aws-lambda-build | Build AWS Lambda package | AWS library
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QUESTION
I am certain that this issue is down to my own ignorance of Python and pip, however, I have scoured the net and tried many things to get this to work, so far, to no avail.
I have a docker image based on the Bitbucket pipelines default image (version 2): atlassian/default-image:2
, which uses Python 2.7.x. And SAM doesn't work with that, I looked at AWS' documentation and this said that the SAM CLI no longer supports Python 2.7.x, so I removed all Python installations from the docker container (debugging the Bitbucket pipeline locally) and attempted to make sure that there was only Python3 and pip3 installed (I even setup symlinks from /usr/bin/python
to /usr/bin/python3
and from /usr/bin/pip
to /usr/bin/pip3
- although, that seems like such a dumb thing to have to do).
I also tried doing the above with Python 3.6, as the error message (shown below) seemed to show a Python 'f-String' syntax, which according to Python's docs was introduced in 3.6.
Nothing I do seems to work and the more I look at this, the more I get tied up in an seemingly never ending web of Python versions and linux packages!
The error (and python versions) can be seen here:
...ANSWER
Answered 2021-Apr-13 at 03:51In most cases, instead of modifying the python installation in an existing image or installing a new one, I would recommend just using a docker image that already has python 3 installed. This bitbucket page talks about using different base images.
There's also a page about using a python base image spectifically.
Aside from this, depending on how you want to use SAM, you may be able to use the builtin Bitbucket "pipe" for deploying to SAM instead. Here is some info on pipes.. I think this would bypass the need to install SAM in your build.
I haven't used that particular pipe myself but the way I think it works is you build your deploy artifact file in your pipeline, caching it so it's available in future steps, then you set that file as the input for the SAM pipe to deploy it. The SAM pipe runs in a separate container, so it's already installed in that container. You just pass in the file.
Finally, I have never used SAM, so take this with a grain of salt, but I don't see a reference to installing the CLI with pip
either on the official AWS Linux installation docs or on the github page. I did find this issue, from which I glean the following:
pip
installation is possible but not recommended- Python 3.5 is not supported by aws sam cli
- If you use the installer in the instructions, it sounds like it will take care of the python versioning for you.
- They would like to target a single version of Python, so if you use pip, maybe the latest or 2nd latest Python version will work. Just a guess...
QUESTION
I'm both learning python and attempting to build multiple lambdas that will both store and process Spotify listening history. I originally wrote one lambda with all dependencies packaged in the same directory and imported using relative paths.
Once creating similar functions which use the same dependencies, I've split the dependencies from the function and built them using pip3 and setup.py. When running pip3 list I can see the packages as expected. To execute the function locally using sam build && sam local invoke SpotifyPlayHistoryListener --env-vars env.json --event events/event.json
and verify success, I'm specifying a layer I've built - this works!
To avoid having to rebuild the layer and modifying my function, I'd like to be able to revert to using a requirements.txt file and removing the specified layer.
Steps to reproduce the issue:
...ANSWER
Answered 2020-Feb-13 at 08:34As my dependencies weren't published to pypi, I needed to modify the entries in requirement.txt to use the actual file path to the package.
QUESTION
I am writing a lambda function just to get some data from an AWS RDS table. I am able to successfully run sam package
and sam deploy
to deploy the function to AWS.
When I run sam build
it successfully builds and then I run sam local invoke
to test the lambda locally, but I get the following error output
ANSWER
Answered 2019-Dec-02 at 19:58I ended up needing to uninstall the version of sam-cli I installed via pip and use the Windows MSI installer instead. Apparently using the MSI is the required installation method for Windows. And then use 'sam.cmd' to invoke the sam cli.
QUESTION
I've been learning the ropes with AWS SAM and have successfully deployed a number of lambdas together with dependencies and other AWS services. However, I seem to have run into a problem when trying to deploy a lambda which relies on some specific dependencies.
Here is my requirements.txt file:
...ANSWER
Answered 2019-Aug-29 at 12:01I've managed to get a workaround to build and deploy lambdas that need the paramiko library using a docker container in interactive mode. Anyone having the same problem have a look here
QUESTION
I'm trying to use the Sharp library in AWS Lambda but it requires the module be compiled for the lambda environment. The instructions say to create an ec2 instance and compile it on there - but I noticed that there are a few tools to help with that but they are all at least a year old with no maintenance. Is there a package that comes with Serverless, or something that's considered the standard way now?
I've found these but they are all at least a year old since a commit
https://github.com/node-hocus-pocus/thaumaturgy
https://github.com/Max-Kolodezniy/aws-lambda-build
https://github.com/tomdale/lambda-packager
Maybe there is a directory somewhere where I can just download a precompiled Sharp library for AWS lambda?
...ANSWER
Answered 2017-Apr-26 at 08:18I made it work using sharp-0.17.3-aws-linux-x64-node-6.10.1.tar.gz tarball, that was created on AWS EC2 instance running Nodejs 6.10.1. The tarball contains node_modules/
directory with sharp
system binaries (libvips library) specific to the Lambda execution environment.
Project structure
To avoid conflicts between my local node_modules/
(Nodejs 7.5 on Mac) and node_modules/
inside the tarball (Nodejs 6.10 on Linux), I'm creating my Lambda service under a subdirectory.
Project structure looks as follows:
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