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The harness manifests asserted things the code cannot produce and missed most of what it does. Two assertions were failing every run, and the metric set covered 16 of the ~41 emitted names. expected_spans.json: rpc.process was required with rpc.ws_message as its parent, but it is created only in ServerHandler::processRequest() on the HTTP path, so a WebSocket-only workload never produces it -- it is now optional and parented to rpc.http_request, and the rpc.process -> rpc.command.* edge is skipped with the real reason instead of a coroutine-context-loss diagnosis that was never the cause. Adds the missing rpc.ws_upgrade span, corrects four parents (consensus.mode_change, pathfind.request, and update_positions/check, which are children of consensus.establish rather than consensus.round), and demotes conditionally-set attributes out of required_attributes so a healthy run stops failing. Counts recomputed from the file: 41 span types, 62 unique required attributes. expected_metrics.json: 16 -> 52 asserted entries across the job-queue, RPC method, reduce-relay, overflow and validation families, plus the fifteenth dashboard uid. Metrics the harness workload cannot exercise -- erroring RPC, ledger-mismatch, TxQ overflow, and the lazily-created getobject_* instruments -- are listed in a not_asserted group the validator skips, rather than as assertions that would fail on a healthy node. The workflow's push trigger listed two globs matching nothing (include/xrpl/basics/Telemetry*.h, src/xrpld/app/misc/Telemetry*), so no C++ telemetry change ever triggered validation. Replaced with the paths the code actually lives in, including src/libxrpl/beast/insight/** for the insight export path the harness depends on. The four inert workflow_dispatch inputs are now labelled UNUSED rather than looking like working knobs. Docs: the workload README described a StatsD dirty-flag mechanism under a member name that does not exist, on a code path the harness never uses -- it sets [insight] server=otel, so gauges export through an observable-gauge callback every cycle. Adds the missing txq-burst phase, reconciles three different dashboard counts, and drops "posts summary to PR", which the workflow has no permission to do. The runbook's phase-10 section loses the last sampling_ratio reference (not a config key), gains a Regression Gate and CI subsection covering the gate that can fail CI, and its compose-logs command now names the workload compose file. cmake --preset default is left for a separate change: no CMakePresets.json is tracked, so it is wrong everywhere it appears. Also drops the dead exporter=otlp_http key the harness wrote into every node config, and stops capture_timings.py defaulting --profile to a profile that does not exist.
196 lines
12 KiB
JSON
196 lines
12 KiB
JSON
{
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"description": "Expected metric inventory for xrpld telemetry validation. Metric names have no prefix (the xrpld_ prefix was removed). beast::insight metrics are lowercased by formatName. Every name here was verified against its declaration in MetricsRegistry.cpp or include/xrpl/telemetry/GetObjectMetricNames.h and against a panel query under docker/telemetry/grafana/dashboards/. IMPORTANT: validate_telemetry.py has no notion of an optional metric — validate_metrics() iterates every group that has a \"metrics\" key and hard-fails any name with 0 Prometheus series after a 45 s poll. A metric is therefore listed only when the harness workload guarantees it will appear: observable gauges/counters whose callbacks Observe unconditionally (series exist at value 0), or push counters/histograms on a path every run exercises. Workload-gated and defect-gated names are recorded in the \"not_asserted\" group, which intentionally has no \"metrics\" key so the validator skips it. Only series existence is checked, never a value, except for the four bounds checks hardcoded in PARITY_VALUE_SANITY.",
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"spanmetrics": {
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"description": "SpanMetrics-derived RED metrics from the OTel Collector spanmetrics connector.",
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"metrics": [
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"span_calls_total",
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"span_duration_milliseconds_bucket",
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"span_duration_milliseconds_count",
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"span_duration_milliseconds_sum"
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],
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"required_labels": [
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"span_name",
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"status_code",
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"service_name",
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"span_kind"
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],
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"dimension_labels": [
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"command",
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"rpc_status",
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"consensus_mode",
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"local",
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"proposal_trusted",
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"validation_trusted",
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"tx_type",
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"ter_result",
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"stage",
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"txq_status",
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"close_time_correct",
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"consensus_state",
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"suppressed"
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],
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"_dimension_labels_note": "Bare label names as configured in otel-collector-config.yaml spanmetrics dimensions. Informational only (not asserted by the validator)."
