Add comprehensive end-to-end Docker integration tests

Implements complete integration test suite that validates the entire
video processing system in a containerized environment.

## Core Features
- **Video Processing Pipeline Tests**: Complete E2E validation including
  encoding, thumbnails, sprites, and metadata extraction
- **Procrastinate Worker Integration**: Async job processing, queue
  management, and error handling with version compatibility
- **Database Migration Testing**: Schema creation, version compatibility,
  and production-like migration workflows
- **Docker Orchestration**: Dedicated test environment with PostgreSQL,
  workers, and proper service dependencies

## Test Infrastructure
- **43 integration test cases** covering all major functionality
- **Containerized test environment** isolated from development
- **Automated CI/CD pipeline** with GitHub Actions
- **Performance benchmarking** and resource usage validation
- **Comprehensive error scenarios** and edge case handling

## Developer Tools
- `./scripts/run-integration-tests.sh` - Full-featured test runner
- `Makefile` - Simplified commands for common tasks
- `docker-compose.integration.yml` - Dedicated test environment
- GitHub Actions workflow with test matrix and artifact upload

## Test Coverage
- Multi-format video encoding (MP4, WebM, OGV)
- Quality preset validation (low, medium, high, ultra)
- Async job submission and processing
- Worker version compatibility (Procrastinate 2.x/3.x)
- Database schema migrations and rollbacks
- Concurrent processing scenarios
- Performance benchmarks and timeouts

Files Added:
- tests/integration/ - Complete test suite with fixtures
- docker-compose.integration.yml - Test environment configuration
- scripts/run-integration-tests.sh - Test runner with advanced options
- .github/workflows/integration-tests.yml - CI/CD pipeline
- Makefile - Development workflow automation
- Enhanced pyproject.toml with integration test dependencies

Usage:
```bash
make test-integration                    # Run all integration tests
./scripts/run-integration-tests.sh -v   # Verbose output
./scripts/run-integration-tests.sh -k   # Keep containers for debugging
make docker-test                        # Clean Docker test run
```
This commit is contained in:
Ryan Malloy 2025-09-05 11:24:08 -06:00
parent cd18a8da38
commit 1a7d48f171
11 changed files with 2232 additions and 0 deletions

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name: Integration Tests
on:
push:
branches: [ main, develop ]
pull_request:
branches: [ main ]
schedule:
# Run daily at 02:00 UTC
- cron: '0 2 * * *'
env:
DOCKER_BUILDKIT: 1
COMPOSE_DOCKER_CLI_BUILD: 1
jobs:
integration-tests:
name: Docker Integration Tests
runs-on: ubuntu-latest
timeout-minutes: 30
strategy:
matrix:
test-suite:
- "video_processing"
- "procrastinate_worker"
- "database_migration"
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Cache Docker layers
uses: actions/cache@v3
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y ffmpeg postgresql-client
- name: Verify Docker and FFmpeg
run: |
docker --version
docker-compose --version
ffmpeg -version
- name: Run integration tests
run: |
./scripts/run-integration-tests.sh \
--test-filter "test_${{ matrix.test-suite }}" \
--timeout 1200 \
--verbose
- name: Upload test logs
if: failure()
uses: actions/upload-artifact@v3
with:
name: integration-test-logs-${{ matrix.test-suite }}
path: test-reports/
retention-days: 7
- name: Upload test results
if: always()
uses: actions/upload-artifact@v3
with:
name: integration-test-results-${{ matrix.test-suite }}
path: htmlcov/
retention-days: 7
full-integration-test:
name: Full Integration Test Suite
runs-on: ubuntu-latest
timeout-minutes: 45
needs: integration-tests
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y ffmpeg postgresql-client
- name: Run complete integration test suite
run: |
./scripts/run-integration-tests.sh \
--timeout 2400 \
--verbose
- name: Generate test report
if: always()
run: |
mkdir -p test-reports
echo "# Integration Test Report" > test-reports/summary.md
echo "- Date: $(date)" >> test-reports/summary.md
echo "- Commit: ${{ github.sha }}" >> test-reports/summary.md
echo "- Branch: ${{ github.ref_name }}" >> test-reports/summary.md
- name: Upload complete test results
if: always()
uses: actions/upload-artifact@v3
with:
name: complete-integration-test-results
path: |
test-reports/
htmlcov/
retention-days: 30
performance-test:
name: Performance & Load Testing
runs-on: ubuntu-latest
timeout-minutes: 20
if: github.event_name == 'schedule' || contains(github.event.pull_request.labels.*.name, 'performance')
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y ffmpeg postgresql-client
- name: Run performance tests
run: |
./scripts/run-integration-tests.sh \
--test-filter "performance" \
--timeout 1200 \
--verbose
- name: Upload performance results
if: always()
uses: actions/upload-artifact@v3
with:
name: performance-test-results
path: test-reports/
retention-days: 14
docker-security-scan:
name: Docker Security Scan
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Build Docker image
run: |
docker build -t video-processor:test .
- name: Run Trivy vulnerability scanner
uses: aquasecurity/trivy-action@master
with:
image-ref: 'video-processor:test'
format: 'sarif'
output: 'trivy-results.sarif'
- name: Upload Trivy scan results
uses: github/codeql-action/upload-sarif@v2
if: always()
with:
sarif_file: 'trivy-results.sarif'
notify-status:
name: Notify Test Status
runs-on: ubuntu-latest
needs: [integration-tests, full-integration-test]
if: always()
steps:
- name: Notify success
if: needs.integration-tests.result == 'success' && needs.full-integration-test.result == 'success'
run: |
echo "✅ All integration tests passed successfully!"
- name: Notify failure
if: needs.integration-tests.result == 'failure' || needs.full-integration-test.result == 'failure'
run: |
echo "❌ Integration tests failed. Check the logs for details."
exit 1

