# Story 12.6: Update Product Quality Report Tool

Status: done

## Story

As a **QA lead**,
I want **the product quality report to include test_environment information**,
so that **I can analyze quality metrics per environment**.

## Acceptance Criteria

1. **Test summary includes test_environment:**
   - Given a product with tests that have `test_environment` data.
   - When `get_product_quality_report()` is called.
   - Then each test in the report includes `test_environment: {id, title}`.

2. **Report output displays test_environment:**
   - Given a product quality report output.
   - When reviewing the test metrics.
   - Then `test_environment` is visible for each test entry.

## Tasks / Subtasks

- [x] **Task 1: Update TestBugMetrics schema to include test_environment** (AC: 1, 2)
  - [x] Add `test_environment: dict[str, Any] | None = None` field to `TestBugMetrics` Pydantic model
  - [x] Verify field is optional (defaults to None) for backward compatibility
  - [x] Add mypy type hint validation

- [x] **Task 2: Thread test_environment through report generation** (AC: 1, 2)
  - [x] Verify `TestService.list_tests()` already returns `test_environment` (STORY-073)
  - [x] Map `test_environment` from service response to `TestBugMetrics` model
  - [x] Ensure `test_environment` appears in final report output

- [x] **Task 3: Add unit tests** (AC: 1, 2)
  - [x] Test TestBugMetrics model accepts test_environment field
  - [x] Test TestBugMetrics model handles None test_environment gracefully
  - [x] Test report output includes test_environment when present
  - [x] Test report output handles missing test_environment (None)

- [x] **Task 4: Integration testing** (AC: All)
  - [x] Run full test suite to verify no regressions
  - [x] Verify mypy strict mode passes
  - [x] Verify ruff formatting and linting passes

## Dev Notes

### Architecture Patterns

- **Service Layer Pattern (ADR-006):** Services contain business logic and are framework-agnostic. The `get_product_quality_report` tool delegates to `TestService.list_tests()` for data.
- **MCP Tool Pattern (ADR-011):** Tools are thin wrappers that extract dependencies, delegate to services, and format responses for MCP protocol.
- **Pydantic Models:** `TestBugMetrics` is a Pydantic model used to structure report output. Adding a field is straightforward.
- **Type Safety:** All tool methods use Pydantic models for structured output. Strict mypy validation enforced.

### Source Tree Components

- `src/testio_mcp/tools/product_quality_report_tool.py` - Primary file to modify
  - `TestBugMetrics` Pydantic model (~line 30-50)
  - Report generation logic (~line 150-250)

### Testing Standards

- **Unit Tests:** Mock service layer, test tool logic in isolation
- **Test Location:** `tests/unit/test_tools_product_quality_report.py`
- **Coverage Target:** 100% of new field logic
- **Behavioral Testing:** Test outcomes (test_environment in output), not implementation details
- **Edge Cases:** Test with None test_environment, missing field, valid test_environment data

### Project Structure Notes

- Aligns with unified project structure
- Modifies existing tool file only
- No new files created
- Changes are additive (new field in model), ensuring backward compatibility
- Field is optional (defaults to None) - no breaking changes

### Learnings from Previous Story

**From Story story-073-service-layer (Status: done)**

- **Service Layer Complete:** `TestService.list_tests()` already returns `test_environment` field (AC3 verified)
- **test_environment Format:** Returns `{id: int, title: str}` when present, `None` when absent
- **Data Available:** Repository layer (STORY-071) and service layer (STORY-073) fully implemented
- **No API Changes Needed:** Data already flows from repository → service → DTOs
- **Files Modified in STORY-073:**
  - `src/testio_mcp/services/test_service.py` - Added test_environment to get_test_summary() response (lines 201-208)
  - `tests/unit/test_test_service.py` - Added 8 new unit tests
- **Test Coverage:** All service layer tests pass (661 unit tests, zero regressions)
- **Validation:** mypy strict ✅, ruff ✅, all tests ✅
- **Review Status:** Approved by senior developer (leoric)

**Critical Insight:** The service layer already provides `test_environment` in `list_tests()` responses. This story only needs to:
1. Add the field to the `TestBugMetrics` Pydantic model
2. Map the field from service response to the model
3. Verify the field appears in report output

**Reuse Opportunities:**
- Service layer already provides test_environment data (STORY-073)
- DTOs and schemas already include test_environment (STORY-072)
- Repository layer already surfaces test_environment (STORY-071)
- No service layer changes needed - just tool layer mapping

**Architectural Continuity:**
- Follow pattern established in STORY-073 for optional fields
- Use `dict[str, Any] | None` type hint (consistent with service DTOs)
- Default to None for backward compatibility
- No validation needed (service layer already validates)

[Source: docs/sprint-artifacts/story-073-service-layer.md#Dev-Agent-Record]

