Files
olp/lib/audit-query.mjs
T
5288493f19 feat: D81 — dashboard-data quota_v2 shape + models-registry schema_version (Phase 5) (#53)
Authority citations (required per CLAUDE.md § Hard requirements):
  1. ADR 0012 D81 — the D-day being implemented (Phase 5 charter, audit-query
     + dashboard-data extension row in § D-day table)
  2. ADR 0013 Rule 5 — schema_version in models-registry.json mandate. D80
     used a local constant QUOTA_SCHEMA_VERSION = '2026-05-26' (reviewer nit
     #4 at PR #52). D81 folds in Rule 5 compliance: adds quota_probe.schema_version
     to models-registry.json and has anthropic.mjs read from there with the
     constant as fallback via _resolveSchemaVersion().
  3. ADR 0008 — the audit-query design being amended (Amendment 1 added at D81
     to docs/adr/0008-dashboard-and-audit-query.md documenting: quota_probe in
     registry, aggregateProviderQuota() API shape, quota_v2 key, deprecation
     timeline for legacy quota key).
  4. D80 PR #52 (commit 82d2e1c) — producer of the quotaStatus() shape that
     D81 normalizes. The 13-field anthropic-ratelimit-unified-* shape from
     _parseRateLimitHeaders() is consumed by _normalizeAnthropicQuota() here.

Changes (A–G per D81 spec):

A. models-registry.json — new top-level quota_probe key
   - quota_probe.schema_version = '2026-05-26'
   - quota_probe.anthropic.{ source, endpoint, fields_pinned[13] }
   - fields_pinned is load-bearing for drift detection (ADR 0013 Rule 5)

B. lib/providers/anthropic.mjs — _resolveSchemaVersion() helper
   - Reads quota_probe.schema_version from modelsRegistryRaw at call time
   - Falls back to QUOTA_SCHEMA_VERSION constant if registry field absent
   - quotaStatus() now uses _resolveSchemaVersion() instead of raw constant

C. lib/audit-query.mjs — aggregateProviderQuota() export
   - Normalizes per-provider quotaStatus() returns to ProviderQuotaEntry shape
   - Live → { status:'live', utilization, reset, representative_claim, … }
   - Stale → { status:'stale', … }
   - null return → { status:'unavailable', reason:'no public quota api or probe disabled' }
   - throw → { status:'unavailable', reason:<error.message> }
   - getQuotaStatus injection point for full test isolation (D81 §F)

D. server.mjs handleManagementDashboardData — quota_v2 added
   - Calls auditAggregateProviderQuota({ providers: loadedProviders })
   - Both legacy quota (backwards compat) and quota_v2 in response
   - Graceful degradation: quota_v2 failure → warn log + empty array, rest of
     payload unaffected

E. server.mjs handleManagementQuota — quota_v2 added (mirrors D)

F. test-features.mjs — Suite 37 (7 new tests)
   - 37a: live shape normalization (status=live, utilization, reset, etc.)
   - 37b: stale shape (status=stale)
   - 37c: null returns → unavailable entries
   - 37d: throw path → unavailable with reason
   - 37e: mixed providers (live + unavailable)
   - 37f: getQuotaStatus injection verified
   - 37g: models-registry.json has quota_probe.schema_version + 13 fields_pinned

G. docs/adr/0008-dashboard-and-audit-query.md — Amendment 1 added

Test delta: 720 → 727 (+7), 0 failures.

Live quota_v2 JSON sample (illustrative — probe is opt-in per ADR 0013 Rule 4;
real values require quota_probe_enabled:true + valid OAuth credentials):

  GET /v0/management/dashboard-data (owner-only)
  {
    "quota_v2": [
      {
        "provider": "anthropic",
        "status": "live",
        "schema_version": "2026-05-26",
        "last_fresh_at": 1748300000000,
        "utilization": { "5h": 0.49, "7d": 0.31 },
        "reset": { "5h": 1748290000, "7d": 1748500000, "overall": 1748300000, "overage": null },
        "representative_claim": "five_hour",
        "fallback_percentage": 0.5,
        "overage": { "status": "rejected", "disabled_reason": "org_level_disabled_until" },
        "raw_available": true
      },
      {
        "provider": "openai",
        "status": "unavailable",
        "reason": "no public quota api or probe disabled",
        "schema_version": null,
        "last_fresh_at": null,
        "utilization": null,
        "reset": null,
        "representative_claim": null,
        "fallback_percentage": null,
        "overage": null,
        "raw_available": false
      }
    ]
  }

