrics API, exposing Prometheus-compatible metrics. Remove Beast Insight.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
direction TB
OTel["OTel SDK<br/>(Traces + Metrics)"]
Journal["Journal + PerfLog<br/>(Logging)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
Collector --> Tempo["Tempo<br/>(Traces)"]
Collector --> Prom["Prometheus<br/>(Metrics)"]
LogFile --> Loki["Loki (optional)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Journal fill:#e65100,stroke:#bf360c,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
- **Better metrics?** Yes — Prometheus gives native histograms (p50/p95/p99), multi-dimensional labels, and exemplars linking metric spikes to traces.
- **Codebase**: Remove `Beast::Insight` + `StatsDCollector` (~2000 LOC). Single SDK for traces and metrics.
- **Operator effort**: Rewrite dashboards from StatsD/Graphite queries to PromQL. Run both in parallel during transition.
- **Risk**: Medium — operators must migrate monitoring infrastructure.
### Scenario C: + OTel Logs (Full Stack)
> Also replace Journal logging with OTel Logs API. Single SDK for everything.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
OTel["OTel SDK<br/>(Traces + Metrics + Logs)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Collector --> Tempo["Tempo<br/>(Traces)"]
Collector --> Prom["Prometheus<br/>(Metrics)"]
Collector --> Loki["Loki / Elastic<br/>(Logs)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
- **Structured logging**: OTel Logs API outputs structured records with `trace_id`, `span_id`, severity, and attributes by design.
- **Full correlation**: Every log line carries `trace_id`. Click trace → see logs. Click metric spike → see trace → see logs.
- **Codebase**: Remove Beast Insight (~2000 LOC) + simplify Journal/PerfLog (~3000 LOC). One dependency instead of three.
- **Risk**: Highest — `beast::Journal` is deeply embedded in every component. Large refactor. OTel C++ Logs API is newer (stable since v1.11, less battle-tested).
### Recommendation
```mermaid
flowchart LR
A["Phase 1<br/><b>Traces Only</b><br/>(Current Plan)"] --> B["Phase 2<br/><b>+ Metrics</b><br/>(Replace StatsD)"] --> C["Phase 3<br/><b>+ Logs</b><br/>(Full OTel)"]
style A fill:#2e7d32,stroke:#1b5e20,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
```
| Phase | Signal | Strategy | Risk |
| -------------------- | --------- | -------------------------------------------------------------- | ------ |
| **Phase 1** (now) | Traces | Add OTel traces. Keep StatsD and Journal. Prove value. | Low |
| **Phase 2** (future) | + Metrics | Migrate StatsD → Prometheus via OTel. Remove Beast Insight. | Medium |
| **Phase 3** (future) | + Logs | Adopt OTel Logs API. Align with structured logging initiative. | High |
> **Key Takeaway**: Start with traces (unique value, lowest risk), then incrementally adopt metrics and logs as the OTel infrastructure proves itself.
---
## Slide 5: Comparison with xrpld's Existing Solutions
### Current Observability Stack
| Aspect | PerfLog (JSON) | StatsD (Metrics) | OpenTelemetry (NEW) |
| --------------------- | --------------------- | --------------------- | --------------------------- |
| **Type** | Logging | Metrics | Distributed Tracing |
| **Scope** | Single node | Single node | **Cross-node** |
| **Data** | JSON log entries | Counters, gauges | Spans with context |
| **Correlation** | By timestamp | By metric name | By `trace_id` |
| **Overhead** | Low (file I/O) | Low (UDP) | Low-Medium (configurable) |
| **Question Answered** | "What happened here?" | "How many? How fast?" | **"What was the journey?"** |
### Use Case Matrix
| Scenario | PerfLog | StatsD | OpenTelemetry |
| -------------------------------- | ------- | ------ | ------------- |
| "How many TXs per second?" | ❌ | ✅ | ❌ |
| "Why was this specific TX slow?" | ⚠️ | ❌ | ✅ |
| "Which node delayed consensus?" | ❌ | ❌ | ✅ |
| "Show TX journey across 5 nodes" | ❌ | ❌ | ✅ |
> **Key Insight**: In the **traces-only** approach (Phase 1), OpenTelemetry **complements** existing systems. In future phases, OTel metrics and logs could **replace** StatsD and Journal respectively — see Slides 3-4 for the full adoption roadmap.
---
## Slide 6: Architecture
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### High-Level Integration Architecture
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
subgraph services["Core Services"]
direction LR
RPC["RPC Server<br/>(HTTP/WS)"] ~~~ Overlay["Overlay<br/>(P2P Network)"] ~~~ Consensus["Consensus<br/>(RCLConsensus)"]
end
Telemetry["Telemetry Module<br/>(OpenTelemetry SDK)"]
services --> Telemetry
end
Telemetry -->|OTLP/gRPC| Collector["OTel Collector"]
Collector --> Tempo["Grafana Tempo"]
Collector --> Elastic["Elastic APM"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style services fill:#1565c0,stroke:#0d47a1,color:#fff
style Telemetry fill:#2e7d32,stroke:#1b5e20,color:#fff
style Collector fill:#e65100,stroke:#bf360c,color:#fff
```
**Reading the diagram:**
- **Core Services (blue, top)**: RPC Server, Overlay, and Consensus are the three primary components that generate trace data — they represent the entry points for client requests, peer messages, and consensus rounds respectively.
- **Telemetry Module (green, middle)**: The OpenTelemetry SDK sits below the core services and receives span data from all three; it acts as a single collection point within the xrpld process.
- **OTel Collector (orange, center)**: An external process that receives spans over OTLP/gRPC from the Telemetry Module; it decouples xrpld from backend choices and handles batching, sampling, and routing.
- **Backends (bottom row)**: Tempo and Elastic APM are interchangeable — the Collector fans out to any combination, so operators can switch backends without modifying xrpld code.
- **Top-to-bottom flow**: Data flows from instrumented code down through the SDK, out over the network to the Collector, and finally into storage/visualization backends.
### Context Propagation
```mermaid
sequenceDiagram
participant Client
participant NodeA as Node A
participant NodeB as Node B
Client->>NodeA: Submit TX (no context)
Note over NodeA: Creates trace_id: abc123<br/>span: tx.receive
NodeA->>NodeB: Relay TX<br/>(traceparent: abc123)
Note over NodeB: Links to trace_id: abc123<br/>span: tx.relay
```
- **HTTP/RPC**: W3C Trace Context headers (`traceparent`)
- **P2P Messages**: Protocol Buffer extension fields
---
## Slide 7: Implementation Plan
### 5-Phase Rollout (9 Weeks)
> **Note**: Dates shown are relative to project start, not calendar dates.
```mermaid
gantt
title Implementation Timeline
dateFormat YYYY-MM-DD
axisFormat Week %W
section Phase 1
Core Infrastructure :p1, 2024-01-01, 2w
section Phase 2
RPC Tracing :p2, after p1, 2w
section Phase 3
Transaction Tracing :p3, after p2, 2w
section Phase 4
Consensus Tracing :p4, after p3, 2w
section Phase 5
Documentation :p5, after p4, 1w
```
### Phase Details
| Phase | Focus | Key Deliverables | Effort |
| ----- | ------------------- | -------------------------------------------- | ------- |
| 1 | Core Infrastructure | SDK integration, Telemetry interface, Config | 10 days |
| 2 | RPC Tracing | HTTP context extraction, Handler spans | 10 days |
| 3 | Transaction Tracing | Protobuf context, P2P relay propagation | 10 days |
| 4 | Consensus Tracing | Round spans, Proposal/validation tracing | 10 days |
| 5 | Documentation | Runbook, Dashboards, Training | 7 days |
**Total Effort**: ~47 developer-days (2 developers)
> **Future Phases** (not in current scope): After traces are stable, OTel metrics can replace StatsD (~3 weeks), and OTel logs can replace Journal (~4 weeks, aligned with structured logging initiative). See Slides 3-4 for the full adoption roadmap.
---
## Slide 8: Performance Overhead
> **OTLP** = OpenTelemetry Protocol
### Estimated System Impact
| Metric | Overhead | Notes |
| ----------------- | ---------- | ------------------------------------------------ |
| **CPU** | 1-3% | Span creation and attribute setting |
| **Memory** | ~10 MB | SDK statics + batch buffer + worker thread stack |
| **Network** | 10-50 KB/s | Compressed OTLP export to collector |
| **Latency (p99)** | <2% | With proper sampling configuration |
#### How We Arrived at These Numbers
**Assumptions (XRPL mainnet baseline)**:
| Parameter | Value | Source |
| ------------------------- | ---------------------- | --------------------------------------------------------------------------------------------------- |
| Transaction throughput | ~25 TPS (peaks to ~50) | Mainnet average |
| Default peers per node | 21 | `peerfinder/detail/Tuning.h` (`defaultMaxPeers`) |
| Consensus round frequency | ~1 round / 3-4 seconds | `ConsensusParms.h` (`ledgerMIN_CONSENSUS=1950ms`) |
| Proposers per round | ~20-35 | Mainnet UNL size |
| P2P message rate | ~160 msgs/sec | See message breakdown below |
| Avg TX processing time | ~200 μs | Profiled baseline |
| Single span creation cost | 500-1000 ns | OTel C++ SDK benchmarks (see [3.5.4](./03-implementation-strategy.md#354-performance-data-sources)) |
**P2P message breakdown** (per node, mainnet):
| Message Type | Rate | Derivation |
| ------------- | ------------ | --------------------------------------------------------------------- |
| TMTransaction | ~100/sec | ~25 TPS × ~4 relay hops per TX, deduplicated by HashRouter |
| TMValidation | ~50/sec | ~35 validators × ~1 validation/3s round ~12/sec, plus relay fan-out |
| TMProposeSet | ~10/sec | ~35 proposers / 3s round ~12/round, clustered in establish phase |
| **Total** | **~160/sec** | **Only traced message types counted** |
**CPU (1-3%) — Calculation**:
Per-transaction tracing cost breakdown:
| Operation | Cost | Notes |
| ----------------------------------------------- | ----------- | ------------------------------------------ |
| `tx.receive` span (create + end + 4 attributes) | ~1400 ns | ~1000ns create + ~200ns end + 4×50ns attrs |
| `tx.validate` span | ~1200 ns | ~1000ns create + ~200ns for 2 attributes |
| `tx.relay` span | ~1200 ns | ~1000ns create + ~200ns for 2 attributes |
| Context injection into P2P message | ~200 ns | Serialize trace_id + span_id into protobuf |
| **Total per TX** | **~4.0 μs** | |
> **CPU overhead**: 4.0 μs / 200 μs baseline = **~2.0% per transaction**. Under high load with consensus + RPC spans overlapping, reaches ~3%. Consensus itself adds only ~36 μs per 3-second round (~0.001%), so the TX path dominates. On production server hardware (3+ GHz Xeon), span creation drops to ~500-600 ns, bringing per-TX cost to ~2.6 μs (~1.3%). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for benchmark sources.
**Memory (~10 MB) — Calculation**:
| Component | Size | Notes |
| --------------------------------------------- | ------------------ | ------------------------------------- |
| TracerProvider + Exporter (gRPC channel init) | ~320 KB | Allocated once at startup |
| BatchSpanProcessor (circular buffer) | ~16 KB | 2049 × 8-byte AtomicUniquePtr entries |
| BatchSpanProcessor (worker thread stack) | ~8 MB | Default Linux thread stack size |
| Active spans (in-flight, max ~1000) | ~500-800 KB | ~500-800 bytes/span × 1000 concurrent |
| Export queue (batch buffer, max 2048 spans) | ~1 MB | ~500 bytes/span × 2048 queue depth |
| Thread-local context storage (~100 threads) | ~6.4 KB | ~64 bytes/thread |
| **Total** | **~10 MB ceiling** | |
> Memory plateaus once the export queue fills — the `max_queue_size=2048` config bounds growth.
> The worker thread stack (~8 MB) dominates the static footprint but is virtual memory; actual RSS
> depends on stack usage (typically much less). Active spans are larger than originally estimated
> (~500-800 bytes) because the OTel SDK `Span` object includes a mutex (~40 bytes), `SpanData`
> recordable (~250 bytes base), and `std::map`-based attribute storage (~200-500 bytes for 3-5
> string attributes). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for source references.
**Network (10-50 KB/s) — Calculation**:
Two sources of network overhead:
**(A) OTLP span export to Collector:**
| Sampling Rate | Effective Spans/sec | Avg Span Size (compressed) | Bandwidth |
| -------------------------- | ------------------- | -------------------------- | ------------ |
| 100% (dev only) | ~500 | ~500 bytes | ~250 KB/s |
| **10% (recommended prod)** | **~50** | **~500 bytes** | **~25 KB/s** |
| 1% (minimal) | ~5 | ~500 bytes | ~2.5 KB/s |
> The ~500 spans/sec at 100% comes from: ~100 TX spans + ~160 P2P context spans + ~23 consensus spans/round + ~50 RPC spans = ~500/sec. OTLP protobuf with gzip compression yields ~500 bytes/span average.
**(B) P2P trace context overhead** (added to existing messages, always-on regardless of sampling):
| Message Type | Rate | Context Size | Bandwidth |
| ------------- | -------- | ------------ | ------------- |
| TMTransaction | ~100/sec | 29 bytes | ~2.9 KB/s |
| TMValidation | ~50/sec | 29 bytes | ~1.5 KB/s |
| TMProposeSet | ~10/sec | 29 bytes | ~0.3 KB/s |
| **Total P2P** | | | **~4.7 KB/s** |
> **Combined**: 25 KB/s (OTLP export at 10%) + 5 KB/s (P2P context) ≈ **~30 KB/s typical**. The 10-50 KB/s range covers 10-20% sampling under normal to peak mainnet load.
**Latency (<2%) — Calculation**:
| Path | Tracing Cost | Baseline | Overhead |
| ------------------------------ | ------------ | -------- | -------- |
| Fast RPC (e.g., `server_info`) | 2.75 μs | ~1 ms | 0.275% |
| Slow RPC (e.g., `path_find`) | 2.75 μs | ~100 ms | 0.003% |
| Transaction processing | 4.0 μs | ~200 μs | 2.0% |
| Consensus round | 36 μs | ~3 sec | 0.001% |
> At p99, even the worst case (TX processing at 2.0%) is within the 1-3% range. RPC and consensus overhead are negligible. On production hardware, TX overhead drops to ~1.3%.
### Per-Message Overhead (Context Propagation)
Each P2P message carries trace context with the following overhead:
| Field | Size | Description |
| ------------- | ------------- | ----------------------------------------- |
| `trace_id` | 16 bytes | Unique identifier for the entire trace |
| `span_id` | 8 bytes | Current span (becomes parent on receiver) |
| `trace_flags` | 1 byte | Sampling decision flags |
| `trace_state` | 0-4 bytes | Optional vendor-specific data |
| **Total** | **~29 bytes** | **Added per traced P2P message** |
```mermaid
flowchart LR
subgraph msg["P2P Message with Trace Context"]
A["Original Message<br/>(variable size)"] --> B["+ TraceContext<br/>(~29 bytes)"]
end
subgraph breakdown["Context Breakdown"]
C["trace_id<br/>16 bytes"]
D["span_id<br/>8 bytes"]
E["flags<br/>1 byte"]
F["state<br/>0-4 bytes"]
end
B --> breakdown
style A fill:#424242,stroke:#212121,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#1565c0,stroke:#0d47a1,color:#fff
style D fill:#1565c0,stroke:#0d47a1,color:#fff
style E fill:#e65100,stroke:#bf360c,color:#fff
style F fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Original Message (gray, left)**: The existing P2P message payload of variable size this is unchanged; trace context is appended, never modifying the original data.
- **+ TraceContext (green, right of message)**: The additional 29-byte context block attached to each traced message; the arrow from the original message shows it is a pure addition.
- **Context Breakdown (right subgraph)**: The four fields `trace_id` (16 bytes), `span_id` (8 bytes), `flags` (1 byte), and `state` (0-4 bytes) show exactly what is added and their individual sizes.
- **Color coding**: Blue fields (`trace_id`, `span_id`) are the core identifiers required for trace correlation; orange (`flags`) controls sampling decisions; purple (`state`) is optional vendor data typically omitted.
> **Note**: 29 bytes represents ~1-6% overhead depending on message size (500B simple TX to 5KB proposal), which is acceptable for the observability benefits provided.
### Mitigation Strategies
```mermaid
flowchart LR
A["Head Sampling<br/>10% default"] --> B["Tail Sampling<br/>Keep errors/slow"] --> C["Batch Export<br/>Reduce I/O"] --> D["Conditional Compile<br/>XRPL_ENABLE_TELEMETRY"]
style A fill:#1565c0,stroke:#0d47a1,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
style D fill:#4a148c,stroke:#2e0d57,color:#fff
```
> For a detailed explanation of head vs. tail sampling, see Slide 9.
### Kill Switches (Rollback Options)
1. **Config Disable**: Set `enabled=0` in config instant disable, no restart needed for sampling
2. **Rebuild**: Compile with `XRPL_ENABLE_TELEMETRY=OFF` zero overhead (no-op)
3. **Full Revert**: Clean separation allows easy commit reversion
---
## Slide 9: Sampling Strategies — Head vs. Tail
> Sampling controls **which traces are recorded and exported**. Without sampling, every operation generates a trace — at 500+ spans/sec, this overwhelms storage and network. Sampling lets you keep the signal, discard the noise.
### Head Sampling (Decision at Start)
The sampling decision is made **when a trace begins**, before any work is done. A random number is generated; if it falls within the configured ratio, the entire trace is recorded. Otherwise, the trace is silently dropped.
```mermaid
flowchart LR
A["New Request<br/>Arrives"] --> B{"Random < 10%?"}
B -->|"Yes (1 in 10)"| C["Record Entire Trace<br/>(all spans)"]
B -->|"No (9 in 10)"| D["Drop Entire Trace<br/>(zero overhead)"]
style C fill:#2e7d32,stroke:#1b5e20,color:#fff
style D fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
```
| Aspect | Details |
| ----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Where it runs** | Inside xrpld (SDK-level). Configured via `sampling_ratio` in `xrpld.cfg`. |
| **When the decision happens** | At trace creation time before the first span is even populated. |
| **How it works** | `sampling_ratio=0.1` means each trace has a 10% probability of being recorded. Dropped traces incur near-zero overhead (no spans created, no attributes set, no export). |
| **Propagation** | Once a trace is sampled, the `trace_flags` field (1 byte in the context header) tells downstream nodes to also sample it. Unsampled traces propagate `trace_flags=0`, so downstream nodes skip them too. |
| **Pros** | Lowest overhead. Simple to configure. Predictable resource usage. |
| **Cons** | **Blind** it doesn't know if the trace will be interesting. A rare error or slow consensus round has only a 10% chance of being captured. |
| **Best for** | High-volume, steady-state traffic where most traces look similar (e.g., routine RPC requests). |
**xrpld configuration**:
```ini
[telemetry]
# Record 10% of traces (recommended for production)
sampling_ratio=0.1
```
### Tail Sampling (Decision at End)
The sampling decision is made **after the trace completes**, based on its actual content was it slow? Did it error? Was it a consensus round? This requires buffering complete traces before deciding.
```mermaid
flowchart TB
A["All Traces<br/>Buffered (100%)"] --> B["OTel Collector<br/>Evaluates Rules"]
B --> C{"Error?"}
C -->|Yes| K["KEEP"]
C -->|No| D{"Slow?<br/>(>5s consensus,<br/>>1s RPC)"}
D -->|Yes| K
D -->|No| E{"Random < 10%?"}
E -->|Yes| K
E -->|No| F["DROP"]
style K fill:#2e7d32,stroke:#1b5e20,color:#fff
style F fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
style D fill:#e65100,stroke:#bf360c,color:#fff
style E fill:#4a148c,stroke:#2e0d57,color:#fff
```
| Aspect | Details |
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Where it runs** | In the **OTel Collector** (external process), not inside xrpld. xrpld exports 100% of traces; the Collector decides what to keep. |
| **When the decision happens** | After the Collector has received all spans for a trace (waits `decision_wait=10s` for stragglers). |
| **How it works** | Policy rules evaluate the completed trace: keep all errors, keep slow operations above a threshold, keep all consensus rounds, then probabilistically sample the rest at 10%. |
| **Pros** | **Never misses important traces**. Errors, slow requests, and consensus anomalies are always captured regardless of probability. |
| **Cons** | Higher resource usage xrpld must export 100% of spans to the Collector, which buffers them in memory before deciding. The Collector needs more RAM (configured via `num_traces` and `decision_wait`). |
| **Best for** | Production troubleshooting where you can't afford to miss errors or anomalies. |
**Collector configuration** (tail sampling rules for xrpld):
```yaml
processors:
tail_sampling:
decision_wait: 10s # Wait for all spans in a trace
num_traces: 100000 # Buffer up to 100K concurrent traces
policies:
- name: errors # Always keep error traces
type: status_code
status_code: { status_codes: [ERROR] }
- name: slow-consensus # Keep consensus rounds >5s
type: latency
latency: { threshold_ms: 5000 }
- name: slow-rpc # Keep slow RPC requests >1s
type: latency
latency: { threshold_ms: 1000 }
- name: probabilistic # Sample 10% of everything else
type: probabilistic
probabilistic: { sampling_percentage: 10 }
```
### Head vs. Tail — Side-by-Side
| | Head Sampling | Tail Sampling |
| ----------------------------- | ---------------------------------------- | ------------------------------------------------ |
| **Decision point** | Trace start (inside xrpld) | Trace end (in OTel Collector) |
| **Knows trace content?** | No (random coin flip) | Yes (evaluates completed trace) |
| **Overhead on xrpld** | Lowest (dropped traces = no-op) | Higher (must export 100% to Collector) |
| **Collector resource usage** | Low (receives only sampled traces) | Higher (buffers all traces before deciding) |
| **Captures all errors?** | No (only if trace was randomly selected) | **Yes** (error policy catches them) |
| **Captures slow operations?** | No (random) | **Yes** (latency policy catches them) |
| **Configuration** | `xrpld.cfg`: `sampling_ratio=0.1` | `otel-collector.yaml`: `tail_sampling` processor |
| **Best for** | High-throughput steady-state | Troubleshooting & anomaly detection |
### Recommended Strategy for xrpld
Use **both** in a layered approach:
```mermaid
flowchart LR
subgraph xrpld["xrpld (Head Sampling)"]
HS["sampling_ratio=1.0<br/>(export everything)"]
end
subgraph collector["OTel Collector (Tail Sampling)"]
TS["Keep: errors + slow + 10% random<br/>Drop: routine traces"]
end
subgraph storage["Backend Storage"]
ST["Only interesting traces<br/>stored long-term"]
end
xrpld -->|"100% of spans"| collector -->|"~15-20% kept"| storage
style xrpld fill:#424242,stroke:#212121,color:#fff
style collector fill:#1565c0,stroke:#0d47a1,color:#fff
style storage fill:#2e7d32,stroke:#1b5e20,color:#fff
```
> **Why this works**: xrpld exports everything (no blind drops), the Collector applies intelligent filtering (keep errors/slow/anomalies, sample the rest), and only ~15-20% of traces reach storage. If Collector resource usage becomes a concern, add head sampling at `sampling_ratio=0.5` to halve the export volume while still giving the Collector enough data for good tail-sampling decisions.
---
## Slide 10: Data Collection & Privacy
### What Data is Collected
| Category | Attributes Collected | Purpose |
| --------------- | -------------------------------------------------------------------------------------------------------------------- | --------------------------- |
| **Transaction** | `tx_hash`, `tx_type`, `tx_result`, `tx_fee`, `ledger_index` | Trace transaction lifecycle |
| **Consensus** | `consensus_round`, `consensus_phase`, `consensus_mode`, `proposers` (count of proposing validators), `round_time_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `rpc_status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer_id`(public key), `peer_latency_ms`, `message_type`, `message_size_bytes` | Network topology analysis |
| **Ledger** | `ledger_hash`, `ledger_index`, `close_time`, `ledger_tx_count` | Ledger progression tracking |
| **Job** | `job_type`, `job_queue_ms`, `job_worker` | JobQueue performance |
### What is NOT Collected (Privacy Guarantees)
```mermaid
flowchart LR
subgraph notCollected["❌ NOT Collected"]
direction LR
A["Private Keys"] ~~~ B["Account Balances"] ~~~ C["Transaction Amounts"]
end
subgraph alsoNot["❌ Also Excluded"]
direction LR
D["IP Addresses<br/>(configurable)"] ~~~ E["Personal Data"] ~~~ F["Raw TX Payloads"]
end
style A fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#c62828,stroke:#8c2809,color:#fff
style C fill:#c62828,stroke:#8c2809,color:#fff
style D fill:#c62828,stroke:#8c2809,color:#fff
style E fill:#c62828,stroke:#8c2809,color:#fff
style F fill:#c62828,stroke:#8c2809,color:#fff
```
**Reading the diagram:**
- **NOT Collected (top row, red)**: Private Keys, Account Balances, and Transaction Amounts are explicitly excluded these are financial/security-sensitive fields that telemetry never touches.
- **Also Excluded (bottom row, red)**: IP Addresses (configurable per deployment), Personal Data, and Raw TX Payloads are also excluded these protect operator and user privacy.
- **All-red styling**: Every box is styled in red to visually reinforce that these are hard exclusions, not optional the telemetry system has no code path to collect any of these fields.
- **Two-row layout**: The split between "NOT Collected" and "Also Excluded" distinguishes between financial data (top) and operational/personal data (bottom), making the privacy boundaries clear to auditors.
### Privacy Protection Mechanisms
| Mechanism | Description |
| -------------------------- | --------------------------------------------------------- |
| **Account Hashing** | `tx_account` is hashed at collector level before storage |
| **Configurable Redaction** | Sensitive fields can be excluded via config |
| **Sampling** | Only 10% of traces recorded by default (reduces exposure) |
| **Local Control** | Node operators control what gets exported |
| **No Raw Payloads** | Transaction content is never recorded, only metadata |
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts).
---
_End of Presentation_

