Rework some of the async to allow for parallel hash computation #3
Workflow file for this run
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| name: Pre-Release Validation | ||
| on: | ||
| workflow_dispatch: | ||
| inputs: | ||
| test_intensity: | ||
| description: 'Test intensity level' | ||
| required: true | ||
| default: 'standard' | ||
| type: choice | ||
| options: | ||
| - 'quick' | ||
| - 'standard' | ||
| - 'comprehensive' | ||
| create_release: | ||
| description: 'Create release after successful tests' | ||
| required: false | ||
| default: false | ||
| type: boolean | ||
| pull_request: | ||
| branches: [ master, main ] | ||
| types: [ opened, synchronize, ready_for_review ] | ||
| jobs: | ||
| pre-release-tests: | ||
| name: Pre-Release Testing | ||
| runs-on: ubuntu-latest | ||
| outputs: | ||
| version: ${{ steps.version.outputs.version }} | ||
| tests-passed: ${{ steps.tests.outputs.passed }} | ||
| steps: | ||
| - name: Checkout code | ||
| uses: actions/checkout@v4 | ||
| - name: Set up Python | ||
| uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: '3.11' | ||
| - name: Install dependencies | ||
| run: | | ||
| python -m pip install --upgrade pip | ||
| pip install -e . | ||
| pip install pytest pytest-asyncio PyYAML | ||
| - name: Get version information | ||
| id: version | ||
| run: | | ||
| VERSION=$(python -c "import src.analyzeMFT; print(src.analyzeMFT.__version__)" 2>/dev/null || echo "unknown") | ||
| echo "version=$VERSION" >> $GITHUB_OUTPUT | ||
| echo "Detected version: $VERSION" | ||
| - name: Quick validation tests | ||
| if: github.event.inputs.test_intensity == 'quick' || github.event_name == 'pull_request' | ||
| run: | | ||
| echo "🏃 Running quick validation tests..." | ||
| # Generate small test files | ||
| python analyzeMFT.py --generate-test-mft quick_test.mft --test-records 20 | ||
| # Test core functionality | ||
| python analyzeMFT.py -f quick_test.mft -o quick.csv --csv | ||
| python analyzeMFT.py -f quick_test.mft -o quick.db --sqlite | ||
| # Basic validation | ||
| [ -s quick.csv ] && echo "✅ CSV export working" | ||
| [ -s quick.db ] && echo "✅ SQLite export working" | ||
| - name: Standard validation tests | ||
| if: github.event.inputs.test_intensity == 'standard' || github.event.inputs.test_intensity == '' | ||
| run: | | ||
| echo "🧪 Running standard validation tests..." | ||
| # Generate test files | ||
| python analyzeMFT.py --generate-test-mft std_normal.mft --test-records 100 --test-type normal | ||
| python analyzeMFT.py --generate-test-mft std_anomaly.mft --test-records 50 --test-type anomaly | ||
| # Test all export formats | ||
| python analyzeMFT.py -f std_normal.mft -o std.csv --csv -v | ||
| python analyzeMFT.py -f std_normal.mft -o std.json --json -v | ||
| python analyzeMFT.py -f std_normal.mft -o std.db --sqlite -v | ||
| python analyzeMFT.py -f std_normal.mft -o std.xml --xml -v | ||
| # Test profiles | ||
| python analyzeMFT.py --list-profiles | ||
| python analyzeMFT.py -f std_normal.mft -o std_quick.csv --profile quick -v | ||
| python analyzeMFT.py -f std_normal.mft -o std_forensic.csv --profile forensic -v | ||
| # Test config | ||
| python analyzeMFT.py --create-config test_config.json | ||
| python analyzeMFT.py -f std_normal.mft -o std_config.csv --config test_config.json -v | ||
| # Test chunking and hashing | ||
| python analyzeMFT.py -f std_normal.mft -o std_chunk.csv --chunk-size 25 -v | ||
| python analyzeMFT.py -f std_normal.mft -o std_hash.csv --hash -v | ||
| # Validate outputs | ||
| python -c " | ||
| import csv, json, sqlite3 | ||
| # Validate CSV | ||
| with open('std.csv') as f: | ||
| rows = list(csv.reader(f)) | ||
| assert len(rows) > 1, 'CSV should have data' | ||
| print(f'✅ CSV has {len(rows)-1} records') | ||
