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* fix(threads): clean up local thread data after thread deletion Delete DeerFlow-managed thread directories after the web UI removes a LangGraph thread. This keeps local thread data in sync with conversation deletion and adds regression coverage for the cleanup flow. * fix(threads): address thread cleanup review feedback Encode thread cleanup URLs in the web client, keep cache updates explicit when no thread search data is cached, and return a generic 500 response from the cleanup endpoint while documenting the sanitized error behavior. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
import logging
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from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from deerflow.config.paths import Paths, get_paths
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/threads", tags=["threads"])
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class ThreadDeleteResponse(BaseModel):
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"""Response model for thread cleanup."""
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success: bool
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message: str
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def _delete_thread_data(thread_id: str, paths: Paths | None = None) -> ThreadDeleteResponse:
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"""Delete local persisted filesystem data for a thread."""
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path_manager = paths or get_paths()
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try:
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path_manager.delete_thread_dir(thread_id)
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except ValueError as exc:
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raise HTTPException(status_code=422, detail=str(exc)) from exc
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except Exception as exc:
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logger.exception("Failed to delete thread data for %s", thread_id)
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raise HTTPException(status_code=500, detail="Failed to delete local thread data.") from exc
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logger.info("Deleted local thread data for %s", thread_id)
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return ThreadDeleteResponse(success=True, message=f"Deleted local thread data for {thread_id}")
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@router.delete("/{thread_id}", response_model=ThreadDeleteResponse)
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async def delete_thread_data(thread_id: str) -> ThreadDeleteResponse:
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"""Delete local persisted filesystem data for a thread.
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This endpoint only cleans DeerFlow-managed thread directories. LangGraph
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thread state deletion remains handled by the LangGraph API.
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"""
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return _delete_thread_data(thread_id)
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