View File

@@ -1,239 +0,0 @@
# Securing OpenTelemetry Against Trace Context Spoofing
> **Part of**: [OpenTelemetry Implementation Plan](./OpenTelemetryPlan.md) — see also [Design Decisions § Privacy](./02-design-decisions.md#244-privacy--sensitive-data-policy) (what we don't collect) and [Configuration Reference § 5.5](./05-configuration-reference.md#55-opentelemetry-collector-configuration) (collector base config).
Trace context spoofing (or poisoning) occurs when untrusted actors inject tampered or stale trace IDs into your system. If these requests are processed, the spans are appended to historical trace buckets, stretching trace durations, ruining p99 latency metrics, and breaking Grafana dashboards.
This guide outlines two categories of defense: mitigating tampered contexts and locking down the OpenTelemetry (OTel) Collector to trusted clients only.
---
## Part 1: Mitigating Tampered Trace Contexts
### 1. Perimeter Defense: Strip Headers at the API Gateway
The most effective way to prevent spoofing from external sources is to treat your API Gateway (Envoy, NGINX, AWS ALB) as a hard boundary. Strip incoming W3C tracing headers (`traceparent`, `tracestate`) from public traffic so the gateway is forced to generate a fresh, legitimate `trace_id`.
**NGINX Example (Stripping Headers):**
```nginx
server {
listen 80;
location {
# Clear out untrusted incoming trace headers
proxy_set_header traceparent "";
proxy_set_header tracestate "";
proxy_pass http://backend_service;
}
}
```
### **2. Timestamp-Anchored Trace IDs and OTTL Filtering**
If you use a custom trace ID generator that embeds a timestamp in the first few bytes (like AWS X-Ray or UUIDv7), you can use the OTel Collector's OpenTelemetry Transform Language (OTTL) to detect anomalies.
**Collector Configuration (Conceptual OTTL Filter):**
```yaml
processors:
filter/stale_traces:
error_mode: ignore
traces:
span:
# Example: Drop spans where the start time is significantly different
# from an expected parameter or embedded timestamp logic.
# Note: Standard W3C trace IDs do not contain timestamps by default.
- 'Keep out-of-bounds spans: time.sub(start_time, now()) > duration("1h")'
```
## **Part 2: Restricting Access to the OTel Collector**
Locking down the Collector ensures that only authenticated, trusted clients can submit telemetry data.
### **Approach A: Network Layer Security (Kubernetes Network Policies)**
Ensure your Collector is not exposed to the public internet. If running in Kubernetes, use a NetworkPolicy to restrict ingress traffic to specific namespaces.
**Kubernetes NetworkPolicy Example:**
```yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-internal-otel
namespace: observability
spec:
podSelector:
matchLabels:
app: opentelemetry-collector
policyTypes:
- Ingress
ingress:
- from:
- namespaceSelector:
matchLabels:
environment: production
ports:
- protocol: TCP
port: 4317 # gRPC
- protocol: TCP
port: 4318 # HTTP
```
### **Approach B: Transport Layer Security (Mutual TLS / mTLS)**
Require clients to present a valid cryptographic certificate to connect to the Collector.
**Collector Configuration (mTLS):**
```yaml
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
tls:
client_ca_file: /certs/client_ca.pem # CA that signs trusted client certs
cert_file: /certs/collector.pem
key_file: /certs/collector.key
auth_type: require_and_verify_client_cert # Rejects unauthorized clients
```
### **Approach C: Application Layer Authentication (Basic Auth Extension)**
Use the Collector's extension system to require an API key or Basic Auth credentials.
**Collector Configuration (Basic Auth):**
```yaml
extensions:
basicauth/collector:
htpasswd:
inline: |
# username:trusted-client, password:SecurePassword123
trusted-client:$apr1$4v8p76o6$DMTX5Wv6uOmrFAZp2X1N1.
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
auth:
authenticator: basicauth/collector
processors:
batch:
exporters:
otlp:
endpoint: my-backend-storage:4317
service:
extensions: [basicauth/collector]
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [otlp]
```
**Client Setup (Environment Variables):**
Developers must pass the authentication header using the standard OTel SDK environment variables:
```bash
# Base64 encoded "trusted-client:SecurePassword123"
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Basic dHJ1c3RlZC1jbGllbnQ6U2VjdXJlUGFzc3dvcmQxMjM="
```
---
Available routes to build on top of: https://github.com/XRPLF/rippled/pull/6425#discussion_r3234751995
---
# Analysis: Applying the Guide to xrpld
The guide above is written for HTTP-fronted web services. xrpld is a P2P node daemon, so the threat model and the applicable defenses differ. This section captures how each approach maps to xrpld and the chosen direction.
## Threat Model
xrpld has **two distinct attack surfaces**, not one. The original guide conflates them under "trace context spoofing"; for xrpld they need separate defenses.
| Surface | Attacker | Vector | Defense |
| ----------------------------------------- | -------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------- |
| **Collector ingress** (xrpld → collector) | Anyone who can reach `4317`/`4318` on the collector host | Forged OTLP traffic, telemetry exfiltration, DoS on collector | mTLS + network policy |
| **Peer trace context** (peer → xrpld) | Malicious peer in the XRPL overlay | Crafted `protocol::TraceContext` field inside peer protobuf messages (TMTransaction, consensus, etc.) — used to forge `trace_id`/`span_id`, pollute p99, attach spans to historical traces | Validate + rate-limit at the receive boundary |
**Deployment context:** Across-network. xrpld nodes (potentially run by external operators or in different DCs) ship telemetry to a centrally-hosted collector across an untrusted network. The collector is NOT on the same host or private VPC as every node.
```
┌── peer (untrusted) ── TMTransaction{trace_context} ──▶ xrpld
│ │
│ [validate + rate-limit]
│ │
│ ▼
│ SpanGuard (clean)
│ │
│ │ OTLP/gRPC
│ │ + mTLS
│ ▼
└───────────────────────────────────────── [require_and_verify_client_cert]
OTel Collector
(in private subnet, NetPol)
```
## Part 1 Applicability — Peer Trace-Context Validation
The guide's NGINX header stripping and OTTL stale-span filtering target HTTP gateways and post-hoc cleanup. Neither fits xrpld directly:
- **NGINX header stripping** — N/A. There is no HTTP gateway between peers and xrpld; trace context arrives inside protobuf peer messages (`protocol::TraceContext`), not as W3C `traceparent` headers. See [src/xrpld/telemetry/PropagationHelpers.h](../src/xrpld/telemetry/PropagationHelpers.h).
- **OTTL stale-span filtering** — Weak fit. Post-hoc cleanup at the collector loses peer identity (you can't tell _which_ peer poisoned the trace). Validation at the receive site is stronger.
**xrpld-specific Part 1 mitigations:**
1. **Validate extracted context at the boundary** in [src/xrpld/telemetry/ConsensusReceiveTracing.h](../src/xrpld/telemetry/ConsensusReceiveTracing.h) and any other peer-message receive site. Reject if `trace_id` is all-zero, wrong length, or fails W3C format checks. Treat invalid context as "no propagated context" — start a fresh span — rather than dropping the message.
2. **Per-peer sample rate limiting** so a hostile peer cannot flood the collector with spans bearing a fabricated `trace_id`. Use probabilistic sampling on the receive path keyed by peer identity.
## Part 2 — Comparison of Collector Hardening Approaches
Evaluated for the across-network deployment shape:
| Approach | Across-network fit | Cost | Verdict |
| ------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------- | ---------------------------------- |
| **A. NetworkPolicy / firewall** | Necessary baseline (don't expose `4317`/`4318` to the internet), but insufficient on its own when traffic genuinely crosses networks — you cannot NetworkPolicy the public internet. | Cheap. | **Defense-in-depth, not primary.** |
| **B. mTLS** | Strongest fit. Every xrpld node holds a client cert; collector verifies with `require_and_verify_client_cert`. Encrypts in transit (raw OTLP over the internet leaks transaction patterns and validator identity). Compromised node = revoke one cert, no shared secret to rotate everywhere. | Cert issuance + rotation pipeline. | **Primary.** |
| **C. Basic Auth** | Worst shape for this topology. Single shared password across all xrpld nodes — one leaked node config compromises the whole fleet. Doesn't encrypt; you'd need TLS underneath anyway, at which point you're 80% of the way to mTLS. | Cheap to set up, expensive to operate (rotation across N operators). | **Skip.** |
## Decision
**Primary defense:** mTLS (Approach B) on the collector's OTLP receivers, with `auth_type: require_and_verify_client_cert`.
**Defense-in-depth:** NetworkPolicy / firewall rules (Approach A) so `4317`/`4318` are never reachable from outside the expected operator subnets even if mTLS were misconfigured.
**Skipped:** Basic Auth (Approach C) — wrong shape for an across-network, multi-operator topology.
**Plus xrpld-specific Part 1 work:** trace-context validation and per-peer rate limiting at peer-message receive sites.
## Decisions Made
| Decision | Choice | Rationale |
| -------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Cert source for mTLS | **Reuse XRPL node identity key** | One identity per node, no separate PKI to operate. Fits XRPL's existing trust model; requires small CA tooling step to derive/sign the OTel client cert from the node key. |
| Part 1 scope | **Include in this spec** | Collector hardening and peer trace-context validation share one threat model. Coherent design doc; can still be split into multiple PRs at implementation. |
| Dev impact | **Production-only** | Local `docker/telemetry/docker-compose.yml` keeps `insecure: true` and no auth for fast iteration. Only production deployment manifests gain mTLS. Accepted risk: minor dev/prod drift, mitigated by integration tests against a TLS-enabled collector in CI. |
## Out of Scope
- NGINX/Envoy header stripping (no HTTP gateway in front of xrpld-to-collector traffic).
- OTTL stale-span filtering at the collector (weaker than source validation; loses peer identity).
- Local development docker-compose hardening.
- Telemetry backend (Tempo) hardening — separate concern, downstream of the collector.
## Next Step
Write this up as a design doc with full sections covering:
1. Threat model & architecture (this section, expanded)
2. Collector hardening — mTLS config, NetworkPolicy
3. Cert pipeline — deriving OTel client cert from XRPL node key
4. Peer trace-context validation — receive-site checks in `ConsensusReceiveTracing.h`
5. Per-peer span rate limiting
6. Testing & rollout

View File

@@ -8,11 +8,11 @@ The [XRP Ledger](https://xrpl.org/) is a decentralized cryptographic ledger powe
[XRP](https://xrpl.org/xrp.html) is a public, counterparty-free crypto-asset native to the XRP Ledger, and is designed as a gas token for network services and to bridge different currencies. XRP is traded on the open-market and is available for anyone to access. The XRP Ledger was created in 2012 with a finite supply of 100 billion units of XRP.
## xrpld
## rippled
The server software that powers the XRP Ledger is called `xrpld` and is available in this repository under the permissive [ISC open-source license](LICENSE.md). The `xrpld` server software is written primarily in C++ and runs on a variety of platforms. The `xrpld` server software can run in several modes depending on its [configuration](https://xrpl.org/rippled-server-modes.html).
The server software that powers the XRP Ledger is called `rippled` and is available in this repository under the permissive [ISC open-source license](LICENSE.md). The `rippled` server software is written primarily in C++ and runs on a variety of platforms. The `rippled` server software can run in several modes depending on its [configuration](https://xrpl.org/rippled-server-modes.html).
If you are interested in running an **API Server** (including a **Full History Server**), take a look at [Clio](https://github.com/XRPLF/clio). (xrpld Reporting Mode has been replaced by Clio.)
If you are interested in running an **API Server** (including a **Full History Server**), take a look at [Clio](https://github.com/XRPLF/clio). (rippled Reporting Mode has been replaced by Clio.)
### Build from Source
@@ -41,19 +41,19 @@ If you are interested in running an **API Server** (including a **Full History S
Here are some good places to start learning the source code:
- Read the markdown files in the source tree: `src/xrpld/**/*.md`.
- Read the markdown files in the source tree: `src/ripple/**/*.md`.
- Read [the levelization document](.github/scripts/levelization) to get an idea of the internal dependency graph.
- In the big picture, the `main` function constructs an `ApplicationImp` object, which implements the `Application` virtual interface. Almost every component in the application takes an `Application&` parameter in its constructor, typically named `app` and stored as a member variable `app_`. This allows most components to depend on any other component.
### Repository Contents
| Folder | Contents |
| :--------- | :--------------------------------------------- |
| `./bin` | Scripts and data files for XRPL developers. |
| `./Builds` | Platform-specific guides for building `xrpld`. |
| `./docs` | Source documentation files and doxygen config. |
| `./cfg` | Example configuration files. |
| `./src` | Source code. |
| Folder | Contents |
| :--------- | :----------------------------------------------- |
| `./bin` | Scripts and data files for Ripple integrators. |
| `./Builds` | Platform-specific guides for building `rippled`. |
| `./docs` | Source documentation files and doxygen config. |
| `./cfg` | Example configuration files. |
| `./src` | Source code. |
Some of the directories under `src` are external repositories included using
git-subtree. See those directories' README files for more details.

View File

@@ -6,7 +6,7 @@ For more details on operating an XRP Ledger server securely, please visit https:
## Supported Versions
Software constantly evolves. In order to focus resources, we generally only accept vulnerability reports that affect recent and current versions of the software. We always accept reports for issues present in the **master**, **release** or **develop** branches, and with proposed, [open pull requests](https://github.com/XRPLF/rippled/pulls).
Software constantly evolves. In order to focus resources, we only generally only accept vulnerability reports that affect recent and current versions of the software. We always accept reports for issues present in the **master**, **release** or **develop** branches, and with proposed, [open pull requests](https://github.com/ripple/rippled/pulls).
## Identifying and Reporting Vulnerabilities
@@ -22,10 +22,117 @@ Responsible investigation includes, but isn't limited to, the following:
- Not targeting physical security measures, or attempting to use social engineering, spam, distributed denial of service (DDOS) attacks, etc.
- Investigating bugs in a way that makes a reasonable, good faith effort not to be disruptive or harmful to the XRP Ledger and the broader ecosystem.
### Responsible Disclosure
If you discover a vulnerability or potential threat, or if you _think_
you have, please reach out by dropping an email using the contact
information below.
Your report should include the following:
- Your contact information (typically, an email address);
- The description of the vulnerability;
- The attack scenario (if any);
- The steps to reproduce the vulnerability;
- Any other relevant details or artifacts, including code, scripts or patches.
In your email, please describe the issue or potential threat. If possible, include a "repro" (code that can reproduce the issue) or describe the best way to reproduce and replicate the issue. Please make your report as detailed and comprehensive as possible.
For more information on responsible disclosure, please read this [Wikipedia article](https://en.wikipedia.org/wiki/Responsible_disclosure).
## Report Handling Process
Please report the bug directly to us and limit further disclosure. If you want to prove that you knew the bug as of a given time, consider using a cryptographic pre-commitment: hash the content of your report and publish the hash on a medium of your choice (e.g. on Twitter or as a memo in a transaction) as "proof" that you had written the text at a given point in time.
Once we receive a report, we:
1. Assign two people to independently evaluate the report;
2. Consider their recommendations;
3. If action is necessary, formulate a plan to address the issue;
4. Communicate privately with the reporter to explain our plan.
5. Prepare, test and release a version which fixes the issue; and
6. Announce the vulnerability publicly.
We will triage and respond to your disclosure within 24 hours. Beyond that, we will work to analyze the issue in more detail, formulate, develop and test a fix.
While we commit to responding with 24 hours of your initial report with our triage assessment, we cannot guarantee a response time for the remaining steps. We will communicate with you throughout this process, letting you know where we are and keeping you updated on the timeframe.
## Bug Bounty Program
[Ripple](https://ripple.com) is generously sponsoring a bug bounty program for vulnerabilities in [`xrpld`](https://github.com/XRPLF/rippled) (and other related projects, like [`Clio`](https://github.com/XRPLF/clio), [`xrpl.js`](https://github.com/XRPLF/xrpl.js), [`xrpl-py`](https://github.com/XRPLF/xrpl-py), [`xrpl4j`](https://github.com/XRPLF/xrpl4j)).
[Ripple](https://ripple.com) is generously sponsoring a bug bounty program for vulnerabilities in [`rippled`](https://github.com/XRPLF/rippled) (and other related projects, like [`xrpl.js`](https://github.com/XRPLF/xrpl.js), [`xrpl-py`](https://github.com/XRPLF/xrpl-py), [`xrpl4j`](https://github.com/XRPLF/xrpl4j)).
This program allows us to recognize and reward individuals or groups that identify and report bugs.
This program allows us to recognize and reward individuals or groups that identify and report bugs. In summary, in order to qualify for a bounty, the bug must be:
We have partnered with Bugcrowd to manage this program. It is a private program, and security researchers can participate based on invitation. If you need access to the program, please email bugs@ripple.com with your Bugcrowd handle or Bugcrowd registered email, and we will get you added to the program. Once you have been added, please submit vulnerability reports through Bugcrowd, not by email. The detailed bug bounty policy is available on the Bugcrowd website.
1. **In scope**. Only bugs in software under the scope of the program qualify. Currently, that means `rippled`, `xrpl.js`, `xrpl-py`, `xrpl4j`.
2. **Relevant**. A security issue, posing a danger to user funds, privacy, or the operation of the XRP Ledger.
3. **Original and previously unknown**. Bugs that are already known and discussed in public do not qualify. Previously reported bugs, even if publicly unknown, are not eligible.
4. **Specific**. We welcome general security advice or recommendations, but we cannot pay bounties for that.
5. **Fixable**. There has to be something we can do to permanently fix the problem. Note that bugs in other peoples software may still qualify in some cases. For example, if you find a bug in a library that we use which can compromise the security of software that is in scope and we can get it fixed, you may qualify for a bounty.
6. **Unused**. If you use the exploit to attack the XRP Ledger, you do not qualify for a bounty. If you report a vulnerability used in an ongoing or past attack and there is specific, concrete evidence that suggests you are the attacker we reserve the right not to pay a bounty.
The amount paid varies dramatically. Vulnerabilities that are harmless on their own, but could form part of a critical exploit will usually receive a bounty. Full-blown exploits can receive much higher bounties. Please dont hold back partial vulnerabilities while trying to construct a full-blown exploit. We will pay a bounty to anyone who reports a complete chain of vulnerabilities even if they have reported each component of the exploit separately and those vulnerabilities have been fixed in the meantime. However, to qualify for a the full bounty, you must to have been the first to report each of the partial exploits.
### Contacting Us
To report a qualifying bug, please send a detailed report to:
| Email Address | bugs@ripple.com |
| :-----------: | :-------------------------------------------------- |
| Short Key ID | `0xA9F514E0` |
| Long Key ID | `0xD900855AA9F514E0` |
| Fingerprint | `B72C 0654 2F2A E250 2763 A268 D900 855A A9F5 14E0` |
The full PGP key for this address, which is also available on several key servers (e.g. on [keyserver.ubuntu.com](https://keyserver.ubuntu.com)), is:
```
-----BEGIN PGP PUBLIC KEY BLOCK-----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=nGuD
-----END PGP PUBLIC KEY BLOCK-----
```

