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112 lines
4.3 KiB
Python
112 lines
4.3 KiB
Python
import asyncio
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import os
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import re
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from pathlib import Path
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from dotenv import load_dotenv
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from fastapi import APIRouter, HTTPException, Request, Response
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from fastapi.responses import StreamingResponse
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from utils import traceroot_wrapper as traceroot
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from app.component import code
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from app.exception.exception import UserException
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from app.model.chat import Chat, HumanReply, McpServers, Status, SupplementChat
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from app.service.chat_service import step_solve
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from app.service.task import (
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Action,
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ActionImproveData,
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ActionInstallMcpData,
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ActionStopData,
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ActionSupplementData,
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create_task_lock,
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get_task_lock,
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)
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from app.component.environment import set_user_env_path
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router = APIRouter(tags=["chat"])
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# Create traceroot logger for chat controller
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chat_logger = traceroot.get_logger('chat_controller')
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@router.post("/chat", name="start chat")
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@traceroot.trace()
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async def post(data: Chat, request: Request):
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chat_logger.info("Chat session started", extra={"task_id": data.task_id})
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task_lock = create_task_lock(data.task_id)
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# Set user-specific environment path for this thread
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set_user_env_path(data.env_path)
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load_dotenv(dotenv_path=data.env_path)
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os.environ["file_save_path"] = data.file_save_path()
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os.environ["browser_port"] = str(data.browser_port)
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os.environ["OPENAI_API_KEY"] = data.api_key
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os.environ["OPENAI_API_BASE_URL"] = data.api_url or "https://api.openai.com/v1"
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os.environ["CAMEL_MODEL_LOG_ENABLED"] = "true"
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email_sanitized = re.sub(r'[\\/*?:"<>|\s]', "_", data.email.split("@")[0]).strip(".")
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camel_log = Path.home() / ".eigent" / email_sanitized / ("task_" + data.task_id) / "camel_logs"
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camel_log.mkdir(parents=True, exist_ok=True)
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os.environ["CAMEL_LOG_DIR"] = str(camel_log)
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if data.is_cloud():
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os.environ["cloud_api_key"] = data.api_key
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chat_logger.debug("Chat environment configured", extra={"task_id": data.task_id, "log_dir": str(camel_log)})
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return StreamingResponse(step_solve(data, request, task_lock), media_type="text/event-stream")
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@router.post("/chat/{id}", name="improve chat")
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@traceroot.trace()
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def improve(id: str, data: SupplementChat):
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chat_logger.info("Chat improvement requested", extra={"task_id": id, "question_length": len(data.question)})
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task_lock = get_task_lock(id)
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if task_lock.status == Status.done:
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raise UserException(code.error, "Task was done")
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asyncio.run(task_lock.put_queue(ActionImproveData(data=data.question)))
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chat_logger.debug("Improvement request queued", extra={"task_id": id})
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return Response(status_code=201)
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@router.put("/chat/{id}", name="supplement task")
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@traceroot.trace()
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def supplement(id: str, data: SupplementChat):
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chat_logger.info("Chat supplement requested", extra={"task_id": id})
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task_lock = get_task_lock(id)
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if task_lock.status != Status.done:
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raise UserException(code.error, "Please wait task done")
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asyncio.run(task_lock.put_queue(ActionSupplementData(data=data)))
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chat_logger.debug("Supplement data queued", extra={"task_id": id})
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return Response(status_code=201)
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@router.delete("/chat/{id}", name="stop chat")
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@traceroot.trace()
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def stop(id: str):
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"""stop the task"""
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chat_logger.warning("Stopping chat session", extra={"task_id": id})
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task_lock = get_task_lock(id)
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asyncio.run(task_lock.put_queue(ActionStopData(action=Action.stop)))
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chat_logger.info("Chat stop signal sent", extra={"task_id": id})
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return Response(status_code=204)
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@router.post("/chat/{id}/human-reply")
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@traceroot.trace()
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def human_reply(id: str, data: HumanReply):
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chat_logger.info("Human reply received", extra={"task_id": id, "reply_length": len(data.reply)})
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task_lock = get_task_lock(id)
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asyncio.run(task_lock.put_human_input(data.agent, data.reply))
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chat_logger.debug("Human reply processed", extra={"task_id": id})
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return Response(status_code=201)
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@router.post("/chat/{id}/install-mcp")
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@traceroot.trace()
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def install_mcp(id: str, data: McpServers):
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chat_logger.info("Installing MCP servers", extra={"task_id": id, "servers_count": len(data.get('mcpServers', {}))})
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task_lock = get_task_lock(id)
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asyncio.run(task_lock.put_queue(ActionInstallMcpData(action=Action.install_mcp, data=data)))
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chat_logger.info("MCP installation queued", extra={"task_id": id})
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return Response(status_code=201)
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