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edx-platform/doc/development.md
Calen Pennington 4f555f6480 Merge remote-tracking branch 'origin/master' into feature/cale/xmodule-storage-model
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	cms/djangoapps/contentstore/course_info_model.py
	cms/djangoapps/contentstore/module_info_model.py
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	cms/djangoapps/contentstore/views.py
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	lms/djangoapps/courseware/access.py
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	lms/djangoapps/courseware/models.py
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# Development Tasks
## Prerequisites
### Ruby
To install all of the libraries needed for our rake commands, run `bundle install`.
This will read the `Gemfile` and install all of the gems specified there.
### Python
Run the following::
pip install -r requirements.txt
pip install -r test-requirements.txt
### Binaries
Install the following:
* Mongodb (http://www.mongodb.org/)
### Databases
First start up the mongo daemon. E.g. to start it up in the background
using a config file:
mongod --config /usr/local/etc/mongod.conf &
Check out the course data directories that you want to work with into the
`GITHUB_REPO_ROOT` (by default, `../data`). Then run the following command:
rake resetdb
## Starting development servers
Both the LMS and Studio can be started using the following shortcut tasks
rake lms # Start the LMS
rake cms # Start studio
rake lms[cms.dev] # Start LMS to run alongside Studio
rake lms[cms.dev_preview] # Start LMS to run alongside Studio in preview mode
Under the hood, this executes `django-admin.py runserver --pythonpath=$WORKING_DIRECTORY --settings=lms.envs.dev`,
which starts a local development server.
Both of these commands take arguments to start the servers in different environments
or with additional options:
# Start the LMS using the test configuration, on port 5000
rake lms[test,5000] # Executes django-admin.py runserver --pythonpath=$WORKING_DIRECTORY --setings=lms.envs.test 5000
*N.B.* You may have to escape the `[` characters, depending on your shell: `rake "lms[test,5000]"`
## Running tests
### Python Tests
This runs all the tests (long, uses collectstatic):
rake test
If if you aren't changing static files, can run `rake test` once, then run
rake fasttest_lms
or
rake fasttest_cms
xmodule can be tested independently, with this:
rake test_common/lib/xmodule
To run a single django test class:
django-admin.py test --settings=lms.envs.test --pythonpath=. lms/djangoapps/courseware/tests/tests.py:TestViewAuth
To run a single django test:
django-admin.py test --settings=lms.envs.test --pythonpath=. lms/djangoapps/courseware/tests/tests.py:TestViewAuth.test_dark_launch
To run a single nose test file:
nosetests common/lib/xmodule/xmodule/tests/test_stringify.py
To run a single nose test:
nosetests common/lib/xmodule/xmodule/tests/test_stringify.py:test_stringify
Very handy: if you uncomment the `--pdb` argument in `NOSE_ARGS` in `lms/envs/test.py`, it will drop you into pdb on error. This lets you go up and down the stack and see what the values of the variables are. Check out http://docs.python.org/library/pdb.html
### Javascript Tests
These commands start a development server with jasmine testing enabled, and launch your default browser
pointing to those tests
rake browse_jasmine_{lms,cms}
To run the tests headless, you must install phantomjs (http://phantomjs.org/download.html).
rake phantomjs_jasmine_{lms,cms}
If the `phantomjs` binary is not on the path, set the `PHANTOMJS_PATH` environment variable to point to it
PHANTOMJS_PATH=/path/to/phantomjs rake phantomjs_jasmine_{lms,cms}
## Getting More Information
Run the following to see a list of all rake tasks available and their arguments
rake -T
## Testing using queue servers
When testing problems that use a queue server on AWS (e.g. sandbox-xqueue.edx.org), you'll need to run your server on your public IP, like so.
`django-admin.py runserver --settings=lms.envs.dev --pythonpath=. 0.0.0.0:8000`
When you connect to the LMS, you need to use the public ip. Use `ifconfig` to figure out the numnber, and connect e.g. to `http://18.3.4.5:8000/`
## Content development
If you change course content, while running the LMS in dev mode, it is unnecessary to restart to refresh the modulestore.
Instead, hit /migrate/modules to see a list of all modules loaded, and click on links (eg /migrate/reload/edx4edx) to reload a course.
### Gitreload-based workflow
github (or other equivalent git-based repository systems) used for
course content can be setup to trigger an automatic reload when changes are pushed. Here is how:
1. Each content directory in mitx_all/data should be a clone of a git repo
2. The user running the mitx gunicorn process should have its ssh key registered with the git repo
3. The list settings.ALLOWED_GITRELOAD_IPS should contain the IP address of the git repo originating the gitreload request.
By default, this list is ['207.97.227.253', '50.57.128.197', '108.171.174.178'] (the github IPs).
The list can be overridden in the startup file used, eg lms/envs/dev*.py
4. The git post-receive-hook should POST to /gitreload with a JSON payload. This payload should define at least
{ "repository" : { "name" : reload_dir }
where reload_dir is the directory name of the content to reload (ie mitx_all/data/reload_dir should exist)
The mitx server will then do "git reset --hard HEAD; git clean -f -d; git pull origin" in that directory. After the pull,
it will reload the modulestore for that course.
Note that the gitreload-based workflow is not meant for deployments on AWS (or elsewhere) which use collectstatic, since collectstatic is not run by a gitreload event.
Also, the gitreload feature needs MITX_FEATURES['ENABLE_LMS_MIGRATION'] = True in the django settings.