### References

- [Epic 012: Test Environments and Known Bugs](docs/epics/epic-012-polish.md#story-074-update-product-quality-report-tool)
- [Architecture: Service Layer](docs/architecture/ARCHITECTURE.md#service-layer-adr-006)
- [ADR-006: Service Layer Pattern](docs/architecture/adrs/ADR-006-service-layer-pattern.md)
- [ADR-011: Tool Auto-Discovery Pattern](docs/architecture/adrs/ADR-011-tool-auto-discovery-pattern.md)
- [Coding Standards](docs/architecture/CODING-STANDARDS.md)
- [Testing Strategy](docs/architecture/TESTING.md)
- [STORY-073: Service Layer](docs/sprint-artifacts/story-073-service-layer.md)
- [STORY-072: DTOs and Schemas](docs/sprint-artifacts/story-072-dtos-and-schemas.md)
- [STORY-071: Repository Read Paths](docs/sprint-artifacts/story-071-repository-read-paths.md)

## Dev Agent Record

### Context Reference

- [Story Context](docs/sprint-artifacts/story-074-quality-report-tool.context.xml)

### Agent Model Used

Claude Sonnet 4.5

### Debug Log References

### Completion Notes List

**Implementation Summary (2025-12-01):**

✅ **Task 1: TestBugMetrics Schema Update**
- Added `test_environment: dict[str, Any] | None` field to TestBugMetrics Pydantic model (line 135-137)
- Field defaults to None for backward compatibility
- Uses Field with description for clear API documentation
- Passes mypy strict mode validation

✅ **Task 2: Service Layer Mapping**
- Updated MultiTestReportService.get_product_quality_report() to include test_environment in test_result dict (line 291)
- Service extracts test_environment from test dict using .get() for safe access
- Updated tool layer to map test_environment from service response to TestBugMetrics model (line 406)
- Data flows: Repository → Service → Tool → MCP Response

✅ **Task 3: Unit Tests**
- Added 5 comprehensive unit tests covering all edge cases:
  1. test_environment present with valid data
  2. test_environment is None (explicit)
  3. test_environment missing from service response (backward compatibility)
  4. TestBugMetrics model accepts test_environment field
  5. TestBugMetrics model defaults to None when field omitted
- All tests follow behavioral testing principles (test outcomes, not implementation)
- Tests verify Pydantic serialization with exclude_none=True

✅ **Task 4: Validation**
- All 666 unit tests pass (no regressions)
- mypy strict mode: ✅ Success (78 source files)
- ruff check: ✅ All checks passed
- ruff format: ✅ 195 files unchanged

**Architecture Compliance:**
- ✅ Service Layer Pattern (ADR-006): Business logic in service, tool is thin wrapper
- ✅ Type Safety: All changes pass mypy --strict
- ✅ Backward Compatibility: Optional field defaults to None
- ✅ Testing Standards: Behavioral tests with 100% coverage of new logic
- ✅ Coding Standards: Passes ruff linting and formatting

**Key Insights:**
- Service layer already provided test_environment from STORY-073 (TestService.list_tests)
- Repository layer (STORY-071) already surfaces test_environment from database column
- Only needed to add field to Pydantic model and map in tool/service layers
- Pydantic's exclude_none=True automatically handles None values in JSON output
- No breaking changes - existing consumers continue to work

### File List

**Modified:**
- `src/testio_mcp/tools/product_quality_report_tool.py` - Added test_environment field to TestBugMetrics model, mapped field in tool output
- `src/testio_mcp/services/multi_test_report_service.py` - Added test_environment to test_result dict
- `tests/unit/test_tools_product_quality_report.py` - Added 5 new unit tests for test_environment field

## Change Log

- 2025-12-01: Story drafted by SM agent (Claude Sonnet 4.5)
- 2025-12-01: Story implemented by Dev agent (Claude Sonnet 4.5) - All tasks completed, 666 unit tests pass, mypy/ruff validation passed
- 2025-12-01: Senior Developer Review completed by leoric - **APPROVED** (zero findings)

---

## Senior Developer Review (AI)

**Reviewer:** leoric
**Date:** 2025-12-01
**Outcome:** ✅ **APPROVE** - Exemplary implementation with zero findings

### Summary

This story implements the addition of `test_environment` field to the Product Quality Report tool. The implementation is minimal, focused, and demonstrates excellent understanding of established codebase patterns. All acceptance criteria are fully satisfied, all tasks are verifiably complete, and the code passes all quality gates with zero regressions.

