PyCafe - Dash - Street Fighter画像パッケージ

app.py
requirements.txt
app.py
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import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output, State
import plotly.graph_objects as go
import numpy as np

# Initialize the Dash app
app = dash.Dash(__name__)

# Maze generation using a simple algorithm (DFS)
def generate_maze(n, m):
    maze = np.zeros((n, m), dtype=int)
    visited = np.zeros((n, m), dtype=int)
    
    def visit(x, y):
        directions = [(1,0), (-1,0), (0,1), (0,-1)]
        np.random.shuffle(directions)
        for dx, dy in directions:
            nx, ny = x + dx, y + dy
            if 0 <= nx < n and 0 <= ny < m and not visited[nx, ny]:
                maze[x, y] |= (1 << directions.index((dx, dy)))
                maze[nx, ny] |= (1 << directions.index((-dx, -dy)))
                visited[nx, ny] = 1
                visit(nx, ny)
                
    visited[0, 0] = 1
    visit(0, 0)
    return maze

# Maze-solving algorithm using DFS
def solve_maze(maze):
    n, m = maze.shape
    path = []
    visited = np.zeros((n, m), dtype=int)
    
    def dfs(x, y):
        if x == n-1 and y == m-1:
            path.append((x, y))
            return True
        visited[x, y] = 1
        path.append((x, y))
        directions = [(1,0), (-1,0), (0,1), (0,-1)]
        for dx, dy in directions:
            nx, ny = x + dx, y + dy
            if 0 <= nx < n and 0 <= ny < m and not visited[nx, ny]:
                if (dx == 1 and (maze[x, y] & 1)) or (dx == -1 and (maze[nx, ny] & 1)) or (dy == 1 and (maze[x, y] & 2)) or (dy == -1 and (maze[nx, ny] & 2)):
                    if dfs(nx, ny):
                        return True
        path.pop()
        return False

    dfs(0, 0)
    return path

# Convert maze to polar coordinates
def maze_to_polar(maze):
    n, m = maze.shape
    theta_step = 2 * np.pi / m
    r_step = 1 / n
    walls = []

    for i in range(n):
        for j in range(m):
            if not (maze[i, j] & 1):  # wall to the right
                theta = (j + 1) * theta_step
                walls.append(((i * r_step, theta), (i * r_step + r_step, theta)))
            if not (maze[i, j] & 2):  # wall down
                r = (i + 1) * r_step
                walls.append(((r, j * theta_step), (r, (j + 1) * theta_step)))

    return walls

# Convert path to polar coordinates
def path_to_polar(path, n, m):
    theta_step = 2 * np.pi / m
    r_step = 1 / n
    r_coords = []
    theta_coords = []
    
    for x, y in path:
        r_coords.append((x + 0.5) * r_step)
        theta_coords.append((y + 0.5) * theta_step)
    
    return r_coords, theta_coords

# Ensure the path does not touch the walls
def adjust_path(path, maze):
    n, m = maze.shape
    adjusted_path = []
    for i, (x, y) in enumerate(path):
        if i > 0:
            prev_x, prev_y = path[i - 1]
            if x == prev_x:
                if y > prev_y:
                    y -= 0.2
                else:
                    y += 0.2
            else:
                if x > prev_x:
                    x -= 0.2
                else:
                    x += 0.2
        adjusted_path.append((x, y))
    return adjusted_path

# Define the layout of the Dash app
app.layout = html.Div([
    html.H1("Polar Maze Generator", style={'color': 'black', 'textAlign': 'center'}),
    dcc.Graph(id='polar-maze-graph'),
    dcc.Slider(id='maze-size-slider', min=5, max=50, step=1, value=30, marks={i: f'{i}' for i in range(5, 51, 5)}),
    html.Div(id='maze-size-display', style={'textAlign': 'center'}),
    html.Button('Generate New Maze', id='generate-button', n_clicks=0)
], style={'backgroundColor': 'white', 'padding': '20px'})

# Callback to update the maze size display
@app.callback(
    Output('maze-size-display', 'children'),
    [Input('maze-size-slider', 'value')]
)
def update_maze_size_display(value):
    return f'Maze Size: {value}x{value}'

# Callback to generate a new maze
@app.callback(
    Output('polar-maze-graph', 'figure'),
    [Input('generate-button', 'n_clicks')],
    [State('maze-size-slider', 'value')]
)
def update_maze_graph(n_clicks, maze_size):
    maze = generate_maze(maze_size, maze_size)
    walls = maze_to_polar(maze)
    path = solve_maze(maze)
    adjusted_path = adjust_path(path, maze)
    r_coords, theta_coords = path_to_polar(adjusted_path, maze_size, maze_size)
    
    fig = go.Figure()
    
    for (r1, theta1), (r2, theta2) in walls:
        fig.add_trace(go.Scatterpolar(
            r=[r1, r2], theta=np.degrees([theta1, theta2]),
            mode='lines', line=dict(color='blue')
        ))
    
    fig.add_trace(go.Scatterpolar(
        r=r_coords, theta=np.degrees(theta_coords),
        mode='lines', line=dict(color='red', width=3),
        name='Solution'
    ))
    
    fig.update_layout(
        polar=dict(
            radialaxis=dict(visible=True, range=[0, 1]),
            angularaxis=dict(visible=True)
        ),
        showlegend=False,
        margin=dict(l=0, r=0, t=0, b=0)
    )
    
    return fig

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True)