When probe is disabled (default), anthropic entry also returns unavailable:
  { "provider": "anthropic", "status": "unavailable",
    "reason": "no public quota api or probe disabled", ... }

NOT modified: dashboard.html (D82), codex.mjs, mistral.mjs, any quotaStatus()
return shape from anthropic.mjs (D80 contract unchanged — normalization is in
the new audit-query layer only).

Co-authored-by: dtzp555 <dtzp555@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-26 17:06:41 +10:00

668 lines
24 KiB
JavaScript

/**
* lib/audit-query.mjs — OLP audit ndjson aggregate query layer (Phase 3 / D49)
*
* Authority: ADR 0008 § 4 (query API surface) + § 5 (rotation file naming) +
* § 3 (storage layout). Reads `~/.olp/logs/audit.ndjson` (live) +
* `audit-YYYY-MM-DD.ndjson` (rotated dailies) and returns aggregate
* summaries shaped for the Dashboard endpoints (D50).
*
* Query model (ADR 0008 Lane 2 = A): in-memory scan per request. O(N) where
* N = total lines in the date range. Family-scale acceptable; SQLite hybrid
* (ADR 0007 § 13) is the documented forward path when N+queries get slow.
*
* PII discipline (ADR 0007 § 8 + ADR 0008 § 4.3): event shape is hash + shape
* only — no message content, no response content, no raw tokens. This module
* MUST NOT introduce derived fields that reveal content. Every aggregate
* function asserts the input event has the expected shape but does NOT inspect
* or relay message bodies.
*
* What is NOT in this module (intentional split):
* - Daily rotation trigger (D52, lib/audit.mjs extension)
* - Server endpoints that consume these queries (D50, server.mjs)
* - Dashboard HTML / DOM render (D51, dashboard.html)
*/
import { readFileSync, readdirSync, existsSync } from 'node:fs';
import { join } from 'node:path';
import { homedir } from 'node:os';
// ── Constants ─────────────────────────────────────────────────────────────
const DEFAULT_OLP_HOME = join(homedir(), '.olp');
const OLP_HOME_ENV = 'OLP_HOME';
const LIVE_AUDIT_FILE = 'audit.ndjson';
const ROTATED_FILE_PATTERN = /^audit-(\d{4}-\d{2}-\d{2})\.ndjson$/;
// ── Path helpers ──────────────────────────────────────────────────────────
function _resolveOlpHome(opts) {
if (opts?.olpHome) return opts.olpHome;
if (process.env[OLP_HOME_ENV]) return process.env[OLP_HOME_ENV];
return DEFAULT_OLP_HOME;
}
function _logsDir(opts) {
return join(_resolveOlpHome(opts), 'logs');
}
/**
* Returns the UTC-date string (YYYY-MM-DD) for an ISO-8601 timestamp.
*/
function _utcDateString(isoTs) {
if (typeof isoTs !== 'string' || isoTs.length < 10) return null;
return isoTs.slice(0, 10);
}
/**
* Returns the UTC-date string for an epoch-ms.
*/
function _utcDateFromMs(ms) {
return new Date(ms).toISOString().slice(0, 10);
}
/**
* Inclusive range of UTC date strings from startDate to endDate (both
* YYYY-MM-DD). Returns the list in ascending order. Safe for spans up to
* several years (no upper bound enforced — caller's responsibility).
*/
function _dateRange(startDate, endDate) {
const dates = [];
const cur = new Date(`${startDate}T00:00:00Z`);
const end = new Date(`${endDate}T00:00:00Z`);
while (cur <= end) {
dates.push(cur.toISOString().slice(0, 10));
cur.setUTCDate(cur.getUTCDate() + 1);
}
return dates;
}
// ── File enumeration ──────────────────────────────────────────────────────
/**
* Discover audit files in the logs directory. Returns a Map from
* date-string ('YYYY-MM-DD' or 'live' for the un-rotated file) to absolute
* file path. The 'live' entry is `audit.ndjson` if present; date-string
* entries are the rotated daily files matching `audit-YYYY-MM-DD.ndjson`.
*
* Returns an empty Map if the logs directory does not exist or is empty.
* Caller responsible for date filtering.
*
* @param {object} [opts] - { olpHome }
