Files
chatbot_v3/src/api/errors.py
Ali Zarinkolah 5c0a5938f8 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>
2026-08-19 17:13:32 +03:30

121 lines
4.6 KiB
Python

"""Maps application exceptions to the ADR-0008 error envelope.
This is the single place that knows the exception-type -> status-code
mapping; application/infrastructure code never imports FastAPI or raises
`HTTPException` (ADR-0015).
"""
import structlog
from fastapi import FastAPI, Request, status
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from starlette.exceptions import HTTPException as StarletteHTTPException
from src.application.auth.errors import (
InvalidApiKeyError,
MissingScopeError,
TenantInactiveError,
)
from src.application.files.errors import FileTooLargeError, InvalidUploadError
from src.application.ingestion.errors import (
ChunkLimitExceededError,
DocumentParseError,
EmbedderError,
IngestionAtCapacityError,
IngestionTimeoutError,
UnsupportedSourceTypeError,
)
logger = structlog.get_logger(__name__)
# A fixed backoff hint, not a computed retry budget: ADR-0017 rejects a
# request outright at capacity rather than queueing it, so there is no
# in-process estimate of when a slot will free up to report instead.
_CAPACITY_RETRY_AFTER_SECONDS = 1
# (exception type, status code, stable error code)
_MAPPING: tuple[tuple[type[Exception], int, str], ...] = (
(InvalidApiKeyError, status.HTTP_401_UNAUTHORIZED, "invalid_api_key"),
(TenantInactiveError, status.HTTP_401_UNAUTHORIZED, "tenant_not_found"),
(MissingScopeError, status.HTTP_403_FORBIDDEN, "missing_scope"),
(InvalidUploadError, status.HTTP_400_BAD_REQUEST, "validation_error"),
(DocumentParseError, status.HTTP_400_BAD_REQUEST, "validation_error"),
(UnsupportedSourceTypeError, status.HTTP_415_UNSUPPORTED_MEDIA_TYPE, "unsupported_media_type"),
(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"),
(IngestionTimeoutError, status.HTTP_504_GATEWAY_TIMEOUT, "ingestion_timeout"),
)
def _request_id(request: Request) -> str | None:
return getattr(request.state, "request_id", None)
def _envelope(
code: str, message: str, request_id: str | None, details: dict[str, object] | None = None
) -> dict[str, object]:
return {
"error": {
"code": code,
"message": message,
"details": details or {},
"request_id": request_id,
}
}
def register_exception_handlers(app: FastAPI) -> None:
for exc_type, status_code, error_code in _MAPPING:
def _handler(
request: Request,
exc: Exception,
status_code: int = status_code,
error_code: str = error_code,
) -> JSONResponse:
return JSONResponse(
status_code=status_code,
content=_envelope(error_code, str(exc), _request_id(request)),
)
app.add_exception_handler(exc_type, _handler)
@app.exception_handler(IngestionAtCapacityError)
def _capacity_handler(request: Request, exc: IngestionAtCapacityError) -> JSONResponse:
return JSONResponse(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
content=_envelope("ingestion_at_capacity", str(exc), _request_id(request)),
headers={"Retry-After": str(_CAPACITY_RETRY_AFTER_SECONDS)},
)
@app.exception_handler(RequestValidationError)
def _validation_handler(request: Request, exc: RequestValidationError) -> JSONResponse:
return JSONResponse(
status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
content=_envelope(
"validation_error",
"request validation failed",
_request_id(request),
details={"errors": exc.errors()},
),
)
@app.exception_handler(StarletteHTTPException)
def _http_exception_handler(request: Request, exc: StarletteHTTPException) -> JSONResponse:
code = "not_found" if exc.status_code == status.HTTP_404_NOT_FOUND else "http_error"
return JSONResponse(
status_code=exc.status_code,
content=_envelope(code, str(exc.detail), _request_id(request)),
)
@app.exception_handler(Exception)
def _unhandled_exception_handler(request: Request, exc: Exception) -> JSONResponse:
logger.exception("api.unhandled_exception", path=request.url.path)
return JSONResponse(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
content=_envelope(
"internal_error", "an unexpected error occurred", _request_id(request)
),
)