feat(phase6-9): Complete modular architecture and Agent Teams
Phase 6.4 - Modular Architecture: - Add lewooogo-brain adapters for LLM providers - Add lewooogo-data dual memory (Redis + PostgreSQL) - Implement consensus engine for multi-agent decisions - Add incident memory service for historical context Phase 9 - Agent Teams (Claude Agent SDK): - Add base agent class with Claude Sonnet 4 integration - Implement action planner, blast radius, and security agents - Add agent API endpoints and proposal workflow - Integrate ADR-009 OpenClaw Agent Teams architecture DevOps & CI/CD: - Add GitHub Actions CI/CD workflows (ci.yaml, cd.yaml) - Add pre-commit hooks and secrets baseline - Add docker-compose for local development - Update Kubernetes network policies Frontend Improvements: - Add auto-healing error boundary component - Update i18n messages for agent features - Enhance dual-state incident card with execution feedback Documentation: - Add 7 ADRs covering MCP, design system, architecture decisions - Update ARCHITECTURE_MEMORY.md with modular design - Add GLOBAL_RULES.md and SOUL.md for project identity Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
OG T
483
apps/api/src/services/incident_memory.py
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483
apps/api/src/services/incident_memory.py
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"""
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Incident Memory Provider - 事件記憶體提供者
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============================================
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Phase 6.4e: DualIncidentMemory 整合
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設計:
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- 實作 IIncidentMemory 協定 (Protocol)
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- 雙層記憶體: Working (Redis) + Episodic (PostgreSQL)
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- 反向索引: namespace:target -> incident_id
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統帥鐵律:
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- Working Memory (Redis): 7 天 TTL
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- Episodic Memory (PostgreSQL): 永久
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- 反向索引: 30 分鐘 TTL (聚合窗口)
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NOTE: 此模組為 lewooogo-brain/adapters/incident_memory.py 的 apps/api 內嵌版本
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待 Phase 6.4i 完成 monorepo Docker 解法後，將直接引用 lewooogo-brain 套件
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"""
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from datetime import datetime, timezone, timedelta
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from typing import Any, Protocol
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import structlog
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from src.core.redis_client import get_redis
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from src.db.base import get_db_context
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from src.db.models import IncidentRecord
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from src.models.incident import Incident
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logger = structlog.get_logger(__name__)
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# =============================================================================
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# Constants
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# =============================================================================
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WORKING_MEMORY_TTL = 604800 # 7 天
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AGGREGATION_WINDOW_MINUTES = 30
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INDEX_TTL = 1800 # 索引 30 分鐘 TTL
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# Redis Key Patterns
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INCIDENT_KEY_PREFIX = "awoooi:incidents:"
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INDEX_PREFIX = "awoooi:incidents:index:"
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# =============================================================================
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# Protocol Definition (與 lewooogo-brain 保持一致)
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# =============================================================================
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class IIncidentMemory(Protocol):
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"""Incident 專用記憶體提供者協定"""
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async def load_incident(self, incident_id: str) -> Incident | None:
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"""從 Working Memory 載入 Incident"""
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...
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async def save_incident(self, incident: Incident, ttl_seconds: int = WORKING_MEMORY_TTL) -> bool:
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"""儲存 Incident 到 Working Memory (預設 7 天 TTL)"""
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...
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async def persist_incident(self, incident: Incident) -> bool:
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"""持久化到 Episodic Memory (PostgreSQL)"""
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...
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async def find_related_incident(
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self,
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namespace: str,
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target: str,
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window_minutes: int = AGGREGATION_WINDOW_MINUTES,
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) -> Incident | None:
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"""尋找相關的活躍 Incident (用於聚合)"""
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...
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async def update_index(
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self,
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incident_id: str,
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namespace: str,
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target: str,
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) -> bool:
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"""更新反向索引 (namespace/target -> incident_id)"""
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...
