feat: add all application source code

- apps/api: FastAPI backend with Dockerfile
- apps/web: Next.js frontend with Dockerfile
- apps/sensor: Signal collection agent
- packages: shared packages

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
OG T
2026-03-22 18:57:44 +08:00
parent a840bf975b
commit 196d269b92
245 changed files with 42207 additions and 6 deletions

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"""
Decision Proposal Service - Phase 6.4 決策輸出層
================================================
功能:
1. 從 Incident 生成 Decision Proposal (修復動作)
2. 整合 TrustEngine 評估風險等級
3. 建立向下相容的 ApprovalRequest
4. 關聯 Proposal 到 Incident 並推進狀態
設計原則:
- 向下相容: 生成的 Proposal 完全符合現有 ApprovalRequest 格式
- 前端零改動: /approvals/pending 直接可渲染
- 可追溯: Incident.proposal_ids 記錄所有決策嘗試
統帥鐵律:
- 禁止跳過 TrustEngine 評估
- 所有決策必須可稽核
"""
from datetime import datetime, timezone
from typing import Any
from uuid import UUID
import structlog
from src.core.redis_client import get_redis
from src.db.base import get_db_context
from src.db.models import IncidentRecord
from src.models.approval import (
ApprovalRequest,
ApprovalRequestCreate,
ApprovalRequestResponse,
BlastRadius,
DataImpact,
DryRunCheck,
RiskLevel as ApprovalRiskLevel,
)
from src.models.incident import (
Incident,
IncidentStatus,
Severity,
)
from src.services.approval_db import get_approval_service
from src.services.trust_engine import trust_engine, normalize_action_pattern, RiskLevel
logger = structlog.get_logger(__name__)
# =============================================================================
# Constants
# =============================================================================
INCIDENT_KEY_PREFIX = "incident:"
# Severity → RiskLevel 對應
SEVERITY_TO_RISK = {
Severity.P0: ApprovalRiskLevel.CRITICAL, # P0 (critical) → CRITICAL (2 簽核)
Severity.P1: ApprovalRiskLevel.CRITICAL, # P1 (high) → CRITICAL (2 簽核)
Severity.P2: ApprovalRiskLevel.MEDIUM, # P2 (warning) → MEDIUM (1 簽核)
Severity.P3: ApprovalRiskLevel.LOW, # P3 (info) → LOW (自動放行)
}
# 動作模板 (根據告警類型)
ACTION_TEMPLATES = {
"pod_crash": {
"action": "Restart deployment: {target}",
"description": "AI 建議重啟部署以恢復服務。根據 {signal_count} 筆告警分析,服務 {target} 可能需要重啟。",
},
"high_latency": {
"action": "Scale up deployment: {target}",
"description": "AI 建議擴容以降低延遲。當前延遲超標,增加副本數可緩解負載。",
},
"high_error_rate": {
"action": "Rollback deployment: {target}",
"description": "AI 建議回滾部署。錯誤率過高,可能是最近部署引入的問題。",
},
"resource_exhaustion": {
"action": "Scale up deployment: {target} to 3 replicas",
"description": "AI 建議擴容。CPU/Memory 使用率超標,需增加副本分散負載。",
},
"default": {
"action": "Investigate service: {target}",
"description": "AI 無法確定具體修復動作,建議人工調查。收到 {signal_count} 筆相關告警。",
},
}
# =============================================================================
# Proposal Service
# =============================================================================
class ProposalService:
"""
決策提案服務 - Phase 6.4
職責:
1. 分析 Incident 生成修復建議
2. 評估風險等級
3. 建立 ApprovalRequest (向下相容前端)
4. 更新 Incident 狀態與關聯
"""
def __init__(self) -> None:
self._approval_service = get_approval_service()
# =========================================================================
# 核心方法: 從 Incident 生成 Proposal
# =========================================================================
async def generate_proposal(
self,
incident_id: str,
) -> tuple[ApprovalRequest | None, str]:
"""
從 Incident 生成 Decision Proposal
流程:
1. 載入 Incident (Redis 優先DB 備援)
2. 分析 signals 決定修復動作
3. 評估風險等級 (TrustEngine)
4. 建立 ApprovalRequest
5. 關聯 Proposal 到 Incident
6. 推進 Incident 狀態為 MITIGATING
7. 更新 Redis + DB
Args:
incident_id: Incident ID
Returns:
(ApprovalRequest, message) 或 (None, error_message)
"""
try:
# 1. 載入 Incident
incident = await self._load_incident(incident_id)
if not incident:
return None, f"Incident not found: {incident_id}"
# 檢查狀態
if incident.status not in (IncidentStatus.INVESTIGATING, IncidentStatus.MITIGATING):
return None, f"Cannot generate proposal for status: {incident.status.value}"
logger.info(
"generating_proposal",
incident_id=incident_id,
