feat(perf): Expand instrumentation with context manager and extended metrics

src/aggregate.py

@@ -21,6 +21,7 @@ from src import summarize
 from src import project_manager
 from src import beads_client
 from src.file_cache import ASTParser
+from src.performance_monitor import get_monitor
 
 def find_next_increment(output_dir: Path, namespace: str) -> int:
  pattern = re.compile(rf"^{re.escape(namespace)}_(\d+)\.md$")
@@ -132,52 +133,54 @@ def build_file_items(base_dir: Path, files: list[str | dict[str, Any]]) -> list[
         auto_aggregate : bool
         force_full     : bool
     """
- items: list[dict[str, Any]] = []
- for entry_raw in files:
-  if isinstance(entry_raw, dict):
-   entry = cast(str, entry_raw.get("path", ""))
-   tier = entry_raw.get("tier")
-   auto_aggregate = entry_raw.get("auto_aggregate", True)
-   force_full = entry_raw.get("force_full", False)
-  elif hasattr(entry_raw, "path"):
-   entry = entry_raw.path
-   tier = getattr(entry_raw, "tier", None)
-   auto_aggregate = getattr(entry_raw, "auto_aggregate", True)
-   force_full = getattr(entry_raw, "force_full", False)
-  else:
-   entry = entry_raw
-   tier = None
-   auto_aggregate = True
-   force_full = False
-  if not entry or not isinstance(entry, str):
-   continue
-  paths = resolve_paths(base_dir, entry)
-  if not paths:
-   items.append({"path": None, "entry": entry, "content": f"ERROR: no files matched: {entry}", "error": True, "mtime": 0.0, "tier": tier, "auto_aggregate": auto_aggregate, "force_full": force_full})
-   continue
-  for path in paths:
-   try:
-    content = path.read_text(encoding="utf-8")
-    mtime = path.stat().st_mtime
-    error = False
-   except FileNotFoundError:
-    content = f"ERROR: file not found: {path}"
-    mtime = 0.0
-    error = True
-   except Exception as e:
-    content = f"ERROR: {e}"
-    mtime = 0.0
-    error = True
-   items.append({"path": path, "entry": entry, "content": content, "error": error, "mtime": mtime, "tier": tier, "auto_aggregate": auto_aggregate, "force_full": force_full})
- return items
+ with get_monitor().scope("build_file_items"):
+  items: list[dict[str, Any]] = []
+  for entry_raw in files:
+   if isinstance(entry_raw, dict):
+    entry = cast(str, entry_raw.get("path", ""))
+    tier = entry_raw.get("tier")
+    auto_aggregate = entry_raw.get("auto_aggregate", True)
+    force_full = entry_raw.get("force_full", False)
+   elif hasattr(entry_raw, "path"):
+    entry = entry_raw.path
+    tier = getattr(entry_raw, "tier", None)
+    auto_aggregate = getattr(entry_raw, "auto_aggregate", True)
+    force_full = getattr(entry_raw, "force_full", False)
+   else:
+    entry = entry_raw
+    tier = None
+    auto_aggregate = True
+    force_full = False
+   if not entry or not isinstance(entry, str):
+    continue
+   paths = resolve_paths(base_dir, entry)
+   if not paths:
+    items.append({"path": None, "entry": entry, "content": f"ERROR: no files matched: {entry}", "error": True, "mtime": 0.0, "tier": tier, "auto_aggregate": auto_aggregate, "force_full": force_full})
+    continue
+   for path in paths:
+    try:
+     content = path.read_text(encoding="utf-8")
+     mtime = path.stat().st_mtime
+     error = False
+    except FileNotFoundError:
+     content = f"ERROR: file not found: {path}"
+     mtime = 0.0
+     error = True
+    except Exception as e:
+     content = f"ERROR: {e}"
+     mtime = 0.0
+     error = True
+    items.append({"path": path, "entry": entry, "content": content, "error": error, "mtime": mtime, "tier": tier, "auto_aggregate": auto_aggregate, "force_full": force_full})
+  return items
 
