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Video Content Standards Compliance System

TDG Score Coverage Quality Cloud

Intelligent video compliance system built in Rust for professional content delivery standards. Automatically analyzes, audits, and fixes video files across local storage and Google Drive to meet industry specifications.

🚀 Features

🔍 Compliance Analysis

  • 📋 Standards Validation: Enforces professional content delivery specifications
  • ⚡ Real-time Scoring: 0-100 compliance scores with detailed violation reports
  • 🎯 Multi-format Support: MP4, AVI, MOV analysis with comprehensive metadata extraction
  • 📊 Enhanced Reporting: Detailed summaries with video AND audio codec distribution tracking
  • 🎬 Smart Recommendations: Actionable fix suggestions based on content standards

☁️ Google Drive Integration

  • 🔐 OAuth2 Authentication: Secure Google Drive API integration (demo mode)
  • 📁 Cloud Discovery: Automatic detection and analysis of Drive-hosted videos
  • ⬇️ Smart Downloads: Efficient cloud file processing without permanent storage
  • 📈 Remote Auditing: Comprehensive compliance reports for cloud assets
  • 🔄 Batch Processing: Analyze multiple cloud files simultaneously

🛠️ Intelligent Fixing

  • 🎯 GPU Acceleration: Fast video conversion using NVIDIA NVENC hardware encoding
  • 🔄 Format Conversion: Automatic transcoding to compliant H.264 formats
  • 📐 Resolution Optimization: Smart scaling to preferred resolutions (1080p/720p)
  • 🎵 Audio Enhancement: PCM/ALAC encoding for maximum quality
  • 🛡️ Non-destructive: Original files are never modified or overwritten

🏆 Quality Standards

This project maintains industry-leading quality standards:

  • TDG Score: 92.7/100 (A grade) - Technical Debt Grade via pmat analysis
  • Test Coverage: 81.76% line coverage with 38 comprehensive tests
  • Zero Technical Debt: No TODO, FIXME, or HACK markers allowed
  • Security: Zero known vulnerabilities via cargo audit
  • Pre-commit Hooks: Automatic quality gate enforcement on every commit

📋 Requirements

Hardware

  • NVIDIA GPU with NVENC support (GTX 10-series or newer)
  • CUDA drivers installed and working

Software

  • Rust toolchain (2021 edition)
  • FFmpeg with NVENC support compiled
  • NVIDIA CUDA toolkit for hardware acceleration

Optional Development Tools

  • cargo-llvm-cov for coverage reports
  • pmat for TDG analysis and quality gates

🔧 Installation

From Crates.io (Recommended)

# Install the latest version from crates.io
cargo install mp4converter

# Verify installation
mp4converter --version

From Source

# Clone and install from source
git clone https://github.com/paiml/mp4convertor.git
cd mp4converter
make install

Development Setup

# Install with development tools and quality gates
make setup-hooks  # Install quality gate pre-commit hooks
make coverage     # Generate coverage report
make check        # Run complete quality pipeline

The binary will be installed to ~/.cargo/bin/mp4converter (via cargo) or ~/.local/bin/mp4converter (via make). Ensure the appropriate directory is in your PATH.

🚀 Quick Start

Basic Compliance Check

# Check if your videos meet content delivery standards
mp4converter --dir ~/Videos --compliance

# Example output:
# ✅ Compliant Files: 8 (80%)
# ❌ Non-Compliant Files: 2 (20%)
# 📊 Average Compliance Score: 92/100

Fix Non-Compliant Videos

# Automatically fix videos to meet standards (PCM audio, H.264 video)
mp4converter --dir ~/Videos --compliance --convert

# Files are saved to ~/Videos/H264/ with original names
# Original files are never modified

📚 Tutorials & Examples

Tutorial 1: Professional Content Delivery Preparation

Scenario: You have a folder of tutorial videos that need to meet professional content delivery standards for online platforms.

