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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
from correlation import pearson
# 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), 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):
"""provide helpful things when printed."""
return "<User user_id ={} email={}>".format(self.user_id, self.email)
def feed_pairs_to_pearson(self, user_2):
paired_ratings = []
user_rating_dict = {}
for rating in self.rating:
user_rating_dict[rating.movie_id] = rating
for rating in user_2.rating:
if rating.movie_id in user_rating_dict:
paired_ratings.append((rating.score, user_rating_dict[rating.movie_id].score))
if paired_ratings:
return pearson(paired_ratings)
else:
return 0.0
def __lt__(self, other):
"""Less-than comparison."""
return self.user_id < other.user_id
def predict_rating(self, movie):
"""Predict user's rating of a movie."""
other_ratings = movie.rating
similarities = [
(self.feed_pairs_to_pearson(r.user), r)
for r in other_ratings
if self.feed_pairs_to_pearson(r.user) > 0
]
if not similarities:
return None
similarities.sort(reverse=True)
numerator = 0
denominator = 0
for similarity, rating in similarities:
numerator += (rating.score * similarity)
denominator += similarity
return numerator // denominator
rating = db.relationship('Rating')
# Put your Movie and Rating model classes here.
class Movie(db.Model):
"""Movie of ratings website."""
__tablename__ = 'movies'
movie_id = db.Column(db.Integer, autoincrement=True, primary_key=True)
title = db.Column(db.String(100), nullable=True)
released_at = db.Column(db.DateTime, nullable=True)
imbd_url = db.Column(db.String(200), nullable=True)
rating = db.relationship('Rating',
backref = db.backref("movies",
order_by=movie_id))
class Rating(db.Model):
"""Ratings"""
__tablename__ = 'ratings'
rating_id = db.Column(db.Integer, autoincrement=True, primary_key=True)
movie_id = db.Column(db.Integer, db.ForeignKey('movies.movie_id'))
user_id = db.Column(db.Integer, db.ForeignKey('users.user_id'))
score = db.Column(db.Integer, nullable=True)
user = db.relationship("User",
backref = db.backref("ratings",
order_by=rating_id))
movie = db.relationship("Movie",
backref = db.backref("ratings",
order_by=rating_id))
def update_rating(self, new_rating):
self.score = new_rating
def __lt__(self, other):
"""Less-than comparison."""
return self.rating_id < other.rating_id
##############################################################################
# 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'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
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)
# db.create_all()
print("Connected to DB.")