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},
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"statsd_gauges": {
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"description": "beast::insight gauges exported via OTLP/HTTP to the collector (server=otel).",
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"metrics": [
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"ledgermaster_validated_ledger_age",
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"ledgermaster_published_ledger_age",
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"state_accounting_full_duration",
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"peer_finder_active_inbound_peers",
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"peer_finder_active_outbound_peers",
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"jobq_job_count"
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]
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},
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"statsd_counters": {
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"description": "beast::insight counters exported via OTLP/HTTP. The OTel Prometheus exporter appends _total to monotonic counters.",
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"metrics": ["rpc_requests_total", "ledger_fetches_total"]
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},
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"overlay_traffic": {
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"description": "Overlay traffic metrics (subset — full list has 45+ categories).",
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"metrics": [
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"total_bytes_in",
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"total_bytes_out",
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"total_messages_in",
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"total_messages_out"
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]
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},
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"phase9_nodestore": {
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"description": "Phase 9 NodeStore I/O observable gauge (MetricsRegistry via OTLP). Single metric with 'metric' label distinguishing sub-metrics.",
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"metrics": ["nodestore_state"]
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},
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"phase9_cache": {
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"description": "Phase 9 cache hit rate observable gauge (MetricsRegistry via OTLP). Single metric with 'metric' label.",
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"metrics": ["cache_metrics"]
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},
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"phase9_txq": {
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"description": "Phase 9 transaction queue observable gauge (MetricsRegistry via OTLP). Single metric with 'metric' label.",
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"metrics": ["txq_metrics"]
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},
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"phase9_rpc_method": {
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"description": "Phase 9 per-RPC-method counters and duration histogram (MetricsRegistry.cpp:351-357). rpc_method_errored_total is deliberately absent — see not_asserted below.",
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"metrics": [
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"rpc_method_started_total",
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"rpc_method_finished_total",
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"rpc_method_us"
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]
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},
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"phase9_job_queue": {
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"description": "Phase 9 job-queue counters and latency histograms (MetricsRegistry.cpp:360-366). Every xrpld job passes through these, so they populate under any workload.",
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"metrics": [
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"job_queued_total",
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"job_started_total",
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"job_finished_total",
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"job_queued_us",
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"job_running_us"
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]
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},
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"rpc_in_flight": {
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"description": "In-flight RPC gauge via the XRPL_METRIC_UPDOWN_ADD call-site macro (PerfLogImp.cpp, +1 rpcStart / -1 rpcEnd). UpDownCounter: no _total suffix.",
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"metrics": ["rpc_in_flight_requests"]
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},
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"phase9_objects": {
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"description": "Phase 9 counted object instances observable gauge (MetricsRegistry via OTLP).",
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"metrics": ["object_count"]
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},
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"phase9_load": {
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"description": "Phase 9 fee escalation and load factor observable gauge (MetricsRegistry via OTLP).",
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"metrics": ["load_factor_metrics"]
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},
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"parity_validation_agreement": {
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"description": "External dashboard parity: validation agreement percentages (MetricsRegistry).",
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"metrics": [
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"validation_agreement{metric=\"agreement_pct_1h\"}",
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"validation_agreement{metric=\"agreement_pct_24h\"}"
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]
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},
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"parity_validator_health": {
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"description": "External dashboard parity: validator health indicators (MetricsRegistry).",
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"metrics": [
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"validator_health{metric=\"amendment_blocked\"}",
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"validator_health{metric=\"unl_expiry_days\"}"
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]
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},
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"parity_peer_quality": {
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"description": "External dashboard parity: peer quality metrics (MetricsRegistry).",
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"metrics": [
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"peer_quality{metric=\"peer_latency_p90_ms\"}",
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"peer_quality{metric=\"peers_insane_count\"}"
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]
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},
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"parity_ledger_economy": {
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"description": "External dashboard parity: ledger economy metrics (MetricsRegistry).",
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"metrics": [
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"ledger_economy{metric=\"base_fee_xrp\"}",
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"ledger_economy{metric=\"transaction_rate\"}"
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]
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},
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"parity_state_tracking": {
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"description": "External dashboard parity: server state tracking (MetricsRegistry).",
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"metrics": ["state_tracking{metric=\"state_value\"}"]
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},
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"parity_counters": {
