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Setting up PyCharm for edX development

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cahrens edited this page Oct 14, 2014 · 20 revisions

Debugging the devstack image with PyCharm professional edition

Debugging with devstack is more complex than in a direct local development environment, as the source code lives on your local machine but the code is executing within the Vagrant image. One solution is to use PyCharm Professional Edition from JetBrains. It is able to debug devstack using its concept of remote Python interpreters. Similar setups should also work for any IDE with remote interpreter.

Here are the steps to use PyCharm on MacOS (other Unix environments should be similar).

  • First, start up a terminal and give the 'edxapp' user a password
  vagrant ssh
  sudo passwd edxapp
  [type in a password of your choice]
  • Next, create the .pycharm_helpers directory where PyCharm will store its remote debugging code
  sudo su edxapp
  mkdir .pycharm_helpers
  • Create a PyCharm project for devstack (if you don't have one already):
    • Select "New Project..." from the "File" menu
    • Select your devstack folder as the "Location"
    • Choose "Empty project" for "Project type" (note: don't choose "Django project" as that can't currently be interpreted remotely)
    • Say "Yes" to the question about using existing sources for the project
  • To make PyCharm's editor traverse imports in edx-platform python modules, go to "File > Settings... > Project Structure" and mark the following directories as "Source Folders":
    • lms/djangoapps
    • lms/lib
    • cms/djangoapps
    • cms/lib
    • common/djangoapps
    • common/lib
  • You can also mark the following symlinks to be "Excluded" so that PyCharm doesn't see multiple copies of the same files:
    • cms/static/xmodule_js
    • lms/static/xmodule_js
    • lms/static/templates
    • test_root/staticfiles
  • You might also want to hide the translations directory as every language matches when you search for a product string:
    • conf/locale

Create a PyCharm remote interpreter (PyCharm v3.4+)

  • Select "Preferences..." from the Apple menu
  • Select "Project Interpreter" under "Project Settings"
  • Click the gear icon in the upper right corner of the dialog box
  • In the drop down that appears, click on "Add Remote"
  • Select the "SSH Credentials" radio button.
  • Specify the following configurations:
  • Host: 127.0.0.1
  • User name: edxapp
  • Auth type: password
  • Password: the password you specified (ensure that "Save Password" is selected)
  • Python interpreter path: /edx/app/edxapp/venvs/edxapp/bin/python
  • The end result should look like this:

PyCharm 3.4+ conf

Create Debug Configuration for LMS

After the PyCharm remote interpreter is configured we are ready to debug devstack.

  • Create a debug configuration for LMS server

    • Open the file 'edx-platform/manage.py' in your devstack folder
    • Right-click on the file and choose "Create 'manage'..." to create a debug configuration
    • Specify the settings for the new configuration:
      • Change the name to something more memorable, e.g. "LMS".
      • Specify "./manage.py" for "Script".
      • Specify "lms runserver --settings=devstack 0.0.0.0:8000" for "Script parameters".
      • Choose the remote interpreter (usually named as "Remote Python 2.7.3 (ssh://edxapp.127.0.0.1:2222/...)").
      • Specify "/edx/app/edxapp/edx-platform" for "Working directory".
      • Click to edit the "Path mappings" property
        • Click the "+" button to add a new mapping
        • Specify the full local path to "edx-platform" for "Local path". This should be the edx-platform directly beneath your devstack folder, e.g. "/Users/[username]/devstack/edx-platform/". Note: be sure to include a trailing slash, and don't use the '~' syntax for your home directory.
        • Specify "/edx/app/edxapp/edx-platform/" for "Remote path".
        • Click "OK" to save the mappings.
      • Deselect "Add content roots to PYTHONPATH".
      • Deselect "Add source roots to PYTHONPATH".
    • Click "OK" to save the new debug configuration.
    • Your LMS server configuration should look something similar to: ![LMS server configuration] (https://1786529bf2dfcc9a4fc2736524bc8aea4a66cc50.googledrive.com/host/0BxQlaq542xl2V182QTM4ZF9kZlU/LMS_server.png)

  • Debug the new "LMS" configuration

    • Choose "Run > Debug..."
    • Specify "LMS" and the Django instance should be started up.
    • Try the following to ensure that you can set breakpoints:
      • Open the file lms/envs/common.py
      • Put a breakpoint on the first line (PLATFORM_NAME = "Your Platform Name Here")
      • Visit http://localhost:8000/ and verify that PyCharm stops at the breakpoint
    • Note on relative paths If you choose to optionally create symlinks, make sure to specify the full paths, otherwise PyCharm will not recognize the source files. This leads to a "Source File Does Not Exist" error when trying to debug.

