Klayers | Python Packages as AWS Lambda Layers | Cloud Functions library

 by   keithrozario Python Version: v2023-04.1 License: Non-SPDX

kandi X-RAY | Klayers Summary

kandi X-RAY | Klayers Summary

Klayers is a Python library typically used in Serverless, Cloud Functions applications. Klayers has no bugs, it has no vulnerabilities and it has medium support. However Klayers build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Python Packages as AWS Lambda Layers
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            kandi-support Support

              Klayers has a medium active ecosystem.
              It has 1649 star(s) with 258 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 15 open issues and 90 have been closed. On average issues are closed in 76 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Klayers is v2023-04.1

            kandi-Quality Quality

              Klayers has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Klayers has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Klayers releases are available to install and integrate.
              Klayers has no build file. You will be need to create the build yourself to build the component from source.
              Klayers saves you 665 person hours of effort in developing the same functionality from scratch.
              It has 2231 lines of code, 80 functions and 41 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Klayers and discovered the below as its top functions. This is intended to give you an instant insight into Klayers implemented functionality, and help decide if they suit your requirements.
            • Add requirements to the bundle
            • Return the PK and PK for the latest build
            • Check to see if all of the regions to deploy
            • Modify data from a backup file
            • Writes an error to a JSON file
            • Map a dictionary of key - value pairs
            • Removes an existing CloudWatch Layer record
            • Insert the deleted layer in the table
            • Process a GitHub event
            • Verify a signature
            • Freeze requirements txt
            • Check the requirements of a given package
            • Download files from S3
            • Return the latest version of a pypi package
            • Upload package to S3
            • Install a python package
            • Delete a directory
            • Load configuration from GitHub
            • Download the latest config from GitHub
            • Return list of AWS regions
            • Return the requirements file for a given package
            • Export DynamoDB table to S3
            • Download an artifact from S3
            • Notify pipeline error
            • Send Slack notification to GitHub
            • Notify about a Pipeline error
            Get all kandi verified functions for this library.

            Klayers Key Features

            No Key Features are available at this moment for Klayers.

            Klayers Examples and Code Snippets

            NST Guide Data,Auto-updating layers,AWS Lambda
            Pythondot img1Lines of Code : 6dot img1License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            {my function} > Layers > Add a layer > Provide a layer version ARN
            
            arn:aws:lambda:us-east-1:552188055668:layer:geolambda:4
            
            mkdir -p layer/python
            pip install {package_list} -t layer/python
            cd layer
            zip -r aws-layer.zip python
              

            Community Discussions

            QUESTION

            AWS Cloudformation stuck in UPDATE_ROLLBACK_FAILED
            Asked 2021-Jul-27 at 22:03

            I deploy my AWS Lambdas via AWS Serverless Application Model (SAM). One of my Lambdas uses Numpy which I reference via a 3rd party layer from Klayers by @keithRozario. I was using Klayers-python38-numpy:16 but discovered that it was deprecated after I deployed today which left my stack in an UPDATE_ROLLBACK_FAILED state.

            One recommendation is to use Stack actions -> Continue update rollback from the AWS console; which I tried but it didn't work. The other solution is to delete the stack. However, this would be my first time deleting a stack and what I'd like to know is: if I delete my stack via the console, will my stack get recreated when I redeploy it? I've looked for answers to my question but I'm only finding references to deleting resources within the stack.

            What I'd also like to know is, my stack is the first stack of many in an AWS CodePipeline, will my pipeline still work if I delete my stack? Further, will I experience anymore failed stacks as I proceed to subsequent stacks within my pipeline?

            Lastly, the plan is to update to Klayers-python38-numpy:19 when I redeploy.

            EDIT: as per @marcin

            The problem is that the Klayers-python38-numpy:16, that is already deployed throughout my stack, is no longer available. I tried deploying a change to my code this morning, my pipeline failed during the CreateChangeSet step. The fact that this layer is no longer available is, I'm assuming, the reason my stack is unable to rollback.

            My pipeline looks like this:

            ...

            ANSWER

            Answered 2021-Jul-27 at 21:02

            if I delete my stack via the console, will my stack get recreated when I redeploy it?

            Yes. You can try to deploy same stack again, but probably you should investigate why it failed in the first place.

            What I'd also like to know is, my stack is the first stack of many in an AWS CodePipeline, will my pipeline still work if I delete my stack?

            Don't know, but probably not. Its use case specific and you haven't provide any info about the CP.

            Further, will I experience anymore failed stacks as I proceed to subsequent stacks within my pipeline?

            If one action fails, you can't proceed with further actions. Even if you could, other stacks can depend on the first one, and they will fail as well.

            Source https://stackoverflow.com/questions/68551612

            QUESTION

            Setting minimum role for elasticsearch instance put method
            Asked 2020-Oct-18 at 20:16

            I have this cloudformation template and it works as expected. It will add 1 record to elasticsearch index. But I am not sure if the Role is defined correctly. I need to set the minimum permissions for this function.

            ...

            ANSWER

            Answered 2020-Oct-18 at 20:16

            Yes, the permissions in the role match those from standard AWSLambdaBasicExecutionRole.

            However, your role will not work, as it has incorrect resource. Instead of:

            Source https://stackoverflow.com/questions/64400908

            QUESTION

            Is it possible to download the contents of a public Lambda layer from AWS given the ARN?
            Asked 2020-Jun-27 at 17:32

            I want to download the public arn for a more compact version of spacy from this GitHub repository.

            ...

            ANSWER

            Answered 2020-Jun-27 at 17:32

            You can get it from a Arn using the get-layer-version-by-arn function in the CLI.

            You can run the below command to get the source of the Lambda layer you requested.

            Source https://stackoverflow.com/questions/62613218

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

            Vulnerabilities

            No vulnerabilities reported

            Install Klayers

            You can download it from GitHub.
            You can use Klayers 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/keithrozario/Klayers.git

          • CLI

            gh repo clone keithrozario/Klayers

          • sshUrl

            git@github.com:keithrozario/Klayers.git

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