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/bootstrap/dependencies.py

@@ -9,6 +9,7 @@ from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker
 
 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.config import Settings
 
 
@@ -20,6 +21,7 @@ class AppResources:
     minio_client: Minio
     qdrant_client: AsyncQdrantClient
     object_storage: ObjectStorage
+    point_storage: PointStorage
     ingestion_limiter: CapacityLimiter
     dense_embedders: Sequence[DenseEmbedder]
     sparse_embedder: SparseEmbedder
@@ -46,6 +48,10 @@ def get_object_storage(request: Request) -> ObjectStorage:
     return _resources(request).object_storage
 
 
+def get_point_storage(request: Request) -> PointStorage:
+    return _resources(request).point_storage
+
+
 def get_ingestion_limiter(request: Request) -> CapacityLimiter:
     return _resources(request).ingestion_limiter