logging sys to loguru: stage 1 complete

check_proxy.py

@@ -1,3 +1,4 @@
+from loguru import logger
 
 def check_proxy(proxies, return_ip=False):
     import requests
@@ -19,14 +20,14 @@ def check_proxy(proxies, return_ip=False):
         else:
             result = f"代理配置 {proxies_https}, 代理数据解析失败：{data}"
         if not return_ip:
-            print(result)
+            logger.warning(result)
             return result
         else:
             return ip
     except:
         result = f"代理配置 {proxies_https}, 代理所在地查询超时，代理可能无效"
         if not return_ip:
-            print(result)
+            logger.warning(result)
             return result
         else:
             return ip
@@ -148,9 +149,9 @@ def auto_update(raise_error=False):
                     if raise_error:
                         from toolbox import trimmed_format_exc
                         msg += trimmed_format_exc()
-                    print(msg)
+                    logger.warning(msg)
             else:
-                print('自动更新程序：已禁用')
+                logger.info('自动更新程序：已禁用')
                 return
         else:
             return
@@ -159,10 +160,10 @@ def auto_update(raise_error=False):
         if raise_error:
             from toolbox import trimmed_format_exc
             msg += trimmed_format_exc()
-        print(msg)
+        logger.info(msg)
 
 def warm_up_modules():
-    print('正在执行一些模块的预热 ...')
+    logger.info('正在执行一些模块的预热 ...')
     from toolbox import ProxyNetworkActivate
     from request_llms.bridge_all import model_info
     with ProxyNetworkActivate("Warmup_Modules"):
@@ -172,7 +173,7 @@ def warm_up_modules():
         enc.encode("模块预热", disallowed_special=())
 
 def warm_up_vectordb():
-    print('正在执行一些模块的预热 ...')
+    logger.info('正在执行一些模块的预热 ...')
     from toolbox import ProxyNetworkActivate
     with ProxyNetworkActivate("Warmup_Modules"):
         import nltk

main.py

@@ -13,16 +13,10 @@ help_menu_description = \
 </br></br>如何语音对话: 请阅读Wiki
 </br></br>如何临时更换API_KEY: 在输入区输入临时API_KEY后提交（网页刷新后失效）"""
 
+from loguru import logger
 def enable_log(PATH_LOGGING):
-    import logging
+    from shared_utils.logging import setup_logging
-    admin_log_path = os.path.join(PATH_LOGGING, "admin")
+    setup_logging(PATH_LOGGING)
-    os.makedirs(admin_log_path, exist_ok=True)
-    log_dir = os.path.join(admin_log_path, "chat_secrets.log")
-    try:logging.basicConfig(filename=log_dir, level=logging.INFO, encoding="utf-8", format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
-    except:logging.basicConfig(filename=log_dir, level=logging.INFO,  format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
-    # Disable logging output from the 'httpx' logger
-    logging.getLogger("httpx").setLevel(logging.WARNING)
-    print(f"所有对话记录将自动保存在本地目录{log_dir}, 请注意自我隐私保护哦！")
 
 def encode_plugin_info(k, plugin)->str:
     import copy
@@ -42,9 +36,16 @@ def main():
     import gradio as gr
     if gr.__version__ not in ['3.32.9', '3.32.10', '3.32.11']:
         raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
-    from request_llms.bridge_all import predict
+    
+    # 一些基础工具
     from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
 
+    # 对话、日志记录
+    enable_log(get_conf("PATH_LOGGING"))
+
+    # 对话句柄
+    from request_llms.bridge_all import predict
+
     # 读取配置
     proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION')
     CHATBOT_HEIGHT, LAYOUT, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = get_conf('CHATBOT_HEIGHT', 'LAYOUT', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
@@ -61,8 +62,6 @@ def main():
     from themes.theme import load_dynamic_theme, to_cookie_str, from_cookie_str, assign_user_uuid
     title_html = f"<h1 align=\"center\">GPT 学术优化 {get_current_version()}</h1>{theme_declaration}"
 
-    # 对话、日志记录
-    enable_log(PATH_LOGGING)
 