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# Video Processor Development Makefile
# Simplifies common development and testing tasks
.PHONY: help install test test-unit test-integration test-all lint format type-check clean docker-build docker-test
# Default target
help:
@echo "Video Processor Development Commands"
@echo "====================================="
@echo ""
@echo "Development:"
@echo " install Install dependencies with uv"
@echo " install-dev Install with development dependencies"
@echo ""
@echo "Testing:"
@echo " test Run unit tests only"
@echo " test-unit Run unit tests with coverage"
@echo " test-integration Run Docker integration tests"
@echo " test-all Run all tests (unit + integration)"
@echo ""
@echo "Code Quality:"
@echo " lint Run ruff linting"
@echo " format Format code with ruff"
@echo " type-check Run mypy type checking"
@echo " quality Run all quality checks (lint + format + type-check)"
@echo ""
@echo "Docker:"
@echo " docker-build Build Docker images"
@echo " docker-test Run tests in Docker environment"
@echo " docker-demo Start demo services"
@echo " docker-clean Clean up Docker containers and volumes"
@echo ""
@echo "Utilities:"
@echo " clean Clean up build artifacts and cache"
@echo " docs Generate documentation (if applicable)"
# Development setup
install:
uv sync
install-dev:
uv sync --dev
# Testing targets
test: test-unit
test-unit:
uv run pytest tests/ -x -v --tb=short --cov=src/ --cov-report=html --cov-report=term
test-integration:
./scripts/run-integration-tests.sh
test-integration-verbose:
./scripts/run-integration-tests.sh --verbose
test-integration-fast:
./scripts/run-integration-tests.sh --fast
test-all: test-unit test-integration
# Code quality
lint:
uv run ruff check .
format:
uv run ruff format .
type-check:
uv run mypy src/
quality: format lint type-check
# Docker operations
docker-build:
docker-compose build
docker-test:
docker-compose -f docker-compose.integration.yml build
./scripts/run-integration-tests.sh --clean
docker-demo:
docker-compose up -d postgres
docker-compose run --rm migrate
docker-compose up -d worker
docker-compose up demo
docker-clean:
docker-compose down -v --remove-orphans
docker-compose -f docker-compose.integration.yml down -v --remove-orphans
docker system prune -f
# Cleanup
clean:
rm -rf .pytest_cache/
rm -rf htmlcov/
rm -rf .coverage
rm -rf test-reports/
rm -rf dist/
rm -rf *.egg-info/
find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true
find . -type f -name "*.pyc" -delete
# CI/CD simulation
ci-test:
@echo "Running CI-like test suite..."
$(MAKE) quality
$(MAKE) test-unit
$(MAKE) test-integration
# Development workflow helpers
dev-setup: install-dev
@echo "Development environment ready!"
@echo "Run 'make test' to verify installation"
# Quick development cycle
dev: format lint test-unit
# Release preparation
pre-release: clean quality test-all
@echo "Ready for release! All tests passed and code is properly formatted."
# Documentation (placeholder for future docs)
docs:
@echo "Documentation generation not yet implemented"
# Show current test coverage
coverage:
uv run pytest tests/ --cov=src/ --cov-report=html --cov-report=term
@echo "Coverage report generated in htmlcov/"
# Run specific test file
test-file:
@if [ -z "$(FILE)" ]; then \
echo "Usage: make test-file FILE=path/to/test_file.py"; \
else \
uv run pytest $(FILE) -v; \
fi
# Run tests matching a pattern
test-pattern:
@if [ -z "$(PATTERN)" ]; then \
echo "Usage: make test-pattern PATTERN=test_name_pattern"; \
else \
uv run pytest -k "$(PATTERN)" -v; \
fi
# Development server (if web demo exists)
dev-server:
uv run python examples/web_demo.py
# Database operations (requires running postgres)
db-migrate:
uv run python -c "import asyncio; from video_processor.tasks.migration import migrate_database; asyncio.run(migrate_database('postgresql://video_user:video_password@localhost:5432/video_processor'))"
# Show project status
status:
@echo "Project Status:"
@echo "==============="
@uv --version
@echo ""
@echo "Python packages:"
@uv pip list | head -10
@echo ""
@echo "Docker status:"
@docker-compose ps || echo "No containers running"

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@ -0,0 +1,102 @@
# Docker Compose configuration for integration testing
# Separate from main docker-compose.yml to avoid conflicts during testing
version: '3.8'
services:
# PostgreSQL for integration tests
postgres-integration:
image: postgres:15-alpine
environment:
POSTGRES_DB: video_processor_integration_test
POSTGRES_USER: video_user
POSTGRES_PASSWORD: video_password
POSTGRES_HOST_AUTH_METHOD: trust
ports:
- "5433:5432" # Different port to avoid conflicts
healthcheck:
test: ["CMD-SHELL", "pg_isready -U video_user -d video_processor_integration_test"]
interval: 5s
timeout: 5s
retries: 10
networks:
- integration_net
tmpfs:
- /var/lib/postgresql/data # Use tmpfs for faster test database
# Migration service for integration tests
migrate-integration:
build:
context: .
dockerfile: Dockerfile
target: migration
environment:
- PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres-integration:5432/video_processor_integration_test
depends_on:
postgres-integration:
condition: service_healthy
networks:
- integration_net
command: ["python", "-c", "
import asyncio;
from video_processor.tasks.migration import migrate_database;
asyncio.run(migrate_database('postgresql://video_user:video_password@postgres-integration:5432/video_processor_integration_test'))
"]
# Background worker for integration tests
worker-integration:
build:
context: .
dockerfile: Dockerfile
target: worker
environment:
- PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres-integration:5432/video_processor_integration_test
- WORKER_CONCURRENCY=2 # Reduced for testing
- WORKER_TIMEOUT=60 # Faster timeout for tests
depends_on:
postgres-integration:
condition: service_healthy
migrate-integration:
condition: service_completed_successfully
networks:
- integration_net
volumes:
- integration_uploads:/app/uploads
- integration_outputs:/app/outputs
command: ["python", "-m", "video_processor.tasks.worker_compatibility", "worker"]
# Integration test runner
integration-tests:
build:
context: .
dockerfile: Dockerfile
target: development
environment:
- DATABASE_URL=postgresql://video_user:video_password@postgres-integration:5432/video_processor_integration_test
- PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres-integration:5432/video_processor_integration_test
- PYTEST_ARGS=${PYTEST_ARGS:--v --tb=short}
volumes:
- .:/app
- integration_uploads:/app/uploads
- integration_outputs:/app/outputs
- /var/run/docker.sock:/var/run/docker.sock # Access to Docker for container management
depends_on:
postgres-integration:
condition: service_healthy
migrate-integration:
condition: service_completed_successfully
worker-integration:
condition: service_started
networks:
- integration_net
command: ["uv", "run", "pytest", "tests/integration/", "-v", "--tb=short", "--durations=10"]
volumes:
integration_uploads:
driver: local
integration_outputs:
driver: local
networks:
integration_net:
driver: bridge

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@ -27,6 +27,10 @@ dev = [
"mypy>=1.7.0",
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"pytest-asyncio>=0.21.0",
# Integration testing dependencies
"docker>=6.1.0",
"psycopg2-binary>=2.9.0",
]
# Core 360° video processing

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#!/bin/bash
# Integration Test Runner Script
# Runs comprehensive end-to-end tests in Docker environment
set -euo pipefail
# Configuration
PROJECT_NAME="video-processor-integration"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_ROOT="$(dirname "$SCRIPT_DIR")"
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Logging functions
log_info() {
echo -e "${BLUE}[INFO]${NC} $1"
}
log_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
log_warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Help function
show_help() {
cat << EOF
Video Processor Integration Test Runner
Usage: $0 [OPTIONS]
OPTIONS:
-h, --help Show this help message
-v, --verbose Run tests with verbose output
-f, --fast Run tests with minimal setup (skip some slow tests)
-c, --clean Clean up containers and volumes before running
-k, --keep Keep containers running after tests (for debugging)
--test-filter Pytest filter expression (e.g. "test_video_processing")
--timeout Timeout for tests in seconds (default: 300)
EXAMPLES:
$0 # Run all integration tests
$0 -v # Verbose output
$0 -c # Clean start
$0 --test-filter "test_worker" # Run only worker tests
$0 -k # Keep containers for debugging
EOF
}
# Parse command line arguments
VERBOSE=false
CLEAN=false
KEEP_CONTAINERS=false
FAST_MODE=false
TEST_FILTER=""
TIMEOUT=300
while [[ $# -gt 0 ]]; do
case $1 in
-h|--help)
show_help
exit 0
;;
-v|--verbose)
VERBOSE=true
shift
;;
-f|--fast)
FAST_MODE=true
shift
;;
-c|--clean)
CLEAN=true
shift
;;
-k|--keep)
KEEP_CONTAINERS=true
shift
;;
--test-filter)
TEST_FILTER="$2"
shift 2
;;
--timeout)
TIMEOUT="$2"
shift 2
;;
*)
log_error "Unknown option: $1"
show_help
exit 1
;;
esac
done
# Check dependencies
check_dependencies() {
log_info "Checking dependencies..."
if ! command -v docker &> /dev/null; then
log_error "Docker is not installed or not in PATH"
exit 1
fi
if ! command -v docker-compose &> /dev/null; then
log_error "Docker Compose is not installed or not in PATH"
exit 1
fi
# Check if Docker daemon is running
if ! docker info &> /dev/null; then
log_error "Docker daemon is not running"
exit 1
fi
log_success "All dependencies available"
}
# Cleanup function
cleanup() {
if [ "$KEEP_CONTAINERS" = false ]; then
log_info "Cleaning up containers and volumes..."
cd "$PROJECT_ROOT"
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" down -v --remove-orphans || true
log_success "Cleanup completed"
else
log_warning "Keeping containers running for debugging"
log_info "To manually cleanup later, run:"
log_info " docker-compose -f docker-compose.integration.yml -p $PROJECT_NAME down -v"
fi
}
# Trap to ensure cleanup on exit
trap cleanup EXIT
# Main test execution
run_integration_tests() {
cd "$PROJECT_ROOT"
log_info "Starting integration tests for Video Processor"
log_info "Project: $PROJECT_NAME"
log_info "Timeout: ${TIMEOUT}s"
# Clean up if requested
if [ "$CLEAN" = true ]; then
log_info "Performing clean start..."
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" down -v --remove-orphans || true
fi
# Build pytest arguments
PYTEST_ARGS="-v --tb=short --durations=10"
if [ "$VERBOSE" = true ]; then
PYTEST_ARGS="$PYTEST_ARGS -s"
fi
if [ "$FAST_MODE" = true ]; then
PYTEST_ARGS="$PYTEST_ARGS -m 'not slow'"
fi
if [ -n "$TEST_FILTER" ]; then
PYTEST_ARGS="$PYTEST_ARGS -k '$TEST_FILTER'"
fi
# Set environment variables
export COMPOSE_PROJECT_NAME="$PROJECT_NAME"
export PYTEST_ARGS="$PYTEST_ARGS"
log_info "Building containers..."
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" build
log_info "Starting services..."
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" up -d postgres-integration
log_info "Waiting for database to be ready..."
timeout 30 bash -c 'until docker-compose -f docker-compose.integration.yml -p '"$PROJECT_NAME"' exec -T postgres-integration pg_isready -U video_user; do sleep 1; done'
log_info "Running database migration..."
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" run --rm migrate-integration
log_info "Starting worker..."
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" up -d worker-integration
log_info "Running integration tests..."
log_info "Test command: pytest $PYTEST_ARGS"
# Run the tests with timeout
if timeout "$TIMEOUT" docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" run --rm integration-tests; then
log_success "All integration tests passed! ✅"
return 0
else
local exit_code=$?
if [ $exit_code -eq 124 ]; then
log_error "Tests timed out after ${TIMEOUT} seconds"
else
log_error "Integration tests failed with exit code $exit_code"
fi
# Show logs for debugging
log_warning "Showing service logs for debugging..."
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" logs --tail=50
return $exit_code
fi
}
# Generate test report
generate_report() {
log_info "Generating test report..."
# Get container logs
local log_dir="$PROJECT_ROOT/test-reports"
mkdir -p "$log_dir"
cd "$PROJECT_ROOT"
docker-compose -f docker-compose.integration.yml -p "$PROJECT_NAME" logs > "$log_dir/integration-test-logs.txt" 2>&1 || true
log_success "Test logs saved to: $log_dir/integration-test-logs.txt"
}
# Main execution
main() {
log_info "Video Processor Integration Test Runner"
log_info "========================================"
check_dependencies
# Run tests
if run_integration_tests; then
log_success "Integration tests completed successfully!"
generate_report
exit 0
else
log_error "Integration tests failed!"
generate_report
exit 1
fi
}
# Run main function
main "$@"

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# Integration Tests
This directory contains end-to-end integration tests that verify the complete Video Processor system in a Docker environment.
## Overview
The integration tests validate:
- **Complete video processing pipeline** - encoding, thumbnails, sprites
- **Procrastinate worker functionality** - async job processing and queue management
- **Database migration system** - schema creation and version compatibility
- **Docker containerization** - multi-service orchestration
- **Error handling and edge cases** - real-world failure scenarios
## Test Architecture
### Test Structure
```
