zzstoatzz.io
pydantic model generator for atproto lexicons
chore: move bench.py to scripts/, use uv shebang
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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bench.py
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bench.py
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#!/usr/bin/env python3
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"""benchmark pmgfal on real lexicons."""
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import subprocess
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import tempfile
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import time
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from pathlib import Path
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def bench_atproto():
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"""benchmark against full atproto lexicons."""
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with tempfile.TemporaryDirectory() as tmp:
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# clone atproto
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print("cloning atproto lexicons...")
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subprocess.run(
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["git", "clone", "--depth=1", "https://github.com/bluesky-social/atproto.git", tmp],
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capture_output=True,
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check=True,
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)
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lexicon_dir = Path(tmp) / "lexicons"
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output_dir = Path(tmp) / "output"
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json_files = list(lexicon_dir.rglob("*.json"))
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print(f"found {len(json_files)} lexicon files")
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# benchmark generation (cold)
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start = time.perf_counter()
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subprocess.run(
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["uv", "run", "pmgfal", str(lexicon_dir), "-o", str(output_dir), "--no-cache"],
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check=True,
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)
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cold_time = time.perf_counter() - start
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# count output
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models_file = output_dir / "models.py"
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lines = len(models_file.read_text().splitlines()) if models_file.exists() else 0
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# benchmark cache hit
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start = time.perf_counter()
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subprocess.run(
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["uv", "run", "pmgfal", str(lexicon_dir), "-o", str(output_dir)],
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check=True,
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)
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cache_time = time.perf_counter() - start
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print(f"\nresults:")
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print(f" lexicons: {len(json_files)}")
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print(f" output: {lines} lines")
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print(f" cold generation: {cold_time:.3f}s")
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print(f" cache hit: {cache_time:.3f}s")
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if __name__ == "__main__":
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bench_atproto()
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justfile
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justfile
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scripts/bench.py
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scripts/bench.py
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#!/usr/bin/env -S uv run python
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"""benchmark pmgfal on real lexicons."""
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import subprocess
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import tempfile
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import time
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from pathlib import Path
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def bench_atproto():
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"""benchmark against full atproto lexicons."""
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with tempfile.TemporaryDirectory() as tmp:
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# clone atproto
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print("cloning atproto lexicons...")
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subprocess.run(
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["git", "clone", "--depth=1", "https://github.com/bluesky-social/atproto.git", tmp],
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capture_output=True,
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check=True,
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)
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lexicon_dir = Path(tmp) / "lexicons"
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output_dir = Path(tmp) / "output"
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json_files = list(lexicon_dir.rglob("*.json"))
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print(f"found {len(json_files)} lexicon files")
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# benchmark generation (cold)
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start = time.perf_counter()
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subprocess.run(
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["uv", "run", "pmgfal", str(lexicon_dir), "-o", str(output_dir), "--no-cache"],
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check=True,
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)
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cold_time = time.perf_counter() - start
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# count output
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models_file = output_dir / "models.py"
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lines = len(models_file.read_text().splitlines()) if models_file.exists() else 0
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# benchmark cache hit
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start = time.perf_counter()
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subprocess.run(
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["uv", "run", "pmgfal", str(lexicon_dir), "-o", str(output_dir)],
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check=True,
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)
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cache_time = time.perf_counter() - start
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print(f"\nresults:")
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print(f" lexicons: {len(json_files)}")
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print(f" output: {lines} lines")
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print(f" cold generation: {cold_time:.3f}s")
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print(f" cache hit: {cache_time:.3f}s")
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if __name__ == "__main__":
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bench_atproto()