fortify-schema
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A modern TypeScript validation library designed around familiar interface syntax and powerful conditional validation. Experience schema validation that feels natural to TypeScript developers while unlocking advanced runtime validation capabilities.
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# Fortify Schema Edge Case Test Analysis
## Overview
This analysis examines the results of a comprehensive edge case test suite for the Fortify schema validation system. The tests focus on nested object validation with conditional field logic using a `when condition *? type : default` syntax.
## Test Results Summary
| Test Case | Status | Execution Time | Issues Found |
|-----------|--------|----------------|--------------|
| Null vs Undefined vs Empty | ✅ PASS | 2.15ms | ⚠️ Minor Issue |
| Deep Nesting Performance | ✅ PASS | 0.19ms | None |
| Numeric Edge Cases | ✅ PASS | 0.34ms | ⚠️ Data Loss |
| Array Edge Cases | ✅ PASS | 0.40ms | ⚠️ Type Coercion |
| Type Coercion Rejection | ✅ PASS | 0.24ms | None |
| Circular Reference Handling | ✅ PASS | 0.16ms | None |
| Special Characters in Paths | ✅ PASS | 0.12ms | None |
| Performance Stress Test | ✅ PASS | 2.43ms | None |
| Prototype Pollution Security | ✅ PASS | 0.15ms | None |
## Detailed Analysis
### 🟢 Strengths Identified
1. **Performance Excellence**
- All tests execute within 3ms, showing excellent performance
- Deep nesting (10 levels) handled efficiently (0.19ms)
- 100 conditional fields processed quickly (2.43ms)
2. **Robust Security**
- Proper type validation without coercion
- Circular reference handling without crashes
- Prototype pollution protection works correctly
3. **Feature Completeness**
- Special characters and Unicode in property paths work
- Complex nested object navigation functions properly
- Conditional field logic operates as expected
### 🟡 Issues and Concerns
#### 1. **Inconsistent Null/Undefined Handling (Test 1)**
**Issue**: The edge case analysis shows correct behavior, but there's a logical inconsistency in the test design.
```typescript
// Input has undefinedProp: undefined, but analysis shows it as not existing
// This might indicate the test logic needs clarification
```
**Recommendation**: Clarify whether `undefined` values should be treated as non-existent or present with undefined value.
#### 2. **Silent Data Loss in Numeric Edge Cases (Test 3)**
**Critical Issue**:
```json
// Input
"negativeFeature": -Infinity
// Output
"negativeFeature": null
```
**Impact**: `-Infinity` was silently converted to `null`, indicating potential data loss without validation errors.
**Recommendation**: The system should either:
- Accept `-Infinity` as a valid number
- Reject it with a clear validation error
- Document this behavior explicitly
#### 3. **Array Content Type Coercion (Test 4)**
**Issue**: Special numeric values in arrays are being coerced:
```json
// Input
"numbers": [NaN, Infinity, -Infinity, 0, -0]
// Output
"numbers": [null, null, null, 0, 0]
```
**Impact**: `NaN` and `Infinity` values are silently converted to `null`, potentially losing important data meaning.
### 🔴 Critical Findings
#### Data Integrity Concerns
The system appears to perform silent type coercion/sanitization without explicit validation errors. This could lead to:
1. **Loss of Important Data**: Scientific applications might need `NaN`, `Infinity`, or `-Infinity`
2. **Debugging Difficulties**: Silent conversions make it hard to trace data transformation issues
3. **Unexpected Behavior**: Users might not realize their data is being modified
## Recommendations
### Immediate Actions Required
1. **Fix Numeric Handling**
```typescript
// Consider adding explicit validation for edge numeric cases
if (value === -Infinity || value === Infinity || Number.isNaN(value)) {
// Either accept them or throw descriptive errors
}
```
2. **Add Validation Mode Options**
```typescript
Interface({...}).strict() // Reject any coercion
Interface({...}).lenient() // Allow current behavior
```
3. **Improve Error Messages**
- Add warnings for silent conversions
- Provide context about why values were transformed
### Enhancement Suggestions
1. **Add More Edge Cases**
```typescript
// Test cases to add:
- BigInt handling
- Symbol properties
- Frozen/sealed objects
- Proxy objects
- Arrays with holes (sparse arrays)
```
2. **Performance Benchmarking**
- Add memory usage tracking
- Test with larger datasets (1000+ fields)
- Benchmark against other validation libraries
3. **Developer Experience**
```typescript
// Add schema introspection
schema.describe() // Returns human-readable schema description
schema.generateExample() // Creates valid example object
```
## Test Coverage Assessment
### Well Covered ✅
- Basic type validation
- Nested object access
- Performance under load
- Security edge cases
- Special character handling
### Needs More Coverage ⚠️
- Mixed type arrays with complex validation rules
- Schema composition and inheritance
- Custom validation functions
- Internationalization (i18n) error messages
- Browser vs Node.js environment differences
## Conclusion
The Fortify schema system shows excellent performance and security characteristics, but has some concerning data integrity issues with numeric edge cases. The conditional field logic works well, but the silent data transformation behavior needs to be addressed to prevent unexpected data loss.
**Priority**: Fix numeric handling issues before production use.
**Overall Score**: 7.5/10 (would be 9/10 after fixing numeric issues)
## Next Steps
1. **High Priority**: Address numeric data loss issues
2. **Medium Priority**: Add validation mode options
3. **Low Priority**: Expand test coverage and add developer tools
The system shows great promise but needs refinement in edge case handling to be production-ready for critical applications.