[modify] rag file system
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@@ -305,38 +305,25 @@ async def parse_documents(
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detail="The file does not exist or you do not have permission to access it"
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)
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# 3. Construct file path:/files/{kb_id}/{parent_id}/{file.id}{file.file_ext}
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file_path = os.path.join(
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settings.FILE_PATH,
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str(db_file.kb_id),
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str(db_file.parent_id),
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f"{db_file.id}{db_file.file_ext}"
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)
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# 4. Check if the file exists
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api_logger.debug(f"Constructed file path: {file_path}")
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api_logger.debug(f"File metadata - kb_id: {db_file.kb_id}, parent_id: {db_file.parent_id}, file_id: {db_file.id}, extension: {db_file.file_ext}")
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if not os.path.exists(file_path):
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api_logger.error(f"File not found (possibly deleted): file_path={file_path}, file_id={db_file.id}, document_id={document_id}")
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# 3. Get file_key for storage backend
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if not db_file.file_key:
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api_logger.error(f"File has no storage key (legacy data not migrated): file_id={db_file.id}")
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="File not found (possibly deleted)"
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detail="File has no storage key (legacy data not migrated)"
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)
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# 5. Obtain knowledge base information
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api_logger.info( f"Obtain details of the knowledge base: knowledge_id={db_document.kb_id}")
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# 4. Obtain knowledge base information
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api_logger.info(f"Obtain details of the knowledge base: knowledge_id={db_document.kb_id}")
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db_knowledge = knowledge_service.get_knowledge_by_id(db, knowledge_id=db_document.kb_id, current_user=current_user)
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if not db_knowledge:
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api_logger.warning(f"The knowledge base does not exist or access is denied: knowledge_id={db_document.kb_id}")
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="The knowledge base does not exist or access is denied"
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)
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raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Knowledge base not found")
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# 6. Task: Document parsing, vectorization, and storage
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# from app.tasks import parse_document
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# parse_document(file_path, document_id)
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task = celery_app.send_task("app.core.rag.tasks.parse_document", args=[file_path, document_id])
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# 5. Dispatch parse task with file_key (not file_path)
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task = celery_app.send_task(
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"app.core.rag.tasks.parse_document",
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args=[db_file.file_key, document_id, db_file.file_name]
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)
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result = {
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"task_id": task.id
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}
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