 def build_summary_section(base_dir: Path, files: list[str | dict[str, Any]]) -> str:
  """
     Build a compact summary section using summarize.py — one short block per file.
     Used as the initial <context> block instead of full file contents.
     """
- items = build_file_items(base_dir, files)
- return summarize.build_summary_markdown(items)
+ with get_monitor().scope("build_summary_section"):
+  items = build_file_items(base_dir, files)
+  return summarize.build_summary_markdown(items)
 
 def _build_files_section_from_items(file_items: list[dict[str, Any]]) -> str:
  """Build the files markdown section from pre-read file items (avoids double I/O)."""
@@ -297,62 +300,64 @@ def build_tier3_context(file_items: list[dict[str, Any]], screenshot_base_dir: P
     Tier 3 Context: Execution/Worker.
     Full content for focus_files and files with tier=3, summaries/skeletons for others.
     """
- parts = []
- if file_items:
-  sections = []
-  for item in file_items:
-   if not item.get("auto_aggregate", True):
-    continue
-   path = cast(Path, item.get("path"))
-   entry = cast(str, item.get("entry", ""))
-   path_str = str(path) if path else ""
-   # Check if this file is in focus_files (by name or path)
-   is_focus = False
-   for focus in focus_files:
-    if focus == entry or (path and focus == path.name) or (path_str and focus in path_str):
-     is_focus = True
-     break
-   if is_focus or item.get("tier") == 3 or item.get("force_full"):
-    sections.append("### `" + (entry or path_str) + "`\n\n" + 
-     f"```{path.suffix.lstrip('.') if path and path.suffix else 'text'}\n{item.get('content', '')}\n```")
-   else:
-    content = cast(str, item.get("content", ""))
-    if path and path.suffix == ".py" and not item.get("error"):
-     try:
-      parser = ASTParser("python")
-      skeleton = parser.get_skeleton(content)
-      sections.append(f"### `{entry or path_str}` (AST Skeleton)\n\n```python\n{skeleton}\n```")
-     except Exception:
-     # Fallback to summary if AST parsing fails
-      sections.append(f"### `{entry or path_str}`\n\n" + summarize.summarise_file(path, content))
+ with get_monitor().scope("build_tier3_context"):
+  parts = []
+  if file_items:
+   sections = []
+   for item in file_items:
+    if not item.get("auto_aggregate", True):
+     continue
+    path = cast(Path, item.get("path"))
+    entry = cast(str, item.get("entry", ""))
+    path_str = str(path) if path else ""
+    # Check if this file is in focus_files (by name or path)
+    is_focus = False
+    for focus in focus_files:
+     if focus == entry or (path and focus == path.name) or (path_str and focus in path_str):
+      is_focus = True
+      break
+    if is_focus or item.get("tier") == 3 or item.get("force_full"):
+     sections.append("### `" + (entry or path_str) + "`\n\n" + 
+      f"```{path.suffix.lstrip('.') if path and path.suffix else 'text'}\n{item.get('content', '')}\n```")
     else:
-     if path:
-      sections.append(f"### `{entry or path_str}`\n\n" + summarize.summarise_file(path, content))
-  parts.append("## Files (Tier 3 - Focused)\n\n" + "\n\n---\n\n".join(sections))
- if screenshots:
-  parts.append("## Screenshots\n\n" + build_screenshots_section(screenshot_base_dir, screenshots))
- if history:
-  parts.append("## Discussion History\n\n" + build_discussion_section(history))
- return "\n\n---\n\n".join(parts)
+     content = cast(str, item.get("content", ""))
+     if path and path.suffix == ".py" and not item.get("error"):
+      try:
+       parser = ASTParser("python")
+       skeleton = parser.get_skeleton(content)
+       sections.append(f"### `{entry or path_str}` (AST Skeleton)\n\n```python\n{skeleton}\n```")
+      except Exception:
+      # Fallback to summary if AST parsing fails
+       sections.append(f"### `{entry or path_str}`\n\n" + summarize.summarise_file(path, content))
+     else:
+      if path:
+       sections.append(f"### `{entry or path_str}`\n\n" + summarize.summarise_file(path, content))
+   parts.append("## Files (Tier 3 - Focused)\n\n" + "\n\n---\n\n".join(sections))
+  if screenshots:
+   parts.append("## Screenshots\n\n" + build_screenshots_section(screenshot_base_dir, screenshots))
+  if history:
+   parts.append("## Discussion History\n\n" + build_discussion_section(history))
+  return "\n\n---\n\n".join(parts)
 
