Streams REST Data Viewer Application

This is a demo Python web app that displays streaming data from any Streams job running as a service in Cloud Pak for Data. Tuples sent to the EndpointSink operator are continuously retreived and updated in a table.

See this blog post for details about the Streams jobs as a service feature.

This app is a way to quickly view data from any Streams job that uses the EndpointSink operator. All you need are the Cloud Pak for Data credentials and the URL for the endpoint.

Features

• Automatically renders data containing latitude/longitude as a map

App displaying data from a Streams application

Run locally:

Install requirements: pip install -r requirements.txt

Run Locally:

1. Start the server: python wsgi.py
2. Go to http://127.0.0.1:5000/tables in your browser.
3. Enter the Streams endpoint URL and the credentials and click Submit.
4. Data should start flowing and the table should be updated every 5 seconds. Change update frequency here

Notes:

• Changes made to the client code (HTML/JS) are refreshed without restarting the server
• To retreive data from a new URL, reload the page or open a new tab.
• If you get an error popup from DataTables, reload the page.

Deploy to OpenShift:

oc new-app https://github.com/natashadsilva/streams-rest-viewer.git --name streamsdemo

oc create route edge  --service=streamsdemo

Show The app's route:

oc get route streamsdemo

Will print something like:

NAME           HOST/PORT                                                 PATH   SERVICES       PORT       TERMINATION   WILDCARD
streamsdemo    streamsdemo-mynamespace.apps.cpstreamsx2.cp.host.com               streamsdemo     8080-tcp                   None

Open the URl under https://<url> using the URL under the HOST/PORT column.

Making changes

After editing, push to GitHub.

Use oc start-build streamsdemo to pull the latest code.