# Migrate storage from SQLite to PostgreSQL — full dashboard cutover Migrates Fusion's storage layer to the embedded PostgreSQL `AsyncDataLayer` (the default backend) and **completes the satellite-store + feature cutover** so every dashboard and Command Center surface works in PG mode. ## Status — every surface works in embedded-PG mode Verified live against a running embedded-Postgres dashboard (all **200**, zero 5xx) and gate-tested (**23 files / 99 tests** on embedded PG, plus engine-core 294 and ci-shape 63 in the blocking merge gate; core/engine/cli/dashboard typecheck clean). | Area | Surfaces | State | |---|---|---| | Satellite stores | workflows, todos, insights, research, missions, goals, mailbox | ✅ | | Views | artifacts, documents, evals | ✅ | | Command Center | activity, productivity, team, tokens, tools, **workflows**, **github**, **signals**, **plugin-activations**, **live** (all 10) | ✅ | | Run execution | insight generation, research run execution | ✅ (store-path; AI step needs a provider) | | Live updates | SSE push for mission/research/insight events | ✅ | | Workflow editing | create / update / delete / select (+ id counter) | ✅ | | Engine | mission autopilot, incident-signal ingestion, regression storm-guard, agent wake-on-message | ✅ | | Core | tasks, agents, secrets, automations, memory, chat, usage, PRs, git | ✅ | ## Approach Each satellite store gets an `Async<Store>` wrapper exposing the sync store's method names over the existing `async-*-store.ts` helpers; `get<Store>Store()` returns a `Sync | Async` union; consumers `await` (harmless on sync), and engine/CLI paths that can't convert use `instanceof Sync` graceful fallback. Analytics aggregators branch on `"ping" in dbOrLayer` to run schema-qualified raw SQL over `project.*` (snake_case) in PG. Executors/orchestrators/autopilot are await-converted to drive the union store; the async store wrappers extend `EventEmitter` so SSE live-push fires in both backends. Not-yet-ported capabilities degrade gracefully (never 500) and are individually called out in commits. ## Sync with main The branch is kept continuously merged with `main` (currently through FN-7845, 2026-07-12); the earlier "final rebase deferred" note no longer applies. Use **Create a merge commit** (or squash) to land it — GitHub's rebase-merge cannot replay a merge-maintained branch. ## Residual Review Findings Multi-agent code review of the PostgreSQL satellite-store ports (U1–U5) applied 3 safe fixes (see `fix(review): apply autofix feedback`). The following are **real but gated** — recorded here as follow-up work rather than auto-applied. All are SQLite→PostgreSQL **concurrency/atomicity regressions**: the sync stores were immune only by SQLite's single-writer, single-threaded-handler execution; the async ports open multi-await read-modify-write windows. **Reachability is low today** because the execution engines that generate concurrent same-run mutations (insight run executor, research orchestrator/dispatcher) are `instanceof`-gated to sync mode in PG. No process-crash class survived (all engine fallbacks correctly guard the sync store). - **[P1] Research `appendResearchEvent` dual-write is non-atomic** (`packages/core/src/async-research-store.ts`, corroborated: adversarial + reliability). The `research_run_events` insert (own transaction) and the `run.events` jsonb update are separate writes — a crash between them, or two concurrent appends, splits the table count from the jsonb array. **Fix:** perform the seq-insert and the jsonb update in one `layer.transactionImmediate`. - **[P1] Research run terminal-reversion via stale full-row persist** (`async-research-store.ts` `persistResearchRun`/`updateResearchStatus`). Concurrent `PATCH /runs/:id/status` + `POST /runs/:id/events` can revert a terminal run to `running` by overwriting the whole row, bypassing the transition guard. **Fix:** scoped column `UPDATE`s with a `WHERE status …` guard, or optimistic version column. - **[P2] `updateResearchRun`/`updateInsightRun` read-then-write TOCTOU** — concurrent PATCHes last-writer-wins on the lifecycle merge. **Fix:** `SELECT … FOR UPDATE` / enclosing transaction. - **[P2] `upsertRun`/`createRunOrThrowConflict` check-then-create race** (`async-insight-store.ts`) — two callers can each create an "active" run. **Fix:** partial unique index on `(projectId, trigger) WHERE status IN ('pending','running')`. - **[P3] `createResearchRetryRun` return-value divergence** — sync returns the pre-update `queued` snapshot; async returns the reloaded `retry_waiting` run (persisted state is identical). Pick one side for cross-backend parity. - **[P2/perf] Mission `getMissionWithHierarchy`/`getMissionHealth` N+1 fan-out** — O(milestones×slices) sequential round-trips hold one pool slot per request; can starve the pool for large hierarchies. **Fix:** batched/joined reads. - **Testing gaps:** no PG-mode concurrency tests (interleaved status/event mutations), no sync↔async parity assertion for the lifecycle-error codes, and no mission status/health rollup parity test vs the sync `MissionStore`. ~~Out of scope (deferred): AI run *execution* (insight/research) + mission autopilot + live SSE mission events remain sync-gated/degraded in PG mode.