* @returns {Map<string, string>} date-string → absolute file path
*/
export function discoverAuditFiles(opts = {}) {
const dir = _logsDir(opts);
const out = new Map();
if (!existsSync(dir)) return out;
let entries;
try { entries = readdirSync(dir); } catch { return out; }
for (const name of entries) {
if (name === LIVE_AUDIT_FILE) {
out.set('live', join(dir, name));
continue;
}
const m = ROTATED_FILE_PATTERN.exec(name);
if (m) {
out.set(m[1], join(dir, name));
}
}
return out;
}
// ── Line-level read + parse ───────────────────────────────────────────────
/**
* Parse a single ndjson line. Returns the event object on success, or
* null on parse error. Caller logs warn for null returns.
*/
function _parseLine(line) {
if (!line) return null;
try {
const obj = JSON.parse(line);
if (typeof obj !== 'object' || obj === null) return null;
return obj;
} catch {
return null;
}
}
/**
* Read all events from a single file, skipping malformed lines.
* Logs warn (via logEvent override or console) for each malformed line so
* a corrupted day doesn't kill the query.
*
* @param {string} path
* @param {(level: string, event: string, data?: object) => void} [logEvent]
* @returns {Array<object>} parsed events
*/
function _readFileEvents(path, logEvent) {
let raw;
try {
raw = readFileSync(path, 'utf-8');
} catch (err) {
// Re-throw read errors (EACCES, ENOENT during race) so the dashboard
// endpoint surfaces 500 with diagnostic per ADR 0008 § 4.4.
throw new Error(`audit_query_read_failed: ${path}: ${err?.message ?? err}`);
}
const lines = raw.split('\n');
const events = [];
let skipped = 0;
for (let i = 0; i < lines.length; i++) {
const line = lines[i].trim();
if (!line) continue;
const ev = _parseLine(line);
if (ev === null) {
skipped++;
continue;
}
events.push(ev);
}
if (skipped > 0 && logEvent) {
logEvent('warn', 'audit_query_skip_malformed', { path, skipped });
}
return events;
}
// ── Public API ────────────────────────────────────────────────────────────
/**
* Iterate all audit events in [startMs, endMs). Walks the rotated daily
* files whose date overlaps the range + today's live audit.ndjson. Within
* each file, includes only events whose `ts` falls in the window.
*
* Per ADR 0008 § 4.2: window semantics are half-open [start, end).
*
* @param {object} args
* @param {number} args.startMs - epoch-ms inclusive lower bound
* @param {number} args.endMs - epoch-ms exclusive upper bound
* @param {string} [args.olpHome]
* @param {(level: string, event: string, data?: object) => void} [args.logEvent]
* @yields {object} parsed audit event
*/
export function* readAuditWindow({ startMs, endMs, olpHome, logEvent } = {}) {
if (typeof startMs !== 'number' || typeof endMs !== 'number') {
throw new Error('readAuditWindow: startMs and endMs (numbers) are required');
}
if (endMs <= startMs) return; // empty window
const files = discoverAuditFiles({ olpHome });
if (files.size === 0) return;
// Walk all dates in [startMs, endMs) plus the live file (today).
const startDate = _utcDateFromMs(startMs);
const endDate = _utcDateFromMs(endMs - 1); // endMs is exclusive
const dateList = _dateRange(startDate, endDate);
for (const date of dateList) {
const path = files.get(date);
if (!path) continue;
const events = _readFileEvents(path, logEvent);
for (const ev of events) {
const tsStr = ev.ts;
if (typeof tsStr !== 'string') continue;
const tsMs = Date.parse(tsStr);
if (Number.isNaN(tsMs)) continue;
if (tsMs >= startMs && tsMs < endMs) yield ev;
}
}
// Live file (today) — always check; date may overlap window's end.
const livePath = files.get('live');
if (livePath) {
const events = _readFileEvents(livePath, logEvent);
for (const ev of events) {
const tsStr = ev.ts;
if (typeof tsStr !== 'string') continue;
const tsMs = Date.parse(tsStr);
if (Number.isNaN(tsMs)) continue;