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# =============================================================================
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# DualIncidentMemory Implementation
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# =============================================================================
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class DualIncidentMemory:
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"""
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Incident 專用雙層記憶體適配器
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實作 IIncidentMemory 協定:
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- load_incident: 從 Working/Episodic 載入
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- save_incident: 儲存到 Working
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- persist_incident: 持久化到 Episodic
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- find_related_incident: 透過反向索引尋找相關 Incident
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- update_index: 更新反向索引
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反向索引結構:
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Key: awoooi:incidents:index:{namespace}:{target}
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Value: incident_id
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TTL: 30 分鐘 (聚合窗口)
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"""
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def __init__(self, redis_client: Any = None, key_prefix: str = INCIDENT_KEY_PREFIX):
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"""
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初始化適配器
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Args:
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redis_client: Redis 連線客戶端 (可選，預設使用 get_redis())
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key_prefix: Redis Key 前綴
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"""
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self._redis = redis_client
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self._key_prefix = key_prefix
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self._index_prefix = INDEX_PREFIX
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def _get_redis(self) -> Any:
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"""取得 Redis 客戶端 (延遲初始化)"""
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if self._redis is None:
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self._redis = get_redis()
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return self._redis
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def _make_key(self, incident_id: str) -> str:
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"""生成 Incident Key"""
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return f"{self._key_prefix}{incident_id}"
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def _make_index_key(self, namespace: str, target: str) -> str:
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"""生成索引 Key"""
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return f"{self._index_prefix}{namespace}:{target}"
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async def load_incident(self, incident_id: str) -> Incident | None:
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"""
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載入 Incident
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策略:
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1. 從 Redis (Working Memory) 讀取
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2. 若 miss，從 PostgreSQL (Episodic) 讀取
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Args:
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incident_id: Incident ID
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Returns:
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Incident 或 None
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"""
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try:
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redis_client = self._get_redis()
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key = self._make_key(incident_id)
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data = await redis_client.get(key)
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if data is not None:
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# JSON -> Incident
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return Incident.model_validate_json(data)
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# Working Memory miss, 嘗試從 Episodic Memory 載入
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logger.debug("incident_not_found_in_working", incident_id=incident_id)
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async with get_db_context() as db:
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from sqlalchemy import select
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stmt = select(IncidentRecord).where(
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IncidentRecord.incident_id == incident_id
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)
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result = await db.execute(stmt)
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record = result.scalar_one_or_none()
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if record:
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# 從 DB 重建 Incident
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incident = self._record_to_incident(record)
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# 寫回 Working Memory (快取)
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await self.save_incident(incident)
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return incident
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return None
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except Exception as e:
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logger.error("load_incident_failed", incident_id=incident_id, error=str(e))
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return None
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async def save_incident(
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self,
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incident: Incident,
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ttl_seconds: int = WORKING_MEMORY_TTL,
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) -> bool:
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"""
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儲存 Incident 到 Working Memory (Redis)
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Args:
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incident: Incident 物件
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ttl_seconds: TTL (預設 7 天)
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Returns:
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是否成功
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"""
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try:
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redis_client = self._get_redis()
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key = self._make_key(incident.incident_id)
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json_data = incident.model_dump_json()
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await redis_client.setex(key, ttl_seconds, json_data)
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logger.debug(
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"incident_saved_to_working",
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incident_id=incident.incident_id,
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ttl=ttl_seconds,
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)
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return True
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except Exception as e:
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logger.error(
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"save_incident_failed",
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incident_id=incident.incident_id,
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error=str(e),
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)
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return False
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async def persist_incident(self, incident: Incident) -> bool:
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"""
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持久化到 Episodic Memory (PostgreSQL)
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Args:
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incident: Incident 物件
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Returns:
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是否成功
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"""
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try:
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async with get_db_context() as db:
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from sqlalchemy import select
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# 檢查是否已存在
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stmt = select(IncidentRecord).where(
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IncidentRecord.incident_id == incident.incident_id
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)
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result = await db.execute(stmt)
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existing = result.scalar_one_or_none()
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if existing:
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# 更新現有記錄
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existing.status = incident.status.value
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existing.severity = incident.severity.value
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existing.signals = [
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s.model_dump(mode="json") for s in incident.signals
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]
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existing.affected_services = incident.affected_services
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existing.updated_at = incident.updated_at
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if incident.resolved_at:
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existing.resolved_at = incident.resolved_at
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if incident.closed_at:
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existing.closed_at = incident.closed_at
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else:
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# 建立新記錄
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record = IncidentRecord(
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incident_id=incident.incident_id,
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status=incident.status.value,
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severity=incident.severity.value,
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signals=[
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s.model_dump(mode="json") for s in incident.signals
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],
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affected_services=incident.affected_services,
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decision_chain=(
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incident.decision_chain.model_dump(mode="json")
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if incident.decision_chain
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else None
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),
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proposal_ids=[str(pid) for pid in incident.proposal_ids],
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outcome=(
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incident.outcome.model_dump(mode="json")
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if incident.outcome
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else None
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),
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created_at=incident.created_at,
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updated_at=incident.updated_at,
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resolved_at=incident.resolved_at,
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closed_at=incident.closed_at,
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ttl_days=incident.ttl_days,
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vectorized=incident.vectorized,
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)
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db.add(record)
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logger.debug(