~~ **Since ported** — insight/research run execution, mission autopilot, and SSE live push all run on the async layer now, which also makes the concurrency findings above genuinely reachable; they remain open follow-ups. --- ## Update — 2026-07-12: production-readiness hardening & live acceptance Everything below landed on this branch since the description above was written: **Production blockers from review — fixed** - `recoverStaleTransitionPending` ported to the async layer (backend moves write + clear the crash-safe marker; startup/maintenance sweeps no longer throw). - Lost-update class fixed: `atomicWriteTaskJson`/`WithAudit` write changed columns only (full-row upserts silently resurrected stale fields across concurrent store instances — the "task stuck unplanned forever" bug). - First-boot **auto-migration**: booting the PG backend over a project with a legacy `fusion.db` migrates it automatically (loud failure, SQLite kept as backup), and the dashboard shows a one-time **"your data was migrated" banner** with the backup paths and a Need-help Discord link. - `pg_dump`/`pg_restore` discovered from common install locations for embedded-mode backups. - The PG suite is part of the blocking merge gate (`test:pg-gate`). **Multi-project isolation (PR #2007, merged into this branch)** - `project_id` partition key on tasks / archived tasks / config, `taskProjectScope` threaded through every scan/claim/count, per-project config rows, layer bound to the project at startup. - Review P1 follow-up: the shared cold-storage `archive.archived_tasks` table is also partitioned and all archived-board reads/counts/searches are scoped. - Schema drift self-heal generalized to schema-qualified columns so existing databases upgrade in place. **Other changes** - Node settings sync **removed** in PG mode (409 `settings-sync-disabled-postgres`) — nodes share state by connecting to the same database; auth sync kept (per-machine file). - Perf (review findings): `listTasks` pushes column filter + ORDER BY + LIMIT/OFFSET into SQL; `getConversation` capped to the most recent 200 messages. - Fixed a false "operator action required" pause-abort log fired on every successfully auto-merged task. **Live acceptance — PASSED (2026-07-12)** A sandboxed instance (isolated HOME, embedded PG, real Opus executor) ran a task through the complete cycle: create → triage (AI spec) → execute → in-review → AI squash-merge landed on the project's `main` → done. A write+read sweep of every data surface (settings, comments, documents, attachments + artifact bridge + artifact edit, chat with real generation, goals, missions, agent mail, secrets, workflows, memory, CC analytics) was green on embedded PG. **Known remaining work** - The per-project `config` PK re-key has no upgrade path for pre-isolation embedded-PG databases (needs a real `DROP CONSTRAINT`/re-key migration; fresh databases are fine). - `pg_dump`/`pg_restore` binaries are not yet bundled in release artifacts (PATH/common-location discovery only). - The satellite-store concurrency findings listed above. --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Phil Larson <hello@phillarson.xyz> Co-authored-by: fusion-merge <fusion-merge@local>
474 lines
18 KiB
TypeScript
474 lines
18 KiB
TypeScript
import { sql } from "drizzle-orm";
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import type { Database } from "./db.js";
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import type { AsyncDataLayer } from "./postgres/data-layer.js";
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/**
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* Productivity analytics: files modified (count + language distribution) from
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* `tasks.modifiedFiles`, commit associations from `task_commit_associations`,
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* pull requests from `pull_requests`, LOC from merge-time commit diff stats,
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* and estimated human hours saved derived from the same LOC source.
