Ritu Singh
To accurately timestamp log entries in Python logging, you can configure the logging module to use a formatter that includes timestamps. Here's how you can do it:
import logging
# Create a logger
logger = logging.getLogger("my_logger")
# Configure the logger to write logs to a file
logging.basicConfig(filename="my_log.log", level=logging.INFO)
# Create a custom formatter that includes a timestamp
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
# Create a handler and set the formatter
handler = logging.StreamHandler()
handler.setFormatter(formatter)
# Add the handler to the logger
logger.addHandler(handler)
# Log some messages
logger.info("This is an info message")
logger.warning("This is a warning message")
logger.error("This is an error message")
In the above code:
1. We import the `logging` module and create a logger named "my_logger."
2. We configure the logger to write logs to a file named "my_log.log" with a minimum log level of INFO.
3. We create a custom formatter that includes the timestamp using the `'%(asctime)s'` format specifier.
4. We create a handler (in this case, a `StreamHandler` to write logs to the console) and set the formatter to the custom formatter.
5. We add the handler to the logger using `logger.addHandler(handler)`.
6. Finally, we log some messages with different log levels.
As a result, each log entry will include a timestamp in the format specified in the formatter. This allows you to accurately timestamp your log entries in Python logging. You can customize the timestamp format by modifying the `formatter` string as needed.
Remember that you can adjust the logging level (`logging.INFO`, `logging.WARNING`, `logging.ERROR`, etc.) to control which log messages get recorded based on their severity.
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