Why:
- POST /v1/files was reporting chunks_indexed=0/points_created=0 unconditionally
— chunks were parsed and embedded but never written to Qdrant, so nothing
was actually searchable after upload.
Changes:
- upload_source_file() now calls index_chunks() after embedding, inside the
same INGESTION_TIMEOUT_SECONDS window, and marks the job failed
(error_code=index_failed, 502) if it raises.
- Job counters (points_created, points_soft_deleted) and the response's
chunks_indexed now reflect the real indexing result instead of a hardcoded
zero.
- Wired PointStorage through AppResources/lifespan/the files router.
Impact:
- A successful upload is now searchable in Qdrant by the time 201 returns.
Why:
- Plan 001 Phase 4 needs batched, concurrency-bounded embedding wired into
the inline upload path, with process-wide capacity/timeout/chunk-limit
guards (ADR-0017).
- The BM25 analyzer and dense-model config are ported from the `emet`
evaluation lab, which benchmarked them against the real Farsi corpus
(bm25-fa-norm-stop; nomic-embed-text-v2-moe at 768-dim; text-embedding-3-large
at native 3072-dim), closing open items in ADR-0001/ADR-0005.
Changes:
- New: embedding ports, orchestration (embed_chunks), request-bounds
helpers, and dense/sparse adapters (analyzers.py, bm25.py,
openai_compatible.py).
- upload.py now parses/chunks/embeds inline behind INGESTION_MAX_CONCURRENCY
(503), INGESTION_TIMEOUT_SECONDS (504), and the chunk-count ceiling (413);
every failure path still writes a terminal job row.
- Lifespan builds and warms both dense embedders at startup (fail-soft) and
creates the sparse embedder and concurrency semaphore.
- httpx moves from dev to main dependencies (adapters use it directly).
Impact:
- Qdrant point upserts are still Phase 5 -- chunks_indexed stays 0.
- New EMBEDDING_* env vars documented in .env.example; safe defaults.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
