run_lambda | locally running and testing Python AWS Lambda functions | Function As A Service library

by ethantkoenig Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | run_lambda Summary

run_lambda is a Python library typically used in Serverless, Function As A Service applications. run_lambda has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However run_lambda has 1 bugs. You can install using 'pip install run_lambda' or download it from GitHub, PyPI.

Utilities for locally running and testing Python AWS Lambda functions

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Quality

Security

License

Reuse

Support

run_lambda has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1113 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of run_lambda is current.

Quality

run_lambda has 1 bugs (0 blocker, 1 critical, 0 major, 0 minor) and 11 code smells.

Security

run_lambda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

run_lambda code analysis shows 0 unresolved vulnerabilities.

There are 16 security hotspots that need review.

License

run_lambda is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

run_lambda releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

run_lambda saves you 364 person hours of effort in developing the same functionality from scratch.

It has 870 lines of code, 100 functions and 14 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed run_lambda and discovered the below as its top functions. This is intended to give you an instant insight into run_lambda implemented functionality, and help decide if they suit your requirements.

Runs the given event
Setup the timeout
Activate the session
Create a MockLambdaContext
Create a mockClientContext from a JSON object
Creates a MockCognitoIdentity from a JSON string
Generate a random log stream name
Generate a random hex string
Return json representation of lambda context
Argument parser
Load a module
Loads a context
Generate a random AWS request id
Setup the autodoc extension

Get all kandi verified functions for this library.

run_lambda Key Features

No Key Features are available at this moment for run_lambda.

run_lambda Examples and Code Snippets

No Code Snippets are available at this moment for run_lambda.

Community Discussions

Trending Discussions on run_lambda

Python: running eel with multithreading results in a error

Getting 'invalid reference format' error on localstack when use 'aws lambda invoke'

The "for_each" value depends on resource attributes that cannot be determined (Terraform)

QUESTION

Python: running eel with multithreading results in a error

Asked 2021-Sep-05 at 10:35

NOTE:-

if run eel without threading, it works just fine
if i run threading without eel, it works just fine
if i use Multiprocessing with eel, it works just fine
i have tried uninstalling and reinstalling python several times, i have also tried uninstalling and reinstalling eel several times, but with no success so far...

i don't know if its a problem with python or eel or both.

main.py

...

ANSWER

Answered 2021-Sep-03 at 18:03

The Eel documentation has a section titled Asynchronous Python that recommends an Eel-friendly approach.

Your example re-written to follow that approach would look something like this:

Source https://stackoverflow.com/questions/69041719

QUESTION

Getting 'invalid reference format' error on localstack when use 'aws lambda invoke'

Asked 2021-Jan-26 at 04:57

I'm using localstack/terraform/aws (latest versions) to play with lambda on aws locally. The configuration can be found here https://github.com/wentao-daommo/aws-local

While I can successfully setup/deploy everything and list my lambda function via 'aws lambda list-functions'. I was unable to invoke the function with command

...

ANSWER

Answered 2021-Jan-26 at 04:57

Your handler is incorrect and you are missing runtime. I would also recommend using standard main.js in the form of:

Source https://stackoverflow.com/questions/65895930

QUESTION

The "for_each" value depends on resource attributes that cannot be determined (Terraform)

Asked 2020-Dec-28 at 02:31

I have a terraform configuration which needs to:

Create a lambda
Invoke the lambda
Iterate on the lambda's json result which returns an array and create a CloudWatch event rule per entry in the array

The relevant code looks like:

...

ANSWER

Answered 2020-Sep-08 at 00:29

If you want to solve this in pure terraform, the workarounds are at the moment to either split your deployment into multiple stacks/phases (e.g. first deploy a stack with the lambda, and then the second stack that is using the lambda as a data source) or as you already found out, partially deploy your stack using -target and then deploy the full stack. (Be sure to remove the depends_on in this case as it will defer reading the data source to the apply phase all the time.)

Another option is to use a tool like terragrunt that solves the partial apply issue by deploying a set of terraform modules in the right order if all dependencies between those modules are defined. with terragrunt you can deploy everything in a single run of e.g. terragrunt apply-all. The Downside is you still won't get a nice preview of changes in your CI to be reviewed by your peers.

I would suggest splitting this into two phases as you might actually want to review both before applying the final changes. Else you might end up with a setup where a broken lambda results in destroying all your existing cloudwatch rules unnoticed by you or your team.

Source https://stackoverflow.com/questions/63768921

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install run_lambda

You can install using 'pip install run_lambda' or download it from GitHub, PyPI.
You can use run_lambda like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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