Update app.py

app.py

@@ -196,7 +196,29 @@ elif menu == "History":
     else:
         st.write("No history records found.")
 
-# "Current" view to display the current summary of all users' selections and submit to history
+# # "Current" view to display the current summary of all users' selections and submit to history
+# elif menu == "Current":
+#     st.title("Current Selections of All Users")
+#     if st.button("Reload Selections"):
+#         download_temp_file_from_repo()
+#     current_df = load_current_selections()
+#     st.table(current_df)
+
+#     if st.button("Submit Summary to History"):
+#         timestamp = save_summary_to_history()
+#         st.success(f"Summary saved to history at {timestamp}")
+#         st.session_state.history = load_history()
+        
+#         # Clear local and remote current selections
+#         if os.path.exists(TEMP_FILE):
+#             os.remove(TEMP_FILE)
+#             delete_file_from_repo(TEMP_FILE)  # Delete the file from the remote repo
+
+#             # Create an empty CSV to replace the deleted one
+#             pd.DataFrame(columns=["Name", "Drinks", "Food"]).to_csv(TEMP_FILE, index=False)
+#             upload_temp_file_to_repo()
+
+# "Current" view to display the current summary of all users' selections and generate ticket
 elif menu == "Current":
     st.title("Current Selections of All Users")
     if st.button("Reload Selections"):
@@ -204,21 +226,70 @@ elif menu == "Current":
     current_df = load_current_selections()
     st.table(current_df)
 
-    if st.button("Submit Summary to History"):
-        timestamp = save_summary_to_history()
-        st.success(f"Summary saved to history at {timestamp}")
-        st.session_state.history = load_history()
-        
-        # Clear local and remote current selections
-        if os.path.exists(TEMP_FILE):
-            os.remove(TEMP_FILE)
-            delete_file_from_repo(TEMP_FILE)  # Delete the file from the remote repo
-
-            # Create an empty CSV to replace the deleted one
-            pd.DataFrame(columns=["Name", "Drinks", "Food"]).to_csv(TEMP_FILE, index=False)
-            upload_temp_file_to_repo()
-
-        # st.experimental_set_query_params(step="reset")
+    # Define item prices
+    item_prices = {
+        "Café con leche": 1.20, "Colacao": 1.00, "Descafeinado con leche": 1.20, "Cortado": 1.20, 
+        "Aguasusia": 1.20, "Aguasusia susia": 1.20, "Café descafeinado con leche desnatada": 1.20, 
+        "Italiano": 1.20, "Café con soja": 1.20, "Té": 1.00, "Manzanilla": 1.00, "Nada": 0.00,
+        "Barrita con aceite": 1.00, "Barrita con tomate": 1.00, "Palmera de chocolate": 1.00, 
+        "Palmera de chocolate blanco": 1.00, "Yogurt": 1.00, "Pincho de tortilla": 1.00
+    }
+    # Define combined prices for special combinations
+    combo_prices = {
+        "desayuno + café (aceite)": 1.85,
+        "desayuno + café (tomate)": 2.50
+    }
+
+    # Generate Ticket
+    if st.button("Generate Ticket"):
+        # Create a list to hold the ticket items
+        ticket = []
+
+        # Iterate over each user's selections
+        for _, row in current_df.iterrows():
+            drinks = row['Drinks'].split(", ") if isinstance(row['Drinks'], str) else []
+            food = row['Food'].split(", ") if isinstance(row['Food'], str) else []
+
+            # Track which items have been used in combinations
+            used_drinks = set()
+            used_food = set()
+
+            # Handle combinations of café + barrita con aceite
+            for drink in drinks:
+                if "café" in drink.lower() and "Barrita con aceite" in food:
+                    ticket.append({"Item": "desayuno + café (aceite)", "Price": combo_prices["desayuno + café (aceite)"]})
+                    used_drinks.add(drink)
+                    used_food.add("Barrita con aceite")
+                    break  # Only one combo per user for this
+
+            # Handle combinations of café + barrita con tomate
+            for drink in drinks:
+                if "café" in drink.lower() and "Barrita con tomate" in food and drink not in used_drinks:
+                    ticket.append({"Item": "desayuno + café (tomate)", "Price": combo_prices["desayuno + café (tomate)"]})
+                    used_drinks.add(drink)
+                    used_food.add("Barrita con tomate")
+                    break  # Only one combo per user for this
+
+            # Add remaining individual drinks not used in combinations
+            for drink in drinks:
+                if drink not in used_drinks and drink in item_prices:
+                    ticket.append({"Item": drink, "Price": item_prices[drink]})
+                    used_drinks.add(drink)
+
+            # Add remaining individual food not used in combinations
+            for f in food:
+                if f not in used_food and f in item_prices:
+                    ticket.append({"Item": f, "Price": item_prices[f]})
+                    used_food.add(f)
+
+        # Create a DataFrame to display the ticket
+        ticket_df = pd.DataFrame(ticket)
+        st.subheader("Generated Ticket")
+        st.table(ticket_df)
+
+        # Calculate and display the total price
+        total_price = ticket_df["Price"].sum()
+        st.write(f"**Total Price:** {total_price:.2f} €")
 