Create a debug configuration for Studio (CMS)

  • The Studio configuration is very similar to LMS, so we need to clone the LMS configuration and adjust a few parameters.
    • Choose "Run > Edit Configurations..."
    • Select "LMS"
    • Click the "Copy configuration" button (next to the "-" button)
    • Change the name to "Studio"
    • Change the "Script parameters" to cms runserver --settings=devstack 0.0.0.0:8001
    • Click "OK" to save the new configuration

Testing your changes

See the Test Engineering FAQ for all your questions about testing the edX platform.

Debugging edX platform tests in PyCharm

Now with the remote interpreter, we can use PyCharm to debug edX platform tests (Python, JavaScript, Bok Choy, Acceptance). Note: PyCharm tests are invoked using paver but unfortunately this creates child processes that cannot be debugged. For this reason, it is necessary to execute the child process directly.

Create a test configuration for an individual LMS test

  • As before, we need to clone the LMS configuration and adjust a few parameters. In this case, we are going to run test_views.py.
    • Choose "Run > Edit Configurations..."
    • Select "LMS"
    • Click the "Copy configuration" button (next to the "-" button)
    • Change the name to "LMS Tests"
    • Change the "Script parameters" to lms --settings test test lms/djangoapps/courseware/tests/test_views.py
    • Click "OK" to save the new configuration

Setting up Bokchoy Test Configuration (can't catch breakpoints)

![Bokchoy Test Configuration] (https://1786529bf2dfcc9a4fc2736524bc8aea4a66cc50.googledrive.com/host/0BxQlaq542xl2V182QTM4ZF9kZlU/bokchoy_server.png)

  • Go to Run -> Edit Configurations -> Add New Configuration (usually a +sign on the left).
  • Script: /edx/app/edxapp/venvs/edxapp/bin/paver.
  • Script parameters: test_bokchoy or test_bokchoy --fasttest (if you have already compiled the assets).
  • Choose the remote interpreter (usually named as "Remote Python 2.7.3 (ssh://edxapp.127.0.0.1:2222/...)").
  • Working directory: /Users/[username]/devstack/edx-platform
  • Path mappings: /Users/[username]/devstack/edx-platform=/edx/app/edxapp/edx-platform

Setting up Bokchoy Test Configuration for catching break points

The idea is to start up all the services that will listen on various ports and then run tests individually while those services are up. It is useful to install the Multirun tool (you can install it directly within the IDE under preferences / plugin); this way you can have one-click deployment of all of these services.

1. In Preferences/ Project Structure mark ./common/djangoapps/terrain/stubs as a source.

  • Make sure that https://github.com/edx/edx-platform/wiki/Setting-up-PyCharm-for-edX-development#integrate-xquartz-into-pycharm is working and to remember the DISPLAY variable. (in the terminal you can do echo $DISPLAY and make sure that is non-null
  • Configure and start Bokchoy cms server
  • Go to Run -> Edit Configurations -> Add New Configuration (usually a +sign on the left).
  • Change the name to something more memorable, e.g. "CMS Bokchoy server".
  • Script: ./manage.py.
  • Script parameters: cms --settings bok_choy runserver 0.0.0.0:8031 --traceback --noreload (if you have already compiled the assets).
  • Choose the remote interpreter (usually named as "Remote Python 2.7.3 (ssh://edxapp.127.0.0.1:2222/...)").
  • Working directory: /Users/[username]/devstack/edx-platform
  • Path mappings: /Users/[username]/devstack/edx-platform=/edx/app/edxapp/edx-platform
  • Configure and start Bokchoy lms server
  • Clone the previous setting
  • Change the name to something more memorable, e.g. "LMS Bokchoy server".
  • Script: ./manage.py.
  • Script parameters: lms --settings bok_choy runserver 0.0.0.0:8003 --traceback --noreload (if you have already compiled the assets).
  • Configure and start Youtube server
  • Clone the previous setting
  • Change the name to something more memorable, e.g. "Youtube bok choy server".
  • Script: stubs.start
  • Script parameters: youtube 9080 /edx/app/edxapp/edx-platform/test_root/log/bok_choy_youtube.log
  • Interpreter options: -u -m
  • Choose the remote interpreter (usually named as "Remote Python 2.7.3 (ssh://edxapp.127.0.0.1:2222/...)").
  • Working directory: /Users/[username]/devstack/edx-platform
  • Path mappings: /Users/[username]/devstack/edx-platform=/edx/app/edxapp/edx-platform
  • check Add source roots to PYTHONPATH
  • Configure and start Comments server
  • Clone previous configuration
  • Change the name to something more memorable, e.g. "Comments bok choy server".
  • Script: stubs.start
  • Script parameters: comments 4567 /edx/app/edxapp/edx-platform/test_root/log/bok_choy_comments.log
  • Configure and start Ora server
  • Clone previous configuration
  • Change the name to something more memorable, e.g. "Ora bok choy server".
  • Script: stubs.start
  • Script parameters: ora 8041 /edx/app/edxapp/edx-platform/test_root/log/bok_choy_ora.log
  • Configure and start Video server
  • Clone previous configuration
  • Change the name to something more memorable, e.g. "Video bok choy server".
  • Script: stubs.start
  • Script parameters: video 8777 root_dir=/edx/app/edxapp/edx-platform/test_root/data/video /edx/app/edxapp/edx-platform/test_root/log/bok_choy_video_sources.log
  • Configure and start Xqueue server
  • Clone previous configuration
  • Change the name to something more memorable, e.g. "Xqueue bok choy server".
  • Script: stubs.start
  • Script parameters: xqueue 8040 register_submission_url=http://0.0.0.0:8041/test/register_submission /edx/app/edxapp/edx-platform/test_root/log/bok_choy_xqueue.log
  • Configure and debug Bokchoy test run
  • Go to Run -> Edit Configurations -> Add New Configuration (usually a +sign on the left).
  • Change the name to something more memorable, e.g. "Bokchoy test".
  • Script: /edx/app/edxapp/venvs/edxapp/bin/nosetests.
  • Script parameters: /edx/app/edxapp/edx-platform/common/test/acceptance/tests/discussion/test_cohort_management.py:CohortConfigurationTest --with-xunit --xunit-file=/edx/app/edxapp/edx-platform/reports/bok_choy/xunit.xml --verbosity=2
  • Choose the remote interpreter (usually named as "Remote Python 2.7.3 (ssh://edxapp.127.0.0.1:2222/...)").
  • Working directory: /Users/[username]/devstack/edx-platform
  • Path mappings: /Users/[username]/devstack/edx-platform=/edx/app/edxapp/edx-platform
  • Click to edit the "Environment variables" property
  • Set the DISPLAY variable to whatever value you obtained i.e. DISPLAY=localhost:11.0
  • You might have to log out/ log in to the terminal you opened in the first step if Pycharm can't find your display