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*
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* **LOC availability.** Fusion persists nullable `additions`/`deletions` on
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* `task_commit_associations` when merge paths can capture git shortstat output.
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* LOC is reported as a real value only when at least one in-range association
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* has non-null stats. If the range has no recorded stats, the documented
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* unavailable sentinel — `{ value: null, unavailable: true }` — is preserved,
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* **never `0`**, so missing historical data is not mistaken for "zero lines
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* changed". Human-hours-saved uses the same sentinel because it is a
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* conservative estimate over real LOC rather than an independent data source.
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*
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* Inclusivity: `from`/`to` bounds are inclusive. Tasks are filtered by
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* `updatedAt` (the last time the task — and therefore its modifiedFiles — was
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* touched); completed-task durations by `executionCompletedAt`; commit
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* associations by `authoredAt`; PRs by `createdAt`.
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*/
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/*
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FNXC:CommandCenterProductivity 2026-06-19-12:00:
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Human hours saved is intentionally a rough headline estimate from already-aggregated changed LOC. Use one conservative exported rate so dashboards, CSV exports, and docs can cite the same assumption without adding a new data source or implying precision.
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*/
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export const HUMAN_LINES_PER_HOUR = 15;
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export interface ProductivityAnalyticsQuery {
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/** ISO-8601 lower bound (inclusive). */
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from?: string;
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/** ISO-8601 upper bound (inclusive). */
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to?: string;
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}
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/** A single language's modified-file count. */
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export interface LanguageCount {
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/** Lowercased file extension (no dot), or `other` when none. */
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language: string;
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count: number;
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}
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/**
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* LOC summary. `value` is null and `unavailable` true when no in-range commit
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* association has diff stats — never `0` for unknown data.
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*/
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export interface LocSummary {
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value: number | null;
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unavailable: boolean;
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}
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/**
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* Estimated human hours saved. `value` is an estimate in hours. It is null and
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* `unavailable` true when the underlying LOC source is unavailable — never `0`
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* for unknown data.
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*/
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export interface HoursSavedSummary {
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value: number | null;
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unavailable: boolean;
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}
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/**
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* FNXC:CommandCenterProductivity 2026-06-19-12:00:
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* Task-duration productivity stats are derived from `tasks.cumulativeActiveMs` for done tasks completed in the selected range. Missing qualifying durations are unavailable, not zero, so old or untracked tasks do not read as instant work.
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*/
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export interface TaskDurationSummary {
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completedTasks: number;
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averageMs: number | null;
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medianMs: number | null;
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p90Ms: number | null;
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totalMs: number | null;
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unavailable: boolean;
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}
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/**
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* FNXC:CommandCenterProductivity 2026-06-30-10:17:
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* Operators need average and median task active duration over time from real completed-task `cumulativeActiveMs` history. Trend buckets are emitted only for days with qualifying completed tasks; missing history must stay absent/unavailable, never fabricated as zero-duration chart points.
