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Lumigo Tracer for Python v3.6 / v3.7 runtimes

Project description

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How To Use

With Lambda Layers:

With Serverless framework:

Manually

  • install with pip install lumigo_tracer
  • import using from lumigo_tracer import lumigo_tracer
  • wrap you lambda function using @lumigo_tracer or @lumigo_tracer(token='XXX'). As an example, your lambda should look like:
@lumigo_tracer(token='XXX')
def my_lambda(event, context):
    print('I can finally troubleshoot!')

Configuration

  • You can turn on the debug logs by setting the environment variable LUMIGO_DEBUG=true
  • You can prevent lumigo from sending keys that answer specific regexes by defining LUMIGO_BLACKLIST_REGEX=["regex1", "regex2"]. By default, we use the default regexes [".*pass.*", ".*key.*"]. All the regexes are case-insensitive.
  • Similarly, you can prevent lumigo from sending the entire headers and body of specific domains using the environment variable LUMIGO_DOMAINS_SCRUBBER=[".*secret.*"] (give it a list which is a json parsable), or by specify the list of regexes with the key domains_scrubber in the tracer's decorator. By default, we will use ["secretsmanager\..*\.amazonaws\.com", "ssm\..*\.amazonaws\.com", "kms\..*\.amazonaws\.com"].
  • In case of need, there is a kill switch, that stops all the interventions of lumigo immediately, without changing the code. Simply add an environment variable LUMIGO_SWITCH_OFF=true.

Enhanced print

In case you are using print() or python logging to log, then you can use the enhanced print capabilities that the tracer provides in order to view your logs in the platform view. Just add enhance_print=True to the tracer configuration and you are set.

@lumigo_tracer(token='XXX', enhance_print=True)
def my_lambda(event, context):
    print('I can view this line now')

Logging Programmatic Errors

You can use report_error function to write logs which will be visible in the platform.
Add from lumigo_tracer import report_error.

Then use report_error("<msg>") from anywhere in your lambda code.

Step Functions

If this function is part of a step function, you can add the flag step_function=True, and we will track the states in the step function as a single transaction.

@lumigo_tracer(token='XXX', step_function=True)
def my_lambda(event, context):
    print('Step function visibility!')

Note: we will add the key "_lumigo" to the return value of the function.

If you override the "Parameters" configuration, simply add "_lumigo.$": "$._lumigo".
For example:

"States": {
    "state1": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-west-2:ACCOUNT:function:FUNCTION_NAME",
      "Parameters": {
          "Changed": "parameters",
          "_lumigo.$": "$._lumigo"
        },
      "Next": "state2"
    },
    "state2": {
      "Type": "pass",
      "End": true
    }
}

Frameworks

Chalice

  • In chalice, you should add the following lines to the your file:
from lumigo_tracer import LumigoChalice
...
app = Chalice(app_name='chalice')
app = LumigoChalice(app, token="XXX")

Sentry/Raven Lambda Integration

Add our decorator beneath the Raven decorator

from lumigo_tracer import lumigo_tracer
...
@RavenLambdaWrapper()
@lumigo_tracer(token='XXX')
def lambda_handler (event, context):  return  {
 'statusCode' :  200,
 'body' : json.dumps( 'Hi!' ) }

How To Contribute

Prepare your machine

  • Create a virtualenv virtualenv venv -p python3
  • Activate the virtualenv by running . venv/bin/activate
  • Run pip install -r requirements.txt to install dependencies.
  • cd src and python setup.py develop.
  • If you use pycharm, make sure to change its virtualenv through the PyCharm -> Preferences -> Project -> Interpreter under the menu
  • Run pre-commit install in your repository to install pre-commits hooks.

Test

  • To run the unit tests, run py.test in the root folder.
  • To deploy the services for the component tests, move to the root test directory and run sls deploy. This can be performed only once if the resources doesn't change.
  • To run the component tests, run py.test --all.

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