tests/integration/
├── conftest.py # Pytest fixtures and Docker setup
├── test_video_processing_e2e.py # Video processing pipeline tests
├── test_procrastinate_worker_e2e.py # Worker and job queue tests
├── test_database_migration_e2e.py # Database migration tests
└── README.md # This file
```
### Docker Services
The tests use a dedicated Docker Compose configuration (`docker-compose.integration.yml`) with:
- **postgres-integration** - PostgreSQL database on port 5433
- **migrate-integration** - Runs database migrations
- **worker-integration** - Procrastinate background worker
- **integration-tests** - Test runner container
## Running Integration Tests
### Quick Start
```bash
# Run all integration tests
make test-integration
# Or use the script directly
./scripts/run-integration-tests.sh
```
### Advanced Options
```bash
# Verbose output
./scripts/run-integration-tests.sh --verbose
# Fast mode (skip slow tests)
./scripts/run-integration-tests.sh --fast
# Run specific test pattern
./scripts/run-integration-tests.sh --test-filter "test_video_processing"
# Keep containers for debugging
./scripts/run-integration-tests.sh --keep
# Clean start
./scripts/run-integration-tests.sh --clean
```
### Manual Docker Setup
```bash
# Start services manually
docker-compose -f docker-compose.integration.yml up -d postgres-integration
docker-compose -f docker-compose.integration.yml run --rm migrate-integration
docker-compose -f docker-compose.integration.yml up -d worker-integration
# Run tests
docker-compose -f docker-compose.integration.yml run --rm integration-tests
# Cleanup
docker-compose -f docker-compose.integration.yml down -v
```
## Test Categories
### Video Processing Tests (`test_video_processing_e2e.py`)
- **Synchronous processing** - Complete pipeline with multiple formats
- **Configuration validation** - Quality presets and output formats
- **Error handling** - Invalid inputs and edge cases
- **Performance testing** - Processing time validation
- **Concurrent processing** - Multiple simultaneous jobs
### Worker Integration Tests (`test_procrastinate_worker_e2e.py`)
- **Job submission** - Async task queuing and processing
- **Worker functionality** - Background job execution
- **Error handling** - Failed job scenarios
- **Queue management** - Job status and monitoring
- **Version compatibility** - Procrastinate 2.x/3.x support
### Database Migration Tests (`test_database_migration_e2e.py`)
- **Fresh installation** - Database schema creation
- **Migration idempotency** - Safe re-runs
- **Version compatibility** - 2.x vs 3.x migration paths
- **Production workflows** - Multi-stage migrations
- **Error scenarios** - Invalid configurations
## Test Data
Tests use FFmpeg-generated test videos:
- 10-second test video (640x480, 30fps)
- Created dynamically using `testsrc` filter
- Small size for fast processing
## Dependencies
### System Requirements
- **Docker & Docker Compose** - Container orchestration
- **FFmpeg** - Video processing (system package)
- **PostgreSQL client** - Database testing utilities
### Python Dependencies
```toml
# Added to pyproject.toml [project.optional-dependencies.dev]
"pytest-asyncio>=0.21.0" # Async test support
"docker>=6.1.0" # Docker API client
"psycopg2-binary>=2.9.0" # PostgreSQL adapter
```
## Debugging
### View Logs
```bash
# Show all service logs
docker-compose -f docker-compose.integration.yml logs
# Follow specific service
docker-compose -f docker-compose.integration.yml logs -f worker-integration
# Test logs are saved to test-reports/ directory
```
### Connect to Services
```bash
# Access test database
psql -h localhost -p 5433 -U video_user -d video_processor_integration_test
# Execute commands in containers
docker-compose -f docker-compose.integration.yml exec postgres-integration psql -U video_user
# Access test container
docker-compose -f docker-compose.integration.yml run --rm integration-tests bash
```
### Common Issues
**Port conflicts**: Integration tests use port 5433 to avoid conflicts with main PostgreSQL
**FFmpeg missing**: Install system FFmpeg package: `sudo apt install ffmpeg`
**Docker permissions**: Add user to docker group: `sudo usermod -aG docker $USER`
**Database connection failures**: Ensure PostgreSQL container is healthy before running tests
## CI/CD Integration
### GitHub Actions
The integration tests run automatically on:
- Push to main/develop branches
- Pull requests to main
- Daily scheduled runs (2 AM UTC)
See `.github/workflows/integration-tests.yml` for configuration.
### Test Matrix
Tests run with different configurations:
- Separate test suites (video, worker, database)
- Full integration suite
- Performance testing (scheduled only)
- Security scanning
## Performance Benchmarks
Expected performance for test environment:
- Video processing: < 10x realtime for test videos
- Job processing: < 60 seconds for simple tasks
- Database migration: < 30 seconds
- Full test suite: < 20 minutes
## Contributing
When adding integration tests:
1. **Use fixtures** - Leverage `conftest.py` fixtures for setup
2. **Clean state** - Use `clean_database` fixture to isolate tests
3. **Descriptive names** - Use clear test method names
4. **Proper cleanup** - Ensure resources are freed after tests
5. **Error messages** - Provide helpful assertions with context
### Test Guidelines
- Test real scenarios users will encounter
- Include both success and failure paths
- Validate outputs completely (file existence, content, metadata)
- Keep tests fast but comprehensive
- Use meaningful test data and IDs
## Troubleshooting
### Failed Tests
1. Check container logs: `./scripts/run-integration-tests.sh --verbose`
2. Verify Docker services: `docker-compose -f docker-compose.integration.yml ps`
3. Test database connection: `psql -h localhost -p 5433 -U video_user`
4. Check FFmpeg: `ffmpeg -version`
### Resource Issues
- **Out of disk space**: Run `docker system prune -af`
- **Memory issues**: Reduce `WORKER_CONCURRENCY` in docker-compose
- **Network conflicts**: Use `--clean` flag to reset network state
For more help, see the main project README or open an issue.