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*/
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export interface TaskDurationTrendBucket {
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bucket: string;
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completedTasks: number;
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averageMs: number | null;
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medianMs: number | null;
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unavailable: boolean;
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}
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export interface ProductivityAnalytics {
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from: string | null;
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to: string | null;
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/** Total modified-file paths across matched tasks. */
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modifiedFiles: number;
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/** Modified files grouped by language (extension), descending by count. */
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byLanguage: LanguageCount[];
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/** Rows in `task_commit_associations` in range. */
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commits: number;
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/** Rows in `pull_requests` in range. */
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pullRequests: number;
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/** LOC from commit association diff stats when at least one in-range row has stats. */
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loc: LocSummary;
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/** Estimated human-hours equivalent derived from `loc` when LOC is available. */
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hoursSaved: HoursSavedSummary;
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/** Active execution duration for done tasks completed in range. */
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taskDuration: TaskDurationSummary;
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/** Per-day active execution duration for done tasks completed in range. */
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taskDurationTrend: TaskDurationTrendBucket[];
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}
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interface CountRow {
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count: number;
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}
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interface CommitStatsRow {
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count: number;
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additions: number | null;
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deletions: number | null;
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statsRows: number;
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}
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interface ModifiedFilesRow {
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modifiedFiles: string | null;
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}
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interface TaskDurationRow {
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cumulativeActiveMs: number;
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executionCompletedAt: string;
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}
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/** Extract a coarse language key from a file path (its lowercased extension). */
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function languageOf(path: string): string {
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const base = path.split("/").pop() ?? path;
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const dot = base.lastIndexOf(".");
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if (dot <= 0 || dot === base.length - 1) return "other";
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return base.slice(dot + 1).toLowerCase();
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}
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function median(sortedValues: readonly number[]): number | null {
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if (sortedValues.length === 0) return null;
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const middle = Math.floor(sortedValues.length / 2);
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if (sortedValues.length % 2 === 1) return sortedValues[middle] ?? null;
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return ((sortedValues[middle - 1] ?? 0) + (sortedValues[middle] ?? 0)) / 2;
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}
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function nearestRankPercentile(sortedValues: readonly number[], percentile: number): number | null {
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if (sortedValues.length === 0) return null;
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const index = Math.min(
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sortedValues.length - 1,
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Math.max(0, Math.ceil(percentile * sortedValues.length) - 1),
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);
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return sortedValues[index] ?? null;
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}
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/**
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* Aggregate productivity metrics over a date range. Empty range yields zeroed
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* structures (not nulls); LOC and task duration remain unavailable sentinels
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* unless at least one in-range row carries real source data.
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*/
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export async function aggregateProductivityAnalytics(
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dbOrLayer: Database | AsyncDataLayer,
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query: ProductivityAnalyticsQuery = {},
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): Promise<ProductivityAnalytics> {
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// FNXC:PostgresCommandCenterAnalytics 2026-06-27-10:00:
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// Backend (PostgreSQL) path. The async connection does not put `project` on
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// the search_path, so every table is schema-qualified (project.*) and uses
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// snake_case columns. `modified_files` is jsonb (postgres-js returns it
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// already parsed), so the language/file count runs over the parsed array
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// rather than JSON.parse. pull_requests.created_at is a bigint epoch-ms
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// column (mirrors the SQLite INTEGER column), so ISO bounds are converted to
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// epoch ms. Semantics (range columns, COALESCE/SUM/COUNT, statsRows gate, LOC
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// unavailable sentinel, duration percentiles) mirror the sync branch exactly.
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if ("ping" in dbOrLayer) {
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return aggregateProductivityAnalyticsAsync(dbOrLayer, query);
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}
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const db = dbOrLayer as Database;
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// Modified files: read the JSON array off tasks updated in range.
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const taskClauses: string[] = [
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"modifiedFiles IS NOT NULL",
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"modifiedFiles NOT IN ('', '[]')",
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];
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const taskParams: string[] = [];
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if (query.from !== undefined) {
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taskClauses.push("updatedAt >= ?");
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taskParams.push(query.from);
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}
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if (query.to !== undefined) {
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taskClauses.push("updatedAt <= ?");
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taskParams.push(query.to);
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}
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const taskRows = db
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.prepare(
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`SELECT modifiedFiles FROM tasks WHERE ${taskClauses.join(" AND ")}`,
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)
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.all(...taskParams) as ModifiedFilesRow[];
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let modifiedFiles = 0;
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const langMap = new Map<string, number>();
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for (const row of taskRows) {
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if (!row.modifiedFiles) continue;
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let files: unknown;
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try {
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files = JSON.parse(row.modifiedFiles);
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} catch {
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continue;
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}
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if (!Array.isArray(files)) continue;
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for (const f of files) {
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if (typeof f !== "string" || f.length === 0) continue;
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modifiedFiles += 1;
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const lang = languageOf(f);
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langMap.set(lang, (langMap.get(lang) ?? 0) + 1);
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}
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}
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const byLanguage: LanguageCount[] = [...langMap.entries()]
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.map(([language, count]) => ({ language, count }))
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.sort((a, b) => b.count - a.count);
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// Commits from task_commit_associations (by authoredAt).
