feat(ingestion): index embedded chunks into Qdrant on upload

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.

src/api/errors.py

@@ -23,6 +23,7 @@ from src.application.ingestion.errors import (
     EmbedderError,
     IngestionAtCapacityError,
     IngestionTimeoutError,
+    PointIndexingError,
     UnsupportedSourceTypeError,
 )
 
@@ -44,6 +45,7 @@ _MAPPING: tuple[tuple[type[Exception], int, str], ...] = (
     (FileTooLargeError, status.HTTP_413_CONTENT_TOO_LARGE, "payload_too_large"),
     (ChunkLimitExceededError, status.HTTP_413_CONTENT_TOO_LARGE, "payload_too_large"),
     (EmbedderError, status.HTTP_502_BAD_GATEWAY, "embedder_error"),
+    (PointIndexingError, status.HTTP_502_BAD_GATEWAY, "index_error"),
     (IngestionTimeoutError, status.HTTP_504_GATEWAY_TIMEOUT, "ingestion_timeout"),
 )
 

src/api/routers/files.py

@@ -19,11 +19,13 @@ from src.application.files.status import get_file_status
 from src.application.files.upload import upload_source_file
 from src.application.ports.embedding import DenseEmbedder, SparseEmbedder
 from src.application.ports.object_storage import ObjectStorage
+from src.application.ports.point_storage import PointStorage
 from src.bootstrap.dependencies import (
     get_dense_embedders,
     get_ingestion_concurrency_limiter,
     get_ingestion_limiter,
     get_object_storage,
+    get_point_storage,
     get_sessionmaker,
     get_settings,
     get_sparse_embedder,
@@ -35,6 +37,7 @@ router = APIRouter(prefix="/files", tags=["files"])
 _RequireFilesWrite = Annotated[AuthContext, Depends(require_scope("files:write"))]
 _SessionmakerDep = Annotated[async_sessionmaker[AsyncSession], Depends(get_sessionmaker)]
 _ObjectStorageDep = Annotated[ObjectStorage, Depends(get_object_storage)]
+_PointStorageDep = Annotated[PointStorage, Depends(get_point_storage)]
 _SettingsDep = Annotated[Settings, Depends(get_settings)]
 _IngestionLimiterDep = Annotated[CapacityLimiter, Depends(get_ingestion_limiter)]
 _ConcurrencyLimiterDep = Annotated[Semaphore, Depends(get_ingestion_concurrency_limiter)]
@@ -50,6 +53,7 @@ async def upload_file(
     auth: _RequireFilesWrite,
     sessionmaker: _SessionmakerDep,
     storage: _ObjectStorageDep,
+    point_storage: _PointStorageDep,
     settings: _SettingsDep,
     limiter: _IngestionLimiterDep,
     concurrency_limiter: _ConcurrencyLimiterDep,
@@ -60,12 +64,14 @@ async def upload_file(
     result = await upload_source_file(
         sessionmaker=sessionmaker,
         storage=storage,
+        point_storage=point_storage,
         auth=auth,
         domain=domain,
         filename=file.filename or "",
         data=data,
         ingestion_settings=settings.ingestion,
         chunking_settings=settings.chunking,
+        qdrant_settings=settings.qdrant,
         thread_limiter=limiter,
         concurrency_limiter=concurrency_limiter,
         dense_embedders=dense_embedders,