Ardana-Server (Lifecycle Manager)

REST Service to interact with the Ardana Lifecycle Manager.

Getting started

For a local dev environment with mock data, start by downloading local copies of the Ardana repositories using tools/setup_env.sh

If there is an error about pycrypto, make sure that python-devel and gcc are installed

Start the service with:

tox -e runserver

This will setup the environment including cloning necessary playbooks, templates, and models, and it will install the configuration processor (all in the data directory).

If when tox is setting up the environment you get an error like this:

No package 'libffi' found
c/_cffi_backend.c:2:20: fatal error: Python.h: No such file or directory
#include <Python.h>
^
compilation terminated.
error: Setup script exited with error: command 'gcc' failed with exit status 1

then you should install the packages python-devel (python-dev on debian-based distributions) and python-cffi.

When tox has completed setting up the environment, the ardana service will be listening on port 9085.

You can verify that it is running properly by using:

curl http://localhost:9085/api/v2/heartbeat

which will return the current epoch time

Debugging

There are a couple of ways to run this application in a debugger:

• If you are using PyCharm, you can go to

  File -> Settings

  Build, Execution, Deployment -> Python Debugger

  Tick/check the "Gevent compatible" checkbox

• If your IDE does not support Gevent-compatible debugging, you can temporarily edit ardana_service/__init__.py, changing the line containing:

  monkey_patch()
  

  to:

  monkey_patch(os=False, socket=True)