if (tsMs >= startMs && tsMs < endMs) yield ev;
}
}
}
/**
* Aggregate request shape over a rolling window ending at "now".
*
* Returns:
* {
* window: { startMs, endMs },
* request_count, status_2xx, status_4xx, status_5xx,
* by_provider: { [providerKey]: { count, cache_hit, cache_miss, cache_bypass, cache_streaming_attached, fallback_count } },
* by_owner_tier: { owner: N, guest: N, anonymous: N },
* by_path: { '/v1/chat/completions': N, '/v1/models': N, ... },
* median_latency_ms, p95_latency_ms,
* }
*
* Per ADR 0008 § 4.1 + § 4.3 PII discipline: aggregates count + categorical
* breakdowns only, NEVER message content.
*
* @param {object} args
* @param {number} args.windowMs - duration in ms; window = [now - windowMs, now)
* @param {string} [args.olpHome]
* @param {(level, event, data?) => void} [args.logEvent]
* @param {() => number} [args._nowFn] - injectable for testing
*/
export function aggregateRequests({ windowMs, olpHome, logEvent, _nowFn } = {}) {
if (typeof windowMs !== 'number' || windowMs <= 0) {
throw new Error('aggregateRequests: windowMs (positive number) is required');
}
const now = (_nowFn ?? Date.now)();
const startMs = now - windowMs;
const endMs = now;
const result = {
window: { startMs, endMs },
request_count: 0,
status_2xx: 0,
status_4xx: 0,
status_5xx: 0,
by_provider: {},
by_owner_tier: { owner: 0, guest: 0, anonymous: 0 },
by_path: {},
median_latency_ms: 0,
p95_latency_ms: 0,
};
const latencies = [];
for (const ev of readAuditWindow({ startMs, endMs, olpHome, logEvent })) {
result.request_count++;
// Status code bucket
const sc = typeof ev.status_code === 'number' ? ev.status_code : 0;
if (sc >= 200 && sc < 300) result.status_2xx++;
else if (sc >= 400 && sc < 500) result.status_4xx++;
else if (sc >= 500) result.status_5xx++;
// By provider
if (typeof ev.provider === 'string' && ev.provider.length > 0) {
const p = result.by_provider[ev.provider] ??= {
count: 0, cache_hit: 0, cache_miss: 0, cache_bypass: 0, cache_streaming_attached: 0, fallback_count: 0,
};
p.count++;
if (ev.cache_status === 'hit') p.cache_hit++;
else if (ev.cache_status === 'miss') p.cache_miss++;
else if (ev.cache_status === 'bypass') p.cache_bypass++;
// D58 — ADR 0005 Amendment 8 §11 + lib/audit.mjs cache_status enum: streaming
// singleflight joiners (attached) share the source spawn but did not hit a
// cache. Tracked separately so `count` and `cache_hit + cache_miss +
// cache_bypass + cache_streaming_attached` reconcile.
else if (ev.cache_status === 'streaming_attached') p.cache_streaming_attached++;
if (typeof ev.fallback_hops === 'number' && ev.fallback_hops > 0) p.fallback_count++;
}
// By owner tier
if (ev.owner_tier === 'owner') result.by_owner_tier.owner++;
else if (ev.owner_tier === 'guest') result.by_owner_tier.guest++;
else result.by_owner_tier.anonymous++;
// By path
if (typeof ev.path === 'string' && ev.path.length > 0) {
result.by_path[ev.path] = (result.by_path[ev.path] ?? 0) + 1;
}
// Latency
if (typeof ev.latency_ms === 'number' && ev.latency_ms >= 0) {
latencies.push(ev.latency_ms);
}
}
// Median + p95 over sorted latencies
if (latencies.length > 0) {
latencies.sort((a, b) => a - b);
const midIdx = Math.floor(latencies.length / 2);
result.median_latency_ms = latencies.length % 2 === 0
? Math.round((latencies[midIdx - 1] + latencies[midIdx]) / 2)
: latencies[midIdx];
const p95Idx = Math.min(latencies.length - 1, Math.floor(latencies.length * 0.95));
result.p95_latency_ms = latencies[p95Idx];
}
return result;
}
/**
* Top-N fallback chains by trigger count in window. A "chain" is the
* `tried_providers` array from an event with fallback_hops > 0. Returns
* sorted array descending by count; ties broken by earliest first_seen.
*
* [{ chain: ['anthropic', 'openai'], count: 42, first_seen, last_seen }, ...]
