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三個問題同時修復： 1. main.py: 補上 init_mcp_tool_registry() 呼叫 - ADR-081 Phase 1 建立了 MCPToolRegistry 但從未在 lifespan startup 被呼叫 - 導致 PreDecisionInvestigator sensors=0/0，evidence_summary 永遠空白 - 空白 evidence → Diagnostician 永遠 ABSTAIN 2. signal_producer.py: str(dict) → json.dumps() - labels/annotations 用 Python str() 序列化，寫入 Redis 後無法反序列化 3. brain/incident_engine.py: 新增 _parse_dict_field() helper - 從 Redis 讀回的 labels/annotations 可能是 JSON 字串 - isinstance(..., dict) 防禦不足，需先 json.loads() 2026-04-16 ogt + Claude Sonnet 4.6（亞太）: 飛輪感官修復 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
122 lines
3.3 KiB
Python
122 lines
3.3 KiB
Python
"""
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Signal Producer Service - Phase 17 P0 Router 層違規修復
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======================================================
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封裝 Redis Stream 的 Signal 生產邏輯，消除 Router 層直接存取 Redis。
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功能:
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- XADD 寫入 Redis Stream
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- Trace Context 傳遞
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符合 leWOOOgo 積木化規範:
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- Router -> Service -> Redis
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"""
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import json
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from dataclasses import dataclass
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from typing import Any
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import structlog
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from src.core.redis_client import get_redis
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from src.core.telemetry import get_trace_context
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from src.utils.timezone import now_taipei
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logger = structlog.get_logger(__name__)
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# Redis Stream 配置
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SIGNAL_STREAM_KEY = "awoooi:signals"
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SIGNAL_STREAM_MAXLEN = 10000
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@dataclass
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class SignalData:
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"""Signal 資料結構"""
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source: str
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alert_name: str
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severity: str
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namespace: str
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target: str
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message: str
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labels: dict[str, Any] | None = None
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annotations: dict[str, Any] | None = None
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class SignalProducerService:
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"""
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Signal 生產者服務
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封裝 Redis Stream 的 XADD 操作
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"""
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async def produce(self, signal: SignalData) -> str:
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"""
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將 Signal 寫入 Redis Stream
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Phase 17: 從 Router 層遷移至 Service 層
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使用 Redis Streams (XADD) 實現非同步事件總線:
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- MAXLEN ~10000: 限制 Stream 長度，自動裁剪舊訊息
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- *: 自動生成 Message ID
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Args:
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signal: Signal 資料
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Returns:
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str: Redis Stream Message ID
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"""
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redis_client = get_redis()
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# 組裝 Signal 字典 (所有值必須是字串)
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signal_dict = {
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"source": signal.source,
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"alert_name": signal.alert_name,
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"severity": signal.severity,
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"namespace": signal.namespace,
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"target": signal.target,
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"message": signal.message,
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"labels": json.dumps(signal.labels or {}),
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"annotations": json.dumps(signal.annotations or {}),
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"received_at": now_taipei().isoformat(),
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}
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# Phase 15.2: 注入 Trace Context
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trace_ctx = get_trace_context()
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if trace_ctx:
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signal_dict["_trace_id"] = trace_ctx.get("trace_id", "")
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signal_dict["_span_id"] = trace_ctx.get("span_id", "")
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# XADD 寫入 Stream
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message_id = await redis_client.xadd(
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SIGNAL_STREAM_KEY,
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signal_dict,
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maxlen=SIGNAL_STREAM_MAXLEN,
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approximate=True, # ~MAXLEN 近似裁剪，效能更好
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)
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logger.info(
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"signal_produced",
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message_id=message_id,
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source=signal.source,
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alert_name=signal.alert_name,
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severity=signal.severity,
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trace_id=trace_ctx.get("trace_id") if trace_ctx else None,
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)
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return message_id
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# =============================================================================
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# Singleton
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# =============================================================================
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_signal_producer: SignalProducerService | None = None
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def get_signal_producer() -> SignalProducerService:
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"""取得 SignalProducerService 實例 (Singleton)"""
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global _signal_producer
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if _signal_producer is None:
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_signal_producer = SignalProducerService()
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return _signal_producer
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