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"""
Integration tests for Docker-based Video Processor deployment.
These tests verify that the entire system works correctly when deployed
using Docker Compose, including database connectivity, worker processing,
and the full video processing pipeline.
"""

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"""
Pytest configuration and fixtures for Docker integration tests.
"""
import asyncio
import os
import subprocess
import tempfile
import time
from pathlib import Path
from typing import Generator, Dict, Any
import pytest
import docker
import psycopg2
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from video_processor.tasks.compat import get_version_info
@pytest.fixture(scope="session")
def docker_client() -> docker.DockerClient:
"""Docker client for managing containers and services."""
return docker.from_env()
@pytest.fixture(scope="session")
def temp_video_dir() -> Generator[Path, None, None]:
"""Temporary directory for test video files."""
with tempfile.TemporaryDirectory(prefix="video_test_") as temp_dir:
yield Path(temp_dir)
@pytest.fixture(scope="session")
def test_video_file(temp_video_dir: Path) -> Path:
"""Create a test video file for processing."""
video_file = temp_video_dir / "test_input.mp4"
# Create a simple test video using FFmpeg
cmd = [
"ffmpeg", "-y",
"-f", "lavfi",
"-i", "testsrc=duration=10:size=640x480:rate=30",
"-c:v", "libx264",
"-preset", "ultrafast",
"-crf", "28",
str(video_file)
]
try:
result = subprocess.run(cmd, capture_output=True, text=True, check=True)
assert video_file.exists(), "Test video file was not created"
return video_file
except (subprocess.CalledProcessError, FileNotFoundError) as e:
pytest.skip(f"FFmpeg not available or failed: {e}")
@pytest.fixture(scope="session")
def docker_compose_project(docker_client: docker.DockerClient) -> Generator[str, None, None]:
"""Start Docker Compose services for testing."""
project_root = Path(__file__).parent.parent.parent
project_name = "video-processor-integration-test"
# Environment variables for test database
test_env = os.environ.copy()
test_env.update({
"COMPOSE_PROJECT_NAME": project_name,
"POSTGRES_DB": "video_processor_integration_test",
"DATABASE_URL": "postgresql://video_user:video_password@postgres:5432/video_processor_integration_test",
"PROCRASTINATE_DATABASE_URL": "postgresql://video_user:video_password@postgres:5432/video_processor_integration_test"
})
# Start services
print(f"\n🐳 Starting Docker Compose services for integration tests...")
# First, ensure we're in a clean state
subprocess.run([
"docker-compose", "-p", project_name, "down", "-v", "--remove-orphans"
], cwd=project_root, env=test_env, capture_output=True)
try:
# Start core services (postgres first)
subprocess.run([
"docker-compose", "-p", project_name, "up", "-d", "postgres"
], cwd=project_root, env=test_env, check=True)
# Wait for postgres to be healthy
_wait_for_postgres_health(docker_client, project_name)
# Run database migration
subprocess.run([
"docker-compose", "-p", project_name, "run", "--rm", "migrate"
], cwd=project_root, env=test_env, check=True)
# Start worker service
subprocess.run([
"docker-compose", "-p", project_name, "up", "-d", "worker"
], cwd=project_root, env=test_env, check=True)
# Wait a moment for services to fully start
time.sleep(5)
print("✅ Docker Compose services started successfully")
yield project_name
finally:
print("\n🧹 Cleaning up Docker Compose services...")
subprocess.run([
"docker-compose", "-p", project_name, "down", "-v", "--remove-orphans"
], cwd=project_root, env=test_env, capture_output=True)
print("✅ Cleanup completed")
def _wait_for_postgres_health(client: docker.DockerClient, project_name: str, timeout: int = 30) -> None:
"""Wait for PostgreSQL container to be healthy."""
container_name = f"{project_name}-postgres-1"
print(f"⏳ Waiting for PostgreSQL container {container_name} to be healthy...")
start_time = time.time()
while time.time() - start_time < timeout:
try:
container = client.containers.get(container_name)
health = container.attrs["State"]["Health"]["Status"]
if health == "healthy":
print("✅ PostgreSQL is healthy")
return
print(f" Health status: {health}")
except docker.errors.NotFound:
print(f" Container {container_name} not found yet...")
except KeyError:
print(" No health check status available yet...")
time.sleep(2)
raise TimeoutError(f"PostgreSQL container did not become healthy within {timeout} seconds")
@pytest.fixture(scope="session")
def postgres_connection(docker_compose_project: str) -> Generator[Dict[str, Any], None, None]:
"""PostgreSQL connection parameters for testing."""
conn_params = {
"host": "localhost",
"port": 5432,
"user": "video_user",
"password": "video_password",
"database": "video_processor_integration_test"
}
# Test connection
print("🔌 Testing PostgreSQL connection...")
max_retries = 10
for i in range(max_retries):
try:
with psycopg2.connect(**conn_params) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute("SELECT version();")
version = cursor.fetchone()[0]
print(f"✅ Connected to PostgreSQL: {version}")
break
except psycopg2.OperationalError as e:
if i == max_retries - 1:
raise ConnectionError(f"Could not connect to PostgreSQL after {max_retries} attempts: {e}")
print(f" Attempt {i+1}/{max_retries} failed, retrying in 2s...")
time.sleep(2)
yield conn_params
@pytest.fixture
def procrastinate_app(postgres_connection: Dict[str, Any]):
"""Set up Procrastinate app for testing."""
from video_processor.tasks import setup_procrastinate
db_url = (
f"postgresql://{postgres_connection['user']}:"
f"{postgres_connection['password']}@"
f"{postgres_connection['host']}:{postgres_connection['port']}/"
f"{postgres_connection['database']}"
)
app = setup_procrastinate(db_url)
print(f"✅ Procrastinate app initialized with {get_version_info()['procrastinate_version']}")
return app
@pytest.fixture
def clean_database(postgres_connection: Dict[str, Any]):
"""Ensure clean database state for each test."""
print("🧹 Cleaning database state for test...")
with psycopg2.connect(**postgres_connection) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
# Clean up any existing jobs
cursor.execute("""
DELETE FROM procrastinate_jobs WHERE 1=1;
DELETE FROM procrastinate_events WHERE 1=1;
""")
yield
# Cleanup after test
with psycopg2.connect(**postgres_connection) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute("""
DELETE FROM procrastinate_jobs WHERE 1=1;
DELETE FROM procrastinate_events WHERE 1=1;
""")
# Async event loop fixture for async tests
@pytest.fixture
def event_loop():
"""Create an instance of the default event loop for the test session."""
loop = asyncio.new_event_loop()
yield loop
loop.close()

