chore(perf): Save state before comprehensive entropy cleanup

.slop_cache/summary_cache.json

@@ -14,5 +14,61 @@
  "C:\\projects\\manual_slop\\tests\\test_saved_presets_sim.py": {
   "hash": "4b059b49282ecaede5171f4e0ad0ca789d00f9794b4c8e7bea1b95b7cd66c3b4",
   "summary": "This Python file contains tests for the preset management functionality of the `manual_slop` application, specifically focusing on how global and project-specific presets are loaded, applied, and managed through a GUI interface.\n\n*   **Environment Setup:** Initializes a temporary workspace with necessary configuration files for testing.\n*   **Preset Switching:** Tests the ability to apply global and project presets, verifying that project-specific presets can override global ones and that selecting \"None\" correctly clears the active preset.\n*   **Preset Manager Modal:** Simulates interactions with a modal to create and delete presets, verifying that changes are correctly persisted to the respective TOML files.\n\n**Outline:**\n**Python** \u2014 167 lines\nimports: json, os, pathlib, pytest, shutil, src, time, tomli_w, tomllib\nfunctions: test_env_setup, test_preset_switching, test_preset_manager_modal"
+ },
+ "C:\\projects\\manual_slop\\conductor\\product.md": {
+  "hash": "7f8036b634e92710f64641bd82f8d4804fd630af0fc0e02eafd42ca0b57bc0c4",
+  "summary": "\"Manual Slop\" is an expert-level developer utility designed for small projects, offering granular manual control over vendor API metrics, agent capabilities, and context memory. Its key features include a 4-tier hierarchical multi-model architecture, strict memory siloing with AST-based interface extraction, explicit execution control, and parallel multi-agent/tool execution, all managed through a comprehensive observability dashboard.\n\n**Outline:**\n**Markdown** \u2014 113 lines\nheadings:\n  Product Guide: Manual Slop\n    Vision\n    Architecture Reference\n    Primary Use Cases\n    Key Features"
+ },
+ "C:\\projects\\manual_slop\\conductor\\tracks\\data_oriented_optimization_20260312\\plan.md": {
+  "hash": "5fa509d92864e7c084b1709ab11f0be93ec761a38d3dd58ab0727fdeb5d64f86",
+  "summary": "This document outlines a four-phase plan to optimize Python code for data-oriented performance. The plan involves establishing guidelines, profiling existing code, refactoring identified bottlenecks, and finally evaluating the results and documenting further optimization opportunities.\n\n**Outline:**\n**Markdown** \u2014 27 lines\nheadings:\n  Implementation Plan: Data-Oriented Python Optimization Pass\n    Phase 1: Guidelines and Instrumentation\n    Phase 2: Audit and Profiling (`src/` and `simulation/`)\n    Phase 3: Targeted Optimization and Refactoring\n    Phase 4: Final Evaluation and Documentation"
+ },
+ "C:\\projects\\manual_slop\\src\\performance_monitor.py": {
+  "hash": "831716b8010ca0ce571d52db1fe1030a57e6027c276cca819d41d571ed634299",
+  "summary": "This module implements a thread-safe `PerformanceMonitor` singleton for real-time tracking of application performance metrics, including FPS, frame times, and CPU usage, with efficient O(1) moving averages.\n\n*   **Core Functionality:** Tracks FPS, frame duration, and CPU utilization.\n*   **Component Timing:** Allows timing of specific code sections using `start_component`/`end_component`.\n*   **Moving Averages:** Utilizes `deque` and running sums for efficient O(1) calculation of rolling averages.\n*   **CPU Monitoring:** Employs a background thread to periodically poll CPU percentage.\n*   **Singleton Pattern:** Accessible globally via the `get_monitor()` function.\n\n**Outline:**\n**Python** \u2014 235 lines\nimports: __future__, collections, psutil, threading, time, typing\nclass PerformanceMonitor: __init__, _monitor_cpu, _add_to_history, _get_avg, start_frame, end_frame, start_component, end_component, get_metrics, get_history, stop\nfunctions: get_monitor"
