lr_logger 0.1.6

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How to use

Generate a whl file by running the following command

poetry build

Upload the generated whl file in the dist folder to the environment in Microsoft Fabric

Import the package in a notebook

from logger import Logger

Create a logger object

logger = Logger("{DATADOG_API_KEY}", "{CUSTOMER}", "{ENVIROMENT}", "{WORKSPACE_NAME}", "{LOG_LEVEL_TRESHOLD}")

Default logging. If given threshold is met it will be send towards datadog,

!IMPORTANT! The source is mandatory and should be used in every default log for tracking in DataDog

logger.info("{SOURCE}", "This is a test message") 
logger.warning("{SOURCE}", "This is a test message") 
logger.critical("{SOURCE}", "This is a test message") 
logger.debug("{SOURCE}", "This is a test message") 

Logging pipeline metrics DataDog

logger.failed("{SOURCE}")
logger.success("{SOURCE}")

Development

Setup Environment

Install poetry using the following command

pip install poetry

Start Enviroment

To start the environment, run the following command

poetry shell

Install Dependencies

pip install -r requirements.txt

Build Project

poetry build

Run Tests

python -m unittest discover