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feat(sketch-db): GET /api/v1/db/timeline — §15.3 schema timeline read API - #25

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@zzylol zzylol commented Apr 17, 2026

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Summary

Companion to PR #23's /api/v1/db/schemas. Exposes SchemaRegistry::timeline_for_metric over HTTP so operators can answer "which agg_id served this slice of history?" from a curl.

  • Required params: metric, start_ms, end_ms.
  • Returns per-segment {agg_id, start_ms, end_ms, status, coverage} — same shape Rust callers already see.
  • 400 on missing/unparsable params; 503 on unattached registry (matches /schemas behaviour).

Test plan

  • End-to-end reconfigure test: two POSTs to /streaming-config with 5ms spacing, then timeline? returns retired + active segment pair.
  • Bad-param and missing-registry coverage.
  • 570 lib tests pass (up from 567).
  • clippy + fmt clean.

🤖 Generated with Claude Code

… API

Companion to PR #23's `/api/v1/db/schemas`. Exposes
`SchemaRegistry::timeline_for_metric` over HTTP so operators and
external tooling can answer "which agg_id served this slice of
history?" without attaching a debugger.

Required params: `metric` (string), `start_ms` (u64 millis),
`end_ms` (u64 millis). Missing or unparsable params return 400;
unattached registry returns 503 (matches the schemas endpoint).
Response includes per-segment `{agg_id, start_ms, end_ms, status,
coverage}` — the same shape `timeline_for_metric` already returns
to Rust callers.

3 new integration tests cover:
* end-to-end reconfigure: two POSTs to `/api/v1/streaming-config`,
  then assert `timeline?metric=...&start=...&end=...` returns the
  retired + active segment pair (with a 5ms spacing between posts so
  neither schema ends up with zero-width ownership at ms resolution),
* missing/malformed params → 400,
* missing registry → 503.

570 lib tests pass (up from 567); clippy + fmt clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@zzylol
zzylol merged commit dcb9118 into main Apr 17, 2026
@zzylol
zzylol deleted the sketchdb/timeline-endpoint branch April 17, 2026 21:19
zzylol added a commit that referenced this pull request Apr 17, 2026
Operator + controller-facing HTTP surface for §10.2 backfill jobs.
Endpoints return a stable JSON shape so the DC controller can
POST jobs + poll progress without attaching a debugger, and the
`/jobs/:id` detail is the same data Phase 5f's coverage tracker
will consult.

## New endpoints

| Method | Path | Purpose |
|---|---|---|
| POST   | `/api/v1/db/backfill`         | Create a queued job. Body `{agg_id, start_ms, end_ms, source, windows_total}`. Returns 201 with `{job_id}`. |
| GET    | `/api/v1/db/backfill/jobs`    | List, optional `?status=queued|running|complete|failed|cancelled|all` filter. Sorted by job_id. |
| GET    | `/api/v1/db/backfill/jobs/:id`| Detail (including `progress`, `windows_done`, timestamps, and any `error_message`). |
| DELETE | `/api/v1/db/backfill/jobs/:id`| Cancel non-terminal job. 200 on success, 404 unknown, 409 if already terminal. |

Consistent with the §15.2/§15.3 endpoints from PR #23 / PR #25:
- 503 when `HttpServer` wasn't built with `with_backfill_registry`.
- 400 on malformed body or inverted range.
- Response JSON tagged `{status: "success"|"error", ...}`.

## Wire-up

* `HttpServer` gains `with_backfill_registry()` alongside
  `with_schemas()` / `with_hot_reload_config()`.
* `AppState` carries an `Option<Arc<BackfillRegistry>>` so each
  handler can bail to 503 cleanly when the registry isn't
  attached.
* `main.rs` always creates a fresh `Arc<BackfillRegistry>` and
  attaches it — no CLI flag required. Without Phase 5e's worker
  pool, jobs stay `Queued` forever but are still visible + can be
  cancelled, which is useful shadow-mode for validating the DC
  controller's REFRESH dispatch logic before the worker arrives.

## Test plan

- [x] 5 new integration tests:
  * Full lifecycle: POST → GET one → GET list → GET filtered lists
    (both `queued` matches and `running` is zero) → DELETE cancels
    → second DELETE is 409.
  * POST with inverted range → 400.
  * GET on unknown id → 404.
  * All endpoints return 503 when no registry is attached.
  * GET `jobs?status=junk` → 400.
- [x] 625 lib tests pass (up from 620).
- [x] clippy + fmt clean.

## Next phase

5e: real `WindowProcessor` that builds the target sketch from raw
samples and writes per-window precomputes into the store through
the §6.3 schema barrier. When 5e merges, POSTing a backfill job
will actually rebuild history.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
zzylol added a commit that referenced this pull request Apr 17, 2026
Operator + controller-facing HTTP surface for §10.2 backfill jobs.
Endpoints return a stable JSON shape so the DC controller can
POST jobs + poll progress without attaching a debugger, and the
`/jobs/:id` detail is the same data Phase 5f's coverage tracker
will consult.

