Files
rippled/.github/scripts/otel-naming/check_otel_naming.py
Pratik Mankawde 0a373f631c fix(telemetry): resolve otel-naming and UBSAN CI failures
- Add job_type to otel-naming builtins (standard Prometheus label for
  job-queue metrics used in node-health dashboard)
- Add OpenTelemetry SDK to UBSAN suppressions (intentional unsigned
  integer overflow in attributemap_hash.h hash computation)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-07-08 15:25:59 +01:00

887 lines
38 KiB
Python

#!/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",
"job_type", # standard Prometheus label for job-queue metrics
"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()