| | |
| | | from Log import logger |
| | | from app.api import get_current_user_websocket |
| | | from app.config.config import settings |
| | | from app.config.const import IMAGE_TO_TEXT, DOCUMENT_TO_REPORT, DOCUMENT_TO_CLEANING, DOCUMENT_IA_QUESTIONS |
| | | from app.config.const import IMAGE_TO_TEXT, DOCUMENT_TO_REPORT, DOCUMENT_TO_CLEANING, DOCUMENT_IA_QUESTIONS, \ |
| | | DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE |
| | | from app.models import MenuCapacityModel |
| | | from app.models.agent_model import AgentModel, AgentType |
| | | from app.models.base_model import get_db |
| | |
| | | "upload_file_id": upload_file_id |
| | | }) |
| | | async for rag_response in dify_service.chat(token, current_user.id, question, files, |
| | | conversation_id): |
| | | conversation_id, {}): |
| | | # print(rag_response) |
| | | try: |
| | | if rag_response[:5] == "data:": |
| | |
| | | upload_files = receive_message.get('upload_files', []) |
| | | title = receive_message.get('title', "") |
| | | workflow_type = receive_message.get('workflow', 1) |
| | | if not upload_files: |
| | | await websocket.send_json({"message": "Invalid request", "type": "error"}) |
| | | continue |
| | | sub_titles = receive_message.get('sub_titles', "") |
| | | title_number = receive_message.get('title_number', 8) |
| | | title_style = receive_message.get('title_style', "") |
| | | title_query = receive_message.get('title_query', "") |
| | | if upload_files: |
| | | title_query = "start" |
| | | try: |
| | | session = SessionService(db).create_session( |
| | | chat_id, |
| | |
| | | if workflow_type == 2: |
| | | inputs["file_list"] = files |
| | | inputs["Completion_of_main_indicators"] = title |
| | | token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_REPORT) |
| | | inputs["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_cleaning", "type": "error"}) |
| | | elif workflow_type == 3: |
| | | inputs["file_list"] = files |
| | | inputs["number_of_title"] = title_number |
| | | inputs["title_style"] = title_style |
| | | token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_TITLE) |
| | | if not token: |
| | | await websocket.send_json( |
| | | {"message": "Invalid token document_to_title", "type": "error"}) |
| | | |
| | | complete_response = "" |
| | | async for rag_response in dify_service.workflow(token, current_user.id, inputs): |
| | | # print(rag_response) |
| | | try: |
| | | if rag_response[:5] == "data:": |
| | | # 如果是,则截取掉前5个字符,并去除首尾空白符 |
| | | complete_response = rag_response[5:].strip() |
| | | elif "event: ping" in rag_response: |
| | | continue |
| | | else: |
| | | # 否则,保持原样 |
| | | complete_response += rag_response |
| | | if workflow_type == 1 or workflow_type == 2: |
| | | async for rag_response in dify_service.workflow(token, current_user.id, inputs): |
| | | # print(rag_response) |
| | | try: |
| | | data = json.loads(complete_response) |
| | | complete_response = "" |
| | | if data.get("event") == "node_started" or data.get("event") == "node_finished": # "event": "message_end" |
| | | if "data" not in data or not data["data"]: # 信息过滤 |
| | | logger.error("非法数据--------------------") |
| | | logger.error(data) |
| | | continue |
| | | else: # 正常输出 |
| | | if rag_response[:5] == "data:": |
| | | # 如果是,则截取掉前5个字符,并去除首尾空白符 |
| | | complete_response = rag_response[5:].strip() |
| | | elif "event: ping" in rag_response: |
| | | continue |
| | | else: |
| | | # 否则,保持原样 |
| | | complete_response += rag_response |
| | | try: |
| | | data = json.loads(complete_response) |
| | | complete_response = "" |
| | | if data.get("event") == "node_started" or data.get("event") == "node_finished": # "event": "message_end" |
| | | if "data" not in data or not data["data"]: # 信息过滤 |
| | | logger.error("非法数据--------------------") |
| | | logger.error(data) |
| | | continue |
| | | else: # 正常输出 |
| | | answer = data.get("data", "") |
| | | if isinstance(answer, str): |
| | | logger.error("----------------未知数据--------------------") |
| | | logger.error(data) |
| | | continue |
| | | elif isinstance(answer, dict): |
| | | |
| | | message = answer.get("title", "") |
| | | |
| | | result = {"message": message, "type": "system"} |
| | | elif data.get("event") == "workflow_finished": |
| | | answer = data.get("data", "") |
| | | if isinstance(answer, str): |
| | | logger.error("----------------未知数据--------------------") |
| | | logger.error(data) |
| | | continue |
| | | result = {"message": "", "type": "close", "download_url": ""} |
| | | elif isinstance(answer, dict): |
| | | download_url = "" |
| | | outputs = answer.get("outputs", {}) |
| | | if outputs: |
| | | message = outputs.get("output", "") |
| | | download_url = outputs.get("download_url", "") |
| | | else: |
| | | message = answer.get("error", "") |
| | | |
| | | message = answer.get("title", "") |
| | | result = {"message": message, "type": "message", "download_url": download_url} |
| | | try: |
| | | SessionService(db).update_session(chat_id, |
| | | message={"role": "assistant", |
| | | "content": { |
| | | "answer": message, |
| | | "download_url": download_url}}, |
| | | conversation_id=data.get( |
| | | "conversation_id")) |
| | | except Exception as e: |
