Problem
Not all 5,000 tracks deserve the same quality investment. Some tracks get played weekly, others haven't been played in years.
Proposal
Implement a play-frequency-based quality tier system:
| Tier |
Criteria |
Quality |
Cost/Track |
Track Count |
| Hero |
Played 10+/month |
Kling v1.5 Pro 1080p |
$15 |
~200 |
| Standard |
Played 1-9/month |
Wan 720p + hybrid |
$2.50 |
~1,300 |
| Background |
Played <1/month |
FFmpeg motion only |
$0.20 |
~3,500 |
Total: 200x$15 + 1,300x$2.50 + 3,500x$0.20 = $3,000 + $3,250 + $700 = $6,950
Implementation
- Pull play history from Lexicon DJ API (already integrated)
- Classify tracks into tiers based on play frequency
- Queue generation in tier order (heroes first)
- Allow manual tier override for specific tracks
- Auto-upgrade: when a "background" track gets played frequently, queue re-generation at higher quality
Files to Modify
src/lexicon.py -- add play history query
src/bulk_processor.py -- tier-based queue ordering
src/generator/quality_profiles.py -- add "background" profile (FFmpeg-only)
src/pipeline.py -- respect tier in generation path
Labels: cost-optimization, feature
Problem
Not all 5,000 tracks deserve the same quality investment. Some tracks get played weekly, others haven't been played in years.
Proposal
Implement a play-frequency-based quality tier system:
Total: 200x$15 + 1,300x$2.50 + 3,500x$0.20 = $3,000 + $3,250 + $700 = $6,950
Implementation
Files to Modify
src/lexicon.py-- add play history querysrc/bulk_processor.py-- tier-based queue orderingsrc/generator/quality_profiles.py-- add "background" profile (FFmpeg-only)src/pipeline.py-- respect tier in generation pathLabels: cost-optimization, feature