feat(perf): Add headless baseline profiling script

scripts/profile_baseline.py

@@ -0,0 +1,78 @@
+import sys
+import os
+import time
+from pathlib import Path
+
+# Add project root to sys.path
+project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
+if project_root not in sys.path:
+ sys.path.append(project_root)
+
+from src.performance_monitor import get_monitor
+from src.aggregate import build_file_items
+from src.dag_engine import TrackDAG
+from src.models import Ticket
+
+def run_aggregation_profile():
+ monitor = get_monitor()
+ base_dir = Path(project_root)
+ # Get 30 python files for profiling
+ files = [str(p.relative_to(base_dir)) for p in base_dir.glob("src/*.py")][:30]
+ with monitor.scope("aggregation"):
+  build_file_items(base_dir, files)
+
+def run_dag_profile():
+ monitor = get_monitor()
+ tickets = []
+ # Create 60 tickets with multiple dependencies to simulate complexity
+ for i in range(60):
+  deps = []
+  if i > 0: deps.append(f"ticket_{i-1}")
+  if i > 5: deps.append(f"ticket_{i-5}")
+  if i > 10: deps.append(f"ticket_{i-10}")
+  tickets.append(Ticket(
+   id=f"ticket_{i}",
+   description=f"Ticket {i}",
+   depends_on=deps
+  ))
+ dag = TrackDAG(tickets)
+ with monitor.scope("dag_operations"):
+  # Run operations 50 times per profile call
+  for _ in range(50):
+   dag.topological_sort()
+   dag.has_cycle()
+
+def print_metrics():
+ monitor = get_monitor()
+ metrics = monitor.get_metrics()
+ print(f"{'Component':<30} | {'Avg (ms)':<12} | {'Count':<8} | {'Max (ms)':<12} | {'Min (ms)':<12}")
+ print("-" * 85)
+ # Collect all base component names
+ components = set()
+ for key in metrics.keys():
+  if key.startswith("time_") and key.endswith("_ms") and not key.endswith("_avg"):
+   components.add(key[5:-3])
+ 
+ for comp in sorted(list(components)):
+  avg = metrics.get(f"time_{comp}_ms_avg", 0.0)
+  count = int(metrics.get(f"count_{comp}", 0))
+  max_val = metrics.get(f"max_{comp}_ms", 0.0)
+  min_val = metrics.get(f"min_{comp}_ms", 0.0)
+  print(f"{comp:<30} | {avg:<12.4f} | {count:<8} | {max_val:<12.4f} | {min_val:<12.4f}")
+
+def main():
+ monitor = get_monitor()
+ monitor.enabled = True
+ print("Starting Profiling Baseline...")
+ print("Running aggregation profile (5 iterations)...")
+ for _ in range(5):
+  run_aggregation_profile()
+ print("Running DAG profile (5 iterations)...")
+ for _ in range(5):
+  run_dag_profile()
+ print("\nBaseline Performance Metrics:")
+ print_metrics()
+ monitor.stop()
+
+if __name__ == "__main__":
+ main()