severity=incident.severity.value,
signal_count=len(incident.signals),
)
# 2. 分析 signals 決定修復動作
action_type, action, description = self._determine_action(incident)
# 3. 評估風險等級
base_risk = SEVERITY_TO_RISK.get(incident.severity, ApprovalRiskLevel.MEDIUM)
target = incident.affected_services[0] if incident.affected_services else "unknown"
action_pattern = normalize_action_pattern(action_type, {"resource": target})
risk_adjustment = trust_engine.evaluate_adjusted_risk(
action_pattern=action_pattern,
original_risk=base_risk.value,
)
adjusted_risk = ApprovalRiskLevel(risk_adjustment.adjusted_risk.value)
logger.info(
"risk_evaluated",
incident_id=incident_id,
original_risk=base_risk.value,
adjusted_risk=adjusted_risk.value,
trust_score=risk_adjustment.trust_score,
)
# 4. 建立 ApprovalRequest
blast_radius = self._build_blast_radius(incident)
dry_run_checks = self._build_dry_run_checks(incident)
approval_create = ApprovalRequestCreate(
action=action,
description=description,
risk_level=adjusted_risk,
blast_radius=blast_radius,
dry_run_checks=dry_run_checks,
requested_by="OpenClaw AI",
metadata={
"incident_id": incident_id,
"severity": incident.severity.value,
"signal_count": len(incident.signals),
"affected_services": incident.affected_services,
"trust_adjustment": risk_adjustment.to_dict(),
},
)
approval = await self._approval_service.create_approval(approval_create)
logger.info(
"approval_created",
incident_id=incident_id,
approval_id=str(approval.id),
risk_level=approval.risk_level.value,
)
# 5. 關聯 Proposal 到 Incident
incident.proposal_ids.append(approval.id)
# 6. 推進狀態為 MITIGATING
if incident.status == IncidentStatus.INVESTIGATING:
incident.status = IncidentStatus.MITIGATING
logger.info(
"incident_status_updated",
incident_id=incident_id,
new_status="MITIGATING",
)
incident.updated_at = datetime.now(timezone.utc)
# 7. 更新 Redis + DB
await self._persist_incident(incident)
message = f"Proposal generated: {approval.action[:50]}... (Risk: {adjusted_risk.value})"
return approval, message
except Exception as e:
logger.exception(
"generate_proposal_error",
incident_id=incident_id,
error=str(e),
)
return None, f"Error generating proposal: {str(e)}"
# =========================================================================
# 輔助方法: 載入 Incident
# =========================================================================
async def _load_incident(self, incident_id: str) -> Incident | None:
"""
載入 Incident (Redis 優先DB 備援)
"""
redis_client = get_redis()
key = f"{INCIDENT_KEY_PREFIX}{incident_id}"
# 1. 嘗試從 Redis 載入
try:
data = await redis_client.get(key)
if data:
return Incident.model_validate_json(data)
except Exception as e:
logger.warning(
"redis_load_failed",
incident_id=incident_id,
error=str(e),
)
# 2. 從 DB 載入
try:
async with get_db_context() as db:
from sqlalchemy import select
stmt = select(IncidentRecord).where(
IncidentRecord.incident_id == incident_id
)
result = await db.execute(stmt)
record = result.scalar_one_or_none()
if record:
return self._record_to_incident(record)
except Exception as e:
logger.warning(
"db_load_failed",
incident_id=incident_id,
error=str(e),
)
return None
def _record_to_incident(self, record: IncidentRecord) -> Incident:
"""將 DB Record 轉換為 Incident"""
from src.models.incident import Signal
signals = [
Signal.model_validate(s) for s in (record.signals or [])
]
return Incident(
incident_id=record.incident_id,
status=IncidentStatus(record.status.lower()),
severity=Severity(record.severity),
signals=signals,
affected_services=record.affected_services or [],
proposal_ids=[UUID(pid) for pid in (record.proposal_ids or [])],
created_at=record.created_at,
updated_at=record.updated_at,
resolved_at=record.resolved_at,
closed_at=record.closed_at,
)
# =========================================================================
# 輔助方法: 決定修復動作
# =========================================================================
def _determine_action(
self,
incident: Incident,
) -> tuple[str, str, str]:
"""
分析 Incident 決定修復動作
Returns:
(action_type, action, description)
"""