View File

@@ -1,71 +1,83 @@
#!/bin/bash
if [[ $# -ne 1 || "$1" == "--help" || "$1" == "-h" ]]; then
name=$(basename $0)
cat <<-USAGE
Usage: $name <username>
if [[ $# -ne 1 || "$1" == "--help" || "$1" == "-h" ]]
then
name=$( basename $0 )
cat <<- USAGE
Usage: $name <username>
Where <username> is the Github username of the upstream repo. e.g. XRPLF
Where <username> is the Github username of the upstream repo. e.g. XRPLF
USAGE
exit 0
exit 0
fi
# Create upstream remotes based on origin
shift
user="$1"
# Get the origin URL. Expect it be an SSH-style URL
origin=$(git remote get-url origin)
if [[ "${origin}" == "" ]]; then
echo Invalid origin remote >&2
exit 1
origin=$( git remote get-url origin )
if [[ "${origin}" == "" ]]
then
echo Invalid origin remote >&2
exit 1
fi
# echo "Origin: ${origin}"
# Parse the origin
ifs_orig="${IFS}"
IFS=':' read remote originpath <<<"${origin}"
IFS=':' read remote originpath <<< "${origin}"
# echo "Remote: ${remote}, Originpath: ${originpath}"
IFS='@' read sshuser server <<<"${remote}"
IFS='@' read sshuser server <<< "${remote}"
# echo "SSHUser: ${sshuser}, Server: ${server}"
IFS='/' read originuser repo <<<"${originpath}"
IFS='/' read originuser repo <<< "${originpath}"
# echo "Originuser: ${originuser}, Repo: ${repo}"
if [[ "${sshuser}" == "" || "${server}" == "" || "${originuser}" == "" || "${repo}" == "" ]]; then
echo "Can't parse origin URL: ${origin}" >&2
exit 1
if [[ "${sshuser}" == "" || "${server}" == "" || "${originuser}" == ""
|| "${repo}" == "" ]]
then
echo "Can't parse origin URL: ${origin}" >&2
exit 1
fi
upstream="https://${server}/${user}/${repo}"
upstreampush="${remote}:${user}/${repo}"
upstreamgroup="upstream upstream-push"
current=$(git remote get-url upstream 2>/dev/null)
currentpush=$(git remote get-url upstream-push 2>/dev/null)
currentgroup=$(git config remotes.upstreams)
if [[ "${current}" == "${upstream}" ]]; then
echo "Upstream already set up correctly. Skip"
elif [[ -n "${current}" && "${current}" != "${upstream}" && "${current}" != "${upstreampush}" ]]; then
echo "Upstream already set up as: ${current}. Skip"
current=$( git remote get-url upstream 2>/dev/null )
currentpush=$( git remote get-url upstream-push 2>/dev/null )
currentgroup=$( git config remotes.upstreams )
if [[ "${current}" == "${upstream}" ]]
then
echo "Upstream already set up correctly. Skip"
elif [[ -n "${current}" && "${current}" != "${upstream}" &&
"${current}" != "${upstreampush}" ]]
then
echo "Upstream already set up as: ${current}. Skip"
else
if [[ "${current}" == "${upstreampush}" ]]; then
echo "Upstream set to dangerous push URL. Update."
_run git remote rename upstream upstream-push ||
_run git remote remove upstream
currentpush=$(git remote get-url upstream-push 2>/dev/null)
fi
_run git remote add upstream "${upstream}"
if [[ "${current}" == "${upstreampush}" ]]
then
echo "Upstream set to dangerous push URL. Update."
_run git remote rename upstream upstream-push || \
_run git remote remove upstream
currentpush=$( git remote get-url upstream-push 2>/dev/null )
fi
_run git remote add upstream "${upstream}"
fi
if [[ "${currentpush}" == "${upstreampush}" ]]; then
echo "upstream-push already set up correctly. Skip"
elif [[ -n "${currentpush}" && "${currentpush}" != "${upstreampush}" ]]; then
echo "upstream-push already set up as: ${currentpush}. Skip"
if [[ "${currentpush}" == "${upstreampush}" ]]
then
echo "upstream-push already set up correctly. Skip"
elif [[ -n "${currentpush}" && "${currentpush}" != "${upstreampush}" ]]
then
echo "upstream-push already set up as: ${currentpush}. Skip"
else
_run git remote add upstream-push "${upstreampush}"
_run git remote add upstream-push "${upstreampush}"
fi
if [[ "${currentgroup}" == "${upstreamgroup}" ]]; then
echo "Upstreams group already set up correctly. Skip"
elif [[ -n "${currentgroup}" && "${currentgroup}" != "${upstreamgroup}" ]]; then
echo "Upstreams group already set up as: ${currentgroup}. Skip"
if [[ "${currentgroup}" == "${upstreamgroup}" ]]
then
echo "Upstreams group already set up correctly. Skip"
elif [[ -n "${currentgroup}" && "${currentgroup}" != "${upstreamgroup}" ]]
then
echo "Upstreams group already set up as: ${currentgroup}. Skip"
else
_run git config --add remotes.upstreams "${upstreamgroup}"
_run git config --add remotes.upstreams "${upstreamgroup}"
fi
_run git fetch --jobs=$(nproc) upstreams

View File

@@ -1,56 +1,61 @@
#!/bin/bash
if [[ $# -lt 3 || "$1" == "--help" || "$1" = "-h" ]]; then
name=$(basename $0)
cat <<-USAGE
Usage: $name workbranch base/branch user/branch [user/branch [...]]
if [[ $# -lt 3 || "$1" == "--help" || "$1" = "-h" ]]
then
name=$( basename $0 )
cat <<- USAGE
Usage: $name workbranch base/branch user/branch [user/branch [...]]
* workbranch will be created locally from base/branch
* base/branch and user/branch may be specified as user:branch to allow
easy copying from Github PRs
* Remotes for each user must already be set up
* workbranch will be created locally from base/branch
* base/branch and user/branch may be specified as user:branch to allow
easy copying from Github PRs
* Remotes for each user must already be set up
USAGE
exit 0
exit 0
fi
work="$1"
shift
branches=($(echo "${@}" | sed "s/:/\//"))
branches=( $( echo "${@}" | sed "s/:/\//" ) )
base="${branches[0]}"
unset branches[0]
set -e
users=()
for b in "${branches[@]}"; do
users+=($(echo $b | cut -d/ -f1))
for b in "${branches[@]}"
do
users+=( $( echo $b | cut -d/ -f1 ) )
done
users=($(printf '%s\n' "${users[@]}" | sort -u))
users=( $( printf '%s\n' "${users[@]}" | sort -u ) )
git fetch --multiple upstreams "${users[@]}"
git checkout -B "$work" --no-track "$base"
for b in "${branches[@]}"; do
git merge --squash "${b}"
git commit -S # Use the commit message provided on the PR
for b in "${branches[@]}"
do
git merge --squash "${b}"
git commit -S # Use the commit message provided on the PR
done
# Make sure the commits look right
git log --show-signature "$base..HEAD"
parts=($(echo $base | sed "s/\// /"))
parts=( $( echo $base | sed "s/\// /" ) )
repo="${parts[0]}"
b="${parts[1]}"
push=$repo
if [[ "$push" == "upstream" ]]; then
push="upstream-push"
if [[ "$push" == "upstream" ]]
then
push="upstream-push"
fi
if [[ "$repo" == "upstream" ]]; then
repo="upstreams"
if [[ "$repo" == "upstream" ]]
then
repo="upstreams"
fi
cat <<PUSH
cat << PUSH
-------------------------------------------------------------------
This script will not push. Verify everything is correct, then push

View File

@@ -1,22 +1,23 @@
#!/bin/bash
if [[ $# -ne 3 || "$1" == "--help" || "$1" = "-h" ]]; then
name=$(basename $0)
cat <<-USAGE
Usage: $name workbranch base/branch version
if [[ $# -ne 3 || "$1" == "--help" || "$1" = "-h" ]]
then
name=$( basename $0 )
cat <<- USAGE
Usage: $name workbranch base/branch version
* workbranch will be created locally from base/branch. If it exists,
it will be reused, so make sure you don't overwrite any work.
* base/branch may be specified as user:branch to allow easy copying
from Github PRs.
* workbranch will be created locally from base/branch. If it exists,
it will be reused, so make sure you don't overwrite any work.
* base/branch may be specified as user:branch to allow easy copying
from Github PRs.
USAGE
exit 0
exit 0
fi
work="$1"
shift
base=$(echo "$1" | sed "s/:/\//")
base=$( echo "$1" | sed "s/:/\//" )
shift
version=$1
@@ -28,16 +29,17 @@ git fetch upstreams
git checkout -B "${work}" --no-track "${base}"
push=$(git rev-parse --abbrev-ref --symbolic-full-name '@{push}' \
2>/dev/null) || true
if [[ "${push}" != "" ]]; then
echo "Warning: ${push} may already exist."
push=$( git rev-parse --abbrev-ref --symbolic-full-name '@{push}' \
2>/dev/null ) || true
if [[ "${push}" != "" ]]
then
echo "Warning: ${push} may already exist."
fi
build=$(find -name BuildInfo.cpp)
sed 's/\(^.*versionString =\).*$/\1 "'${version}'"/' ${build} >version.cpp &&
diff "${build}" version.cpp && exit 1 ||
mv -vi version.cpp ${build}
build=$( find -name BuildInfo.cpp )
sed 's/\(^.*versionString =\).*$/\1 "'${version}'"/' ${build} > version.cpp && \
diff "${build}" version.cpp && exit 1 || \
mv -vi version.cpp ${build}
git diff
@@ -47,7 +49,7 @@ git commit -S -m "Set version to ${version}"
git log --oneline --first-parent ${base}^..
cat <<PUSH
cat << PUSH
-------------------------------------------------------------------
This script will not push. Verify everything is correct, then push

View File

@@ -1,212 +0,0 @@
#!/usr/bin/env python3
"""Pre-commit hook that runs clang-tidy on changed files using run-clang-tidy."""
from __future__ import annotations
import json
import os
import re
import shutil
import subprocess
import sys
from collections import defaultdict
from pathlib import Path
HEADER_EXTENSIONS = {".h", ".hpp", ".ipp"}
SOURCE_EXTENSIONS = {".cpp"}
INCLUDE_RE = re.compile(r"^\s*#\s*include\s*[<\"]([^>\"]+)[>\"]")
def find_run_clang_tidy() -> str | None:
for candidate in ("run-clang-tidy-21", "run-clang-tidy"):
if path := shutil.which(candidate):
return path
return None
def find_build_dir(repo_root: Path) -> Path | None:
for name in (".build", "build"):
candidate = repo_root / name
if (candidate / "compile_commands.json").exists():
return candidate
return None
def build_include_graph(build_dir: Path, repo_root: Path) -> tuple[dict, set]:
"""
Scan all files reachable from compile_commands.json and build an inverted include graph.
Returns:
inverted: header_path -> set of files that include it
source_files: set of all TU paths from compile_commands.json
"""
with open(build_dir / "compile_commands.json") as f:
db = json.load(f)
source_files = {Path(e["file"]).resolve() for e in db}
include_roots = [repo_root / "include", repo_root / "src"]
inverted: dict[Path, set[Path]] = defaultdict(set)
to_scan: set[Path] = set(source_files)
scanned: set[Path] = set()
while to_scan:
file = to_scan.pop()
if file in scanned or not file.exists():
continue
scanned.add(file)
content = file.read_text()
for line in content.splitlines():
m = INCLUDE_RE.match(line)
if not m:
continue
for root in include_roots:
candidate = (root / m.group(1)).resolve()
if candidate.exists():
inverted[candidate].add(file)
if candidate not in scanned:
to_scan.add(candidate)
break
return inverted, source_files
def find_tus_for_headers(
headers: list[Path],
inverted: dict[Path, set[Path]],
source_files: set[Path],
) -> set[Path]:
"""
For each header, pick one TU that transitively includes it.
Prefers a TU whose stem matches the header's stem, otherwise picks the first found.
"""
result: set[Path] = set()
for header in headers:
preferred: Path | None = None
visited: set[Path] = {header}
stack: list[Path] = [header]
while stack:
h = stack.pop()
for inc in inverted.get(h, ()):
if inc in source_files:
if inc.stem == header.stem:
preferred = inc
break
if preferred is None:
preferred = inc
if inc not in visited:
visited.add(inc)
stack.append(inc)
if preferred is not None and preferred.stem == header.stem:
break
if preferred is not None:
result.add(preferred)
return result
def resolve_files(
input_files: list[str], build_dir: Path, repo_root: Path
) -> list[str]:
"""
Split input into source files and headers. Source files are passed through;
headers are resolved to the TUs that transitively include them.
"""
sources: list[Path] = []
headers: list[Path] = []
for f in input_files:
p = Path(f).resolve()
if p.suffix in SOURCE_EXTENSIONS:
sources.append(p)
elif p.suffix in HEADER_EXTENSIONS:
headers.append(p)
if not headers:
return [str(p) for p in sources]
print(
f"Resolving {len(headers)} header(s) to compilation units...", file=sys.stderr
)
inverted, source_files = build_include_graph(build_dir, repo_root)
tus = find_tus_for_headers(headers, inverted, source_files)
if not tus:
print(
"Warning: no compilation units found that include the modified headers; "
"skipping clang-tidy for headers.",
file=sys.stderr,
)
return sorted({str(p) for p in (*sources, *tus)})
def staged_files(repo_root: Path) -> list[str]:
result = subprocess.run(
["git", "diff", "--staged", "--name-only", "--diff-filter=d"],
capture_output=True,
text=True,
cwd=repo_root,
)
if result.returncode != 0:
print(
"clang-tidy check failed: 'git diff --staged' command failed.",
file=sys.stderr,
)
if result.stderr:
print(result.stderr, file=sys.stderr)
sys.exit(result.returncode or 1)
return [str(repo_root / p) for p in result.stdout.splitlines() if p]
def main():
if not os.environ.get("TIDY"):
return 0
repo_root = Path(
subprocess.check_output(
["git", "rev-parse", "--show-toplevel"],
cwd=Path(__file__).parent,
text=True,
).strip()
)
files = staged_files(repo_root)
if not files:
return 0
run_clang_tidy = find_run_clang_tidy()
if not run_clang_tidy:
print(
"clang-tidy check failed: TIDY is enabled but neither "
"'run-clang-tidy-21' nor 'run-clang-tidy' was found in PATH.",
file=sys.stderr,
)
return 1
build_dir = find_build_dir(repo_root)
if not build_dir:
print(
"clang-tidy check failed: no build directory with compile_commands.json found "
"(looked for .build/ and build/)",
file=sys.stderr,
)
return 1
tidy_files = resolve_files(files, build_dir, repo_root)
if not tidy_files:
return 0
result = subprocess.run(
[run_clang_tidy, "-quiet", "-p", str(build_dir), "-fix", "-allow-no-checks"]
+ tidy_files
)
return result.returncode
if __name__ == "__main__":
sys.exit(main())

