Ali Zarinkolah 012b44d5f2 feat(observability): backfill logging for upload, auth, and domain services
Why:
- resolve_auth_context() runs on every authenticated request and logged
  nothing; four distinct rejection reasons (malformed/unknown/inactive/
  expired key, inactive tenant) were all invisible.
- The domain-allowlist rejection in upload_source_file() happens before any
  ingestion_jobs row exists, so it wasn't covered by the job-level
  ingestion.job.failed event either -- a rejected upload left zero trace.
- Four of upload_source_file()'s five failure branches (parse_failed,
  chunk_limit_exceeded, embedding_failed, index_failed) called
  _mark_job_failed(), which wrote to Postgres but never logged; only
  storage_failed and timeout had an ad-hoc logger.warning duplicated at their
  own call sites.

Changes:
- auth/service.py: auth.succeeded / auth.failed (with a reason field per
  rejection type), matching ADR-0011's own event catalog.
- domains/service.py: domain.rejected on the allowlist check;
  domain.created / domain.updated / domain.status_changed on the three
  mutations.
- files/upload.py: centralized failure logging inside _mark_job_failed
  (every failure branch already calls it, so logging there once closes all
  five branches instead of duplicating a log call at each site) as
  ingestion.job.failed; added ingestion.job.started; renamed the ad-hoc
  files.upload.succeeded to ingestion.job.completed for catalog consistency.

Impact:
- None to request/response behavior -- log events only.
2026-08-20 19:24:39 +03:30
2026-08-02 15:52:46 +03:30

Talie chatbot service

Architecture decisions live in docs/adr. The first implementation milestone is documented in the ingestion vertical-slice plan.

Provisioning the datastores

Both schema steps run as explicit deployment steps. The application performs no DDL at startup — not for Postgres (ADR-0009) and not for Qdrant (ADR-0001, "Collection provisioning").

docker compose up -d                          # Postgres, MinIO, Qdrant
uv run alembic upgrade head                   # Postgres schema
uv run python -m src.cli.qdrant_bootstrap     # the `chunks` collection
uv run fastapi dev src/main.py

Before a tenant can upload, its domains must be registered — POST /v1/files rejects an unregistered or disabled domain with 400. The calling backend manages them over /v1/domains using a key with the domains:write scope:

curl -X POST http://localhost:8000/v1/domains \
  -H "Authorization: Bearer $API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{"domain": "fire", "display_name": "Fire insurance"}'

Both bootstrap commands are idempotent and safe to re-run. qdrant_bootstrap verifies an existing collection against the pinned schema and exits non-zero on a mismatch, rather than leaving a silently degraded sparse index in place.

Local Langfuse

This repo includes a root-level development Compose file for Langfuse:

Start Langfuse locally:

cp .env.langfuse.example .env.langfuse
# edit .env.langfuse and replace CHANGE_ME values

docker compose --env-file .env.langfuse -f docker-compose.langfuse.yml up -d

Open:

http://localhost:3000

If the chatbot app runs on your host machine, configure it with:

LANGFUSE_HOST=http://localhost:3000

If the chatbot app later runs inside the same Compose project/network as Langfuse, configure it with:

LANGFUSE_HOST=http://langfuse-web:3000

A future app stack can be launched together with Langfuse using multiple Compose files:

docker compose \
  -f docker-compose.yml \
  -f docker-compose.langfuse.yml \
  --env-file .env \
  --env-file .env.langfuse \
  up -d
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