Migrate the ingester queue storage from raw aiosqlite to SQLAlchemy Core
async. The backend is chosen by ingester.queue.dburi: a SQLAlchemy async
URL points the queue at a database server, and SQLite remains the default
when unset. The Postgres path claims jobs with FOR UPDATE SKIP LOCKED so
multiple ingester processes can share one queue; SQLite caps the pool to a
single connection to keep the select-then-update claim atomic.
Self-contained HTML status page served from the ingester's FastAPI app.
Polls /health, /sources, /stats, /jobs?status={claimed,dead,succeeded}
every 3s from the browser and renders queue chips, sources with
last-poll/skip-reason/circuit state, active jobs with cancel, recent
failures with retry, and recently-completed feed with op badges so
DELETE rows are visually distinct from UPSERTs. Zero external deps —
single static HTML, no CDN, no fonts, no images. Works offline.
To support the dashboard:
- New /stats endpoint exposing rolling throughput (5m/30m/1h), worker
occupancy, oldest-queued age, and per-source DLQ + queue-depth
breakdowns. Each field is a single SQL aggregation against the queue.
- JobRepo gains count_succeeded_since, oldest_queued_age_seconds,
counts_by_source.
- SourceSummary gains last_skip_reason. BasePoller now records the
reason the most recent sweep attempt was skipped ("pending_work" /
"circuit_open"), cleared on the next successful poll. Closes the
gap where operators couldn't tell from /sources alone why a source
wasn't picking up new work.
Auth: dashboard route is unauthenticated (markup only). The JS attaches
the bearer to its own JSON fetches; on 401 it prompts once and stashes
the token in localStorage.
Two Logfire fixes that landed alongside:
- Drop logfire.instrument_fastapi() and the [fastapi] extra. The control
plane is polled frequently (dashboard + docker healthcheck), so every
endpoint became a span and drowned the useful traces. logfire itself
stays — pulled in transitively via pydantic-ai-slim[logfire] — so
ingester.poller.* / ingester.job / document.* spans keep emitting.
- Wrap FSPoller._handle_watch_change in an ingester.poller.watch_event
span and pass _enqueue_extra. Without this, the watchfiles callback
ran with no active context, the _otel carrier in job.extra was empty,
and the worker's ingester.job span surfaced as an orphan trace root
instead of nesting under the FS event that caused it.
Migrate off two APIs slated for removal in pydantic-ai 2.0:
- Agent(tool_retries=, output_retries=) -> Agent(retries={"tools": ...,
"output": ...}) in the LLM-as-judge evaluator.
- Evaluator.evaluation_name class attribute -> overriding
get_default_evaluation_name() on the citation MRR / MAP evaluators.
haiku.skills 0.17.0 already migrated its internal AGUIAdapter,
MCPToolset and ProcessEventStream usage; no further changes needed on
our side beyond the pin bumps.
