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68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
"""Benchmark: interactive shell grounding (CLI + docs) cold vs warm cache.
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Run locally:
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python -m tests.benchmarks.interactive_shell.grounding_benchmark
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"""
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from __future__ import annotations
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import time
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from collections.abc import Callable
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from pathlib import Path
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from core.agent_harness.grounding.docs_reference import DocsReference
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from surfaces.interactive_shell.grounding.cli_reference import CliReference
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def _timed(label: str, fn: Callable[[], object]) -> tuple[float, object]:
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t0 = time.perf_counter()
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result = fn()
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elapsed = time.perf_counter() - t0
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print(f"{label}: {elapsed * 1000:.2f} ms")
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return elapsed, result
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def main() -> None:
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docs_root = Path(__file__).resolve().parents[3] / "docs"
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cli = CliReference()
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# CLI catalog assembly lives in surfaces/ (T-05); bind the CLI group here
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# the same way ShellPromptContextProvider does at turn time.
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from surfaces.cli.__main__ import cli as _cli_group
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cli.set_command_group_provider(lambda: _cli_group)
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docs = DocsReference()
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cold_cli, _ = _timed("CLI reference (cold)", cli.build_text)
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warm_cli, _ = _timed("CLI reference (warm)", cli.build_text)
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cli_stats = cli.stats()
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cold_docs = 0.0
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warm_docs = 0.0
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if docs_root.is_dir():
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cold_docs, _ = _timed("Docs parse (cold)", lambda: docs.discover(docs_root))
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warm_docs, _ = _timed("Docs parse (warm)", lambda: docs.discover(docs_root))
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_timed(
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"Docs reference text (warm index)",
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lambda: docs.build_text("configure Datadog integration"),
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)
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else:
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print("[skip] docs/ not present — docs parse timings omitted")
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docs_stats = docs.stats()
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print(
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f"\nSummary: CLI speedup ~{cold_cli / warm_cli:.1f}x (warm vs cold reference build)"
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if warm_cli > 0
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else "\nSummary: CLI warm path too fast to ratio"
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)
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if docs_root.is_dir() and warm_docs > 0:
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print(f"Docs parse speedup ~{cold_docs / warm_docs:.1f}x")
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print(f"CLI cache stats: {cli_stats}")
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print(f"Docs cache stats: {docs_stats}")
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if __name__ == "__main__":
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main()
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