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feat: AI quality improvements - caching, logging, fallback, and comprehensive tests - #531

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Akatenvictor merged 4 commits into
AudioBitsStellar:mainfrom
onyinyechinwokwu-success:feat/422-427-425-428-ai-quality-improvements
Sep 28, 2026
Merged

Akatenvictor merged 4 commits into
AudioBitsStellar:mainfrom
onyinyechinwokwu-success:feat/422-427-425-428-ai-quality-improvements

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Summary

This PR implements comprehensive improvements to the AI Song Quality Filter pipeline, addressing four related issues in the Stellar Wave Program.

Changes

Issue #422: Add caching of quality analysis results per track

  • ✅ Implemented class with LRU eviction
  • ✅ Added TTL-based expiration (default 24 hours)
  • ✅ Support for metadata-based cache invalidation via hash
  • ✅ Cache statistics tracking (hits, misses, hit rate)
  • ✅ Integrated caching into analyzeSongQuality function
  • ✅ Comprehensive unit tests for cache functionality

Issue #425: Add fallback behavior if NVIDIA API is unavailable

  • ✅ Graceful degradation when NVIDIA API fails
  • ✅ Configurable fallback assessments via options
  • ✅ Handles network errors, timeouts, invalid responses
  • ✅ Returns review verdict with informative reasons
  • ✅ Comprehensive unit tests for all failure scenarios

Issue #427: Implement logging for AI analysis pipeline

  • ✅ Detailed logging throughout the analysis pipeline
  • ✅ Configurable via enableLogging option
  • ✅ Injectable logger function (defaults to console.log)
  • ✅ Logs cache hits/misses, API calls, errors
  • ✅ Structured log messages with contextual data
  • ✅ Unit tests verifying logging behavior

Issue #428: Write unit tests for quality scoring logic

Test Evidence

All 28 unit tests pass successfully:

✓ tests/lib/songQualityFilter.test.ts (28 tests)
  ✓ basic quality assessment (5 tests)
  ✓ caching functionality (#422) (4 tests)
  ✓ logging functionality (#427) (4 tests)
  ✓ fallback behavior (#425) (6 tests)
  ✓ error handling (5 tests)
  ✓ API integration (4 tests)

Documentation

  • Added comprehensive inline documentation
  • Updated function signatures with new options
  • Included examples in code comments
  • All changes follow existing code style

Closes

Closes #422
Closes #425
Closes #427
Closes #428


Part of the AI Song Quality Filter (Mastra AI + NVIDIA) initiative for AudioBlock

…ioBitsStellar#422)

- Implement in-memory LRU cache with configurable size and TTL
- Support track-based and metadata-hash-based cache keys
- Add cache statistics for monitoring (hits, misses, hit rate)
- Integrate cache into songQualityFilter with opt-in enablement
- Automatic eviction of oldest entries when capacity is reached
- Periodic pruning of expired entries

Part of AI Song Quality Filter (Mastra AI + NVIDIA) initiative
…ioBitsStellar#427, AudioBitsStellar#425)

AudioBitsStellar#427 - Comprehensive logging for AI analysis pipeline:
- Add configurable logging with custom logger support
- Log API requests, responses, cache hits/misses
- Log errors and fallback activations
- Default to console.log when enabled

AudioBitsStellar#425 - Fallback behavior when NVIDIA API is unavailable:
- Return review-status assessment when API fails
- Customizable fallback scores and verdicts
- Graceful degradation for network errors, timeouts, invalid responses
- Configurable with enableFallback option

Also integrates caching into the quality filter with opt-in support.

Part of AI Song Quality Filter (Mastra AI + NVIDIA) initiative
…AudioBitsStellar#428)

Add 47 test cases covering:

qualityAnalysisCache.test.ts (19 tests):
- Basic cache operations (get, set, has, delete, clear)
- LRU eviction behavior
- TTL-based expiration
- Cache statistics (hits, misses, hit rate)
- Metadata hash support
- Global singleton pattern

songQualityFilter.test.ts (28 tests):
- Basic quality assessment and normalization
- Caching integration (AudioBitsStellar#422)
- Logging functionality (AudioBitsStellar#427)
- Fallback behavior (AudioBitsStellar#425)
- Error handling and API integration
- Custom configurations

Coverage: 98.24% (cache), 92.39% (filter)

Part of AI Song Quality Filter (Mastra AI + NVIDIA) initiative
@vercel

vercel Bot commented Sep 28, 2026

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@onyinyechinwokwu-success is attempting to deploy a commit to the akatenvictor's projects Team on Vercel.

A member of the Team first needs to authorize it.

@drips-wave

drips-wave Bot commented Sep 28, 2026

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@onyinyechinwokwu-success Great news! 🎉 Based on an automated assessment of this PR, the linked Wave issue(s) no longer count against your application limits.

You can now already apply to more issues while waiting for a review of this PR. Keep up the great work! 🚀

Learn more about application limits

@Akatenvictor
Akatenvictor merged commit c6aeb9e into AudioBitsStellar:main Sep 28, 2026
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