Simple tool for standardizing logging to JSON.
Project description
json-logger
Import into your Python project to standardize logs to JSON format. Works well with AWS CloudWatch and AWS Lambda Functions.
Installation
pip install -U bazze-json-logger
Usage
This package sets up a JSON formatter for the Python root logger. In order for this to work properly, be sure to run this package before setting up any new loggers.
import logging
import bazze_json_logger
logging.basicConfig(level=logging.INFO)
bazze_json_logger.setup()
logger = logging.getLogger()
logger.info('Hello World!')
Output
>>> {"timestamp": "2020-09-30T00:15:39.667110Z", "level": "INFO", "name": "root", "message": "Hello World!", "schema_version": "0.0.2"}
AWS Lambda Integration
When using AWS Lambda it is nice to have the aws_request_id
as part of the JSON object for tracing purposes. To do this we need to pass it into the setup()
method.
import logging
import bazze_json_logger
logging.basicConfig(level=logging.INFO)
def lambda_handler(event, context):
bazze_json_logger.setup(aws_request_id=context.aws_request_id)
logger = logging.getLogger()
logger.info('Hello World!')
Viewing the logs on AWS
Logs can be viewed locally in your terminal when testings. When the application is deployed, they will show up in the CloudWatch group in JSON format.
To view the CloudWatch logs in your console:
Install awslogs
pip install -U awslogs
Export AWS_PROFILE
export AWS_PROFILE=bazze
To view all log groups:
awslogs groups
To tail your log group:
awslogs get /aws/lambda/your-function --since 5m --watch
To query and aggregate the logs, I recommend using CloudWatch Insights.
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