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"description": "External dashboard parity: monotonic counters (MetricsRegistry). validations_checked_total is incremented unconditionally at the top of NetworkOPsImp::recvValidation (NetworkOPs.cpp:2681), and run-full-validation.sh brings up a 5-node validator cluster, so inbound validations are guaranteed.",
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"metrics": [
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"ledgers_closed_total",
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"validations_sent_total",
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"validations_checked_total",
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"state_changes_total"
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]
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},
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"parity_storage": {
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"description": "External dashboard parity: storage detail metrics (MetricsRegistry).",
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"metrics": ["storage_detail{metric=\"stored_object_bytes\"}"]
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},
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"node_health_gauges": {
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"description": "Node-health observable gauges (MetricsRegistry.cpp:997, :1081, :1102, :1161). All four are registered with callbacks that fire on every periodic export and Observe unconditionally (build_info observes a literal 1; server_info and db_metrics read live services; complete_ledgers observes the parsed ledger range, which is non-empty once the cluster has closed a ledger), so their series exist regardless of workload shape.",
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"metrics": ["server_info", "build_info", "complete_ledgers", "db_metrics"]
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},
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"overlay_reduce_relay": {
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"description": "Transaction reduce-relay efficiency gauge (MetricsRegistry.cpp:1354, peer-network dashboard). Backed by Overlay::txMetrics(); TxMetrics::json() emits txr_selected_cnt / txr_suppressed_cnt / txr_not_enabled_cnt unconditionally (TxMetrics.cpp:121-127), so the gauge always reports at least the selected_peers series.",
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"metrics": ["reduce_relay_metrics"]
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},
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"overlay_overflow": {
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"description": "Job-queue transaction overflow total (MetricsRegistry.cpp:609, job-queue dashboard). An ObservableCounter that reads Overlay::getJqTransOverflow() and Observes unconditionally, so the series exists at value 0 even when no overflow occurs.",
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"metrics": ["jq_trans_overflow_total"]
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},
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"validation_lifetime_counters": {
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"description": "Lifetime validation agreement/miss ObservableCounters (MetricsRegistry.cpp:1636, :1658, validator-health dashboard). Both callbacks reconcile the tracker and Observe unconditionally, so the series exist even on a node that has not yet agreed or missed (value 0). Only existence is asserted, never the value — validation_missed_total legitimately dominates on a non-validating node.",
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"metrics": ["validation_agreements_total", "validation_missed_total"]
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},
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"not_asserted": {
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"description": "Emitted-and-dashboarded metrics deliberately left unasserted because they are workload-gated or defect-gated: the harness workload cannot guarantee they appear, and a check that fails on a healthy run is worse than no check. This group has no \"metrics\" key, so validate_telemetry.py skips it (validate_metrics iterates category_data.get(\"metrics\", [])). Promote an entry into an asserted group only after the workload is changed to guarantee it.",
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"metrics_excluded": {
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"rpc_method_errored_total": "MetricsRegistry.cpp:354, push counter — needs an RPC that returns an error. rpc_load_generator.py issues only well-formed server_info / fee / ledger / ripple_path_find calls, so no series may ever be created.",
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"ledger_history_mismatch_total": "MetricsRegistry.cpp:377, incremented only from LedgerHistory.cpp:332 on a built-vs-validated ledger mismatch. On a healthy run it never fires — asserting it would mean asserting a defect.",
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"txq_expired_total": "MetricsRegistry.cpp:379, incremented only at TxQ.cpp:1428 when a queued tx expires past its LastLedgerSequence. Requires sustained fee escalation plus expiry; the CI job drives rpc_load_generator/tx_submitter directly with --rpc-rate/--tx-tps and never runs the workload-profiles.json txq-burst phase, so this is not reachable in CI.",
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"txq_dropped_total": "MetricsRegistry.cpp:381, incremented only at TxQ.cpp:1302 / :1347 on queue-full admission refusal. Same reason as txq_expired_total.",
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"getobject_rejected_total": "GetObjectMetricNames.h:81, emitted from PeerImp.cpp:2725/:2743 only for a TMGetObjectByHash message refused as oversize or malformed_ledgerhash. A cooperating cluster never sends one.",
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"getobject_request_objects": "GetObjectMetricNames.h:86, emitted from PeerImp.cpp:2926 only while serving an inbound TMGetObjectByHash. The XRPL_METRIC_* macros create their instrument lazily on first use (MetricMacros.h:174-285), so no series exists until a peer actually requests objects by hash — which a 5-node cluster started at genesis and already in sync may never do.",
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"getobject_lookup_us": "GetObjectMetricNames.h:95, PeerImp.cpp:2929. Same lazy-creation and same inbound-request gate as getobject_request_objects.",
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"getobject_lookups_total": "GetObjectMetricNames.h:100, PeerImp.cpp:2949/:2956. Same gate.",
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"getobject_charge": "GetObjectMetricNames.h:105, PeerImp.cpp:2931. Same gate."
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}
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},
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"grafana_dashboards": {
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"description": "All 15 Grafana dashboards provisioned on disk under docker/telemetry/grafana/dashboards/ (UID == file stem for every one). validate_dashboards() checks that each UID resolves via GET /api/dashboards/uid/<uid> and reports its panel count — it verifies provisioning and loadability, not panel data. log-derived-insights is included on that basis even though its panels are Loki-backed and CI runs with --skip-loki: the dashboard itself must still provision cleanly. Its panel data is not asserted anywhere.",
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"uids": [
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"rpc-performance",
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"transaction-overview",
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"consensus-health",
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"ledger-operations",
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"peer-network",
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"peer-quality",
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"fee-market",
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"job-queue",
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"validator-health",
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"node-health",
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"network-traffic",
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"rpc-pathfinding",
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"overlay-traffic-detail",
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"ledger-data-sync",
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"log-derived-insights"
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]
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}
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}
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