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4 Commits
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d6349c16ec |
feat(runtime): per-runtime timezone for token-usage aggregation (MUL-1950) (#2394)
* feat: per-runtime timezone for token usage aggregation The runtime token-usage charts (daily and hourly tabs on the runtime-detail page) bucketed every event by the Postgres session timezone, which is UTC in production. For an operator in UTC+8 that meant a Tuesday afternoon's tasks landed in Tuesday early-morning's bar — the chart was always one off. Fix: store an IANA timezone on agent_runtime and aggregate under it. * migrations 081 / 082 add agent_runtime.timezone (TEXT NOT NULL DEFAULT 'UTC') and rebuild the rollup pipeline (window function and both trigger functions) to compute bucket_date with AT TIME ZONE rt.timezone instead of bare DATE(). * No historical backfill — task_usage_daily rows already on disk keep their UTC bucket_date; only future writes / re-touches recompute under the new tz. (Product call from MUL-1950: 'guarantee future correctness'.) * runtime_usage.sql gains a @tz parameter on ListRuntimeUsage and GetRuntimeUsageByHour and threads tz through GetRuntimeTaskHourly Activity. ListRuntimeUsageDaily reads bucket_date as-is since the rollup already wrote it in tz. * parseSinceParamInTZ replaces the raw N×24h cutoff with start-of- day-N in the runtime's tz so 'last 7 days' lines up with bucket boundaries. * Daemon registration sends the host's IANA tz (TZ env, then time.Local), and UpsertAgentRuntime preserves any user override via a CASE-on-existing-value pattern so a daemon reconnect can't silently revert the operator's setting. * New PATCH /api/runtimes/:id endpoint (UpdateAgentRuntime) lets the runtime detail page edit the tz; the editor seeds with the browser tz on first interaction. Refs: MUL-1950 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> * fix: harden runtime timezone rollups Co-authored-by: multica-agent <github@multica.ai> * fix: address runtime timezone review nits Co-authored-by: multica-agent <github@multica.ai> --------- Co-authored-by: Eve <eve@multica.ai> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> Co-authored-by: Eve <eve@multica-ai.local> |
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eb067ff077 |
fix(server): aggregate task_usage into daily rollup table to cut DB load (#2256)
* fix(server): aggregate task_usage into daily rollup table to cut DB load ListRuntimeUsage previously did a SUM(...) GROUP BY DATE(created_at), provider, model over the raw task_usage stream once per runtime row on the runtimes list and once per detail page load, scaling O(events) per call. This is the hot read path responsible for sustained load on Postgres. Switch the read path to a materialized daily rollup table maintained by a pg_cron job: - 072_task_usage_daily_rollup: schema for task_usage_daily + task_usage_rollup_state, plus rollup_task_usage_daily_window(p_from, p_to) (window primitive used by both cron and offline backfill, idempotent via ON CONFLICT DO UPDATE adding deltas) and rollup_task_usage_daily() (cron entry point — pg_try_advisory_lock(4242) for serialization, watermark advancement, 5-minute safety lag for late-visible inserts). Also adds idx_task_usage_created_at to help the two lazy endpoints (ListRuntimeUsageByAgent / GetRuntimeUsageByHour) that still hit the raw table. - 073_task_usage_daily_pgcron: CREATE EXTENSION IF NOT EXISTS pg_cron in a DO/EXCEPTION block (mirrors the migration 032 pg_bigm pattern so envs without shared_preload_libraries=pg_cron skip gracefully) and schedules rollup_task_usage_daily() every 5 minutes when the extension is present. - queries/runtime_usage.sql ListRuntimeUsage rewritten to read from task_usage_daily; sqlc regenerated. Other usage queries unchanged. - cmd/backfill_task_usage_daily: one-shot Go command that walks task_usage in monthly slices through rollup_task_usage_daily_window, then stamps the watermark to now()-5m so the cron resumes cleanly. Run once after migrations have applied, before relying on the rollup. - runtime_test.go: TestGetRuntimeUsage_BucketsByUsageTime now invokes rollup_task_usage_daily_window after fixture inserts so the handler sees the rolled-up rows. Synthetic daily rows cleaned up after each test. - runtime_rollup_test.go: new tests covering aggregation correctness, idempotency contract of ON CONFLICT DO UPDATE, and the watermark advancing exactly to now()-5m via the cron entry point. Deployment order: apply migrations → run backfill_task_usage_daily once → pg_cron picks up subsequent windows automatically. Today bucket may be up to ~10 minutes stale (5 min cron + 5 min lag) by design. