Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs
OTHER License
apilogs
is a fork of the excellent awslogs <https://github.com/jorgebastida/awslogs>
_ project with specific customizations suited to querying and streaming logs for
Serverless APIs using Amazon API Gateway <https://aws.amazon.com/api-gateway/>
_ and AWS Lambda <https://aws.amazon.com/lambda/>
_.
Simply provide an API Gateway API ID and Stage name and apilogs
will automatically aggregate log events from all log streams for your API Gateway API as well as all Lambda function log streams attached to your API.
$ pip install apilogs
i.e. stream logs for your Serverless API: $ apilogs get --api-id xyz123 --stage prod --watch
Grep for errors one hour ago using credentials from AWS CLI profile "myprofile": $ apilogs get --api-id xyz123 --stage test2 --profile myprofile --aws-region us-east-1 --start='2h ago' --end='1h ago' | grep "ERROR"
.. image:: https://github.com/rpgreen/apilogs/blob/master/media/apilogs-screenshot.png
Aggregate logs from across streams.
Colored output.
List existing groups
$ apilogs groups
List existing streams
$ apilogs streams /var/log/syslog
Watch logs as they are created
$ apilogs get /var/log/syslog ALL --watch
Human-friendly time filtering:
--start='23/1/2015 14:23'
--start='2h ago'
--start='2d ago'
--start='2w ago'
--start='2d ago' --end='1h ago'
Retrieve event metadata:
--timestamp
Prints the creation timestamp of each event.--ingestion-time
Prints the ingestion time of each event.apilogs groups
: List existing groups
apilogs streams GROUP
: List existing streams withing GROUP
apilogs get GROUP [STREAM_EXPRESSION]
: Get logs matching STREAM_EXPRESSION
in GROUP
.
ALL
if you want any and don't want to type .*
.Note: You need to provide to all these options a valid AWS region using --aws-region
or AWS_REGION
env variable.
While querying for logs you can filter events by --start
-s
and --end
-e
date.
By minute:
--start='2m'
Events generated two minutes ago.--start='1 minute'
Events generated one minute ago.--start='5 minutes'
Events generated five minutes ago.By hours:
--start='2h'
Events generated two hours ago.--start='1 hour'
Events generated one hour ago.--start='5 hours'
Events generated five hours ago.By days:
--start='2d'
Events generated two days ago.--start='1 day'
Events generated one day ago.--start='5 days'
Events generated five days ago.By weeks:
--start='2w'
Events generated two week ago.--start='1 week'
Events generated one weeks ago.--start='5 weeks'
Events generated five week ago.Using specific dates:
--start='23/1/2015 12:00'
Events generated after midday on the 23th of January 2015.--start='1/1/2015'
Events generated after midnight on the 1st of January 2015.--start='Sat Oct 11 17:13:46 UTC 2003'
You can use detailed dates too.Note, for time parsing awslogs uses dateutil <https://dateutil.readthedocs.org/en/latest/>
_.
All previous examples are applicable for --end
-e
too.
You can use --filter-pattern
if you want to only retrieve logs which match one CloudWatch Logs Filter pattern.
This is helpful if you know precisely what you are looking for, and don't want to download the entire stream.
For example, if you only want to download only the report events from a Lambda stream you can run::
$ apilogs get my_lambda_group --filter-pattern="[r=REPORT,...]"
Full documentation of how to write patterns: http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/FilterAndPatternSyntax.html
Fork the repository on GitHub.
Write a test which shows that the bug was fixed or that the feature works as expected.
tox
command to run all the tests in all locally available python version.Send a pull request and bug the maintainer until it gets merged and published. :).
For more instructions see TESTING.rst
.
Although, the most straightforward thing to do might be use --aws-access-key-id
and --aws-secret-access-key
or --profile
, this will eventually become a pain in the ass.
AWS
account, my personal recommendation would be to configure aws-cli <http://aws.amazon.com/cli/>
_. apilogs
will use those credentials if available.AWS
accounts or you don't want to setup aws-cli
, I would recommend you to use envdir <https://pypi.python.org/pypi/envdir>
_ in order to make AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
available to apilogs
.