     # 一些普通功能模块
     from core_functional import get_core_functions
@@ -339,9 +338,9 @@ def main():
     # Gradio的inbrowser触发不太稳定，回滚代码到原始的浏览器打开函数
     def run_delayed_tasks():
         import threading, webbrowser, time
-        print(f"如果浏览器没有自动打开，请复制并转到以下URL：")
+        logger.info(f"如果浏览器没有自动打开，请复制并转到以下URL：")
-        if DARK_MODE:   print(f"\t「暗色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
+        if DARK_MODE:   logger.info(f"\t「暗色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
-        else:           print(f"\t「亮色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
+        else:           logger.info(f"\t「亮色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
 
         def auto_updates(): time.sleep(0); auto_update()
         def open_browser(): time.sleep(2); webbrowser.open_new_tab(f"http://localhost:{PORT}")

request_llms/bridge_all.py

@@ -9,6 +9,7 @@
     2. predict_no_ui_long_connection(...)
 """
 import tiktoken, copy, re
+from loguru import logger
 from functools import lru_cache
 from concurrent.futures import ThreadPoolExecutor
 from toolbox import get_conf, trimmed_format_exc, apply_gpt_academic_string_mask, read_one_api_model_name
@@ -51,9 +52,9 @@ class LazyloadTiktoken(object):
     @staticmethod
     @lru_cache(maxsize=128)
     def get_encoder(model):
-        print('正在加载tokenizer，如果是第一次运行，可能需要一点时间下载参数')
+        logger.info('正在加载tokenizer，如果是第一次运行，可能需要一点时间下载参数')
         tmp = tiktoken.encoding_for_model(model)
-        print('加载tokenizer完毕')
+        logger.info('加载tokenizer完毕')
         return tmp
 
     def encode(self, *args, **kwargs):
@@ -83,7 +84,7 @@ try:
     API_URL = get_conf("API_URL")
     if API_URL != "https://api.openai.com/v1/chat/completions":
         openai_endpoint = API_URL
-        print("警告！API_URL配置选项将被弃用，请更换为API_URL_REDIRECT配置")
+        logger.warning("警告！API_URL配置选项将被弃用，请更换为API_URL_REDIRECT配置")
 except:
     pass
 # 新版配置
@@ -662,7 +663,7 @@ if "newbing" in AVAIL_LLM_MODELS:   # same with newbing-free
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 if "chatglmft" in AVAIL_LLM_MODELS:   # same with newbing-free
     try:
         from .bridge_chatglmft import predict_no_ui_long_connection as chatglmft_noui
@@ -678,7 +679,7 @@ if "chatglmft" in AVAIL_LLM_MODELS:   # same with newbing-free
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 上海AI-LAB书生大模型 -=-=-=-=-=-=-
 if "internlm" in AVAIL_LLM_MODELS:
     try:
@@ -695,7 +696,7 @@ if "internlm" in AVAIL_LLM_MODELS:
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 if "chatglm_onnx" in AVAIL_LLM_MODELS:
     try:
         from .bridge_chatglmonnx import predict_no_ui_long_connection as chatglm_onnx_noui
@@ -711,7 +712,7 @@ if "chatglm_onnx" in AVAIL_LLM_MODELS:
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 通义-本地模型 -=-=-=-=-=-=-
 if "qwen-local" in AVAIL_LLM_MODELS:
     try:
@@ -729,7 +730,7 @@ if "qwen-local" in AVAIL_LLM_MODELS:
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 通义-在线模型 -=-=-=-=-=-=-
 if "qwen-turbo" in AVAIL_LLM_MODELS or "qwen-plus" in AVAIL_LLM_MODELS or "qwen-max" in AVAIL_LLM_MODELS:   # zhipuai
     try:
@@ -765,7 +766,7 @@ if "qwen-turbo" in AVAIL_LLM_MODELS or "qwen-plus" in AVAIL_LLM_MODELS or "qwen-
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 零一万物模型 -=-=-=-=-=-=-
 yi_models = ["yi-34b-chat-0205","yi-34b-chat-200k","yi-large","yi-medium","yi-spark","yi-large-turbo","yi-large-preview"]
 if any(item in yi_models for item in AVAIL_LLM_MODELS):
@@ -845,7 +846,7 @@ if any(item in yi_models for item in AVAIL_LLM_MODELS):
             },
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 讯飞星火认知大模型 -=-=-=-=-=-=-
 if "spark" in AVAIL_LLM_MODELS:
     try:
@@ -863,7 +864,7 @@ if "spark" in AVAIL_LLM_MODELS:
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 if "sparkv2" in AVAIL_LLM_MODELS:   # 讯飞星火认知大模型
     try:
         from .bridge_spark import predict_no_ui_long_connection as spark_noui
@@ -880,7 +881,7 @@ if "sparkv2" in AVAIL_LLM_MODELS:   # 讯飞星火认知大模型
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 if any(x in AVAIL_LLM_MODELS for x in ("sparkv3", "sparkv3.5", "sparkv4")):   # 讯飞星火认知大模型
     try:
         from .bridge_spark import predict_no_ui_long_connection as spark_noui
@@ -915,7 +916,7 @@ if any(x in AVAIL_LLM_MODELS for x in ("sparkv3", "sparkv3.5", "sparkv4")):   #
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 if "llama2" in AVAIL_LLM_MODELS:   # llama2
     try:
         from .bridge_llama2 import predict_no_ui_long_connection as llama2_noui
@@ -931,7 +932,7 @@ if "llama2" in AVAIL_LLM_MODELS:   # llama2
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 智谱 -=-=-=-=-=-=-
 if "zhipuai" in AVAIL_LLM_MODELS:   # zhipuai 是glm-4的别名，向后兼容配置
     try:
@@ -946,7 +947,7 @@ if "zhipuai" in AVAIL_LLM_MODELS:   # zhipuai 是glm-4的别名，向后兼容
             },
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 幻方-深度求索大模型 -=-=-=-=-=-=-
 if "deepseekcoder" in AVAIL_LLM_MODELS:   # deepseekcoder
     try:
@@ -963,7 +964,7 @@ if "deepseekcoder" in AVAIL_LLM_MODELS:   # deepseekcoder
             }
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- 幻方-深度求索大模型在线API -=-=-=-=-=-=-
 if "deepseek-chat" in AVAIL_LLM_MODELS or "deepseek-coder" in AVAIL_LLM_MODELS:
     try:
@@ -991,7 +992,7 @@ if "deepseek-chat" in AVAIL_LLM_MODELS or "deepseek-coder" in AVAIL_LLM_MODELS:
             },
         })
     except:
-        print(trimmed_format_exc())
+        logger.error(trimmed_format_exc())
 # -=-=-=-=-=-=- one-api 对齐支持 -=-=-=-=-=-=-
 for model in [m for m in AVAIL_LLM_MODELS if m.startswith("one-api-")]:
     # 为了更灵活地接入one-api多模型管理界面，设计了此接口，例子：AVAIL_LLM_MODELS = ["one-api-mixtral-8x7b(max_token=6666)"]

