fixes

.slop_cache/summary_cache.json

@@ -214,5 +214,37 @@
  "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1044\\test_force_full0\\other.txt": {
   "hash": "04d61c0832f9cbc2a210334352425d2519890a0a5945da96ccc5bd9ff101c4d3",
   "summary": "This document is a simple text file containing ten lines of content, with the first eight lines previewed. Its purpose appears to be for basic data storage or as a placeholder.\n\n**Outline:**\n**TXT** \u2014 10 lines\npreview:\n```\nline1\nline2\nline3\nline4\nline5\nline6\nline7\nline8\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1064\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document contains a single line of text, \"content1\". Its purpose and key takeaways are limited to this singular piece of content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1065\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document, `file1.txt`, contains a single line of text: \"content1\". Its purpose is to present this specific content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1067\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document, `file1.txt`, contains a single line of text: \"content1\". Its purpose appears to be to hold this specific piece of content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1068\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document, `file1.txt`, contains a single line of text: \"content1\". Its purpose is to present this specific content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1069\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document, `file1.txt`, contains a single line of text: \"content1\". Its purpose appears to be to hold this specific piece of content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1070\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document, `file1.txt`, contains a single line of text: \"content1\". Its purpose appears to be to hold this specific piece of content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1071\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document contains a single line of text, \"content1\". Its purpose is to present this specific content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-1072\\test_auto_aggregate_skip0\\file1.txt": {
+  "hash": "d0b425e00e15a0d36b9b361f02bab63563aed6cb4665083905386c55d5b679fa",
+  "summary": "This document, `file1.txt`, contains a single line of text: \"content1\". Its purpose appears to be to hold this specific piece of content.\n\n**Outline:**\n**TXT** \u2014 1 lines\npreview:\n```\ncontent1\n```"
  }
 }

conductor/tracks.md

@@ -34,7 +34,7 @@ This file tracks all major tracks for the project. Each track has its own detail
    *Link: [./tracks/decouple_gui_log_loading_20260507/](./tracks/decouple_gui_log_loading_20260507/)*
    *Goal: Move Tkinter directory selection out of AppController and into gui_2.py.*
 
-7. [ ] **Track: Refactor Context Aggregation Pipeline**
+7. [~] **Track: Refactor Context Aggregation Pipeline**
    *Link: [./tracks/refactor_context_aggregation_pipeline_20260507/](./tracks/refactor_context_aggregation_pipeline_20260507/)*
    *Goal: Modernize src/aggregate.py and consolidate legacy tier builders.*
 

mock_debug_prompt.txt

@@ -44,3 +44,26 @@ PROMPT:
 role: tool
 Here are the results: {"content": "done"}
 ------------------
+--- MOCK INVOKED ---
+ARGS: ['tests/mock_gemini_cli.py']
+PROMPT:
+PATH: Epic Initialization — please produce tracks
+------------------
+--- MOCK INVOKED ---
+ARGS: ['tests/mock_gemini_cli.py']
+PROMPT:
+Please generate the implementation tickets for this track.
+------------------
+--- MOCK INVOKED ---
+ARGS: ['tests/mock_gemini_cli.py']
+PROMPT:
+Please read test.txt
+You are assigned to Ticket T1.
+Task Description: do something
+------------------
+--- MOCK INVOKED ---
+ARGS: ['tests/mock_gemini_cli.py']
+PROMPT:
+role: tool
+Here are the results: {"content": "done"}
+------------------

project_history.toml

@@ -9,5 +9,5 @@ active = "main"
 
 [discussions.main]
 git_commit = ""
-last_updated = "2026-05-09T17:31:54"
+last_updated = "2026-05-10T10:35:34"
 history = []

src/api_hooks.py

@@ -189,7 +189,7 @@ class HookHandler(BaseHTTPRequestHandler):
       result["tracks"] = _get_app_attr(app, "tracks", [])
       result["proposed_tracks"] = _get_app_attr(app, "proposed_tracks", [])
       result["mma_streams"] = _get_app_attr(app, "mma_streams", {})
-      result["mma_tier_usage"] = _get_app_attr(app, "mma_tier_usage", {})
+      result["tier_usage"] = _get_app_attr(app, "mma_tier_usage", {})
      finally: event.set()
     lock = _get_app_attr(app, "_pending_gui_tasks_lock")
     tasks = _get_app_attr(app, "_pending_gui_tasks")
@@ -212,6 +212,9 @@ class HookHandler(BaseHTTPRequestHandler):
       result["thinking"] = status in ["sending...", "running powershell..."]
       result["live"] = status in ["running powershell...", "fetching url...", "searching web...", "powershell done, awaiting AI..."]
       result["prior"] = _get_app_attr(app, "is_viewing_prior_session", False)
+      perf = _get_app_attr(app, "perf_monitor")
+      if perf:
+       result.update(perf.get_metrics())
      finally: event.set()
     lock = _get_app_attr(app, "_pending_gui_tasks_lock")
     tasks = _get_app_attr(app, "_pending_gui_tasks")

src/app_controller.py

@@ -216,7 +216,6 @@ class AppController:
    "Tier 3": {"input": 0, "output": 0, "provider": "gemini", "model": "gemini-2.5-flash-lite", "tool_preset": None},
    "Tier 4": {"input": 0, "output": 0, "provider": "gemini", "model": "gemini-2.5-flash-lite", "tool_preset": None},
   }
-  self.perf_monitor: performance_monitor.PerformanceMonitor = performance_monitor.PerformanceMonitor()
   self._last_telemetry_time: float = 0.0
   self._pending_gui_tasks: List[Dict[str, Any]] = []
   self._api_event_queue: List[Dict[str, Any]] = []
@@ -858,8 +857,13 @@ class AppController:
      for tier, data in new_usage.items():
       if tier in self.mma_tier_usage:
        # Update usage counts but keep selected model/provider if not in update
-       self.mma_tier_usage[tier]["input"] = data.get("input", self.mma_tier_usage[tier]["input"])
+       input_val = data.get("input")
-       self.mma_tier_usage[tier]["output"] = data.get("output", self.mma_tier_usage[tier]["output"])
+       if input_val is not None:
+        self.mma_tier_usage[tier]["input"] = input_val
+
+       output_val = data.get("output")
+       if output_val is not None:
+        self.mma_tier_usage[tier]["output"] = output_val
        if "model" in data: self.mma_tier_usage[tier]["model"] = data["model"]
        if "provider" in data: self.mma_tier_usage[tier]["provider"] = data["provider"]
       else:

src/performance_monitor.py

@@ -53,6 +53,7 @@ Integration:
  - Exposed via Hook API at /api/performance
 """
 from __future__ import annotations
+import sys
 import time
 import psutil
 import threading
@@ -241,6 +242,7 @@ class PerformanceMonitor:
    cpu = self._cpu_percent
    ilag = self._input_lag_ms
    last_calc_fps = self._last_calculated_fps
+   total_frames = float(self._frame_count)
    timings_snapshot = dict(self._component_timings)
    counts_snapshot = dict(self._component_counts)
    max_snapshot = dict(self._component_max)
@@ -254,7 +256,8 @@ class PerformanceMonitor:
    'cpu_percent': cpu,
    'cpu_percent_avg': self._get_avg('cpu_percent'),
    'input_lag_ms': ilag,
-   'input_lag_ms_avg': self._get_avg('input_lag_ms')
+   'input_lag_ms_avg': self._get_avg('input_lag_ms'),
+   'total_frames': total_frames
   }
   for name, elapsed in timings_snapshot.items():
    metrics[f'time_{name}_ms'] = elapsed