**What makes this exemplary:**
- Perfect adherence to Service Layer Pattern (ADR-006)
- Surgical changes with zero unnecessary modifications
- Comprehensive test coverage (5 new behavioral tests)
- Seamless integration with previous stories (STORY-071, 072, 073)
- Pristine type safety (mypy --strict, 78 files)

### Key Findings

**No findings - Clean implementation**

### Acceptance Criteria Coverage

| AC# | Description | Status | Evidence |
|-----|-------------|--------|----------|
| **AC1** | Test summary includes test_environment: Given product with tests that have test_environment data, When get_product_quality_report() called, Then each test includes test_environment: {id, title} | ✅ **IMPLEMENTED** | **Tool Schema:** `product_quality_report_tool.py:135-137` - TestBugMetrics model has `test_environment: dict[str, Any] \| None = Field(default=None, description="Test environment info (id, title)")`. **Service Layer:** `multi_test_report_service.py:291` - service includes `"test_environment": test.get("test_environment")` in test_result dict. **Tool Mapping:** `product_quality_report_tool.py:406` - tool maps field from service response: `test_environment=test.get("test_environment")` to TestBugMetrics model, which serializes to JSON output. |
| **AC2** | Report output displays test_environment: Given quality report output, When reviewing test metrics, Then test_environment visible for each test entry | ✅ **IMPLEMENTED** | **Output Verification:** Tool constructs TestBugMetrics with test_environment field at `product_quality_report_tool.py:406`, serialized via Pydantic's `model_dump(exclude_none=True)` at line 422. **Test Evidence:** `test_tools_product_quality_report.py:297-364` - `test_report_includes_test_environment_when_present` verifies field appears in by_test array with correct structure {id: 456, title: "Production"}. **Backward Compatibility:** `test_tools_product_quality_report.py:368-433` - verifies None and missing field handled gracefully. |

**Summary:** ✅ **2 of 2 acceptance criteria fully implemented** with file:line evidence

### Task Completion Validation

| Task | Marked | Verified | Evidence |
|------|--------|----------|----------|
| **Task 1:** Update TestBugMetrics schema | ✅ Complete | ✅ **VERIFIED** | `product_quality_report_tool.py:135-137` - Field added with exact type hint `dict[str, Any] \| None = Field(default=None, description="Test environment info (id, title)")`. Defaults to None for backward compatibility. Mypy validation passes: "Success: no issues found in 78 source files" |
| **Task 1 Subtask:** Add field to model | ✅ Complete | ✅ **VERIFIED** | Exact implementation matches spec, line 135-137 |
| **Task 1 Subtask:** Verify optional/defaults to None | ✅ Complete | ✅ **VERIFIED** | Uses `Field(default=None)` - backward compatible |
| **Task 1 Subtask:** Add mypy validation | ✅ Complete | ✅ **VERIFIED** | `uv run mypy src` output: "Success: no issues found in 78 source files" (verified 2025-12-01) |
| **Task 2:** Thread test_environment through report | ✅ Complete | ✅ **VERIFIED** | **Service:** `multi_test_report_service.py:291` - `"test_environment": test.get("test_environment")` extracts from test dict. **Tool:** `product_quality_report_tool.py:406` - `test_environment=test.get("test_environment")` maps to TestBugMetrics model. Data flow verified: Repository (STORY-071) → Service → Tool → JSON output |
| **Task 2 Subtask:** Verify TestService returns field | ✅ Complete | ✅ **VERIFIED** | Story references STORY-073 where TestService.list_tests() was updated. MultiTestReportService calls test_repo.query_tests() which returns test dicts with test_environment field from STORY-071 repository layer |
| **Task 2 Subtask:** Map field in service response | ✅ Complete | ✅ **VERIFIED** | `multi_test_report_service.py:291` - service extracts with `.get()` for safe access |
| **Task 2 Subtask:** Ensure field in final output | ✅ Complete | ✅ **VERIFIED** | Tool maps to Pydantic model which serializes via `model_dump(exclude_none=True)` at line 422 |
| **Task 3:** Add unit tests | ✅ Complete | ✅ **VERIFIED** | **5 new tests added** in `test_tools_product_quality_report.py:294-564`. All tests pass (666 unit tests passed in 2.53s, verified 2025-12-01). Tests cover: (1) field present with valid data, (2) None handling, (3) missing field backward compatibility, (4) model validation, (5) serialization behavior |
| **Task 3 Subtask:** Test model accepts field | ✅ Complete | ✅ **VERIFIED** | `test_tools_product_quality_report.py:505-533` - `test_testbugmetrics_model_accepts_test_environment` verifies Pydantic validation and field accessibility |
| **Task 3 Subtask:** Test model handles None | ✅ Complete | ✅ **VERIFIED** | `test_tools_product_quality_report.py:536-564` - `test_testbugmetrics_model_defaults_test_environment_to_none` verifies default behavior and serialization with `exclude_none=True` |
| **Task 3 Subtask:** Test report includes field | ✅ Complete | ✅ **VERIFIED** | `test_tools_product_quality_report.py:297-364` - `test_report_includes_test_environment_when_present` verifies field appears in by_test array with correct structure {id, title} |
| **Task 3 Subtask:** Test report handles None | ✅ Complete | ✅ **VERIFIED** | `test_tools_product_quality_report.py:368-433` - `test_report_handles_none_test_environment_gracefully` verifies no errors with None value |
| **Task 4:** Integration testing | ✅ Complete | ✅ **VERIFIED** | **All validations pass:** Unit tests: 666/666 passed in 2.53s. Mypy strict: Success (78 files). Ruff: All checks passed |
| **Task 4 Subtask:** Run full test suite | ✅ Complete | ✅ **VERIFIED** | Verified: 666 unit tests passed, zero regressions (verified 2025-12-01) |
| **Task 4 Subtask:** Verify mypy strict passes | ✅ Complete | ✅ **VERIFIED** | `uv run mypy src` output: "Success: no issues found in 78 source files" |
| **Task 4 Subtask:** Verify ruff passes | ✅ Complete | ✅ **VERIFIED** | `uv run ruff check ...` output: "All checks passed!" (format and lint verified) |

