Setup

1. Create a new virtualenv

2. Install the dependencies:

   $ pip install -r requirements.txt

3. Export the environment variables of the project:

   $ export FLASK_APP=movie_recommendations/__init__.py
   $ export FLASK_DEBUG=1
   

Generating the Database

1. Initialize the database: $ flask init_db
2. Fill it with mock data: $ flask generate_user_network
3. (optional) Fill it with a dataset info:
   1. Download the dataset from: https://www.kaggle.com/deepmatrix/imdb-5000-movie-dataset
   2. Import it using: $ flask import_movie_dataset data/imdb-5000-movie-dataset.zip

Running the server (development)

Use any of the following:

• (venv)$ flask run
• (venv)$ python run.py

Running the server (production)

(venv)$ gunicorn -w 4 -b 127.0.0.1:5000 movie_recommendations:app