*
* @param {object} args
* @param {number} args.windowMs
* @param {number} [args.limit=10]
* @param {string} [args.olpHome]
* @param {(level, event, data?) => void} [args.logEvent]
* @param {() => number} [args._nowFn]
*/
export function topFallbackChains({ windowMs, limit = 10, olpHome, logEvent, _nowFn } = {}) {
if (typeof windowMs !== 'number' || windowMs <= 0) {
throw new Error('topFallbackChains: windowMs (positive number) is required');
}
const now = (_nowFn ?? Date.now)();
const startMs = now - windowMs;
const endMs = now;
// Map chain-key (joined string) → aggregate
const chains = new Map();
for (const ev of readAuditWindow({ startMs, endMs, olpHome, logEvent })) {
if (typeof ev.fallback_hops !== 'number' || ev.fallback_hops <= 0) continue;
if (!Array.isArray(ev.tried_providers) || ev.tried_providers.length < 2) continue;
const key = ev.tried_providers.join('→');
const entry = chains.get(key);
const ts = typeof ev.ts === 'string' ? ev.ts : null;
if (entry === undefined) {
chains.set(key, {
chain: [...ev.tried_providers],
count: 1,
first_seen: ts,
last_seen: ts,
});
} else {
entry.count++;
if (ts && (!entry.first_seen || ts < entry.first_seen)) entry.first_seen = ts;
if (ts && (!entry.last_seen || ts > entry.last_seen)) entry.last_seen = ts;
}
}
// Sort desc by count, ascending by first_seen on ties
const arr = [...chains.values()];
arr.sort((a, b) => {
if (b.count !== a.count) return b.count - a.count;
if (a.first_seen && b.first_seen) return a.first_seen < b.first_seen ? -1 : a.first_seen > b.first_seen ? 1 : 0;
return 0;
});
return arr.slice(0, limit);
}
/**
* Daily series of request_count + median latency_ms + by_provider over N
* UTC days ending today. Sparse-fills zero-request days. Returns ascending
* by date:
*
* [{ date: '2026-05-22', request_count, median_latency_ms, by_provider }, ...]
*
* by_provider is { [providerKey]: count } per day.
*
* @param {object} args
* @param {number} args.days
* @param {string} [args.olpHome]
* @param {(level, event, data?) => void} [args.logEvent]
* @param {() => number} [args._nowFn]
*/
export function spendTrendDaily({ days, olpHome, logEvent, _nowFn } = {}) {
if (typeof days !== 'number' || days <= 0) {
throw new Error('spendTrendDaily: days (positive number) is required');
}
const now = (_nowFn ?? Date.now)();
// Compute the N UTC dates ending today (inclusive). Semantics: "last N
// calendar dates ending today" — NOT "events within a rolling N*86400-ms
// window ago" (the latter would span N+1 distinct UTC dates and produce
// off-by-one buckets at non-midnight call times).
const dates = [];
for (let i = days - 1; i >= 0; i--) {
dates.push(_utcDateFromMs(now - i * 86400 * 1000));
}
// Window covers the start of the first date through "now" so readAuditWindow
// sees every event whose ts falls in any of the N dates' UTC days.
const startMs = Date.parse(`${dates[0]}T00:00:00Z`);
const endMs = now;
// Bucket by UTC date
const buckets = new Map();
for (const ev of readAuditWindow({ startMs, endMs, olpHome, logEvent })) {
const date = _utcDateString(ev.ts);
if (!date) continue;
const b = buckets.get(date) ?? { request_count: 0, latencies: [], by_provider: {} };
b.request_count++;
if (typeof ev.latency_ms === 'number') b.latencies.push(ev.latency_ms);
if (typeof ev.provider === 'string' && ev.provider.length > 0) {
b.by_provider[ev.provider] = (b.by_provider[ev.provider] ?? 0) + 1;
}
buckets.set(date, b);
}
// Sparse-fill using the precomputed dates list (preserves ascending order)
return dates.map(date => {
const b = buckets.get(date);
if (b) {
b.latencies.sort((a, b) => a - b);
const midIdx = Math.floor(b.latencies.length / 2);
const median = b.latencies.length === 0 ? 0
: b.latencies.length % 2 === 0