 def build_markdown(base_dir: Path, files: list[str | dict[str, Any]], screenshot_base_dir: Path, screenshots: list[str], history: list[str], summary_only: bool = False, execution_mode: str = "standard") -> str:
- parts = []
- # STATIC PREFIX: Files and Screenshots must go first to maximize Cache Hits
- if files:
-  if summary_only:
-   parts.append("## Files (Summary)\n\n" + build_summary_section(base_dir, files))
-  else:
-   parts.append("## Files\n\n" + build_files_section(base_dir, files))
- if screenshots:
-  parts.append("## Screenshots\n\n" + build_screenshots_section(screenshot_base_dir, screenshots))
- if execution_mode == "beads":
-  beads_md = build_beads_section(base_dir)
-  if beads_md:
-   parts.append(beads_md)
- # DYNAMIC SUFFIX: History changes every turn, must go last
- if history:
-  parts.append("## Discussion History\n\n" + build_discussion_section(history))
- return "\n\n---\n\n".join(parts)
+ with get_monitor().scope("build_markdown"):
+  parts = []
+  # STATIC PREFIX: Files and Screenshots must go first to maximize Cache Hits
+  if files:
+   if summary_only:
+    parts.append("## Files (Summary)\n\n" + build_summary_section(base_dir, files))
+   else:
+    parts.append("## Files\n\n" + build_files_section(base_dir, files))
+  if screenshots:
+   parts.append("## Screenshots\n\n" + build_screenshots_section(screenshot_base_dir, screenshots))
+  if execution_mode == "beads":
+   beads_md = build_beads_section(base_dir)
+   if beads_md:
+    parts.append(beads_md)
+  # DYNAMIC SUFFIX: History changes every turn, must go last
+  if history:
+   parts.append("## Discussion History\n\n" + build_discussion_section(history))
+  return "\n\n---\n\n".join(parts)
 
 def run(config: dict[str, Any], aggregation_strategy: str = "auto") -> tuple[str, Path, list[dict[str, Any]]]:
  namespace = config.get("project", {}).get("name")

src/dag_engine.py

@@ -28,6 +28,7 @@ See Also:
 """
 from typing import List
 from src.models import Ticket
+from src.performance_monitor import get_monitor
 
 class TrackDAG:
  """
@@ -87,29 +88,30 @@ class TrackDAG:
         Returns:
             True if a cycle is detected, False otherwise.
         """
-  visited = set()
-  rec_stack = set()
+  with get_monitor().scope("dag_has_cycle"):
+   visited = set()
+   rec_stack = set()
 