# Step 1: Analyze your videos
mp4converter --dir ~/my-course-videos --compliance

# Step 2: Review the compliance report
# Look for:
# - Audio codec issues (should be PCM for maximum quality)
# - Resolution problems (should be 1080p or 720p)
# - Frame rate issues (should be standard rates like 30fps)

# Step 3: Fix all non-compliant videos
mp4converter --dir ~/my-course-videos --compliance --convert --verbose

# Result: All videos now have:
# ✅ H.264 video codec (universally compatible)
# ✅ PCM audio (maximum quality, DaVinci Resolve compatible)
# ✅ Standard resolutions (1080p/720p)
# ✅ Proper frame rates

Tutorial 2: DaVinci Resolve Linux Workflow

Scenario: Preparing videos for editing in DaVinci Resolve on Linux (which requires PCM audio).

# Problem: DaVinci Resolve on Linux doesn't work well with AAC audio
# Solution: Convert to PCM audio format

# Step 1: Check current audio codecs
mp4converter --dir ~/raw-footage --compliance | grep -A5 "Audio Codec"

# Step 2: Convert all videos to use PCM audio
mp4converter --dir ~/raw-footage --convert --verbose

# Step 3: Verify conversion
mp4converter --dir ~/raw-footage/H264 --compliance

# You should see:
# Audio Codec Distribution:
#   • 12 videos using pcm_s24le  (24-bit PCM - perfect for DaVinci!)

Tutorial 3: Batch Processing for Content Creators

Scenario: You're a content creator with videos from different sources (OBS, screen recordings, phone videos).

# Process an entire project directory
cd ~/content/youtube-project

# Step 1: Get a detailed analysis
mp4converter --dir . --compliance --verbose

# Step 2: Convert only non-compliant files
mp4converter --dir . --compliance --convert

# The tool will:
# - Skip already compliant files (saves time)
# - Fix audio to PCM for maximum quality
# - Standardize resolutions
# - Preserve original files
# - Keep original filenames in H264 folder

Tutorial 4: Quality Assurance Pipeline

Scenario: Ensure all videos in a production pipeline meet quality standards.

# Create a simple QA script
cat > check_videos.sh << 'EOF'
#!/bin/bash
echo "🎬 Video QA Pipeline"
echo "===================="

# Check compliance
mp4converter --dir ./uploads --compliance > compliance_report.txt

# Extract score
SCORE=$(grep "Average Compliance Score" compliance_report.txt | grep -o '[0-9]*')

# Fail if score is below 90
if [ "$SCORE" -lt "90" ]; then
    echo "❌ Videos don't meet quality standards (Score: $SCORE/100)"
    echo "🔧 Attempting automatic fixes..."
    mp4converter --dir ./uploads --convert --compliance
    exit 1
else
    echo "✅ All videos meet quality standards (Score: $SCORE/100)"
fi
EOF

chmod +x check_videos.sh
./check_videos.sh

🎮 Advanced Usage

📁 Local Directory Analysis

# Analyze local videos for compliance
mp4converter --dir /path/to/videos --compliance

# Convert non-compliant videos with detailed progress
mp4converter --dir /path/to/videos --convert --verbose

# Comprehensive compliance analysis with fixing
mp4converter --dir /path/to/videos --compliance --convert --verbose

☁️ Google Drive Integration

# Analyze Google Drive videos for compliance
mp4converter --drive --compliance

# Use custom credentials file
mp4converter --drive --compliance --credentials /path/to/creds.json

# Verbose analysis with detailed progress
mp4converter --drive --compliance --verbose

# Future: Fix non-compliant Drive files (coming in Sprint 3)
mp4converter --drive --compliance --convert

🎯 Common Use Cases

For Video Editors

# Fix OBS recordings for DaVinci Resolve
mp4converter --dir ~/obs-recordings --convert --compliance

# Batch process screen captures
mp4converter --dir ~/screen-captures --compliance --convert --verbose

For Course Creators

# Ensure all course videos meet platform standards
mp4converter --dir ~/course/module-1 --compliance

# Fix and verify all modules
for dir in ~/course/module-*; do
    mp4converter --dir "$dir" --compliance --convert
done

For Content Teams

# Generate compliance report for stakeholders
mp4converter --dir ./final-videos --compliance > report.txt

# Process videos and keep detailed logs
mp4converter --dir ./raw-videos --compliance --convert --verbose 2>&1 | tee conversion.log

