fix: addressed review comments from manjaroblack, round 1

This commit is contained in:
Murat Ozcan
2025-08-14 10:00:54 -05:00
parent 8d300dadf3
commit 147d444aeb
6 changed files with 488 additions and 541 deletions

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# Test Levels Framework
Comprehensive guide for determining appropriate test levels (unit, integration, E2E) for different scenarios.
## Test Level Decision Matrix
### Unit Tests
**When to use:**
- Testing pure functions and business logic
- Algorithm correctness
- Input validation and data transformation
- Error handling in isolated components
- Complex calculations or state machines
**Characteristics:**
- Fast execution (immediate feedback)
- No external dependencies (DB, API, file system)
- Highly maintainable and stable
- Easy to debug failures
**Example scenarios:**
```yaml
unit_test:
component: "PriceCalculator"
scenario: "Calculate discount with multiple rules"
justification: "Complex business logic with multiple branches"
mock_requirements: "None - pure function"
```
### Integration Tests
**When to use:**
- Component interaction verification
- Database operations and transactions
- API endpoint contracts
- Service-to-service communication
- Middleware and interceptor behavior
**Characteristics:**
- Moderate execution time
- Tests component boundaries
- May use test databases or containers
- Validates system integration points
**Example scenarios:**
```yaml
integration_test:
components: ["UserService", "AuthRepository"]
scenario: "Create user with role assignment"
justification: "Critical data flow between service and persistence"
test_environment: "In-memory database"
```
### End-to-End Tests
**When to use:**
- Critical user journeys
- Cross-system workflows
- Visual regression testing
- Compliance and regulatory requirements
- Final validation before release
**Characteristics:**
- Slower execution
- Tests complete workflows
- Requires full environment setup
- Most realistic but most brittle
**Example scenarios:**
```yaml
e2e_test:
journey: "Complete checkout process"
scenario: "User purchases with saved payment method"
justification: "Revenue-critical path requiring full validation"
environment: "Staging with test payment gateway"
```
## Test Level Selection Rules
### Favor Unit Tests When:
- Logic can be isolated
- No side effects involved
- Fast feedback needed
- High cyclomatic complexity
### Favor Integration Tests When:
- Testing persistence layer
- Validating service contracts
- Testing middleware/interceptors
- Component boundaries critical
### Favor E2E Tests When:
- User-facing critical paths
- Multi-system interactions
- Regulatory compliance scenarios
- Visual regression important
## Anti-patterns to Avoid
- E2E testing for business logic validation
- Unit testing framework behavior
- Integration testing third-party libraries
- Duplicate coverage across levels
## Duplicate Coverage Guard
**Before adding any test, check:**
1. Is this already tested at a lower level?
2. Can a unit test cover this instead of integration?
3. Can an integration test cover this instead of E2E?
**Coverage overlap is only acceptable when:**
- Testing different aspects (unit: logic, integration: interaction, e2e: user experience)
- Critical paths requiring defense in depth
- Regression prevention for previously broken functionality
## Test Naming Conventions
- Unit: `test_{component}_{scenario}`
- Integration: `test_{flow}_{interaction}`
- E2E: `test_{journey}_{outcome}`
## Test ID Format
`{EPIC}.{STORY}-{LEVEL}-{SEQ}`
Examples:
- `1.3-UNIT-001`
- `1.3-INT-002`
- `1.3-E2E-001`

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# Test Priorities Matrix
Guide for prioritizing test scenarios based on risk, criticality, and business impact.
## Priority Levels
### P0 - Critical (Must Test)
**Criteria:**
- Revenue-impacting functionality
- Security-critical paths
- Data integrity operations
- Regulatory compliance requirements
- Previously broken functionality (regression prevention)
**Examples:**
- Payment processing
- Authentication/authorization
- User data creation/deletion
- Financial calculations
- GDPR/privacy compliance
**Testing Requirements:**
- Comprehensive coverage at all levels
- Both happy and unhappy paths
- Edge cases and error scenarios
- Performance under load
### P1 - High (Should Test)
**Criteria:**
- Core user journeys
- Frequently used features
- Features with complex logic
- Integration points between systems
- Features affecting user experience
**Examples:**
- User registration flow
- Search functionality
- Data import/export
- Notification systems
- Dashboard displays
**Testing Requirements:**
- Primary happy paths required
- Key error scenarios
- Critical edge cases
- Basic performance validation
### P2 - Medium (Nice to Test)
**Criteria:**
- Secondary features
- Admin functionality
- Reporting features
- Configuration options
- UI polish and aesthetics
**Examples:**
- Admin settings panels
- Report generation
- Theme customization
- Help documentation
- Analytics tracking
**Testing Requirements:**
- Happy path coverage
- Basic error handling
- Can defer edge cases
### P3 - Low (Test if Time Permits)
**Criteria:**
- Rarely used features
- Nice-to-have functionality
- Cosmetic issues
- Non-critical optimizations
**Examples:**
- Advanced preferences
- Legacy feature support
- Experimental features
- Debug utilities
**Testing Requirements:**
- Smoke tests only
- Can rely on manual testing
- Document known limitations
## Risk-Based Priority Adjustments
### Increase Priority When:
- High user impact (affects >50% of users)
- High financial impact (>$10K potential loss)
- Security vulnerability potential
- Compliance/legal requirements
- Customer-reported issues
- Complex implementation (>500 LOC)
- Multiple system dependencies
### Decrease Priority When:
- Feature flag protected
- Gradual rollout planned
- Strong monitoring in place
- Easy rollback capability
- Low usage metrics
- Simple implementation
- Well-isolated component
## Test Coverage by Priority
| Priority | Unit Coverage | Integration Coverage | E2E Coverage |
| -------- | ------------- | -------------------- | ------------------ |
| P0 | >90% | >80% | All critical paths |
| P1 | >80% | >60% | Main happy paths |
| P2 | >60% | >40% | Smoke tests |
| P3 | Best effort | Best effort | Manual only |
## Priority Assignment Rules
1. **Start with business impact** - What happens if this fails?
2. **Consider probability** - How likely is failure?
3. **Factor in detectability** - Would we know if it failed?
4. **Account for recoverability** - Can we fix it quickly?
## Priority Decision Tree
```
Is it revenue-critical?
├─ YES → P0
└─ NO → Does it affect core user journey?
├─ YES → Is it high-risk?
│ ├─ YES → P0
│ └─ NO → P1
└─ NO → Is it frequently used?
├─ YES → P1
└─ NO → Is it customer-facing?
├─ YES → P2
└─ NO → P3
```
## Test Execution Order
1. Execute P0 tests first (fail fast on critical issues)
2. Execute P1 tests second (core functionality)
3. Execute P2 tests if time permits
4. P3 tests only in full regression cycles
## Continuous Adjustment
Review and adjust priorities based on:
- Production incident patterns
- User feedback and complaints
- Usage analytics
- Test failure history
- Business priority changes