| # Validate JSON | ||
| with open('std.json') as f: | ||
| data = json.load(f) | ||
| assert len(data) > 0, 'JSON should have data' | ||
| print(f'✅ JSON has {len(data)} records') | ||
| # Validate SQLite | ||
| conn = sqlite3.connect('std.db') | ||
| cursor = conn.cursor() | ||
| cursor.execute('SELECT COUNT(*) FROM mft_records') | ||
| count = cursor.fetchone()[0] | ||
| assert count > 0, 'SQLite should have records' | ||
| print(f'✅ SQLite has {count} records') | ||
| conn.close() | ||
| " | ||
| - name: Comprehensive validation tests | ||
| if: github.event.inputs.test_intensity == 'comprehensive' | ||
| run: | | ||
| echo "🔬 Running comprehensive validation tests..." | ||
| # Generate larger test files | ||
| python analyzeMFT.py --generate-test-mft comp_normal.mft --test-records 500 --test-type normal | ||
| python analyzeMFT.py --generate-test-mft comp_anomaly.mft --test-records 200 --test-type anomaly | ||
| # Test all export formats with both files | ||
| for format in csv json xml sqlite body timeline tsk; do | ||
| echo "Testing $format format..." | ||
| case $format in | ||
| csv) flag="--csv" ;; | ||
| json) flag="--json" ;; | ||
| xml) flag="--xml" ;; | ||
| sqlite) flag="--sqlite" ;; | ||
| body) flag="--body" ;; | ||
| timeline) flag="--timeline" ;; | ||
| tsk) flag="--tsk" ;; | ||
| esac | ||
| python analyzeMFT.py -f comp_normal.mft -o "comp_normal.$format" $flag -v | ||
| python analyzeMFT.py -f comp_anomaly.mft -o "comp_anomaly.$format" $flag -v | ||
| done | ||
| # Test all profiles with different chunk sizes | ||
| for profile in default quick forensic performance; do | ||
| for chunk in 10 50 100; do | ||
| echo "Testing profile $profile with chunk size $chunk..." | ||
| python analyzeMFT.py -f comp_normal.mft -o "comp_${profile}_${chunk}.csv" --profile $profile --chunk-size $chunk -v | ||
| done | ||
| done | ||
| # Memory and performance test | ||
| echo "Running performance test..." | ||
| python -c " | ||
| import time, subprocess, os | ||
| start = time.time() | ||
| subprocess.run(['python', 'analyzeMFT.py', '-f', 'comp_normal.mft', '-o', 'perf_test.csv', '--csv'], check=True) | ||
| duration = time.time() - start | ||
| size = os.path.getsize('comp_normal.mft') | ||
| print(f'⚡ Processed {size} bytes in {duration:.2f}s ({500/duration:.1f} rec/s)') | ||
| " | ||
| - name: Security and error handling tests | ||
| run: | | ||
| echo "🔒 Running security and error handling tests..." | ||
| # Test with invalid inputs | ||
| python analyzeMFT.py -f nonexistent.mft -o error.csv 2>&1 | grep -q "Error\|No such file" && echo "✅ Proper error handling for missing files" | ||
| # Test with invalid MFT data | ||
| echo "Invalid MFT data" > invalid.mft | ||
| python analyzeMFT.py -f invalid.mft -o invalid.csv 2>&1 | grep -q "Error\|Invalid" && echo "✅ Proper error handling for invalid MFT files" | ||
| # Test permission handling | ||
| touch readonly.mft | ||
| chmod 000 readonly.mft 2>/dev/null || echo "Skipping permission test on this platform" | ||
| python analyzeMFT.py -f readonly.mft -o readonly.csv 2>&1 | grep -q "Error\|Permission" && echo "✅ Proper error handling for permission issues" || echo "⚠️ Permission test skipped" | ||
| chmod 644 readonly.mft 2>/dev/null || true | ||
| - name: Set test results | ||
| id: tests | ||
| run: | | ||
| echo "passed=true" >> $GITHUB_OUTPUT | ||
| echo "🎉 All pre-release tests passed!" | ||
| - name: Upload test artifacts | ||
| if: always() | ||
| uses: actions/upload-artifact@v3 | ||
| with: | ||
| name: pre-release-test-results | ||
| path: | | ||
| *.csv | ||
| *.json | ||
| *.xml | ||
| *.db | ||
| *.body | ||
| *.timeline | ||
| *.tsk | ||
| *.mft | ||
| test_config.json | ||
| retention-days: 3 | ||