? Math.round((b.latencies[midIdx - 1] + b.latencies[midIdx]) / 2)
: b.latencies[midIdx];
return {
date,
request_count: b.request_count,
median_latency_ms: median,
by_provider: b.by_provider,
};
}
return { date, request_count: 0, median_latency_ms: 0, by_provider: {} };
});
}
/**
* Normalize a single quotaStatus() return value from the anthropic plugin into
* the dashboard-friendly shape (D81 / ADR 0008 Amendment).
* Provider-specific: called only for 'anthropic'. Returns null if the raw
* shape is absent or malformed.
*
* @internal — used by aggregateProviderQuota()
*/
function _normalizeAnthropicQuota(raw) {
if (!raw || typeof raw !== 'object') return null;
const f = raw.fields ?? {};
return {
schema_version: raw.schemaVersion ?? null,
last_fresh_at: raw.stale ? (raw.last_fresh_at ?? null) : (raw.probedAt ?? null),
utilization: {
'5h': f.utilization_5h ?? null,
'7d': f.utilization_7d ?? null,
},
reset: {
'5h': f.reset_5h ?? null,
'7d': f.reset_7d ?? null,
overall: f.reset ?? null,
overage: f.overage_reset ?? null,
},
representative_claim: f.representative_claim ?? null,
fallback_percentage: f.fallback_percentage ?? null,
overage: {
status: f.overage_status ?? null,
disabled_reason: f.overage_disabled_reason ?? null,
},
raw_available: (typeof raw.raw === 'object' && raw.raw !== null),
};
}
/**
* Aggregate per-provider quota status into a normalized dashboard-friendly
* shape. This is the D81 Phase 5 extension of lib/audit-query.mjs per
* ADR 0008 Amendment (D81).
*
* For each loaded provider, calls quotaStatus() (already cached at the plugin
* layer per ADR 0013 Rule 3) and normalizes to a consistent shape. Providers
* returning null (codex, mistral) produce a { status: 'unavailable' } row.
*
* Audit-query stays in-memory scan per ADR 0008 Lane 2 = A. This function
* does NOT scan the ndjson files; it calls the live provider plugins.
*
* Authority: ADR 0008 Amendment (D81) + ADR 0012 D81 + ADR 0013 Rule 5.
*
* @param {object} args
* @param {Map<string, object>} args.providers - Map of provider name → plugin object
* @param {(name: string) => Promise<object|null>} [args.getQuotaStatus] - injectable for tests;
* defaults to calling providers.get(name).quotaStatus?.()
* @returns {Promise<Array<{
* provider: string,
* status: 'live' | 'stale' | 'unavailable' | 'disabled',
* reason?: string,
* schema_version: string | null,
* last_fresh_at: number | null,
* utilization: { '5h': number|null, '7d': number|null } | null,
* reset: { '5h': number|null, '7d': number|null, overall: number|null, overage: number|null } | null,
* representative_claim: string | null,
* fallback_percentage: number | null,
* overage: { status: string|null, disabled_reason: string|null } | null,
* raw_available: boolean,
* }>>}
*/
export async function aggregateProviderQuota({
providers,
getQuotaStatus,
} = {}) {
if (!providers) {
throw new Error('aggregateProviderQuota: providers (Map) is required');
}
// Normalize the providers argument — accept both Map and plain object.
const providerEntries = (providers instanceof Map)
? [...providers.entries()]
: Object.entries(providers);
const results = [];
for (const [name, plugin] of providerEntries) {
// Default getter: call the plugin's quotaStatus() if present.
const fetchQuota = getQuotaStatus
? () => getQuotaStatus(name)
: () => (typeof plugin?.quotaStatus === 'function' ? plugin.quotaStatus(null) : Promise.resolve(null));
let rawResult = null;
let callError = null;
try {
rawResult = await fetchQuota();
} catch (err) {
callError = err?.message ?? String(err);
}
if (callError !== null) {
// quotaStatus() threw — treat as error / unavailable.
results.push({
provider: name,
status: 'unavailable',
reason: callError,
schema_version: null,
last_fresh_at: null,
utilization: null,
reset: null,
representative_claim: null,
