65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
from database.database import Database
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from typing import Optional, List, Tuple
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def user_recommendation_category(user_id: int) -> Optional[int]:
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"""
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Queries user_preferences database to find users favourite streaming category and returns the category
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"""
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db = Database()
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cursor = db.create_connection()
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data = cursor.execute(
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"SELECT category_id FROM user_preferences WHERE user_id = ? ORDER BY favourability DESC LIMIT 1", (user_id,)).fetchone()
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return data[0]
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def followed_categories_recommendations(user_id: int):
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"""
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Returns top 25 streams given a users category following
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"""
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db = Database()
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db.create_connection()
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categories = db.fetchall("""
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SELECT users.user_id, title, username, num_viewers, category_name
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FROM streams
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WHERE category_id IN (SELECT category_id FROM categories WHERE user_id = ?)
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ORDER BY num_viewers DESC
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LIMIT 25; """, (user_id,))
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return categories
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def recommendations_based_on_category(category_id: int) -> Optional[List[Tuple[int, str, int]]]:
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"""
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Queries stream database to get top 25 most viewed streams based on given category and returns
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(user_id, title, username, num_viewers, category_name)
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"""
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db = Database()
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db.create_connection()
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data = db.fetchall("""
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SELECT users.user_id, title, username, num_viewers, category_name
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FROM streams
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JOIN users ON users.user_id = streams.user_id
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JOIN categories ON streams.category_id = categories.category_id
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WHERE categories.category_id = ?
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ORDER BY num_viewers DESC
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LIMIT 25""", (category_id,))
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return data
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def default_recommendations():
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"""
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Return a list of 25 recommended live streams by number of viewers
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(user_id, title, username, num_viewers, category_name)
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"""
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db = Database()
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db.create_connection()
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data = db.fetchall("""
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SELECT users.user_id, title, username, num_viewers, category_name
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FROM streams
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JOIN users ON users.user_id = streams.user_id
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JOIN categories ON streams.category_id = categories.category_id
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ORDER BY num_viewers DESC
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LIMIT 25
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""")
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return data
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