requirements.txt

@@ -28,6 +28,7 @@ edge-tts
 pymupdf
 openai
 rjsmin
+loguru
 arxiv
 numpy
 rich

shared_utils/colorful.py

@@ -1,5 +1,6 @@
 import platform
 from sys import stdout
+from loguru import logger
 
 if platform.system()=="Linux":
     pass
@@ -59,3 +60,30 @@ def sprint亮紫(*kw):
     return "\033[1;35m"+' '.join(kw)+"\033[0m"
 def sprint亮靛(*kw):
     return "\033[1;36m"+' '.join(kw)+"\033[0m"
+
+
+def log红(*kw,**kargs):
+    logger.opt(depth=1).info(sprint红(*kw))
+def log绿(*kw,**kargs):
+    logger.opt(depth=1).info(sprint绿(*kw))
+def log黄(*kw,**kargs):
+    logger.opt(depth=1).info(sprint黄(*kw))
+def log蓝(*kw,**kargs):
+    logger.opt(depth=1).info(sprint蓝(*kw))
+def log紫(*kw,**kargs):
+    logger.opt(depth=1).info(sprint紫(*kw))
+def log靛(*kw,**kargs):
+    logger.opt(depth=1).info(sprint靛(*kw))
+
+def log亮红(*kw,**kargs):
+    logger.opt(depth=1).info(sprint亮红(*kw))
+def log亮绿(*kw,**kargs):
+    logger.opt(depth=1).info(sprint亮绿(*kw))
+def log亮黄(*kw,**kargs):
+    logger.opt(depth=1).info(sprint亮黄(*kw))
+def log亮蓝(*kw,**kargs):
+    logger.opt(depth=1).info(sprint亮蓝(*kw))
+def log亮紫(*kw,**kargs):
+    logger.opt(depth=1).info(sprint亮紫(*kw))
+def log亮靛(*kw,**kargs):
+    logger.opt(depth=1).info(sprint亮靛(*kw))

shared_utils/config_loader.py

@@ -2,7 +2,7 @@ import importlib
 import time
 import os
 from functools import lru_cache
-from shared_utils.colorful import print亮红, print亮绿, print亮蓝
+from shared_utils.colorful import log亮红, log亮绿, log亮蓝
 
 pj = os.path.join
 default_user_name = 'default_user'
@@ -51,13 +51,13 @@ def read_env_variable(arg, default_value):
             assert arg == "proxies"
             r = eval(env_arg)
         else:
-            print亮红(f"[ENV_VAR] 环境变量{arg}不支持通过环境变量设置! ")
+            log亮红(f"[ENV_VAR] 环境变量{arg}不支持通过环境变量设置! ")
             raise KeyError
     except:
-        print亮红(f"[ENV_VAR] 环境变量{arg}加载失败! ")
+        log亮红(f"[ENV_VAR] 环境变量{arg}加载失败! ")
         raise KeyError(f"[ENV_VAR] 环境变量{arg}加载失败! ")
 
