467 lines
16 KiB
Python
467 lines
16 KiB
Python
from fastapi import APIRouter, HTTPException, Depends
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from ..schemas.models import ProcessRequest_chat, ProcessResponse_chat, ProcessRequest_get, ProcessResponse_get, ProcessRequest_set, ProcessResponse_set, ProcessResponse_delete_session, ProcessRequest_delete_session
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from fastgpt_client import AsyncChatClient
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from fastgpt_client.exceptions import (
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APIError, AuthenticationError, RateLimitError, ValidationError
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)
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from ..core.fastgpt_client import get_fastgpt_client
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from ..core.config import Config
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from loguru import logger
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import json
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import re
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router = APIRouter()
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STATUS_CODE_MAP = {
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'0000': '结束通话',
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'0001': '转接人工',
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'0002': '语义无法识别转接人工',
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'0003': '有人伤转接人工',
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'1001': '未准备好通话',
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'1002': '通话中',
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'2000': '进入单车拍照',
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'2001': '请对准车辆碰撞部位拍摄照片',
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'2002': '请对准被撞物品拍摄照片',
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'2003': '请切换摄像头对准本人拍摄一张正面照片',
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'2004': '确认单车车牌',
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'2005': '请确认车损位置是在车辆前方、后方还是侧面',
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'2010': '进入双车拍照',
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'2011': '请对准第一辆车碰撞部位拍摄',
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'2012': '请对准第二辆车碰撞部位拍摄',
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'2013': '请对准第二方车辆侧后方，看清车牌拍摄',
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'2014': '请拍摄另一方驾驶人的正面照片',
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'2015': '请切换前置摄像头对准本人拍摄一张正面照片',
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'2016': '确认双车中的车牌'
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}
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def extract_state_and_content(data1: str) -> dict | None:
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"""
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Extracts the state and content from a string in the format <state>STATE</state>content.
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Args:
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data1: The input string.
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Returns:
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A dictionary with 'state' and 'content' keys if a match is found,
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otherwise None.
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"""
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data1 = data1.strip()
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regex = r"<state>(.*?)</state>(.*)"
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match = re.search(regex, data1)
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if match:
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return {
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"state": match.group(1),
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"content": match.group(2),
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}
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return None
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async def delete_last_two_chat_records(
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client: AsyncChatClient,
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session_id: str
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) -> None:
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"""Delete the last two chat records."""
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try:
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# Get chat records using SDK
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response = await client.get_chat_records(
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appId=Config.FASTGPT_APP_ID,
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chatId=session_id,
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offset=0,
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pageSize=10
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)
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response.raise_for_status()
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data = response.json()
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records = data.get('data', {}).get('list', [])
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if len(records) < 2:
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logger.warning(f"Less than 2 records found for session {session_id}")
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return
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last_two_data_ids = [record['dataId'] for record in records[-2:]]
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logger.info(f"last_two_data_ids: {last_two_data_ids}")
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# Delete records using SDK
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for content_id in last_two_data_ids:
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delete_response = await client.delete_chat_record(
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appId=Config.FASTGPT_APP_ID,
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chatId=session_id,
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contentId=content_id
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)
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delete_response.raise_for_status()
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except Exception as e:
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logger.error(f"Error deleting chat records: {e}")
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raise
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# @app.exception_handler(RequestValidationError)
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# async def validation_exception_handler(request: Request, exc: RequestValidationError):
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# logging.error(f"Validation Error: {exc.errors()}")
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# raise HTTPException(status_code=422, detail=exc.errors())
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@router.post("/chat", response_model=ProcessResponse_chat)
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async def chat(
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request: ProcessRequest_chat,
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client: AsyncChatClient = Depends(get_fastgpt_client)
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):
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"""Handle chat completion request."""