View File

@@ -1,37 +0,0 @@
#!/usr/bin/env python3
"""
Converts quoted includes (#include "...") to angle-bracket includes
(#include <...>), which is the required style in this project.
Usage: ./bin/pre-commit/fix_include_style.py <file1> <file2> ...
"""
import re
import sys
from pathlib import Path
PATTERN = re.compile(r'^(\s*#include\s*)"([^"]+)"', re.MULTILINE)
def fix_includes(path: Path) -> bool:
original = path.read_text(encoding="utf-8")
fixed = PATTERN.sub(r"\1<\2>", original)
if fixed != original:
path.write_text(fixed, encoding="utf-8")
return False
return True
def main() -> int:
files = [Path(f) for f in sys.argv[1:]]
success = True
for path in files:
success &= fix_includes(path)
return 0 if success else 1
if __name__ == "__main__":
sys.exit(main())

View File

@@ -28,7 +28,7 @@
# https://vl.ripple.com
# https://unl.xrplf.org
# http://127.0.0.1:8000
# file:///etc/xrpld/vl.txt
# file:///etc/opt/ripple/vl.txt
#
# [validator_list_keys]
#
@@ -43,11 +43,11 @@
# ED307A760EE34F2D0CAA103377B1969117C38B8AA0AA1E2A24DAC1F32FC97087ED
#
# The default validator list publishers that the xrpld instance
# The default validator list publishers that the rippled instance
# trusts.
#
# WARNING: Changing these values can cause your xrpld instance to see a
# validated ledger that contradicts other xrpld instances'
# WARNING: Changing these values can cause your rippled instance to see a
# validated ledger that contradicts other rippled instances'
# validated ledgers (aka a ledger fork) if your validator list(s)
# do not sufficiently overlap with the list(s) used by others.
# See: https://arxiv.org/pdf/1802.07242.pdf

View File

@@ -9,7 +9,7 @@
#
# 2. Peer Protocol
#
# 3. XRPL protocol
# 3. Ripple Protocol
#
# 4. HTTPS Client
#
@@ -383,7 +383,7 @@
#
# These settings control security and access attributes of the Peer to Peer
# server section of the xrpld process. Peer Protocol implements the
# XRPL payment protocol. It is over peer connections that transactions
# Ripple Payment protocol. It is over peer connections that transactions
# and validations are passed from to machine to machine, to determine the
# contents of validated ledgers.
#
@@ -406,7 +406,7 @@
#
# [ips]
#
# List of hostnames or ips where the XRPL protocol is served. A default
# List of hostnames or ips where the Ripple protocol is served. A default
# starter list is included in the code and used if no other hostnames are
# available.
#
@@ -435,7 +435,7 @@
# List of IP addresses or hostnames to which xrpld should always attempt to
# maintain peer connections with. This is useful for manually forming private
# networks, for example to configure a validation server that connects to the
# XRPL network through a public-facing server, or for building a set
# Ripple network through a public-facing server, or for building a set
# of cluster peers.
#
# One address or domain names per line is allowed. A port must be specified
@@ -527,17 +527,6 @@
#
# The current default (which is subject to change) is 300 seconds.
#
# verify_endpoints = <0 | 1>
#
# If set to 0, the server will skip validation of endpoint
# addresses received in TMEndpoints peer protocol messages,
# allowing addresses that are not publicly routable or have a
# port of 0. The default is 1 (verification enabled).
#
# WARNING: Disabling this option is a security risk and should
# only be used for local testing and debugging. Do not disable
# on mainnet.
#
#
# [transaction_queue] EXPERIMENTAL
#
@@ -759,8 +748,8 @@
# the folder in which the xrpld.cfg file is located.
#
# Examples:
# /home/username/validators.txt
# C:/home/username/validators.txt
# /home/ripple/validators.txt
# C:/home/ripple/validators.txt
#
# Example content:
# [validators]
@@ -851,7 +840,7 @@
#
# 0: Disable the ledger replay feature [default]
# 1: Enable the ledger replay feature. With this feature enabled, when
# acquiring a ledger from the network, an xrpld node only downloads
# acquiring a ledger from the network, a xrpld node only downloads
# the ledger header and the transactions instead of the whole ledger.
# And the ledger is built by applying the transactions to the parent
# ledger.
@@ -864,7 +853,7 @@
#
# The xrpld server instance uses HTTPS GET requests in a variety of
# circumstances, including but not limited to contacting trusted domains to
# fetch information such as mapping an email address to an XRPL payment
# fetch information such as mapping an email address to a Ripple Payment
# Network address.
#
# [ssl_verify]
@@ -953,21 +942,6 @@
#
# Optional keys for NuDB and RocksDB:
#
# cache_size Size of cache for database records. Default is 16384.
# Setting this value to 0 will use the default value.
#
# cache_age Length of time in minutes to keep database records
# cached. Default is 5 minutes. Setting this value to
# 0 will use the default value.
#
# Note: if cache_size or cache_age is not specified,
# default values will be used for the unspecified
# parameter.
#
# Note: the cache will not be created if online_delete
# is specified, because the rotating NodeStore does
# not use this cache).
#
# fast_load Boolean. If set, load the last persisted ledger
# from disk upon process start before syncing to
# the network. This is likely to improve performance
@@ -1253,7 +1227,7 @@
#
#----------
#
# The vote settings configure settings for the entire XRPL network.
# The vote settings configure settings for the entire Ripple network.
# While a single instance of xrpld cannot unilaterally enforce network-wide
# settings, these choices become part of the instance's vote during the
# consensus process for each voting ledger.
@@ -1284,7 +1258,7 @@
# default. Don't change this without understanding the consequences.
#
# Example:
# account_reserve = 1000000 # 1 XRP
# account_reserve = 10000000 # 10 XRP
#
# owner_reserve = <drops>
#
@@ -1296,7 +1270,7 @@
# default. Don't change this without understanding the consequences.
#
# Example:
# owner_reserve = 200000 # 0.2 XRP
# owner_reserve = 2000000 # 2 XRP
#
#-------------------------------------------------------------------------------
#
@@ -1442,12 +1416,6 @@
# in this section to a comma-separated list of the addresses
# of your Clio servers, in order to bypass xrpld's rate limiting.
#
# TLS/SSL can be enabled for gRPC by specifying ssl_cert and ssl_key.
# Both parameters must be provided together. The ssl_cert_chain parameter
# is optional and provides intermediate CA certificates for the certificate
# chain. The ssl_client_ca parameter is optional and enables mutual TLS
# (client certificate verification).
#
# This port is commented out but can be enabled by removing
# the '#' from each corresponding line including the entry under [server]
#
@@ -1481,7 +1449,10 @@ admin = 127.0.0.1
protocol = http
[port_peer]
port = 2459
# Many servers still use the legacy port of 51235, so for backward-compatibility
# we maintain that port number here. However, for new servers we recommend
# changing this to the default port of 2459.
port = 51235
ip = 0.0.0.0
# alternatively, to accept connections on IPv4 + IPv6, use:
#ip = ::
@@ -1494,74 +1465,11 @@ admin = 127.0.0.1
protocol = ws
send_queue_limit = 500
# gRPC TLS/SSL Configuration
#
# The gRPC port supports optional TLS/SSL encryption. When TLS is not
# configured, the gRPC server will accept unencrypted connections.
#
# ssl_cert = <filename>
# ssl_key = <filename>
#
# To enable TLS for gRPC, both ssl_cert and ssl_key must be specified.
# If only one is provided, xrpld will fail to start.
#
# ssl_cert: Path to the server's SSL certificate file in PEM format.
# ssl_key: Path to the server's SSL private key file in PEM format.
#
# When configured, the gRPC server will only accept TLS-encrypted
# connections. Clients must use TLS (secure) channel credentials rather
# than plaintext / insecure connections.
#
# ssl_cert_chain = <filename>
#
# Optional. Path to intermediate CA certificate(s) in PEM format that
# complete the server's certificate chain.
#
# This file should contain the intermediate CA certificate(s) needed
# to build a trust chain from the server certificate (ssl_cert) to a
# root CA that clients trust. Multiple certificates should be
# concatenated in PEM format.
#
# This is needed when your server certificate was signed by an
# intermediate CA rather than directly by a root CA. Without this,
# clients may fail to verify your server certificate.
#
# If not specified, only the server certificate from ssl_cert will be
# presented to clients.
#
# ssl_client_ca = <filename>
#
# Optional. Path to a CA certificate file in PEM format for verifying
# client certificates (mutual TLS / mTLS).
#
# When specified, the gRPC server will verify client certificates
# against this CA. This enables mutual authentication where both the
# server and client verify each other's identity.
#
# This is typically NOT needed for public-facing gRPC servers. Only
# use this if you want to restrict access to clients with valid
# certificates signed by the specified CA.
#
# If not specified, the server will use one-way TLS (server
# authentication only) and will accept connections from any client.
#
[port_grpc]
port = 50051
ip = 127.0.0.1
secure_gateway = 127.0.0.1
# Optional TLS/SSL configuration for gRPC
# To enable TLS, uncomment and configure both ssl_cert and ssl_key:
#ssl_cert = /etc/ssl/certs/grpc-server.crt
#ssl_key = /etc/ssl/private/grpc-server.key
# Optional: Include intermediate CA certificates for complete certificate chain
#ssl_cert_chain = /etc/ssl/certs/grpc-intermediate-ca.crt
# Optional: Enable mutual TLS (client certificate verification)
# Uncomment to require and verify client certificates:
#ssl_client_ca = /etc/ssl/certs/grpc-client-ca.crt
#[port_ws_public]
#port = 6005
#ip = 127.0.0.1
@@ -1621,108 +1529,3 @@ validators.txt
# set to ssl_verify to 0.
[ssl_verify]
1
#-------------------------------------------------------------------------------
#
# 11. Telemetry (OpenTelemetry Tracing)
#
#-------------------------------------------------------------------------------
#
# Enables distributed tracing via OpenTelemetry. Requires building with
# -DXRPL_ENABLE_TELEMETRY=ON (telemetry Conan option).
#
# [telemetry]
#
# enabled=0
#
# Enable or disable telemetry at runtime. Default: 0 (disabled).
#
# service_name=xrpld
#
# OTel resource attribute `service.name`. Default: xrpld.
# The node's network ID (from [network_id]) is automatically added
# as the `xrpl.network.id` and `xrpl.network.type` resource attributes.
#
# service_instance_id=<node_public_key>
#
# OTel resource attribute `service.instance.id`. Uniquely identifies
# this node. Default: the node's public key (auto-detected).
#
# endpoint=http://localhost:4318/v1/traces
#
# The OTLP/HTTP exporter endpoint. The server sends trace data as
# protobuf-encoded HTTP POST requests to this URL.
# Default: http://localhost:4318/v1/traces.
#
# --- TLS settings for the OTLP exporter connection ---
#
# use_tls=0
#
# Enable TLS for the OTLP/HTTP exporter connection. Default: 0 (off).
#
# tls_ca_cert=
#
# Path to a PEM-encoded CA certificate bundle for TLS verification.
# Only used when use_tls=1. Default: empty (system CA store).
#
# tls_client_cert=
#
# Path to this node's PEM-encoded client certificate, presented to the
# collector for mutual TLS (mTLS). Only used when use_tls=1. Leave empty
# for one-way (server-only) TLS. Default: empty.
#
# tls_client_key=
#
# Path to the PEM-encoded private key for tls_client_cert. Required
# whenever tls_client_cert is set. Only used when use_tls=1.
# Default: empty.
#
# Head sampling is intentionally fixed at 1.0 (sample everything) and is
# not configurable. A per-node sampling ratio would let nodes make
# divergent keep/drop decisions for the same distributed trace, producing
# broken/partial traces. A ParentBasedSampler ensures spans inheriting a
# remote parent honor the upstream decision. Reduce volume at the collector
# via tail sampling instead; for node-local post-hoc dropping use
# SpanGuard::discard() in code.
#
# trace_rpc=1
#
# Enable tracing for JSON-RPC and WebSocket API request handling —
# command parsing, execution, and response serialization. Default: 1.
#
# trace_transactions=1
#
# Enable tracing for the transaction lifecycle — submission, validation,
# application to ledgers, and final disposition. Default: 1.
#
# trace_consensus=1
#
# Enable tracing for the consensus round lifecycle — proposals,
# validations, mode changes, and ledger acceptance. Default: 1.
#
# trace_peer=1
#
# Enable tracing for peer-to-peer protocol messages — overlay message
# send/receive, peer handshakes, and routing. High volume; enabled
# by default. Default: 1.
#
# trace_ledger=1
#
# Enable tracing for ledger close and accept operations — ledger
# building, state hashing, and write-back to the node store. Default: 1.
#
# --- Batch processor tuning ---
#
# batch_size=512
#
# Maximum number of spans exported in a single batch. Default: 512.
#
# batch_delay_ms=5000
#
# Maximum delay (milliseconds) before a partial batch is flushed.
# Default: 5000 (5 seconds).
#
# max_queue_size=2048
#
# Maximum number of spans queued in memory before drops occur.
# Default: 2048.
#

View File

@@ -1,32 +1,29 @@
macro(exclude_from_default target_)
macro (exclude_from_default target_)
set_target_properties(${target_} PROPERTIES EXCLUDE_FROM_ALL ON)
set_target_properties(${target_} PROPERTIES EXCLUDE_FROM_DEFAULT_BUILD ON)
endmacro()
endmacro ()
macro(exclude_if_included target_)
macro (exclude_if_included target_)
get_directory_property(has_parent PARENT_DIRECTORY)
if(has_parent)
if (has_parent)
exclude_from_default(${target_})
endif()
endmacro()
endif ()
endmacro ()
find_package(Git)
function(git_branch branch_val)
if(NOT GIT_FOUND)
function (git_branch branch_val)
if (NOT GIT_FOUND)
return()
endif()
endif ()
set(_branch "")
execute_process(
COMMAND ${GIT_EXECUTABLE} "rev-parse" "--abbrev-ref" "HEAD"
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
RESULT_VARIABLE _git_exit_code
OUTPUT_VARIABLE _temp_branch
OUTPUT_STRIP_TRAILING_WHITESPACE
ERROR_QUIET
)
if(_git_exit_code EQUAL 0)
execute_process(COMMAND ${GIT_EXECUTABLE} "rev-parse" "--abbrev-ref" "HEAD"
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
RESULT_VARIABLE _git_exit_code
OUTPUT_VARIABLE _temp_branch
OUTPUT_STRIP_TRAILING_WHITESPACE ERROR_QUIET)
if (_git_exit_code EQUAL 0)
set(_branch ${_temp_branch})
endif()
endif ()
set(${branch_val} "${_branch}" PARENT_SCOPE)
endfunction()
endfunction ()

