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ГЛОБАЛЬНЫЙ РЕФАКТОРИНГ АРХИТЕКТУРЫ - Рефакторинг этапов 2.39: вынос bootstrap пользовательского хода (нормализация текста + append/persist user-item) из handleMessage в отдельный runtime-адаптер. Это безопасно и дополнительно разгружает assistantService.

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dctouch
2026-04-10 23:09:23 +03:00
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docs/TECH/1CLLMARCH-FACT.md
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@@ -1235,7 +1235,33 @@ Validation:
- `assistantDeepTurnPackagingRuntimeAdapter.test.ts`
- `assistantWave10SettlementCorrectiveRegression.test.ts`
Status: **In progress (Phase 2.1 + 2.2 + 2.3 + 2.4 + 2.5 + 2.6 + 2.7 + 2.8 + 2.9 + 2.10 + 2.11 + 2.12 + 2.13 + 2.14 + 2.15 + 2.16 + 2.17 + 2.18 + 2.19 + 2.20 + 2.21 + 2.22 + 2.23 + 2.24 + 2.25 + 2.26 + 2.27 + 2.28 + 2.29 + 2.30 + 2.31 + 2.32 + 2.33 + 2.34 + 2.35 + 2.36 + 2.37 + 2.38 completed)**
Implemented in current pass (Phase 2.39):
1. Extracted user-turn bootstrap sequence from `assistantService` into dedicated runtime adapter:
- `assistantUserTurnBootstrapRuntimeAdapter.ts`
- introduced:
- `runAssistantUserTurnBootstrapRuntime(...)`
2. Centralized user-turn bootstrap flow (behavior-preserving):
- session ensure + user message normalization/repair;
- user item append + session persistence;
- runtime analysis context projection.
3. Rewired `assistantService.handleMessage(...)` to consume bootstrap runtime output and preserve downstream `questionId` contract usage.
4. Added focused unit tests:
- `assistantUserTurnBootstrapRuntimeAdapter.test.ts`
Validation:
1. `npm run build` passed.
2. Targeted living/address/deep followup pack passed:
- `assistantUserTurnBootstrapRuntimeAdapter.test.ts`
- `assistantLivingChatLlmRuntimeAdapter.test.ts`
- `assistantLivingChatHandlerRuntimeAdapter.test.ts`
- `assistantLivingChatRuntimeAdapter.test.ts`
- `assistantAddressRuntimeAdapter.test.ts`
- `assistantAddressLaneResponseRuntimeAdapter.test.ts`
- `assistantDeepTurnResponseRuntimeAdapter.test.ts`
- `assistantDeepTurnPackagingRuntimeAdapter.test.ts`
- `assistantWave10SettlementCorrectiveRegression.test.ts`
Status: **In progress (Phase 2.1 + 2.2 + 2.3 + 2.4 + 2.5 + 2.6 + 2.7 + 2.8 + 2.9 + 2.10 + 2.11 + 2.12 + 2.13 + 2.14 + 2.15 + 2.16 + 2.17 + 2.18 + 2.19 + 2.20 + 2.21 + 2.22 + 2.23 + 2.24 + 2.25 + 2.26 + 2.27 + 2.28 + 2.29 + 2.30 + 2.31 + 2.32 + 2.33 + 2.34 + 2.35 + 2.36 + 2.37 + 2.38 + 2.39 completed)**
## Stage 3 (P2): Hybrid Semantic Layer (LLM + Deterministic Guards)