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model.py
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model.py
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"""Models and database functions for Ratings project."""
from flask_sqlalchemy import SQLAlchemy
import correlation
# This is the connection to the PostgreSQL database; we're getting this through
# the Flask-SQLAlchemy helper library. On this, we can find the `session`
# object, where we do most of our interactions (like committing, etc.)
db = SQLAlchemy()
##############################################################################
# Model definitions
class User(db.Model):
"""User of ratings website."""
__tablename__ = "users"
user_id = db.Column(db.Integer, autoincrement=True, primary_key=True)
email = db.Column(db.String(64), unique=True, nullable=True)
password = db.Column(db.String(64), nullable=True)
age = db.Column(db.Integer, nullable=True)
zipcode = db.Column(db.String(15), nullable=True)
def __repr__(self):
return "<User user_id=%s email=%s>" % (self.user_id, self.email)
def similarity(self, other):
"""Return Pearson rating for user compared to other user."""
u_ratings = {}
paired_ratings = []
for r in self.ratings:
u_ratings[r.movie_id] = r
for r in other.ratings:
u_r = u_ratings.get(r.movie_id)
if u_r:
paired_ratings.append( (u_r.score, r.score) )
if paired_ratings:
return correlation.pearson(paired_ratings)
def predict_rating(self, movie):
"""Predict user's rating of a movie."""
other_ratings = movie.ratings
similarities = [
(self.similarity(r.user), r)
for r in other_ratings
]
similarities.sort(reverse=True)
similarities = [(sim, r) for sim, r in similarities
if sim > 0]
if not similarities:
return None
numerator = sum([r.score * sim for sim, r in similarities])
denominator = sum([sim for sim, r in similarities])
return numerator/denominator
class Rating(db.Model):
"""Rating from users for movies"""
__tablename__ = "ratings"
rating_id = db.Column(db.Integer, autoincrement=True, primary_key=True)
movie_id = db.Column(db.Integer, db.ForeignKey('movies.movie_id'), nullable=False)
user_id = db.Column(db.Integer, db.ForeignKey('users.user_id'), nullable=False)
score = db.Column(db.Integer, nullable=False)
#Define relationship to user
user = db.relationship('User',
backref=db.backref('ratings',
order_by=rating_id))
#Define relationship to movie
movie = db.relationship('Movie',
backref=db.backref('ratings',
order_by=rating_id))
def __repr__(self):
s = "<Rating rating_id=%s movie_id=%s user_id=%s score=%s>"
return s % (self.rating_id, self.movie_id, self.user_id, self.score)
class Movie(db.Model):
"""Movie in ratings website"""
__tablename__ = "movies"
movie_id = db.Column(db.Integer, autoincrement=True, primary_key=True)
title = db.Column(db.String(200), nullable=False)
released_at = db.Column(db.DateTime, nullable=True)
imdb_url = db.Column(db.String(200), nullable=True)
##############################################################################
# Helper functions
def connect_to_db(app):
"""Connect the database to our Flask app."""
# Configure to use our PstgreSQL database
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql:///ratings'
db.app = app
db.init_app(app)
if __name__ == "__main__":
# As a convenience, if we run this module interactively, it will leave
# you in a state of being able to work with the database directly.
from server import app
connect_to_db(app)
print "Connected to DB."