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Add Docstring/Implement error handling/Safer query
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import sqlite3
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import sqlite3
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import os.path
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import os.path
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# Static path
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current_dir = os.path.dirname(os.path.abspath(__file__))
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current_dir = os.path.dirname(os.path.abspath(__file__))
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db_path = (current_dir + r"\data\food_data.db")
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db_path = (current_dir + r"\data\food_data.db")
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class FoodSearch:
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class FoodSearch:
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"""
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A class for searching food data in a SQLite database.
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Methods:
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search(user_input): Search for food data based on user input.
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Usage:
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food_search = FoodSearch()
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results = food_search.search("apple")
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"""
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def __init__(self):
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def __init__(self):
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self.status = os.path.exists(db_path)
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if not os.path.exists(db_path):
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if self.status:
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raise FileNotFoundError("Database file not found.")
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self.conn = sqlite3.connect(db_path)
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else:
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self.db_path = db_path
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raise FileNotFoundError
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self.cursor = self.conn.cursor()
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def search(self, user_input) -> list:
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def search(self, user_input) -> list:
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query = f"SELECT * FROM food_data WHERE product_name LIKE '%{user_input}%'"
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"""
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self.cursor.execute(query)
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Search for food data based on the user's input.
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results = self.cursor.fetchall()
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Parameters:
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return results
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user_input (str): The input provided by the user to search for food data.
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Returns:
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list: A list of tuples representing the search results from the database.
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Raises:
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sqlite3.Error: If there is an error in executing the database query.
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"""
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try:
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with sqlite3.connect(self.db_path) as conn:
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cursor = conn.cursor()
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query = "SELECT * FROM food_data WHERE product_name LIKE ?"
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cursor.execute(query, (f"%{user_input}%",))
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results = cursor.fetchall()
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return results
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except sqlite3.Error as e:
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print(f"Database error: {e}")
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return []
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