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| import time | |
| import sys | |
| import os | |
| sys.path.insert(0, os.path.abspath('.')) | |
| from core_engine import PortfolioPipeline | |
| def run_bench(): | |
| overrides = { | |
| 'universe': ["AAPL", "MSFT", "GOOGL"], | |
| 'capital': 100000, | |
| 'risk_input': 5, | |
| 'model': 1, | |
| 'allocation_engine': 1 | |
| } | |
| t0 = time.time() | |
| pipeline = PortfolioPipeline(overrides=overrides) | |
| pipeline.cfg['_serve'] = False | |
| print(f"Init: {time.time()-t0:.2f}s") | |
| t1 = time.time() | |
| pipeline.load_data() | |
| print(f"load_data: {time.time()-t1:.2f}s") | |
| t2 = time.time() | |
| val_bundle = pipeline.run_validation() | |
| print(f"run_validation: {time.time()-t2:.2f}s") | |
| t3 = time.time() | |
| opt_bundle = pipeline.optimize() | |
| print(f"optimize: {time.time()-t3:.2f}s") | |
| t4 = time.time() | |
| pipeline.generate_reports(val_bundle, opt_bundle) | |
| print(f"generate_reports: {time.time()-t4:.2f}s") | |
| print(f"Total: {time.time()-t0:.2f}s") | |
| if __name__ == '__main__': | |
| run_bench() | |