20f6c59f05
Remove .codeflash/ from ruff extend-exclude, add per-file ignores for .codeflash/, scripts/, evals/, and plugin/ (benchmark/script patterns like print, eval, magic values). Remove shebangs. Widen pre-commit hooks to check the full repo.
126 lines
3.4 KiB
Python
126 lines
3.4 KiB
Python
"""
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Unified profiler for image processing benchmark.
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Profiles both CPU (cProfile) and memory (tracemalloc).
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"""
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import cProfile
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import io
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import os
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import pstats
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import sys
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import tracemalloc
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# Add odoo to path
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sys.path.insert(0, "/Users/krrt7/Desktop/work/odoo_org/odoo")
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venv_site_packages = (
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"/Users/krrt7/Desktop/work/odoo_org/odoo/venv/lib/python3.14/site-packages"
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)
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if os.path.exists(venv_site_packages):
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sys.path.insert(0, venv_site_packages)
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# Import benchmark module
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sys.path.insert(0, "/Users/krrt7/Desktop/work/odoo_org/odoo/.codeflash")
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from benchmark_image import (
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benchmark_base64_operations,
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benchmark_format_conversion,
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benchmark_resize_pil,
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benchmark_thumbnail_pil,
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create_test_image,
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)
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def profile_image_operations():
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"""Profile image operations with CPU and memory tracking."""
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# Start memory profiling
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tracemalloc.start()
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# Start CPU profiling
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profiler = cProfile.Profile()
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profiler.enable()
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# Run benchmark operations
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print("Running profiled image operations...")
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# Create test images
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small_img = create_test_image(512, 512)
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medium_img = create_test_image(2048, 2048)
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# Run operations multiple times for better profiling data
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for _ in range(5):
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benchmark_resize_pil(medium_img, (512, 512))
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benchmark_thumbnail_pil(medium_img, (256, 256))
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benchmark_format_conversion(small_img)
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benchmark_base64_operations(medium_img)
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# Stop CPU profiling
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profiler.disable()
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# Get memory snapshot
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snapshot = tracemalloc.take_snapshot()
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# Print CPU profile
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print("\n" + "=" * 80)
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print("CPU PROFILE (top 40 by cumulative time)")
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print("=" * 80)
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s = io.StringIO()
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ps = pstats.Stats(profiler, stream=s)
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ps.strip_dirs()
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ps.sort_stats("cumulative")
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ps.print_stats(40)
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print(s.getvalue())
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print("\n" + "=" * 80)
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print("CPU PROFILE (top 40 by total time)")
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print("=" * 80)
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s = io.StringIO()
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ps = pstats.Stats(profiler, stream=s)
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ps.strip_dirs()
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ps.sort_stats("tottime")
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ps.print_stats(40)
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print(s.getvalue())
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# Print memory profile
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print("\n" + "=" * 80)
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print("MEMORY PROFILE (top 40 allocations)")
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print("=" * 80)
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top_stats = snapshot.statistics("lineno")
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for index, stat in enumerate(top_stats[:40], 1):
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print(f"{index:2}. {stat}")
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print("\n" + "=" * 80)
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print("MEMORY PROFILE (grouped by file)")
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print("=" * 80)
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top_stats = snapshot.statistics("filename")
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for index, stat in enumerate(top_stats[:30], 1):
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print(f"{index:2}. {stat}")
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# Save detailed profiles
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profiler.dump_stats(
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"/Users/krrt7/Desktop/work/odoo_org/odoo/.codeflash/cpu_profile.prof"
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)
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# Summary
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current, peak = tracemalloc.get_traced_memory()
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print("\n" + "=" * 80)
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print("MEMORY SUMMARY")
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print("=" * 80)
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print(f"Current memory: {current / 1024 / 1024:.1f} MiB")
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print(f"Peak memory: {peak / 1024 / 1024:.1f} MiB")
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tracemalloc.stop()
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# Save memory data
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with open(
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"/Users/krrt7/Desktop/work/odoo_org/odoo/.codeflash/memory_baseline.txt",
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"w",
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) as f:
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f.write(f"Peak memory: {peak / 1024 / 1024:.1f} MiB\n")
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f.write(f"Current memory: {current / 1024 / 1024:.1f} MiB\n")
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return True
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if __name__ == "__main__":
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success = profile_image_operations()
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sys.exit(0 if success else 1)
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