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json_data = request.model_dump()
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logger.info(f"用户请求信息ProcessRequest_chat: {json_data}")
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try:
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# Use SDK's create_chat_completion
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response = await client.create_chat_completion(
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messages=[{"role": "user", "content": json_data['text']}],
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chatId=json_data['sessionId'],
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stream=False,
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detail=True
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)
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response.raise_for_status()
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data = response.json()
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except AuthenticationError as e:
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logger.error(f"Authentication error: {e}")
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return ProcessResponse_chat(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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outputText="",
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nextStage="",
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nextStageCode="",
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code="401",
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msg="认证失败"
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)
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except RateLimitError as e:
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logger.error(f"Rate limit error: {e}")
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return ProcessResponse_chat(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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outputText="",
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nextStage="",
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nextStageCode="",
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code="429",
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msg="请求过于频繁，请稍后重试"
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)
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except APIError as e:
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logger.error(f"API error: {e}")
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return ProcessResponse_chat(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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outputText="",
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nextStage="",
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nextStageCode="",
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code="500",
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msg="大模型服务器无响应"
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)
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except Exception as e:
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logger.error(f"Unexpected error: {e}")
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return ProcessResponse_chat(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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outputText="",
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nextStage="",
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nextStageCode="",
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code="500",
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msg="大模型服务器无响应"
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)
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try:
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# Extract content from FastGPT response
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content = data['choices'][0]['message']['content']
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logger.info(f"FastGPT服务返回信息content: {content}")
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finish_reason = data['choices'][0]['finish_reason']
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# Extract state variables
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state = data.get('newVariables', {}).get('state', {})
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if isinstance(state, str):
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state = json.loads(state)
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transfer_to_human = state.get("transfer_to_human", False)
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ywrysw = state.get("ywrysw", False)
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ywfjdc = state.get("ywfjdc", False)
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ywmtc = state.get("ywmtc", False)
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jdcsl = state.get("jdcsl", 0)
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accident_info_complete = state.get("accident_info_complete", False)
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user_is_ready = state.get("user_is_ready", False)
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if isinstance(user_is_ready, str):
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user_is_ready = user_is_ready.lower() == 'true'
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driver_info_complete = state.get("driver_info_complete", False)
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drivers_info_complete = state.get("drivers_info_complete", False)
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driver_info_check = state.get("drivers_info_check", False)
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drivers_info_check = state.get("drivers_info_check", False)
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logger.debug(f"State variables: {data.get('newVariables', {})}")
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nextStageCode = data['newVariables']['status_code']
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# 有一些情况需要调整nextStageCode
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if nextStageCode in ['3001', '3002', '1002']:
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nextStageCode = '1002'
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elif nextStageCode == '2006':
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nextStageCode = '2004'
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elif nextStageCode == '2017':
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nextStageCode = '2016'
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elif nextStageCode == '2020':
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nextStageCode = '0002'
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nextStage = STATUS_CODE_MAP.get(nextStageCode, '')
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# Parse content - sometimes content is a string, sometimes it is a list
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if isinstance(content, list):
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logger.debug("content是一个list")
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content = content[0]['text']['content']
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elif isinstance(content, str):
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logger.debug("content是一个str")
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state_and_content = extract_state_and_content(content)
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if state_and_content:
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logger.debug(f"解析后的state和content为: {state_and_content}")
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content = state_and_content['content']
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else:
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raise ValueError("大模型回复中的state解析失败")
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else:
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logger.error(f"content既不是list也不是str, type: {type(content)}")
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raise ValueError("大模型回复不是list也不是str")
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return ProcessResponse_chat(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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outputText=content,
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nextStage=nextStage,
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nextStageCode=nextStageCode,
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code="200",
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msg="",
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)
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except Exception as e:
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logger.error(f"解析信息发生错误: {e}")
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logger.error(f"content: {content}, type: {type(content)}")
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return ProcessResponse_chat(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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outputText="",
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nextStage="",
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nextStageCode="",
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code="500",
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msg="大模型服务返回消息不完整"
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)
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@router.post("/set_info", response_model=ProcessResponse_set)
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async def set_info(
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request: ProcessRequest_set,
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client: AsyncChatClient = Depends(get_fastgpt_client)
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):
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"""Set information in chat state."""
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json_data = request.model_dump()
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try:
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# Get current state
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response = await client.create_chat_completion(
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messages=[{"role": "user", "content": ""}],
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chatId=json_data['sessionId'],
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stream=False,
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detail=True
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)
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response.raise_for_status()
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data = response.json()
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current_state = data['newVariables']['state']
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if isinstance(current_state, str):
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current_state = json.loads(current_state)
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logger.debug(f"Current state: {current_state}")
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except Exception as e:
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logger.error(f"Error getting current state: {e}")
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return ProcessResponse_set(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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code="500",
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msg="大模型服务器无响应"
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)
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try:
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await delete_last_two_chat_records(client, json_data['sessionId'])
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except Exception as e:
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logger.error(f"Error deleting chat records: {e}")
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return ProcessResponse_set(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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code="500",
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msg="大模型后台无响应"
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)
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try:
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# Update state
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key = json_data['key']
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value = json_data['value']
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current_state[key] = value
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logger.info(f'即将上传 {current_state}')
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# Update state using SDK
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response = await client.create_chat_completion(
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messages=[{"role": "user", "content": ""}],
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chatId=json_data['sessionId'],
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stream=False,
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detail=True,
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variables={'state': current_state}
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)
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response.raise_for_status()
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# Delete records again after update
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await delete_last_two_chat_records(client, json_data['sessionId'])
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return ProcessResponse_set(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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code="200",
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msg=""
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)
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except Exception as e:
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logger.error(f"Error setting info: {e}")
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return ProcessResponse_set(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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code="500",
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msg="大模型后台无响应"
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)
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@router.post("/get_info", response_model=ProcessResponse_get)
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async def get_info(
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request: ProcessRequest_get,
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client: AsyncChatClient = Depends(get_fastgpt_client)
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):
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"""Get information from chat state."""
