ForcePilot/backend/server/routers/external_systems/alert_router.py
Kris 67ddd748e8 refactor(external_systems_router): 优化多路由代码并新增功能
1. 为告警、删除系统/环境/工具接口添加操作者字段
2. 重构看板路由使用专用服务创建函数
3. 新增工具健康检查接口并完善执行重试注释
2026-07-11 05:40:58 +08:00

303 lines
11 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""Alert 子域 Router。
外部系统限界上下文的告警事件管理 API覆盖告警列表 / 详情 / 触发 /
确认 / 恢复 / 统计聚合 / 按链路查询 / 批量确认 / 批量恢复 / 告警上下文 /
通知状态。所有端点通过 ``create_use_cases_from_db`` 装配 use_cases
经 ``alert_service`` 端口调用用例。
``list_alerts`` 支持 resource_type / resource_id / related_trace_id /
dedup_key 过滤参数。Request Schema 与 Input DTO 不共享类Router 内显式
构造 DTO确认 / 恢复操作的 ``acknowledged_by`` / ``user`` 字段由
``current_user.uid`` 填充,确保审计链路可追溯操作人。
"""
from __future__ import annotations
from datetime import datetime
from typing import Any, Literal
from fastapi import APIRouter, Body, Depends, Path, Query
from pydantic import BaseModel, ConfigDict, Field
from sqlalchemy.ext.asyncio import AsyncSession
from yuxi.external_systems.infrastructure.container import create_use_cases_from_db
from yuxi.external_systems.use_cases.dto.alert import (
AcknowledgeAlertInput,
AlertStatsInput,
BatchAcknowledgeAlertsInput,
BatchResolveAlertsInput,
FireAlertInput,
GetAlertContextInput,
GetAlertInput,
GetAlertNotificationsInput,
ListAlertsByTraceInput,
ListAlertsInput,
ResolveAlertInput,
)
from yuxi.storage.postgres.models_business import User
from server.utils.auth_middleware import get_admin_user, get_db, get_required_user
alert_router = APIRouter(prefix="/alerts", tags=["external-systems-alert"])
# ---------------- Request Schemas ----------------
class FireAlertRequest(BaseModel):
"""触发告警请求体。字段对齐 ``FireAlertInput``。"""
model_config = ConfigDict(frozen=True)
system_id: int | None = Field(default=None, ge=1)
alert_type: str = Field(..., min_length=1, max_length=64)
title: str = Field(..., min_length=1, max_length=256)
triggered_at: datetime
env_key: str | None = Field(default=None, max_length=32)
severity: Literal["info", "warning", "critical", "fatal"] = "warning"
description: str | None = None
detail: dict[str, Any] = Field(default_factory=dict)
resource_type: str | None = Field(default=None, max_length=32)
resource_id: str | None = Field(default=None, max_length=128)
related_execution_id: str | None = Field(default=None, max_length=64)
related_trace_id: str | None = Field(default=None, max_length=64)
metric_snapshot: dict[str, Any] | None = None
dedup_key: str | None = Field(default=None, max_length=256)
class AcknowledgeAlertRequest(BaseModel):
"""确认告警请求体。``acknowledged_by`` 由当前管理员填充,仅暴露 ``note``。"""
model_config = ConfigDict(frozen=True)
note: str | None = None
class ResolveAlertRequest(BaseModel):
"""恢复告警请求体。字段对齐 ``ResolveAlertInput``(不含 id / user"""
model_config = ConfigDict(frozen=True)
resolution_note: str | None = None
class BatchAcknowledgeAlertsRequest(BaseModel):
"""批量确认告警请求体。字段对齐 ``BatchAcknowledgeAlertsInput``(不含 acknowledged_by"""
model_config = ConfigDict(frozen=True)
alert_ids: list[int] = Field(..., min_length=1, max_length=100)
note: str | None = None
class BatchResolveAlertsRequest(BaseModel):
"""批量恢复告警请求体。字段对齐 ``BatchResolveAlertsInput``(不含 user"""
model_config = ConfigDict(frozen=True)
alert_ids: list[int] = Field(..., min_length=1, max_length=100)
resolution_note: str | None = None
# ---------------- Endpoints ----------------
@alert_router.get("", response_model=dict)
async def list_alerts(
limit: int = Query(100, ge=1, le=500),
offset: int = Query(0, ge=0),
system_id: int | None = Query(None, ge=1),
env_key: str | None = Query(None, max_length=32),
alert_type: str | None = Query(None, max_length=64),
severity: Literal["info", "warning", "critical", "fatal"] | None = Query(
None, description="严重度info/warning/critical/fatal"
),
status: Literal["firing", "acknowledged", "resolved", "suppressed"] | None = Query(
None, description="告警状态firing/acknowledged/resolved/suppressed"
),
start_time: datetime | None = Query(None, description="ISO8601 开始时间"),
end_time: datetime | None = Query(None, description="ISO8601 结束时间"),
# 新增查询参数
resource_type: str | None = Query(None, max_length=32),
resource_id: str | None = Query(None, max_length=128),
related_trace_id: str | None = Query(None, max_length=64),
dedup_key: str | None = Query(None, max_length=256),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
"""分页列出告警事件(支持 resource_type / resource_id / related_trace_id / dedup_key 过滤)。"""
use_cases = create_use_cases_from_db(db)
input_dto = ListAlertsInput(
limit=limit,
offset=offset,
system_id=system_id,
env_key=env_key,
alert_type=alert_type,
severity=severity,
status=status,
start_at=start_time,
end_at=end_time,
