This repository is just a simple tester client with some sample client code for working with the Current Intelligent Environment APIs with Python. It is not intended as a production example but an illustration so lacks error handling, pep8, etc.
After pulling down this repo, you can build a docker image for the runtime environment and run in a container with the same python environment I used.
For example the following command run in this repos will build your image:
docker build -t current-api-demo .
You then find the image in your docker images and can run it:
docker run --rm --volume=$(pwd):/root -it current-api-demo
If you don't know docker or have issues with a network firewall requiring a proxy you can find other better resources to go into those issues.
It is expected you've already created UAA and IE Traffic Planning services
bound to an application. You'll then want to set some environment variables
based on the cf env results you get.
- UAA_URI
- UAA_CLIENT
- UAA_CLIENT_SECRET
- TRAFFIC_URI
- TRAFFIC_ZONE (Predix-Zone-Id for ie-traffic)
Once you are in your container, you can just run the client and should see output like this:
root@43b8f51c1e31:~# ./client.py
{"event-uid":"fe5742c0-aff2-4747-8cb2-54e2dac8c758","timestamp":1468481476061,"event-type":"TFEVT","device-uid":"HYP1040-75","location-uid":"HYP1040-75-Lane2","properties":{"vehicle-type":"car"},"measures":[{"tag":"vehicleCount","value":4},{"tag":"speed","value":19,"unit":"MPS"},{"tag":"direction","value":271,"unit":"DEGREE"}]}