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scripts-check-perf-regression

#!/usr/bin/env python3 """

title: "Check Perf Regression" component_type: script version: "1.0.0" audience: contributor status: stable summary: "CODITECT Performance Regression Checker ========================================" keywords: ['analysis', 'check', 'ci/cd', 'perf', 'regression'] tokens: ~500 created: 2025-12-22 updated: 2025-12-22 script_name: "check-perf-regression.py" language: python executable: true usage: "python3 scripts/check-perf-regression.py [options]" python_version: "3.10+" dependencies: [] modifies_files: false network_access: false requires_auth: false

CODITECT Performance Regression Checker

STATUS: STUB - Not yet implemented VERSION: 0.1.0 (placeholder) AUTHOR: CODITECT Core Team

DESCRIPTION: Detects performance regressions by comparing current metrics against baseline measurements. Supports various metric types (latency, throughput, memory, CPU) with configurable thresholds.

PURPOSE: - Compare performance metrics against baseline - Detect statistically significant regressions - Generate regression reports with root cause hints - Integrate with CI/CD for automated checks - Track performance trends over time

EXPECTED INPUTS: --baseline : Baseline metrics file (JSON/CSV) --current : Current metrics file --threshold : Regression threshold percentage (default: 10%) --metrics : Metrics to check (latency, throughput, memory, cpu) --output : Report output path --fail-on : Exit 1 if regression exceeds threshold

EXPECTED OUTPUTS: - perf-regression-report.json with: { "regression_detected": true/false, "summary": { "metrics_checked": N, "regressions": N, "improvements": N }, "comparisons": [{ "metric": "p99_latency_ms", "baseline": 45.2, "current": 52.1, "change_pct": 15.3, "status": "regression|improvement|stable" }] }

IMPLEMENTATION REQUIREMENTS: 1. Metric file parsing (JSON, CSV, Prometheus) 2. Statistical comparison (mean, percentiles) 3. Threshold-based regression detection 4. Noise filtering and outlier handling 5. Trend analysis integration 6. CI/CD exit code support

USAGE EXAMPLES: python scripts/check-perf-regression.py --baseline base.json --current now.json python scripts/check-perf-regression.py --threshold 5 --fail-on regression

SEE ALSO: - commands/perf-profile.md - docs/PERFORMANCE-TESTING-GUIDE.md """

import argparse import json import sys

def main(): parser = argparse.ArgumentParser( description='Performance Regression Checker', epilog='Status: STUB - Implementation required' ) parser.add_argument('--baseline', help='Baseline metrics file') parser.add_argument('--current', help='Current metrics file') parser.add_argument('--threshold', type=float, default=10.0, help='Threshold percentage') parser.add_argument('--metrics', nargs='*', help='Metrics to check') parser.add_argument('--output', default='perf-regression-report.json') parser.add_argument('--fail-on', choices=['regression', 'none'], default='none')

args = parser.parse_args()

print("CODITECT CHECK-PERF-REGRESSION - STUB")
print(f"Threshold: {args.threshold}%, Output: {args.output}")

stub = {"status": "stub", "regression_detected": False, "message": "Not implemented"}
with open(args.output, 'w') as f:
json.dump(stub, f, indent=2)

return 0

if name == 'main': sys.exit(main())