| | |
| | | import json |
| | | |
| | | from Log import logger |
| | | from app.config.agent_base_url import RG_CHAT_DIALOG, DF_CHAT_AGENT, DF_CHAT_PARAMETERS, RG_CHAT_SESSIONS, \ |
| | | DF_CHAT_WORKFLOW |
| | | from app.config.config import settings |
| | | from app.config.const import * |
| | | from app.models import DialogModel, ApiTokenModel |
| | | from app.models.v2.session_model import ChatSessionDao, ChatData |
| | | from app.service.v2.app_driver.chat_agent import ChatAgent |
| | | from app.service.v2.app_driver.chat_data import ChatBaseApply |
| | | from app.service.v2.app_driver.chat_dialog import ChatDialog |
| | | from app.service.v2.app_driver.chat_workflow import ChatWorkflow |
| | | |
| | | |
| | | async def service_chat_dialog(question: str, session_id: str): |
| | | |
| | | if session_id: |
| | | ... |
| | | async def update_session_log(db, session_id: str, message: dict, conversation_id: str): |
| | | await ChatSessionDao(db).update_session_by_id( |
| | | session_id=session_id, |
| | | session=None, |
| | | message=message, |
| | | conversation_id=conversation_id |
| | | ) |
| | | |
| | | |
| | | |
| | | async def add_session_log(db, session_id: str, question: str, chat_id: str, user_id, event_type: str, |
| | | conversation_id: str): |
| | | try: |
| | | for ans in chat(dia, msg, True, **req): |
| | | |
| | | yield "data:" + json.dumps({"code": 0, "message": "", "data": ans}, ensure_ascii=False) + "\n\n" |
| | | ConversationService.update_by_id(conv.id, conv.to_dict()) |
| | | session = await ChatSessionDao(db).update_or_insert_by_id( |
| | | session_id=session_id, |
| | | name=question[:255], |
| | | agent_id=chat_id, |
| | | agent_type=1, |
| | | tenant_id=user_id, |
| | | message={"role": "user", "content": question}, |
| | | conversation_id=conversation_id, |
| | | event_type=event_type |
| | | ) |
| | | return session |
| | | except Exception as e: |
| | | yield "data:" + json.dumps({"code": 500, "message": str(e), |
| | | "data": {"answer": "**ERROR**: " + str(e), "reference": []}}, |
| | | ensure_ascii=False) + "\n\n" |
| | | yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n" |
| | | logger.error(e) |
| | | return None |
| | | |
| | | |
| | | async def get_chat_token(db, app_id): |
| | | app_token = db.query(ApiTokenModel).filter_by(app_id=app_id).first() |
| | | if app_token: |
| | | return app_token.token |
| | | return "" |
| | | |
| | | |
| | | async def get_chat_info(db, chat_id: str): |
| | | return db.query(DialogModel).filter_by(id=chat_id, status=Dialog_STATSU_ON).first() |
| | | |
| | | |
| | | async def get_chat_object(mode): |
| | | if mode == workflow_chat: |
| | | url = settings.dify_base_url + DF_CHAT_WORKFLOW |
| | | return ChatWorkflow(), url |
| | | else: |
| | | url = settings.dify_base_url + DF_CHAT_AGENT |
| | | return ChatAgent(), url |
| | | |
| | | |
| | | async def service_chat_dialog(db, chat_id: str, question: str, session_id: str, user_id, mode: str): |
| | | conversation_id = "" |
| | | token = await get_chat_token(db, rg_api_token) |
| | | url = settings.fwr_base_url + RG_CHAT_DIALOG.format(chat_id) |
| | | chat = ChatDialog() |
| | | session = await add_session_log(db, session_id, question, chat_id, user_id, mode, session_id) |
| | | if session: |
| | | conversation_id = session.conversation_id |
| | | message = {"role": "assistant", "answer": "", "reference": {}} |
| | | try: |
| | | async for ans in chat.chat_completions(url, await chat.request_data(question, conversation_id), |
| | | await chat.get_headers(token)): |
| | | data = {} |
| | | error = "" |
| | | status = http_200 |
| | | if ans.get("code", None) == 102: |
| | | error = ans.get("message", "error!") |
| | | status = http_400 |
| | | event = smart_message_error |
| | | else: |
| | | if isinstance(ans.get("data"), bool) and ans.get("data") is True: |
| | | event = smart_message_end |
| | | else: |
| | | data = ans.get("data", {}) |
| | | # conversation_id = data.get("session_id", "") |
| | | if "session_id" in data: |
| | | del data["session_id"] |
| | | message = data |
| | | event = smart_message_cover |
| | | message_str = "data: " + json.dumps( |
| | | {"event": event, "data": data, "error": error, "status": status, "session_id": session_id}, |
| | | ensure_ascii=False) + "\n\n" |
| | | for i in range(0, len(message_str), max_chunk_size): |
| | | chunk = message_str[i:i + max_chunk_size] |
| | | # print(chunk) |
| | | yield chunk # 发送分块消息 |
| | | except Exception as e: |
| | | |
| | | logger.error(e) |
| | | try: |
| | | yield "data: " + json.dumps({"message": smart_message_error, |
| | | "error": "**ERROR**: " + str(e), "status": http_500}, |
| | | ensure_ascii=False) + "\n\n" |