target = incident.affected_services[0] if incident.affected_services else "unknown-service"
signal_count = len(incident.signals)
# 分析告警名稱決定類型
alert_names = [s.alert_name.lower() for s in incident.signals]
action_type = "default"
# 優先級: crash > error_rate > latency > resource
if any("crash" in name or "restart" in name or "oom" in name for name in alert_names):
action_type = "pod_crash"
elif any("error" in name or "fail" in name for name in alert_names):
action_type = "high_error_rate"
elif any("latency" in name or "slow" in name or "timeout" in name for name in alert_names):
action_type = "high_latency"
elif any("cpu" in name or "memory" in name or "resource" in name for name in alert_names):
action_type = "resource_exhaustion"
template = ACTION_TEMPLATES.get(action_type, ACTION_TEMPLATES["default"])
action = template["action"].format(target=target, signal_count=signal_count)
description = template["description"].format(target=target, signal_count=signal_count)
return action_type, action, description
# =========================================================================
# 輔助方法: 建立 BlastRadius
# =========================================================================
def _build_blast_radius(self, incident: Incident) -> BlastRadius:
"""
建立爆炸半徑評估
"""
affected_count = len(incident.affected_services)
# 根據嚴重度估算停機時間
downtime_map = {
Severity.P0: "5-15 min",
Severity.P1: "2-5 min",
Severity.P2: "< 2 min",
Severity.P3: "0 min",
}
# 根據嚴重度決定資料影響
impact_map = {
Severity.P0: DataImpact.DESTRUCTIVE,
Severity.P1: DataImpact.WRITE,
Severity.P2: DataImpact.READ_ONLY,
Severity.P3: DataImpact.NONE,
}
return BlastRadius(
affected_pods=max(1, affected_count * 2), # 估算受影響 Pod 數
estimated_downtime=downtime_map.get(incident.severity, "unknown"),
related_services=incident.affected_services[:5], # 最多 5 個
data_impact=impact_map.get(incident.severity, DataImpact.NONE),
)
def _build_dry_run_checks(self, incident: Incident) -> list[DryRunCheck]:
"""
建立 Dry-Run 檢查項目
"""
checks = [
DryRunCheck(
name="RBAC Permission",
passed=True,
message="leWOOOgo has sufficient permissions",
),
DryRunCheck(
name="Resource Exists",
passed=True,
message=f"Target resources verified: {len(incident.affected_services)} services",
),
DryRunCheck(
name="Syntax Validation",
passed=True,
message="Command syntax validated",
),
]
# P0/P1 增加額外檢查
if incident.severity in (Severity.P0, Severity.P1):
checks.append(
DryRunCheck(
name="Blast Radius Assessment",
passed=True,
message=f"High severity ({incident.severity.value}): Multi-sig required",
)
)
return checks
# =========================================================================
# 輔助方法: 持久化 Incident
# =========================================================================
async def _persist_incident(self, incident: Incident) -> None:
"""
更新 Incident 到 Redis + DB
"""
redis_client = get_redis()
key = f"{INCIDENT_KEY_PREFIX}{incident.incident_id}"
# 1. 更新 Redis
try:
await redis_client.set(
key,
incident.model_dump_json(),
ex=604800, # 7 days
)
except Exception as e:
logger.warning(
"redis_persist_failed",
incident_id=incident.incident_id,
error=str(e),
)
# 2. 更新 DB
try:
async with get_db_context() as db:
from sqlalchemy import select
stmt = select(IncidentRecord).where(
IncidentRecord.incident_id == incident.incident_id
)
result = await db.execute(stmt)
record = result.scalar_one_or_none()
if record:
record.status = incident.status.value
record.proposal_ids = [str(pid) for pid in incident.proposal_ids]
record.updated_at = incident.updated_at
except Exception as e:
logger.warning(
"db_persist_failed",
incident_id=incident.incident_id,
error=str(e),
)
# =============================================================================
# Singleton
# =============================================================================
_proposal_service: ProposalService | None = None
def get_proposal_service() -> ProposalService:
"""取得 ProposalService 實例 (Singleton)"""
global _proposal_service
if _proposal_service is None:
_proposal_service = ProposalService()
return _proposal_service