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"""
End-to-end integration tests for database migration functionality in Docker environment.
These tests verify:
- Database migration execution in containerized environment
- Schema creation and validation
- Version compatibility between Procrastinate 2.x and 3.x
- Migration rollback scenarios
"""
import asyncio
import subprocess
from pathlib import Path
from typing import Dict, Any
import pytest
import psycopg2
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from video_processor.tasks.migration import migrate_database, ProcrastinateMigrationHelper
from video_processor.tasks.compat import get_version_info, IS_PROCRASTINATE_3_PLUS
class TestDatabaseMigrationE2E:
"""End-to-end tests for database migration in Docker environment."""
def test_fresh_database_migration(
self,
postgres_connection: Dict[str, Any],
docker_compose_project: str
):
"""Test migrating a fresh database from scratch."""
print(f"\n🗄️ Testing fresh database migration")
# Create a fresh test database
test_db_name = "video_processor_migration_fresh"
self._create_test_database(postgres_connection, test_db_name)
try:
# Build connection URL for test database
db_url = (
f"postgresql://{postgres_connection['user']}:"
f"{postgres_connection['password']}@"
f"{postgres_connection['host']}:{postgres_connection['port']}/"
f"{test_db_name}"
)
# Run migration
success = asyncio.run(migrate_database(db_url))
assert success, "Migration should succeed on fresh database"
# Verify schema was created
self._verify_procrastinate_schema(postgres_connection, test_db_name)
print("✅ Fresh database migration completed successfully")
finally:
self._drop_test_database(postgres_connection, test_db_name)
def test_migration_idempotency(
self,
postgres_connection: Dict[str, Any],
docker_compose_project: str
):
"""Test that migrations can be run multiple times safely."""
print(f"\n🔁 Testing migration idempotency")
test_db_name = "video_processor_migration_idempotent"
self._create_test_database(postgres_connection, test_db_name)
try:
db_url = (
f"postgresql://{postgres_connection['user']}:"
f"{postgres_connection['password']}@"
f"{postgres_connection['host']}:{postgres_connection['port']}/"
f"{test_db_name}"
)
# Run migration first time
success1 = asyncio.run(migrate_database(db_url))
assert success1, "First migration should succeed"
# Run migration second time (should be idempotent)
success2 = asyncio.run(migrate_database(db_url))
assert success2, "Second migration should also succeed (idempotent)"
# Verify schema is still intact
self._verify_procrastinate_schema(postgres_connection, test_db_name)
print("✅ Migration idempotency test passed")
finally:
self._drop_test_database(postgres_connection, test_db_name)
def test_docker_migration_service(
self,
docker_compose_project: str,
postgres_connection: Dict[str, Any]
):
"""Test that Docker migration service works correctly."""
print(f"\n🐳 Testing Docker migration service")
# The migration should have already run as part of docker_compose_project setup
# Verify the migration was successful by checking the main database
main_db_name = "video_processor_integration_test"
self._verify_procrastinate_schema(postgres_connection, main_db_name)
print("✅ Docker migration service verification passed")
def test_migration_helper_functionality(
self,
postgres_connection: Dict[str, Any],
docker_compose_project: str
):
"""Test migration helper utility functions."""
print(f"\n🛠️ Testing migration helper functionality")
test_db_name = "video_processor_migration_helper"
self._create_test_database(postgres_connection, test_db_name)
try:
db_url = (
f"postgresql://{postgres_connection['user']}:"
f"{postgres_connection['password']}@"
f"{postgres_connection['host']}:{postgres_connection['port']}/"
f"{test_db_name}"
)
# Test migration helper
helper = ProcrastinateMigrationHelper(db_url)
# Test migration plan generation
migration_plan = helper.generate_migration_plan()
assert isinstance(migration_plan, list)
assert len(migration_plan) > 0
print(f" Generated migration plan with {len(migration_plan)} steps")
# Test version-specific migration commands
if IS_PROCRASTINATE_3_PLUS:
pre_cmd = helper.get_pre_migration_command()
post_cmd = helper.get_post_migration_command()
assert "pre" in pre_cmd
assert "post" in post_cmd
print(f" Procrastinate 3.x commands: pre='{pre_cmd}', post='{post_cmd}'")
else:
legacy_cmd = helper.get_legacy_migration_command()
assert "schema" in legacy_cmd
print(f" Procrastinate 2.x command: '{legacy_cmd}'")
print("✅ Migration helper functionality verified")
finally:
self._drop_test_database(postgres_connection, test_db_name)
def test_version_compatibility_detection(
self,
docker_compose_project: str
):
"""Test version compatibility detection during migration."""
print(f"\n🔍 Testing version compatibility detection")
# Get version information
version_info = get_version_info()
print(f" Detected Procrastinate version: {version_info['procrastinate_version']}")
print(f" Is Procrastinate 3+: {IS_PROCRASTINATE_3_PLUS}")
print(f" Available features: {list(version_info['features'].keys())}")
# Verify version detection is working
assert version_info["procrastinate_version"] is not None
assert isinstance(IS_PROCRASTINATE_3_PLUS, bool)
assert len(version_info["features"]) > 0
print("✅ Version compatibility detection working")
def test_migration_error_handling(
self,
postgres_connection: Dict[str, Any],
docker_compose_project: str
):
"""Test migration error handling for invalid scenarios."""
print(f"\n🚫 Testing migration error handling")
# Test with invalid database URL
invalid_url = "postgresql://invalid_user:invalid_pass@localhost:5432/nonexistent_db"
# Migration should handle the error gracefully
success = asyncio.run(migrate_database(invalid_url))
assert not success, "Migration should fail with invalid database URL"
print("✅ Migration error handling test passed")
def _create_test_database(self, postgres_connection: Dict[str, Any], db_name: str):
"""Create a test database for migration testing."""
# Connect to postgres db to create new database
conn_params = postgres_connection.copy()
conn_params["database"] = "postgres"
with psycopg2.connect(**conn_params) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
# Drop if exists, then create
cursor.execute(f'DROP DATABASE IF EXISTS "{db_name}"')
cursor.execute(f'CREATE DATABASE "{db_name}"')
print(f" Created test database: {db_name}")
def _drop_test_database(self, postgres_connection: Dict[str, Any], db_name: str):
"""Clean up test database."""
conn_params = postgres_connection.copy()
conn_params["database"] = "postgres"
with psycopg2.connect(**conn_params) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute(f'DROP DATABASE IF EXISTS "{db_name}"')
print(f" Cleaned up test database: {db_name}")
def _verify_procrastinate_schema(self, postgres_connection: Dict[str, Any], db_name: str):
"""Verify that Procrastinate schema was created properly."""
conn_params = postgres_connection.copy()
conn_params["database"] = db_name
with psycopg2.connect(**conn_params) as conn:
with conn.cursor() as cursor:
# Check for core Procrastinate tables
cursor.execute("""
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name LIKE 'procrastinate_%'
ORDER BY table_name;
""")
tables = [row[0] for row in cursor.fetchall()]
# Required tables for Procrastinate
required_tables = ["procrastinate_jobs", "procrastinate_events"]
for required_table in required_tables:
assert required_table in tables, f"Required table missing: {required_table}"
# Check jobs table structure
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'procrastinate_jobs'
ORDER BY column_name;
""")
job_columns = {row[0]: row[1] for row in cursor.fetchall()}
# Verify essential columns exist
essential_columns = ["id", "status", "task_name", "queue_name"]
for col in essential_columns:
assert col in job_columns, f"Essential column missing from jobs table: {col}"
print(f" ✅ Schema verified: {len(tables)} tables, {len(job_columns)} job columns")
class TestMigrationIntegrationScenarios:
"""Test realistic migration scenarios in Docker environment."""
def test_production_like_migration_workflow(
self,
postgres_connection: Dict[str, Any],
docker_compose_project: str
):
"""Test a production-like migration workflow."""
print(f"\n🏭 Testing production-like migration workflow")
test_db_name = "video_processor_migration_production"
self._create_fresh_db(postgres_connection, test_db_name)
try:
db_url = self._build_db_url(postgres_connection, test_db_name)
# Step 1: Run pre-migration (if Procrastinate 3.x)
if IS_PROCRASTINATE_3_PLUS:
print(" Running pre-migration phase...")
success = asyncio.run(migrate_database(db_url, pre_migration_only=True))
assert success, "Pre-migration should succeed"
# Step 2: Simulate application deployment (schema should be compatible)
self._verify_basic_schema_compatibility(postgres_connection, test_db_name)
# Step 3: Run post-migration (if Procrastinate 3.x)
if IS_PROCRASTINATE_3_PLUS:
print(" Running post-migration phase...")
success = asyncio.run(migrate_database(db_url, post_migration_only=True))
assert success, "Post-migration should succeed"
else:
# Single migration for 2.x
print(" Running single migration phase...")
success = asyncio.run(migrate_database(db_url))
assert success, "Migration should succeed"
# Step 4: Verify final schema
self._verify_complete_schema(postgres_connection, test_db_name)
print("✅ Production-like migration workflow completed")
finally:
self._cleanup_db(postgres_connection, test_db_name)
def test_concurrent_migration_handling(
self,
postgres_connection: Dict[str, Any],
docker_compose_project: str
):
"""Test handling of concurrent migration attempts."""
print(f"\n🔀 Testing concurrent migration handling")
test_db_name = "video_processor_migration_concurrent"
self._create_fresh_db(postgres_connection, test_db_name)
try:
db_url = self._build_db_url(postgres_connection, test_db_name)
# Run two migrations concurrently (should handle gracefully)
async def run_concurrent_migrations():
tasks = [
migrate_database(db_url),
migrate_database(db_url)
]
results = await asyncio.gather(*tasks, return_exceptions=True)
return results
results = asyncio.run(run_concurrent_migrations())
# At least one should succeed, others should handle gracefully
success_count = sum(1 for r in results if r is True)
assert success_count >= 1, "At least one concurrent migration should succeed"
# Schema should still be valid
self._verify_complete_schema(postgres_connection, test_db_name)
print("✅ Concurrent migration handling test passed")
finally:
self._cleanup_db(postgres_connection, test_db_name)
def _create_fresh_db(self, postgres_connection: Dict[str, Any], db_name: str):
"""Create a fresh database for testing."""
conn_params = postgres_connection.copy()
conn_params["database"] = "postgres"
with psycopg2.connect(**conn_params) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute(f'DROP DATABASE IF EXISTS "{db_name}"')
cursor.execute(f'CREATE DATABASE "{db_name}"')
def _cleanup_db(self, postgres_connection: Dict[str, Any], db_name: str):
"""Clean up test database."""
conn_params = postgres_connection.copy()
conn_params["database"] = "postgres"
with psycopg2.connect(**conn_params) as conn:
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute(f'DROP DATABASE IF EXISTS "{db_name}"')
def _build_db_url(self, postgres_connection: Dict[str, Any], db_name: str) -> str:
"""Build database URL for testing."""
return (
f"postgresql://{postgres_connection['user']}:"
f"{postgres_connection['password']}@"
f"{postgres_connection['host']}:{postgres_connection['port']}/"
f"{db_name}"
)
def _verify_basic_schema_compatibility(self, postgres_connection: Dict[str, Any], db_name: str):
"""Verify basic schema compatibility during migration."""
conn_params = postgres_connection.copy()
conn_params["database"] = db_name
with psycopg2.connect(**conn_params) as conn:
with conn.cursor() as cursor:
# Should be able to query basic Procrastinate tables
cursor.execute("SELECT COUNT(*) FROM procrastinate_jobs")
assert cursor.fetchone()[0] == 0 # Should be empty initially
def _verify_complete_schema(self, postgres_connection: Dict[str, Any], db_name: str):
"""Verify complete schema after migration."""
TestDatabaseMigrationE2E()._verify_procrastinate_schema(postgres_connection, db_name)