fallback_percentage: null,
overage: null,
raw_available: false,
});
continue;
}
if (rawResult === null || rawResult === undefined) {
// Plugin returned null: either disabled, no quota API, or no credentials.
results.push({
provider: name,
status: 'unavailable',
reason: 'no public quota api or probe disabled',
schema_version: null,
last_fresh_at: null,
utilization: null,
reset: null,
representative_claim: null,
fallback_percentage: null,
overage: null,
raw_available: false,
});
continue;
}
// quotaStatus() returned a non-null shape — normalize.
// Currently only 'anthropic' returns a structured shape; other providers
// returning structured data will work if their shape is compatible.
const isStale = rawResult.stale === true;
const normalized = _normalizeAnthropicQuota(rawResult);
if (normalized === null) {
// Shape was present but unrecognizable.
results.push({
provider: name,
status: 'unavailable',
reason: 'unrecognized quota shape',
schema_version: null,
last_fresh_at: null,
utilization: null,
reset: null,
representative_claim: null,
fallback_percentage: null,
overage: null,
raw_available: false,
});
continue;
}
results.push({
provider: name,
status: isStale ? 'stale' : 'live',
...normalized,
});
}
return results;
}
/**
* Audit-derived cache hit rate over the window. Differs from
* `cacheStore.stats()` in server.mjs: that is the live in-process counter;
* this is the audit-side rate scoped to the rolling window.
*
* { window: { startMs, endMs }, total, hit, miss, bypass, streaming_attached, hit_rate, by_provider }
*
* `streaming_attached` (D58, ADR 0005 Amendment 8 §11): D58 streaming
* singleflight joiners did not hit a literal cache, so they are excluded
* from both numerator AND denominator of `hit_rate`. Tracked separately
* so the count reconciles with `total = hit + miss + bypass + streaming_attached`.
*
* @param {object} args
* @param {number} args.windowMs
* @param {string} [args.olpHome]
* @param {(level, event, data?) => void} [args.logEvent]
* @param {() => number} [args._nowFn]
*/
export function cacheHitRateWindow({ windowMs, olpHome, logEvent, _nowFn } = {}) {
if (typeof windowMs !== 'number' || windowMs <= 0) {
throw new Error('cacheHitRateWindow: windowMs (positive number) is required');
}
const now = (_nowFn ?? Date.now)();
const startMs = now - windowMs;
const endMs = now;
let total = 0, hit = 0, miss = 0, bypass = 0, streaming_attached = 0;
const by_provider = {};
for (const ev of readAuditWindow({ startMs, endMs, olpHome, logEvent })) {
if (ev.cache_status === null || ev.cache_status === undefined) continue;
total++;
const p = typeof ev.provider === 'string' && ev.provider.length > 0 ? ev.provider : '__unknown__';
const pe = by_provider[p] ??= { total: 0, hit: 0, miss: 0, bypass: 0, streaming_attached: 0, hit_rate: 0 };
pe.total++;
if (ev.cache_status === 'hit') { hit++; pe.hit++; }
else if (ev.cache_status === 'miss') { miss++; pe.miss++; }
else if (ev.cache_status === 'bypass') { bypass++; pe.bypass++; }
// D58 — ADR 0005 Amendment 8 §11: streaming singleflight joiners.
// Excluded from hit_rate numerator + denominator (they did not hit a
// literal cache); tracked so `total` reconciles.
else if (ev.cache_status === 'streaming_attached') { streaming_attached++; pe.streaming_attached++; }
}
// Compute hit_rate per provider + overall (excludes bypass from denominator
// since bypass-by-cache_control is intentional non-cacheable, not a cache miss).
for (const p of Object.values(by_provider)) {
const denom = p.hit + p.miss;
p.hit_rate = denom > 0 ? p.hit / denom : 0;
}
const overallDenom = hit + miss;
const hit_rate = overallDenom > 0 ? hit / overallDenom : 0;
return {
window: { startMs, endMs },
total, hit, miss, bypass, streaming_attached, hit_rate, by_provider,
};
}