Datadog Custom Logger

Usage

⚠️ Make sure to setup these 2 environment variables before using this package. You can either set them up by configuring the system environment variables or using python's os.environ[] method

Example

import os
os.environ["DD_API_KEY"] = "" #Your Datadog API Key
os.environ["DD_SITE"] = "datadoghq.com"

Steps

• Install pip package

  pip install datadog-custom-logger==1.1.1

• Import package

  from datadog_custom_logger import DatadogCustomLogHandler

• Initialize the handler

  datadog_custom_handler = DatadogCustomLogHandler(level=logging.INFO)  

  💡Note: if the level is set to logging.WARNING, you won't be able to see info or debug level logs.

Hierarchy:

- debug (logging.DEBUG)
- info (logging.INFO)
- warning (logging.WARNING)
- error (logging.ERROR)

• Attach the handler

  logging.basicConfig()
  logger = logging.getLogger()
  logger.addHandler(datadog_custom_handler)
  logging.getLogger().setLevel(logging.INFO)

• Now simply log the logs

  # This statement won't be logged because the .setLevel() is set to logging.INFO.
  # Please check the logging hierarchy for more.
  logging.debug("This is debug level code")
  # This will be logged as per .setLevel()
  logging.info("This is info level logs")

  Complete example: