80d0ef4a8f
New packages: - packages/lewooogo-brain: AI reasoning & decision engine - IProposalEngine interface (ABC) - IIncidentProcessor interface (ABC) - Pydantic models: Proposal, Guardrails, Incident, Signal - packages/lewooogo-data: Memory provider abstraction - IMemoryProvider interface (ABC) - IDualMemoryProvider for Working + Episodic memory - Generic type support for flexible data models Documentation: - ADR-008: Python modular packages architecture decision - ARCHITECTURE_MEMORY.md: Module map index for AI developers - LOGBOOK.md: Updated milestones and Phase 6.4 status Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
147 lines
3.9 KiB
Markdown
147 lines
3.9 KiB
Markdown
# ADR-008: Python 模組化獨立積木架構
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**狀態**: 已批准
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**日期**: 2026-03-23
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**決策者**: CEO (統帥) + C-Suite
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**執行者**: CTO + Claude Code
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## 背景
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AWOOOI 2.0 的後端 Python 代碼 (`apps/api/src/services/`) 出現以下問題：
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1. **模組化原則淡化**: 所有邏輯直接寫在 `services/` 目錄，未建立獨立積木
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2. **跨模組非法引用**: `proposal_service.py` 直接 import `redis_client`, `db.base`
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3. **前後端積木不對稱**: 前端有 `packages/lewooogo-core` (TS)，後端無對應 Python 積木
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4. **Skill Registry 缺失**: 6 個 Skill MD 檔案無動態載入機制
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## 決策
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**採用統帥方案 (方案 A): 在 `packages/` 下建立獨立 Python 積木**
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### 放棄的方案
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- **方案 B (漸進式)**: 在 `apps/api/src/` 內建立 `brain/`、`memory/` 模組
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- **理由**: 無法達成真正的物理隔離，違反 leWOOOgo 積木化原則
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### 採用的技術
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```toml
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# apps/api/pyproject.toml
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dependencies = [
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"lewooogo-brain @ file:../../packages/lewooogo-brain",
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"lewooogo-data @ file:../../packages/lewooogo-data",
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]
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```
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使用 `pip install -e .` (Editable Install) 達成本地聯動開發。
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## 積木職責定義
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### lewooogo-brain (AI 邏輯積木)
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| 模組 | 職責 |
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|------|------|
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| `interfaces/` | ABC 定義 (IProposalEngine, IIncidentProcessor) |
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| `engines/` | 推論引擎 (IncidentEngine, ProposalEngine) |
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| `skills/` | Skill 動態載入器 |
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### lewooogo-data (資料抽象積木)
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| 模組 | 職責 |
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|------|------|
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| `interfaces/` | ABC 定義 (IMemoryProvider) |
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| `providers/` | 具體實作 (RedisMemory, PgMemory) |
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## 目錄結構
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```
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packages/
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├── lewooogo-core/ # TS 前端積木 (已有)
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├── lewooogo-brain/ # Python AI 積木 (新建)
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│ ├── pyproject.toml
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│ └── src/lewooogo_brain/
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│ ├── __init__.py
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│ ├── interfaces/
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│ │ ├── __init__.py
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│ │ ├── proposal_engine.py
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│ │ └── incident_processor.py
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│ ├── engines/
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│ │ ├── __init__.py
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│ │ ├── incident_engine.py
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│ │ └── proposal_engine.py
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│ └── skills/
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│ ├── __init__.py
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│ └── loader.py
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└── lewooogo-data/ # Python 資料積木 (新建)
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├── pyproject.toml
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└── src/lewooogo_data/
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├── __init__.py
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├── interfaces/
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│ ├── __init__.py
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│ └── memory_provider.py
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└── providers/
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├── __init__.py
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├── redis_memory.py
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└── pg_memory.py
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```
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## 引用方式
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```python
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# apps/api/src/api/v1/incidents.py
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from lewooogo_brain.engines import ProposalEngine
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from lewooogo_data.providers import RedisMemory
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engine = ProposalEngine(memory=RedisMemory())
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proposal = await engine.generate(incident_id)
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```
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## 依賴配置
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### lewooogo-brain
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```toml
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dependencies = [
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"pydantic>=2.5.0",
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"structlog>=24.1.0",
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"opentelemetry-api>=1.20.0",
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"lewooogo-data", # 依賴資料積木
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]
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```
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### lewooogo-data
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```toml
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dependencies = [
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"pydantic>=2.5.0",
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"redis>=5.0.0",
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"sqlalchemy[asyncio]>=2.0.0",
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"structlog>=24.1.0",
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]
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```
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## 後果
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### 優點
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1. **完全物理隔離**: Brain 和 Data 積木可獨立測試、獨立部署
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2. **可複用性**: 其他專案可直接引用這些積木
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3. **符合 leWOOOgo 原則**: 高內聚、低耦合
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4. **介面先行**: 強制定義 ABC，再實作具體類別
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### 缺點
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1. **初期工時增加**: 約 3-4 天建立積木骨架
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2. **依賴管理複雜度**: 需維護多個 pyproject.toml
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3. **學習曲線**: 團隊需適應新的引用方式
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## 相關決策
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- ADR-003: leWOOOgo 模組架構 (前端 TS 版)
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- ADR-005: BFF 閘道架構
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## 參考資料
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- [Python Packaging User Guide](https://packaging.python.org/)
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- [PEP 621 – Storing project metadata in pyproject.toml](https://peps.python.org/pep-0621/)
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