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130 lines
4.4 KiB
Python
Executable File
130 lines
4.4 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Export XCTest performance metrics from an xcresult bundle."""
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from __future__ import annotations
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import argparse
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import json
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import subprocess
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import sys
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Sequence
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def _die(message: str, code: int = 1) -> int:
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sys.stderr.write(f"[extract_xctest_metrics] {message}\n")
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return code
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def _metric_summary(values: List[float]) -> Dict[str, float]:
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if not values:
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return {}
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return {
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"count": len(values),
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"min": min(values),
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"max": max(values),
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"mean": sum(values) / len(values),
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}
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def export_metrics(result: Path) -> Dict[str, Any]:
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proc = subprocess.run(
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[
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"xcrun",
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"xcresulttool",
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"get",
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"test-results",
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"metrics",
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"--path",
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str(result),
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"--compact",
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],
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text=True,
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capture_output=True,
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check=False,
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)
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if proc.returncode != 0:
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raise RuntimeError(proc.stderr.strip() or "xcresulttool metrics export failed")
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raw = json.loads(proc.stdout or "[]")
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tests = raw if isinstance(raw, list) else []
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memory_metrics: List[Dict[str, Any]] = []
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for test in tests:
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if not isinstance(test, dict):
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continue
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for run in test.get("testRuns") or []:
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if not isinstance(run, dict):
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continue
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device = run.get("device") if isinstance(run.get("device"), dict) else {}
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config = (
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run.get("testPlanConfiguration")
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if isinstance(run.get("testPlanConfiguration"), dict)
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else {}
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)
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for metric in run.get("metrics") or []:
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if not isinstance(metric, dict):
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continue
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display_name = str(metric.get("displayName") or "")
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identifier = str(metric.get("identifier") or "")
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unit = str(metric.get("unitOfMeasurement") or "")
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haystack = f"{display_name} {identifier} {unit}".lower()
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if "memory" not in haystack:
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continue
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values = [
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float(v)
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for v in metric.get("measurements") or []
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if isinstance(v, (int, float))
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]
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memory_metrics.append(
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{
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"testIdentifier": test.get("testIdentifier"),
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"testIdentifierURL": test.get("testIdentifierURL"),
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"device": device,
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"configuration": config,
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"displayName": display_name,
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"identifier": identifier or None,
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"unitOfMeasurement": unit,
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"measurements": values,
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"summary": _metric_summary(values),
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}
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)
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return {
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"schemaVersion": 1,
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"source": "xcresulttool get test-results metrics",
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"metrics": memory_metrics,
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}
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def main(argv: Optional[Sequence[str]] = None) -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--result", type=Path, required=True)
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parser.add_argument("--output", type=Path, required=True)
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args = parser.parse_args(list(argv) if argv is not None else None)
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try:
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doc = export_metrics(args.result)
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except (OSError, RuntimeError, json.JSONDecodeError) as exc:
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return _die(str(exc))
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args.output.parent.mkdir(parents=True, exist_ok=True)
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args.output.write_text(
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json.dumps(doc, indent=2, ensure_ascii=False), encoding="utf-8"
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)
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print(f"Wrote {args.output}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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