## New endpoints

| Method | Path | Purpose |
|---|---|---|
| POST   | `/api/v1/db/backfill`         | Create a queued job. Body `{agg_id, start_ms, end_ms, source, windows_total}`. Returns 201 with `{job_id}`. |
| GET    | `/api/v1/db/backfill/jobs`    | List, optional `?status=queued|running|complete|failed|cancelled|all` filter. Sorted by job_id. |
| GET    | `/api/v1/db/backfill/jobs/:id`| Detail (including `progress`, `windows_done`, timestamps, and any `error_message`). |
| DELETE | `/api/v1/db/backfill/jobs/:id`| Cancel non-terminal job. 200 on success, 404 unknown, 409 if already terminal. |

Consistent with the §15.2/§15.3 endpoints from PR #23 / PR #25:
- 503 when `HttpServer` wasn't built with `with_backfill_registry`.
- 400 on malformed body or inverted range.
- Response JSON tagged `{status: "success"|"error", ...}`.

## Wire-up

* `HttpServer` gains `with_backfill_registry()` alongside
  `with_schemas()` / `with_hot_reload_config()`.
* `AppState` carries an `Option<Arc<BackfillRegistry>>` so each
  handler can bail to 503 cleanly when the registry isn't
  attached.
* `main.rs` always creates a fresh `Arc<BackfillRegistry>` and
  attaches it — no CLI flag required. Without Phase 5e's worker
  pool, jobs stay `Queued` forever but are still visible + can be
  cancelled, which is useful shadow-mode for validating the DC
  controller's REFRESH dispatch logic before the worker arrives.

## Test plan

- [x] 5 new integration tests:
  * Full lifecycle: POST → GET one → GET list → GET filtered lists
    (both `queued` matches and `running` is zero) → DELETE cancels
    → second DELETE is 409.
  * POST with inverted range → 400.
  * GET on unknown id → 404.
  * All endpoints return 503 when no registry is attached.
  * GET `jobs?status=junk` → 400.
- [x] 625 lib tests pass (up from 620).
- [x] clippy + fmt clean.

## Next phase

5e: real `WindowProcessor` that builds the target sketch from raw
samples and writes per-window precomputes into the store through
the §6.3 schema barrier. When 5e merges, POSTing a backfill job
will actually rebuild history.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
zzylol added a commit that referenced this pull request Apr 20, 2026
…able stats (#48)

Task #34 gap #1 of 3. The §7 schema-timeline primitive
(`SchemaRegistry::timeline_for_metric`) and the cross-schema
combiner (`engines::timeline_dispatch::combine_statistic`)
landed in PRs #20 / #22 / #25, but `SimpleEngine::handle_query_promql`
was still resolving a single `agg_id` via `resolve_agg_info_promql`
and running the full query against it. A query whose time range
spans a reconfigure boundary (old `agg_id` retired, new
`agg_id` created) saw a data cliff for the pre-boundary slice.

This PR wires the dispatcher:

* New `SimpleEngine::try_handle_query_promql_via_timeline`:
  1. Parse + pattern-match the query, extract metric name.
  2. Build a probe `QueryExecutionContext` to read the
     resolved `[t1, t2]` + `Statistic`.
  3. Call `timeline_for_query(metric, t1, t2)`. Bail out
     with `None` (fall-through to default single-agg path)
     if fewer than two segments, or if the statistic is
     non-combinable (quantile / topk / cardinality / rate
     / increase — those follow in PR B2 with a Partial
     HTTP response surface).
  4. Per segment: reuse `build_query_execution_context_promql_for_agg_id`
     from PR #37 (the extracted forced-agg-id entry point),
     clip the store plan's `[start, end]` to the segment's
     bounds, execute, collect results.
  5. Group by label-tuple and fold per-group per-segment
     scalars through `combine_statistic`. Emit the combined
     scalar as an `InstantVectorElement`. Purged segments
     or segments whose `agg_id` is no longer in the config
     go into `unresolved` so the combiner sees them.

* `handle_query_promql` now tries the timeline path first;
  returns immediately on `Some`, falls through to the
  existing single-agg path on `None`. Zero behavior change
  when the timeline has 0–1 segments for the query's metric
  (the common case today).

## Scope

Combinable stats only: Count / Sum / Min / Max. Non-combinable
stats still take the single-agg path — PR B2 will surface
`CombinedResult::Partial` on the HTTP response so users see
`{covered, missing: [segments]}` explicitly instead of a
silent data cliff.

## Validation

- `cargo test -p query_engine_rust --lib` — 728 pass (baseline
  unchanged; the dispatcher stays dormant when tests only
  register one schema per metric).
- `cargo clippy --all-targets -- -D warnings` — clean
- `cargo fmt --all -- --check` — clean

## Follow-ups (explicit non-scope here)

- **Integration test** seeding two agg_ids + cross-boundary
  Sum query. Requires the full `PrecomputeEngine` setup
  harness the existing e2e tests use; deferred as a
  dedicated PR so this one stays a focused dispatcher
  patch.
- **PR B2**: Partial response surface for non-combinable
  stats on the HTTP adapter.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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