View File

@@ -1,62 +1,50 @@
find_program(CCACHE_PATH "ccache")
if(NOT CCACHE_PATH)
if (NOT CCACHE_PATH)
return()
endif()
endif ()
# For Linux and macOS we can use the ccache binary directly.
if(NOT MSVC)
if (NOT MSVC)
set(CMAKE_C_COMPILER_LAUNCHER "${CCACHE_PATH}")
set(CMAKE_CXX_COMPILER_LAUNCHER "${CCACHE_PATH}")
message(STATUS "Found ccache: ${CCACHE_PATH}")
return()
endif()
endif ()
# For Windows more effort is required. The code below is a modified version of
# https://github.com/ccache/ccache/wiki/MS-Visual-Studio#usage-with-cmake.
if("${CCACHE_PATH}" MATCHES "chocolatey")
if ("${CCACHE_PATH}" MATCHES "chocolatey")
message(DEBUG "Ccache path: ${CCACHE_PATH}")
# Chocolatey uses a shim executable that we cannot use directly, in which case we have to find the executable it
# points to. If we cannot find the target executable then we cannot use ccache.
find_program(BASH_PATH "bash")
if(NOT BASH_PATH)
if (NOT BASH_PATH)
message(WARNING "Could not find bash.")
return()
endif()
endif ()
execute_process(
COMMAND
bash -c
"export LC_ALL='en_US.UTF-8'; ${CCACHE_PATH} --shimgen-noop | grep -oP 'path to executable: \\K.+' | head -c -1"
OUTPUT_VARIABLE CCACHE_PATH
)
execute_process(COMMAND bash -c
"export LC_ALL='en_US.UTF-8'; ${CCACHE_PATH} --shimgen-noop | grep -oP 'path to executable: \\K.+' | head -c -1"
OUTPUT_VARIABLE CCACHE_PATH)
if(NOT CCACHE_PATH)
if (NOT CCACHE_PATH)
message(WARNING "Could not find ccache target.")
return()
endif()
endif ()
file(TO_CMAKE_PATH "${CCACHE_PATH}" CCACHE_PATH)
endif()
endif ()
message(STATUS "Found ccache: ${CCACHE_PATH}")
# Tell cmake to use ccache for compiling with Visual Studio.
file(COPY_FILE ${CCACHE_PATH} ${CMAKE_BINARY_DIR}/cl.exe ONLY_IF_DIFFERENT)
set(CMAKE_VS_GLOBALS
"CLToolExe=cl.exe"
"CLToolPath=${CMAKE_BINARY_DIR}"
"TrackFileAccess=false"
"UseMultiToolTask=true"
)
set(CMAKE_VS_GLOBALS "CLToolExe=cl.exe" "CLToolPath=${CMAKE_BINARY_DIR}" "TrackFileAccess=false"
"UseMultiToolTask=true")
# By default Visual Studio generators will use /Zi to capture debug information, which is not compatible with ccache, so
# tell it to use /Z7 instead.
if(MSVC)
foreach(
var_
CMAKE_C_FLAGS_DEBUG
CMAKE_C_FLAGS_RELEASE
CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE
)
if (MSVC)
foreach (var_ CMAKE_C_FLAGS_DEBUG CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE)
string(REPLACE "/Zi" "/Z7" ${var_} "${${var_}}")
endforeach()
endif()
endforeach ()
endif ()

View File

@@ -174,45 +174,37 @@ option(CODE_COVERAGE_VERBOSE "Verbose information" FALSE)
# Check prereqs
find_program(GCOVR_PATH gcovr PATHS ${CMAKE_SOURCE_DIR}/scripts/test)
if(DEFINED CODE_COVERAGE_GCOV_TOOL)
if (DEFINED CODE_COVERAGE_GCOV_TOOL)
set(GCOV_TOOL "${CODE_COVERAGE_GCOV_TOOL}")
elseif(DEFINED ENV{CODE_COVERAGE_GCOV_TOOL})
elseif (DEFINED ENV{CODE_COVERAGE_GCOV_TOOL})
set(GCOV_TOOL "$ENV{CODE_COVERAGE_GCOV_TOOL}")
elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if(APPLE)
execute_process(
COMMAND xcrun -f llvm-cov
OUTPUT_VARIABLE LLVMCOV_PATH
OUTPUT_STRIP_TRAILING_WHITESPACE
)
else()
elseif ("${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if (APPLE)
execute_process(COMMAND xcrun -f llvm-cov OUTPUT_VARIABLE LLVMCOV_PATH
OUTPUT_STRIP_TRAILING_WHITESPACE)
else ()
find_program(LLVMCOV_PATH llvm-cov)
endif()
if(LLVMCOV_PATH)
endif ()
if (LLVMCOV_PATH)
set(GCOV_TOOL "${LLVMCOV_PATH} gcov")
endif()
elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "GNU")
endif ()
elseif ("${CMAKE_CXX_COMPILER_ID}" MATCHES "GNU")
find_program(GCOV_PATH gcov)
set(GCOV_TOOL "${GCOV_PATH}")
endif()
endif ()
# Check supported compiler (Clang, GNU and Flang)
get_property(LANGUAGES GLOBAL PROPERTY ENABLED_LANGUAGES)
foreach(LANG ${LANGUAGES})
if("${CMAKE_${LANG}_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if("${CMAKE_${LANG}_COMPILER_VERSION}" VERSION_LESS 3)
message(
FATAL_ERROR
"Clang version must be 3.0.0 or greater! Aborting..."
)
endif()
elseif(
NOT "${CMAKE_${LANG}_COMPILER_ID}" MATCHES "GNU"
AND NOT "${CMAKE_${LANG}_COMPILER_ID}" MATCHES "(LLVM)?[Ff]lang"
)
foreach (LANG ${LANGUAGES})
if ("${CMAKE_${LANG}_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if ("${CMAKE_${LANG}_COMPILER_VERSION}" VERSION_LESS 3)
message(FATAL_ERROR "Clang version must be 3.0.0 or greater! Aborting...")
endif ()
elseif (NOT "${CMAKE_${LANG}_COMPILER_ID}" MATCHES "GNU" AND NOT "${CMAKE_${LANG}_COMPILER_ID}"
MATCHES "(LLVM)?[Ff]lang")
message(FATAL_ERROR "Compiler is not GNU or Flang! Aborting...")
endif()
endforeach()
endif ()
endforeach ()
set(COVERAGE_COMPILER_FLAGS "-g --coverage" CACHE INTERNAL "")
@@ -221,7 +213,7 @@ set(COVERAGE_C_COMPILER_FLAGS "")
set(COVERAGE_CXX_LINKER_FLAGS "")
set(COVERAGE_C_LINKER_FLAGS "")
if(CMAKE_CXX_COMPILER_ID MATCHES "(GNU|Clang)")
if (CMAKE_CXX_COMPILER_ID MATCHES "(GNU|Clang)")
include(CheckCXXCompilerFlag)
include(CheckCCompilerFlag)
include(CheckLinkerFlag)
@@ -232,77 +224,51 @@ if(CMAKE_CXX_COMPILER_ID MATCHES "(GNU|Clang)")
set(COVERAGE_C_LINKER_FLAGS ${COVERAGE_COMPILER_FLAGS})
check_cxx_compiler_flag(-fprofile-abs-path HAVE_cxx_fprofile_abs_path)
if(HAVE_cxx_fprofile_abs_path)
set(COVERAGE_CXX_COMPILER_FLAGS
"${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_cxx_fprofile_abs_path)
set(COVERAGE_CXX_COMPILER_FLAGS "${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-abs-path")
endif ()
check_c_compiler_flag(-fprofile-abs-path HAVE_c_fprofile_abs_path)
if(HAVE_c_fprofile_abs_path)
set(COVERAGE_C_COMPILER_FLAGS
"${COVERAGE_C_COMPILER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_c_fprofile_abs_path)
set(COVERAGE_C_COMPILER_FLAGS "${COVERAGE_C_COMPILER_FLAGS} -fprofile-abs-path")
endif ()
check_linker_flag(CXX -fprofile-abs-path HAVE_cxx_linker_fprofile_abs_path)
if(HAVE_cxx_linker_fprofile_abs_path)
set(COVERAGE_CXX_LINKER_FLAGS
"${COVERAGE_CXX_LINKER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_cxx_linker_fprofile_abs_path)
set(COVERAGE_CXX_LINKER_FLAGS "${COVERAGE_CXX_LINKER_FLAGS} -fprofile-abs-path")
endif ()
check_linker_flag(C -fprofile-abs-path HAVE_c_linker_fprofile_abs_path)
if(HAVE_c_linker_fprofile_abs_path)
set(COVERAGE_C_LINKER_FLAGS
"${COVERAGE_C_LINKER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_c_linker_fprofile_abs_path)
set(COVERAGE_C_LINKER_FLAGS "${COVERAGE_C_LINKER_FLAGS} -fprofile-abs-path")
endif ()
check_cxx_compiler_flag(-fprofile-update=atomic HAVE_cxx_fprofile_update)
if(HAVE_cxx_fprofile_update)
set(COVERAGE_CXX_COMPILER_FLAGS
"${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-update=atomic"
)
endif()
if (HAVE_cxx_fprofile_update)
set(COVERAGE_CXX_COMPILER_FLAGS "${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-update=atomic")
endif ()
check_c_compiler_flag(-fprofile-update=atomic HAVE_c_fprofile_update)
if(HAVE_c_fprofile_update)
set(COVERAGE_C_COMPILER_FLAGS
"${COVERAGE_C_COMPILER_FLAGS} -fprofile-update=atomic"
)
endif()
if (HAVE_c_fprofile_update)
set(COVERAGE_C_COMPILER_FLAGS "${COVERAGE_C_COMPILER_FLAGS} -fprofile-update=atomic")
endif ()
check_linker_flag(
CXX
-fprofile-update=atomic
HAVE_cxx_linker_fprofile_update
)
if(HAVE_cxx_linker_fprofile_update)
set(COVERAGE_CXX_LINKER_FLAGS
"${COVERAGE_CXX_LINKER_FLAGS} -fprofile-update=atomic"
)
endif()
check_linker_flag(CXX -fprofile-update=atomic HAVE_cxx_linker_fprofile_update)
if (HAVE_cxx_linker_fprofile_update)
set(COVERAGE_CXX_LINKER_FLAGS "${COVERAGE_CXX_LINKER_FLAGS} -fprofile-update=atomic")
endif ()
check_linker_flag(C -fprofile-update=atomic HAVE_c_linker_fprofile_update)
if(HAVE_c_linker_fprofile_update)
set(COVERAGE_C_LINKER_FLAGS
"${COVERAGE_C_LINKER_FLAGS} -fprofile-update=atomic"
)
endif()
endif()
if (HAVE_c_linker_fprofile_update)
set(COVERAGE_C_LINKER_FLAGS "${COVERAGE_C_LINKER_FLAGS} -fprofile-update=atomic")
endif ()
get_property(
GENERATOR_IS_MULTI_CONFIG
GLOBAL
PROPERTY GENERATOR_IS_MULTI_CONFIG
)
if(NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG))
message(
WARNING
"Code coverage results with an optimised (non-Debug) build may be misleading"
)
endif() # NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG)
endif ()
get_property(GENERATOR_IS_MULTI_CONFIG GLOBAL PROPERTY GENERATOR_IS_MULTI_CONFIG)
if (NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG))
message(WARNING "Code coverage results with an optimised (non-Debug) build may be misleading")
endif () # NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG)
# Defines a target for running and collection code coverage information
# Builds dependencies, runs the given executable and outputs reports.
@@ -326,167 +292,125 @@ endif() # NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG)
# )
# The user can set the variable GCOVR_ADDITIONAL_ARGS to supply additional flags to the
# GCVOR command.
function(setup_target_for_coverage_gcovr)
function (setup_target_for_coverage_gcovr)
set(options NONE)
set(oneValueArgs BASE_DIRECTORY NAME FORMAT)
set(multiValueArgs EXCLUDE EXECUTABLE EXECUTABLE_ARGS DEPENDENCIES)
cmake_parse_arguments(
Coverage
"${options}"
"${oneValueArgs}"
"${multiValueArgs}"
${ARGN}
)
cmake_parse_arguments(Coverage "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if(NOT GCOV_TOOL)
if (NOT GCOV_TOOL)
message(FATAL_ERROR "Could not find gcov or llvm-cov tool! Aborting...")
endif()
endif ()
if(NOT GCOVR_PATH)
if (NOT GCOVR_PATH)
message(FATAL_ERROR "Could not find gcovr tool! Aborting...")
endif()
endif ()
# Set base directory (as absolute path), or default to PROJECT_SOURCE_DIR
if(DEFINED Coverage_BASE_DIRECTORY)
if (DEFINED Coverage_BASE_DIRECTORY)
get_filename_component(BASEDIR ${Coverage_BASE_DIRECTORY} ABSOLUTE)
else()
else ()
set(BASEDIR ${PROJECT_SOURCE_DIR})
endif()
endif ()
if(NOT DEFINED Coverage_FORMAT)
if (NOT DEFINED Coverage_FORMAT)
set(Coverage_FORMAT xml)
endif()
endif ()
if(NOT DEFINED Coverage_EXECUTABLE AND DEFINED Coverage_EXECUTABLE_ARGS)
message(
FATAL_ERROR
"EXECUTABLE_ARGS must not be set if EXECUTABLE is not set"
)
endif()
