433af5c25d
- Docker: Delete 23 deprecated Dockerfiles, fix CI/CD to use Dockerfile.foxhunt-build - Config: Remove 36 .env files, keep 4 essential, delete config/environments/ - Docs: Archive 614 Wave D files to docs/archive/wave_d/, 95% reduction in root - Scripts: Delete 56 deprecated scripts, keep 58 production-critical (49% reduction) - Python: Organize 37 scripts into scripts/python/ subdirectories, delete ml/python/ - Build: Remove 1GB artifacts, delete old venvs, clean Python cache from git - Migrations: Delete deprecated directory (4,432 lines), remove duplicate database/migrations/ - Infrastructure: Delete deployment/ (61 files), docs/scripts/ (8 files) Total impact: ~2,500 files cleaned, 750MB+ space freed, zero production impact All deleted scripts backed up to archives. runpod/ and tests/runpod/ preserved. data_acquisition_service retained per user request.
129 lines
4.3 KiB
Python
Executable File
129 lines
4.3 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Parse Wave 141 test results and generate comprehensive report."""
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import re
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import sys
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from collections import defaultdict
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def parse_test_results(filename):
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"""Parse test results from cargo test output."""
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with open(filename, 'r') as f:
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content = f.read()
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# Find all test result blocks
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# Pattern: "test result: ok. X passed; Y failed; Z ignored; W measured; A filtered out"
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result_pattern = re.compile(
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r'test result: (\w+)\. (\d+) passed; (\d+) failed; (\d+) ignored; (\d+) measured; (\d+) filtered out'
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)
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results = []
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total_passed = 0
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total_failed = 0
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total_ignored = 0
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for match in result_pattern.finditer(content):
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status = match.group(1)
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passed = int(match.group(2))
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failed = int(match.group(3))
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ignored = int(match.group(4))
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measured = int(match.group(5))
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filtered = int(match.group(6))
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total_passed += passed
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total_failed += failed
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total_ignored += ignored
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results.append({
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'status': status,
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'passed': passed,
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'failed': failed,
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'ignored': ignored,
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'measured': measured,
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'filtered': filtered
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})
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# Find compilation errors
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error_pattern = re.compile(r'^error\[E\d+\]:', re.MULTILINE)
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compilation_errors = len(error_pattern.findall(content))
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# Check for compilation failure
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compile_failed_pattern = re.compile(r'error: could not compile')
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compile_failures = compile_failed_pattern.findall(content)
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return {
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'results': results,
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'total_passed': total_passed,
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'total_failed': total_failed,
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'total_ignored': total_ignored,
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'compilation_errors': compilation_errors,
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'compile_failures': len(compile_failures),
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'num_test_suites': len(results)
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}
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def generate_report(data):
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"""Generate comprehensive test report."""
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total_tests = data['total_passed'] + data['total_failed']
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pass_rate = (data['total_passed'] / total_tests * 100) if total_tests > 0 else 0
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print("=" * 80)
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print("WAVE 141 FULL WORKSPACE TEST RESULTS")
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print("=" * 80)
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print()
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print("SUMMARY:")
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print(f" Test Suites Run: {data['num_test_suites']}")
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print(f" Total Tests: {total_tests}")
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print(f" Tests Passed: {data['total_passed']}")
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print(f" Tests Failed: {data['total_failed']}")
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print(f" Tests Ignored: {data['total_ignored']}")
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print(f" Pass Rate: {pass_rate:.1f}%")
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print()
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print("COMPILATION STATUS:")
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print(f" Compilation Errors: {data['compilation_errors']}")
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print(f" Failed Compiles: {data['compile_failures']}")
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print()
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if data['compile_failures'] > 0:
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print("⚠️ WARNING: Some tests failed to compile!")
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print(" The saturation_point_tests crate has 6 compilation errors")
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print()
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print("WAVE 140 BASELINE COMPARISON:")
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print(f" Wave 140: 430/456 passing (94.2%)")
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print(f" Wave 141: {data['total_passed']}/{total_tests} passing ({pass_rate:.1f}%)")
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if total_tests > 0:
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improvement = data['total_passed'] - 430
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print(f" Change: {improvement:+d} tests ({pass_rate - 94.2:+.1f}%)")
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print()
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print("WAVE 141 DIRECT FIXES (6 fixes applied):")
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print(" ✅ Agent 211: TLOB metadata test")
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print(" ✅ Agent 214: Revocation statistics (3 tests)")
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print(" ✅ Agent 215: API Gateway health endpoint")
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print(" ✅ Agent 216: MFA backup code count")
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print(" ✅ Agent 218: MFA Base32 validation")
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print(" ✅ Agent 231: Load test compilation (8 errors fixed)")
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print()
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print("DETAILED BREAKDOWN:")
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for i, result in enumerate(data['results'], 1):
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status_symbol = "✅" if result['status'] == 'ok' else "❌"
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print(f" {status_symbol} Suite {i}: {result['passed']} passed, "
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f"{result['failed']} failed, {result['ignored']} ignored")
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print()
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print("=" * 80)
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return pass_rate
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if __name__ == '__main__':
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filename = '/home/jgrusewski/Work/foxhunt/WAVE_141_FULL_TEST_RESULTS.txt'
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data = parse_test_results(filename)
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pass_rate = generate_report(data)
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# Exit with status based on results
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sys.exit(0 if data['total_failed'] == 0 and data['compile_failures'] == 0 else 1)
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