镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
logging sys to loguru: stage 1 complete
这个提交包含在:
@@ -1,5 +1,6 @@
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import platform
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from sys import stdout
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from loguru import logger
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if platform.system()=="Linux":
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pass
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@@ -59,3 +60,30 @@ def sprint亮紫(*kw):
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return "\033[1;35m"+' '.join(kw)+"\033[0m"
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def sprint亮靛(*kw):
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return "\033[1;36m"+' '.join(kw)+"\033[0m"
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def log红(*kw,**kargs):
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logger.opt(depth=1).info(sprint红(*kw))
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def log绿(*kw,**kargs):
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logger.opt(depth=1).info(sprint绿(*kw))
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def log黄(*kw,**kargs):
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logger.opt(depth=1).info(sprint黄(*kw))
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def log蓝(*kw,**kargs):
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logger.opt(depth=1).info(sprint蓝(*kw))
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def log紫(*kw,**kargs):
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logger.opt(depth=1).info(sprint紫(*kw))
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def log靛(*kw,**kargs):
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logger.opt(depth=1).info(sprint靛(*kw))
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def log亮红(*kw,**kargs):
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logger.opt(depth=1).info(sprint亮红(*kw))
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def log亮绿(*kw,**kargs):
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logger.opt(depth=1).info(sprint亮绿(*kw))
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def log亮黄(*kw,**kargs):
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logger.opt(depth=1).info(sprint亮黄(*kw))
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def log亮蓝(*kw,**kargs):
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logger.opt(depth=1).info(sprint亮蓝(*kw))
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def log亮紫(*kw,**kargs):
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logger.opt(depth=1).info(sprint亮紫(*kw))
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def log亮靛(*kw,**kargs):
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logger.opt(depth=1).info(sprint亮靛(*kw))
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@@ -2,7 +2,7 @@ import importlib
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import time
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import os
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from functools import lru_cache
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from shared_utils.colorful import print亮红, print亮绿, print亮蓝
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from shared_utils.colorful import log亮红, log亮绿, log亮蓝
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pj = os.path.join
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default_user_name = 'default_user'
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@@ -51,13 +51,13 @@ def read_env_variable(arg, default_value):
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assert arg == "proxies"
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r = eval(env_arg)
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else:
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print亮红(f"[ENV_VAR] 环境变量{arg}不支持通过环境变量设置! ")
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log亮红(f"[ENV_VAR] 环境变量{arg}不支持通过环境变量设置! ")
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raise KeyError
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except:
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print亮红(f"[ENV_VAR] 环境变量{arg}加载失败! ")
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log亮红(f"[ENV_VAR] 环境变量{arg}加载失败! ")
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raise KeyError(f"[ENV_VAR] 环境变量{arg}加载失败! ")
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print亮绿(f"[ENV_VAR] 成功读取环境变量{arg}")
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log亮绿(f"[ENV_VAR] 成功读取环境变量{arg}")
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return r
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@@ -80,21 +80,21 @@ def read_single_conf_with_lru_cache(arg):
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if arg == 'API_URL_REDIRECT':
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oai_rd = r.get("https://api.openai.com/v1/chat/completions", None) # API_URL_REDIRECT填写格式是错误的,请阅读`https://github.com/binary-husky/gpt_academic/wiki/项目配置说明`
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if oai_rd and not oai_rd.endswith('/completions'):
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print亮红("\n\n[API_URL_REDIRECT] API_URL_REDIRECT填错了。请阅读`https://github.com/binary-husky/gpt_academic/wiki/项目配置说明`。如果您确信自己没填错,无视此消息即可。")
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log亮红("\n\n[API_URL_REDIRECT] API_URL_REDIRECT填错了。请阅读`https://github.com/binary-husky/gpt_academic/wiki/项目配置说明`。如果您确信自己没填错,无视此消息即可。")
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time.sleep(5)
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if arg == 'API_KEY':
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print亮蓝(f"[API_KEY] 本项目现已支持OpenAI和Azure的api-key。也支持同时填写多个api-key,如API_KEY=\"openai-key1,openai-key2,azure-key3\"")
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print亮蓝(f"[API_KEY] 您既可以在config.py中修改api-key(s),也可以在问题输入区输入临时的api-key(s),然后回车键提交后即可生效。")
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log亮蓝(f"[API_KEY] 本项目现已支持OpenAI和Azure的api-key。也支持同时填写多个api-key,如API_KEY=\"openai-key1,openai-key2,azure-key3\"")
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log亮蓝(f"[API_KEY] 您既可以在config.py中修改api-key(s),也可以在问题输入区输入临时的api-key(s),然后回车键提交后即可生效。")
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if is_any_api_key(r):
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print亮绿(f"[API_KEY] 您的 API_KEY 是: {r[:15]}*** API_KEY 导入成功")
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log亮绿(f"[API_KEY] 您的 API_KEY 是: {r[:15]}*** API_KEY 导入成功")
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else:
