annator-command-center / tests /scripts /aggregate_property_tests.py
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Deploy ATOM FastAPI command center runtime (part 9)
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#!/usr/bin/env python3
"""
Aggregate property test results from multiple platforms.
Combines FastCheck (frontend/mobile) and proptest (desktop) results
into unified cross-platform report with platform breakdown.
"""
import argparse
import json
import sys
import xml.etree.ElementTree as ET
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, Optional
def parse_jest_xml(junit_xml: Path) -> Dict[str, int]:
"""
Parse Jest JUnit XML output (frontend, mobile).
Args:
junit_xml: Path to JUnit XML file
Returns:
Dict with total, passed, failed counts (all 0 if file missing)
"""
if not junit_xml.exists():
print(f"Warning: {junit_xml} not found, returning zeros", file=sys.stderr)
return {"total": 0, "passed": 0, "failed": 0}
try:
tree = ET.parse(junit_xml)
root = tree.getroot()
total = 0
passed = 0
failed = 0
# JUnit format: <testsuite><testcase ...>
for testcase in root.findall(".//testcase"):
total += 1
# Check for failure element
if testcase.find("failure") is not None:
failed += 1
else:
passed += 1
return {"total": total, "passed": passed, "failed": failed}
except ET.ParseError as e:
print(f"Error parsing {junit_xml}: {e}", file=sys.stderr)
return {"total": 0, "passed": 0, "failed": 0}
except Exception as e:
print(f"Error reading {junit_xml}: {e}", file=sys.stderr)
return {"total": 0, "passed": 0, "failed": 0}
def parse_proptest_json(proptest_json: Path) -> Dict[str, int]:
"""
Parse proptest JSON output (desktop).
Note: proptest doesn't natively output JSON, needs custom format.
If JSON not available, falls back to parsing stdout with regex.
Args:
proptest_json: Path to proptest JSON file
Returns:
Dict with total, passed, failed counts (all 0 if file missing)
"""
if not proptest_json.exists():
print(f"Warning: {proptest_json} not found, returning zeros", file=sys.stderr)
return {"total": 0, "passed": 0, "failed": 0}
try:
with open(proptest_json, "r") as f:
data = json.load(f)
# Expected format: {"total": int, "passed": int, "failed": int}
return {
"total": data.get("total", 0),
"passed": data.get("passed", 0),
"failed": data.get("failed", 0),
}
except json.JSONDecodeError as e:
print(f"Error parsing JSON {proptest_json}: {e}", file=sys.stderr)
return {"total": 0, "passed": 0, "failed": 0}
except Exception as e:
print(f"Error reading {proptest_json}: {e}", file=sys.stderr)
return {"total": 0, "passed": 0, "failed": 0}
def aggregate_results(
frontend: Dict[str, int],
mobile: Dict[str, int],
desktop: Dict[str, int],
) -> Dict:
"""
Aggregate results across platforms with pass rate calculation.
Args:
frontend: Frontend test results
mobile: Mobile test results
desktop: Desktop test results
Returns:
Aggregated results with platform breakdown and pass rate
"""
total = frontend["total"] + mobile["total"] + desktop["total"]
passed = frontend["passed"] + mobile["passed"] + desktop["passed"]
failed = frontend["failed"] + mobile["failed"] + desktop["failed"]
pass_rate = (passed / total * 100) if total > 0 else 0.0
return {
"total": total,
"passed": passed,
"failed": failed,
"pass_rate": round(pass_rate, 2),
"platforms": {
"frontend": frontend,
"mobile": mobile,
"desktop": desktop,
},
"timestamp": datetime.now(timezone.utc).isoformat(),
}
def generate_pr_comment(results: Dict) -> str:
"""
Generate markdown table for PR comments.
Args:
results: Aggregated test results
Returns:
Markdown formatted comment
"""
lines = ["## Property Test Results\n"]
# Table header
lines.append("| Platform | Passed | Total | Pass Rate |")
lines.append("|----------|--------|-------|-----------|")
# Platform rows
for platform in ["frontend", "mobile", "desktop"]:
platform_data = results["platforms"][platform]
total = platform_data["total"]
if total > 0:
passed = platform_data["passed"]
pass_rate = (passed / total * 100) if total > 0 else 0
lines.append(
f"| {platform.capitalize()} | {passed} | {total} | {pass_rate:.1f}% |"
)
else:
lines.append(f"| {platform.capitalize()} | - | - | - |")
# Overall row
lines.append(
f"| **Overall** | **{results['passed']}** | **{results['total']}** | **{results['pass_rate']:.1f}%** |"
)
# Status message
if results["failed"] > 0:
lines.append(f"\n❌ Some property tests failed ({results['failed']} failures)")
else:
lines.append("\n✅ All property tests passed")
return "\n".join(lines)
def main() -> int:
"""Main entry point with CLI argument parsing."""
parser = argparse.ArgumentParser(
description="Aggregate property test results from multiple platforms"
)
parser.add_argument(
"--frontend",
type=Path,
help="Path to frontend Jest JUnit XML or JSON file",
)
parser.add_argument(
"--mobile",
type=Path,
help="Path to mobile Jest JUnit XML or JSON file",
)
parser.add_argument(
"--desktop",
type=Path,
help="Path to desktop proptest JSON file",
)
parser.add_argument(
"--output",
type=Path,
help="Output file path (JSON format)",
)
parser.add_argument(
"--format",
choices=["text", "json", "markdown"],
default="text",
help="Output format (default: text)",
)
args = parser.parse_args()
# Load results from each platform
frontend_results = (
parse_jest_xml(args.frontend) if args.frontend else {"total": 0, "passed": 0, "failed": 0}
)
mobile_results = (
parse_jest_xml(args.mobile) if args.mobile else {"total": 0, "passed": 0, "failed": 0}
)
desktop_results = (
parse_proptest_json(args.desktop)
if args.desktop
else {"total": 0, "passed": 0, "failed": 0}
)
# Aggregate results
aggregated = aggregate_results(frontend_results, mobile_results, desktop_results)
# Output results
if args.format == "json":
output = json.dumps(aggregated, indent=2)
if args.output:
args.output.write_text(output)
print(f"Results written to {args.output}", file=sys.stderr)
else:
print(output)
elif args.format == "markdown":
comment = generate_pr_comment(aggregated)
if args.output:
args.output.write_text(comment)
print(f"Comment written to {args.output}", file=sys.stderr)
else:
print(comment)
else: # text format
print(f"Property Test Results ({aggregated['timestamp']})")
print(f"Total: {aggregated['total']}")
print(f"Passed: {aggregated['passed']}")
print(f"Failed: {aggregated['failed']}")
print(f"Pass Rate: {aggregated['pass_rate']}%")
print("\nPlatform Breakdown:")
for platform, data in aggregated["platforms"].items():
print(f" {platform.capitalize()}: {data['passed']}/{data['total']}")
# Exit code based on test results
return 0 if aggregated["failed"] == 0 else 1
if __name__ == "__main__":
sys.exit(main())