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chore: import upstream snapshot with attribution
2026-07-13 13:33:44 +08:00

57 lines
1.5 KiB
Python

"""Task dispatcher abstraction for background document processing.
Decouples the upload endpoint from Celery so tests can swap in a
synchronous (inline) implementation that needs only PostgreSQL.
"""
from __future__ import annotations
from typing import Protocol
class TaskDispatcher(Protocol):
async def dispatch_file_processing(
self,
*,
document_id: int,
temp_path: str,
filename: str,
workspace_id: int,
user_id: str,
use_vision_llm: bool = False,
processing_mode: str = "basic",
) -> None: ...
class CeleryTaskDispatcher:
"""Production dispatcher — fires Celery tasks via Redis broker."""
async def dispatch_file_processing(
self,
*,
document_id: int,
temp_path: str,
filename: str,
workspace_id: int,
user_id: str,
use_vision_llm: bool = False,
processing_mode: str = "basic",
) -> None:
from app.tasks.celery_tasks.document_tasks import (
process_file_upload_with_document_task,
)
process_file_upload_with_document_task.delay(
document_id=document_id,
temp_path=temp_path,
filename=filename,
workspace_id=workspace_id,
user_id=user_id,
use_vision_llm=use_vision_llm,
processing_mode=processing_mode,
)
async def get_task_dispatcher() -> TaskDispatcher:
return CeleryTaskDispatcher()