python 通过logging写入日志到文件和控制台的实例
如下所示:
import logging # 创建一个logger logger = logging.getLogger('mylogger') logger.setLevel(logging.DEBUG) # 创建一个handler,用于写入日志文件 fh = logging.FileHandler('test.log') fh.setLevel(logging.DEBUG) # 再创建一个handler,用于输出到控制台 ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) # 定义handler的输出格式 formatter = logging.Formatter('[%(asctime)s][%(thread)d][%(filename)s][line: %(lineno)d][%(levelname)s] ## %(message)s') fh.setFormatter(formatter) ch.setFormatter(formatter) # 给logger添加handler logger.addHandler(fh) logger.addHandler(ch) # 记录一条日志 logger.info('foorbar')
关于formatter的配置,采用的是%(<dict key>)s的形式,就是字典的关键字替换。提供的关键字包括:
Format | Description |
---|---|
%(name)s | Name of the logger (logging channel). |
%(levelno)s | Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL). |
%(levelname)s | Text logging level for the message ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'). |
%(pathname)s | Full pathname of the source file where the logging call was issued (if available). |
%(filename)s | Filename portion of pathname. |
%(module)s | Module (name portion of filename). |
%(funcName)s | Name of function containing the logging call. |
%(lineno)d | Source line number where the logging call was issued (if available). |
%(created)f | Time when the LogRecord was created (as returned by time.time()). |
%(relativeCreated)d | Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded. |
%(asctime)s | Human-readable time when the LogRecord was created. By default this is of the form “2003-07-08 16:49:45,896” (the numbers after the comma are millisecond portion of the time). |
%(msecs)d | Millisecond portion of the time when the LogRecord was created. |
%(thread)d | Thread ID (if available). |
%(threadName)s | Thread name (if available). |
%(process)d | Process ID (if available). |
%(message)s | The logged message, computed as msg % args. |
以上这篇python 通过logging写入日志到文件和控制台的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持我们。
您可能感兴趣的文章:
- python实现log日志的示例代码
- 基于Python log 的正确打开方式
赞 (0)