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video-processor/docs/reference/CHANGELOG.md
Ryan Malloy 840bd34f29 🎬 Video Processor v0.4.0 - Complete Multimedia Processing Platform 
Professional video processing pipeline with AI analysis, 360° processing,
and adaptive streaming capabilities.

✨ Core Features:
• AI-powered content analysis with scene detection and quality assessment
• Next-generation codec support (AV1, HEVC, HDR10)
• Adaptive streaming (HLS/DASH) with smart bitrate ladders
• Complete 360° video processing with multiple projection support
• Spatial audio processing (Ambisonic, binaural, object-based)
• Viewport-adaptive streaming with up to 75% bandwidth savings
• Professional testing framework with video-themed HTML dashboards

🏗️ Architecture:
• Modern Python 3.11+ with full type hints
• Pydantic-based configuration with validation
• Async processing with Procrastinate task queue
• Comprehensive test coverage with 11 detailed examples
• Professional documentation structure

🚀 Production Ready:
• MIT License for open source use
• PyPI-ready package metadata
• Docker support for scalable deployment
• Quality assurance with ruff, mypy, and pytest
• Comprehensive example library

From simple encoding to immersive experiences - complete multimedia
processing platform for modern applications.
2025-09-22 01:18:49 -06:00

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.3.0] - 2024-12-XX

🎉 Major Release: Complete Test Infrastructure Overhaul

This release represents a massive enhancement to the testing infrastructure, transforming the project from basic functionality to a production-ready, comprehensively tested video processing library.

✨ Added

🧪 Comprehensive Test Framework

  • End-to-end Docker integration tests with PostgreSQL and Procrastinate workers
  • 108+ generated test video fixtures covering all scenarios:
    • Edge cases (single frame, unusual resolutions, extreme aspect ratios)
    • Multiple codecs (H.264, H.265, VP8, VP9, Theora, MPEG4)
    • Audio variations (mono/stereo, different sample rates, no audio, audio-only)
    • Visual patterns (SMPTE bars, RGB test, YUV test, checkerboard)
    • Motion tests (rotation, camera shake, scene changes)
    • Stress tests (high complexity scenes, noise patterns)
  • Synthetic video generator for creating specific test scenarios
  • Open source video downloader for Creative Commons test content
  • Test suite manager with categorized test collections

🐳 Docker & DevOps Infrastructure

  • Complete Docker Compose integration testing environment
  • GitHub Actions CI/CD pipeline with comprehensive test matrix
  • Makefile with simplified developer workflows
  • Multi-stage Docker builds with uv optimization
  • Database migration testing in containerized environment

📊 Test Coverage Improvements

  • Perfect API compatibility - 0 failing tests (was 17 failing)
  • 52 passing unit tests (improved from 35)
  • 144 total tests across the entire project
  • Complete mocking strategy for FFmpeg integration
  • Edge case handling for all video processing scenarios

🔧 Developer Experience

  • Comprehensive test fixtures for realistic testing scenarios
  • Integration test examples for video processing workflows
  • Enhanced error handling with proper exception hierarchies
  • Production-ready configuration examples

🛠️ Technical Improvements

Testing Architecture

  • Sophisticated mocking for FFmpeg fluent API chains
  • Proper pathlib.Path mocking for file system operations
  • Comprehensive sprite generation testing with FixedSpriteGenerator
  • Thumbnail generation testing with timestamp adjustment logic
  • Error scenario testing for corrupted files and edge cases

Infrastructure

  • Docker service orchestration for isolated testing
  • PostgreSQL integration with automated migration testing
  • Procrastinate worker testing with async job processing
  • Version compatibility testing for 2.x/3.x migration scenarios

🔄 Changed

  • Test suite organization - reorganized into logical categories
  • Mock implementations - improved to match actual API behavior
  • Exception handling - aligned with actual codebase structure
  • Configuration validation - enhanced with comprehensive test coverage

📋 Migration Guide

For Developers

  1. Enhanced Testing: The test suite now provides comprehensive coverage
  2. Docker Integration: Use make test-docker for full integration testing
  3. CI/CD Ready: GitHub Actions workflow automatically tests all scenarios
  4. Test Fixtures: 108+ video files available for realistic testing scenarios

Running the New Test Suite

# Quick unit tests
uv run pytest tests/unit/

# Full integration testing with Docker
make test-docker

# Specific test categories
uv run pytest -m "smoke"    # Quick smoke tests
uv run pytest -m "edge_cases"  # Edge case testing

🎯 Test Results Summary

  • Before: 17 failed, 35 passed, 7 skipped
  • After: 52 passed, 7 skipped, 0 failed
  • Improvement: 100% of previously failing tests now pass
  • Coverage: Complete video processing pipeline testing

🚀 Production Readiness

This release establishes the project as production-ready with:

  • ✅ Comprehensive test coverage for all functionality
  • ✅ Complete Docker integration testing environment
  • ✅ CI/CD pipeline for automated quality assurance
  • ✅ Realistic test scenarios with 108+ video fixtures
  • ✅ Perfect API compatibility with zero failing tests

[0.2.0] - Previous Release

Added

  • Comprehensive 360° video processing support
  • Procrastinate 3.x compatibility with 2.x backward compatibility
  • Enhanced error handling and logging

Changed

  • Improved video processing pipeline
  • Updated dependencies and configuration

[0.1.0] - Initial Release

Added

  • Basic video processing functionality
  • Thumbnail and sprite generation
  • Multiple output format support
  • Docker containerization