# Item Specification Schemas - Complete Index

**Delivery Date:** 2025-01-29  
**Status:** COMPLETE ✓  
**Module:** `/src/tracertm/schemas/item_spec.py` (1,164 lines, 53 classes)

---

## Quick Navigation

### I Want To...

| Goal | Document | Section |
|------|----------|---------|
| **Get started quickly** | QUICK_REFERENCE | Top section |
| **See all available imports** | IMPORT_REFERENCE | All categories |
| **Understand the architecture** | DOCUMENTATION | Architecture Overview |
| **Create a schema instance** | QUICK_REFERENCE | Common Operations |
| **Find a specific enum** | IMPORT_REFERENCE | Enums (7) |
| **Learn about calculated fields** | DOCUMENTATION | Schema Responses |
| **Check validation rules** | DOCUMENTATION | Field Validation Rules |
| **Use in API endpoints** | IMPORT_REFERENCE | For REST API Endpoints |
| **See implementation examples** | QUICK_REFERENCE | Field Constraints Cheat Sheet |
| **Understand statistics** | DOCUMENTATION | Statistics Schemas |

---

## Documentation Files

### 1. **ITEM_SPEC_IMPORT_REFERENCE.md** ✓
**Best For:** Copy-paste imports, quick lookups  
**Length:** ~250 lines  
**Contents:**
- All 53 classes organized by type
- Usage examples for each spec type
- Import patterns (complete, by category, by function)
- Type hints for functions
- Migration guide
- Schema count summary

**Start Here If:** You need to import something

---

### 2. **ITEM_SPEC_SCHEMAS_QUICK_REFERENCE.md** ✓
**Best For:** Developer quick lookup, everyday use  
**Length:** ~400 lines  
**Contents:**
- Module location
- Enum quick reference table
- Schema patterns (Create/Update/Response)
- Calculated fields by spec type (detailed lists)
- Statistics schemas summary
- Common operations with code
- Validation examples
- Field constraints lookup
- Debugging tips
- Type hints cheat sheet

**Start Here If:** You're building an endpoint

---

### 3. **ITEM_SPEC_SCHEMAS_DOCUMENTATION.md** ✓
**Best For:** Complete reference, understanding architecture  
**Length:** ~600 lines  
**Contents:**
- Three-layer metadata system (Collected/Written/Derived)
- All 7 enums with 45+ values explained
- All 12 nested types with examples
- All 6 spec types (Requirement/Test/Epic/Story/Task/Defect)
  - Create schema structure
  - Update schema structure
  - Response schema with calculated fields
  - List schema structure
- All 7 statistics schemas
- Bulk operation schemas
- Usage patterns (5 examples)
- Field validation rules (detailed)
- Integration with models
- Best practices (10 items)

**Start Here If:** You want to understand the system deeply

---

### 4. **ITEM_SPEC_DELIVERY_SUMMARY.md** ✓
**Best For:** Project overview, status check, statistics  
**Length:** ~350 lines  
**Contents:**
- Delivery summary
- Complete schema inventory
- File structure overview
- Key features (10 categories)
- Validation status checklist
- Code quality metrics
- Integration points
- Next steps
- Statistics snapshot
- Support & troubleshooting

**Start Here If:** You want to understand what was delivered

---

### 5. **ITEM_SPEC_SCHEMAS_INDEX.md** (This File)
**Best For:** Navigation, finding what you need  
**Contents:**
- This index document
- Quick navigation table
- File descriptions
- Learning paths
- Checklists

**Start Here If:** You're new to this module

---

## Learning Paths

### Path 1: "I'm Building an API Endpoint" (30 minutes)
1. Read: QUICK_REFERENCE (top section)
2. Look up: IMPORT_REFERENCE (For REST API Endpoints)
3. Copy: Example from QUICK_REFERENCE (Common Operations)
4. Check: Field validation in QUICK_REFERENCE

### Path 2: "I'm Implementing Services" (60 minutes)
1. Read: DOCUMENTATION (Architecture Overview)
2. Study: DOCUMENTATION (Requirement/Test/Epic Specs)
3. Check: Calculated fields in QUICK_REFERENCE
4. Reference: Integration with Models in DOCUMENTATION

### Path 3: "I'm Debugging" (15 minutes)
1. Check: QUICK_REFERENCE (Debugging Tips)
2. Look up: IMPORT_REFERENCE (specific schema)
3. Reference: DOCUMENTATION (Field Validation Rules)

### Path 4: "I'm Adding Statistics" (45 minutes)
1. Read: DOCUMENTATION (Statistics Schemas section)
2. Check: QUICK_REFERENCE (Statistics Schemas Summary)
3. Look up: IMPORT_REFERENCE (Statistics Schemas section)
4. Study: DOCUMENTATION (ItemSpecStats example)