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> * fix(server): make task_usage_daily rollup safe to overlap, replay, and correct Addresses 4 review blockers on the original PR: 1. Cron/backfill double-count race: the rollup function is now idempotent. Window calls find DIRTY KEYS via task_usage.updated_at, then RECOMPUTE each bucket from ground truth and REPLACE the daily row (no more additive ON CONFLICT). Cron and backfill can now overlap safely. 2. Silent pg_cron absence: the read path is gated behind a new USAGE_DAILY_ROLLUP_ENABLED feature flag (default off). The raw task_usage scan is preserved as the fallback. Operators flip the flag per-environment after backfill + cron are confirmed healthy (task_usage_rollup_lag_seconds() helper added for monitoring). 3. UpsertTaskUsage corrections invisible to rollup: added task_usage.updated_at column (default now(), backfilled from created_at), and bumped it on conflict. Corrections now mark the bucket dirty and the next window call recomputes it correctly. 4. CREATE INDEX blocking writes on hot table: split into separate single-statement migrations using CREATE INDEX CONCURRENTLY (074, 075), matching the 035/067 pattern. Also: cron.schedule() removed from migrations entirely. Migration 076 only enables the extension (gracefully on unsupported envs); the actual schedule is a documented operator runbook step that runs AFTER backfill. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> * fix(server): trigger-driven invalidation + online-safe migration for task_usage_daily Round-2 review feedback on PR #2256: 1. Add explicit dirty-bucket queue (task_usage_daily_dirty) populated by triggers on agent_task_queue (UPDATE OF runtime_id, DELETE) and task_usage (DELETE). The rollup window function drains both this queue and the updated_at-based discovery, so runtime reassignment and issue-cascade deletes no longer leave the rollup divergent from the raw query. Triggers join via agent (not issue) to look up workspace_id, because when the cascade comes from issue, the issue row is already gone by the time atq's BEFORE DELETE fires; agent stays alive. 2. Make migration 072 online-safe: only ADD COLUMN updated_at TIMESTAMPTZ (nullable, no default → metadata-only ALTER, no row rewrite) and a separate ALTER for SET DEFAULT now() (also metadata-only). No bulk UPDATE on the hot task_usage table. The rollup window function's dirty_keys CTE handles legacy NULL rows via an OR branch, supported by partial index idx_task_usage_created_at_legacy. 3. Refresh stale documentation in cmd/backfill_task_usage_daily/main.go header to describe the current recompute/replace semantics, idempotent re-runnability, and the actual migration numbering (072..077). Tests: - TestRollupTaskUsageDaily_InvalidationOnReassign: verifies usage moves between runtime buckets after ReassignTasksToRuntime-style update. - TestRollupTaskUsageDaily_InvalidationOnIssueDelete: verifies daily bucket is cleared after issue delete cascades through atq → task_usage. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> * fix(server): close dirty-queue race + move legacy partial index to its own concurrent migration Round-3 review feedback on PR #2256: 1. Blocker: dirty-queue invalidations could be silently lost under concurrency. ON CONFLICT DO NOTHING let a late trigger see the row already enqueued, no-op, and then the rollup drain (WHERE enqueued_at < p_to) would delete the original row — losing the late invalidation. Switched all three trigger enqueue paths to ON CONFLICT DO UPDATE SET enqueued_at = GREATEST(existing, EXCLUDED.enqueued_at), so any invalidation arriving during a rollup tick keeps enqueued_at > p_to (p_to = now() - 5min) and survives the post-tick drain. 