On my AWS Lambda Python 3.6 function I\'d like to use Google Firestore (Cloud Firestore BETA) for caching purposes, but as soon as I add
from google.cloud im
Ran into same issue, i solved it by using the plugin serverless-python-requirements
for serverless framework and passing:
pythonRequirements:
dockerizePip: true
Essentially this installs your c-based packages (and all other packages) in a docker container where it would work and then symlinks them to your lambda fn.
A helpful guide can be found on: https://serverless.com/blog/serverless-python-packaging/
Plugin: https://github.com/UnitedIncome/serverless-python-requirements
The python client for Firestore relies on the C-based implementation of GRPC. This appears not to work by default in AWS Lambda.
Node.js users have reported similar problems and they've documented a workaround of building a docker image.
This should be similar to any getting any other python package that requires native code to work. Perhaps something like this method for getting scikit to work?
I hope this is enough to get you going in the right direction, but unfortunately I don't know anything about AWS Lambda :-(.