lambda-uploader | Helps package and upload Python lambda functions to AWS | Cloud Functions library

 by   rackerlabs Python Version: 1.3.0 License: Apache-2.0

kandi X-RAY | lambda-uploader Summary

kandi X-RAY | lambda-uploader Summary

lambda-uploader is a Python library typically used in Serverless, Cloud Functions applications. lambda-uploader has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install lambda-uploader' or download it from GitHub, PyPI.

Helps package and upload Python lambda functions to AWS
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            kandi-support Support

              lambda-uploader has a low active ecosystem.
              It has 261 star(s) with 62 fork(s). There are 97 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 26 open issues and 50 have been closed. On average issues are closed in 94 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of lambda-uploader is 1.3.0

            kandi-Quality Quality

              lambda-uploader has 0 bugs and 33 code smells.

            kandi-Security Security

              lambda-uploader has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              lambda-uploader code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              lambda-uploader is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lambda-uploader releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              lambda-uploader saves you 517 person hours of effort in developing the same functionality from scratch.
              It has 1214 lines of code, 95 functions and 15 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed lambda-uploader and discovered the below as its top functions. This is intended to give you an instant insight into lambda-uploader implemented functionality, and help decide if they suit your requirements.
            • Execute the function
            • Cleanup temporary workspace
            • Set s3 bucket
            • Set alias
            • Build a package
            • Setup temporary workspace
            • Build the project
            • Install the virtualenv
            • Get raw configuration
            • Loads the lambda configuration
            • Create subscription subscriptions
            • Subscribe to the Kinesis stream
            • Validate kinesis subscription
            • Check that the key value is of cls
            • Copy source files recursively
            • Return True if file should be ignored
            • Validate VPC config array
            • Validate a configuration value
            • Return package meta data
            Get all kandi verified functions for this library.

            lambda-uploader Key Features

            No Key Features are available at this moment for lambda-uploader.

            lambda-uploader Examples and Code Snippets

            No Code Snippets are available at this moment for lambda-uploader.

            Community Discussions

            QUESTION

            Getting PIL/Pillow 4.2.1 to upload properly to AWS Lambda Py3.6
            Asked 2020-Feb-12 at 21:17

            Background

            I have been struggling for the past few days to deploy a Lambda that uses Pillow, and I am deploying using Python 3.6. It may be noteworthy also that I am developing this on a Windows 10 environment.

            First Attempts

            I began by having pip install my packages strictly in my workspace by doing the following:

            ...

            ANSWER

            Answered 2018-May-08 at 20:15

            Basically, you have to compile the libraries (eg, PIL) either using Docker or, even better, an EC2 instance.

            1. Launch an Docker container like this: docker run --rm -it -v "%cd%:/code" lambci/lambda:build-python3.6 sh

            2. Inside there, navigate to the /code dir (cd /code), create a virtualenv (virtualenv env), activate it (source env/bin/activate) and finally, install your library (pip install pillow).

            3. Once you have installed your library, you can exit the container. The secret here is to move your package library to the root folder (where your main .py file is). For example, move the folder env/lib/python3.6/site-packages/PIL to the root.

            Then, zip your PIL folder together with your .py file and you're set!

            I just did it and documented it in full here: https://learn-serverless.org/post/deploying-pillow-aws-lambda/

            Source https://stackoverflow.com/questions/45473501

            QUESTION

            How to reduce the size of packaged python zip files for AWS Lambda
            Asked 2020-Feb-11 at 09:22

            Afternoon,

            I recently came across AWS Lambda and Azure Functions. AWS imposes a limit on the size of zipped as well as unzipped files, which for python scripts need to include all of the dependent modules. I have been using lambda-uploader to package my script and it's module dependencies, but the pandas package is too big.

            I have seen examples of people completing machine learning and using pandas on AWS Lambda (a little outdated though) but I can't see how they're doing it. Any suggestions?

            ...

            ANSWER

            Answered 2018-Mar-30 at 03:05

            The package that you upload to lambda should not contain anything but the code and support modules required for Lambda to run your code. The Lambda console UI limits the file size to 10MB but you can upload zip files up to 50MB if you place them in an S3 bucket and then request that Lambda load them from S3.

            Any other assets that you require for execution such as machine learning models should be uploaded separately to S3 and then downloaded from within your Lambda function at execution time. The Lambda function can write to a /tmp folder but keep in mind it only has access to 512MB of disk space. Also keep in mind that the Lambda function has a maximum runtime of 300 seconds so downloading really large files will take time away from your function doing real work with the data you're downloading.

            Source https://stackoverflow.com/questions/49567804

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

            Vulnerabilities

            No vulnerabilities reported

            Install lambda-uploader

            The latest release of lambda-uploader can be installed via pip:.

            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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            Install
          • PyPI

            pip install lambda-uploader

          • CLONE
          • HTTPS

            https://github.com/rackerlabs/lambda-uploader.git

          • CLI

            gh repo clone rackerlabs/lambda-uploader

          • sshUrl

            git@github.com:rackerlabs/lambda-uploader.git

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