import streamlit as st import random import pandas as pd import os # Cascadia Game Components habitat_tiles = ['🌲', '🏞️', '🌊', '🌵', '🌄'] wildlife_tokens = ['🐻', '🦅', '🐟', '🦌', '🐿️'] players = ['Player 1', 'Player 2'] save_file = 'cascadia_game_state.csv' # Function to load game state from CSV def load_game_state(): if os.path.exists(save_file): df = pd.read_csv(save_file) game_state = { 'habitat_stack': df['habitat_stack'].dropna().tolist(), 'wildlife_stack': df['wildlife_stack'].dropna().tolist(), 'players': {} } for player in players: game_state['players'][player] = { 'habitat': df[player + '_habitat'].dropna().tolist(), 'wildlife': df[player + '_wildlife'].dropna().tolist(), 'nature_tokens': int(df[player + '_nature_tokens'][0]) } return game_state else: return None # Function to save game state to CSV def save_game_state(game_state): data = { 'habitat_stack': pd.Series(game_state['habitat_stack']), 'wildlife_stack': pd.Series(game_state['wildlife_stack']) } for player in players: player_state = game_state['players'][player] data[player + '_habitat'] = pd.Series(player_state['habitat']) data[player + '_wildlife'] = pd.Series(player_state['wildlife']) data[player + '_nature_tokens'] = pd.Series([player_state['nature_tokens']]) df = pd.DataFrame(data) df.to_csv(save_file, index=False) # Initialize or load game state game_state = load_game_state() if game_state is None: game_state = { 'habitat_stack': random.sample(habitat_tiles * 10, 50), 'wildlife_stack': random.sample(wildlife_tokens * 10, 50), 'players': {player: {'habitat': [], 'wildlife': [], 'nature_tokens': 3} for player in players} } save_game_state(game_state) # Streamlit Interface st.title("🌲 Cascadia Lite 🌲") # Function to draw habitat and wildlife def draw_habitat_and_wildlife(player, game_state): habitat = game_state['habitat_stack'].pop() wildlife = game_state['wildlife_stack'].pop() game_state['players'][player]['habitat'].append(habitat) game_state['players'][player]['wildlife'].append(wildlife) save_game_state(game_state) # Display players' areas and handle actions col1, col2 = st.columns(2) for index, player in enumerate(players): with (col1 if index == 0 else col2): st.write(f"## {player}'s Play Area") player_data = pd.DataFrame({ 'Habitat Tiles': game_state['players'][player]['habitat'], 'Wildlife Tokens': game_state['players'][player]['wildlife'] }) st.dataframe(player_data) # Drafting Phase if st.button(f"{player}: Draw Habitat and Wildlife"): draw_habitat_and_wildlife(player, game_state) game_state = load_game_state() # Tile and Wildlife Placement placement_options = ['Place Habitat', 'Place Wildlife', 'Skip'] placement_choice = st.selectbox(f"{player}: Choose an action", placement_options, key=f'placement_{player}') if placement_choice != 'Skip': st.write(f"{player} chose to {placement_choice}") # Nature Tokens nature_tokens = game_state['players'][player]['nature_tokens'] if st.button(f"{player}: Use a Nature Token ({nature_tokens} left)"): if nature_tokens > 0: # Logic to use a nature token st.write(f"{player} used a Nature Token!") game_state['players'][player]['nature_tokens'] -= 1 save_game_state(game_state) else: st.warning("No Nature Tokens left!") # Reset Button if st.button("Reset Game"): os.remove(save_file) # Delete the save file game_state = { 'habitat_stack': random.sample(habitat_tiles * 10, 50), 'wildlife_stack': random.sample(wildlife_tokens * 10, 50), 'players': {player: {'habitat': [], 'wildlife': [], 'nature_tokens': 3} for player in players} } save_game_state(game_state) st.experimental_rerun() # Game Controls and Instructions st.write("## Game Controls") st.write("Use the buttons and select boxes to play the game!")