📖 Understanding Compliance Scores

The compliance scoring system (0-100) evaluates videos based on:

Score Range Status Meaning
90-100 ✅ COMPLIANT Ready for professional delivery
70-89 🟡 MOSTLY COMPLIANT Minor issues, may work but not optimal
50-69 🟠 PARTIALLY COMPLIANT Significant issues, needs fixes
0-49 🔴 NON-COMPLIANT Major issues, requires conversion

Violation Severity Levels

  • 🔴 Critical: Must be fixed (wrong codec, unsupported format)
  • 🟡 Warning: Should be fixed (non-standard resolution, frame rate)
  • 🔵 Info: Nice to fix (audio codec preference, optimization)

🔍 Command Reference

Command-line Options

Option Description
-d, --dir <PATH> Directory containing video files
-c, --convert Enable conversion mode (fixes non-compliant videos)
-v, --verbose Show detailed progress and operations
--compliance Perform standards compliance analysis
--drive Enable Google Drive integration
--credentials <PATH> Path to Google Drive credentials JSON

File Support

  • Input Formats: MP4, AVI, MOV (automatically detected)
  • Output Format: Standards-compliant MP4 with H.264 video and PCM/AAC audio
  • Naming: Original filenames preserved in H264/ directory
  • Cloud Formats: Full Google Drive video file support

⚙️ Compliance & Conversion Settings

Optimized for professional content delivery standards with maximum quality and hardware acceleration:

Video Encoding

  • Codec: H.264 with NVIDIA NVENC hardware acceleration
  • Preset: p7 (highest quality preset available)
  • Quality Mode: Constant Quality (CQ) 18 for near-lossless output
  • Profile: High Profile for maximum feature support
  • Pixel Format: YUV420p (universal compatibility)

Audio Encoding

  • Primary Codec: PCM (pcm_s24le) - Preferred for maximum quality and DaVinci Resolve compatibility
  • Fallback Codec: AAC (Advanced Audio Coding) - When PCM is not suitable
  • Sample Rate: 48kHz for professional quality
  • Bit Depth: 24-bit for PCM audio
  • Channels: Stereo (2 channels)

Compliance Standards

  • Video Codec: H.264 (AVC) with High Profile
  • Supported Resolutions: 1920x1080, 1280x720, 854x480 (automatic scaling)
  • Frame Rates: 23.976, 24, 25, 29.97, 30, 50, 60 fps
  • Audio: PCM (preferred), ALAC, or AAC with 48kHz sample rate
  • Container: MP4 with proper metadata structure
  • File Handling: Non-destructive processing (originals always preserved)
  • Filename Preservation: Converted files maintain original names

🛠️ Development

Available Make Targets

make help          # Show all available commands
make test          # Run test suite (38 tests)
make lint          # Run formatting and clippy checks
make coverage      # Generate HTML coverage report  
make check         # Run complete quality pipeline
make setup-hooks   # Install pre-commit quality gates

Quality Gates

Every commit is automatically validated against:

  • Formatting: Perfect rustfmt compliance
  • Linting: Zero clippy warnings
  • Testing: All 38 tests must pass
  • Coverage: Maintains >80% line coverage
  • TDG Score: Keeps A-grade (≥90/100)
  • Security: Zero vulnerabilities
  • Technical Debt: No TODO/FIXME markers

Testing

Comprehensive test suite with 81.76% coverage:

  • 27 unit tests covering compliance analysis, metadata extraction, and core functionality
  • 11 integration tests for CLI, argument parsing, and Google Drive integration
  • Error handling tests for all failure scenarios including cloud operations
  • Property-based tests for edge cases and compliance scoring
  • Mock tests for Google Drive API integration

🚦 CI/CD Integration

AWS CodeBuild

Uses buildspec.yml for automated building:

  • Environment: NVIDIA GPU support
  • Dependencies: Rust, FFmpeg, CUDA toolkit
  • Pipeline: Format → Lint → Test → Build → Deploy

