TradingAgents/verify_concurrent_execution.py

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#!/usr/bin/env python3
"""Quick verification that concurrent scanner execution works."""
import time
import copy
from tradingagents.default_config import DEFAULT_CONFIG
from tradingagents.graph.discovery_graph import DiscoveryGraph
def compare_execution_modes():
"""Compare concurrent vs sequential execution."""
print("\n" + "="*60)
print("Concurrent Scanner Execution Verification")
print("="*60)
# Test 1: Concurrent execution
print("\n1⃣ Testing CONCURRENT execution...")
config_concurrent = copy.deepcopy(DEFAULT_CONFIG)
config_concurrent["discovery"]["scanner_execution"] = {
"concurrent": True,
"max_workers": 8,
"timeout_seconds": 30,
}
graph_concurrent = DiscoveryGraph(config_concurrent)
state = {
"trade_date": "2026-02-05",
"tickers": [],
"tool_logs": [],
}
start = time.time()
result_concurrent = graph_concurrent.scanner_node(state)
time_concurrent = time.time() - start
print(f"\n ⏱️ Concurrent time: {time_concurrent:.2f}s")
print(f" 📊 Candidates found: {len(result_concurrent['candidate_metadata'])}")
# Test 2: Sequential execution
print("\n2⃣ Testing SEQUENTIAL execution...")
config_sequential = copy.deepcopy(DEFAULT_CONFIG)
config_sequential["discovery"]["scanner_execution"] = {
"concurrent": False,
"max_workers": 1,
"timeout_seconds": 30,
}
graph_sequential = DiscoveryGraph(config_sequential)
state = {
"trade_date": "2026-02-05",
"tickers": [],
"tool_logs": [],
}
start = time.time()
result_sequential = graph_sequential.scanner_node(state)
time_sequential = time.time() - start
print(f"\n ⏱️ Sequential time: {time_sequential:.2f}s")
print(f" 📊 Candidates found: {len(result_sequential['candidate_metadata'])}")
# Compare
improvement = ((time_sequential - time_concurrent) / time_sequential) * 100
print("\n" + "="*60)
print("📊 Performance Comparison")
print("="*60)
print(f"Concurrent: {time_concurrent:.2f}s ({len(result_concurrent['tickers'])} tickers)")
print(f"Sequential: {time_sequential:.2f}s ({len(result_sequential['tickers'])} tickers)")
print(f"Improvement: {improvement:.1f}% faster ⚡")
print("="*60)
return {
"concurrent_time": time_concurrent,
"sequential_time": time_sequential,
"improvement_pct": improvement,
"concurrent_candidates": len(result_concurrent['candidate_metadata']),
"sequential_candidates": len(result_sequential['candidate_metadata']),
}
if __name__ == "__main__":
results = compare_execution_modes()
# Verify improvement
if results["improvement_pct"] > 15:
print(f"\n✅ SUCCESS: Concurrent execution is {results['improvement_pct']:.1f}% faster!")
else:
print(f"\n⚠️ WARNING: Only {results['improvement_pct']:.1f}% improvement")