Test Strategy Review - Executive Summary¶
Project: Infinigram RecursiveInfinigram System Date: 2025-10-22 Reviewer: Claude Code (TDD Expert System)
Overall Assessment: GOOD with Critical Gaps¶
Coverage Summary¶
| Module | Coverage | Status | Priority |
|---|---|---|---|
scoring.py |
100% | ✅ Excellent | Maintain |
evaluation.py |
93% | ✅ Very Good | Low |
recursive.py |
41% | ⚠️ Needs Work | HIGH |
Test Suite Quality: 7/10¶
Strengths: - Exemplary behavioral testing in scoring module - Strong mathematical property verification - Good test organization and naming - Minimal implementation coupling
Weaknesses: - Core transformation logic largely untested - Integration paths incomplete - Edge case coverage insufficient - 41% coverage in most critical module
Key Findings¶
🎯 What's Working Exceptionally Well¶
1. Scoring Module Tests (100% coverage)
# Example of excellent behavioral test
def test_longer_match_higher_score(self):
"""Longer matches should score higher."""
score_long = scorer.score(..., match_length=15, ...)
score_short = scorer.score(..., match_length=5, ...)
assert score_long > score_short # Tests behavior, not implementation
This is textbook TDD: - Tests the contract ("longer matches score higher") - Would pass even if scoring algorithm completely changed - Clear, focused assertion - Enables fearless refactoring
2. Evaluation Framework Tests (93% coverage) - Comprehensive end-to-end evaluation flow - Metrics calculation verified - Model comparison framework tested - Only missing: verbose logging and edge cases
⚠️ What Needs Immediate Attention¶
1. RecursiveInfinigram Core Logic (41% coverage)
Untested Critical Paths:
- ❌ SynonymTransformer.generate_transformations() - Core OOD handling
- ❌ EditDistanceTransformer.generate_transformations() - Typo correction
- ❌ _combine_predictions() - Weighted prediction merging
- ❌ Corpus inspection logic - How transformations are discovered
- ❌ Word replacement in context - Transformation application
Risk: - Core innovation (OOD generalization) is largely untested - Refactoring would be dangerous - Bugs could hide in untested paths
2. Integration Paths
Missing end-to-end tests for: - Context → Transformer → Scorer → Predictor flow - Conservative vs Aggressive scorer impact - Multiple transformations in sequence - Transformation explanation generation
Immediate Action Items¶
Priority 1: Critical Tests (Add in next 2 days)¶
Test prediction combining:
def test_combine_overlapping_predictions_sum(self):
"""Multiple predictions for same byte are correctly weighted."""
weighted_predictions = [
({65: 0.5}, 0.5),
({65: 0.8}, 0.5),
]
result = model._combine_predictions(weighted_predictions)
# Should combine: (0.5*0.5 + 0.8*0.5) = 0.65, normalized to 1.0
Test edit distance accuracy:
def test_edit_distance_calculation_is_accurate(self):
"""Levenshtein distance calculation matches expected values."""
assert transformer._edit_distance(b"cat", b"cat") == 0
assert transformer._edit_distance(b"cat", b"bat") == 1
assert transformer._edit_distance(b"kitten", b"sitting") == 3
Expected Impact: Coverage 41% → 60%
Priority 2: Integration Tests (Add in next week)¶
Create tests/test_recursive_integration.py:
- End-to-end typo correction → prediction
- End-to-end synonym handling → prediction
- Scorer impact on transformation selection
Expected Impact: Coverage 60% → 75%
Priority 3: Robustness (Add in next 2 weeks)¶
- Empty corpus/context edge cases
- Unicode handling
- Very deep recursion
- Large beam widths
Expected Impact: Coverage 75% → 85%
Test Quality Comparison¶
Excellent Example (from test_scoring.py)¶
def test_fewer_transformations_higher_score(self):
"""Fewer transformations should score higher."""
# No transformations (original)
score_original = scorer.score(transformations=[])
# One transformation
score_one = scorer.score(transformations=["synonym:quick->fast"])
# Multiple transformations
score_multi = scorer.score(
transformations=["synonym:quick->fast", "typo:fox->foks"]
)
assert score_original > score_one > score_multi
Why this is excellent: - ✅ Tests observable behavior (scoring order) - ✅ Would pass even if scoring formula changed - ✅ Clear property being tested - ✅ Self-documenting test name - ✅ Enables refactoring with confidence
Weak Example (from test_recursive.py)¶
def test_edit_distance_transformer(self):
"""Test edit distance / typo correction."""
transformer = EditDistanceTransformer(max_distance=2)
transformations = transformer.generate_transformations(...)