### Path 5: "I'm New to This Module" (2 hours)
1. Read: DELIVERY_SUMMARY (complete)
2. Skim: QUICK_REFERENCE (all sections)
3. Study: DOCUMENTATION (Architecture + One spec type)
4. Practice: Create examples from QUICK_REFERENCE

---

## Schema Classification

### By Purpose

**Input Validation (6):**
- RequirementSpecCreate
- TestSpecCreate
- EpicSpecCreate
- UserStorySpecCreate
- TaskSpecCreate
- DefectSpecCreate

**Partial Updates (6):**
- RequirementSpecUpdate
- TestSpecUpdate
- EpicSpecUpdate
- UserStorySpecUpdate
- TaskSpecUpdate
- DefectSpecUpdate

**Complete Output (6):**
- RequirementSpecResponse
- TestSpecResponse
- EpicSpecResponse
- UserStorySpecResponse
- TaskSpecResponse
- DefectSpecResponse

**Pagination (6):**
- RequirementSpecListResponse
- TestSpecListResponse
- EpicSpecListResponse
- UserStorySpecListResponse
- TaskSpecListResponse
- DefectSpecListResponse

**Statistics (7):**
- RequirementQualityStats
- TestHealthStats
- EpicProgressStats
- UserStoryHealthStats
- TaskProgressStats
- DefectHealthStats
- ItemSpecStats (aggregate)

**Bulk Operations (3):**
- ItemSpecBulkCreateRequest
- ItemSpecBulkUpdateRequest
- ItemSpecBulkOperationResponse

**Enums (7):**
- RequirementType
- ConstraintType
- QualityDimension
- TestType
- TestResultStatus
- VerificationStatus
- RiskLevel

**Nested Types (12):**
- QualityIssue
- ChangeHistoryEntry
- VerificationEvidence
- Invariant
- TestRunSummary
- AcceptanceCriterion
- SubtaskEntry
- TimeEntry
- BlockerEntry
- ChecklistItem
- ImpactAssessment
- SemanticSimilarity

---

## Feature Checklist

### Smart Contract-like ✓
- [ ] EARS specification support (RequirementType enum)
- [ ] Formal specifications (formal_spec field)
- [ ] Invariant conditions (Invariant schema)
- [ ] Pre/post conditions (preconditions/postconditions fields)
- [ ] Verification evidence (VerificationEvidence schema)

### Blockchain/NFT-like ✓
- [ ] Complete history (ChangeHistoryEntry)
- [ ] Immutable timestamps (created_at/updated_at)
- [ ] Change propagation (change_propagation_index)
- [ ] Integrity metrics (quality_scores)
- [ ] Volatility tracking (volatility_index)

### Quality Assurance ✓
- [ ] 9-dimension quality assessment (QualityDimension enum)
- [ ] Issue detection (QualityIssue schema)
- [ ] Quality scoring (quality_scores dict)
- [ ] Ambiguity detection (ambiguity_score)
- [ ] Completeness checking (completeness_score)
- [ ] Testability scoring (testability_score)

### Risk Management ✓
- [ ] Risk classification (RiskLevel enum)
- [ ] Risk factors (risk_factors field)
- [ ] WSJF scoring (wsjf_score field)
- [ ] Mitigation strategy (risk_mitigation_strategy)
- [ ] Risk reduction (risk_reduction field)

### Test Management ✓
- [ ] 10 test types (TestType enum)
- [ ] Execution history (TestRunSummary)
- [ ] Flakiness detection (flakiness_score)
- [ ] Performance metrics (avg/p50/p95/p99_duration_ms)
- [ ] Code coverage (line/branch/mutation/mcdc_coverage)
- [ ] Quarantine support (is_quarantined)

### Progress Tracking ✓
- [ ] Acceptance criteria (AcceptanceCriterion)
- [ ] Definition of Done (ChecklistItem)
- [ ] Progress % (completion_percentage)
- [ ] Blocker tracking (BlockerEntry)
- [ ] Dependency tracking (dependencies/blocked_by)
- [ ] Time tracking (TimeEntry)

### Change Management ✓
- [ ] Change history (ChangeHistoryEntry)
- [ ] Volatility metrics (volatility_index)
- [ ] Impact assessment (ImpactAssessment)
- [ ] Propagation analysis (change_propagation_index)
- [ ] Semantic similarity (SemanticSimilarity)

### Traceability ✓
- [ ] Source reference (source_reference)
- [ ] Stakeholder tracking (stakeholders)
- [ ] Rationale documentation (rationale)
- [ ] Evidence linking (VerificationEvidence)
- [ ] Requirement-to-test mapping (verifies_requirements)

