Configure Logging module
Logging module provides basic configuration through the logging.basicConfig()
function. You can use this function to set the Log logging level (such as INFO or DEBUG), handler (such as console or file), and formatter (used to customize the appearance of log messages). The following is an example configuration:
import logging logging.basicConfig(level=logging.INFO, fORMat="%(asctime)s - %(levelname)s - %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
Add logger
To start logging, you need to create a logger. Get a logger using the logging.getLogger()
function, which will retrieve or create a logger from the root logger based on the name provided.
logger = logging.getLogger(__name__)
Record message
Use debug()
, info()
, warning()
, error()
and # from the logger ##critical() Method records messages. These methods correspond to different logging levels.
logger.info("Application started") logger.error("An error occurred")
Configure logging level
The logging level controls the types of messages that need to be logged. You can set the logging level using thelogging.setLevel() function. Levels are sorted
from lowest to highest, DEBUG, INFO, WARNING, ERROR, and CRITICAL.
logger.setLevel(logging.DEBUG)
Handlers are used to send log messages to a specific destination, such as the console, a file, or a remote
server. You can add a handler using the logging.addHandler() function.
<div class="code" style="position:relative; padding:0px; margin:0px;"><pre class="brush:python;toolbar:false;">import logging.handlers
# 将日志输出到控制台
console_handler = logging.StreamHandler()
logger.addHandler(console_handler)
# 将日志输出到文件
file_handler = logging.FileHandler("app.log")
logger.addHandler(file_handler)</pre><div class="contentsignin">Copy after login</div></div>
Formatters are used to customize the appearance of log messages. You can create a formatter using the
logging.Formatter() function. FormatterString
Use the following placeholders:
formatter = logging.Formatter("%(asctime)s - %(levelname)s - %(message)s") console_handler.setFormatter(formatter)
Follow these best practices to effectively utilize the Logging module:
Choose an appropriate logging level to avoid logging too much or too little information.
python
The Logging module is a powerful tool that can help you monitor and debug your application. By following this guide, you can quickly get started using the module and improve your application's logging practices.
The above is the detailed content of How to get started quickly using the Logging module in Python. For more information, please follow other related articles on the PHP Chinese website!