app.py

import streamlit as st
import plotly.express as px
import pandas as pd
import numpy as np

# Define the list of game mechanics
game_mechanics = ["Action Queue ⏱️", "Action Retrieval 🔍", "Campaign / Battle Card Driven 🗃️",
"Card Play Conflict Resolution 💳🤝", "Communication Limits 🙊",
"Cooperative Game 🤝👥", "Critical Hits and Failures 💥💔", "Deck Construction 🎴🛠️",
"Grid Movement 🗺️", "Hand Management 🖐️📊", "Hexagon Grid 🔳", "Legacy Game 🎓🎮",
"Line of Sight 👀", "Modular Board 🧩", "Once-Per-Game Abilities 🌟", "Role Playing 🎭",
"Scenario / Mission / Campaign Game 🎯", "Simultaneous Action Selection 🤜🤛",
"Solo / Solitaire Game 🕺", "Storytelling 📖", "Variable Player Powers 🦸‍♂️🦹‍♀️"]

# Define a function to generate random values for each game mechanic
def generate_values(n):
    health_points = np.random.randint(50, 100, size=n)
    coins = np.random.randint(10, 50, size=n)
    return {"HealthPoints": health_points, "Coins": coins}

# Define the Streamlit app
def app():
    st.title("Game Mechanics Treemap Chart")
    st.write("This app displays a Treemap chart of game mechanics.")

    # Generate the data for the chart
    n = len(game_mechanics)
    values = generate_values(n)
    data = pd.DataFrame({
        "category": ["Category 1"] * n,
        "mechanic": game_mechanics,
        "value": list(values.values()),
        "HealthPoints": values["HealthPoints"],
        "Coins": values["Coins"],
        "description": ["Description"] * n
    })
    data["value"] = data["value"].apply(lambda x: sum(x))

    # Draw the chart
    fig = px.treemap(data, path=["category", "mechanic"], values="value",
                     color="HealthPoints", hover_data=["Coins"])
    st.plotly_chart(fig)

    # Display a download link for the data
    csv = data.to_csv(index=False)
    b64 = base64.b64encode(csv.encode()).decode()
    href = f'<a href="data:file/csv;base64,{b64}" download="game_mechanics.csv">Download CSV</a>'
    st.markdown(href, unsafe_allow_html=True)

if __name__ == '__main__':
    app()