ca821008e2
Measured on a copy of a real 1.2 GB / 253K-event database, 10 simulated browsers + 10 hooks/s for 90 s: event-loop delay p99 1239 ms → 32 ms (max 2.0 s → 94 ms), 266 failed requests → 0, 74 → 111 requests/s served, server RSS 633 → 346 MB. Entry bundle 975 KB raw → 394 KB (106 KB brotli). Server - /api/analytics: the events-table scans run in the read worker (scoped-stats eventAggregates, read-pool job analyticsEvents); runRead takes maxAgeMs — analytics 10 s, /api/workflows 30 s — keyed by the args - /api/workflows/skill-usage: +event_type and a tool_name range instead of LIKE, so it uses idx_events_tool (784 ms → a few ms) - idx_events_session_type_tool (session_id, event_type, tool_name, created_at) replaces idx_events_session_type: covering reads for session stats, the hook dedupes and the import resume point (1.2 s → 20 ms); 64 MB cache_size and 256 MB mmap_size on both connections - WAL: the server sets wal_autocheckpoint = 0 and checkpoints PASSIVE every DASHBOARD_WAL_CHECKPOINT_MS (5 s) from the read worker's own writable connection; a failed checkpoint restores the automatic one (hook COMMIT p95 109 ms → 15 ms at 100 hooks/s) - tmux: one list-sessions answers a whole GET /api/lanes and the heal beat (liveSessions), shared for 1 s and cleared by this process's new/kill — GET /api/run's sync spawns had blocked 60 s of a 90 s run; the heal beat skips tmux when nothing runs; attach options chained into 2 spawns - hooks: TurnDuration/APIError deduped against one read per hook instead of a query per transcript entry (23 ms/hook on a 763-turn session); one lane scan per hook; hourly upserts skip rows that did not grow; frames are sent after the transaction commits (and after the pane binding); new_event carries its row id; a split pane's (slot 1–9) hooks no longer rebind the lane's session_id - watchdog liveness probe runs ps asynchronously; transcript newline scan via indexOf; startup subagent backfill fingerprints the files it already checked - pty attach: backpressure (pause past 1 MB unsent, resume under 256 KB) - static: hashed assets served from their pre-compressed .br/.gz sibling Client - hidden tabs neither refetch on WS events nor poll (useLiveRefresh, panes, lane cards, git header, changes panel, settings); no per-tab hourly /updates/check (the server already checks) - refetch storms throttled (workspace tree/session list 3 s, /api/run only on a run-key change, notification pane lookup only when shown); WS reconnect jitter; terminal retry backoff 1.5 → 30 s, stops on 1008 - heavier throttles for aggregates (15 s) and detail views; Monitor keepIfSame; GET in-flight dedupe in request() - lazy Dashboard/History, xterm (with the first terminal), lane modals, Sagi (only while enabled); only the active locale loads; Workspace chunk prefetched on a /workspace deep link - Sagi: no work while disabled, pupil via CSS variables, memo avatar - build: .br/.gz siblings, sourcemap hidden; service worker no longer caches /assets/ (cache v3 drops the old one) Tests: scripts/test-server.js drops the GIT_DIR-family variables a hook exports, so a suite run from a linked worktree's pre-commit can no longer commit into the real repository or set core.bare. Docs: ARCHITECTURE, DATABASE, API, DEPLOYMENT, client README, docs/plans/perf/README.md (audit, checklist, results).
126 lines
4.9 KiB
JavaScript
126 lines
4.9 KiB
JavaScript
/**
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* @file Express router for analytics endpoints, providing aggregated statistics on token usage, tool usage, daily events/sessions, agent types, and more, narrowed by data scope, AI tool and an optional `from`/`to` date range. `computeAnalytics` is the same bundle for scheduled reports.
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* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
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*/
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const { Router } = require("express");
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const { stmts, db } = require("../db");
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const {
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parseScope,
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parseTool,
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BAD_TOOL,
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parseRange,
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inRange,
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BAD_RANGE,
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} = require("../lib/source-filter");
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const scoped = require("../lib/scoped-stats");
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const { runRead } = require("../lib/read-pool");
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const { calculateCost, dailyTokenRows, costWhere } = require("./pricing");
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const router = Router();
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// Every session, for the scoped path when only a date range narrows.
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const ALL = { where: "1=1", params: [] };
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const USAGE_TOKEN_COLS = {
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total_input: "input_tokens",
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total_output: "output_tokens",
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total_cache_read: "cache_read_tokens",
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total_cache_write: "cache_write_tokens",
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};
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/**
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* The analytics bundle for a data scope (`parseScope`'s predicate or null) and
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* a date range (`parseRange`'s result or null). Also used by scheduled reports.