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const commitClauses: string[] = [];
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const commitParams: string[] = [];
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if (query.from !== undefined) {
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commitClauses.push("authoredAt >= ?");
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commitParams.push(query.from);
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}
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if (query.to !== undefined) {
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commitClauses.push("authoredAt <= ?");
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commitParams.push(query.to);
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}
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const commitWhere =
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commitClauses.length > 0 ? `WHERE ${commitClauses.join(" AND ")}` : "";
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const commitStats = db
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.prepare(
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`SELECT
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COUNT(*) AS count,
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SUM(additions) AS additions,
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SUM(deletions) AS deletions,
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COUNT(CASE WHEN additions IS NOT NULL OR deletions IS NOT NULL THEN 1 END) AS statsRows
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FROM task_commit_associations ${commitWhere}`,
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)
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.get(...commitParams) as CommitStatsRow;
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const commits = commitStats.count;
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const loc: LocSummary = commitStats.statsRows > 0
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? { value: (commitStats.additions ?? 0) + (commitStats.deletions ?? 0), unavailable: false }
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: { value: null, unavailable: true };
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const hoursSaved: HoursSavedSummary = loc.unavailable || loc.value === null
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? { value: null, unavailable: true }
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: { value: Math.round((loc.value / HUMAN_LINES_PER_HOUR) * 10) / 10, unavailable: false };
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const durationClauses: string[] = [
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`"column" = 'done'`,
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"executionCompletedAt IS NOT NULL",
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"cumulativeActiveMs IS NOT NULL",
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"cumulativeActiveMs > 0",
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];
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const durationParams: string[] = [];
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if (query.from !== undefined) {
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durationClauses.push("executionCompletedAt >= ?");
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durationParams.push(query.from);
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}
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if (query.to !== undefined) {
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durationClauses.push("executionCompletedAt <= ?");
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durationParams.push(query.to);
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}
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const durationRows = db
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.prepare(
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`SELECT cumulativeActiveMs, executionCompletedAt FROM tasks WHERE ${durationClauses.join(" AND ")} ORDER BY executionCompletedAt ASC`,
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)
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.all(...durationParams) as TaskDurationRow[];
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const durations = durationRows.map((row) => row.cumulativeActiveMs).sort((a, b) => a - b);
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const totalDurationMs = durations.reduce((sum, durationMs) => sum + durationMs, 0);
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const taskDuration: TaskDurationSummary = durations.length > 0
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? {
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completedTasks: durations.length,
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averageMs: totalDurationMs / durations.length,
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medianMs: median(durations),
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p90Ms: nearestRankPercentile(durations, 0.9),
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totalMs: totalDurationMs,
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unavailable: false,
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}
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: {
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completedTasks: 0,
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averageMs: null,
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medianMs: null,
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p90Ms: null,
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totalMs: null,
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unavailable: true,
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};
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const durationBuckets = new Map<string, number[]>();
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for (const row of durationRows) {
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const bucket = row.executionCompletedAt.slice(0, 10);
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const bucketDurations = durationBuckets.get(bucket) ?? [];
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bucketDurations.push(row.cumulativeActiveMs);
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durationBuckets.set(bucket, bucketDurations);
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}
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const taskDurationTrend: TaskDurationTrendBucket[] = [...durationBuckets.entries()].map(([bucket, bucketDurations]) => {
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const sortedBucketDurations = [...bucketDurations].sort((a, b) => a - b);
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const bucketTotalMs = sortedBucketDurations.reduce((sum, durationMs) => sum + durationMs, 0);
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return {
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bucket,
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completedTasks: sortedBucketDurations.length,
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averageMs: sortedBucketDurations.length > 0 ? bucketTotalMs / sortedBucketDurations.length : null,
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medianMs: median(sortedBucketDurations),
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unavailable: sortedBucketDurations.length === 0,
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};
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});
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// Pull requests. `pull_requests.createdAt` is an INTEGER epoch-ms column, so
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// convert the ISO bounds to epoch ms for comparison.
