opsx
c216bdfdd4
- 浮球只在 /logs 渲染(产品定位:辅助分析正在查看的查询结果,其它页面不打扰) - /logs 查询成功后写入 AI 上下文:LogQL、时间范围、结果条数、error 行数、 最新 20 条样本(去 CRI 包装);对话请求自动携带 - 后端 /ai/chat 接收 context:截断 6000 字 + RedactTextOnly 统一脱敏后并入 system (ECHO 假模型实测注入完整);空态文案改为查询导向
98 lines
2.7 KiB
TypeScript
98 lines
2.7 KiB
TypeScript
import { http } from '@/api/http'
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export interface AIConfig {
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enabled: boolean
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provider: string
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baseUrl: string
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/** 后端永远返回掩码（sk-***abcd），保存时留空表示不修改 */
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apiKey: string
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model: string
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temperature: number
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maxTokens: number
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timeoutSec: number
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dailyTokenCap: number
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maxScanBytes: number
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redactExtra: string[]
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}
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export interface AIConfigResponse {
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config: AIConfig
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tokenUsedToday: number
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}
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export interface AIFinding {
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title: string
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evidence: string
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severity: 'high' | 'medium' | 'low' | string
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}
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export interface AIAnalysisResult {
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summary: string
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findings: AIFinding[]
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actions: string[]
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unknowns: string[]
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parseError?: string
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}
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export interface AISignalBundle {
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sourceId: number
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sourceName: string
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selector: string
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from: string
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to: string
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rangeMinutes: number
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totalBytes: number
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totalEntries: number
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entriesExact: boolean
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apps: Array<{ app: string; namespace: string; entries: number; bytes: number; share: string }>
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alerts: Array<{ ruleName: string; status: string; count: number; createdAt: string }>
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baseline?: { previousBytes: number; currentBytes: number; deltaPercent: number; comparisonNote: string }
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snapshotHours: number
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warnings: string[]
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}
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export interface AIRun {
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id: number
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userId: number
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username: string
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sourceId: number
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sourceName: string
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rangeMinutes: number
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model: string
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question: string
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status: string
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error: string
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conclusion: string
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promptPayload: string
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promptTokens: number
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completionTokens: number
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scanBytes: number
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durationMs: number
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createdAt: string
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}
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export interface AIAnalyzeResponse {
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result: AIAnalysisResult
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signals: AISignalBundle
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prompt: string
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run: AIRun
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warnings: string[]
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}
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export const aiApi = {
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getConfig: () => http.get<AIConfigResponse>('/ai/config'),
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saveConfig: (data: Partial<AIConfig>) => http.put<{ config: AIConfig }>('/ai/config', data),
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testConfig: (data: { baseUrl?: string; model?: string; apiKey?: string }) =>
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http.post<{ model: string; latencyMs: number; tokensUsed: number; replyLength: number }>('/ai/config/test', data, { timeout: 45000 }),
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analyze: (data: { sourceId: number; start: number; end: number; question?: string; app?: string }) =>
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http.post<AIAnalyzeResponse>('/ai/analyze', data, { timeout: 180000 }),
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runs: (page: number, pageSize: number) =>
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http.get<{ list: AIRun[]; total: number; page: number; pageSize: number }>(
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`/ai/runs?page=${page}&pageSize=${pageSize}`,
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),
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run: (id: number) => http.get<AIRun>(`/ai/runs/${id}`),
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chat: (data: { sourceId?: number; history: Array<{ role: 'user' | 'assistant'; content: string }>; page?: string; rangeMinutes?: number; context?: string }) =>
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http.post<{ reply: string }>('/ai/chat', data),
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}
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