Python Package Structure

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots(figsize=(12, 10), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Inner ring - Top-level modules
mod_sizes = [30, 25, 20, 15, 10]
mod_labels = ['core/', 'api/', 'utils/', 'models/', 'tests/']
mod_colors = ['#5314E6', '#27D3F5', '#6CF527', '#F5B027', '#F5276C']

# Outer ring - Files
file_sizes = [10, 10, 10, 10, 8, 7, 8, 7, 5, 8, 7, 5, 5]
file_colors = ['#5314E6', '#7B4DFF', '#9C7AFF',
               '#27D3F5', '#5CE8FF', '#8CF2FF',
               '#6CF527', '#8FFF5C', '#B2FF8C',
               '#F5B027', '#FFCC5C',
               '#F5276C', '#FF5A94']

wedges_outer, _ = ax.pie(file_sizes, radius=1, colors=file_colors,
       wedgeprops=dict(width=0.3, edgecolor='#0a0a0f', linewidth=2))

wedges_inner, _ = ax.pie(mod_sizes, radius=0.7, colors=mod_colors,
       wedgeprops=dict(width=0.3, edgecolor='#0a0a0f', linewidth=2))

# Add module labels
for i, (wedge, label) in enumerate(zip(wedges_inner, mod_labels)):
    ang = (wedge.theta2 - wedge.theta1) / 2 + wedge.theta1
    x = 0.55 * np.cos(np.radians(ang))
    y = 0.55 * np.sin(np.radians(ang))
    ax.text(x, y, label, ha='center', va='center', fontsize=10, 
            color='white', fontweight='bold')

centre_circle = plt.Circle((0, 0), 0.4, fc='#0a0a0f', ec='#334155', linewidth=2)
ax.add_artist(centre_circle)
ax.text(0, 0, 'mypackage/\n25 modules', ha='center', va='center',
        fontsize=11, color='white', fontweight='bold')

# Legend
file_labels = ['engine.py', 'config.py', 'base.py', 'routes.py', 'handlers.py', 
               'middleware.py', 'helpers.py', 'validators.py', 'logger.py',
               'user.py', 'product.py', 'test_core.py', 'test_api.py']
ax.legend(wedges_outer, file_labels, loc='center left', bbox_to_anchor=(1.05, 0.5),
          fontsize=9, frameon=True, facecolor='#1e293b', edgecolor='#334155',
          labelcolor='white', title='Files', title_fontsize=10)

ax.set_title('Python Package Structure', fontsize=18, color='#f8fafc',
             fontweight='bold', pad=20)

plt.tight_layout()
plt.show()