mirror of
https://github.com/FoundationAgents/MetaGPT.git
synced 2026-04-30 19:36:24 +02:00
74 lines
1.9 KiB
Python
74 lines
1.9 KiB
Python
#!/usr/bin/env python
|
|
# -*- coding: utf-8 -*-
|
|
"""
|
|
@Time : 2023/6/1 12:41
|
|
@Author : alexanderwu
|
|
@File : logs.py
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
import sys
|
|
from datetime import datetime
|
|
from functools import partial
|
|
from typing import List
|
|
|
|
from loguru import logger as _logger
|
|
from pydantic import BaseModel, Field
|
|
|
|
from metagpt.const import METAGPT_ROOT
|
|
|
|
|
|
class ToolOutputItem(BaseModel):
|
|
type_: str = Field(alias="type", default="str", description="Data type of `value` field.")
|
|
name: str
|
|
value: str
|
|
|
|
|
|
def define_log_level(print_level="INFO", logfile_level="DEBUG", name: str = None):
|
|
"""Adjust the log level to above level"""
|
|
current_date = datetime.now()
|
|
formatted_date = current_date.strftime("%Y%m%d")
|
|
log_name = f"{name}_{formatted_date}" if name else formatted_date # name a log with prefix name
|
|
|
|
_logger.remove()
|
|
_logger.add(sys.stderr, level=print_level)
|
|
_logger.add(METAGPT_ROOT / f"logs/{log_name}.txt", level=logfile_level)
|
|
return _logger
|
|
|
|
|
|
logger = define_log_level()
|
|
|
|
|
|
def log_llm_stream(msg):
|
|
_llm_stream_log(msg)
|
|
|
|
|
|
def log_tool_output(output: ToolOutputItem | List[ToolOutputItem], tool_name: str = ""):
|
|
"""interface for logging tool output, can be set to log tool output in different ways to different places with set_tool_output_logfunc"""
|
|
if not _tool_output_log or not output:
|
|
return
|
|
|
|
outputs = output if isinstance(output, list) else [output]
|
|
_tool_output_log(output=json.dumps([i.model_dump() for i in outputs]), tool_name=tool_name)
|
|
|
|
|
|
def set_llm_stream_logfunc(func):
|
|
global _llm_stream_log
|
|
_llm_stream_log = func
|
|
|
|
|
|
def set_tool_output_logfunc(func):
|
|
global _tool_output_log
|
|
_tool_output_log = func
|
|
|
|
|
|
_llm_stream_log = partial(print, end="")
|
|
|
|
|
|
def _default_tool_output_log(*args, **kwargs):
|
|
print(*args, str(kwargs), end="")
|
|
|
|
|
|
_tool_output_log = _default_tool_output_log
|