+ },
+ "C:\\projects\\manual_slop\\tests\\test_performance_monitor.py": {
+  "hash": "19d4b8a0e105e6549da69400b23fb31cc0dd11a3694fa273c78863034e58e8d3",
+  "summary": "This file contains unit tests for the `PerformanceMonitor` class, verifying its ability to track frame and component-specific execution times.\n\n*   Tests basic frame timing.\n*   Tests timing of individual components within a frame.\n\n**Outline:**\n**Python** \u2014 28 lines\nimports: os, performance_monitor, sys, time\nfunctions: test_perf_monitor_basic_timing, test_perf_monitor_component_timing"
+ },
+ "C:\\projects\\manual_slop\\src\\events.py": {
+  "hash": "ae440a6eb72b5cd76253c70a012aace900890b9dafe5027e341c69a5423fdefa",
+  "summary": "**Python** \u2014 161 lines\nimports: queue, typing\nclass EventEmitter: __init__, on, emit, clear\nclass AsyncEventQueue: __init__, put, get, empty, task_done, join\nclass UserRequestEvent: __init__, to_dict"
+ },
+ "C:\\Users\\Ed\\AppData\\Local\\Temp\\pytest-of-Ed\\pytest-843\\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-843\\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-844\\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-844\\test_force_full0\\other.txt": {
+  "hash": "04d61c0832f9cbc2a210334352425d2519890a0a5945da96ccc5bd9ff101c4d3",
+  "summary": "This document is a plain text file containing ten lines of content, with the first eight lines previewed. Its purpose appears to be simply to store and present this sequential text.\n\n**Outline:**\n**TXT** \u2014 10 lines\npreview:\n```\nline1\nline2\nline3\nline4\nline5\nline6\nline7\nline8\n```"
+ },
+ "other.py": {
+  "hash": "0f8d9a2c864001b5c6492122310ba2a1346db67609fe815c070cab8a548ce27f",
+  "summary": "This file appears to contain invalid Python syntax, preventing its analysis.\n\n*   **Primary Responsibility:** Undetermined due to syntax errors.\n*   **Key Components:** None identifiable.\n\n**Outline:**\n**Python** \u2014 1 lines\n_Parse error: invalid syntax (other.py, line 1)_"
+ },
+ "tier3_file.txt": {
+  "hash": "1e55d54976d9d709d6f0a029a6761c4c9bee2250c9ce68c4804349f27ab210cb",
+  "summary": "This document, titled \"Full Tier 3 Content,\" appears to be a placeholder or a basic structure containing ten lines of text. Its primary purpose is likely to serve as a template or a minimal content example.\n\n**Outline:**\n**TXT** \u2014 10 lines\npreview:\n```\nFull Tier 3 Content\nLine 2\nLine 3\nLine 4\nLine 5\nLine 6\nLine 7\nLine 8\n```"
+ },
+ "other.txt": {
+  "hash": "cb3b5cb91da29dfdd685b44a33c6629e66505a691b2459e20dd556a705ec7cb8",
+  "summary": "This document, titled \"Other Content,\" contains ten lines of text. It appears to be a simple placeholder or a list of generic content lines.\n\n**Outline:**\n**TXT** \u2014 10 lines\npreview:\n```\nOther Content\nLine 2\nLine 3\nLine 4\nLine 5\nLine 6\nLine 7\nLine 8\n```"
+ },
+ "tier1_file.txt": {
+  "hash": "3ce2c835f9705e6eb4ccf87d7a4ed9d9f2b91659712beb0618d7009215a84792",
+  "summary": "This document, titled \"Full Tier 1 Content,\" appears to be a placeholder or introductory text, with its primary content being \"Line 2.\"\n\n**Outline:**\n**TXT** \u2014 2 lines\npreview:\n```\nFull Tier 1 Content\nLine 2\n```"
+ },
+ "C:\\projects\\manual_slop\\src\\multi_agent_conductor.py": {
+  "hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "summary": "This Python module orchestrates the execution of multiple agents, managing their interactions and coordinating their tasks to achieve a common goal.\n\n*   Manages agent lifecycle and communication.\n*   Facilitates task delegation and result aggregation.\n*   Implements a central control loop for agent coordination.\n\n**Outline:**\n**Python** \u2014 0 lines"
  }
 }