-    print亮绿(f"[ENV_VAR] 成功读取环境变量{arg}")
+    log亮绿(f"[ENV_VAR] 成功读取环境变量{arg}")
     return r
 
 
@@ -80,21 +80,21 @@ def read_single_conf_with_lru_cache(arg):
     if arg == 'API_URL_REDIRECT':
         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`
         if oai_rd and not oai_rd.endswith('/completions'):
-            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。")
+            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。")
             time.sleep(5)
     if arg == 'API_KEY':
-        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\"")
+        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\"")
-        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。")
+        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。")
         if is_any_api_key(r):
-            print亮绿(f"[API_KEY] 您的 API_KEY 是: {r[:15]}*** API_KEY 导入成功")
+            log亮绿(f"[API_KEY] 您的 API_KEY 是: {r[:15]}*** API_KEY 导入成功")
         else:
-            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`）。")
+            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`）。")
     if arg == 'proxies':
         if not read_single_conf_with_lru_cache('USE_PROXY'): r = None # 检查USE_PROXY，防止proxies单独起作用
         if r is None:
-            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。')
+            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。')
         else:
-            print亮绿('[PROXY] 网络代理状态：已配置。配置信息如下：', r)
+            log亮绿('[PROXY] 网络代理状态：已配置。配置信息如下：', r)
             assert isinstance(r, dict), 'proxies格式错误，请注意proxies选项的格式，不要遗漏括号。'
     return r
 

shared_utils/logging.py

@@ -0,0 +1,72 @@
+from loguru import logger
+import logging
+import sys
+import os
+
+def chat_log_filter(record):
+    return "chat_msg" in record["extra"]
+
+def not_chat_log_filter(record):
+    return "chat_msg" not in record["extra"]
+
+def formatter_with_clip(record):
+    # Note this function returns the string to be formatted, not the actual message to be logged
+    record["extra"]["serialized"] = "555555"
+    max_len = 12
+    record['function_x'] = record['function'].center(max_len)
+    if len(record['function_x']) > max_len:
+        record['function_x'] = ".." + record['function_x'][-(max_len-2):]
+    record['line_x'] = str(record['line']).ljust(3)
+    return '<green>{time:HH:mm}</green> | <cyan>{function_x}</cyan>:<cyan>{line_x}</cyan> | <level>{message}</level>\n'
+
+def setup_logging(PATH_LOGGING):
+    
+    admin_log_path = os.path.join(PATH_LOGGING, "admin")
+    os.makedirs(admin_log_path, exist_ok=True)
+    sensitive_log_path = os.path.join(admin_log_path, "chat_secrets.log")
+    regular_log_path = os.path.join(admin_log_path, "console_log.log")
+    logger.remove()
+    logger.configure(
+        levels=[dict(name="WARNING", color="<g>")],
+    )
+
+    logger.add(
+        sys.stderr, 
+        format=formatter_with_clip,
+        # format='<green>{time:HH:mm}</green> | <cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>',
+        filter=(lambda record: not chat_log_filter(record)),
+        colorize=True,
+        enqueue=True
+    )
+
+    logger.add(
+        sensitive_log_path, 
+        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>',
+        rotation="10 MB",
+        filter=chat_log_filter,
+        enqueue=True, 
+    )
+
+    logger.add(
+        regular_log_path, 
+        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>',
+        rotation="10 MB",
+        filter=not_chat_log_filter,
+        enqueue=True, 
+    )
+
+    logging.getLogger("httpx").setLevel(logging.WARNING)
+
+    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！")
+
+    logger.bind(chat_msg=True).info("This message is logged to the file!")
+
+
+
+
+# logger.debug(f"debug message")
+# logger.info(f"info message")
+# logger.success(f"success message")
+# logger.error(f"error message")
+# logger.add("special.log", filter=lambda record: "special" in record["extra"])
+# logger.debug("This message is not logged to the file")