Bump version to 1.0.4 in pyproject.toml and update README.md to refle… #31
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| name: CI | |
| on: | |
| push: | |
| branches: [ main ] | |
| pull_request: | |
| branches: [ main ] | |
| jobs: | |
| test: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.11" | |
| - name: Install package | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -e . | |
| pip install numpy Pillow | |
| - name: API Functional test | |
| run: | | |
| # 테스트 디렉토리 생성 | |
| mkdir -p test_output | |
| # API 테스트 실행 | |
| python -c ' | |
| from pathlib import Path | |
| from imgdiet import save | |
| import os | |
| import numpy as np | |
| from PIL import Image | |
| def get_np_array(img_path): | |
| return np.array(Image.open(img_path)) | |
| # 입력 이미지와 출력 경로 설정 | |
| source = Path("assets/20250105_164724.png") | |
| target = Path("test_output/output.webp") | |
| target_psnr = 40.0 | |
| # 이미지 변환 | |
| save(source, target, target_psnr=target_psnr) | |
| # 파일 크기 검증 | |
| source_size = os.path.getsize(source) | |
| target_size = os.path.getsize(target) | |
| print(f"Source size: {source_size:,} bytes") | |
| print(f"Target size: {target_size:,} bytes") | |
| print(f"Size reduction: {(1 - target_size/source_size)*100:.1f}%") | |
| assert target_size < source_size, "Compressed file should be smaller" | |
| assert target.exists(), "Output file should exist" | |
| # PSNR 체크 | |
| # WebP를 PNG로 임시 변환 | |
| temp_png = "test_output/temp.png" | |
| Image.open(target).save(temp_png) | |
| # PSNR 계산 | |
| original = get_np_array(source) | |
| converted = get_np_array(temp_png) | |
| mse = np.mean((original - converted) ** 2) | |
| psnr = 20 * np.log10(255.0 / np.sqrt(mse)) | |
| print(f"PSNR: {psnr:.1f} dB") | |
| assert psnr >= target_psnr, f"PSNR ({psnr:.1f} dB) should be >= target ({target_psnr} dB)" | |
| # 테스트 통과 메시지 | |
| print("\n✅ API Test passed!") | |
| print(f"- File size reduced by {(1 - target_size/source_size)*100:.1f}%") | |
| print(f"- PSNR: {psnr:.1f} dB (target: {target_psnr} dB)") | |
| ' | |
| - name: CLI Functional test | |
| run: | | |
| # CLI 테스트를 위한 새 디렉토리 생성 | |
| rm -rf test_output | |
| mkdir -p test_output | |
| # CLI로 이미지 변환 실행 | |
| imgdiet --source assets/20250105_164724.png --target test_output/output.webp --psnr 40.0 | |
| # 결과 검증 | |
| python -c ' | |
| from pathlib import Path | |
| import os | |
| import numpy as np | |
| from PIL import Image | |
| def get_np_array(img_path): | |
| return np.array(Image.open(img_path)) | |
| source = Path("assets/20250105_164724.png") | |
| target = Path("test_output/output.webp") | |
| target_psnr = 40.0 | |
| # 파일 존재 확인 | |
| assert target.exists(), "CLI: Output file should exist" | |
| # 파일 크기 검증 | |
| source_size = os.path.getsize(source) | |
| target_size = os.path.getsize(target) | |
| print(f"CLI - Source size: {source_size:,} bytes") | |
| print(f"CLI - Target size: {target_size:,} bytes") | |
| print(f"CLI - Size reduction: {(1 - target_size/source_size)*100:.1f}%") | |
| assert target_size < source_size, "CLI: Compressed file should be smaller" | |
| # PSNR 체크 | |
| temp_png = "test_output/temp_cli.png" | |
| Image.open(target).save(temp_png) | |
| original = get_np_array(source) | |
| converted = get_np_array(temp_png) | |
| mse = np.mean((original - converted) ** 2) | |
| psnr = 20 * np.log10(255.0 / np.sqrt(mse)) | |
| print(f"CLI - PSNR: {psnr:.1f} dB") | |
| assert psnr >= target_psnr, f"CLI: PSNR ({psnr:.1f} dB) should be >= target ({target_psnr} dB)" | |
| # 테스트 통과 메시지 | |
| print("\n✅ CLI Test passed!") | |
| print(f"- File size reduced by {(1 - target_size/source_size)*100:.1f}%") | |
| print(f"- PSNR: {psnr:.1f} dB (target: {target_psnr} dB)") | |
| ' |