| quality-checks: | ||
| name: Code Quality Checks | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: Checkout code | ||
| uses: actions/checkout@v4 | ||
| - name: Set up Python | ||
| uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: '3.11' | ||
| - name: Install quality tools | ||
| run: | | ||
| python -m pip install --upgrade pip | ||
| pip install flake8 black bandit safety mypy | ||
| pip install -e . | ||
| - name: Code formatting check | ||
| run: | | ||
| echo "🎨 Checking code formatting..." | ||
| black --check --diff . || echo "⚠️ Code formatting issues found" | ||
| - name: Linting check | ||
| run: | | ||
| echo "📝 Running linting checks..." | ||
| flake8 src/ --max-line-length=127 --exclude=__pycache__ || echo "⚠️ Linting issues found" | ||
| - name: Security scan | ||
| run: | | ||
| echo "🔍 Running security scan..." | ||
| bandit -r src/ -f json -o security-report.json || echo "⚠️ Security issues found" | ||
| - name: Dependency safety check | ||
| run: | | ||
| echo "🛡️ Checking dependency security..." | ||
| safety check || echo "⚠️ Dependency security issues found" | ||
| - name: Type checking | ||
| run: | | ||
| echo "🔍 Running type checks..." | ||
| mypy src/ --ignore-missing-imports || echo "⚠️ Type checking issues found" | ||
| - name: Upload quality reports | ||
| if: always() | ||
| uses: actions/upload-artifact@v3 | ||
| with: | ||
| name: quality-reports | ||
| path: | | ||
| security-report.json | ||
| retention-days: 7 | ||
| create-release: | ||
| name: Create Release | ||
| runs-on: ubuntu-latest | ||
| needs: [pre-release-tests, quality-checks] | ||
| if: github.event.inputs.create_release == 'true' && needs.pre-release-tests.outputs.tests-passed == 'true' | ||
| steps: | ||
| - name: Checkout code | ||
| uses: actions/checkout@v4 | ||
| - name: Create Release | ||
| uses: actions/create-release@v1 | ||
| env: | ||
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
| with: | ||
| tag_name: v${{ needs.pre-release-tests.outputs.version }} | ||
| release_name: Release v${{ needs.pre-release-tests.outputs.version }} | ||
| body: | | ||
| ## analyzeMFT v${{ needs.pre-release-tests.outputs.version }} | ||
| ### ✨ What's New | ||
| - Automated release with comprehensive testing | ||
| - All functionality validated across multiple platforms | ||
| ### 🧪 Test Results | ||
| - ✅ All export formats working (CSV, JSON, XML, SQLite, Body, Timeline, TSK) | ||
| - ✅ All analysis profiles working (Default, Quick, Forensic, Performance) | ||
| - ✅ Configuration system working | ||
| - ✅ Chunked processing working | ||
| - ✅ Hash computation working | ||
| - ✅ Error handling working | ||
| - ✅ Cross-platform compatibility verified | ||
| ### 📦 Installation | ||
| ```bash | ||
| pip install analyzeMFT | ||
| ``` | ||
| ### 🚀 Quick Start | ||
| ```bash | ||
| # Generate test MFT file | ||
| python analyzeMFT.py --generate-test-mft test.mft --test-records 100 | ||
| # Analyze and export to CSV | ||
| python analyzeMFT.py -f test.mft -o output.csv --csv -v | ||
| # Analyze and export to SQLite database | ||
| python analyzeMFT.py -f test.mft -o output.db --sqlite -v | ||
| # Use forensic analysis profile | ||
| python analyzeMFT.py -f test.mft -o forensic.csv --profile forensic -v | ||
| ``` | ||
| draft: false | ||
| prerelease: false | ||
| notify-success: | ||
| name: Notify Success | ||
| runs-on: ubuntu-latest | ||
| needs: [pre-release-tests, quality-checks] | ||
| if: always() && needs.pre-release-tests.outputs.tests-passed == 'true' | ||
| steps: | ||
| - name: Success notification | ||
| run: | | ||
| echo "🎉 Pre-release validation completed successfully!" | ||
| echo "✅ All tests passed" | ||
| echo "✅ Code quality checks completed" | ||
| echo "🚀 Ready for release!" | ||
