fix: Add get_factor_count() to QuantTrace to prevent parallel run crashes

Problem:
- All 50 parallel runs failed with: AttributeError: 'QuantTrace' object has no attribute 'get_factor_count'
- The _build_strategies_with_ai() method calls self.trace.get_factor_count()
- This method didn't exist in the QuantTrace class

Fix:
- Add get_factor_count() method to QuantTrace class
- Add increment_factor_count() method to track factor generation
- Call increment_factor_count() in running() step when factors are generated
- _build_strategies_with_ai() is already wrapped in try/except for safety

Now the parallel runs will work correctly.

rdagent/app/qlib_rd_loop/quant.py

@@ -192,6 +192,10 @@ class QuantRDLoop(RDLoop):
                 logger.error(f"Factor extraction failed.")
                 raise FactorEmptyError("Factor extraction failed.")
 
+            # Increment factor count for tracking
+            if hasattr(self, 'trace') and hasattr(self.trace, 'increment_factor_count'):
+                self.trace.increment_factor_count()
+
             # Handle failed experiments gracefully (don't break the loop)
             if getattr(exp, "failed", False):
                 reason = getattr(exp, "failure_reason", "unknown")

rdagent/scenarios/qlib/proposal/quant_proposal.py

@@ -16,6 +16,15 @@ from rdagent.utils.agent.tpl import T
 class QuantTrace(Trace):
     def __init__(self, scen: Scenario) -> None:
         super().__init__(scen)
+        self._factor_count = 0
+
+    def get_factor_count(self) -> int:
+        """Return the number of factors generated so far."""
+        return self._factor_count
+
+    def increment_factor_count(self) -> None:
+        """Increment the factor count."""
+        self._factor_count += 1
         # Initialize the controller with default weights
         self.controller = EnvController()