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Demonstrates replacing Celery with Gunicorn's dirty arbiters for background task processing. Includes: - 4 task workers: Email, Image, Data, Scheduled - Stateful workers with persistent connections/caches - Streaming progress for long-running tasks - Per-app worker allocation - Flask API with 15+ endpoints - Docker deployment (single container vs Celery's 4+) - Unit tests (19 tests) and integration tests - Migration guide from Celery
36 lines
1015 B
Bash
Executable File
36 lines
1015 B
Bash
Executable File
#!/bin/bash
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# Run tests for Celery Replacement example
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set -e
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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GUNICORN_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)"
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# Add gunicorn to Python path
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export PYTHONPATH="$GUNICORN_ROOT:$PYTHONPATH"
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cd "$SCRIPT_DIR"
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echo "=========================================="
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echo "Running Unit Tests"
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echo "=========================================="
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python -m pytest tests/test_tasks.py -v --tb=short
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echo ""
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echo "=========================================="
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echo "Unit tests passed!"
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echo "=========================================="
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# Check if integration tests should run
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if [ "$1" == "--integration" ] || [ "$1" == "-i" ]; then
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APP_URL="${APP_URL:-http://localhost:8000}"
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echo ""
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echo "=========================================="
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echo "Running Integration Tests against $APP_URL"
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echo "=========================================="
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python -m pytest tests/test_integration.py -v --tb=short
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fi
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echo ""
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echo "All tests completed successfully!"
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