FIXES_SUMMARY.md

DubswayVideoAI - Error Fixes Summary

Issues Identified and Fixed

1. Unicode Encoding Errors (Windows Console)

Problem: Windows console couldn't display emoji characters (❌, 🎬, 📥, etc.) causing UnicodeEncodeError: 'charmap' codec can't encode character

Solution:

• Removed all emoji characters from logging messages
• Updated logging configuration to use UTF-8 encoding
• Used sys.stdout for better encoding support

Files Modified:

• worker/daemon.py - Removed emojis from all log messages
• app/utils/whisper_llm.py - Removed emojis from all log messages

2. FAISS API Compatibility Error

Problem: FAISS.__init__() got an unexpected keyword argument 'allow_dangerous_deserialization'

Solution:

• Removed the allow_dangerous_deserialization=True parameter from FAISS calls
• Updated to use the current FAISS API version

Files Modified:

• app/utils/whisper_llm.py - Fixed FAISS initialization calls

3. Database Session Management

Problem: Linter errors about async session context manager

Solution:

• Updated app/database.py to use async_sessionmaker instead of sessionmaker
• Added proper error handling and connection pooling
• Added database initialization and cleanup functions

Files Modified:

• app/database.py - Complete rewrite with modern SQLAlchemy 2.0+ patterns

4. Video Processing Errors

Problem: "tuple index out of range" errors in video processing

Solution:

• Added proper temp file cleanup in error cases
• Improved error handling in video download and processing
• Added better exception handling with cleanup

Files Modified:

• app/utils/whisper_llm.py - Added temp file cleanup and better error handling

5. Missing Dependencies

Problem: Missing SQLite support for development

Solution:

• Added aiosqlite to requirements.txt for SQLite support

Files Modified:

• requirements.txt - Added aiosqlite dependency

Improved Features

1. Better Logging

• UTF-8 encoded log files
• Structured logging format
• Separate log file for worker (worker.log)

2. Graceful Shutdown

• Signal handling for SIGINT and SIGTERM
• Proper cleanup of database connections
• Graceful worker loop termination

3. Database Management

• Automatic database initialization
• Connection pooling with health checks
• Proper async session management

4. Error Recovery

• Better error handling in all processing steps
• Automatic cleanup of temporary files
• Status tracking for failed videos

How to Run

1. Activate Virtual Environment

myenv31\Scripts\Activate.ps1  # PowerShell
# or
myenv31\Scripts\activate.bat  # Command Prompt

2. Install Dependencies

pip install -r requirements.txt

3. Run the Daemon

# From project root
python -m worker.daemon

# Or use the batch script
start-worker.bat

4. Test Setup

python test_daemon.py

Environment Configuration

Create a .env file based on env.example:

# Database Configuration
DATABASE_URL=sqlite+aiosqlite:///./dubsway_dev.db

# OpenAI Configuration
OPENAI_API_KEY=your_openai_api_key_here

# AWS S3 Configuration (if using S3)
AWS_ACCESS_KEY_ID=your_aws_access_key
AWS_SECRET_ACCESS_KEY=your_aws_secret_key
AWS_REGION=us-east-1
S3_BUCKET_NAME=your_s3_bucket_name

Key Improvements

1. Windows Compatibility: Fixed all Unicode encoding issues
2. Modern SQLAlchemy: Updated to use async_sessionmaker
3. Better Error Handling: Comprehensive error handling with cleanup
4. Resource Management: Proper cleanup of temporary files and connections
5. Logging: Structured logging without emoji characters
6. Graceful Shutdown: Proper signal handling and cleanup

Testing

The daemon should now:

• Start without Unicode errors
• Handle video processing errors gracefully
• Clean up resources properly
• Log messages clearly without encoding issues
• Shutdown gracefully on Ctrl+C

Next Steps

1. Test with actual video files
2. Monitor the worker.log file for any remaining issues
3. Configure production database (PostgreSQL) if needed
4. Set up proper environment variables for production