Phase 04 Plan 02: Interactive Dashboard Summary

Flask dashboard with benchmark routes, 4-column comparison view, consensus detection, and graceful LLM degradation

Performance

• Duration: 8 min
• Started: 2026-02-20T13:47:00Z
• Completed: 2026-02-20T13:55:01Z
• Tasks: 3
• Files modified: 8

Accomplishments

• /benchmark route with form to run batch benchmarks with configurable limit and K
• /benchmark/quick route for fast 20-query benchmark
• Side-by-side 4-column comparison view showing Google, Jina, MiniLM, and LLM results
• Per-model latency badges in column headers
• Consensus/divergent badges showing when models agree or disagree
• Graceful handling when GOOGLE_API_KEY not set (shows N/A for LLM)
• Per-model timing in benchmarks using new search_single_model function

Task Commits

Each task was committed atomically:

1. Task 1: Extend Flask app with benchmark route and results view - 6a923444 (feat)
2. Task 2: Create side-by-side comparison view with enhanced metrics display - 166eade1 (feat)
3. Task 3: Fix bugs from checkpoint feedback - 9ca2e55e (fix)

Files Created/Modified

• src/templates/benchmark.html - Benchmark form and results table with accuracy highlighting
• src/templates/comparison.html - 4-column responsive grid with consensus badges
• src/app.py - Routes for /benchmark, /benchmark/quick, /compare
• src/search/pgvector_search.py - Added search_single_model for individual model search
• src/evaluation/benchmark.py - Added skip_llm parameter and per-model timing
• src/templates/search.html - Updated with navigation and latency display

Decisions Made

• Use consensus['values'] instead of consensus.values in Jinja2 to avoid accessing dict method
• Track latency per embedding model individually rather than splitting total time by 3
• Show N/A for LLM results when GOOGLE_API_KEY environment variable not set
• Embedding models show N/A for CC accuracy since they don't predict cost center

Deviations from Plan

Auto-fixed Issues

1. [Rule 1 - Bug] Fixed Jinja2 TypeError in comparison template

• Found during: Task 3 (checkpoint feedback)
• Issue: consensus.values accessed dict method instead of dict key
• Fix: Changed to consensus['values'] for correct key access
• Files modified: src/templates/comparison.html
• Verification: Compare page renders without 500 error
• Committed in: 9ca2e55e

2. [Rule 1 - Bug] Fixed identical latency for all embedding models

• Found during: Task 3 (checkpoint feedback)
• Issue: All 3 embedding models shared same timing from search_all_models call
• Fix: Added search_single_model function and call each model separately for accurate timing
• Files modified: src/search/pgvector_search.py, src/evaluation/benchmark.py
• Verification: Benchmark shows different latency per model
• Committed in: 9ca2e55e

3. [Rule 2 - Missing Critical] Added graceful LLM error handling

• Found during: Task 3 (checkpoint feedback)
• Issue: Benchmark crashed when GOOGLE_API_KEY not set
• Fix: Added skip_llm parameter, detect missing API key, show N/A in results
• Files modified: src/evaluation/benchmark.py, src/templates/benchmark.html
• Verification: Benchmark runs successfully without LLM API key
• Committed in: 9ca2e55e

Total deviations: 3 auto-fixed (2 bugs, 1 missing critical) Impact on plan: All fixes necessary for correct dashboard functionality. No scope creep.

Issues Encountered

• Cost tracking shows $0.00 for all models because token counts are not populated in SearchResult. This is expected - embedding APIs don't return token counts in responses. Cost estimation requires separate token counting which was not in scope for this plan.

User Setup Required

None - dashboard works without API keys (LLM shows N/A).

Next Phase Readiness

• Dashboard fully functional for search, comparison, and benchmarking
• Ready for Phase 5: Reporting and LLM Judge
• Full benchmark can be run when GOOGLE_API_KEY is configured for LLM results

Phase: 04-evaluation-dashboard Completed: 2026-02-20

Self-Check: PASSED

All files and commits verified:

• FOUND: src/templates/benchmark.html
• FOUND: src/templates/comparison.html
• FOUND: src/app.py
• FOUND: src/search/pgvector_search.py
• FOUND: src/evaluation/benchmark.py
• FOUND: 6a923444 (Task 1)
• FOUND: 166eade1 (Task 2)
• FOUND: 9ca2e55e (Task 3)