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"incident_persisted_to_episodic",
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incident_id=incident.incident_id,
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)
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return True
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except Exception as e:
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logger.error(
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"persist_incident_failed",
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incident_id=incident.incident_id,
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error=str(e),
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)
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return False
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async def find_related_incident(
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self,
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namespace: str,
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target: str,
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window_minutes: int = AGGREGATION_WINDOW_MINUTES,
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) -> Incident | None:
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"""
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尋找相關的活躍 Incident (用於聚合)
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透過反向索引快速查找:
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1. 查詢索引 Key: namespace:target -> incident_id
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2. 載入 Incident
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3. 檢查是否仍在聚合窗口內
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Args:
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namespace: 命名空間
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target: 目標服務
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window_minutes: 聚合窗口 (分鐘)
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Returns:
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相關 Incident 或 None
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"""
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try:
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redis_client = self._get_redis()
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# Step 1: 查詢索引
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index_key = self._make_index_key(namespace, target)
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incident_id = await redis_client.get(index_key)
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if incident_id is None:
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return None
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# 解碼 bytes
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if isinstance(incident_id, bytes):
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incident_id = incident_id.decode()
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# Step 2: 載入 Incident
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incident = await self.load_incident(incident_id)
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if incident is None:
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# 索引存在但 Incident 不存在，清除索引
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await redis_client.delete(index_key)
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return None
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# Step 3: 檢查聚合窗口
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window_start = datetime.now(timezone.utc) - timedelta(minutes=window_minutes)
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if incident.updated_at < window_start:
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# 超出聚合窗口，不聚合
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logger.debug(
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"incident_outside_window",
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incident_id=incident_id,
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updated_at=incident.updated_at.isoformat(),
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)
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return None
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logger.debug(
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"found_related_incident",
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incident_id=incident_id,
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namespace=namespace,
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target=target,
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)
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return incident
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except Exception as e:
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logger.error(
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"find_related_incident_failed",
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namespace=namespace,
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target=target,
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error=str(e),
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)
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return None
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async def update_index(
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self,
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incident_id: str,
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namespace: str,
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target: str,
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) -> bool:
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"""
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更新反向索引
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索引結構:
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Key: awoooi:incidents:index:{namespace}:{target}
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Value: incident_id
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TTL: 30 分鐘
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Args:
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incident_id: Incident ID
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namespace: 命名空間
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target: 目標服務
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Returns:
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是否成功
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"""
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try:
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redis_client = self._get_redis()
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index_key = self._make_index_key(namespace, target)
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await redis_client.setex(index_key, INDEX_TTL, incident_id)
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logger.debug(
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"index_updated",
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incident_id=incident_id,
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namespace=namespace,
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target=target,
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ttl=INDEX_TTL,
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)
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return True
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except Exception as e:
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logger.error(
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"update_index_failed",
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incident_id=incident_id,
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namespace=namespace,
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target=target,
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error=str(e),
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)
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return False
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async def delete_incident(self, incident_id: str) -> bool:
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"""
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刪除 Incident
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Args:
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incident_id: Incident ID
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Returns:
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是否成功
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"""
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try:
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redis_client = self._get_redis()
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key = self._make_key(incident_id)
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result = await redis_client.delete(key)
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return result > 0
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except Exception as e:
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logger.error(
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"delete_incident_failed",
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incident_id=incident_id,
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error=str(e),
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)
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return False
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def _record_to_incident(self, record: IncidentRecord) -> Incident:
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"""
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將 DB Record 轉換為 Incident 物件
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Args:
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record: IncidentRecord
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Returns:
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Incident
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"""
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from src.models.incident import (
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IncidentStatus,
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Severity,
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Signal,
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)
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# 重建 Signals
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signals = []
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for s in record.signals or []:
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signals.append(Signal.model_validate(s))
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return Incident(
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incident_id=record.incident_id,
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status=IncidentStatus(record.status),
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severity=Severity(record.severity),
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signals=signals,
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affected_services=record.affected_services or [],
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proposal_ids=record.proposal_ids or [],
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created_at=record.created_at,
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updated_at=record.updated_at,
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resolved_at=record.resolved_at,
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closed_at=record.closed_at,
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ttl_days=record.ttl_days or 30,
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vectorized=record.vectorized or False,
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)
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# =============================================================================
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# Singleton
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# =============================================================================
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|
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_dual_memory: DualIncidentMemory | None = None
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|
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|
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def get_incident_memory() -> DualIncidentMemory:
|
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"""取得 DualIncidentMemory 實例 (Singleton)"""
|
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global _dual_memory
|
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if _dual_memory is None:
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_dual_memory = DualIncidentMemory()
|
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return _dual_memory
|
||||
Reference in New Issue
Block a user