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const prClauses: string[] = [];
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const prParams: number[] = [];
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if (query.from !== undefined) {
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prClauses.push("createdAt >= ?");
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prParams.push(Date.parse(query.from));
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}
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if (query.to !== undefined) {
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prClauses.push("createdAt <= ?");
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prParams.push(Date.parse(query.to));
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}
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const prWhere = prClauses.length > 0 ? `WHERE ${prClauses.join(" AND ")}` : "";
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const pullRequests = (
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db
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.prepare(`SELECT COUNT(*) AS count FROM pull_requests ${prWhere}`)
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.get(...prParams) as CountRow
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).count;
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return {
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from: query.from ?? null,
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to: query.to ?? null,
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modifiedFiles,
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byLanguage,
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commits,
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pullRequests,
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loc,
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hoursSaved,
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taskDuration,
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taskDurationTrend,
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};
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}
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/**
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* FNXC:PostgresCommandCenterAnalytics 2026-06-27-10:00:
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* PostgreSQL implementation of {@link aggregateProductivityAnalytics}. Mirrors
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* the sync SQLite aggregation one-for-one against the real `project.*` tables.
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*/
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async function aggregateProductivityAnalyticsAsync(
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layer: AsyncDataLayer,
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query: ProductivityAnalyticsQuery,
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): Promise<ProductivityAnalytics> {
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// Modified files: tasks updated in range whose modified_files is a non-empty
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// jsonb array. postgres-js returns jsonb already parsed.
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const mfFrom = query.from !== undefined ? sql`AND updated_at >= ${query.from}` : sql``;
|
|
const mfTo = query.to !== undefined ? sql`AND updated_at <= ${query.to}` : sql``;
|
|
const taskRows = (await layer.db.execute(
|
|
sql`SELECT modified_files AS "modifiedFiles" FROM project.tasks
|
|
WHERE modified_files IS NOT NULL
|
|
AND jsonb_typeof(modified_files) = 'array'
|
|
AND jsonb_array_length(modified_files) > 0
|
|
${mfFrom} ${mfTo}`,
|
|
)) as Array<{ modifiedFiles: unknown }>;
|
|
|
|
let modifiedFiles = 0;
|
|
const langMap = new Map<string, number>();
|
|
for (const row of taskRows) {
|
|
const files = row.modifiedFiles;
|
|
if (!Array.isArray(files)) continue;
|
|
for (const f of files) {
|
|
if (typeof f !== "string" || f.length === 0) continue;
|
|
modifiedFiles += 1;
|
|
const lang = languageOf(f);
|
|
langMap.set(lang, (langMap.get(lang) ?? 0) + 1);
|
|
}
|
|
}
|
|
const byLanguage: LanguageCount[] = [...langMap.entries()]
|
|
.map(([language, count]) => ({ language, count }))
|
|
.sort((a, b) => b.count - a.count);
|
|
|
|
// Commits + LOC from task_commit_associations (by authored_at).
|
|
const cFrom = query.from !== undefined ? sql`AND authored_at >= ${query.from}` : sql``;
|
|
const cTo = query.to !== undefined ? sql`AND authored_at <= ${query.to}` : sql``;
|
|
const commitStatsRows = (await layer.db.execute(
|
|
sql`SELECT
|
|
count(*)::int AS count,
|
|
COALESCE(SUM(additions), 0)::int AS additions,
|
|
COALESCE(SUM(deletions), 0)::int AS deletions,
|
|
COUNT(CASE WHEN additions IS NOT NULL OR deletions IS NOT NULL THEN 1 END)::int AS "statsRows"
|
|
FROM project.task_commit_associations
|
|
WHERE 1=1 ${cFrom} ${cTo}`,
|
|
)) as Array<{ count: number; additions: number; deletions: number; statsRows: number }>;
|
|
const commitStats = commitStatsRows[0] ?? { count: 0, additions: 0, deletions: 0, statsRows: 0 };
|
|
const commits = commitStats.count;
|
|
const loc: LocSummary = commitStats.statsRows > 0
|
|
? { value: (commitStats.additions ?? 0) + (commitStats.deletions ?? 0), unavailable: false }
|
|
: { value: null, unavailable: true };
|
|
const hoursSaved: HoursSavedSummary = loc.unavailable || loc.value === null
|
|
? { value: null, unavailable: true }
|
|
: { value: Math.round((loc.value / HUMAN_LINES_PER_HOUR) * 10) / 10, unavailable: false };
|
|
|
|
// Active-execution duration for done tasks completed in range.
