Proof: observed the deployed stats fix restart app pods once when concurrent startup index creation hit PostgreSQL pg_class_relname_nsp_index; added an idempotent schema-index helper that treats concurrent already-created index errors as success and added regression tests for the exact duplicate-index race and unrelated duplicate errors. Revalidated targeted stats/schema tests, full npm test, and operator dashboard bundle build.
Assumptions: PostgreSQL error 23505 on pg_class_relname_nsp_index and 42P07 during CREATE INDEX IF NOT EXISTS mean another repo-owned process created the same schema object concurrently, so continuing is equivalent to the intended idempotent schema state.
Still fake: this does not remove already-written duplicate statistic rows with malformed historical stat_id strings; the loader de-dupes them at read time, and venue-native settlement truth remains limited to existing durable evidence.
Proof: reproduced live quote lifecycle statistics refresh stalling while persisted subject and window counts remained nonzero; fixed refresh to incrementally scan recent durable source evidence from the retained subject table, canonicalized statistic window ids, de-duped duplicate persisted grain/window rows on load, and validated with targeted stats/dashboard tests, full npm test, and dashboard bundle build.
Assumptions: quote lifecycle statistics are durable retained unique quote subjects, and a 5 minute source overlap is enough to catch ordinary insert/refresh races without re-reading the whole retained history on every dashboard refresh.
Still fake: this does not create venue-native fill truth where no durable settlement evidence exists, does not repair WebSocket client backpressure from high live quote volume, and does not reconstruct pruned raw quote detail.
Proof: replaced Node-side full lifecycle statistics refresh with PostgreSQL set-based subject upsert and aggregation, added bounded zero-window chart filling so missing 5m/hour windows are visible, and verified with targeted stats/UI tests, full npm test, and operator dashboard bundle build.
Assumptions: persisted quote statistics represent retained unique lifecycle subjects, not every raw upstream quote message; raw firehose volume remains separately retained and can exceed unique lifecycle counts by orders of magnitude.
Still fake: this does not repair stale upstream market/inventory ingestion or reconstruct already-pruned raw quote detail; fee-aware PnL and venue-native fill truth remain out of scope.
Proof: added persisted quote_lifecycle_stat_subjects snapshots, refreshed statistics from retained per-quote subjects, preserved completed/attributed execution evidence during lifecycle retention, and wired successful lifecycle evidence into the dashboard trade funnel; verified with targeted lifecycle/dashboard tests, full npm test, and operator dashboard bundle build.
Assumptions: detailed successful trade rows already deleted by prior retention cannot be reconstructed from aggregate rollups without faking quote-level settlement evidence; the new subject table starts preserving surviving and future quote evidence after deployment.
Still fake: fee-aware realized PnL and venue-native fill truth beyond retained settlement/inventory evidence remain out of scope; already-pruned detailed success rows remain unrecoverable.
Proof: Added PostgreSQL-backed quote lifecycle statistics for all-time, monthly, weekly, daily, hourly, and five-minute windows; wired authenticated dashboard API, live WebSocket counters, history-writer refresh before pruning, and dashboard controls; validated with targeted tests, full npm test, and operator dashboard build.
Assumptions: Unique quote counts are keyed by durable quote_id, quote windows use the first durable lifecycle timestamp in UTC with Monday UTC weeks, and missing identifiers or timestamps are represented as unavailable evidence instead of fabricated quote identities.
Still fake: Fee-aware PnL, cashflow, oracle-deviation, size distribution, matched-only analytics, and reconstruction of already-pruned detail remain outside this turn.