 # History view to check past summaries
 elif menu == "History":
@@ -236,76 +307,6 @@ elif menu == "History":
     else:
         st.write("No history records found.")
 
-# # Graph view to display a line chart of item selections over time
-# elif menu == "Graph":
-#     st.title("Breakfast Poll History - Graph View")
-
-#     # Load the history if not already loaded
-#     if not st.session_state.history:
-#         st.session_state.history = load_history()
-
-#     # Prepare data for plotting
-#     if st.session_state.history:
-#         history_data = []
-#         for record in st.session_state.history:
-#             # Extract only the date part (YYYY-MM-DD) for display
-#             date = record['Date']
-#             for index, row in record['Summary'].iterrows():
-#                 for drink in row['Drinks'].split(', '):
-#                     history_data.append({'Date': date, 'Item': drink, 'Type': 'Drink'})
-#                 for food in row['Food'].split(', '):
-#                     history_data.append({'Date': date, 'Item': food, 'Type': 'Food'})
-
-#         # Create a DataFrame from history data
-#         history_df = pd.DataFrame(history_data)
-        
-#         # Count occurrences of each item per date
-#         item_counts = history_df.groupby(['Date', 'Item', 'Type']).size().reset_index(name='Count')
-
-#         # Separate items into Drinks and Food, and sort them alphabetically
-#         drinks = sorted(item_counts[item_counts['Type'] == 'Drink']['Item'].unique())
-#         foods = sorted(item_counts[item_counts['Type'] == 'Food']['Item'].unique())
-
-#         # Create a dictionary to store the checkbox values for each item
-#         item_visibility = {}
-
-#         # Create interactive checkboxes for Drinks and Food in the sidebar
-#         st.sidebar.header("Select Items to Display")
-
-#         # Drinks Section
-#         if drinks:
-#             st.sidebar.subheader("Drinks")
-#             for item in drinks:
-#                 # Add a unique key to each checkbox to avoid duplicate widget IDs
-#                 item_visibility[item] = st.sidebar.checkbox(item, value=True, key=f"checkbox_{item}_Drink")
-
-#         # Food Section
-#         if foods:
-#             st.sidebar.subheader("Food")
-#             for item in foods:
-#                 # Add a unique key to each checkbox to avoid duplicate widget IDs
-#                 item_visibility[item] = st.sidebar.checkbox(item, value=True, key=f"checkbox_{item}_Food")
-
-#         # Filter the data based on selected items
-#         selected_items = [item for item, visible in item_visibility.items() if visible]
-#         filtered_item_counts = item_counts[item_counts['Item'].isin(selected_items)]
-
-#         # Create a line plot for each selected item over time
-#         plt.figure(figsize=(12, 6))
-#         sns.lineplot(data=filtered_item_counts, x='Date', y='Count', hue='Item', marker='o')
-
-#         # Customize the plot
-#         plt.xticks(rotation=45)
-#         plt.title('Item Selections Over Time')
-#         plt.xlabel('Date')
-#         plt.ylabel('Number of Selections')
-#         plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=3)
-        
-#         # Display the plot
-#         st.pyplot(plt.gcf())
-#     else:
-#         st.write("No historical data available to plot.")
-
 # Graph view to display a line chart of item selections over time
 elif menu == "Graph":
     st.title("Breakfast Poll History - Graph View")