Blueking Lite 更新：人机协同决策交互优化与三员管理落地

# 三员管理角色定义 - 适用于 Kubernetes RBAC 或类似权限体系
# 假设运维平台运行在 K8s 上，以下为最小化角色定义

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: ops-system-admin
rules:
  # 系统管理员：平台配置与用户管理
  - apiGroups: ["ops.blueking.io"]
    resources: ["platformconfigs", "users", "featureflags"]
    verbs: ["get", "list", "create", "update", "delete"]
  # 明确排除：不能操作安全策略和审计记录
  - apiGroups: ["ops.blueking.io"]
    resources: ["securitypolicies", "auditlogs"]
    verbs: []  # 无权限

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: ops-security-admin
rules:
  # 安全管理员：安全策略与高危操作审批
  - apiGroups: ["ops.blueking.io"]
    resources: ["securitypolicies", "passwordpolicies", "hazardousapprovals"]
    verbs: ["get", "list", "create", "update"]
  # 明确排除：不能修改系统配置和用户
  - apiGroups: ["ops.blueking.io"]
    resources: ["platformconfigs", "users"]
    verbs: []

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: ops-audit-admin
rules:
  # 审计管理员：只读审计日志，生成合规报告
  - apiGroups: ["ops.blueking.io"]
    resources: ["auditlogs", "compliancereports"]
    verbs: ["get", "list"]
  # 明确排除：不能执行任何写操作
  - apiGroups: ["ops.blueking.io"]
    resources: ["platformconfigs", "securitypolicies", "users"]
    verbs: []

---
# 角色绑定示例 - 将不同用户绑定到对应角色
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: system-admin-binding
subjects:
  - kind: User
    name: zhangwei
roleRef:
  kind: ClusterRole
  name: ops-system-admin
  apiGroup: rbac.authorization.k8s.io

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: security-admin-binding
subjects:
  - kind: User
    name: liming
roleRef:
  kind: ClusterRole
  name: ops-security-admin
  apiGroup: rbac.authorization.k8s.io

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: audit-admin-binding
subjects:
  - kind: User
    name: chenfang
roleRef:
  kind: ClusterRole
  name: ops-audit-admin
  apiGroup: rbac.authorization.k8s.io

"""
模拟人机协同决策流程：AI 生成建议 → 人确认 → 安全管理员审批（高危） → 自动执行
实际使用时替换为 Blueking Lite SDK 或自研平台的 API 调用
"""

from enum import Enum
from dataclasses import dataclass

class RiskLevel(Enum):
    LOW = "low"
    MEDIUM = "medium"
    HIGH = "high"

class Role(Enum):
    SYSTEM_ADMIN = "system_admin"
    SECURITY_ADMIN = "security_admin"
    AUDIT_ADMIN = "audit_admin"

@dataclass
class AIActionSuggestion:
    action_id: str
    description: str
    risk_level: RiskLevel
    affected_resources: list[str]
    estimated_impact: str

def generate_suggestions(alert_context: dict) -> list[AIActionSuggestion]:
    """AI 根据告警上下文生成处置建议（模拟）"""
    # 实际场景中调用平台 AI 引擎
    return [
        AIActionSuggestion(
            action_id="restart-service",
            description="重启异常服务进程",
            risk_level=RiskLevel.MEDIUM,
            affected_resources=["app-server-01", "app-server-02"],
            estimated_impact="服务中断约 30 秒"
        ),
        AIActionSuggestion(
            action_id="scale-up-cluster",
            description="扩容集群节点",
            risk_level=RiskLevel.LOW,
            affected_resources=["cluster-prod"],
            estimated_impact="资源成本增加约 15%"
        ),
    ]

def human_confirm(suggestions: list[AIActionSuggestion], operator_role: Role) -> dict:
    """运维人员逐项确认，高危操作需安全管理员二次审批"""
    confirmed = {}
    for s in suggestions:
        # 模拟运维人员确认逻辑
        print(f"[{s.risk_level.value}] {s.description}")
        print(f"  影响范围: {s.affected_resources}")
        print(f"  预估影响: {s.estimated_impact}")

        # 低风险：系统管理员可直接确认
        if s.risk_level == RiskLevel.LOW and operator_role == Role.SYSTEM_ADMIN:
            confirmed[s.action_id] = "approved_directly"

        # 中高风险：需要安全管理员审批
        elif s.risk_level in (RiskLevel.MEDIUM, RiskLevel.HIGH):
            confirmed[s.action_id] = "pending_security_approval"
            print(f"  ⚠ 需安全管理员审批后执行")

        # 审计管理员无执行权限
        elif operator_role == Role.AUDIT_ADMIN:
            confirmed[s.action_id] = "rejected_no_execution_permission"

    return confirmed

def security_approve(confirmed: dict, suggestions: list[AIActionSuggestion]) -> dict:
    """安全管理员审批高危操作"""
    final = {}
    for s in suggestions:
        status = confirmed.get(s.action_id)
        if status == "pending_security_approval":
            # 模拟安全管理员审批
            final[s.action_id] = "approved_with_condition"
            print(f"[审批通过] {s.description} - 执行前需通知相关团队")
        else:
            final[s.action_id] = status
    return final

# 运行示例
alert = {"type": "service_anomaly", "service": "order-service"}
suggestions = generate_suggestions(alert)
confirmed = human_confirm(suggestions, Role.SYSTEM_ADMIN)
final = security_approve(confirmed, suggestions)
print("\n最终执行计划:", final)