script.py

# Create a comprehensive project structure for Hugging Face Spaces deployment
import pandas as pd
import json

# Define the updated project structure
project_structure = {
    "File/Directory": [
        "app.py",
        "requirements.txt", 
        "README.md",
        "config.py",
        "wildberries_client.py",
        "forecasting.py",
        "dashboard.py",
        "utils.py",
        ".gitignore",
        "examples/",
        "examples/sample_data.json"
    ],
    "Purpose": [
        "Main Gradio application entry point",
        "Python dependencies for Hugging Face Spaces",
        "Space configuration and documentation", 
        "Configuration management for secrets and settings",
        "Wildberries API client with rate limiting",
        "Inventory forecasting algorithms",
        "Gradio dashboard components and UI",
        "Utility functions and helpers",
        "Git ignore patterns",
        "Sample data directory",
        "Sample API response data for testing"
    ],
    "Changes for HF Spaces": [
        "Remove MCP server code, focus on Gradio only",
        "Pin specific versions, include gradio and requests",
        "Add sdk: gradio and app_file: app.py metadata",
        "Use environment variables for API tokens",
        "Add retry logic and respect rate limits",
        "Keep existing algorithms, add error handling",
        "Optimize for web interface, remove MCP components",
        "Add data validation and error handling",
        "Standard patterns for Python projects",
        "For demo purposes when API is unavailable",
        "Fallback data for offline demo"
    ]
}

project_df = pd.DataFrame(project_structure)
project_df.to_csv("huggingface_spaces_project_structure.csv", index=False)
print("Project Structure for Hugging Face Spaces:")
print(project_df.to_string(index=False))