2. High: idx_task_usage_created_at_legacy (partial index on hot task_usage table) was being created in the regular 077 migration without CONCURRENTLY. Moved to new migration 078 with CREATE INDEX CONCURRENTLY, matching the pattern of 074/075. 077's down migration leaves the index alone (it is owned by 078). 3. Minor: gofmt -w on runtime_rollup_test.go and backfill_task_usage_daily/main.go (tabs were lost in the original heredoc append). PR description rewritten to describe the current recompute/replace + dirty queue + feature flag design and the 072..078 migration ordering. Tests still green: TestRollupTaskUsageDaily_* (including both new invalidation regressions), TestGetRuntimeUsage_*, TestWorkspaceUsage_*. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> * fix(server): unify workspace_id source via agent in rollup window function Round-4 review feedback (J) on PR #2256: M1 (must-fix): The dirty queue triggers resolved workspace_id via `agent.workspace_id`, but the window function's `dirty_from_updates` discovery and `recomputed` recompute join used `issue.workspace_id`. There is no schema-level FK guaranteeing `agent.workspace_id == issue.workspace_id`. Any divergence (future cross-workspace task scenarios, data repairs, migration bugs) would cause: - dirty queue rows with workspace_id from agent - recompute join filtering by workspace_id from issue - 0 matches in recompute → bucket erroneously hits the deleted_empty branch and the daily row is silently dropped - dirty_from_updates path attributing usage to the wrong workspace Replaced both CTEs to JOIN agent (not issue) so trigger / discovery / recompute share one workspace_id source. Comment in 077 explains the constraint. N1: Refreshed two stale references in cmd/backfill_task_usage_daily/main.go (header now says "072..078"; stampWatermark warning now mentions migration 073, where the rollup state table is actually introduced). Test: New TestRollupTaskUsageDaily_WorkspaceMismatch constructs an atq with agent.workspace_id != issue.workspace_id, asserts the bucket lands under agent's workspace (not issue's), and re-asserts after a runtime reassign in the foreign workspace. Acts as a canary if the schema invariant changes. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> --------- Co-authored-by: Eve <eve@multica.ai> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: multica-agent <github@multica.ai> Co-authored-by: Devv <devv@Devvs-Mac-mini.local> |
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f628e48775 |
refactor(server): error-returning ParseUUID to prevent silent data loss
* refactor(server): make ParseUUID error-returning to prevent silent data loss (MUL-1410) util.ParseUUID previously swallowed errors and returned a zero pgtype.UUID on invalid input. When this zero UUID reached a write query (DELETE/UPDATE), the SQL matched zero rows and the handler returned 2xx success — producing silent data corruption. #1661 (DeleteIssue with identifier-style ID) was the visible symptom; PR #1680 patched that one site, this commit closes the class of bug. Changes: - util.ParseUUID now returns (pgtype.UUID, error). Add util.MustParseUUID for trusted round-trips that should panic on invalid input. - handler/handler.go: parseUUID wrapper now calls MustParseUUID — any unguarded user-input string reaching it surfaces as a recovered panic (chi middleware.Recoverer → 500) instead of silently corrupting data. Add parseUUIDOrBadRequest(w, s, fieldName) for handler entry points. - Convert every Queries.Delete*/Update* call site reachable from raw user input (autopilot, comment, project, skill, skill_file, label, pin, attachment, feedback, issue assignee, daemon runtime, workspace) to validate UUIDs explicitly with parseUUIDOrBadRequest, returning 400 on invalid input. Where a resolved entity.ID is already in scope, write queries now use it directly instead of re-parsing the URL string. - Update getWorkspaceMember + loadIssueForUser to handle invalid UUIDs gracefully (404/400 instead of panic). - Update util/middleware/cmd-level callers (subscriber_listeners, notification_listeners, activity_listeners, scope_authorizer, middleware/workspace) to use the error-returning API. - Add server/internal/util/pgx_test.go covering valid/invalid input and the MustParseUUID panic contract. - Add TestDeleteIssueByIdentifier + TestDeleteIssueRejectsInvalidUUID