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Oleksandr Bezdieniezhnykh 827d4fe644 [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>

2026-05-05 01:02:25 +03:00

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Code Testability Assessment

Date: 2026-05-04 Autodev step: Greenfield Step 8 — Code Testability Revision Outcome: Code is testable — no changes needed

Scope Reviewed

Test specifications in _docs/02_document/tests/
Traceability matrix in _docs/02_document/tests/traceability-matrix.md
Runtime source under src/
Existing unit tests under tests/
Product implementation report _docs/03_implementation/implementation_report_product_runtime_cycle1.md

Testability Result

The implemented product runtime can support the planned tests without a testability-focused refactor.

Runtime components expose public package-level APIs through __init__.py, types.py, and interfaces.py.
Component behavior is expressed through data models and class/protocol boundaries that can be constructed directly in tests.
External systems are represented as boundary objects or planned black-box fixtures, not hardwired network calls.
No direct filesystem, environment, subprocess, socket, HTTP, global singleton, or wall-clock usage was found in src/ that would block deterministic tests.
Planned hardware, SITL, Jetson, and dataset dependencies belong in test harness tasks and can report blocked when prerequisites are unavailable.

Scenario Review

Scenario Area	Testability Assessment
Unit/component tests	Current public classes and DTOs are directly constructible and already covered by 49 passing tests.
Black-box replay	The planned harness can drive public frame, telemetry, cache, MAVLink, status, and FDR boundaries without importing runtime internals.
VIO and anchor replay	Heavy BASALT, FAISS, and matcher dependencies can be represented by test harness fixtures or backend boundaries in test tasks.
SITL/MAVLink tests	The MAVLink/GCS gateway exposes validation and status behavior without requiring live hardware for unit-level coverage.
Jetson/resource tests	Hardware-specific release gates are environment-dependent and do not require runtime refactoring before test-task implementation.
Security/cache tests	Cache, freshness, no-fetch, and generated-tile trust behavior is exposed through public component methods.

Reviewed Test Artifacts

_docs/02_document/tests/blackbox-tests.md
_docs/02_document/tests/e2e-test-suite.md
_docs/02_document/tests/environment.md
_docs/02_document/tests/performance-tests.md
_docs/02_document/tests/resilience-tests.md
_docs/02_document/tests/resource-limit-tests.md
_docs/02_document/tests/security-tests.md
_docs/02_document/tests/test-data.md
_docs/02_document/tests/traceability-matrix.md

Verification

.venv/bin/python -m black --check src tests e2e/replay passed.
.venv/bin/python -m ruff check src tests e2e/replay passed.
.venv/bin/python -m pytest passed: 49 tests.

Next Step

Proceed to Greenfield Step 9, Decompose Tests.

2.9 KiB Raw Blame History