Description
Logger allows you to either change the format or suppress the following keys at initialization: location, timestamp, xray_trace_id.
https://docs.powertools.aws.dev/lambda/python/latest/core/logger/#overriding-log-records
Code provided are just examples. In real-world new loggers are being defined in classes. The 'service_name' needs to stay the same for all the loggers (Through the environment variable) as the Lambda context needs to be included in all loggers (which will be defined at the entrypoint / above 'lambda_handler')
Documentation example code:
https://docs.powertools.aws.dev/lambda/python/2.21.0/core/logger/#set_correlation_id-method
from aws_lambda_powertools import Logger
from aws_lambda_powertools.logging import correlation_paths
from aws_lambda_powertools.utilities.typing import LambdaContext
logger = Logger()
@logger.inject_lambda_context(correlation_id_path=correlation_paths.API_GATEWAY_REST)
def lambda_handler(event: dict, context: LambdaContext) -> str:
pass
Expected Behaviour
Expected Output:
See 'location' key:
{"level":"INFO","location":"Test1","message":"Test1","timestamp":"2024-10-21 05:38:47,710+0000","service":"payment"}
{"level":"INFO","location":"Test2","message":"Test2","timestamp":"2024-10-21 05:38:47,710+0000","service":"payment"}Current Behaviour
Actual Output:
See 'location' key:
{"level":"INFO","location":"Test1","message":"Test1","timestamp":"2024-10-21 05:38:47,710+0000","service":"payment"}
{"level":"INFO","location":"Test1","message":"Test2","timestamp":"2024-10-21 05:38:47,710+0000","service":"payment"}Code snippet
from aws_lambda_powertools import Logger
logger = Logger(
service="payment",
location="Test1"
)
logger.info("Test1")
logger = Logger(
service="payment",
child=True,
location="Test2"
)
logger.info("Test2")Possible Solution
Unsure - need to fork and package locally, but am looking at the code:
def _init_logger(
self,
formatter_options: dict | None = None,
log_level: str | int | None = None,
**kwargs,
) -> None:
"""Configures new logger"""
# Skip configuration if it's a child logger or a pre-configured logger
# to prevent the following:
# a) multiple handlers being attached
# b) different sampling mechanisms
# c) multiple messages from being logged as handlers can be duplicated
is_logger_preconfigured = getattr(self._logger, LOGGER_ATTRIBUTE_PRECONFIGURED, False)
if self.child or is_logger_preconfigured:
return
Steps to Reproduce
See code snippet above
Powertools for AWS Lambda (Python) version
latest
AWS Lambda function runtime
3.12
Packaging format used
PyPi
Debugging logs
No response
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