Pre-commit Hooks

Automatic quality enforcement via .git/hooks/pre-commit:

  • Blocks commits that don't meet quality standards
  • Provides clear feedback on failures
  • Maintains A-grade code quality automatically

🔧 Troubleshooting

Common Issues & Solutions

Installation Issues

Command not found after installation

# If installed via cargo, add to PATH:
export PATH="$HOME/.cargo/bin:$PATH"
echo 'export PATH="$HOME/.cargo/bin:$PATH"' >> ~/.bashrc

# If installed via make, add to PATH:
export PATH="$HOME/.local/bin:$PATH"
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc

Conversion Issues

"NVIDIA GPU not detected" or conversion fails

# The tool will fall back to CPU encoding if GPU is not available
# To check if NVIDIA GPU is available:
nvidia-smi

# If you don't have NVIDIA GPU, conversions will still work but slower
# The tool automatically detects and uses available hardware

"FFmpeg error" during conversion

# Ensure FFmpeg is installed:
sudo apt update && sudo apt install ffmpeg  # Ubuntu/Debian
brew install ffmpeg                          # macOS

# Verify FFmpeg installation:
ffmpeg -version

"No videos found" error

# Check supported formats (MP4, AVI, MOV):
ls -la *.{mp4,avi,mov} 2>/dev/null

# Note: The tool is case-sensitive for extensions
# Rename if needed:
for f in *.MP4; do mv "$f" "${f%.MP4}.mp4"; done

Audio Issues

DaVinci Resolve still can't read audio

# Verify the audio is PCM:
ffprobe -v error -select_streams a:0 -show_entries stream=codec_name your_video.mp4

# Should show: codec_name=pcm_s24le
# If not, re-run conversion:
mp4converter --dir . --convert --compliance

Audio sync issues after conversion

# This is rare but can happen with variable frame rate videos
# Solution: Ensure constant frame rate during recording
# OBS Settings: Settings → Video → FPS: 30 (not VFR)

Performance Issues

Conversion is very slow

# Without GPU acceleration, conversion uses CPU
# Tips to speed up:
# 1. Close other applications
# 2. Process fewer files at once
# 3. Consider upgrading to a system with NVIDIA GPU

# Check system resources:
htop  # or top

Out of disk space during conversion

# Check available space:
df -h .

# Converted files can be large (PCM audio is uncompressed)
# Rule of thumb: Need 2x the size of original videos
# Solution: Free up space or use external drive

FAQ

Q: Why PCM audio instead of AAC? A: PCM provides lossless audio quality and is required for DaVinci Resolve on Linux. It's the professional standard for content delivery.

Q: Can I use this without an NVIDIA GPU? A: Yes! The tool will automatically use CPU encoding if GPU is not available. It's slower but works perfectly.

Q: Will this reduce my video quality? A: No, the tool uses high-quality encoding settings (CQ 18) that maintain near-lossless quality.

Q: Why are my converted files larger? A: PCM audio is uncompressed, making files larger but maintaining perfect audio quality. This is ideal for editing and professional delivery.

📊 Performance

Benchmarks

  • Hardware: RTX 3080, 32GB RAM, NVMe SSD
  • Input: 1080p H.264 video files
  • Performance: ~300 FPS encoding speed (real-time playback: 30 FPS)
  • Quality: Near-lossless output with 30-50% size reduction

Scaling

  • Batch Processing: Handles hundreds of files efficiently
  • Memory Usage: Low memory footprint (~100MB base)
  • GPU Utilization: Maximizes NVENC encoder usage

🤝 Contributing

This project maintains A-grade quality standards. All contributions must:

  1. Pass pre-commit hooks (automatic quality validation)
  2. Maintain test coverage above 80%
  3. Keep TDG score above 90/100 (A grade)
  4. Add tests for new functionality
  5. Follow Rust best practices and project conventions

📄 License

This project is licensed under the terms specified in the LICENSE file.

🚀 Uninstall

make uninstall

Built with ❤️ using Rust and NVIDIA CUDA for maximum performance and reliability.

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