**Summary:** ✅ **14 of 14 completed tasks verified**, 0 questionable, **0 falsely marked complete**

### Test Coverage and Gaps

**Test Coverage: Excellent**
- 5 new unit tests added covering all edge cases
- All tests follow behavioral testing principles (test outcomes, not implementation)
- Tests use realistic test data (not minimal mocks)
- Coverage includes: valid data, None handling, missing field, model validation, serialization

**Tests Added:**
1. `test_report_includes_test_environment_when_present` (lines 297-364) - Verifies field in output
2. `test_report_handles_none_test_environment_gracefully` (lines 368-433) - Verifies None handling
3. `test_report_handles_missing_test_environment_field` (lines 437-502) - Backward compatibility
4. `test_testbugmetrics_model_accepts_test_environment` (lines 505-533) - Model validation
5. `test_testbugmetrics_model_defaults_test_environment_to_none` (lines 536-564) - Default behavior

**Test Quality:** All tests follow project standards:
- Mock service layer, test tool logic in isolation
- Assert on observable outcomes (return values, state changes)
- No implementation details tested (no private function mocking)
- Realistic test data with complete BugCounts structures

**Gaps:** None identified

### Architectural Alignment

**Alignment: Perfect**

✅ **Service Layer Pattern (ADR-006):**
- Service contains business logic (`multi_test_report_service.py:291` - extracts test_environment from test dict)
- Tool is thin wrapper (delegates to service, maps to Pydantic model)
- No business logic in tool layer

✅ **Type Safety (STORY-073 pattern):**
- Uses `dict[str, Any] | None` type hint (consistent with service DTOs from STORY-072)
- All changes pass mypy --strict (78 files, zero errors)
- Pydantic Field with default=None for optional fields

✅ **Backward Compatibility:**
- Field defaults to None (no breaking changes)
- Pydantic serialization with `exclude_none=True` omits None values from JSON
- Existing consumers unaffected (field is additive)

✅ **Repository Pattern:**
- No repository changes needed (field already available from STORY-071)
- Service delegates to `test_repo.query_tests()` which returns test dicts with test_environment

✅ **Testing Standards:**
- Behavioral tests (test outcomes, not implementation)
- Realistic test data (complete BugCounts, cache_stats)
- Coverage target met (100% of new field logic)

### Security Notes

**No security concerns identified.**

- Field is read-only (no write operations)
- Data already validated in previous stories (STORY-071 repository layer, STORY-072 DTOs/schemas)
- Type safety enforced via mypy --strict
- No user input validation needed (field comes from database via service layer)

### Best-Practices and References

**Practices Followed:**
- ✅ **Pydantic v2 Best Practices:** Field with default=None for optional fields, type hints with Union syntax
- ✅ **Python Async/Await:** No async changes needed (field is read-only)
- ✅ **Service Layer Pattern:** Clean separation of concerns (ADR-006)
- ✅ **Testing Philosophy:** Behavioral tests survive refactoring (validate outcomes, not implementation)

**References:**
- Pydantic v2 Documentation: https://docs.pydantic.dev/latest/
- FastMCP Patterns: Context injection, ToolError exception handling
- Project Standards: [docs/architecture/CODING-STANDARDS.md](docs/architecture/CODING-STANDARDS.md)
- Testing Guide: [docs/architecture/TESTING.md](docs/architecture/TESTING.md)
- Service Layer: [docs/architecture/SERVICE_LAYER_SUMMARY.md](docs/architecture/SERVICE_LAYER_SUMMARY.md)

### Action Items

**No action items - Implementation is complete and meets all standards.**

This story demonstrates excellent craftsmanship and can serve as a reference example for future stories involving:
- Adding optional fields to Pydantic models
- Threading data through service → tool layers
- Writing behavioral tests for new fields
- Maintaining backward compatibility
