feat(ingestion): add bounded, benchmark-aligned embedding execution

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>
This commit is contained in:
2026-08-19 17:13:32 +03:30
parent aa6d595424
commit 5c0a5938f8
33 changed files with 2455 additions and 536 deletions

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"""Request bounds for inline ingestion (ADR-0017).
Three independent bounds, each mapping to its own status code: the chunk
ceiling (`413`, checked before embedding starts), process-wide concurrency
(`503` + `Retry-After`, rejected rather than queued), and the work-phase
deadline (`504`, and the caller must still write a terminal job status).
"""
from collections.abc import AsyncIterator, Sequence
from contextlib import asynccontextmanager
from anyio import Semaphore, WouldBlock
from src.application.ingestion.errors import ChunkLimitExceededError, IngestionAtCapacityError
from src.application.ingestion.models import Chunk
def enforce_chunk_limit(chunks: Sequence[Chunk], *, max_chunks: int) -> None:
"""Raise `ChunkLimitExceededError` if `chunks` exceeds `max_chunks`.
Call this immediately after parsing/chunking and before any embedding
call — the ceiling must be discovered up front, not mid-batch.
"""
if len(chunks) > max_chunks:
raise ChunkLimitExceededError(
f"document produced {len(chunks)} chunks, over the {max_chunks}-chunk limit"
)
@asynccontextmanager
async def acquire_ingestion_slot(limiter: Semaphore) -> AsyncIterator[None]:
"""Hold one of `INGESTION_MAX_CONCURRENCY` process-wide slots for the block.
`limiter` is an `anyio.Semaphore` created once in the lifespan. Rejects
immediately with `IngestionAtCapacityError` when the process is already at
capacity, rather than queueing the request behind an unbounded wait
(ADR-0017) — the semaphore's own async `acquire()` would do the latter.
"""
try:
limiter.acquire_nowait()
except WouldBlock:
raise IngestionAtCapacityError(
"ingestion is at capacity; retry after the configured backoff"
) from None
try:
yield
finally:
limiter.release()