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37
src/Run.py
37
src/Run.py
@ -24,35 +24,28 @@ app.logger.handlers = logging.getLogger('gunicorn.error').handlers
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datapw = 'dasrtwegdffgtewrt4335wferg'
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def calculate_nutrition(food, weight, portions):
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def calculate_nutrition(food, weight):
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try:
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conn = psycopg2.connect(
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host=os.environ.get('PGHOST', 'localhost'),
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database=os.environ.get('PGDATABASE', 'csafdb'),
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user=os.environ.get('PGUSER', 'user'),
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password=os.environ.get('PGPASSWORD', 'password')
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)
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conn = psycopg2.connect()
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with conn.cursor() as 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 = %s', (food,))
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result = cursor.fetchone()
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if result:
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# Teilen des Gewichts durch die Anzahl der Portionen und Aufrunden
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weight_per_portion = ceil(weight / portions)
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kcal, ew, fett, kh, bst, ca = [value * weight_per_portion / 100 for value in result]
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return {
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"weight_per_portion": weight_per_portion,
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"nutrition_values": {
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"kcal": round(kcal),
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"ew": round(ew, 1),
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"fett": round(fett, 1),
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"kh": round(kh, 1),
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"bst": round(bst, 1),
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"ca": round(ca)
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}
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}
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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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finally:
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