| | |
| | | title_number = receive_message.get('title_number', 8) |
| | | title_style = receive_message.get('title_style', "") |
| | | title_query = receive_message.get('title_query', "") |
| | | is_clean = receive_message.get('is_clean', 0) |
| | | file_type = receive_message.get('file_type', 1) |
| | | max_token = receive_message.get('max_tokens', 100000) |
| | | tokens = receive_message.get('tokens', 0) |
| | | if upload_files: |
| | | title_query = "start" |
| | | # if not upload_files: |
| | |
| | | } |
| | | files = [] |
| | | for file in upload_files: |
| | | if file_type == 1: |
| | | files.append({ |
| | | "type": "document", |
| | | "transfer_method": "local_file", |
| | | "url": "", |
| | | "upload_file_id": file |
| | | }) |
| | | else: |
| | | files.append({ |
| | | "type": "document", |
| | | "transfer_method": "remote_url", |
| | | "url": file, |
| | | "upload_file_id": "" |
| | | }) |
| | | inputs_list = [] |
| | | token_list = [] |
| | | if workflow_type == 1: |
| | | inputs["input_files"] = files |
| | | elif workflow_type == 2: |
| | | inputs_list.append(inputs) |
| | | token_list.append(token) |
| | | elif workflow_type == 2 and is_clean == 0: |
| | | inputs["file_list"] = files |
| | | inputs["Completion_of_main_indicators"] = title |
| | | inputs["sub_titles"] = sub_titles |
| | |
| | | if not token: |
| | | await websocket.send_json( |
| | | {"message": "Invalid token document_to_report", "type": "error"}) |
| | | inputs_list.append(inputs) |
| | | token_list.append(token) |
| | | elif workflow_type == 3: |
| | | inputs["file_list"] = files |
| | | inputs["number_of_title"] = title_number |
| | |
| | | if not token: |
| | | await websocket.send_json( |
| | | {"message": "Invalid token document_to_title", "type": "error"}) |
| | | # inputs_list.append(inputs) |
| | | # token_list.append(token) |
| | | elif workflow_type == 2 and is_clean == 1: |
| | | # inputs["input_files"] = files |
| | | inputs_list.append(inputs) |
| | | token_list.append(token) |
| | | inputs1 = {} |
| | | # inputs1["file_list"] = files |
| | | inputs1["Completion_of_main_indicators"] = title |
| | | inputs1["sub_titles"] = sub_titles |
| | | token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_REPORT_TITLE) |
| | | if not token: |
| | | await websocket.send_json( |
| | | {"message": "Invalid token document_to_report", "type": "error"}) |
| | | inputs_list.append(inputs1) |
| | | token_list.append(token) |
| | | |
| | | complete_response = "" |
| | | if workflow_type == 1 or workflow_type == 2: |
| | | for inputs in inputs_list: |
| | | inputs["input_files"] = files |
| | | async for rag_response in dify_service.workflow(token, current_user.id, inputs): |
| | | # print(rag_response) |
| | | try: |
| | |
| | | download_url = outputs.get("download_url", "") |
| | | else: |
| | | message = answer.get("error", "") |
| | | |
| | | if download_url: |
| | | files = [{ |
| | | "type": "document", |
| | | "transfer_method": "remote_url", |
| | | "url": download_url, |
| | | "upload_file_id": "" |
| | | }] |
| | | result = {"message": message, "type": "message", "download_url": download_url} |
| | | try: |
| | | SessionService(db).update_session(chat_id, |