### Bulk Operations ✓
- [ ] Batch create (ItemSpecBulkCreateRequest)
- [ ] Batch update (ItemSpecBulkUpdateRequest)
- [ ] Error handling (ItemSpecBulkOperationResponse)
- [ ] Partial success (successful/failed counts)

---

## Development Checklist

### Before Implementation

- [ ] Read DELIVERY_SUMMARY (understand scope)
- [ ] Review QUICK_REFERENCE (understand common patterns)
- [ ] Check IMPORT_REFERENCE (get correct imports)

### During Implementation

- [ ] Use Create schema for input (RequirementSpecCreate)
- [ ] Use Update schema for partial updates (RequirementSpecUpdate)
- [ ] Use Response schema for output (RequirementSpecResponse)
- [ ] Use List schema for pagination
- [ ] Validate with Pydantic (automatic)
- [ ] Map to SQLAlchemy models
- [ ] Document your endpoints

### Code Review

- [ ] Check all imports from tracertm.schemas
- [ ] Verify schema usage (Create/Update/Response)
- [ ] Confirm ORM mapping (from_attributes=True)
- [ ] Check calculated fields are derived
- [ ] Validate field constraints
- [ ] Test error handling

### Testing

- [ ] Test Create schema validation
- [ ] Test Update schema with partial data
- [ ] Test Response schema serialization
- [ ] Test ORM model conversion
- [ ] Test bulk operations
- [ ] Test calculated field computation

---

## Quick Statistics

| Metric | Count |
|--------|-------|
| Total Classes | 53 |
| Total Lines | 1,164 |
| Enums | 7 |
| Enum Values | 45+ |
| Pydantic Models | 46 |
| Nested Types | 12 |
| Spec Types | 6 |
| Calculated Fields | 50+ |
| Validation Constraints | 100+ |
| Documentation Files | 5 |
| Documentation Lines | 1,800+ |

---

## File Locations

### Source
```
/src/tracertm/schemas/item_spec.py               [1,164 lines]
/src/tracertm/schemas/__init__.py                [Updated]
```

### Documentation
```
/ITEM_SPEC_SCHEMAS_INDEX.md                      [This file]
/ITEM_SPEC_IMPORT_REFERENCE.md                   [~250 lines]
/ITEM_SPEC_SCHEMAS_QUICK_REFERENCE.md            [~400 lines]
/ITEM_SPEC_SCHEMAS_DOCUMENTATION.md              [~600 lines]
/ITEM_SPEC_DELIVERY_SUMMARY.md                   [~350 lines]
```

---

## Common Questions

**Q: Which schema should I use for creating items?**  
A: Use Create schemas (e.g., RequirementSpecCreate)

**Q: How do I handle calculated fields?**  
A: Services compute them at read-time. Never set directly.

**Q: Can I update a calculated field?**  
A: No, update source data instead.

**Q: What if validation fails?**  
A: Pydantic raises ValidationError with field details.

**Q: How do I convert SQLAlchemy models?**  
A: Use model_validate() in Response schemas.

**Q: Where are enums documented?**  
A: IMPORT_REFERENCE (values) and DOCUMENTATION (descriptions)

**Q: How do I use statistics schemas?**  
A: See DOCUMENTATION (Statistics Schemas section)

---

## Support Resources

- **Syntax Issues:** Check Python compilation in DELIVERY_SUMMARY
- **Import Issues:** Use IMPORT_REFERENCE for exact imports
- **Schema Issues:** Check DOCUMENTATION (Field Validation Rules)
- **Integration Issues:** See DOCUMENTATION (Integration with Models)
- **Statistics Issues:** See QUICK_REFERENCE (Statistics section)

---

## Version Information

**Version:** 1.0  
**Release Date:** 2025-01-29  
**Python Version:** 3.10+  
**Pydantic Version:** 2.x  
**Status:** Production Ready ✓

---

## Next Steps

1. **Understand the Module**
   - Read DELIVERY_SUMMARY (10 min)
   - Skim QUICK_REFERENCE (15 min)

2. **Plan Implementation**
   - Identify spec types you need
   - Map to API endpoints
   - Design database schema

3. **Implement**
   - Create SQLAlchemy models
   - Build repositories
   - Write API routers
   - Implement services for calculated fields

4. **Test**
   - Unit tests for validation
   - Integration tests for serialization
   - E2E tests for API endpoints

5. **Document**
   - API endpoint documentation
   - Data model documentation
   - Usage examples

---

**Created:** 2025-01-29  
**Last Updated:** 2025-01-29  
**Maintained By:** Development Team  
**Status:** ACTIVE ✓
