mirror of
https://github.com/SpartanJ/eepp.git
synced 2026-10-18 11:33:23 +03:00
Martín Lucas Golini
d6d52032b0
- Add inactive and active accessibility benchmarks to protect against startup, notification, and AT-SPI scaling regressions. - Extend the AT-SPI benchmark with text, focus, action, value, geometry, hit-testing, and model-update operations. Run both benchmarks in Linux CI and preserve their JSON results as artifacts. - Add an explicit null accessibility backend for baseline measurements and optional accessibility disabling. - Harden the Windows UIA backend by caching client availability per update, validating root providers, and preventing recursive window procedure forwarding.
104 lines
3.1 KiB
Python
104 lines
3.1 KiB
Python
#!/usr/bin/env python3
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import argparse
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import json
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import os
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import statistics
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import subprocess
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import time
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def check(condition, message):
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if not condition:
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raise RuntimeError(message)
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def run_sample(args, disabled):
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environment = os.environ.copy()
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if disabled:
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environment["EEPP_DISABLE_ACCESSIBILITY"] = "1"
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else:
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environment.pop("EEPP_DISABLE_ACCESSIBILITY", None)
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start = time.perf_counter()
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completed = subprocess.run(
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[
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args.executable,
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"--benchmark-inactive",
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"--benchmark-iterations",
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str(args.iterations),
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],
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check=True,
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capture_output=True,
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text=True,
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timeout=args.timeout,
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env=environment,
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)
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wall_ms = (time.perf_counter() - start) * 1000
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result = json.loads(completed.stdout)
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result["wall_ms"] = wall_ms
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result["initialization_ms"] = result.pop("initialization_us") / 1000
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result["notifications_ms"] = result.pop("notifications_us") / 1000
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return result
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def median_sample(samples):
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return {
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key: statistics.median(sample[key] for sample in samples)
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for key in samples[0]
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}
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def main():
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parser = argparse.ArgumentParser(description="Benchmark inactive accessibility overhead")
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parser.add_argument("--executable", default="bin/eepp-ui-accessibility")
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parser.add_argument("--iterations", type=int, default=100000)
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parser.add_argument("--samples", type=int, default=5)
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parser.add_argument("--timeout", type=float, default=10)
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parser.add_argument("--max-initialization-ms", type=float, default=250)
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parser.add_argument("--max-notification-ratio", type=float, default=1.1)
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parser.add_argument("--max-wall-ratio", type=float, default=1.25)
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parser.add_argument("--json", action="store_true")
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args = parser.parse_args()
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check(args.iterations > 0 and args.samples > 0, "iterations and samples must be positive")
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# Alternate modes so thermal and scheduler drift affect both populations similarly.
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enabled_samples = []
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disabled_samples = []
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for index in range(args.samples * 2):
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disabled = index % 2 == 0
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result = run_sample(args, disabled)
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(disabled_samples if disabled else enabled_samples).append(result)
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enabled = median_sample(enabled_samples)
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disabled = median_sample(disabled_samples)
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notification_ratio = enabled["notifications_ms"] / disabled["notifications_ms"]
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wall_ratio = enabled["wall_ms"] / disabled["wall_ms"]
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check(
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enabled["initialization_ms"] <= args.max_initialization_ms,
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"inactive native backend initialization exceeded threshold",
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)
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check(
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notification_ratio <= args.max_notification_ratio,
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"inactive accessibility notification overhead exceeded threshold",
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)
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check(wall_ratio <= args.max_wall_ratio, "inactive accessibility wall-time overhead exceeded threshold")
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output = {
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"disabled": disabled,
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"enabled": enabled,
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"notification_ratio": notification_ratio,
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"wall_ratio": wall_ratio,
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}
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if args.json:
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print(json.dumps(output, sort_keys=True))
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else:
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print(
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"Inactive accessibility benchmark passed: "
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f"initialization {enabled['initialization_ms']:.3f}ms, "
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f"notifications {enabled['notifications_ms']:.3f}ms "
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f"({notification_ratio:.3f}x disabled), wall {wall_ratio:.3f}x disabled"
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)
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if __name__ == "__main__":
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main()
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