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[AZ-240] Update product implementation and task decomposition processes
- Refined task decomposition steps to ensure implementation tasks are atomic and complexity does not exceed 5 points. - Enhanced the product implementation process with a completeness gate to verify task outcomes against architecture promises before proceeding to testing. - Updated dependencies table to reflect new tasks and their relationships, ensuring all test tasks are linked to product remediation tasks. - Adjusted workflow documentation to clarify entry points for task decomposition and implementation contexts. Co-authored-by: Cursor <cursoragent@cursor.com>
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# Code Testability Assessment
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**Date**: 2026-05-04
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**Autodev step**: Greenfield Step 8 — Code Testability Revision
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**Outcome**: Code is testable — no changes needed
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## Scope Reviewed
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- Test specifications in `_docs/02_document/tests/`
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- Traceability matrix in `_docs/02_document/tests/traceability-matrix.md`
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- Runtime source under `src/`
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- Existing unit tests under `tests/`
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- Product implementation report `_docs/03_implementation/implementation_report_product_runtime_cycle1.md`
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## Testability Result
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The implemented product runtime can support the planned tests without a testability-focused refactor.
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- Runtime components expose public package-level APIs through `__init__.py`, `types.py`, and `interfaces.py`.
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- Component behavior is expressed through data models and class/protocol boundaries that can be constructed directly in tests.
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- External systems are represented as boundary objects or planned black-box fixtures, not hardwired network calls.
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- No direct filesystem, environment, subprocess, socket, HTTP, global singleton, or wall-clock usage was found in `src/` that would block deterministic tests.
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- Planned hardware, SITL, Jetson, and dataset dependencies belong in test harness tasks and can report `blocked` when prerequisites are unavailable.
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## Scenario Review
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| Scenario Area | Testability Assessment |
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|---------------|------------------------|
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| Unit/component tests | Current public classes and DTOs are directly constructible and already covered by 49 passing tests. |
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| Black-box replay | The planned harness can drive public frame, telemetry, cache, MAVLink, status, and FDR boundaries without importing runtime internals. |
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| VIO and anchor replay | Heavy BASALT, FAISS, and matcher dependencies can be represented by test harness fixtures or backend boundaries in test tasks. |
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| SITL/MAVLink tests | The MAVLink/GCS gateway exposes validation and status behavior without requiring live hardware for unit-level coverage. |
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| Jetson/resource tests | Hardware-specific release gates are environment-dependent and do not require runtime refactoring before test-task implementation. |
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| Security/cache tests | Cache, freshness, no-fetch, and generated-tile trust behavior is exposed through public component methods. |
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## Reviewed Test Artifacts
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- `_docs/02_document/tests/blackbox-tests.md`
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- `_docs/02_document/tests/e2e-test-suite.md`
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- `_docs/02_document/tests/environment.md`
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- `_docs/02_document/tests/performance-tests.md`
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- `_docs/02_document/tests/resilience-tests.md`
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- `_docs/02_document/tests/resource-limit-tests.md`
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- `_docs/02_document/tests/security-tests.md`
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- `_docs/02_document/tests/test-data.md`
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- `_docs/02_document/tests/traceability-matrix.md`
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## Verification
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- `.venv/bin/python -m black --check src tests e2e/replay` passed.
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- `.venv/bin/python -m ruff check src tests e2e/replay` passed.
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- `.venv/bin/python -m pytest` passed: 49 tests.
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## Next Step
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Proceed to Greenfield Step 9, Decompose Tests.
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