Build System Features

Complete build and interactive CLI system for the Video-to-Knowledge Pipeline.

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🆕 New Components

1. Interactive Build Script (build.py)

Features:

• ✅ System requirement checks (Python, FFmpeg, RAM, Disk, CUDA)
• 📦 Virtual environment creation and management
• 📥 Whisper model downloads (tiny, base, small, medium, large-v3)
• 🔑 Interactive API key configuration
• 🚀 Launcher script creation
• ✅ Installation verification

Usage:

python build.py              # Full interactive setup
python build.py --quick      # Quick setup with defaults
python build.py --check      # Check requirements only
python build.py --clean      # Clean build artifacts
python build.py --models small medium  # Download specific models

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2. One-Line Installer (install.sh)

Features:

• 🔧 Automated environment setup
• 📦 Dependency installation
• 🎯 Creates video-pipeline and vp commands
• 🔗 Adds to PATH automatically

Usage:

# From repository
./install.sh

# Or via curl (when published)
curl -sSL https://example.com/install.sh | bash

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3. Makefile

Targets:

Command	Description
make install	Full interactive installation
make quick	Quick setup
make check	System requirements check
make models	Download Whisper models
make clean	Clean artifacts
make run	Run interactive mode
make test	Run tests
make lint	Run linters
make all	Complete setup

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4. Enhanced Main CLI (src/main_cli.py)

Features:

• 🎨 Rich UI with banners and tables
• 🚀 Quick Start Wizard for first-time users
• 📊 System status dashboard
• 🔄 Automatic setup detection

Commands:

vp                          # Launch interactive mode
vp quickstart              # Run setup wizard
vp process <url>           # Process video
vp models                  # Manage models
vp config                  # Show configuration
vp deck <file.html>        # Open presentation

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5. Interactive CLI (src/interactive_cli.py)

Features:

• 🎬 Process new video (full wizard)
• ⚡ Quick process (saved defaults)
• 📦 Model management
• ⚙️ Configuration management
• 💾 Persistent settings

Configuration Location:

• Config: ~/.config/video-pipeline/config.json
• Cache: ~/.cache/whisper/

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6. Model Manager (src/model_manager.py)

Features:

• 📊 Model listing with specs
• ⬇️ Individual model downloads
• ⬇️ Batch downloads
• 🧹 Cache management
• 🎯 Auto-selection recommendations

Interactive Interface:

Whisper Model Manager

| Model    | RAM  | Speed | Accuracy | Status      |
|----------|------|-------|----------|-------------|
| tiny     | 0.5GB| 32x   | 58%      | ○ Not installed |
| base     | 1GB  | 16x   | 68%      | ✓ Installed     |
| small    | 2GB  | 6x    | 76%      | ✓ Installed     |

Options:
1. Download specific model
2. Download recommended models (base, small, medium)
3. Download all models
4. Clean cache
5. Exit

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🔧 System Requirements Check

Checked Components:

1. Python Version (3.9+ required)
2. FFmpeg (required for audio/video)
3. Disk Space (10GB recommended)
4. RAM (4GB minimum, 8GB+ recommended)
5. CUDA/GPU (optional, for faster processing)

Output Format:

┌─────────────────────────────────┐
│ System Check Results            │
├───────────┬────────┬────────────┤
│ Component │ Status │ Details    │
├───────────┼────────┼────────────┤
│ PYTHON    │ ✅ Pass│ 3.11.0     │
│ FFMPEG    │ ✅ Pass│ Installed  │
│ DISK      │ ✅ Pass│ 145GB free │
│ RAM       │ ✅ Pass│ 16GB total │
│ CUDA      │ ✅ Pass│ Available  │
└───────────┴────────┴────────────┘

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🎯 Quick Start Wizard

Steps:

1. Welcome Banner

   ╔════════════════════════════════════════════╗
   ║                                            ║
   ║        📽️  Video-to-Knowledge Pipeline     ║
   ║                                            ║
   ╚════════════════════════════════════════════╝

2. System Check

   • Auto-detects hardware
   • Shows recommendations

3. Model Download

   • Recommends model based on RAM
   • Shows download progress

4. API Configuration

   • Prompts for Kimi/Claude keys
   • Offers to save to shell config

5. First Video

   • Optionally processes video immediately

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📁 File Structure

video_analysis_pipeline/
├── build.py              # Main build script
├── install.sh            # One-line installer
├── Makefile              # Make targets
├── setup.py              # Python package setup
├── BUILD_README.md       # Build documentation
├── BUILD_FEATURES.md     # This file
├── config.example.json   # Config template
│
├── src/
│   ├── main_cli.py       # Enhanced CLI entry
│   ├── interactive_cli.py # Interactive menu
│   ├── model_manager.py  # Model management
│   └── ...
│
└── docs/
    └── 00_document_inventory.md

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🚀 Usage Examples

First Time Setup

# Interactive setup
python build.py

# Or with make
make install

Quick Process

# After setup, process a video
vp process "https://youtube.com/watch?v=..."

# With options
vp process "video.mp4" --whisper-model small --vision kimi --deck

Model Management

# List available models
vp models

# Download specific model
python build.py --models small

# Interactive model manager
python -m src.model_manager

Configuration

# Show current config
vp config

# Reset configuration
vp config --reset

# Or edit directly
nano ~/.config/video-pipeline/config.json

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🛠️ Development

# Setup development environment
make install
source .venv/bin/activate

# Run tests
make test

# Check code
make lint
make typecheck

# Clean and rebuild
make clean
make build

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📝 Configuration File

Location: ~/.config/video-pipeline/config.json

Example:

{
  "version": "1.2.0",
  "last_url": "https://...",
  "whisper_model": "small",
  "whisper_priority": "balanced",
  "frame_rate": 0.5,
  "vision_provider": "kimi",
  "create_deck": true,
  "deck_format": "html",
  "setup_complete": true
}

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🔐 Environment Variables

# Required (one of):
export KIMI_API_KEY="..."
export ANTHROPIC_API_KEY="..."

# Optional:
export OPENAI_API_KEY="..."
export SERPER_API_KEY="..."

# Whisper configuration:
export WHISPER_MODEL_SIZE=medium
export WHISPER_PRIORITY=quality
export WHISPER_DEVICE=cuda

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🎉 Success Indicators

After successful installation:

============================================================
🎉 Setup Complete!
============================================================

Next steps:
  1. Source your shell config: source ~/.bashrc
  2. Run interactive mode: python -m src.pipeline
  3. Or use launcher: ./vp

Quick start:
  ./vp process "https://youtube.com/watch?v=..."
============================================================

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See BUILD_README.md for detailed installation instructions.