Create a debug configuration for an edX common unit test

  • Choose "Run > Edit Configurations..."
  • Select the "LMS" configuration.
  • Click the "Copy configuration" button (next to the "-" button).
  • Change the name to "Common Tests".
  • Change the script to /edx/app/edxapp/venvs/edxapp/bin/nosetests
  • Change the "Script parameters" to run the test:
    • e.g. common/lib/xmodule/xmodule/tests/test_resource_templates.py

Create a debug configuration for an edX CMS unit test

  • Choose "Run > Edit Configurations..."
  • Select the "Studio" configuration.
  • Click the "Copy configuration" button (next to the "-" button).
  • Change the name to "Studio Tests".
  • Change the "Script parameters" to run the test:
    • e.g. cms --settings test test cms/djangoapps/contentstore/views/tests/test_helpers.py

Create a debug configuration for an edX acceptance test

  • Choose "Run > Edit Configurations..."
  • Select the "Studio" configuration.
  • Click the "Copy configuration" button (next to the "-" button).
  • Change the name to "Studio Acceptance Tests".
  • Change the "Script parameters" to run the test:
    • e.g. cms --settings acceptance harvest --traceback --debug-mode --verbosity 2 --with-xunit --xunit-file /edx/app/edxapp/edx-platform/reports/acceptance/cms.xml cms/djangoapps/contentstore/features/problem-editor.feature

Visually debug your tests with XQuartz

You can setup your development environment such that you can visually interact with browsers and other GUIs in the vagrant machine from the host machine. To do this, you will need to install XQuartz. For further information, see Test Engineering FAQ.

Integrate XQuartz into PyCharm

The following instructions are for Mac OS X but should work on any Unix-like environment.

  • First, we need to enable XQuartz forwarding for all ssh agents. To do this, open /etc/ssh_config on your host system and uncomment ForwardX11 no and change to ForwardX11 yes.
  • Next open a terminal inside PyCharm (Tools => Open Terminal...") and type ssh [email protected] -p 2222. After logging in as edxapp user, try to open Firefox by typing firefox into the terminal. XQuartz should fire up Firefox immediately. Keep this terminal open, DO NOT close it.
  • Now we need to get the display port number from this terminal by echo $DISPLAY. This depends on the number of existing ssh terminals. If this it the only one, it will be localhost:10.0.
  • Open a debug configuration (such as Bokchoy) and add DISPLAY to the environment variable with the port number from the previous step. The string DISPLAY=localhost:10.0 should be inside the environment variable string. ![Display Port Environmental Variable] (https://1786529bf2dfcc9a4fc2736524bc8aea4a66cc50.googledrive.com/host/0BxQlaq542xl2V182QTM4ZF9kZlU/display_port.png)
  • Now we can start debugging Paver tests with browser windows popping up in XQuartz.
  • Note: the port number (10.0, 11.0, etc, ...) changes dynamically with the number of open ssh clients. Therefore, you have to open and keep the ssh terminal inside Pycharm all the time.
  • If the PyCharm debugger does not attach itself to the thread for some reasons, you can insert the break point manually:
from nose.tools import set_trace
set_trace()
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