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Hugging Face Space Deployment Fix

Issue

The Hugging Face Space deployment is failing with the following error:

Traceback (most recent call last):
  File "/home/user/app/app.py", line 8, in <module>
    from pages.dashboard import create_dashboard_page
  File "/home/user/app/pages/dashboard.py", line 8, in <module>
    from utils.state import generate_id, get_timestamp, record_activity
  File "/home/user/app/utils/state.py", line 9, in <module>
    from utils.error_handling import handle_exceptions, ValidationError, safe_get
ImportError: cannot import name 'safe_get' from 'utils.error_handling' (/home/user/app/utils/error_handling.py)

Root Cause Analysis

After investigating the codebase, I've identified the following issues:

  1. The safe_get function is correctly defined in utils/error_handling.py (around line 220-240)
  2. The function is also correctly imported in utils/__init__.py
  3. The error is likely occurring due to one of the following reasons:
    • The deployment environment might be using a different Python version than your local environment 1
    • There might be a caching issue in the Hugging Face Space 2
    • The deployment process might not be correctly installing all dependencies 4

Solution

Here are the steps to fix the issue:

1. Verify the safe_get function in error_handling.py

The safe_get function is defined in utils/error_handling.py as follows:

def safe_get(data, path, default=None):
    """
    Safely get a value from a nested dictionary.
    
    Args:
        data (dict): The dictionary to get the value from.
        path (str): The path to the value, using dot notation (e.g., "user.profile.name").
        default: The default value to return if the path doesn't exist.
    
    Returns:
        The value at the specified path, or the default value if the path doesn't exist.
    """
    keys = path.split('.')
    result = data
    
    try:
        for key in keys:
            if isinstance(result, dict):
                result = result.get(key, default)
            else:
                return default
        return result
    except Exception:
        return default

2. Ensure utils/init.py correctly imports safe_get

Verify that utils/__init__.py includes the safe_get function in its imports:

# Mona - AI Productivity Platform
# Utils package initialization

# This file makes the utils directory a Python package
# and allows for easier imports throughout the application

# Import commonly used utilities for easier access
from utils.storage import load_data, save_data
from utils.state import generate_id, get_timestamp, record_activity
from utils.logging import get_logger, setup_logger
from utils.error_handling import handle_exceptions, ValidationError, safe_get

__version__ = "0.1.0"

3. Add a direct import in state.py

To ensure the import works correctly, you can modify utils/state.py to import safe_get directly from error_handling.py rather than relying on the package import:

# Change this line:
from utils.error_handling import handle_exceptions, ValidationError, safe_get

# To this more explicit import:
from utils.error_handling import handle_exceptions, ValidationError
from utils.error_handling import safe_get  # Explicit import

4. Add an initialization check in app.py

Add a try-except block at the beginning of app.py to catch and provide more detailed information about import errors:

try:
    # Import pages
    from pages.dashboard import create_dashboard_page
    # ... other imports
except ImportError as e:
    import sys
    print(f"CRITICAL IMPORT ERROR: {e}", file=sys.stderr)
    print(f"Python version: {sys.version}", file=sys.stderr)
    print(f"Python path: {sys.path}", file=sys.stderr)
    raise

Hugging Face Space Specific Recommendations

  1. Specify Python Version: Add the following to your README.md file to ensure a compatible Python version 1:

    python_version: 3.9.13
    
  2. Factory Reboot: After making changes, perform a factory reboot of your Hugging Face Space 2.

  3. Check Dependencies: Ensure all dependencies in requirements.txt are correctly specified with proper package versions 4.

  4. Add Fallback Import: If the issue persists, you can add a fallback import mechanism in state.py:

    try:
        from utils.error_handling import handle_exceptions, ValidationError, safe_get
    except ImportError:
        # Define safe_get locally as a fallback
        def safe_get(data, path, default=None):
            keys = path.split('.')
            result = data
            try:
                for key in keys:
                    if isinstance(result, dict):
                        result = result.get(key, default)
                    else:
                        return default
                return result
            except Exception:
                return default
        # Still try to import the other functions
        from utils.error_handling import handle_exceptions, ValidationError
    
  5. Debugging: Add more logging statements to help debug deployment issues.

  6. Environment Variables: If your application uses environment variables, make sure they are properly set in the Hugging Face Space.

  7. File Path Differences: Be aware that file paths might be different between your local environment and the Hugging Face Space environment. Make sure to use relative imports correctly.

  8. File Path Differences: Be aware that file paths might be different between your local environment and the Hugging Face Space environment. Make sure to use relative imports correctly.

  9. Environment Variables: If your application uses environment variables, make sure they are properly set in the Hugging Face Space.

  10. Debugging: Add more logging statements to help debug deployment issues.

  11. Gradio Version: If you're using Gradio, make sure you're using a compatible version. Based on the search results, some Gradio versions might have issues with Hugging Face Spaces.