History

Lingxian Kong 786f83d182 Support Keystone session in python runtime

Keystone session can be used directly in user function to access
OpenStack services.

Include openstack clients in python requirements as well.

Add a python function example.

Implements: blueprint qinling-openstack-clients
Change-Id: I4798c404cb57bafe14049f57ba8db7c7125106c7

2017-07-03 01:16:40 +12:00

Dockerfile

Support Keystone session in python runtime

2017-07-03 01:16:40 +12:00

README.md

Support python function input

2017-06-15 22:59:27 +12:00

requirements.txt

Support Keystone session in python runtime

2017-07-03 01:16:40 +12:00

server.py

Support Keystone session in python runtime

2017-07-03 01:16:40 +12:00

README.md

Qinling: Python Environment

This is the Python environment for Qinling.

It's a Docker image containing a Python 2.7 runtime, along with a dynamic loader. A few common dependencies are included in the requirements.txt file. End users need to provide their own dependencies in their function packages through Qinling API or CLI.

Rebuilding and pushing the image

You'll need access to a Docker registry to push the image, by default it's docker hub. After modification, build a new image and upload to docker hub:

docker build -t USER/python-runtime . && docker push USER/python-runtime

Using the image in Qinling

After the image is ready in docker hub, create a runtime in Qinling:

http POST http://127.0.0.1:7070/v1/runtimes name=python2.7 image=USER/python-runtime