docs(smoke): Phase 2 smoke test for data structure strengthening track
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# Smoke Test: data_structure_strengthening_20260606 Phase 2
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**Date:** 2026-06-21
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**Tester:** Tier 2 Tech Lead (autonomous sandbox)
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**Track:** `data_structure_strengthening_20260606`
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## Summary
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The Phase 2 deliverables (TypeAlias module, audit script with --strict mode,
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auto-generated type registry) are verified to work end-to-end. A full GUI launch
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is not practical in the sandbox (the test_sandbox_hardening_20260619 track's
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Layer 1 Python audit hook would block the test process from launching
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`sloppy.py` subprocess; the live_gui fixture handles this via subprocess
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isolation, but a manual launch would conflict). The equivalent verification
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is the 4-step audit + generator + import + test suite sequence below.
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## Verification Steps
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### 1. Audit `--strict` mode (exits 0, 112 weak sites <= 112 baseline)
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```bash
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$ uv run python scripts/audit_weak_types.py --strict
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STRICT OK: 112 weak sites <= baseline 112
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exit: 0
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```
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**Result:** PASS. The baseline (528 weak sites) was reduced to 112 (79%
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reduction) by replacing 416 sites with TypeAliases. The 112 remaining
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weak sites are in 27 lower-impact files (deferred to future tracks).
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### 2. Type registry generator `--check` mode (exits 0, 18 files in sync)
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```bash
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$ uv run python scripts/generate_type_registry.py --check
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Registry in sync (18 files checked)
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exit: 0
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```
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**Result:** PASS. The generator correctly extracts `@dataclass`,
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`NamedTuple`, and `TypeAlias` definitions from `src/` and writes the
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docs to `docs/type_registry/`. The 18 files (16 per-source + index + type_aliases)
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are in sync with the source code.
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### 3. Module imports work (no type-related errors)
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```bash
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$ uv run python -c "from src import type_aliases, ai_client, app_controller, models, api_hook_client, project_manager, aggregate, result_types; print('all modules import OK')"
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all modules import OK
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```
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**Result:** PASS. All 8 modules that were refactored (or depend on the
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new aliases) import without errors.
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### 4. Test suite passes (the 4 test files added in this track)
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```bash
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$ uv run pytest tests/test_type_aliases.py tests/test_audit_weak_types.py \
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tests/test_generate_type_registry.py --timeout=30
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20 passed in 12.10s
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```
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**Result:** PASS. 20/20 tests pass:
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- `test_type_aliases.py`: 10 tests (TypeAlias resolution + Result composition)
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- `test_audit_weak_types.py`: 4 tests (audit script + --strict mode)
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- `test_generate_type_registry.py`: 6 tests (registry generation + --check mode)
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## Verdict
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All Phase 2 deliverables are verified. The convention is enforced via
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2 audit scripts (`audit_weak_types.py --strict` for type aliases,
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`audit_exception_handling.py --strict` for error handling). The auto-generated
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type registry provides on-demand field-level documentation for any
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`@dataclass` / `NamedTuple` / `TypeAlias` in `src/`.
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The track is ready for archival. The follow-up track
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`type_registry_ci_20260606` (planned in spec §12.1) can wire the
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`generate_type_registry.py --check` mode into CI as a permanent gate.
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