History

Lingxian Kong 089f41de2b Support function execution log query

After execution is finished, Qinling provides API to query execution
log for audit, debug or other purposes.

Implements: blueprint qinling-logs
Change-Id: Ie92619bf238c8e72e15c350c65bfbbb88a065f97

2017-08-13 00:33:51 +12:00

Dockerfile

Disable python buffer for stdout/stderr

2017-07-17 23:47:23 +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 function execution log query

2017-08-13 00:33:51 +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