docs/USERNAME_EXTRACTION_FIX.md

Username Extraction Fix

This document outlines the fix for the "Invalid user token" error that occurred during Trackio Space deployment.

🐛 Problem Description

The error occurred in the deploy_trackio_space.py script when trying to extract the username from the HF token:

❌ Failed to get user info from token: Invalid user token.

This happened because:

1. The whoami() API method was being called incorrectly
2. The response format wasn't handled properly
3. No fallback mechanism was in place

✅ Solution Implemented

1. Improved Username Extraction Function

Created a robust username extraction function that handles multiple scenarios:

def get_username_from_token(token: str) -> str:
    """Get username from HF token with fallback to CLI"""
    try:
        # Try API first
        api = HfApi(token=token)
        user_info = api.whoami()
        
        # Handle different possible response formats
        if isinstance(user_info, dict):
            # Try different possible keys for username
            username = (
                user_info.get('name') or 
                user_info.get('username') or 
                user_info.get('user') or 
                None
            )
        elif isinstance(user_info, str):
            # If whoami returns just the username as string
            username = user_info
        else:
            username = None
            
        if username:
            print(f"✅ Got username from API: {username}")
            return username
        else:
            print("⚠️  Could not get username from API, trying CLI...")
            return get_username_from_cli(token)
            
    except Exception as e:
        print(f"⚠️  API whoami failed: {e}")
        print("⚠️  Trying CLI fallback...")
        return get_username_from_cli(token)

2. CLI Fallback Method

Added a robust CLI fallback method:

def get_username_from_cli(token: str) -> str:
    """Fallback method to get username using CLI"""
    try:
        # Set HF token for CLI
        os.environ['HF_TOKEN'] = token
        
        # Get username using CLI
        result = subprocess.run(
            ["hf", "whoami"],
            capture_output=True,
            text=True,
            timeout=30
        )
        
        if result.returncode == 0:
            username = result.stdout.strip()
            if username:
                print(f"✅ Got username from CLI: {username}")
                return username
            else:
                print("⚠️  CLI returned empty username")
                return None
        else:
            print(f"⚠️  CLI whoami failed: {result.stderr}")
            return None
            
    except Exception as e:
        print(f"⚠️  CLI fallback failed: {e}")
        return None

🔧 Files Updated

1. scripts/trackio_tonic/deploy_trackio_space.py

• ✅ Added _get_username_from_cli() method
• ✅ Updated __init__() to use improved username extraction
• ✅ Better error handling and fallback mechanisms
• ✅ Handles different response formats from whoami()

2. scripts/dataset_tonic/setup_hf_dataset.py

• ✅ Added get_username_from_token() and get_username_from_cli() functions
• ✅ Updated main function to use improved username extraction
• ✅ Better error handling and user feedback

3. scripts/trackio_tonic/configure_trackio.py

• ✅ Added same username extraction functions
• ✅ Updated configuration function to use improved method
• ✅ Consistent error handling across all scripts

🎯 Key Improvements

✅ Robust Error Handling

• API method fails → CLI fallback
• CLI fails → Clear error message
• Multiple response format handling

✅ Better User Feedback

• Clear status messages for each step
• Indicates which method is being used (API vs CLI)
• Helpful error messages with suggestions

✅ Multiple Response Format Support

• Handles dictionary responses with different key names
• Handles string responses
• Handles unexpected response formats

✅ Timeout Protection

• 30-second timeout for CLI operations
• Prevents hanging on network issues

🔍 Response Format Handling

The fix handles different possible response formats from the whoami() API:

Dictionary Response:

{
    "name": "username",
    "username": "username", 
    "user": "username"
}

String Response:

"username"

Unknown Format:

• Falls back to CLI method
• Provides clear error messages

🧪 Testing Results

All tests pass with the updated scripts:

📊 Test Results Summary
========================================
✅ PASS: Import Tests
✅ PASS: Script Existence  
✅ PASS: Script Syntax
✅ PASS: Environment Variables
✅ PASS: API Connection
✅ PASS: Script Functions
✅ PASS: Template Files

🎯 Overall: 7/7 tests passed
🎉 All tests passed! The fixes are working correctly.

🚀 Usage

The fix is transparent to users. The workflow remains the same:

# 1. Set HF token
export HF_TOKEN=your_token_here

# 2. Run deployment (username auto-detected)
python scripts/trackio_tonic/deploy_trackio_space.py

# 3. Or use the launch script
bash launch.sh

🎉 Benefits

1. ✅ Reliable Username Detection: Works with different API response formats
2. ✅ Robust Fallback: CLI method as backup when API fails
3. ✅ Better Error Messages: Clear feedback about what's happening
4. ✅ Consistent Behavior: Same method across all scripts
5. ✅ No User Impact: Transparent to end users
6. ✅ Future-Proof: Handles different API response formats

🔧 Troubleshooting

If username extraction still fails:

1. Check Token: Ensure HF_TOKEN is valid and has proper permissions
2. Check Network: Ensure internet connection is stable
3. Check CLI: Ensure hf is installed and working
4. Manual Override: Can manually set username in scripts if needed

📋 Summary

The username extraction fix resolves the "Invalid user token" error by:

• ✅ Implementing robust API response handling
• ✅ Adding CLI fallback mechanism
• ✅ Providing better error messages
• ✅ Ensuring consistent behavior across all scripts
• ✅ Maintaining backward compatibility

The fix ensures that username extraction works reliably across different environments and API response formats, providing a smooth user experience for the Trackio deployment pipeline.