if (NOT DEFINED Coverage_EXECUTABLE AND DEFINED Coverage_EXECUTABLE_ARGS)
message(FATAL_ERROR "EXECUTABLE_ARGS must not be set if EXECUTABLE is not set")
endif ()
if("--output" IN_LIST GCOVR_ADDITIONAL_ARGS)
message(
FATAL_ERROR
"Unsupported --output option detected in GCOVR_ADDITIONAL_ARGS! Aborting..."
if ("--output" IN_LIST GCOVR_ADDITIONAL_ARGS)
message(FATAL_ERROR "Unsupported --output option detected in GCOVR_ADDITIONAL_ARGS! Aborting..."
)
else()
if(
(Coverage_FORMAT STREQUAL "html-details")
OR (Coverage_FORMAT STREQUAL "html-nested")
)
set(GCOVR_OUTPUT_FILE
${PROJECT_BINARY_DIR}/${Coverage_NAME}/index.html
)
else ()
if ((Coverage_FORMAT STREQUAL "html-details") OR (Coverage_FORMAT STREQUAL "html-nested"))
set(GCOVR_OUTPUT_FILE ${PROJECT_BINARY_DIR}/${Coverage_NAME}/index.html)
set(GCOVR_CREATE_FOLDER ${PROJECT_BINARY_DIR}/${Coverage_NAME})
elseif(Coverage_FORMAT STREQUAL "html-single")
elseif (Coverage_FORMAT STREQUAL "html-single")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.html)
elseif(
(Coverage_FORMAT STREQUAL "json-summary")
OR (Coverage_FORMAT STREQUAL "json-details")
OR (Coverage_FORMAT STREQUAL "coveralls")
)
elseif ((Coverage_FORMAT STREQUAL "json-summary") OR (Coverage_FORMAT STREQUAL
"json-details")
OR (Coverage_FORMAT STREQUAL "coveralls"))
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.json)
elseif(Coverage_FORMAT STREQUAL "txt")
elseif (Coverage_FORMAT STREQUAL "txt")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.txt)
elseif(Coverage_FORMAT STREQUAL "csv")
elseif (Coverage_FORMAT STREQUAL "csv")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.csv)
elseif(Coverage_FORMAT STREQUAL "lcov")
elseif (Coverage_FORMAT STREQUAL "lcov")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.lcov)
else()
else ()
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.xml)
endif()
endif()
endif ()
endif ()
if(
(Coverage_FORMAT STREQUAL "cobertura")
OR (Coverage_FORMAT STREQUAL "xml")
)
if ((Coverage_FORMAT STREQUAL "cobertura") OR (Coverage_FORMAT STREQUAL "xml"))
list(APPEND GCOVR_ADDITIONAL_ARGS --cobertura "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --cobertura-pretty)
set(Coverage_FORMAT cobertura) # overwrite xml
elseif(Coverage_FORMAT STREQUAL "sonarqube")
elseif (Coverage_FORMAT STREQUAL "sonarqube")
list(APPEND GCOVR_ADDITIONAL_ARGS --sonarqube "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "jacoco")
elseif (Coverage_FORMAT STREQUAL "jacoco")
list(APPEND GCOVR_ADDITIONAL_ARGS --jacoco "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --jacoco-pretty)
elseif(Coverage_FORMAT STREQUAL "clover")
elseif (Coverage_FORMAT STREQUAL "clover")
list(APPEND GCOVR_ADDITIONAL_ARGS --clover "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --clover-pretty)
elseif(Coverage_FORMAT STREQUAL "lcov")
elseif (Coverage_FORMAT STREQUAL "lcov")
list(APPEND GCOVR_ADDITIONAL_ARGS --lcov "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "json-summary")
elseif (Coverage_FORMAT STREQUAL "json-summary")
list(APPEND GCOVR_ADDITIONAL_ARGS --json-summary "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --json-summary-pretty)
elseif(Coverage_FORMAT STREQUAL "json-details")
elseif (Coverage_FORMAT STREQUAL "json-details")
list(APPEND GCOVR_ADDITIONAL_ARGS --json "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --json-pretty)
elseif(Coverage_FORMAT STREQUAL "coveralls")
elseif (Coverage_FORMAT STREQUAL "coveralls")
list(APPEND GCOVR_ADDITIONAL_ARGS --coveralls "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --coveralls-pretty)
elseif(Coverage_FORMAT STREQUAL "csv")
elseif (Coverage_FORMAT STREQUAL "csv")
list(APPEND GCOVR_ADDITIONAL_ARGS --csv "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "txt")
elseif (Coverage_FORMAT STREQUAL "txt")
list(APPEND GCOVR_ADDITIONAL_ARGS --txt "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "html-single")
elseif (Coverage_FORMAT STREQUAL "html-single")
list(APPEND GCOVR_ADDITIONAL_ARGS --html "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --html-self-contained)
elseif(Coverage_FORMAT STREQUAL "html-nested")
elseif (Coverage_FORMAT STREQUAL "html-nested")
list(APPEND GCOVR_ADDITIONAL_ARGS --html-nested "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "html-details")
elseif (Coverage_FORMAT STREQUAL "html-details")
list(APPEND GCOVR_ADDITIONAL_ARGS --html-details "${GCOVR_OUTPUT_FILE}")
else()
message(
FATAL_ERROR
"Unsupported output style ${Coverage_FORMAT}! Aborting..."
)
endif()
else ()
message(FATAL_ERROR "Unsupported output style ${Coverage_FORMAT}! Aborting...")
endif ()
# Collect excludes (CMake 3.4+: Also compute absolute paths)
set(GCOVR_EXCLUDES "")
foreach(
EXCLUDE
${Coverage_EXCLUDE}
${COVERAGE_EXCLUDES}
${COVERAGE_GCOVR_EXCLUDES}
)
if(CMAKE_VERSION VERSION_GREATER 3.4)
get_filename_component(
EXCLUDE
${EXCLUDE}
ABSOLUTE
BASE_DIR ${BASEDIR}
)
endif()
foreach (EXCLUDE ${Coverage_EXCLUDE} ${COVERAGE_EXCLUDES} ${COVERAGE_GCOVR_EXCLUDES})
if (CMAKE_VERSION VERSION_GREATER 3.4)
get_filename_component(EXCLUDE ${EXCLUDE} ABSOLUTE BASE_DIR ${BASEDIR})
endif ()
list(APPEND GCOVR_EXCLUDES "${EXCLUDE}")
endforeach()
endforeach ()
list(REMOVE_DUPLICATES GCOVR_EXCLUDES)
# Combine excludes to several -e arguments
set(GCOVR_EXCLUDE_ARGS "")
foreach(EXCLUDE ${GCOVR_EXCLUDES})
foreach (EXCLUDE ${GCOVR_EXCLUDES})
list(APPEND GCOVR_EXCLUDE_ARGS "-e")
list(APPEND GCOVR_EXCLUDE_ARGS "${EXCLUDE}")
endforeach()
endforeach ()
# Set up commands which will be run to generate coverage data
# If EXECUTABLE is not set, the user is expected to run the tests manually
# before running the coverage target NAME
if(DEFINED Coverage_EXECUTABLE)
set(GCOVR_EXEC_TESTS_CMD
${Coverage_EXECUTABLE}
${Coverage_EXECUTABLE_ARGS}
)
endif()
if (DEFINED Coverage_EXECUTABLE)
set(GCOVR_EXEC_TESTS_CMD ${Coverage_EXECUTABLE} ${Coverage_EXECUTABLE_ARGS})
endif ()
# Create folder
if(DEFINED GCOVR_CREATE_FOLDER)
set(GCOVR_FOLDER_CMD
${CMAKE_COMMAND}
-E
make_directory
${GCOVR_CREATE_FOLDER}
)
endif()
if (DEFINED GCOVR_CREATE_FOLDER)
set(GCOVR_FOLDER_CMD ${CMAKE_COMMAND} -E make_directory ${GCOVR_CREATE_FOLDER})
endif ()
# Running gcovr
set(GCOVR_CMD
@@ -498,95 +422,56 @@ function(setup_target_for_coverage_gcovr)
${BASEDIR}
${GCOVR_ADDITIONAL_ARGS}
${GCOVR_EXCLUDE_ARGS}
--object-directory=${PROJECT_BINARY_DIR}
)
--object-directory=${PROJECT_BINARY_DIR})
if(CODE_COVERAGE_VERBOSE)
if (CODE_COVERAGE_VERBOSE)
message(STATUS "Executed command report")
if(NOT "${GCOVR_EXEC_TESTS_CMD}" STREQUAL "")
if (NOT "${GCOVR_EXEC_TESTS_CMD}" STREQUAL "")
message(STATUS "Command to run tests: ")
string(
REPLACE ";"
" "
GCOVR_EXEC_TESTS_CMD_SPACED
"${GCOVR_EXEC_TESTS_CMD}"
)
string(REPLACE ";" " " GCOVR_EXEC_TESTS_CMD_SPACED "${GCOVR_EXEC_TESTS_CMD}")
message(STATUS "${GCOVR_EXEC_TESTS_CMD_SPACED}")
endif()
endif ()
if(NOT "${GCOVR_FOLDER_CMD}" STREQUAL "")
if (NOT "${GCOVR_FOLDER_CMD}" STREQUAL "")
message(STATUS "Command to create a folder: ")
string(
REPLACE ";"
" "
GCOVR_FOLDER_CMD_SPACED
"${GCOVR_FOLDER_CMD}"
)
string(REPLACE ";" " " GCOVR_FOLDER_CMD_SPACED "${GCOVR_FOLDER_CMD}")
message(STATUS "${GCOVR_FOLDER_CMD_SPACED}")
endif()
endif ()
message(STATUS "Command to generate gcovr coverage data: ")
string(REPLACE ";" " " GCOVR_CMD_SPACED "${GCOVR_CMD}")
message(STATUS "${GCOVR_CMD_SPACED}")
endif()
endif ()
add_custom_target(
${Coverage_NAME}
COMMAND ${GCOVR_EXEC_TESTS_CMD}
COMMAND ${GCOVR_FOLDER_CMD}
COMMAND ${GCOVR_CMD}
BYPRODUCTS ${GCOVR_OUTPUT_FILE}
WORKING_DIRECTORY ${PROJECT_BINARY_DIR}
DEPENDS ${Coverage_DEPENDENCIES}
VERBATIM # Protect arguments to commands
COMMENT "Running gcovr to produce code coverage report."
)
add_custom_target(${Coverage_NAME}
COMMAND ${GCOVR_EXEC_TESTS_CMD}
COMMAND ${GCOVR_FOLDER_CMD}
COMMAND ${GCOVR_CMD}
BYPRODUCTS ${GCOVR_OUTPUT_FILE}
WORKING_DIRECTORY ${PROJECT_BINARY_DIR}
DEPENDS ${Coverage_DEPENDENCIES}
VERBATIM # Protect arguments to commands
COMMENT "Running gcovr to produce code coverage report.")
# Show info where to find the report
add_custom_command(
TARGET ${Coverage_NAME}
POST_BUILD
COMMAND echo
COMMENT
"Code coverage report saved in ${GCOVR_OUTPUT_FILE} formatted as ${Coverage_FORMAT}"
TARGET ${Coverage_NAME} POST_BUILD COMMAND echo
COMMENT "Code coverage report saved in ${GCOVR_OUTPUT_FILE} formatted as ${Coverage_FORMAT}"
)
endfunction() # setup_target_for_coverage_gcovr
endfunction () # setup_target_for_coverage_gcovr
function(add_code_coverage_to_target name scope)
separate_arguments(
COVERAGE_CXX_COMPILER_FLAGS
NATIVE_COMMAND
"${COVERAGE_CXX_COMPILER_FLAGS}"
)
separate_arguments(
COVERAGE_C_COMPILER_FLAGS
NATIVE_COMMAND
"${COVERAGE_C_COMPILER_FLAGS}"
)
separate_arguments(
COVERAGE_CXX_LINKER_FLAGS
NATIVE_COMMAND
"${COVERAGE_CXX_LINKER_FLAGS}"
)
separate_arguments(
COVERAGE_C_LINKER_FLAGS
NATIVE_COMMAND
"${COVERAGE_C_LINKER_FLAGS}"
)
function (add_code_coverage_to_target name scope)
separate_arguments(COVERAGE_CXX_COMPILER_FLAGS NATIVE_COMMAND "${COVERAGE_CXX_COMPILER_FLAGS}")
separate_arguments(COVERAGE_C_COMPILER_FLAGS NATIVE_COMMAND "${COVERAGE_C_COMPILER_FLAGS}")
separate_arguments(COVERAGE_CXX_LINKER_FLAGS NATIVE_COMMAND "${COVERAGE_CXX_LINKER_FLAGS}")
separate_arguments(COVERAGE_C_LINKER_FLAGS NATIVE_COMMAND "${COVERAGE_C_LINKER_FLAGS}")
# Add compiler options to the target
target_compile_options(
${name}
${scope}
$<$<COMPILE_LANGUAGE:CXX>:${COVERAGE_CXX_COMPILER_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${COVERAGE_C_COMPILER_FLAGS}>
)
${name} ${scope} $<$<COMPILE_LANGUAGE:CXX>:${COVERAGE_CXX_COMPILER_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${COVERAGE_C_COMPILER_FLAGS}>)
target_link_libraries(
${name}
${scope}
$<$<LINK_LANGUAGE:CXX>:${COVERAGE_CXX_LINKER_FLAGS}>
$<$<LINK_LANGUAGE:C>:${COVERAGE_C_LINKER_FLAGS}>
)
endfunction() # add_code_coverage_to_target
target_link_libraries(${name} ${scope} $<$<LINK_LANGUAGE:CXX>:${COVERAGE_CXX_LINKER_FLAGS}>
$<$<LINK_LANGUAGE:C>:${COVERAGE_C_LINKER_FLAGS}>)
endfunction () # add_code_coverage_to_target