|
|
const dFrom = query.from !== undefined ? sql`AND execution_completed_at >= ${query.from}` : sql``;
|
|
const dTo = query.to !== undefined ? sql`AND execution_completed_at <= ${query.to}` : sql``;
|
|
const durationRows = (await layer.db.execute(
|
|
sql`SELECT cumulative_active_ms AS "cumulativeActiveMs", execution_completed_at AS "executionCompletedAt"
|
|
FROM project.tasks
|
|
WHERE "column" = 'done'
|
|
AND execution_completed_at IS NOT NULL
|
|
AND cumulative_active_ms IS NOT NULL
|
|
AND cumulative_active_ms > 0
|
|
${dFrom} ${dTo}
|
|
ORDER BY cumulative_active_ms ASC`,
|
|
)) as Array<{ cumulativeActiveMs: number; executionCompletedAt: string }>;
|
|
const durations = durationRows.map((row) => Number(row.cumulativeActiveMs));
|
|
const totalDurationMs = durations.reduce((sum, durationMs) => sum + durationMs, 0);
|
|
const taskDuration: TaskDurationSummary = durations.length > 0
|
|
? {
|
|
completedTasks: durations.length,
|
|
averageMs: totalDurationMs / durations.length,
|
|
medianMs: median(durations),
|
|
p90Ms: nearestRankPercentile(durations, 0.9),
|
|
totalMs: totalDurationMs,
|
|
unavailable: false,
|
|
}
|
|
: {
|
|
completedTasks: 0,
|
|
averageMs: null,
|
|
medianMs: null,
|
|
p90Ms: null,
|
|
totalMs: null,
|
|
unavailable: true,
|
|
};
|
|
|
|
const durationBuckets = new Map<string, number[]>();
|
|
for (const row of durationRows) {
|
|
const bucket = row.executionCompletedAt.slice(0, 10);
|
|
const bucketDurations = durationBuckets.get(bucket) ?? [];
|
|
bucketDurations.push(Number(row.cumulativeActiveMs));
|
|
durationBuckets.set(bucket, bucketDurations);
|
|
}
|
|
const taskDurationTrend: TaskDurationTrendBucket[] = [...durationBuckets.entries()].map(([bucket, bucketDurations]) => {
|
|
const sortedBucketDurations = [...bucketDurations].sort((a, b) => a - b);
|
|
const bucketTotalMs = sortedBucketDurations.reduce((sum, durationMs) => sum + durationMs, 0);
|
|
return {
|
|
bucket,
|
|
completedTasks: sortedBucketDurations.length,
|
|
averageMs: sortedBucketDurations.length > 0 ? bucketTotalMs / sortedBucketDurations.length : null,
|
|
medianMs: sortedBucketDurations.length > 0 ? median(sortedBucketDurations) : null,
|
|
unavailable: false,
|
|
};
|
|
});
|
|
|
|
// Pull requests. pull_requests.created_at is a bigint epoch-ms column, so the
|
|
// ISO bounds are converted to epoch ms for comparison (mirrors sync branch).
|
|
const prFrom = query.from !== undefined ? sql`AND created_at >= ${Date.parse(query.from)}` : sql``;
|
|
const prTo = query.to !== undefined ? sql`AND created_at <= ${Date.parse(query.to)}` : sql``;
|
|
const prRows = (await layer.db.execute(
|
|
sql`SELECT count(*)::int AS count FROM project.pull_requests WHERE 1=1 ${prFrom} ${prTo}`,
|
|
)) as Array<{ count: number }>;
|
|
const pullRequests = prRows[0]?.count ?? 0;
|
|
|
|
return {
|
|
from: query.from ?? null,
|
|
to: query.to ?? null,
|
|
modifiedFiles,
|
|
byLanguage,
|
|
commits,
|
|
pullRequests,
|
|
loc,
|
|
hoursSaved,
|
|
taskDuration,
|
|
taskDurationTrend,
|
|
};
|
|
}
|