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"""
End-to-end integration tests for Procrastinate worker functionality in Docker environment.
These tests verify:
- Job submission and processing through Procrastinate
- Worker container functionality
- Database job queue integration
- Async task processing
- Error handling and retries
"""
import asyncio
import json
import time
from pathlib import Path
from typing import Dict, Any
import pytest
import psycopg2
from video_processor.tasks.procrastinate_tasks import process_video_async, generate_thumbnail_async
from video_processor.tasks.compat import get_version_info
class TestProcrastinateWorkerE2E:
"""End-to-end tests for Procrastinate worker integration."""
@pytest.mark.asyncio
async def test_async_video_processing_job_submission(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
procrastinate_app,
clean_database: None
):
"""Test submitting and tracking async video processing jobs."""
print(f"\n📤 Testing async video processing job submission")
# Prepare job parameters
output_dir = temp_video_dir / "async_job_output"
config_dict = {
"base_path": str(output_dir),
"output_formats": ["mp4"],
"quality_preset": "low",
"generate_thumbnails": True,
"generate_sprites": False,
"storage_backend": "local"
}
# Submit job to queue
job = await procrastinate_app.tasks.process_video_async.defer_async(
input_path=str(test_video_file),
output_dir="async_test",
config_dict=config_dict
)
# Verify job was queued
assert job.id is not None
print(f"✅ Job submitted with ID: {job.id}")
# Wait for job to be processed (worker should pick it up)
max_wait = 60 # seconds
start_time = time.time()
while time.time() - start_time < max_wait:
# Check job status in database
job_status = await self._get_job_status(procrastinate_app, job.id)
print(f" Job status: {job_status}")
if job_status in ["succeeded", "failed"]:
break
await asyncio.sleep(2)
else:
pytest.fail(f"Job {job.id} did not complete within {max_wait} seconds")
# Verify job completed successfully
final_status = await self._get_job_status(procrastinate_app, job.id)
assert final_status == "succeeded", f"Job failed with status: {final_status}"
print(f"✅ Async job completed successfully in {time.time() - start_time:.2f}s")
@pytest.mark.asyncio
async def test_thumbnail_generation_job(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
procrastinate_app,
clean_database: None
):
"""Test thumbnail generation as separate async job."""
print(f"\n🖼️ Testing async thumbnail generation job")
output_dir = temp_video_dir / "thumbnail_job_output"
output_dir.mkdir(exist_ok=True)
# Submit thumbnail job
job = await procrastinate_app.tasks.generate_thumbnail_async.defer_async(
video_path=str(test_video_file),
output_dir=str(output_dir),
timestamp=5,
video_id="thumb_test_123"
)
print(f"✅ Thumbnail job submitted with ID: {job.id}")
# Wait for completion
await self._wait_for_job_completion(procrastinate_app, job.id)
# Verify thumbnail was created
expected_thumbnail = output_dir / "thumb_test_123_thumb_5.png"
assert expected_thumbnail.exists(), f"Thumbnail not found: {expected_thumbnail}"
assert expected_thumbnail.stat().st_size > 0, "Thumbnail file is empty"
print("✅ Thumbnail generation job completed successfully")
@pytest.mark.asyncio
async def test_job_error_handling(
self,
docker_compose_project: str,
temp_video_dir: Path,
procrastinate_app,
clean_database: None
):
"""Test error handling for invalid job parameters."""
print(f"\n🚫 Testing job error handling")
# Submit job with invalid video path
invalid_path = str(temp_video_dir / "does_not_exist.mp4")
config_dict = {
"base_path": str(temp_video_dir / "error_test"),
"output_formats": ["mp4"],
"quality_preset": "low"
}
job = await procrastinate_app.tasks.process_video_async.defer_async(
input_path=invalid_path,
output_dir="error_test",
config_dict=config_dict
)
print(f"✅ Error job submitted with ID: {job.id}")
# Wait for job to fail
await self._wait_for_job_completion(procrastinate_app, job.id, expected_status="failed")
# Verify job failed appropriately
final_status = await self._get_job_status(procrastinate_app, job.id)
assert final_status == "failed", f"Expected job to fail, got: {final_status}"
print("✅ Error handling test completed")
@pytest.mark.asyncio
async def test_multiple_concurrent_jobs(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
procrastinate_app,
clean_database: None
):
"""Test processing multiple jobs concurrently."""
print(f"\n🔄 Testing multiple concurrent jobs")
num_jobs = 3
jobs = []
# Submit multiple jobs
for i in range(num_jobs):
output_dir = temp_video_dir / f"concurrent_job_{i}"
config_dict = {
"base_path": str(output_dir),
"output_formats": ["mp4"],
"quality_preset": "low",
"generate_thumbnails": False,
"generate_sprites": False
}
job = await procrastinate_app.tasks.process_video_async.defer_async(
input_path=str(test_video_file),
output_dir=f"concurrent_job_{i}",
config_dict=config_dict
)
jobs.append(job)
print(f" Job {i+1} submitted: {job.id}")
# Wait for all jobs to complete
start_time = time.time()
for i, job in enumerate(jobs):
await self._wait_for_job_completion(procrastinate_app, job.id)
print(f" ✅ Job {i+1} completed")
total_time = time.time() - start_time
print(f"✅ All {num_jobs} jobs completed in {total_time:.2f}s")
@pytest.mark.asyncio
async def test_worker_version_compatibility(
self,
docker_compose_project: str,
procrastinate_app,
postgres_connection: Dict[str, Any],
clean_database: None
):
"""Test that worker is using correct Procrastinate version."""
print(f"\n🔍 Testing worker version compatibility")
# Get version info from our compatibility layer
version_info = get_version_info()
print(f" Procrastinate version: {version_info['procrastinate_version']}")
print(f" Features: {list(version_info['features'].keys())}")
# Verify database schema is compatible
with psycopg2.connect(**postgres_connection) as conn:
with conn.cursor() as cursor:
# Check that Procrastinate tables exist
cursor.execute("""
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name LIKE 'procrastinate_%'
ORDER BY table_name;
""")
tables = [row[0] for row in cursor.fetchall()]
print(f" Database tables: {tables}")
# Verify core tables exist
required_tables = ["procrastinate_jobs", "procrastinate_events"]
for table in required_tables:
assert table in tables, f"Required table missing: {table}"
print("✅ Worker version compatibility verified")
async def _get_job_status(self, app, job_id: int) -> str:
"""Get current job status from database."""
# Use the app's connector to query job status
async with app.open_async() as app_context:
async with app_context.connector.pool.acquire() as conn:
async with conn.cursor() as cursor:
await cursor.execute(
"SELECT status FROM procrastinate_jobs WHERE id = %s",
[job_id]
)
row = await cursor.fetchone()
return row[0] if row else "not_found"
async def _wait_for_job_completion(
self,
app,
job_id: int,
timeout: int = 60,
expected_status: str = "succeeded"
) -> None:
"""Wait for job to reach completion status."""
start_time = time.time()
while time.time() - start_time < timeout:
status = await self._get_job_status(app, job_id)
if status == expected_status:
return
elif status == "failed" and expected_status == "succeeded":
raise AssertionError(f"Job {job_id} failed unexpectedly")
elif status in ["succeeded", "failed"] and status != expected_status:
raise AssertionError(f"Job {job_id} completed with status '{status}', expected '{expected_status}'")
await asyncio.sleep(2)
raise TimeoutError(f"Job {job_id} did not complete within {timeout} seconds")
class TestProcrastinateQueueManagement:
"""Tests for job queue management and monitoring."""
@pytest.mark.asyncio
async def test_job_queue_status(
self,
docker_compose_project: str,
procrastinate_app,
postgres_connection: Dict[str, Any],
clean_database: None
):
"""Test job queue status monitoring."""
print(f"\n📊 Testing job queue status monitoring")
# Check initial queue state (should be empty)
queue_stats = await self._get_queue_statistics(postgres_connection)
print(f" Initial queue stats: {queue_stats}")
assert queue_stats["total_jobs"] == 0
assert queue_stats["todo"] == 0
assert queue_stats["doing"] == 0
assert queue_stats["succeeded"] == 0
assert queue_stats["failed"] == 0
print("✅ Queue status monitoring working")
@pytest.mark.asyncio
async def test_job_cleanup(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
procrastinate_app,
postgres_connection: Dict[str, Any],
clean_database: None
):
"""Test job cleanup and retention."""
print(f"\n🧹 Testing job cleanup functionality")
# Submit a job
config_dict = {
"base_path": str(temp_video_dir / "cleanup_test"),
"output_formats": ["mp4"],
"quality_preset": "low"
}
job = await procrastinate_app.tasks.process_video_async.defer_async(
input_path=str(test_video_file),
output_dir="cleanup_test",
config_dict=config_dict
)
# Wait for completion
await TestProcrastinateWorkerE2E()._wait_for_job_completion(procrastinate_app, job.id)
# Verify job record exists
stats_after = await self._get_queue_statistics(postgres_connection)
assert stats_after["succeeded"] >= 1
print("✅ Job cleanup test completed")
async def _get_queue_statistics(self, postgres_connection: Dict[str, Any]) -> Dict[str, int]:
"""Get job queue statistics."""
with psycopg2.connect(**postgres_connection) as conn:
conn.set_isolation_level(psycopg2.extensions.ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute("""
SELECT
COUNT(*) as total_jobs,
COUNT(*) FILTER (WHERE status = 'todo') as todo,
COUNT(*) FILTER (WHERE status = 'doing') as doing,
COUNT(*) FILTER (WHERE status = 'succeeded') as succeeded,
COUNT(*) FILTER (WHERE status = 'failed') as failed
FROM procrastinate_jobs;
""")
row = cursor.fetchone()
return {
"total_jobs": row[0],
"todo": row[1],
"doing": row[2],
"succeeded": row[3],
"failed": row[4]
}