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json_data = request.model_dump()
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try:
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# Get current state
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response = await client.create_chat_completion(
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messages=[{"role": "user", "content": ""}],
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chatId=json_data['sessionId'],
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stream=False,
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detail=True
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)
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response.raise_for_status()
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data = response.json()
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current_state = data['newVariables']['state']
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if isinstance(current_state, str):
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current_state = json.loads(current_state)
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logger.debug(f"Current state: {current_state}")
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except Exception as e:
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logger.error(f"Error getting state: {e}")
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return ProcessResponse_get(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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value="",
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code="500",
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msg="大模型服务器无响应"
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)
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try:
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await delete_last_two_chat_records(client, json_data['sessionId'])
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except Exception as e:
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logger.error(f"Error deleting records: {e}")
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return ProcessResponse_get(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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value="",
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code="500",
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msg="大模型后台无响应"
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)
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try:
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key = json_data['key']
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acd_keys = ['ywrysw', 'ywfjdc', 'ywmtc', 'bjrjs', 'sgfssj', 'sfsgxc', 'jdcsl', 'sgyy']
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human1_keys = ['xm1', 'hpzl1', 'hphm1', 'sfzmhm1', 'sfzmwh1', 'sjhm1', 'sjwh1', 'csbw1']
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human2_keys = ['xm2', 'hpzl2', 'hphm2', 'sfzmhm2', 'sfzmwh2', 'sjhm2', 'sjwh2', 'csbw2']
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def bool_to_str(v):
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"""Convert boolean to string representation."""
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return '1' if v is True else '0' if v is False else v
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if key == 'all':
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acd_values = {k: bool_to_str(current_state.get(k, '')) for k in acd_keys}
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human1_values = {k: bool_to_str(current_state.get(k, '')) for k in human1_keys}
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human2_values = {k: bool_to_str(current_state.get(k, '')) for k in human2_keys}
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value = json.dumps({
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'acdinfo': acd_values,
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'acdhuman1': human1_values,
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'acdhuman2': human2_values
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})
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elif key == "acdinfo":
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acd_values = {k: bool_to_str(current_state.get(k, '')) for k in acd_keys}
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value = json.dumps(acd_values)
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elif key == 'acdhuman1':
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human1_values = {k: bool_to_str(current_state.get(k, '')) for k in human1_keys}
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value = json.dumps(human1_values)
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elif key == 'acdhuman2':
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human2_values = {k: bool_to_str(current_state.get(k, '')) for k in human2_keys}
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value = json.dumps(human2_values)
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else:
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value = json.dumps(current_state.get(key, ''))
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logger.debug(f"Returning value for key '{key}': {value}")
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return ProcessResponse_get(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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value=value,
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code="200",
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msg=""
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)
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except Exception as e:
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logger.error(f"Error getting info: {e}")
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return ProcessResponse_get(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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value="",
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code="500",
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msg="入参不规范"
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)
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@router.delete("/delete_session", response_model=ProcessResponse_delete_session)
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async def delete_session(
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request: ProcessRequest_delete_session,
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client: AsyncChatClient = Depends(get_fastgpt_client)
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):
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"""Delete a chat session."""
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json_data = request.model_dump()
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chat_id = json_data.get('sessionId')
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if not chat_id:
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return ProcessResponse_delete_session(
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sessionId="",
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timeStamp=json_data['timeStamp'],
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code="400",
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msg="sessionId is required"
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)
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try:
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# Use SDK's delete_chat_history
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response = await client.delete_chat_history(
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appId=Config.FASTGPT_APP_ID,
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chatId=chat_id
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)
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response.raise_for_status()
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data = response.json()
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if data.get('code') == 200:
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return ProcessResponse_delete_session(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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code="200",
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msg=""
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)
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else:
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raise ValueError("删除会话失败")
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except Exception as e:
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logger.error(f"Error deleting session: {e}")
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return ProcessResponse_delete_session(
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sessionId=json_data['sessionId'],
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timeStamp=json_data['timeStamp'],
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code="500",
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msg="删除会话失败"
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)
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