View File

@@ -14,20 +14,20 @@ set(is_gcc FALSE)
set(is_msvc FALSE)
set(is_xcode FALSE)
if(CMAKE_CXX_COMPILER_ID MATCHES ".*Clang") # Clang or AppleClang
if (CMAKE_CXX_COMPILER_ID MATCHES ".*Clang") # Clang or AppleClang
set(is_clang TRUE)
elseif(CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
elseif (CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
set(is_gcc TRUE)
elseif(MSVC)
elseif (MSVC)
set(is_msvc TRUE)
else()
else ()
message(FATAL_ERROR "Unsupported C++ compiler: ${CMAKE_CXX_COMPILER_ID}")
endif()
endif ()
# Xcode generator detection
if(CMAKE_GENERATOR STREQUAL "Xcode")
if (CMAKE_GENERATOR STREQUAL "Xcode")
set(is_xcode TRUE)
endif()
endif ()
# --------------------------------------------------------------------
# Operating system detection
@@ -36,23 +36,23 @@ set(is_linux FALSE)
set(is_windows FALSE)
set(is_macos FALSE)
if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
if (CMAKE_SYSTEM_NAME STREQUAL "Linux")
set(is_linux TRUE)
elseif(CMAKE_SYSTEM_NAME STREQUAL "Windows")
elseif (CMAKE_SYSTEM_NAME STREQUAL "Windows")
set(is_windows TRUE)
elseif(CMAKE_SYSTEM_NAME STREQUAL "Darwin")
elseif (CMAKE_SYSTEM_NAME STREQUAL "Darwin")
set(is_macos TRUE)
endif()
endif ()
# --------------------------------------------------------------------
# Architecture
# --------------------------------------------------------------------
set(is_amd64 FALSE)
set(is_arm64 FALSE)
if(CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64|AMD64")
if (CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64|AMD64")
set(is_amd64 TRUE)
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64|arm64|ARM64")
elseif (CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64|arm64|ARM64")
set(is_arm64 TRUE)
else()
else ()
message(FATAL_ERROR "Unknown architecture: ${CMAKE_SYSTEM_PROCESSOR}")
endif()
endif ()

View File

@@ -1,28 +0,0 @@
include_guard()
set(GIT_BUILD_BRANCH "")
set(GIT_COMMIT_HASH "")
find_package(Git)
if(NOT Git_FOUND)
message(WARNING "Git not found. Git branch and commit hash will be empty.")
return()
endif()
set(GIT_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/.git)
execute_process(
COMMAND
${GIT_EXECUTABLE} --git-dir=${GIT_DIRECTORY} rev-parse --abbrev-ref HEAD
OUTPUT_STRIP_TRAILING_WHITESPACE
OUTPUT_VARIABLE GIT_BUILD_BRANCH
)
execute_process(
COMMAND ${GIT_EXECUTABLE} --git-dir=${GIT_DIRECTORY} rev-parse HEAD
OUTPUT_STRIP_TRAILING_WHITESPACE
OUTPUT_VARIABLE GIT_COMMIT_HASH
)
message(STATUS "Git branch: ${GIT_BUILD_BRANCH}")
message(STATUS "Git commit hash: ${GIT_COMMIT_HASH}")

