import matplotlib.pyplot as plt
import pandas as pd
import psutil
import py_shiny as ui

def get_cpu_usage():
    return psutil.cpu_percent(interval=1, percpu=True)

def fake_get_cpu_usage():
    return [10, 20, 30, 40]

def plot_graph(data, colormap):
    plt.figure(figsize=(10, 6))
    plt.imshow([data], cmap=colormap)
    plt.colorbar()
    plt.show()

def display_table(data, num_rows):
    df = pd.DataFrame(data, columns=['CPU Core 1', 'CPU Core 2', 'CPU Core 3', 'CPU Core 4'])
    print(df.head(num_rows))

def clear_history():
    # Clear history of CPU usage data
    pass

def freeze_output():
    # Freeze the output
    pass

def set_num_samples(num_samples):
    # Set number of samples per graph
    pass

def set_num_rows(num_rows):
    # Set number of rows to display in the table
    pass

def hide_ticks(axis):
    axis.set_xticks([])
    axis.set_yticks([])

if __name__ == '__main__':
    if ui.is_pyodide():
        psutil.cpu_percent = fake_get_cpu_usage

    app = ui.App(title='CPU Usage Monitor')

    colormap_select = ui.Select(options=['viridis', 'plasma', 'inferno', 'magma'], label='Select Colormap')
    clear_button = ui.Button(text='Clear History', onclick=clear_history)
    freeze_button = ui.Button(text='Freeze Output', onclick=freeze_output)
    num_samples_input = ui.Input(type='number', label='Number of Samples per Graph', onchange=set_num_samples)
    num_rows_input = ui.Input(type='number', label='Number of Rows to Display', onchange=set_num_rows)

    app.add(colormap_select)
    app.add(clear_button)
    app.add(freeze_button)
    app.add(num_samples_input)
    app.add(num_rows_input)

    app.run()