WIP almost done with track planning

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2026-03-06 15:00:15 -05:00
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# Cache Analytics Display
**Track ID:** cache_analytics_20260306
**Status:** Planned
**See Also:**
- [Spec](./spec.md)
- [Plan](./plan.md)

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{
"id": "cache_analytics_20260306",
"name": "Cache Analytics Display",
"status": "planned",
"created_at": "2026-03-06T00:00:00Z",
"updated_at": "2026-03-06T00:00:00Z",
"type": "feature",
"priority": "medium"
}

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# Implementation Plan: Cache Analytics Display (cache_analytics)
# Implementation Plan: Cache Analytics Display (cache_analytics_20260306)
## Phase 1: Research & Design
- [ ] Task: Analyze existing backend implementation
- [ ] Task: Design GUI/UX approach
- [ ] Task: Conductor - User Manual Verification
## Phase 1: Cache Stats Integration
- [ ] Task: Initialize MMA Environment
- [ ] Task: Verify get_gemini_cache_stats
- WHERE: src/ai_client.py
- WHAT: Check existing function
- HOW: Review implementation
## Phase 2: Implementation
- [ ] Task: Implement feature
- [ ] Task: Write tests
- [ ] Task: Conductor - User Manual Verification
## Phase 2: Panel Implementation
- [ ] Task: Create cache panel
- WHERE: src/gui_2.py
- WHAT: Display cache stats
- HOW: imgui widgets
- SAFETY: Handle no cache
## Phase 3: Verification
- [ ] Task: Run test suite
- [ ] Task: Verify coverage
- [ ] Task: Conductor - Phase Completion Verification
## Phase 3: TTL & Controls
- [ ] Task: Display TTL countdown
- WHERE: src/gui_2.py
- WHAT: Time until cache rebuild
- HOW: Calculate from cache_created_at
- [ ] Task: Add clear button
- WHERE: src/gui_2.py
- WHAT: Manual cache clear
- HOW: Call ai_client.cleanup()
## Phase 4: Verification
- [ ] Task: Test cache display
- [ ] Task: Conductor - Phase Verification

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# Track Specification: Cache Analytics Display
# Track Specification: Cache Analytics Display (cache_analytics_20260306)
## Overview
Gemini cache hit/miss visualization and TTL status.
Gemini cache hit/miss visualization, memory usage, TTL status display. Uses existing ai_client.get_gemini_cache_stats() which is not displayed in GUI.
## Current State Audit
### Already Implemented
- get_gemini_cache_stats() in ai_client.py
- Cache creation/deletion
### Gaps to Fill
- No GUI display
- No hit/miss tracking
## Goals
- Cache status panel
- Hit/miss ratio
- TTL countdown
## Architectural Constraints
- **Non-Blocking**: Cache queries MUST NOT block UI.
- **Efficient Polling**: Cache stats SHOULD be polled, not pushed.
## Functional Requirements
- Cache size display
- TTL visualization
- Manual cache clear
- **Cache Status**: Display active cache count and size.
- **Hit/Miss Ratio**: Calculate and display cache efficiency.
- **TTL Countdown**: Show time until next cache rebuild.
- **Manual Clear**: Button to manually clear cache.
## Non-Functional Requirements
- Non-blocking UI updates
## Acceptance Criteria
- [ ] Cache panel displays in GUI.
- [ ] Hit/miss ratio calculated correctly.
- [ ] TTL countdown visible.
- [ ] Manual clear button works.
- [ ] Uses existing get_gemini_cache_stats().