In order to run this application you need the cf-light-api running at
a known endpoint.
Each cf-light-api
endpoint needs to be provided as a value by populating the CF_BUILDPACK_DASHBOARD_ENVIRONMENT
env
variable.
The cf_buildpack_dashboard
application accepts the following configuration parameters passed
by env variables:
CF_BUILDPACK_DASHBOARD_ENVIRONMENT
: a json dictionary mapping different environments to their api endpoints. For example{"test": "http://cf-light-api-test.example.com", "prod": "https:cf-light-api-prod.example.com"}
PORT
: the port to which the application binds. If running in Cloudfoundry it will be provided by the platform.
To build the tar.gz
pip package simply run: python setup.py sdist
from the project root directory.
cd {PROJECT_ROOT}/api/static/js/custom
browserify dashboard.js dashboard-browserified.js
You can install the application from pypi.org
by running pip install cf_buildpack_dashboard
. This will install an
executable script that you can call directly cf_buildpack_dashboard
You can target as well a Cloudfoundry installation by providing a manifest as in the following example:
applications:
- name: cf-buildpack-dashboard
instances: 1
memory: 256MB
command: ./run_app.py
env:
CF_BUILDPACK_DASHBOARD_ENVIRONMENTS: '{
"test": "https://cf-api.test.example.com",
"dev": "https://cf-api.dev.example.com",
"live": "https://cf-api.live.example.com"
}'
and push with cf push
The application can also be run as a simple python application by installing the
requirements and using the provided run_app.py
script.
For the backend tests use:
nosetests -s
For the frontend tests:
cd {PROJECT_ROOT}/api/static/js/custom
npm test (or yarn test)