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print亮红(f"[API_KEY] 您的 API_KEY({r[:15]}***)不满足任何一种已知的密钥格式,请在config文件中修改API密钥之后再运行(详见`https://github.com/binary-husky/gpt_academic/wiki/api_key`)。")
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log亮红(f"[API_KEY] 您的 API_KEY({r[:15]}***)不满足任何一种已知的密钥格式,请在config文件中修改API密钥之后再运行(详见`https://github.com/binary-husky/gpt_academic/wiki/api_key`)。")
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if arg == 'proxies':
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if not read_single_conf_with_lru_cache('USE_PROXY'): r = None # 检查USE_PROXY,防止proxies单独起作用
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if r is None:
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print亮红('[PROXY] 网络代理状态:未配置。无代理状态下很可能无法访问OpenAI家族的模型。建议:检查USE_PROXY选项是否修改。')
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log亮红('[PROXY] 网络代理状态:未配置。无代理状态下很可能无法访问OpenAI家族的模型。建议:检查USE_PROXY选项是否修改。')
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else:
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print亮绿('[PROXY] 网络代理状态:已配置。配置信息如下:', r)
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log亮绿('[PROXY] 网络代理状态:已配置。配置信息如下:', r)
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assert isinstance(r, dict), 'proxies格式错误,请注意proxies选项的格式,不要遗漏括号。'
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return r
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72
shared_utils/logging.py
普通文件
72
shared_utils/logging.py
普通文件
@@ -0,0 +1,72 @@
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from loguru import logger
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import logging
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import sys
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import os
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def chat_log_filter(record):
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return "chat_msg" in record["extra"]
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def not_chat_log_filter(record):
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return "chat_msg" not in record["extra"]
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def formatter_with_clip(record):
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# Note this function returns the string to be formatted, not the actual message to be logged
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record["extra"]["serialized"] = "555555"
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max_len = 12
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record['function_x'] = record['function'].center(max_len)
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if len(record['function_x']) > max_len:
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record['function_x'] = ".." + record['function_x'][-(max_len-2):]
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record['line_x'] = str(record['line']).ljust(3)
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return '<green>{time:HH:mm}</green> | <cyan>{function_x}</cyan>:<cyan>{line_x}</cyan> | <level>{message}</level>\n'
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def setup_logging(PATH_LOGGING):
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admin_log_path = os.path.join(PATH_LOGGING, "admin")
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os.makedirs(admin_log_path, exist_ok=True)
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sensitive_log_path = os.path.join(admin_log_path, "chat_secrets.log")
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regular_log_path = os.path.join(admin_log_path, "console_log.log")
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logger.remove()
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logger.configure(
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levels=[dict(name="WARNING", color="<g>")],
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)
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logger.add(
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sys.stderr,
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format=formatter_with_clip,
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# format='<green>{time:HH:mm}</green> | <cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>',
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filter=(lambda record: not chat_log_filter(record)),
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colorize=True,
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enqueue=True
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)
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logger.add(
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sensitive_log_path,
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format='<green>{time:MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>',
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rotation="10 MB",
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filter=chat_log_filter,
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enqueue=True,
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)
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logger.add(
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regular_log_path,
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format='<green>{time:MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>',
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rotation="10 MB",
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filter=not_chat_log_filter,
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enqueue=True,
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)
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logging.getLogger("httpx").setLevel(logging.WARNING)
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logger.warning(f"所有对话记录将自动保存在本地目录{sensitive_log_path}, 请注意自我隐私保护哦!")
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logger.bind(chat_msg=True).info("This message is logged to the file!")
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# logger.debug(f"debug message")
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# logger.info(f"info message")
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# logger.success(f"success message")
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# logger.error(f"error message")
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# logger.add("special.log", filter=lambda record: "special" in record["extra"])
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# logger.debug("This message is not logged to the file")
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