13
cmake/XrplAddTest.cmake Normal file
View File

@@ -0,0 +1,13 @@
include(isolate_headers)
function (xrpl_add_test name)
set(target ${PROJECT_NAME}.test.${name})
file(GLOB_RECURSE sources CONFIGURE_DEPENDS "${CMAKE_CURRENT_SOURCE_DIR}/${name}/*.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/${name}.cpp")
add_executable(${target} ${ARGN} ${sources})
isolate_headers(${target} "${CMAKE_SOURCE_DIR}" "${CMAKE_SOURCE_DIR}/tests/${name}" PRIVATE)
add_test(NAME ${target} COMMAND ${target})
endfunction ()

View File

@@ -14,42 +14,33 @@ include(XrplSanitizers)
# add a single global dependency on this interface lib
link_libraries(Xrpl::common)
# Respect CMAKE_POSITION_INDEPENDENT_CODE setting (may be set by Conan toolchain)
if(NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
if (NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
endif()
set_target_properties(
common
PROPERTIES
INTERFACE_POSITION_INDEPENDENT_CODE ${CMAKE_POSITION_INDEPENDENT_CODE}
)
endif ()
set_target_properties(common PROPERTIES INTERFACE_POSITION_INDEPENDENT_CODE
${CMAKE_POSITION_INDEPENDENT_CODE})
set(CMAKE_CXX_EXTENSIONS OFF)
target_compile_definitions(
common
INTERFACE
$<$<CONFIG:Debug>:DEBUG
_DEBUG>
#[===[
INTERFACE $<$<CONFIG:Debug>:DEBUG
_DEBUG>
#[===[
NOTE: CMAKE release builds already have NDEBUG defined, so no need to add it
explicitly except for the special case of (profile ON) and (assert OFF).
Presumably this is because we don't want profile builds asserting unless
asserts were specifically requested.
]===]
$<$<AND:$<BOOL:${profile}>,$<NOT:$<BOOL:${assert}>>>:NDEBUG>
# TODO: Remove once we have migrated functions from OpenSSL 1.x to 3.x.
OPENSSL_SUPPRESS_DEPRECATED
)
$<$<AND:$<BOOL:${profile}>,$<NOT:$<BOOL:${assert}>>>:NDEBUG>
# TODO: Remove once we have migrated functions from OpenSSL 1.x to 3.x.
OPENSSL_SUPPRESS_DEPRECATED)
if(MSVC)
if (MSVC)
# remove existing exception flag since we set it to -EHa
string(REGEX REPLACE "[-/]EH[a-z]+" "" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
foreach(
var_
CMAKE_C_FLAGS_DEBUG
CMAKE_C_FLAGS_RELEASE
CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE
)
foreach (var_ CMAKE_C_FLAGS_DEBUG CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE)
# also remove dynamic runtime
string(REGEX REPLACE "[-/]MD[d]*" " " ${var_} "${${var_}}")
@@ -57,169 +48,120 @@ if(MSVC)
string(REPLACE "/ZI" "/Zi" ${var_} "${${var_}}")
# omit debug info completely under CI (not needed)
if(is_ci)
if (is_ci)
string(REPLACE "/Zi" " " ${var_} "${${var_}}")
string(REPLACE "/Z7" " " ${var_} "${${var_}}")
endif()
endforeach()
endif ()
endforeach ()
target_compile_options(
common
INTERFACE # Increase object file max size
-bigobj
# Floating point behavior
-fp:precise
# __cdecl calling convention
-Gd
# Minimal rebuild: disabled
-Gm-
# Function level linking: disabled
-Gy-
# Multiprocessor compilation
-MP
# pragma omp: disabled
-openmp-
# No error reporting to Internet
-errorReport:none
# Suppress login banner
-nologo
# Disable signed/unsigned comparison warnings
-wd4018
# Disable float to int possible loss of data warnings
-wd4244
# Disable size_t to T possible loss of data warnings
-wd4267
# Disable C4800(int to bool performance)
-wd4800
# Decorated name length exceeded, name was truncated
-wd4503
$<$<COMPILE_LANGUAGE:CXX>:
-EHa
-GR
>
$<$<CONFIG:Release>:-Ox>
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:
-GS
-Zc:forScope
>
# static runtime
$<$<CONFIG:Debug>:-MTd>
$<$<NOT:$<CONFIG:Debug>>:-MT>
$<$<BOOL:${werr}>:-WX>
)
-bigobj
# Floating point behavior
-fp:precise
# __cdecl calling convention
-Gd
# Minimal rebuild: disabled
-Gm-
# Function level linking: disabled
-Gy-
# Multiprocessor compilation
-MP
# pragma omp: disabled
-openmp-
# No error reporting to Internet
-errorReport:none
# Suppress login banner
-nologo
# Disable signed/unsigned comparison warnings
-wd4018
# Disable float to int possible loss of data warnings
-wd4244
# Disable size_t to T possible loss of data warnings
-wd4267
# Disable C4800(int to bool performance)
-wd4800
# Decorated name length exceeded, name was truncated
-wd4503
$<$<COMPILE_LANGUAGE:CXX>:
-EHa
-GR
>
$<$<CONFIG:Release>:-Ox>
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:
-GS
-Zc:forScope
>
# static runtime
$<$<CONFIG:Debug>:-MTd>
$<$<NOT:$<CONFIG:Debug>>:-MT>
$<$<BOOL:${werr}>:-WX>)
target_compile_definitions(
common
INTERFACE
_WIN32_WINNT=0x6000
_SCL_SECURE_NO_WARNINGS
_CRT_SECURE_NO_WARNINGS
WIN32_CONSOLE
WIN32_LEAN_AND_MEAN
NOMINMAX
# TODO: Resolve these warnings, don't just silence them
_SILENCE_ALL_CXX17_DEPRECATION_WARNINGS
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:_CRTDBG_MAP_ALLOC>
)
INTERFACE _WIN32_WINNT=0x6000
_SCL_SECURE_NO_WARNINGS
_CRT_SECURE_NO_WARNINGS
WIN32_CONSOLE
WIN32_LEAN_AND_MEAN
NOMINMAX
# TODO: Resolve these warnings, don't just silence them
_SILENCE_ALL_CXX17_DEPRECATION_WARNINGS
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:_CRTDBG_MAP_ALLOC>)
target_link_libraries(common INTERFACE -errorreport:none -machine:X64)
else()
else ()
target_compile_options(
common
INTERFACE
-Wall
-Wdeprecated
$<$<BOOL:${is_clang}>:-Wno-deprecated-declarations>
$<$<BOOL:${wextra}>:-Wextra
-Wno-unused-parameter>
$<$<BOOL:${werr}>:-Werror>
-fstack-protector
-Wno-sign-compare
-Wno-unused-but-set-variable
$<$<NOT:$<CONFIG:Debug>>:-fno-strict-aliasing>
# tweak gcc optimization for debug
$<$<AND:$<BOOL:${is_gcc}>,$<CONFIG:Debug>>:-O0>
# Add debug symbols to release config
$<$<CONFIG:Release>:-g>
)
INTERFACE -Wall
-Wdeprecated
$<$<BOOL:${is_clang}>:-Wno-deprecated-declarations>
$<$<BOOL:${wextra}>:-Wextra
-Wno-unused-parameter>
$<$<BOOL:${werr}>:-Werror>
-fstack-protector
-Wno-sign-compare
-Wno-unused-but-set-variable
$<$<NOT:$<CONFIG:Debug>>:-fno-strict-aliasing>
# tweak gcc optimization for debug
$<$<AND:$<BOOL:${is_gcc}>,$<CONFIG:Debug>>:-O0>
# Add debug symbols to release config
$<$<CONFIG:Release>:-g>)
target_link_libraries(
common
INTERFACE
-rdynamic
$<$<BOOL:${is_linux}>:-Wl,-z,relro,-z,now,--build-id>
# link to static libc/c++ if:
# * static option set and
# * NOT APPLE (AppleClang does not support static libc/c++)
$<$<AND:$<BOOL:${static}>,$<NOT:$<BOOL:${APPLE}>>>:
-static-libstdc++
-static-libgcc
>
)
# Keep -stdlib=libstdc++ off the compile commands, but preserve it for linking.
#
# Conan turns `compiler.libcxx=libstdc++` into `-stdlib=libstdc++` and puts it in
# CMAKE_CXX_FLAGS, which CMake passes to BOTH compile and link steps. On a normal Clang
# the compile step consumes it while choosing the C++ stdlib include paths. The Nixpkgs
# Clang wrapper supplies those paths itself (via -nostdinc++), so at compile time the
# flag is unused -> Clang errors under our -Werror. At link time the flag IS consumed
# (it selects the C++ runtime), so we move it there instead of dropping it entirely.
get_filename_component(_cxx_real "${CMAKE_CXX_COMPILER}" REALPATH)
if(
_cxx_real MATCHES "^/nix/store/"
AND is_linux
AND is_clang
AND CMAKE_CXX_FLAGS MATCHES "stdlib=libstdc"
)
string(
REPLACE "-stdlib=libstdc++"
""
CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS}"
)
string(STRIP "${CMAKE_CXX_FLAGS}" CMAKE_CXX_FLAGS)
add_link_options($<$<LINK_LANGUAGE:CXX>:-stdlib=libstdc++>)
endif()
endif()
INTERFACE -rdynamic
$<$<BOOL:${is_linux}>:-Wl,-z,relro,-z,now,--build-id>
# link to static libc/c++ iff: * static option set and * NOT APPLE (AppleClang does not support static
# libc/c++) and * NOT SANITIZERS (sanitizers typically don't work with static libc/c++)
$<$<AND:$<BOOL:${static}>,$<NOT:$<BOOL:${APPLE}>>,$<NOT:$<BOOL:${SANITIZERS_ENABLED}>>>:
-static-libstdc++
-static-libgcc
>)
endif ()
# Antithesis instrumentation will only be built and deployed using machines running Linux.
if(voidstar)
if(NOT CMAKE_BUILD_TYPE STREQUAL "Debug")
message(
FATAL_ERROR
"Antithesis instrumentation requires Debug build type, aborting..."
if (voidstar)
if (NOT CMAKE_BUILD_TYPE STREQUAL "Debug")
message(FATAL_ERROR "Antithesis instrumentation requires Debug build type, aborting...")
elseif (NOT is_linux)
message(FATAL_ERROR "Antithesis instrumentation requires Linux, aborting...")
elseif (NOT (is_clang AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 16.0))
message(FATAL_ERROR "Antithesis instrumentation requires Clang version 16 or later, aborting..."
)
elseif(NOT is_linux)
message(
FATAL_ERROR
"Antithesis instrumentation requires Linux, aborting..."
)
elseif(
NOT (is_clang AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 16.0)
)
message(
FATAL_ERROR
"Antithesis instrumentation requires Clang version 16 or later, aborting..."
)
endif()
endif()
endif ()
endif ()
if(use_mold)
if (use_mold)
# use mold linker if available
execute_process(
COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=mold -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION
)
if("${LD_VERSION}" MATCHES "mold")
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=mold -Wl,--version ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
if ("${LD_VERSION}" MATCHES "mold")
target_link_libraries(common INTERFACE -fuse-ld=mold)
endif()
endif ()
unset(LD_VERSION)
elseif(use_gold AND is_gcc)
elseif (use_gold AND is_gcc)
# use gold linker if available
execute_process(
COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=gold -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION
)
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=gold -Wl,--version ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
#[=========================================================[
NOTE: THE gold linker inserts -rpath as DT_RUNPATH by
default instead of DT_RPATH, so you might have slightly
@@ -233,37 +175,32 @@ elseif(use_gold AND is_gcc)
disabling would be to figure out all the settings
required to make gold play nicely with jemalloc.
#]=========================================================]
if(("${LD_VERSION}" MATCHES "GNU gold") AND (NOT jemalloc))
if (("${LD_VERSION}" MATCHES "GNU gold") AND (NOT jemalloc))
target_link_libraries(
common
INTERFACE
-fuse-ld=gold
-Wl,--no-as-needed
#[=========================================================[
INTERFACE -fuse-ld=gold
-Wl,--no-as-needed
#[=========================================================[
see https://bugs.launchpad.net/ubuntu/+source/eglibc/+bug/1253638/comments/5
DT_RUNPATH does not work great for transitive
dependencies (of which boost has a few) - so just
switch to DT_RPATH if doing dynamic linking with gold
#]=========================================================]
$<$<NOT:$<BOOL:${static}>>:-Wl,--disable-new-dtags>
)
endif()
$<$<NOT:$<BOOL:${static}>>:-Wl,--disable-new-dtags>)
endif ()
unset(LD_VERSION)
elseif(use_lld)
elseif (use_lld)
# use lld linker if available
execute_process(
COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=lld -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION
)
if("${LD_VERSION}" MATCHES "LLD")
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=lld -Wl,--version ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
if ("${LD_VERSION}" MATCHES "LLD")
target_link_libraries(common INTERFACE -fuse-ld=lld)
endif()
endif ()
unset(LD_VERSION)
endif()
endif ()
if(assert)
foreach(var_ CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_RELEASE)
if (assert)
foreach (var_ CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_RELEASE)
string(REGEX REPLACE "[-/]DNDEBUG" "" ${var_} "${${var_}}")
endforeach()
endif()
endforeach ()
endif ()

52
cmake/XrplConfig.cmake Normal file
View File

@@ -0,0 +1,52 @@
include(CMakeFindDependencyMacro)
# need to represent system dependencies of the lib here
#[=========================================================[
Boost
#]=========================================================]
if (static OR APPLE OR MSVC)
set(Boost_USE_STATIC_LIBS ON)
endif ()
set(Boost_USE_MULTITHREADED ON)
if (static OR MSVC)
set(Boost_USE_STATIC_RUNTIME ON)
else ()
set(Boost_USE_STATIC_RUNTIME OFF)
endif ()
find_dependency(Boost
COMPONENTS
chrono
container
context
coroutine
date_time
filesystem
program_options
regex
system
thread)
#[=========================================================[
OpenSSL
#]=========================================================]
if (NOT DEFINED OPENSSL_ROOT_DIR)
if (DEFINED ENV{OPENSSL_ROOT})
set(OPENSSL_ROOT_DIR $ENV{OPENSSL_ROOT})
elseif (APPLE)
find_program(homebrew brew)
if (homebrew)
execute_process(COMMAND ${homebrew} --prefix openssl OUTPUT_VARIABLE OPENSSL_ROOT_DIR
OUTPUT_STRIP_TRAILING_WHITESPACE)
endif ()
endif ()
file(TO_CMAKE_PATH "${OPENSSL_ROOT_DIR}" OPENSSL_ROOT_DIR)
endif ()
if (static OR APPLE OR MSVC)
set(OPENSSL_USE_STATIC_LIBS ON)
endif ()
set(OPENSSL_MSVC_STATIC_RT ON)
find_dependency(OpenSSL REQUIRED)
find_dependency(ZLIB)
find_dependency(date)
if (TARGET ZLIB::ZLIB)
set_target_properties(OpenSSL::Crypto PROPERTIES INTERFACE_LINK_LIBRARIES ZLIB::ZLIB)
endif ()

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