159 lines
4.2 KiB
Python
159 lines
4.2 KiB
Python
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from flask import Flask, request, render_template, jsonify, redirect, url_for
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import psycopg2
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import sqlite3
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app = Flask(__name__)
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# Datenbankverbindung konfigurieren
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def get_db_connection():
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conn = sqlite3.connect('nutrition.db') # 'nutrition.db' ist der Name der Datenbankdatei
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conn.row_factory = sqlite3.Row # Ermöglicht den Zugriff auf Daten durch Spaltennamen
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return conn
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def init_db():
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conn = get_db_connection()
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cursor = conn.cursor()
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# Erstellen der Tabelle
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS nutrition_table (
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id INTEGER PRIMARY KEY,
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name TEXT NOT NULL,
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kcal REAL,
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EW REAL,
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Fett REAL,
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KH REAL,
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BST REAL,
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CA REAL
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)
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''')
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# Testdaten einfügen
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test_data = [
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('Apfel', 52, 0.3, 0.2, 14, 0.2, 6),
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('Banane', 89, 1.1, 0.3, 23, 0.3, 5),
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('Karotte', 41, 0.9, 0.2, 10, 0.2, 3),
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('Tomate', 18, 0.9, 0.2, 3.9, 0.2, 4),
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('Brokkoli', 34, 2.8, 0.4, 6.6, 0.4, 2),
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('Spinat', 23, 2.9, 0.4, 3.6, 0.4, 99),
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('Kartoffel', 77, 2, 0.1, 17, 0.1, 12),
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('Huhn', 239, 27, 14, 0, 0, 2),
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('Lachs', 208, 20, 13, 0, 0, 1),
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('Ei', 155, 13, 11, 1.1, 1, 1)
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]
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cursor.executemany('INSERT INTO nutrition_table (name, kcal, EW, Fett, KH, BST, CA) VALUES (?, ?, ?, ?, ?, ?, ?)', test_data)
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conn.commit()
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conn.close()
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def calculate_nutrition(food, weight):
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conn = get_db_connection()
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cursor = conn.cursor()
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# Abfrage der Nährwertdaten aus der Datenbank
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cursor.execute('SELECT kcal, EW, Fett, KH, BST, CA FROM nutrition_table WHERE name = ?', (food,))
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result = cursor.fetchone()
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conn.close()
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if result:
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# Runden und Berechnen der Nährwerte basierend auf dem Gewicht
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kcal, ew, fett, kh, bst, ca = result
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nutrition_values = [
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round(kcal * weight / 100), # kcal gerundet auf ganze Zahl
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round(ew * weight / 100, 1), # EW gerundet auf eine Dezimalstelle
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round(fett * weight / 100, 1), # Fett gerundet auf eine Dezimalstelle
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round(kh * weight / 100, 1), # KH gerundet auf eine Dezimalstelle
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round(bst * weight / 100, 1), # BST gerundet auf eine Dezimalstelle
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round(ca * weight / 100) # CA gerundet auf ganze Zahl
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]
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return nutrition_values
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else:
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return None
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# Index-Route
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@app.route('/')
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def index():
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return render_template('index.html')
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# ...
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@app.route('/get_products')
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def get_products():
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conn = get_db_connection()
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cursor = conn.cursor()
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cursor.execute('SELECT name FROM nutrition_table')
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products = cursor.fetchall()
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conn.close()
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print("ter")
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return {'products': [product[0] for product in products]}
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# ...
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# Route zum Hinzufügen und Berechnen von Lebensmitteln
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@app.route('/add_lm', methods=['GET'])
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def add_lm():
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food = request.args.get('food')
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weight = float(request.args.get('weight'))
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nutrition = calculate_nutrition(food, weight)
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if nutrition:
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# Extrahieren der einzelnen Nährwerte
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kcal, ew, fett, kh, bst, ca = nutrition
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return jsonify({
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"food": food,
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"kcal": kcal,
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"ew": ew,
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"fett": fett,
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"kh": kh,
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"bst": bst,
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"ca": ca
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})
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else:
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return "Lebensmittel nicht gefunden.", 404
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@app.route('/add_nutrition', methods=['POST'])
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def add_nutrition():
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food = request.form.get('food')
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kcal = request.form.get('kcal')
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ew = request.form.get('ew')
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fett = request.form.get('fett')
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kh = request.form.get('kh')
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bst = request.form.get('bst')
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ca = request.form.get('ca')
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print("test")
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# Verbindung zur Datenbank herstellen und Daten einfügen
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conn = get_db_connection()
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cursor = conn.cursor()
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cursor.execute("INSERT INTO nutrition_table (name, kcal, ew, fett, kh, bst, ca) VALUES (?, ?, ?, ?, ?, ?, ?)",
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(food, kcal, ew, fett, kh, bst, ca))
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conn.commit()
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conn.close()
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return redirect(url_for('nutrition'))
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@app.route('/nutrition')
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def nutrition():
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return render_template('nutrition.html')
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if __name__ == '__main__':
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#init_db()
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app.run(debug=True)
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