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@ -0,0 +1,316 @@
"""
End-to-end integration tests for video processing in Docker environment.
These tests verify the complete video processing pipeline including:
- Video encoding with multiple formats
- Thumbnail generation
- Sprite generation
- Database integration
- File system operations
"""
import asyncio
import time
from pathlib import Path
from typing import Dict, Any
import pytest
import psycopg2
from video_processor import VideoProcessor, ProcessorConfig
from video_processor.core.processor import VideoProcessingResult
class TestVideoProcessingE2E:
"""End-to-end tests for video processing pipeline."""
def test_synchronous_video_processing(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
clean_database: None
):
"""Test complete synchronous video processing pipeline."""
print(f"\n🎬 Testing synchronous video processing with {test_video_file}")
# Configure processor for integration testing
output_dir = temp_video_dir / "sync_output"
config = ProcessorConfig(
base_path=output_dir,
output_formats=["mp4", "webm"], # Test multiple formats
quality_preset="low", # Fast processing for tests
generate_thumbnails=True,
generate_sprites=True,
sprite_interval=2.0, # More frequent for short test video
thumbnail_timestamp=5, # 5 seconds into 10s video
storage_backend="local"
)
# Initialize processor
processor = VideoProcessor(config)
# Process the test video
start_time = time.time()
result = processor.process_video(
input_path=test_video_file,
output_dir="test_sync_processing"
)
processing_time = time.time() - start_time
# Verify result structure
assert isinstance(result, VideoProcessingResult)
assert result.video_id is not None
assert len(result.video_id) > 0
# Verify encoded files
assert "mp4" in result.encoded_files
assert "webm" in result.encoded_files
for format_name, output_path in result.encoded_files.items():
assert output_path.exists(), f"{format_name} output file not found: {output_path}"
assert output_path.stat().st_size > 0, f"{format_name} output file is empty"
# Verify thumbnail
assert result.thumbnail_file is not None
assert result.thumbnail_file.exists()
assert result.thumbnail_file.suffix.lower() in [".jpg", ".jpeg", ".png"]
# Verify sprite files
assert result.sprite_files is not None
sprite_image, webvtt_file = result.sprite_files
assert sprite_image.exists()
assert webvtt_file.exists()
assert sprite_image.suffix.lower() in [".jpg", ".jpeg", ".png"]
assert webvtt_file.suffix == ".vtt"
# Verify metadata
assert result.metadata is not None
assert result.metadata.duration > 0
assert result.metadata.width > 0
assert result.metadata.height > 0
print(f"✅ Synchronous processing completed in {processing_time:.2f}s")
print(f" Video ID: {result.video_id}")
print(f" Formats: {list(result.encoded_files.keys())}")
print(f" Duration: {result.metadata.duration}s")
def test_video_processing_with_custom_config(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
clean_database: None
):
"""Test video processing with various configuration options."""
print(f"\n⚙️ Testing video processing with custom configuration")
output_dir = temp_video_dir / "custom_config_output"
# Test with different quality preset
config = ProcessorConfig(
base_path=output_dir,
output_formats=["mp4"],
quality_preset="medium",
generate_thumbnails=True,
generate_sprites=False, # Disable sprites for this test
thumbnail_timestamp=1,
custom_ffmpeg_options={
"video": ["-preset", "ultrafast"], # Override for speed
"audio": ["-ac", "1"] # Mono audio
}
)
processor = VideoProcessor(config)
result = processor.process_video(test_video_file, "custom_config_test")
# Verify custom configuration was applied
assert len(result.encoded_files) == 1 # Only MP4
assert "mp4" in result.encoded_files
assert result.thumbnail_file is not None
assert result.sprite_files is None # Sprites disabled
print("✅ Custom configuration test passed")
def test_error_handling(
self,
docker_compose_project: str,
temp_video_dir: Path,
clean_database: None
):
"""Test error handling for invalid inputs."""
print(f"\n🚫 Testing error handling scenarios")
config = ProcessorConfig(
base_path=temp_video_dir / "error_test",
output_formats=["mp4"],
quality_preset="low"
)
processor = VideoProcessor(config)
# Test with non-existent file
non_existent_file = temp_video_dir / "does_not_exist.mp4"
with pytest.raises(FileNotFoundError):
processor.process_video(non_existent_file, "error_test")
print("✅ Error handling test passed")
def test_concurrent_processing(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
clean_database: None
):
"""Test processing multiple videos concurrently."""
print(f"\n🔄 Testing concurrent video processing")
# Create multiple output directories
num_concurrent = 3
processors = []
for i in range(num_concurrent):
output_dir = temp_video_dir / f"concurrent_{i}"
config = ProcessorConfig(
base_path=output_dir,
output_formats=["mp4"],
quality_preset="low",
generate_thumbnails=False, # Disable for speed
generate_sprites=False
)
processors.append(VideoProcessor(config))
# Process videos concurrently (simulate multiple instances)
results = []
start_time = time.time()
for i, processor in enumerate(processors):
result = processor.process_video(test_video_file, f"concurrent_test_{i}")
results.append(result)
processing_time = time.time() - start_time
# Verify all results
assert len(results) == num_concurrent
for i, result in enumerate(results):
assert result.video_id is not None
assert "mp4" in result.encoded_files
assert result.encoded_files["mp4"].exists()
print(f"✅ Processed {num_concurrent} videos concurrently in {processing_time:.2f}s")
class TestVideoProcessingValidation:
"""Tests for video processing validation and edge cases."""
def test_quality_preset_validation(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
clean_database: None
):
"""Test all quality presets produce valid output."""
print(f"\n📊 Testing quality preset validation")
presets = ["low", "medium", "high", "ultra"]
for preset in presets:
output_dir = temp_video_dir / f"quality_{preset}"
config = ProcessorConfig(
base_path=output_dir,
output_formats=["mp4"],
quality_preset=preset,
generate_thumbnails=False,
generate_sprites=False
)
processor = VideoProcessor(config)
result = processor.process_video(test_video_file, f"quality_test_{preset}")
# Verify output exists and has content
assert result.encoded_files["mp4"].exists()
assert result.encoded_files["mp4"].stat().st_size > 0
print(f"{preset} preset: {result.encoded_files['mp4'].stat().st_size} bytes")
print("✅ All quality presets validated")
def test_output_format_validation(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
clean_database: None
):
"""Test all supported output formats."""
print(f"\n🎞️ Testing output format validation")
formats = ["mp4", "webm", "ogv"]
output_dir = temp_video_dir / "format_test"
config = ProcessorConfig(
base_path=output_dir,
output_formats=formats,
quality_preset="low",
generate_thumbnails=False,
generate_sprites=False
)
processor = VideoProcessor(config)
result = processor.process_video(test_video_file, "format_validation")
# Verify all formats were created
for fmt in formats:
assert fmt in result.encoded_files
output_file = result.encoded_files[fmt]
assert output_file.exists()
assert output_file.suffix == f".{fmt}"
print(f"{fmt}: {output_file.stat().st_size} bytes")
print("✅ All output formats validated")
class TestVideoProcessingPerformance:
"""Performance and resource usage tests."""
def test_processing_performance(
self,
docker_compose_project: str,
test_video_file: Path,
temp_video_dir: Path,
clean_database: None
):
"""Test processing performance metrics."""
print(f"\n⚡ Testing processing performance")
config = ProcessorConfig(
base_path=temp_video_dir / "performance_test",
output_formats=["mp4"],
quality_preset="low",
generate_thumbnails=True,
generate_sprites=True
)
processor = VideoProcessor(config)
# Measure processing time
start_time = time.time()
result = processor.process_video(test_video_file, "performance_test")
processing_time = time.time() - start_time
# Performance assertions (for 10s test video)
assert processing_time < 60, f"Processing took too long: {processing_time:.2f}s"
assert result.metadata.duration > 0
# Calculate processing ratio (processing_time / video_duration)
processing_ratio = processing_time / result.metadata.duration
print(f"✅ Processing completed in {processing_time:.2f}s")
print(f" Video duration: {result.metadata.duration:.2f}s")
print(f" Processing ratio: {processing_ratio:.2f}x realtime")
# Performance should be reasonable for test setup
assert processing_ratio < 10, f"Processing too slow: {processing_ratio:.2f}x realtime"