-  def is_cyclic(ticket_id: str) -> bool:
-   """Internal recursive helper for cycle detection."""
-   if ticket_id in rec_stack:
-    return True
-   if ticket_id in visited:
-    return False
-   visited.add(ticket_id)
-   rec_stack.add(ticket_id)
-   ticket = self.ticket_map.get(ticket_id)
-   if ticket:
-    for neighbor in ticket.depends_on:
-     if is_cyclic(neighbor):
-      return True
-   rec_stack.remove(ticket_id)
-   return False
-  for ticket in self.tickets:
-   if ticket.id not in visited:
-    if is_cyclic(ticket.id):
+   def is_cyclic(ticket_id: str) -> bool:
+    """Internal recursive helper for cycle detection."""
+    if ticket_id in rec_stack:
      return True
-  return False
+    if ticket_id in visited:
+     return False
+    visited.add(ticket_id)
+    rec_stack.add(ticket_id)
+    ticket = self.ticket_map.get(ticket_id)
+    if ticket:
+     for neighbor in ticket.depends_on:
+      if is_cyclic(neighbor):
+       return True
+    rec_stack.remove(ticket_id)
+    return False
+   for ticket in self.tickets:
+    if ticket.id not in visited:
+     if is_cyclic(ticket.id):
+      return True
+   return False
 
  def topological_sort(self) -> List[str]:
   """
@@ -119,24 +121,25 @@ class TrackDAG:
         Raises:
             ValueError: If a dependency cycle is detected.
         """
-  if self.has_cycle():
-   raise ValueError("Dependency cycle detected")
-  visited = set()
-  stack = []
+  with get_monitor().scope("dag_topological_sort"):
+   if self.has_cycle():
+    raise ValueError("Dependency cycle detected")
+   visited = set()
+   stack = []
 
-  def visit(ticket_id: str) -> None:
-   """Internal recursive helper for topological sorting."""
-   if ticket_id in visited:
-    return
-   visited.add(ticket_id)
-   ticket = self.ticket_map.get(ticket_id)
-   if ticket:
-    for dep_id in ticket.depends_on:
-     visit(dep_id)
-   stack.append(ticket_id)
-  for ticket in self.tickets:
-   visit(ticket.id)
-  return stack
+   def visit(ticket_id: str) -> None:
+    """Internal recursive helper for topological sorting."""
+    if ticket_id in visited:
+     return
+    visited.add(ticket_id)
+    ticket = self.ticket_map.get(ticket_id)
+    if ticket:
+     for dep_id in ticket.depends_on:
+      visit(dep_id)
+    stack.append(ticket_id)
+   for ticket in self.tickets:
+    visit(ticket.id)
+   return stack
 
 class ExecutionEngine:
  """
@@ -161,9 +164,10 @@ class ExecutionEngine:
         Returns:
             A list of ready Ticket objects.
         """
-  self.dag.cascade_blocks()
-  ready = self.dag.get_ready_tasks()
-  return ready
+  with get_monitor().scope("dag_tick"):
+   self.dag.cascade_blocks()
+   ready = self.dag.get_ready_tasks()
+   return ready
 
  def approve_task(self, task_id: str) -> None:
   """
@@ -185,4 +189,3 @@ class ExecutionEngine:
   ticket = self.dag.ticket_map.get(task_id)
   if ticket:
    ticket.status = status
-

src/gui_2.py

@@ -2348,15 +2348,21 @@ class App:
   if self.perf_profiling_enabled:
    imgui.separator()
    imgui.text("Detailed Component Timings (Moving Average)")
-   if imgui.begin_table("comp_timings", 3, imgui.TableFlags_.borders):
+   if imgui.begin_table("comp_timings", 6, imgui.TableFlags_.borders):
     imgui.table_setup_column("Component")
     imgui.table_setup_column("Avg (ms)")
+    imgui.table_setup_column("Count")
+    imgui.table_setup_column("Max (ms)")
+    imgui.table_setup_column("Min (ms)")
     imgui.table_setup_column("Graph")
     imgui.table_headers_row()
     for key, val in metrics.items():
      if key.startswith("time_") and key.endswith("_ms") and not key.endswith("_avg"):
       comp_name = key[5:-3]
       avg_val = metrics.get(f"{key}_avg", val)
+      count = int(metrics.get(f"count_{comp_name}", 0))
+      max_val = metrics.get(f"max_{comp_name}_ms", 0.0)
+      min_val = metrics.get(f"min_{comp_name}_ms", 0.0)
       imgui.table_next_row()
       imgui.table_next_column()
       imgui.text(comp_name)
@@ -2366,6 +2372,12 @@ class App:
       else:
        imgui.text(f"{avg_val:.2f}")
       imgui.table_next_column()
+      imgui.text(f"{count}")
+      imgui.table_next_column()
+      imgui.text(f"{max_val:.2f}")
+      imgui.table_next_column()
+      imgui.text(f"{min_val:.2f}")
+      imgui.table_next_column()
       self.perf_show_graphs.setdefault(comp_name, False)
       _, self.perf_show_graphs[comp_name] = imgui.checkbox(f"##g_{comp_name}", self.perf_show_graphs[comp_name])
     imgui.end_table()

