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Summer of Algorithms

prod master

PyJaipur "Summer of Algorithms" is a month-ish long program conducted during the summer months of May-June.

The aim is to have a place where people can go and learn new skills or practice existing skills and have a certificate to show for it.

Local setup

  1. Make sure you have docker running on your machine.
  2. Make sure you have docker compose running on your machine.
  3. Fork this repo and follow the steps below
git clone https://github.com/<myfork>/SoA
cd SoA
docker-compose up
docker-compose down  # to shut down server

If docker compose is not for you, you can go hardcore and install everything manually.

git clone https://github.com/<myfork>/SoA
cd SoA
poetry install # Install dependencies
poetry shell   # Activate virtualenv
ln -s local/default/Makefile .  # Symlink
ln -s local/default/env ./env  # Symlink
make services  # Start postgres + redis servers locally
make web       # Start webserver on port 8000

Now you can go to http://localhost:8000 on your browser and see the development server running.

If you need to make changes to the Makefile and env file, please create a folder in local and put your files there. You can then symlink to those files instead of the default files.

Codebase layout

This is the basic filetree for the project. Please refer to the actual filetree if this one is out of date.

├──bottle.py            # Bottle web framework to avoid pip hash issues.
├──Makefile             # Common commands and their shortcuts
├──poetry.lock
├──Procfile             # Command to run web server on heroku
├──pyproject.toml       # Project dependencies
├──README.md
├──requirements.txt     # Heroku only accepts requirements.txt. Generated using poetry export.
├──runtime.txt          # python version running on heroku
├──soa
│  ├──__init__.py
│  ├──__main__.py       # Main CLI interface `python -m soa` executes this file.
│  ├──housekeeping.py   # Code to run one time housekeeping jobs.
│  ├──mailer.py         # Handle email sending + keeps email templates.
│  ├──models.py         # Database models and functions associated with them.
│  ├──plugins.py        # Common operations performed on all web routes
│  ├──server.py         # Main server file.
│  ├──settings.py       # Contains constants which we use in the application
│  └──tracks
│     ├──__init__.py    # Used to register tracks.
│     ├──core.py        # Core functions for track management
│     ├──dsa
│     │  ├──1.md        # Each numbered Markdown file is a task in this track.
│     │  └──__init__.py # Contains track meta info
│     └──python
│        ├──1.md
│        └──__init__.py
└──views                # This folder contains html templates
   ├──account.html
   ├──alert.html
   ├──base.html
   ├──certificate.html
   ├──crumbs.html
   ├──login.html
   ├──meta.html
   ├──task.html
   └──tracks.html

If you want to

  • Add a new track
    • See soa.tracks.python for an example of how to set up a track.
    • We assume the track is called 'mytrack' and has 2 tasks in it.
    • Go to soa/tracks and create a folder 'mytrack'
    • Create a file soa/tracks/mytrack/__init__.py with contents about your track.
    • Create a file soa/tracks/mytrack/1.md and put the contents of your first task there.
    • Create a file soa/tracks/mytrack/2.md and put the contents of your second task there.
    • You can add forms in the task markdown files to accept user answers and mark them as done. For example:
      ## Adding numbers
      
      Python lets you do mathematics. For example 1+1, and 2+2.
      
      How would you add 3 and 4?
      <form method='POST'>
        <input name='answer'>
        <input type='submit' value='Submit'>
      </form>
    • The function to verify form answers is assigned to MyTrack.tasks_meta[<taskslug>]['check']['answer'].
    • Once you are done, run python -m soa --test-tracks to make sure that your changes are ok. If something fails, your markdown is probably faulty.
  • Add permissions to a user
  • Run any housekeeping function
    • Any function defined inside the soa.housekeeping:handle function can be called from the command line.
    • python -m soa --housekeeping <fn_name>