resource_type=resource_type,
resource_id=resource_id,
related_trace_id=related_trace_id,
dedup_key=dedup_key,
)
output = await use_cases.alert_service.list_alerts(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.get("/stats", response_model=dict)
async def get_alert_stats(
system_id: int | None = Query(None, ge=1),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
"""查询告警统计聚合。"""
use_cases = create_use_cases_from_db(db)
input_dto = AlertStatsInput(system_id=system_id)
output = await use_cases.alert_service.get_alert_stats(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.get("/by-trace/{trace_id}", response_model=dict)
async def list_alerts_by_trace(
trace_id: str,
limit: int = Query(100, ge=1, le=500),
offset: int = Query(0, ge=0),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
"""按链路 ID 查询告警(通过 related_trace_id 关联,支持分页)。"""
use_cases = create_use_cases_from_db(db)
input_dto = ListAlertsByTraceInput(
trace_id=trace_id,
limit=limit,
offset=offset,
)
output = await use_cases.alert_service.list_alerts_by_trace(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.post("/batch-acknowledge", response_model=dict)
async def batch_acknowledge_alerts(
payload: BatchAcknowledgeAlertsRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
"""批量确认告警。``acknowledged_by`` 由当前管理员填充。"""
use_cases = create_use_cases_from_db(db)
input_dto = BatchAcknowledgeAlertsInput(
alert_ids=payload.alert_ids,
note=payload.note,
acknowledged_by=current_user.uid,
)
output = await use_cases.alert_service.batch_acknowledge_alerts(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.post("/batch-resolve", response_model=dict)
async def batch_resolve_alerts(
payload: BatchResolveAlertsRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
"""批量恢复告警。``user`` 由当前管理员填充,确保审计可追溯。"""
use_cases = create_use_cases_from_db(db)
input_dto = BatchResolveAlertsInput(
alert_ids=payload.alert_ids,
user=current_user.uid,
resolution_note=payload.resolution_note,
)
output = await use_cases.alert_service.batch_resolve_alerts(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.get("/{alert_id}", response_model=dict)
async def get_alert(
alert_id: int = Path(ge=1),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
"""获取告警详情。"""
use_cases = create_use_cases_from_db(db)
input_dto = GetAlertInput(id=alert_id)
output = await use_cases.alert_service.get_alert(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.post("", response_model=dict)
async def fire_alert(
payload: FireAlertRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
"""触发告警事件。"""
use_cases = create_use_cases_from_db(db)
input_dto = FireAlertInput(
**payload.model_dump(),
triggered_by=current_user.uid,
)
output = await use_cases.alert_service.fire_alert(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.post("/{alert_id}/acknowledge", response_model=dict)
async def acknowledge_alert(
alert_id: int = Path(ge=1),
payload: AcknowledgeAlertRequest = Body(...),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
"""确认告警。``acknowledged_by`` 由当前管理员 uid 填充,``note`` 可选。"""
use_cases = create_use_cases_from_db(db)
input_dto = AcknowledgeAlertInput(
id=alert_id,
acknowledged_by=current_user.uid,
note=payload.note,
)
output = await use_cases.alert_service.acknowledge_alert(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.post("/{alert_id}/resolve", response_model=dict)
async def resolve_alert(
alert_id: int = Path(ge=1),
payload: ResolveAlertRequest = Body(...),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
"""恢复告警。``user`` 由当前管理员 uid 填充,确保审计可追溯。"""
use_cases = create_use_cases_from_db(db)
input_dto = ResolveAlertInput(
id=alert_id,
user=current_user.uid,
resolution_note=payload.resolution_note,
)
output = await use_cases.alert_service.resolve_alert(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.get("/{alert_id}/context", response_model=dict)
async def get_alert_context(
alert_id: int = Path(ge=1),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
"""查询告警上下文(含执行记录 + 指标快照)。"""
use_cases = create_use_cases_from_db(db)
input_dto = GetAlertContextInput(alert_id=alert_id)
output = await use_cases.alert_service.get_alert_context(input_dto)
return {"success": True, "data": output.model_dump()}
@alert_router.get("/{alert_id}/notifications", response_model=dict)
async def get_alert_notifications(
alert_id: int = Path(ge=1),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
"""查询告警通知状态。"""
use_cases = create_use_cases_from_db(db)
input_dto = GetAlertNotificationsInput(alert_id=alert_id)
output = await use_cases.alert_service.get_alert_notifications(input_dto)
return {"success": True, "data": output.model_dump()}