src/performance_monitor.py

@@ -62,6 +62,18 @@ from collections import deque
 _instance: Optional[PerformanceMonitor] = None
 
 
+class PerformanceScope:
+ """Helper class for PerformanceMonitor.scope() context manager."""
+ def __init__(self, monitor: PerformanceMonitor, name: str) -> None:
+  self.monitor = monitor
+  self.name = name
+ def __enter__(self) -> PerformanceScope:
+  self.monitor.start_component(self.name)
+  return self
+ def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+  self.monitor.end_component(self.name)
+
+
 def get_monitor() -> PerformanceMonitor:
  global _instance
  if _instance is None:
@@ -90,6 +102,9 @@ class PerformanceMonitor:
   
   self._component_starts: dict[str, float] = {}
   self._component_timings: dict[str, float] = {}
+  self._component_counts: dict[str, int] = {}
+  self._component_max: dict[str, float] = {}
+  self._component_min: dict[str, float] = {}
   
   # Rolling history and running sums for O(1) average calculation
   # deques are thread-safe for appends and pops.
@@ -192,6 +207,11 @@ class PerformanceMonitor:
    elapsed = (now - start) * 1000
    with self._lock:
     self._component_timings[name] = elapsed
+    self._component_counts[name] = self._component_counts.get(name, 0) + 1
+    if name not in self._component_max or elapsed > self._component_max[name]:
+     self._component_max[name] = elapsed
+    if name not in self._component_min or elapsed < self._component_min[name]:
+     self._component_min[name] = elapsed
    self._add_to_history(f'comp_{name}', elapsed)
 
  def get_metrics(self) -> dict[str, float]:
@@ -203,6 +223,9 @@ class PerformanceMonitor:
    ilag = self._input_lag_ms
    last_calc_fps = self._last_calculated_fps
    timings_snapshot = dict(self._component_timings)
+   counts_snapshot = dict(self._component_counts)
+   max_snapshot = dict(self._component_max)
+   min_snapshot = dict(self._component_min)
   
   metrics = {
    'fps': fps,
@@ -217,6 +240,9 @@ class PerformanceMonitor:
   for name, elapsed in timings_snapshot.items():
    metrics[f'time_{name}_ms'] = elapsed
    metrics[f'time_{name}_ms_avg'] = self._get_avg(f'comp_{name}')
+   metrics[f'count_{name}'] = float(counts_snapshot.get(name, 0))
+   metrics[f'max_{name}_ms'] = max_snapshot.get(name, 0.0)
+   metrics[f'min_{name}_ms'] = min_snapshot.get(name, 0.0)
   return metrics
 
  def get_history(self, key: str) -> List[float]:
@@ -228,6 +254,10 @@ class PerformanceMonitor:
     return list(self._history[f'comp_{key}'])
   return []
 
+ def scope(self, name: str) -> PerformanceScope:
+  """Returns a context manager for timing a component."""
+  return PerformanceScope(self, name)
+
  def stop(self) -> None:
   self._stop_event.set()
   if self._cpu_thread.is_alive():