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Nanolib to enhance logging in aws lambda

Project description

==================
AWS Lambda Logging
==================

.. image:: https://gitlab.com/hadrien/aws_lambda_logging/badges/master/build.svg

.. image:: https://gitlab.com/hadrien/aws_lambda_logging/badges/master/coverage.svg?job=Run%20py.test

Better logging for aws lambda running on python runtime environment with a
highly opinionated JSON formatting to ease parsing on any logging system.

Usage
=====

.. code::

import aws_lambda_logging


def handler(event, context):
aws_lambda_logging.setup(level='DEBUG')
...

You can separately set the logging level for Boto (defaults to the same level):

.. code::

import aws_lambda_logging


def handler(event, context):
aws_lambda_logging.setup(level='DEBUG', boto_level='CRITICAL')
...



You can add keyword arguments to be logged each time, such as lambda request
id.

.. code::

import aws_lambda_logging


def handler(event, context):
aws_lambda_logging.setup(level='DEBUG',
aws_request_id=context.get('aws_request_id'))
log.debug('Just a try!')
...


It will output JSON formatted message:

.. code::

{
"level": "DEBUG",
"timestamp": "2016-10-03 13:27:57,438",
"apigw_request_id": "323fee86-896d-11e6-b7fd-2d914ea80962",
"location": "root.handler:6",
"message": "Just a try!"
}

You can input a JSON string:
.. code::
...
log.debug("{"Details": [1,2,3]}")
...

It will output JSON formatted message with the JSON string embedded properly:

.. code::

{
"level": "DEBUG",
"timestamp": "2016-10-03 13:27:57,438",
"apigw_request_id": "323fee86-896d-11e6-b7fd-2d914ea80962",
"location": "root.handler:6",
"message": {
"Details": [
1,
2,
3
]
}
}

Project details


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