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https://github.com/pennlabs/penn-courses
Powering Penn Course Review, Penn Course Plan, Penn Course Alert, and Penn Degree Plan
https://github.com/pennlabs/penn-courses
celery django django-rest-framework react upenn
Last synced: about 3 hours ago
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Powering Penn Course Review, Penn Course Plan, Penn Course Alert, and Penn Degree Plan
- Host: GitHub
- URL: https://github.com/pennlabs/penn-courses
- Owner: pennlabs
- License: mit
- Created: 2019-04-01T21:07:46.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-04-14T00:06:55.000Z (7 months ago)
- Last Synced: 2024-04-14T01:07:33.370Z (7 months ago)
- Topics: celery, django, django-rest-framework, react, upenn
- Language: Python
- Homepage: https://penncourses.org
- Size: 141 MB
- Stars: 37
- Watchers: 8
- Forks: 5
- Open Issues: 88
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Penn Courses
[](https://codecov.io/gh/pennlabs/penn-courses)
This is the unified home of all [Penn Courses](https://penncourses.org) products.
## Installation & Setup
1. [Install the backend](https://github.com/pennlabs/penn-courses/blob/master/backend/README.md)
2. If you need to, [install the frontend](https://github.com/pennlabs/penn-courses/blob/master/frontend/README.md)
Note that you need the backend to run the frontend.
### Using Dev Containers
This repository has a built-in dev container that you can use to develop the project. To use it, you need to have [Docker](https://www.docker.com/products/docker-desktop) and [VSCode](https://code.visualstudio.com/) installed.
Press the remote container button in the bottom left of the window and select "Reopen in Container". This will build the dev container and open the project in a new window.
This container is designed to work with both backend and frontend development. Some additional steps are required, like installing `pipenv` dependencies and setting up the database and running the frontend server. Please read and follow the instructions in the backend and frontend READMEs.
For more information, visit dev container [documentation](https://code.visualstudio.com/docs/remote/containers).
#### Pushing Code
You can use `ssh-add` to make your SSH keys available to the dev container. This will allow you to push code to GitHub.
```
ssh-add ~/.ssh/id_rsa
```
## API Documentation
API Docs can be found at `/api/documentation` on the back-end server. Also check out the code for more explanations
and documentation! We've tried to keep it up-to-date.
## Runbook
This section is to collect thoughts/learnings from the codebase that have been hard-won, so we don't lose a record of it
if and when the information proves useful again
### Derived fields
Normally, derived fields on models are represented as `@property`-decorated functions. However, there are a few in
the codebase that need to be accessed on the database layer without `JOIN`s. So that they can be indexed.
Specifically, these are the `full_code` fields on `Course` and `Section` models, which are derived from fields on related
models.
These are updated every time the `save()` method is called. However, it's possible to get into a state
(such as with db migrations) where `full_code` isn't set properly.
Open a shell in production, and run this small script:
```python
from tqdm import tqdm
from courses.models import Section, Course
for c in tqdm(Course.objects.all().select_related("department")):
c.save()
for s in tqdm(Section.objects.all().select_related("course")):
s.save()
```
`tqdm` will give you a nice progress bar as the script completes. The `select_related` clause speeds up the query,
avoiding what would be a pretty nasty N+1 scenario.