File size: 7,088 Bytes
2ae3f7c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 |
import sqlite3
import json
from datetime import datetime, timedelta
from typing import List, Optional, Dict
import pandas as pd
class Database:
def __init__(self, db_path: str = "data/indiscan.db"):
self.db_path = db_path
self.init_db()
def init_db(self):
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
# Create products table
c.execute('''
CREATE TABLE IF NOT EXISTS products (
id INTEGER PRIMARY KEY AUTOINCREMENT,
barcode TEXT UNIQUE,
name TEXT,
brand TEXT,
category TEXT,
ingredients TEXT,
nutrition_info TEXT,
health_score INTEGER,
last_updated TIMESTAMP,
image_url TEXT,
product_type TEXT,
added_by TEXT,
is_verified BOOLEAN DEFAULT 0
)
''')
# Create ingredients table
c.execute('''
CREATE TABLE IF NOT EXISTS ingredients (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT UNIQUE,
risk_score INTEGER,
description TEXT,
category TEXT,
concerns TEXT
)
''')
# Create users table for admin control
c.execute('''
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY AUTOINCREMENT,
username TEXT UNIQUE,
password_hash TEXT,
is_admin BOOLEAN DEFAULT 0
)
''')
# Create price tracking table
c.execute('''
CREATE TABLE IF NOT EXISTS price_tracking (
id INTEGER PRIMARY KEY AUTOINCREMENT,
product_id INTEGER,
platform TEXT,
price REAL,
timestamp TIMESTAMP,
url TEXT,
FOREIGN KEY (product_id) REFERENCES products (id)
)
''')
conn.commit()
conn.close()
def add_product(self, product_data: Dict) -> int:
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
product_data['last_updated'] = datetime.now().isoformat()
if 'ingredients' in product_data and isinstance(product_data['ingredients'], list):
product_data['ingredients'] = json.dumps(product_data['ingredients'])
if 'nutrition_info' in product_data and isinstance(product_data['nutrition_info'], dict):
product_data['nutrition_info'] = json.dumps(product_data['nutrition_info'])
columns = ', '.join(product_data.keys())
placeholders = ', '.join(['?' for _ in product_data])
values = tuple(product_data.values())
try:
c.execute(f"INSERT INTO products ({columns}) VALUES ({placeholders})", values)
product_id = c.lastrowid
conn.commit()
return product_id
except sqlite3.IntegrityError:
# Update existing product
update_cols = ', '.join([f"{k}=?" for k in product_data.keys()])
c.execute(f"UPDATE products SET {update_cols} WHERE barcode=?",
(*values, product_data['barcode']))
conn.commit()
return c.lastrowid
finally:
conn.close()
def get_product(self, barcode: str) -> Optional[Dict]:
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
c.execute("SELECT * FROM products WHERE barcode=?", (barcode,))
result = c.fetchone()
if result:
columns = [description[0] for description in c.description]
product = dict(zip(columns, result))
# Parse JSON strings back to Python objects
if product['ingredients']:
product['ingredients'] = json.loads(product['ingredients'])
if product['nutrition_info']:
product['nutrition_info'] = json.loads(product['nutrition_info'])
conn.close()
return product
conn.close()
return None
def update_prices(self, product_id: int, prices: List[Dict]):
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
timestamp = datetime.now().isoformat()
for price_data in prices:
c.execute("""
INSERT INTO price_tracking (product_id, platform, price, timestamp, url)
VALUES (?, ?, ?, ?, ?)
""", (product_id, price_data['platform'], price_data['price'], timestamp, price_data['url']))
conn.commit()
conn.close()
def get_products_for_update(self) -> List[str]:
"""Get products that haven't been updated in 60 days"""
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
sixty_days_ago = (datetime.now() - timedelta(days=60)).isoformat()
c.execute("""
SELECT barcode FROM products
WHERE last_updated < ? OR last_updated IS NULL
""", (sixty_days_ago,))
barcodes = [row[0] for row in c.fetchall()]
conn.close()
return barcodes
def export_to_csv(self, filepath: str):
"""Export the database to CSV files"""
conn = sqlite3.connect(self.db_path)
# Export products
pd.read_sql_query("SELECT * FROM products", conn).to_csv(f"{filepath}/products.csv", index=False)
# Export ingredients
pd.read_sql_query("SELECT * FROM ingredients", conn).to_csv(f"{filepath}/ingredients.csv", index=False)
# Export price tracking
pd.read_sql_query("SELECT * FROM price_tracking", conn).to_csv(f"{filepath}/price_tracking.csv", index=False)
conn.close()
def import_from_csv(self, filepath: str):
"""Import data from CSV files"""
conn = sqlite3.connect(self.db_path)
# Import products
products_df = pd.read_csv(f"{filepath}/products.csv")
products_df.to_sql('products', conn, if_exists='append', index=False)
# Import ingredients
ingredients_df = pd.read_csv(f"{filepath}/ingredients.csv")
ingredients_df.to_sql('ingredients', conn, if_exists='append', index=False)
# Import price tracking
price_df = pd.read_csv(f"{filepath}/price_tracking.csv")
price_df.to_sql('price_tracking', conn, if_exists='append', index=False)
conn.commit()
conn.close()
def verify_admin(self, username: str, password_hash: str) -> bool:
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
c.execute("SELECT is_admin FROM users WHERE username=? AND password_hash=?",
(username, password_hash))
result = c.fetchone()
conn.close()
return bool(result and result[0]) |