Stackalytics/HowToRun
Prerequistics
Stackalytics depends on the following applications:
* Python-pip Python Package Index * libpython2.7-dev - development C headers for Python * Git - used to retrieve project repos and get their log * Memcached - used to store commits * Nginx - scalable web server * Uwsgi, uwsgi-plugin-python - application container for Nginx and plugin for Python
Web dashboard is made on Flask framework. Typical deployment of Flask application uses nginx as front-end server and uwsgi as app container. For development purposes Stackalytics may be run on DevStack. The project doesn't require any libraries not listed in OpenStack requirements project.
Installation
Stackalytics deployment is verified on both Ubuntu and CentOS, however the first option is preferable since it has all necessary components as system packages.
1. Install necessary applications
Particular command depends on linux distribution. Here is example for Debian based system:
sudo apt-get install libpython2.7-dev python-pip git memcached nginx uwsgi uwsgi-plugin-python
2. Configure memcached
Add two options to startup script:
-M Disable automatic removal of items from the cache when out of memory. Additions will not be possible until adequate space is freed up. -m 1024 Use <num> MB memory max to use for object storage; the default is 64 megabytes.
Note: On Debian/Ubuntu systems using the memcached package, this configuration is stored in /etc/memcached.conf
3. Create folders needed for Stackalytics
mkdir /opt/stack/ chown stackalytics.stackalytics /opt/stack mkdir /var/local/stackalytics chown stackalytics.stackalytics /var/local/stackalytics
The last folder is a place where all repos are checked out. 'stackalytics' is an account that will be used for Git and Gerrit polling.
4. Check out Stackalytics code
cd /opt/stack/ git clone git://github.com/stackforge/stackalytics.git
5. Install Stackalytics:
cd /opt/stack/stackalytics sudo pip install .
This will install Stackalytics and all needed libraries into the system.
6. Process all registered repos:
stackalytics-processor
This command checks out all repos and parses them. Debugging may be enabled by passing --debug parameter (--verbose for error debugging)
7. Run dashboard in development mode:
stackalytics-dashboard
This command starts dashboard to listen on port 5000. The port may be changed by --listen-port parameter.
Production deployment
Production deployment is done with help of uwsgi and nginx.
uwsgi config:
<uwsgi> <socket>/tmp/stackalytics.sock</socket> <pythonpath>/opt/stack/stackalytics/dashboard/</pythonpath> <module>web:app</module> <plugins>python27</plugins> <env>STACKALYTICS_CONF=/usr/local/etc/stackalytics/stackalytics.conf</env> </uwsgi>
nginx config:
server { listen 80; location / { uwsgi_pass unix:///tmp/stackalytics.sock; include uwsgi_params; } location /static/ { alias /opt/stack/stackalytics/stackalytics/dashboard/static/; } }