Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -207,16 +207,61 @@ elif menu == "Current":
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# Define item prices
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item_prices = {
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}
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# Define combined prices for special combinations
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combo_prices = {
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"desayuno + café (aceite)": 1.85,
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"desayuno + café (tomate)": 2.50
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}
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# Use session state to persist ticket generation status
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@@ -228,40 +273,54 @@ elif menu == "Current":
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ticket = []
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# Iterate over each user's selections
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for _, row in current_df.iterrows():
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drinks
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# Create a DataFrame to display the ticket
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ticket_df = pd.DataFrame(ticket)
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# Define item prices
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item_prices = {
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"Cafés": {
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"Café con leche": 1.20,
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"Descafeinado con leche": 1.20,
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"Cortado": 1.20,
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"Aguasusia": 1.20,
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"Aguasusia susia": 1.20,
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"Descafeinado con leche desnatada": 1.20,
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"Italiano": 1.20,
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"Café con soja": 1.20,
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"Café sin lactosa": 1.20,
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},
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"Infusiones": {
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"Té": 0.90,
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"Manzanilla": 0.90,
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},
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"Colacaos": {
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"Colacao": 1.50,
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},
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"Comidas": {
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"Barrita con aceite": 0.65,
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"Barrita con tomate": 1.30,
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"Palmera de chocolate": 1.50,
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"Palmera de chocolate blanco": 1.50,
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"Yogurt": 1.00,
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"Pincho de tortilla": 1.50
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}
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"Nada": 0.00,
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}
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# # Define item prices
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# item_prices = {
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# "Café con leche": 1.20,
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# "Colacao": 1.50,
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# "Café Descafeinado con leche": 1.20,
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# "Cortado": 1.20,
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# "Café Aguasusia": 1.20,
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# "Café Aguasusia susia": 1.20,
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# "Café descafeinado con leche desnatada": 1.20,
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# "Café Italiano": 1.20,
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# "Café con soja": 1.20,
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# "Té": 0.90,
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# "Manzanilla": 0.90,
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# "Nada": 0.00,
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# "Barrita con aceite": 0.65,
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# "Barrita con tomate": 1.30,
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# "Palmera de chocolate": 1.50,
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# "Palmera de chocolate blanco": 1.50,
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# "Yogurt": 1.00,
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# "Pincho de tortilla": 1.50
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# }
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# Define combined prices for special combinations
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combo_prices = {
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"desayuno + café (aceite)": 1.85,
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"desayuno + café (tomate)": 2.50,
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"desayuno + café (napolitana)": 1.85,
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}
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# Use session state to persist ticket generation status
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ticket = []
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# Iterate over each user's selections
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drinks = []
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foods = []
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for _, row in current_df.iterrows():
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drinks.append(row['Drinks'])
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foods.append(row['Food'])
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# Convert every type of "café" to just "café"
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drinks = ["Café" for x in drinks if x in item_prices["Cafés"].keys() else x]
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# Display selections
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st.write(f"Drinks: {drinks}")
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st.write(f"Foods: {foods}")
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# drinks = row['Drinks'].split(", ") if isinstance(row['Drinks'], str) else []
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# food = row['Food'].split(", ") if isinstance(row['Food'], str) else []
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# used_drinks = set()
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# used_food = set()
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# # Handle combinations of café + barrita con aceite
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# for drink in drinks:
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# if "café" in drink.lower() and "Barrita con aceite" in food:
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# ticket.append({"Item": "desayuno + café (aceite)", "Price": combo_prices["desayuno + café (aceite)"]})
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# used_drinks.add(drink)
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# used_food.add("Barrita con aceite")
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# break
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# # Handle combinations of café + barrita con tomate
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# for drink in drinks:
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# if "café" in drink.lower() and "Barrita con tomate" in food and drink not in used_drinks:
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# ticket.append({"Item": "desayuno + café (tomate)", "Price": combo_prices["desayuno + café (tomate)"]})
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# used_drinks.add(drink)
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# used_food.add("Barrita con tomate")
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# break
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# # Add remaining individual drinks not used in combinations
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# for drink in drinks:
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# if drink not in used_drinks and drink in item_prices:
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# ticket.append({"Item": drink, "Price": item_prices[drink]})
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# used_drinks.add(drink)
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# # Add remaining individual food not used in combinations
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# for f in food:
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# if f not in used_food and f in item_prices:
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# ticket.append({"Item": f, "Price": item_prices[f]})
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# used_food.add(f)
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# Create a DataFrame to display the ticket
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ticket_df = pd.DataFrame(ticket)
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