regression tests in handler_test.go (the original #1661 bug + the invalid-input case). - Document the handler UUID parsing convention in CLAUDE.md so the rule is enforceable in future PR review. * fix(server): address GPT-Boy review of #1748 P1 fixes from PR #1748 review: 1. Migrate remaining request-boundary UUIDs to parseUUIDOrBadRequest so malformed input returns 400 instead of panic/500. Was missing on: - issue.go: workspace_id in CreateIssue/ChildIssueProgress/ListIssues/ SearchIssues/BatchUpdateIssues/BatchDeleteIssues; project_id / parent_issue_id / lead_id / assignee_id / assignee_ids / creator_id filters; batch issue_ids and assignee/parent/project fields in BatchUpdateIssues (skip on bad input via util.ParseUUID, matching the existing per-row continue semantics). - project.go: project id + workspace_id in GetProject/UpdateProject/ DeleteProject; lead_id in CreateProject/UpdateProject; workspace_id in ListProjects + SearchProjects. - handler.go: resolveActor now uses util.ParseUUID for X-Agent-ID / X-Task-ID headers; invalid UUID falls back to "member" (matches pre-existing semantics) instead of panicking. - issue.go: validateAssigneePair returns 400 on invalid workspace_id instead of panicking. 2. Fix issue:deleted WS event payloads to emit uuidToString(issue.ID) instead of the raw URL string. After an identifier-path delete ("MUL-7"), the previous payload would have leaked the identifier to subscribers, leaving stale entries in frontend caches that key by UUID. Updated DeleteIssue (issue.go:1341) and BatchDeleteIssues (issue.go:1641). The slog "issue deleted" log line also now records the resolved UUID so logs match the WS payload. 3. Extend TestDeleteIssueByIdentifier to subscribe to the bus and assert issue:deleted.payload.issue_id is the resolved UUID, not the identifier. * fix(server): validate remaining reviewed UUID inputs * fix(server): validate remaining handler UUID inputs * fix(server): finish request boundary UUID audit * fix(server): validate remaining request body UUIDs * fix(server): validate runtime path UUIDs * fix(server): validate remaining audit UUID inputs --------- Co-authored-by: Eve <eve@multica.ai> |
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a36252ca99 |
refactor(runtime): derive runtime usage from task_usage only (#1167)
* refactor(runtime): derive runtime usage from task_usage only
The daemon used to scan each runtime's local CLI log directory every 5
minutes (Claude Code, Codex, OpenCode, OpenClaw, Hermes) and post daily
aggregates to /api/daemon/runtimes/{id}/usage. Those directories are
shared with the user's own local CLI sessions, so the user's personal
usage was being counted as Daemon-executed usage. Cursor and Gemini had
no scanner at all, so their runtime-level aggregates were always zero.
Switch GetRuntimeUsage to aggregate task_usage (already scoped to
Daemon-executed tasks) via agent_task_queue.runtime_id. Single source of
truth; Cursor/Gemini/Copilot get runtime usage for free; no reliance on
external CLI log formats.
Removes:
- server/internal/daemon/usage/ (all scanners)
- Daemon.usageScanLoop + providerToRuntimeMap
- Client.ReportUsage
- ReportRuntimeUsage handler + POST /api/daemon/runtimes/{id}/usage
- UpsertRuntimeUsage / GetRuntimeUsageSummary queries
- runtime_usage table (migration 046)
Refs: MUL-786
* fix(runtime): bucket daily usage by task_usage.created_at, not enqueue time
ListRuntimeUsage was aggregating by DATE(atq.created_at) and filtering
on atq.created_at. agent_task_queue.created_at is the enqueue timestamp,
which drifts from actual token-production time: a task queued at 23:58
and executed at 00:05 was attributed to yesterday; a task sitting in
the queue overnight was counted on the queue day.
The ?days=N cutoff also became a rolling window (now() - N) instead of
a calendar-day boundary, silently clipping the morning of the earliest
day returned.
Switch bucket + filter to task_usage.created_at (~= task completion /
usage-report time) and snap the since cutoff to start-of-day via
DATE_TRUNC.
Add a regression test covering both scenarios: cross-midnight task
attributes to the day tokens were reported, and the earliest day's
pre-cutoff rows are still included.
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