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TradingAgents
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Switch parallel timing logs from logger.info to print for Railway visibility 

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
dtarkent2-sys 2026-02-20 17:18:46 +00:00
parent 2484bd89e4
commit 12e0d507c2
1 changed files with 11 additions and 11 deletions
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22
tradingagents/graph/parallel_analysts.py
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@ -121,15 +121,15 @@ def create_parallel_research_node(bull_fn, bear_fn):
t0 = time.time()
def run_bull():
logger.info("Bull researcher starting")
print(f"[PARALLEL] Bull starting at +{time.time()-t0:.1f}s", flush=True)
result = bull_fn(state_snap)
logger.info("Bull researcher done in %.1fs", time.time() - t0)
print(f"[PARALLEL] Bull done at +{time.time()-t0:.1f}s", flush=True)
return result
def run_bear():
logger.info("Bear researcher starting")
print(f"[PARALLEL] Bear starting at +{time.time()-t0:.1f}s", flush=True)
result = bear_fn(state_snap)
logger.info("Bear researcher done in %.1fs", time.time() - t0)
print(f"[PARALLEL] Bear done at +{time.time()-t0:.1f}s", flush=True)
return result
with ThreadPoolExecutor(max_workers=2) as pool:
@ -138,7 +138,7 @@ def create_parallel_research_node(bull_fn, bear_fn):
bull_result = bull_future.result()
bear_result = bear_future.result()
logger.info("Parallel research total: %.1fs", time.time() - t0)
print(f"[PARALLEL] Research total: {time.time()-t0:.1f}s", flush=True)
bull_debate = bull_result["investment_debate_state"]
bear_debate = bear_result["investment_debate_state"]
@ -173,21 +173,21 @@ def create_parallel_risk_node(aggressive_fn, conservative_fn, neutral_fn):
t0 = time.time()
def run_agg():
logger.info("Aggressive analyst starting")
print(f"[PARALLEL] Aggressive starting at +{time.time()-t0:.1f}s", flush=True)
result = aggressive_fn(state_snap)
logger.info("Aggressive analyst done in %.1fs", time.time() - t0)
print(f"[PARALLEL] Aggressive done at +{time.time()-t0:.1f}s", flush=True)
return result
def run_con():
logger.info("Conservative analyst starting")
print(f"[PARALLEL] Conservative starting at +{time.time()-t0:.1f}s", flush=True)
result = conservative_fn(state_snap)
logger.info("Conservative analyst done in %.1fs", time.time() - t0)
print(f"[PARALLEL] Conservative done at +{time.time()-t0:.1f}s", flush=True)
return result
def run_neu():
logger.info("Neutral analyst starting")
print(f"[PARALLEL] Neutral starting at +{time.time()-t0:.1f}s", flush=True)
result = neutral_fn(state_snap)
logger.info("Neutral analyst done in %.1fs", time.time() - t0)
print(f"[PARALLEL] Neutral done at +{time.time()-t0:.1f}s", flush=True)
return result
with ThreadPoolExecutor(max_workers=3) as pool: