46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import argparse
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import asyncio
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from .benchmark_function import benchmark_function
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from cognee.modules.graph.utils import get_graph_from_model
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from cognee.tests.unit.interfaces.graph.util import (
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PERSON_NAMES,
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create_organization_recursive,
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)
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# Example usage:
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Benchmark graph model with configurable recursive depth"
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)
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parser.add_argument(
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"--recursive-depth",
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type=int,
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default=3,
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help="Recursive depth for graph generation (default: 3)",
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)
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parser.add_argument(
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"--runs", type=int, default=5, help="Number of benchmark runs (default: 5)"
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)
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args = parser.parse_args()
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society = create_organization_recursive(
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"society", "Society", PERSON_NAMES, args.recursive_depth
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)
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nodes, edges = asyncio.run(get_graph_from_model(society))
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def get_graph_from_model_sync(model):
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return asyncio.run(get_graph_from_model(model))
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results = benchmark_function(get_graph_from_model_sync, society, num_runs=args.runs)
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print("\nBenchmark Results:")
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print(
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f"N nodes: {len(nodes)}, N edges: {len(edges)}, Recursion depth: {args.recursive_depth}"
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)
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print(f"Mean Peak Memory: {results['mean_peak_memory_mb']:.2f} MB")
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print(f"Mean CPU Usage: {results['mean_cpu_percent']:.2f}%")
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print(f"Mean Execution Time: {results['mean_execution_time']:.4f} seconds")
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if "std_execution_time" in results:
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print(f"Execution Time Std: {results['std_execution_time']:.4f} seconds")
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