惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

大猫的无限游戏
大猫的无限游戏
D
DataBreaches.Net
M
MIT News - Artificial intelligence
量子位
N
Netflix TechBlog - Medium
The Cloudflare Blog
The GitHub Blog
The GitHub Blog
P
Proofpoint News Feed
人人都是产品经理
人人都是产品经理
B
Blog RSS Feed
B
Blog
博客园_首页
博客园 - Franky
MyScale Blog
MyScale Blog
有赞技术团队
有赞技术团队
Apple Machine Learning Research
Apple Machine Learning Research
MongoDB | Blog
MongoDB | Blog
云风的 BLOG
云风的 BLOG
爱范儿
爱范儿
H
Help Net Security
Y
Y Combinator Blog
Stack Overflow Blog
Stack Overflow Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
酷 壳 – CoolShell
酷 壳 – CoolShell

jdhao's digital space

Conversion between base64 and OpenCV or PIL Image 腾讯云对象存储博客图床开启 CDN 加速(不需要购买额外域名) Search and Replace in Multiple Files in Vim/Neovim Change Table Column Width in LaTeX Image or Table Side by Side in LaTeX LaTeX 并排显示图像或表格 Firenvim: Neovim inside Your Browser Content inside HTML tags missing in Latest Hugo? Creating Markdown Front Matter with Ultisnips Labelme JSON 标注格式转 voc XML 格式 Nifty Nvim Techniques That Make My Life Easier -- Series 6 macOS 下如何为视频制作字幕 Running Command Asynchronously inside Neovim Resolving Merge Conflict after Git Stash Pop Pylint: command not found? A Hands-on Experience with Neovim's Built-in LSP Support How to Convert PDF to Images with Imagemagick 互联网上常用缩略语集锦 File Backup in Neovim Converting PDF Pages to Images with Poppler Nifty Nvim Techniques That Make My Life Easier -- Series 5 Neovim Configuration for System-wide Use How to sort a list of tuple or list in Python -- lambda or itemgetter? Building A Vim Statusline from Scratch 人类第一颗原子弹爆炸始末 Distributed Training in PyTorch with Horovod Learning Expect Programming Essential Knowledge about SSH Nifty LaTeX Techniques -- Series 1 更改 Adsense 邮寄地址,重新寄送 PIN
Configure Python logging with dictConfig
2024-03-12 · via jdhao's digital space

Apart from directly configuring the Python logging in the code itself. We can also configuring the logging using fileConfig or dictConfig.

The dictConfig is more powerful than fileConfig and is the recommended way to configure logging.

import json
import logging

with open("path/to/logging_conf.json") as f:
    conf = json.load(f)

logging.config.dictConfig(conf)

The content of logging_conf.json:

{
    "version": 1,
    "disable_existing_loggers": True,
    "formatters": {
        "standard":{
            "format": "%(asctime)s [%(levelname)s] [%(name)s:%(lineno)d]: %(message)s"
        }
    },
    "handlers":
    {
        "console":{
            "level": "DEBUG",
            "formatter": "standard",
            "class": "logging.StreamHandler",
            "stream": "ext://sys.stdout"
        }
    },
    "loggers":{
        "requests":{
            "level": "WARNING"
        },
        "my_module":{
            "level": "INFO"
        }
    },
    "root": {
        "level": "DEBUG",
        "handlers": ["console"]
    }
}

Note that the ext://sys.stdout is a special syntax to refer to internal Python object. More info can be found in https://docs.python.org/3/library/logging.config.html#access-to-external-objects.

You can also write the logging configuration in YAML format (easier to write) and read it using the yaml package.

version: 1
disable_existing_loggers: true
formatters:
    standard:
        format: '%(asctime)s [%(levelname)s] [%(name)s:%(lineno)d]: %(message)s'
handlers:
    console:
        level: DEBUG
        formatter: standard
        class: logging.StreamHandler
        stream: ext://sys.stdout
loggers:
    requests:
        level: WARNING
    my_module:
        level: INFO
root:
    level: DEBUG
    handlers: ['console']

disable_existing_loggers#

Note that you should be very careful with disable_existing_loggers. If this option is set to True, any logger that is defined before calling logging.config.dictConfig() will be disabled. This may cause subtle logging issues that are hard to debug.

For example, suppose you have a module my_module.py:

import logging

logger = logging.getLogger(__name__)

# ....

def some_func():
    logger.info("some message from my_module")
    # ... other statements

In your entry point to this project, you have something like this:

import logging
import my_module

logging.config.dictConfig("/path/to/config/json")

my_module.some_func()

The logging message from my_module will not be printed. You need to set disable_existing_loggers to False, or you need to configure the logger for my_module.py explicitly under the loggers keys in the JSON config file.

Under the key loggers, you can configure the behavior of different loggers.

Disable logging for 3rd party package/modules#

To disable logging from 3rd party packages/modules, e.g., “urllib3”, we can configure their logging level in the configuration file like this:

loggers:
    urllib3:
        level: WARNING

Or you can also use Python code to disable the logging for a module completely:

logging.getLogger("urllib3").disabled = True

Check existing logger config?#

Sometimes, we way to check the configuration for a logger to debug the logging issue. To check the existing loggers, we can use logging.root.manager.loggerDict. The keys are the module names and the value are the respecitve loggers.

import logging
current_logger = logging.root.manager.loggerDict['__main__']
print(current_logger.level, current_logger.disabled)

After you get the loggers, you can check the handlers associated with the loggers. Further, you can also check the formatter that is used by a handler. In this way, you can get an idea of the configuration for the different loggers.

Note that logging.root.manager.loggerDict does not contain the root logger. To get the root logger, you can call logging.getLogger() with empty argument:

root_logger = logging.getLogger()
print(root_logger.handlers[0].formatter._fmt)

References#