| | | logger.error("保存dify的会话异常!") |
| | | logger.error(e) |
| | | await websocket.send_json(result) |
| | | result = {"message": "", "type": "close", "download_url": ""} |
| | | |
| | | result = {"message": message, "type": "system"} |
| | | elif data.get("event") == "workflow_finished": |
| | | answer = data.get("data", "") |
| | | if isinstance(answer, str): |
| | | logger.error("----------------未知数据--------------------") |
| | | logger.error(data) |
| | | result = {"message": "", "type": "close", "download_url": ""} |
| | | elif isinstance(answer, dict): |
| | | download_url = "" |
| | | outputs = answer.get("outputs", {}) |
| | | if outputs: |
| | | message = outputs.get("output", "") |
| | | download_url = outputs.get("download_url", "") |
| | | else: |
| | | message = answer.get("error", "") |
| | | |
| | | result = {"message": message, "type": "message", "download_url": download_url} |
| | | else: |
| | | continue |
| | | try: |
| | | await websocket.send_json(result) |
| | | except Exception as e: |
| | | logger.error(e) |
| | | logger.error("返回客户端消息异常!") |
| | | complete_response = "" |
| | | except json.JSONDecodeError as e: |
| | | print(f"Error decoding JSON: {e}") |
| | | # print(f"Response text: {text}") |
| | | except Exception as e2: |
| | | result = {"message": f"内部错误: {e2}", "type": "close"} |
| | | await websocket.send_json(result) |
| | | print(f"Error process message of ragflow: {e2}") |
| | | elif workflow_type == 3: |
| | | image_list = [] |
| | | # print(inputs) |
| | | complete_response = "" |
| | | async for rag_response in dify_service.chat(token, current_user.id, title_query, [], |
| | | conversation_id, inputs): |
| | | print(rag_response) |
| | | try: |
| | | if rag_response[:5] == "data:": |
| | | # 如果是,则截取掉前5个字符,并去除首尾空白符 |
| | | complete_response = rag_response[5:].strip() |
| | | elif "event: ping" in rag_response: |
| | | continue |
| | | else: |
| | | # 否则,保持原样 |
| | | complete_response += rag_response |
| | | try: |
| | | data = json.loads(complete_response) |
| | | complete_response = "" |
| | | if data.get("event") == "node_started" or data.get( |
| | | "event") == "node_finished": # "event": "message_end" |
| | | if "data" not in data or not data["data"]: # 信息过滤 |
| | | logger.error("非法数据--------------------") |
| | | logger.error(data) |
| | | continue |
| | | else: # 正常输出 |
| | | answer = data.get("data", "") |
| | | if isinstance(answer, str): |
| | | logger.error("----------------未知数据--------------------") |
| | | logger.error(data) |
| | | continue |
| | | elif isinstance(answer, dict): |
| | | |
| | | message = answer.get("title", "") |
| | | |
| | | result = {"message": message, "type": "system"} |
| | | elif data.get("event") == "message": |
| | | message = data.get("answer", "") |
| | | # try: |
| | | # msg_dict = json.loads(answer) |
| | | # message = msg_dict.get("output", "") |
| | | # except Exception as e: |
| | | # print(e) |
| | | # continue |
| | | result = {"message": message, "type": "message", |
| | | "download_url": ""} |
| | | try: |
| | | SessionService(db).update_session(chat_id, |
| | | message={"role": "assistant", |
| | | "content": { |
| | | "answer": message, |
| | | "download_url": download_url}}, |
| | | "download_url": ""}}, |
| | | conversation_id=data.get( |
| | | "conversation_id")) |
| | | except Exception as e: |
| | | logger.error("保存dify的会话异常!") |
| | | logger.error(e) |
| | | await websocket.send_json(result) |
| | | # try: |
| | | # await websocket.send_json(result) |
| | | # except Exception as e: |
| | | # logger.error(e) |
| | | # logger.error("返回客户端消息异常!") |
| | | |
| | | elif data.get("event") == "message_end": |
| | | result = {"message": "", "type": "close", "download_url": ""} |
| | | |
| | | |
| | | else: |
| | | continue |
| | | try: |
| | | await websocket.send_json(result) |
| | | except Exception as e: |
| | | logger.error(e) |
| | | logger.error("返回客户端消息异常!") |
| | | complete_response = "" |
| | | except json.JSONDecodeError as e: |
| | | print(f"Error decoding JSON: {e}") |
| | | # print(f"Response text: {text}") |
| | | except Exception as e2: |
| | | result = {"message": f"内部错误: {e2}", "type": "close"} |
| | | await websocket.send_json(result) |
| | | print(f"Error process message of ragflow: {e2}") |
| | | else: |
| | | continue |
| | | try: |
| | | await websocket.send_json(result) |
| | | except Exception as e: |
| | | logger.error(e) |
| | | logger.error("dify返回客户端消息异常!") |
| | | complete_response = "" |
| | | except json.JSONDecodeError as e: |
| | | print(f"Error decoding JSON: {e}") |
| | | # print(f"Response text: {text}") |
| | | except Exception as e2: |
| | | result = {"message": f"内部错误: {e2}", "type": "close"} |
| | | await websocket.send_json(result) |
| | | print(f"Error process message of ragflow: {e2}") |
| | | elif chat_type == "documentIa": |
| | | # print(122112) |
| | | token = DfTokenDao(db).get_token_by_id(DOCUMENT_IA_QUESTIONS) |
| | |
| | | answer_str = "" |
| | | complete_response = "" |
| | | async for rag_response in dify_service.chat(token, current_user.id, question, files, |
| | | conversation_id): |
| | | conversation_id, {}): |
| | | # print(rag_response) |
| | | try: |
| | | if rag_response[:5] == "data:": |