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* With a range, counts follow it and tokens/cost come from the cost rows of the
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* days in it (`token_usage` has no date); the daily charts keep 365 days.
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*/
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function computeAnalytics(
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{ scope = null, range = null, tzModifier = "+0 minutes" } = {},
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events = scoped.eventAggregates(db, scope || (range ? ALL : null), range, tzModifier)
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) {
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const sc = scope || (range ? ALL : null);
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const { toolUsage, dailyEvents, eventTypes, avgEvents } = events;
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const dailySessions = sc
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? scoped.dailySessionCounts(db, sc, tzModifier)
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: stmts.dailySessionCounts.all(tzModifier);
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const agentTypes = sc
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? scoped.agentTypeDistribution(db, sc, range)
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: stmts.agentTypeDistribution.all();
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const overview = sc ? scoped.statsOverview(db, sc, range) : stmts.stats.get();
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const agentsByStatus = sc
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? scoped.agentStatusCounts(db, sc, range)
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: stmts.agentStatusCounts.all();
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const sessionsByStatus = sc
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? scoped.sessionStatusCounts(db, sc, range)
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: stmts.sessionStatusCounts.all();
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const totalSubagents = sc
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? scoped.totalSubagentCount(db, sc, range)
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: stmts.totalSubagentCount.get();
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// Total cost exactly as GET /api/pricing/cost computes it (baselines, the
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// per-day rate, the same scope and range), so the two numbers always agree.
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// A session that started after the range cannot have spent in it.
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const extra = range?.end ? [{ clause: "s.started_at < ?", params: [range.end] }] : [];
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const where = costWhere({ scope, extra });
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const rows = dailyTokenRows(tzModifier, where.whereClause, where.params).filter((r) =>
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inRange(range, r.date)
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);
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const totalCost = calculateCost(rows, stmts.listPricing.all()).total_cost;
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let tokens;
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if (range) {
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tokens = {};
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for (const [k, c] of Object.entries(USAGE_TOKEN_COLS)) {
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tokens[k] = Math.round(rows.reduce((n, r) => n + r[c], 0));
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}
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} else {
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const t = scope ? scoped.tokenTotals(db, scope) : stmts.getTokenTotals.get();
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tokens = Object.fromEntries(Object.keys(USAGE_TOKEN_COLS).map((k) => [k, t?.[k] ?? 0]));
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}
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return {
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tokens,
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total_cost: totalCost,
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tool_usage: toolUsage,
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daily_events: dailyEvents,
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daily_sessions: dailySessions,
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agent_types: agentTypes,
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event_types: eventTypes,
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avg_events_per_session: avgEvents?.avg ?? 0,
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total_subagents: totalSubagents?.count ?? 0,
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overview,
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agents_by_status: Object.fromEntries(agentsByStatus.map((r) => [r.status, r.count])),
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sessions_by_status: Object.fromEntries(sessionsByStatus.map((r) => [r.status, r.count])),
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};
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}
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router.get("/", (req, res) => {
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// Client sends tz_offset (minutes from getTimezoneOffset(), e.g. 420 for PDT)
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// Negate it to get the SQLite modifier: 420 → '-420 minutes'
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const rawOffset = parseInt(req.query.tz_offset, 10);
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const tzModifier = Number.isFinite(rawOffset) ? `${-rawOffset} minutes` : "+0 minutes";
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// Data-scope: restrict every metric to a subset of source machines and/or one
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// AI tool when the user has chosen one, and to `?from=&to=` (local dates).
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if (parseTool(req) === false) return res.status(400).json(BAD_TOOL);
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const range = parseRange(req);
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if (range === false) return res.status(400).json(BAD_RANGE);
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const scope = parseScope(req);
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// The events scans run in the read worker (a 365-day daily count is ~0.5 s
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// on a large DB), and a 10 s memo lets every open dashboard share one run.
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runRead(
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"analyticsEvents",
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{ scope: scope || (range ? ALL : null), range, tzModifier },
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{ maxAgeMs: 10_000 }
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)
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.then((events) => res.json(computeAnalytics({ scope, range, tzModifier }, events)))
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.catch((err) =>
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res
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.status(err.code === "EREADTIMEOUT" ? 503 : 500)
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.json({ error: { code: err.code, message: err.message } })
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);
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});
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module.exports = router;
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module.exports.computeAnalytics = computeAnalytics;
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