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Run lambda function on local machine
Please use a newly created virtualenv of Python 3.7+.
Within virtualenv, run the following command.
$ pip install python-lambda-local
This will install the package with name python-lambda-local in the virtualenv.
Now you can use the command python-lambda-local to run your AWS Lambda function written in Python on your own machine.
Run python-lambda-local -h to see the help.
usage: python-lambda-local [-h] [-l LIBRARY_PATH] [-f HANDLER_FUNCTION]
[-t TIMEOUT] [-a ARN_STRING] [-v VERSION_NAME]
[-e ENVIRONMENT_VARIABLES] [--version]
FILE EVENT
Run AWS Lambda function written in Python on local machine.
positional arguments:
FILE lambda function file name
EVENT event data file name
optional arguments:
-h, --help show this help message and exit
-l LIBRARY_PATH, --library LIBRARY_PATH
path of 3rd party libraries
-f HANDLER_FUNCTION, --function HANDLER_FUNCTION
lambda function handler name, default: "handler"
-t TIMEOUT, --timeout TIMEOUT
seconds until lambda function timeout, default: 3
-a ARN_STRING, --arn-string ARN_STRING
ARN string for lambda function
-v VERSION_NAME, --version-name VERSION_NAME
lambda function version name
-e ENVIRONMENT_VARIABLES, --environment-variables ENVIRONMENT_VARIABLES
path to flat json file with environment variables
--version print the version of python-lambda-local and exit
Suppose your project directory is like this:
├── event.json
├── lib
│ ├── rx
│ │ ├── abstractobserver.py
│ │ ├── ... (package content of rx)
...
│ │ └── testscheduler.py
│ └── Rx-1.6.1.dist-info
│ ├── DESCRIPTION.rst
│ ├── METADATA
│ ├── metadata.json
│ ├── pbr.json
│ ├── RECORD
│ ├── top_level.txt
│ ├── WHEEL
│ └── zip-safe
└── test.py
The handler's code is in test.py and the function name of the handler is handler.
The source depends on 3rd party library rx and it is installed in the directory lib.
The test event in json format is in event.json file.
pip install --target lib rx==1.6.1
from __future__ import print_function from rx import Observable def handler(event, context): xs = Observable.from_(range(event['answer'])) ys = xs.to_blocking() zs = (x*x for x in ys if x % 7 == 0) for x in zs: print(x)
{
"answer": 42
}Within the project root directory, you can run the lambda function with the following command
python-lambda-local -l lib/ -f handler -t 5 test.py event.json
The output will be like:
[root - INFO - 2018年11月20日 17:10:53,352] Event: {'answer': 42}
[root - INFO - 2018年11月20日 17:10:53,352] START RequestId: 3c8e6db4-886a-43da-a1c7-5e6f715de531 Version:
0
49
196
441
784
1225
[root - INFO - 2018年11月20日 17:10:53,359] END RequestId: 3c8e6db4-886a-43da-a1c7-5e6f715de531
[root - INFO - 2018年11月20日 17:10:53,360] REPORT RequestId: 3c8e6db4-886a-43da-a1c7-5e6f715de531 Duration: 2.17 ms
[root - INFO - 2018年11月20日 17:10:53,360] RESULT:
None
call(func, event, context, environment_variables={})
Call a handler function func with given event, context and custom environment_variables.
- Make sure the 3rd party libraries used in the AWS Lambda function can be imported.
pip install rx==1.6.1
- To call the lambda function above with your python code:
from lambda_local.main import call from lambda_local.context import Context import test event = { "answer": 42 } context = Context(5) if __name__ == '__main__': call(test.handler, event, context)