Stardew Wiki System Python Project Documentation

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PyPI: https://pypi.org/project/Stardew-Valley-Wiki/

Overview

The Stardew Wiki System Python project provides a console-based interface to interact with two main categories of information in the game Stardew Valley:

• Living Things: Animals and crops in Stardew Valley.
• Recipes: Recipes and their associated ingredients.

The project is organized into subpackages (livingthings and recipes), each containing specific functionalities.

Project Structure

stardew_wiki/
├── __init__.py          # Initializes the Stardew Wiki package
├── main.py              # Entry point for the entire package
├── livingthings/        # Subpackage for animals and crops
│   ├── __init__.py
│   ├── main.py
│   ├── animals.py       # Animal-related functionality
│   ├── crops.py         # Crop-related functionality
│   ├── data/            # Data files for animals and crops
│   │   ├── Animals.csv
│   │   ├── Crops.csv
├── recipes/             # Subpackage for recipes and ingredients
│   ├── __init__.py
│   ├── main.py
│   ├── recipe_search.py # Recipe search functionality
│   ├── ingredient_search.py # Ingredient search functionality
│   ├── data/            # Data files for recipes
│   │   ├── wiki.xlsx

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Main Features

Living Things

• Search for animals by name or type (Barn/Coop).
• Search for crops by name or season.

Recipes

• List all recipes.
• Search for recipes by name.
• Find recipes based on available ingredients.
• Suggest missing ingredients for a recipe.
• Explore ingredient details from crop and animal data.

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Modules and Functions

Main Module

File: stardew_wiki/main.py

Description:

• Acts as the entry point for the entire package.
• Provides a menu-driven interface to access the livingthings and recipes subpackages.

Functions

• main(): Displays the main menu and navigates to subpackage functionalities.

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Living Things Subpackage

File: stardew_wiki/livingthings

Description:

• Provides access to animal and crop-related data.

Modules

1. animals.py:

• Defines Animal, BarnAnimal, CoopAnimal, and AnimalDatabase classes.

• Allows searching for animals by name or type.

  Functions:

  • search_by_name(name): Finds an animal by name.
  • search_by_type(type): Filters animals by type (Barn/Coop).
  • input_animal(): Interactive function for searching animals via a menu.

2. crops.py:

• Defines Crop and CropDatabase classes.

• Allows searching for crops by name or season.

  Functions:

  • search_by_name(name): Finds a crop by name.
  • search_by_season(season): Lists crops for a specific season.
  • input_crop(): Interactive function for searching crops via a menu.

1. Module 1: animals.py

• Function 1: search_by_name(name)

  • Example Usage:

    search_by_name(name)

    • Output:

    Enter the name of the animal: Cow
    
    Search Result:
    Name: Cow
    Growth Time: 5(night)
    Product: Milk (Price: 125)
    Artisan Product: Cheese (Price: 230)
    Type: Barn
    

• Function 2: search_by_type(type)

  • Example Usage:

    search_by_type(type)

    • Output:

    Enter the type of animal (Barn/Coop): Barn
    
    Search Result:
    Name: Cow
    Growth Time: 5(night)
    Product: Milk (Price: 125)
    Artisan Product: Cheese (Price: 230)
    Type: Barn
    
    Name: Goat
    Growth Time: 5(night)
    Product: Goat Milk (Price: 225)
    Artisan Product: Goat Cheese (Price: 400)
    Type: Barn
    
    Name: Sheep
    Growth Time: 4(night)
    Product: Wool (Price: 340)
    Artisan Product: Cloth (Price: 470)
    Type: Barn
    
    Name: Pig
    Growth Time: 10(night)
    Product: Truffle (Price: 625)
    Artisan Product: Truffle Oil (Price: 1065)
    Type: Barn
    
    Name: Ostrich
    Growth Time: 7(night)
    Product: Ostrich Egg (Price: 600)
    Artisan Product: Mayonnaise(10) (Price: 190)
    Type: Barn
    

• Function 3: input_animal()

  • Example Usage:

    input_animal()

    • Output:

    Animal Search Menu:
    1. Search by Name
    2. Search by Type (Barn/Coop)
    3. Exit
    Enter your choice: 1
    

2. Module 2: crops.py

• Function 1: search_by_name(name)

  • Example Usage:

    search_by_name(name)

    • Output:

    Enter the name of the crop: Corn
    
    Search Result:
    Name: Corn
    Season: Summer/Fall
    Growth Time: 14
    Regrowth Time: 4.0
    Price: 50
    Crafting Product: Oil (Price: 100.0)
    

• Function 2: search_by_season(season)

  • Example Usage:

    search_by_season(season)

    • Output:

    Enter the season (Spring/Summer/Fall/Tropical): Tropical
    
    Search Result:
    Cactus
    Pineapple
    Taro
    

• Function 3: input_crop()

  • Example Usage:

    input_crop()

    • Output:

    Crop Search Menu:
    1. Search by Name
    2. Search by Season
    3. Exit
    Enter your choice: 3
    

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Recipes Subpackage

File: stardew_wiki/recipes

Description:

• Provides access to recipe and ingredient-related data.

Modules

1. recipe_search.py:

• Allows searching and listing of recipes.

  Functions:

  • list_all_recipes(recipes_df): Lists all recipes.
  • search_recipe_by_name(recipes_df): Finds a recipe by name.
  • ingredient_details(crops_df, animals_df): Fetches details of an ingredient from crop and animal data.

2. ingredient_search.py:

• Finds recipes by available ingredients or suggests missing ones.

