This guide describes the development workflow for Amara.
Please follow these guidelines when creating issues, to ensure that they are easy to implement:
- Do a quick search to check for any existing issues before creating a new one.
- Make sure the title clearly and succinctly captures the issue at hand
- For bugs, describe the steps needed to reproduce the problem and what the correct behavior is.
- Try to describe the severity of the issue. Who is it affecting? How bad is the current behavior, etc.
production branch is what gets deployed to our production server.
It’s what gets deployed to production server. The
is deployed just before the production as a test run. It also is used by some
of our partners to test with non-live data. The
dev branch is our main
branch, and is continuously deployed whenever there’s a new commit.
Commits should almost never be made directly to
and only trivial commits should be made to
dev. Instead, Amara development
tries to follow a “one branch per feature or bugfix” workflow (See
As you work on your topic branch, other branches may have been merged into
dev by other people. Make sure you merge
staging back to your branch
as often as possible to keep it up-to-date.
Inside the unisubs repository, you may want to check out some other repositories.
If you have access to our private repository (https://github.com/pculture/amara-enterprise/). Check that out inside the root directory of the unisubs repository to add the extra functionality. See Optional Apps for details on how this works.
We also have a couple other repositories that integrate into unisubs:
Both of these get installed inside your docker container. Normally you don’t need to do anything to use them. However, if you want to test changes to those repositories you need to check out a local copy:
- Check out the git repository inside the root unisubs directory.
- Make a symlink from the root directory to the python package (for example:
ln -s babelsubs-git/babelsubs .)
- After this the unisubs code will be using your local checkout rather than the default package. Make changes there, test them on your dev environment, then commit/push the changes back to a branch on the pculture repository, then open a PR to maste.
- When we deploy amara, we pick up the the latest commit in master for these libraries. So once your changes are merged to master, they will be live the next time we deploy.
At a minimum, make sure you run the tests after your changes and ensure that all tests pass.
If possible, use test driven development. Write new tests that cover the issue you’re working on before you start any code. Write code that makes the test pass. Then consider refactoring code to fix the problem in a cleaner way.
When catching exceptions, be sure to log these with a descriptive message and the stacktrace. Exceptions should be caught whenever it’s necessary for flow control, an exception is expected, or where user input may cause unexpected behavior (such as forms). In the case where a caught exception is an expected part of flow control, such as making an invalid choice in a form, logging isn’t necessary and doesn’t need to be included.
As an example, here is a function that logs exceptions:
def foo(self, a, b): try: self.do_something(a, b) except InvalidChoiceError: self.invalid_choice_count += 1 except ValueError: logger.error("Invalid input type in Class.foo()", exc_info=True) except Exception: logger.error("General exception in foo()", exc_info=True)
We use zenhub for project management. It’s basically a chrome extension that adds a kanban-like board to github. You can get it from https://www.zenhub.com/.
Zenhub adds a pipeline field to github issues. We use this field to track the current status of work on the issue. We use the following pipelines:
Icebox– Issues that have been deprioritized, or are inside an Epic to be scheduled later
Discovery– Issues that need to be triaged further and/or prioritized
Waiting for Design– Issues that need design decisions, mockups, or css before back-end implementation
To Do– Scheduled issues that a developer hasn’t started yet
In Progress– Issues that a developer is currently working on
Testing– Issue that a developer believes to be handled and needs testing to verify the fix
Waiting for Deploy– Issue that has been fixed in the staging branch and we need to deploy the change to production
Here’s the workflow for a typical issue:
- Prep work
- Someone creates a github issue that captures the bug/feature and puts it in the
- The issue is prioritized and scheduled into a sprint
- Developer reviews issue Friday before the sprint begins, adds story points to the issue
- Initial development
- A developer creates topic branches for both the
amara-enterpriserepositories to handle the issue. The branches should be named after its repository and issue number (e.g.
gh-unisubs-5678would be branches for github issue 1234 in the amara-enterprise repo and github issue 5678 in the unisubs repo, respectively). Changes for the issue get commited to these branches.
- Once development on the issue is complete, developer moves the issue to the
Testingpipeline and adds any relevant notes for testing to the issue.
- Tester tests the changes.
- If there are problems, tester notes them on the issue and moves it back to
- Developer fixes the problems, adds a note to the issue, moves it back to
Testing, and we start testing again
- Finally, tester approves the changes, then hands it back to developer to do a pull request
- Developer merges any new code from staging/master back into the topic branches
- Developer creates a pull request for unisubs and/or amara-enterprise depending on which repositories were changed for the issue
- A second developer reviews the code
- If there are issues, the developer #2 adds comments to the PR and works with developer #1 to resolve them
- Once developer #2 thinks the code is ready, they merge the PR
- Once we decide that staging is ready to be deployed to production, we will merge the staging branch to production then deploy andnd moves the issue to the
Waiting for deploypipeline
- Deploy - At some point we will deploy the code. - Usually this happens on a monday. - We first deploy staging, do a check to see if things are okay, then deploy production - Once production is deployed, tester closes all issues in
Waiting for deploy