# Should work without errors
assert isinstance(transformations, list) # ⚠️ Too weak!
Why this needs improvement: - ❌ Only checks type, not behavior - ❌ Doesn't verify transformations are correct - ❌ Doesn't test max_distance is respected - ❌ Doesn't test edit distance calculation - ❌ Comment admits test is incomplete
Coverage Goals¶
3-Month Plan¶
| Milestone | Timeline | Target Coverage | Key Additions |
|---|---|---|---|
| Phase 1 | Week 1 | recursive: 60% | Prediction combining, edit distance |
| Phase 2 | Week 2-3 | recursive: 75% | Integration tests, end-to-end flows |
| Phase 3 | Week 4-6 | recursive: 85% | Robustness, edge cases |
| Phase 4 | Week 7-12 | recursive: 85%+ | Property-based tests, stress tests |
Target Final State¶
infinigram/
├── scoring.py 100% ████████████████████ (maintain)
├── evaluation.py 98% ███████████████████▓ (small gap fixes)
└── recursive.py 85% █████████████████░░░ (major improvement)
Test Organization Recommendation¶
Current Structure¶
tests/
├── test_recursive.py (10 tests) - Basic only
├── test_scoring.py (33 tests) - Excellent
├── test_evaluation.py (20 tests) - Very good
└── test_*_integration.py (failing due to numpy)
Recommended Structure¶
tests/
├── test_recursive.py # Keep: Core RecursiveInfinigram tests
├── test_transformers.py # NEW: Dedicated transformer tests
├── test_recursive_integration.py # NEW: End-to-end workflows
├── test_scoring.py # Keep: Already excellent
├── test_evaluation.py # Keep: Already good
└── test_edge_cases.py # NEW: Robustness tests
Concrete Next Steps¶
This Week¶
- Add
TestPredictionCombiningclass totest_recursive.py(5 tests) - Add
TestTransformerEdgeCasesclass totest_recursive.py(7 tests) - Add
TestRecursiveTransformDepthAndBeamclass (3 tests)
Files Changed: 1 (tests/test_recursive.py)
Lines Added: ~200
Coverage Gain: 41% → 60% (+19%)
Next Week¶
- Create
tests/test_recursive_integration.py(10-15 tests) - Add end-to-end transformation → prediction tests
- Add scorer integration tests
Files Changed: 1 new file Lines Added: ~300 Coverage Gain: 60% → 75% (+15%)
Next Two Weeks¶
- Add robustness tests to
test_recursive.py(10 tests) - Fix remaining evaluation.py gaps (2 tests)
- Add property-based tests with Hypothesis (optional)
Files Changed: 2 (test_recursive.py, test_evaluation.py)
Lines Added: ~200
Coverage Gain: 75% → 85% (+10%), eval: 93% → 98%
Risk Assessment¶
High Risk (Current State)¶
- Core transformation logic untested (41% coverage)
- Refactoring recursive.py would be dangerous
- Bug fixes lack safety net
- OOD generalization (main innovation) not verified by tests
Low Risk (After Improvements)¶
- 85% coverage provides good safety net
- Core logic paths verified
- Integration flows tested
- Edge cases covered
- Confident refactoring enabled
Conclusion¶
The Infinigram test suite shows strong TDD practices in scoring and evaluation, but critical gaps in the recursive transformation system. The good news: the existing test structure is sound and can easily accommodate the needed improvements.
Key Insight: The scoring module tests are an excellent template. Applying the same behavioral testing approach to the recursive module will bring the entire codebase to production-ready test quality.
Recommendation: Prioritize recursive.py test additions immediately. The 41% coverage represents untested core innovation (OOD handling). Adding 15-20 focused tests in the next week will dramatically improve confidence in the system.
Documentation Provided¶
- TEST_STRATEGY_REVIEW.md - Comprehensive 5000+ word analysis
- PRIORITY_TESTS_TO_ADD.md - Copy-paste-ready test code
- TEST_REVIEW_SUMMARY.md (this file) - Executive summary
All test additions can be made without changing implementation code. Tests verify existing behavior and will enable confident future refactoring.