  Functions:

  • list_all_ingredients(recipes_df): Lists all unique ingredients.
  • search_recipes_by_ingredients(recipes_df): Finds recipes containing specific ingredients.
  • suggest_missing_ingredients(recipes_df): Suggests missing ingredients for a recipe.

1. Module 1: recipe_search.py

• Function 1: list_all_recipes(recipes_df)

  • Example Usage:

    list_all_recipes(recipes_df)

    • Output:

      Available Recipes:
    - Fried Egg
    - Omelet
    - Cheese Cauliflower
    - Vegetable Medley
    - Pizza
    - Bean Hotpot
    - Glazed Yams
    - Hashbrowns
    - Bread
    

• Function 2: search_recipe_by_name(recipes_df)

  • Example Usage:

    search_recipe_by_name(recipes_df)

    • Output 1:

    Enter the name of the recipe to search: Pizza
    Recipe: Pizza
    Ingredients: Wheat Flour (1), Tomato (1), Cheese (1)
    

    • Output 2:

    Enter the name of the recipe to search: C
    Recipe: Cheese Cauliflower
    Ingredients: Cauliflower (1), Cheese (1)
    

• Function 3: ingredient_details(crops_df, animals_df)

  • Example Usage:

    ingredient_details(crops_df, animals_df)

    • Output 1:

    Enter the ingredient name to see details (or type 'STOP' to quit): Wheat
    
    Ingredient found in Crops:
    Name: Wheat
    Craft Name: Wheat Flour
    Season: Summer/Fall
    Growth Time: 4 days
    Regrowth Time: nan days
    Price: 25
    Craft Price: 50.0
    

    • Output 2:

    Enter the ingredient name to see details (or type 'STOP' to quit): c
    
    Ingredient not found in Crops or Animals.
    

Module 2: ingredient_search.py

• Function 1: list_all_ingredients(recipes_df)

  • Example Usage:

    list_all_ingredients(recipes_df)

    • Output:

    Unique Ingredients:
    - Beet
    - Cauliflower
    - Cheese
    - Egg
    - Green Bean
    - Milk
    - Oil
    - Potato
    - Sugar
    - Tomato
    - Wheat Flour
    - Yam
    

• Function 2: search_recipes_by_ingredients(recipes_df)

  • Example Usage:

    search_recipes_by_ingredients(recipes_df)

    • Output:

    Enter ingredients one by one (type 'STOP' to finish):
    Enter ingredient: Egg
    Enter ingredient: Cheese
    Enter ingredient: STOP
    Recipes containing the ingredients:
    - Cheese Cauliflower
    - Fried Egg
    - Pizza
    - Omelet
    

• Function 3: suggest_missing_ingredients(recipes_df)

  • Example Usage:

    suggest_missing_ingredients(recipes_df)

    • Output:

    Enter the name of the recipe: Pizza
    Enter the ingredients you already have (type 'STOP' to finish):
    Enter ingredient: Cheese
    Enter ingredient: STOP
    Missing Ingredients:
    - Wheat Flour
    - Tomato
    

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Menu Options

1. List All Recipes

• Function: list_all_recipes(recipes_df)
• Description: Displays the names of all available recipes in the dataset.
• How to Use: Select option 1 from the menu.

2. Search for a Recipe by Name

• Function: search_recipe_by_name(recipes_df)
• Description: Prompts the user to input a recipe name and displays its required ingredients.
• How to Use: Select option 2 from the menu.

3. View Details of Ingredients

• Function: ingredient_details(crops_df, animals_df)
• Description: Allows the user to input an ingredient name and retrieves detailed information from the Crops and Animals datasets. Continues until the user inputs STOP.
• How to Use: Select option 3 from the menu.

4. List All Unique Ingredients

• Function: list_all_ingredients(recipes_df)
• Description: Extracts and displays a list of unique ingredients used across all recipes.
• How to Use: Select option 4 from the menu.

5. Search Recipes by Ingredients

• Function: search_recipes_by_ingredients(recipes_df)
• Description: Prompts the user to input ingredients one by one and searches for recipes containing those ingredients. Stops when the user inputs STOP.
• How to Use: Select option 5 from the menu.

6. Suggest Missing Ingredients for a Recipe

• Function: suggest_missing_ingredients(recipes_df)
• Description: Prompts the user to input the name of a recipe and the ingredients they already have. Suggests the missing ingredients required to complete the recipe.
• How to Use: Select option 6 from the menu.

7. Exit

• Description: Terminates the program.
• How to Use: Select option 7 from the menu.

Usage

How to Run

1. Prerequisites:

   • Python 3.x
   • Required Libraries:
     • pandas
     • openpyxl (for reading Excel files)

2. Run the Script:

   • Place the Excel file (DATA581 Project csv.xlsx) in the data/ directory.
   • Execute the script:

     python main.py

3. Follow the Menu:

   • Interact with the program by selecting options from the menu and following the prompts.

Data Files

Animals Data (Animals.csv)

• Columns:
  • name_animal: name of animals
  • type: Barn/Coop animals
  • growth_animal: time for animals to mature
  • product_animal: the product of the animal
  • product_animal_price: the price of the product
  • artisan_animal: the artisan product made by the animal's product
  • artisan_animal_price: the price of the artisan product

Crops Data (Crops.csv)

• Columns:
  • name_crop: name of crops
  • season: the growth season of the crop
  • growth_crop: the time for the crop to mature
  • regrowth_crop: the regrowth time for the crop
  • crop_price: the price of the crop
  • craft_crop: the crafting product of the crop
  • craft_crop_price: the price of the crafting product

Recipes Data (wiki.xlsx)

Sheets:

• Recipes: Contains recipe names and ingredients.
• Crops: Crop-related information.
• Animals: Animal-related information.