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81 lines
2.5 KiB
Python
81 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Swarm Query: GPU and Component Optimization to 80% Load
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Ask the swarm to figure out how to safely maximize the entire interface
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of the GPU and all other components connected together up to 80% of
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total possible load.
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"""
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import sys
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import os
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import json
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent))
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sys.path.insert(0, str(Path(__file__).parent.parent.parent / "4-Infrastructure"))
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sys.path.insert(0, str(Path(__file__).parent.parent.parent / "0-Core-Formalism"))
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from infra.enhanced_integrated_swarm import EnhancedIntegratedSwarm
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def main():
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print("=" * 70)
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print("SWARM QUERY: GPU and Component Optimization to 80% Load")
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print("=" * 70)
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swarm = EnhancedIntegratedSwarm()
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# Query the swarm about GPU optimization
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print("\n[1] Querying swarm about GPU knowledge...")
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gpu_knowledge = swarm.shim.swarm_gpu_knowledge()
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if "error" in gpu_knowledge:
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print(f"ERROR: {gpu_knowledge['error']}")
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return
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print("\n[2] GPU Knowledge from Swarm:")
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print(json.dumps(gpu_knowledge, indent=2))
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# Query about interface adoption
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print("\n[3] Querying swarm about interface adoption...")
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interface_adoption = swarm.shim.swarm_adopt_interface()
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if "error" in interface_adoption:
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print(f"ERROR: {interface_adoption['error']}")
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return
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print("\n[4] Interface Adoption from Swarm:")
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print(json.dumps(interface_adoption, indent=2))
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# Query about topology documentation
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print("\n[5] Querying swarm about topology documentation...")
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topology_doc = swarm.shim.swarm_document_topology()
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if "error" in topology_doc:
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print(f"ERROR: {topology_doc['error']}")
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return
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print("\n[6] Topology Documentation from Swarm:")
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print(json.dumps(topology_doc, indent=2))
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# Save results
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result = {
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"query": "GPU and component optimization to 80% load",
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"gpu_knowledge": gpu_knowledge,
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"interface_adoption": interface_adoption,
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"topology_documentation": topology_doc
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}
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output_path = Path(__file__).parent.parent.parent / "data" / "swarm_gpu_optimization_80_percent.json"
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output_path.parent.mkdir(parents=True, exist_ok=True)
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with open(output_path, 'w') as f:
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json.dump(result, f, indent=2)
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print(f"\n[7] Results saved to: {output_path}")
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print("\n" + "=" * 70)
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print("SWARM QUERY COMPLETE")
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print("=" * 70)
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if __name__ == "__main__":
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main()
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