Create app.py

app.py

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+# Step 2: Authenticate the user (this will open a prompt)
+# from google.colab import auth
+# auth.authenticate_user()  # This will prompt you to log in and authenticate
+
+# Step 3: Download the .xlsx file from Google Drive using its ID
+import gdown
+
+# Extracted file ID from your Google Drive URL
+file_id = '1BJFao3C6p8k3_KjLfmDo5KbNMrTs7MRo'  # Use your actual file ID from the URL
+url = f'https://drive.google.com/uc?id={file_id}'
+
+# Download the file
+gdown.download(url, 'data.xlsx', quiet=False)  # Save it as data.xlsx
+
+# Step 4: Read the .xlsx file using pandas
+import pandas as pd
+
+# Read the Excel file
+df = pd.read_excel('data.xlsx', engine='openpyxl')  # Using openpyxl to read .xlsx files
+
+# Display the first 5 rows of the data
+print(df.head())
+# Check the column names and basic structure
+print(df.columns)
+
+# Check for any missing data
+print(df.isnull().sum())
+
+# Display summary statistics
+print(df.describe())
+import random
+import pandas as pd
+
+# Step 5: Filter dishes by season
+def filter_dishes_by_season(df, season='All Seasons'):
+    """Filters the dataset based on the season."""
+    # Filter by the specified season (Summer, Winter, All Seasons)
+    filtered_df = df[df['Season'].isin([season, 'All Seasons'])]
+    return filtered_df
+
+# Step 6: Generate weekly menu based on constraints
+def generate_weekly_menu(df, season='All Seasons', budget=6000):
+    """Generates a weekly menu based on user preferences."""
+
+    # Filter dishes by the selected season
+    available_dishes = filter_dishes_by_season(df, season)
+
+    # Constraints for the weekly menu
+    required_categories = {
+        'meat': 1,
+        'chicken': 2,
+        'fish': 1,
+        'daal': 4,
+        'sabzi': 4,
+        'outing': 1,
+        'dessert': 2,
+        'snack': 2
+    }
+
+    weekly_menu = []
+    total_cost = 0
+
+    # Generate the menu by selecting dishes that meet the constraints
+    for category, count in required_categories.items():
+        # Special handling for 'outing' category
+        if category == 'outing':
+            category_dishes = available_dishes[available_dishes['Home Made / Outing'].str.contains('Outing', case=False)]
+        else:
+            # Filter dishes based on the sub-category (for all other categories)
+            category_dishes = available_dishes[available_dishes['Sub-Category'].str.contains(category, case=False)]
+
+        if len(category_dishes) > 0:
+            # If there are dishes in the category, select as many as possible
+            selected_dishes = random.sample(list(category_dishes.iterrows()), min(count, len(category_dishes)))
+            for dish in selected_dishes:
+                dish_info = dish[1]
+                weekly_menu.append(dish_info['Name'])
+                total_cost += dish_info['Cost per 4 persons']
+        else:
+            print(f"Not enough dishes found in category '{category}'. Adding none.")
+
+    # If the total cost exceeds the budget, we can suggest reducing high-cost items or adjust constraints
+    if total_cost > budget:
+        print(f"Total cost ({total_cost}) exceeds budget. Try adjusting your criteria.")
+        # Example of dynamic adjustment: remove expensive dishes or reduce number of items
+        # Try reducing the cost by taking fewer dishes (example: reduce number of chicken or sabzi)
+        weekly_menu = []  # Clear the current menu to attempt adjustment
+        total_cost = 0
+        for category, count in required_categories.items():
+            category_dishes = available_dishes[available_dishes['Sub-Category'].str.contains(category, case=False)]
+
+            # Sort dishes by cost (lowest first) for budget-friendly selection
+            category_dishes_sorted = category_dishes.sort_values(by='Cost per 4 persons')
+
+            selected_dishes = random.sample(list(category_dishes_sorted.iterrows()), min(count, len(category_dishes_sorted)))
+            for dish in selected_dishes:
+                dish_info = dish[1]
+                weekly_menu.append(dish_info['Name'])
+                total_cost += dish_info['Cost per 4 persons']
+
+            if total_cost > budget:  # If the total cost still exceeds, stop and return the result
+                break
+
+    return weekly_menu, total_cost
+
+
+# Example Usage
+season = 'Summer'  # Can be 'Summer', 'Winter', or 'All Seasons'
+budget = 6000  # Monthly budget in PKR
+
+# Generate weekly menu
+menu, total_cost = generate_weekly_menu(df, season, budget)
+
+# Print the weekly menu and total cost
+print("Weekly Menu:")
+if isinstance(menu, list):
+    for dish in menu:
+        print(f"- {dish}")
+else:
+    print(menu)
+print(f"Total Cost: {total_cost} PKR")