| | | except: |
| | | ... |
| | | finally: |
| | | await update_session_log(db, session_id, message, conversation_id) |
| | | |
| | | |
| | | async def service_chat_workflow(db, chat_id: str, chat_data: ChatData, session_id: str, user_id, mode: str): |
| | | conversation_id = "" |
| | | answer_event = "" |
| | | answer_agent = "" |
| | | message_id = "" |
| | | task_id = "" |
| | | error = "" |
| | | files = [] |
| | | node_list = [] |
| | | token = await get_chat_token(db, chat_id) |
| | | |
| | | chat, url = await get_chat_object(mode) |
| | | if hasattr(chat_data, "query"): |
| | | query = chat_data.query |
| | | else: |
| | | query = "start new workflow" |
| | | session = await add_session_log(db, session_id, query, chat_id, user_id, mode, conversation_id) |
| | | if session: |
| | | conversation_id = session.conversation_id |
| | | try: |
| | | async for ans in chat.chat_completions(url, |
| | | await chat.request_data(query, conversation_id, str(user_id), chat_data), |
| | | await chat.get_headers(token)): |
| | | data = {} |
| | | status = http_200 |
| | | conversation_id = ans.get("conversation_id") |
| | | task_id = ans.get("task_id") |
| | | if ans.get("event") == message_error: |
| | | error = ans.get("message", "参数异常!") |
| | | status = http_400 |
| | | event = smart_message_error |
| | | elif ans.get("event") == message_agent: |
| | | data = {"answer": ans.get("answer", ""), "id": ans.get("message_id", "")} |
| | | answer_agent += ans.get("answer", "") |
| | | message_id = ans.get("message_id", "") |
| | | event = smart_message_stream |
| | | elif ans.get("event") == message_event: |
| | | data = {"answer": ans.get("answer", ""), "id": ans.get("message_id", "")} |
| | | answer_event += ans.get("answer", "") |
| | | message_id = ans.get("message_id", "") |
| | | event = smart_message_stream |
| | | elif ans.get("event") == message_file: |
| | | data = {"url": ans.get("url", ""), "id": ans.get("id", ""), |
| | | "type": ans.get("type", "")} |
| | | files.append(data) |
| | | event = smart_message_file |
| | | elif ans.get("event") in [workflow_started, node_started, node_finished]: |
| | | data = ans.get("data", {}) |
| | | data["inputs"] = [] |
| | | data["outputs"] = [] |
| | | data["process_data"] = "" |
| | | node_list.append(ans) |
| | | event = [smart_workflow_started, smart_node_started, smart_node_finished][ |
| | | [workflow_started, node_started, node_finished].index(ans.get("event"))] |
| | | elif ans.get("event") == workflow_finished: |
| | | data = ans.get("data", {}) |
| | | event = smart_workflow_finished |
| | | node_list.append(ans) |
| | | elif ans.get("event") == message_end: |
| | | event = smart_message_end |
| | | else: |
| | | continue |
| | | |
| | | yield "data: " + json.dumps( |
| | | {"event": event, "data": data, "error": error, "status": status, "task_id": task_id, |
| | | "session_id": session_id}, |
| | | ensure_ascii=False) + "\n\n" |
| | | |
| | | except Exception as e: |
| | | logger.error(e) |
| | | try: |
| | | yield "data: " + json.dumps({"message": smart_message_error, |
| | | "error": "**ERROR**: " + str(e), "status": http_500}, |
| | | ensure_ascii=False) + "\n\n" |
| | | except: |
| | | ... |
| | | finally: |
| | | await update_session_log(db, session_id, {"role": "assistant", "answer": answer_event or answer_agent, |
| | | "node_list": node_list, "task_id": task_id, "id": message_id, |
| | | "error": error}, conversation_id) |
| | | |
| | | |
| | | async def service_chat_basic(db, chat_id: str, question: str, session_id: str, user_id): |
| | | ... |
| | | |
| | | |
| | | async def service_chat_parameters(db, chat_id, user_id): |
| | | chat_info = db.query(DialogModel).filter_by(id=chat_id).first() |
| | | if not chat_info: |
| | | return {} |
| | | return chat_info.parameters |
| | | # if chat_info.dialog_type == RG_TYPE: |
| | | # return {"retriever_resource": |
| | | # { |
| | | # "enabled": True |
| | | # } |
| | | # } |
| | | # elif chat_info.dialog_type == BASIC_TYPE: |
| | | # ... |
| | | # elif chat_info.dialog_type == DF_TYPE: |
| | | # token = await get_chat_token(db, chat_id) |
| | | # if not token: |
| | | # return {} |
| | | # url = settings.dify_base_url + DF_CHAT_PARAMETERS |
| | | # chat = ChatBaseApply() |
| | | # return await chat.chat_get(url, {"user": str(user_id)}, await chat.get_headers(token)) |
| | | |
| | | |
| | | async def service_chat_sessions(db, chat_id, name): |
| | | token = await get_chat_token(db, rg_api_token) |
| | | if not token: |
| | | return {} |
| | | url = settings.fwr_base_url + RG_CHAT_SESSIONS.format(chat_id) |
| | | chat = ChatDialog() |
| | | return await chat.chat_sessions(url, {"name": name}, await chat.get_headers(token)) |