712 lines
21 KiB
TypeScript
712 lines
21 KiB
TypeScript
import "server-only";
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import { and, desc, eq, inArray, sql } from "drizzle-orm";
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import { db } from "@/lib/db";
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import {
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aiModel,
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aiModelHealthEvent,
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type AiModel,
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} from "@/lib/db/schema";
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export type AiModelHealthEventType =
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| "success"
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| "timeout"
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| "quota"
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| "unavailable"
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| "invalid_model"
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| "download_error"
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| "error";
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export type AiModelHealthSeverity = "info" | "warning" | "error" | "critical";
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const AUTO_DISABLE_FAILURE_THRESHOLD = 3;
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const AUTO_DISABLE_COOLDOWN_MS = 2 * 60 * 60 * 1000;
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const OBSERVATION_RECOVERY_SUCCESS_THRESHOLD = 3;
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const RECENT_EVENT_LIMIT = 80;
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const RECOVERABLE_FAILURE_EVENT_TYPES = new Set<AiModelHealthEventType>([
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"timeout",
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"quota",
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"unavailable",
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"invalid_model",
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"download_error",
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"error",
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]);
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function normalizeText(value: unknown) {
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return String(value || "").trim();
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}
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function getErrorMessage(error: unknown) {
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if (error instanceof Error) {
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const parts = [normalizeText(error.message)];
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const cause = (error as Error & { cause?: unknown }).cause;
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if (cause instanceof Error) {
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parts.push(normalizeText(cause.message));
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} else if (typeof cause === "string") {
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parts.push(normalizeText(cause));
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}
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return parts.filter(Boolean).join(": ");
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}
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return normalizeText(error);
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}
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function isExplicitUserCancellation(normalized: string) {
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return (
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normalized.includes("user abort") ||
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normalized.includes("user aborted") ||
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normalized.includes("user cancelled") ||
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normalized.includes("user canceled") ||
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normalized.includes("client aborted") ||
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normalized.includes("request cancelled by user") ||
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normalized.includes("request canceled by user")
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);
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}
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function isOperationalAbort(error: unknown, normalized: string) {
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if (isExplicitUserCancellation(normalized)) return false;
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if (error instanceof Error && error.name === "AbortError") return true;
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return (
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normalized.includes("this operation was aborted") ||
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normalized.includes("the operation was aborted") ||
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normalized.includes("operation was aborted") ||
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normalized.includes("request aborted")
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);
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}
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export function classifyAiModelHealthFailure(error: unknown): {
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eventType: AiModelHealthEventType;
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severity: AiModelHealthSeverity;
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counted: boolean;
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reason: string;
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} {
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const message = getErrorMessage(error);
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const normalized = message.toLowerCase();
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if (!message) {
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return {
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eventType: "error",
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severity: "error",
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counted: true,
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reason: "unknown_error",
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};
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}
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if (isExplicitUserCancellation(normalized)) {
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return {
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eventType: "error",
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severity: "warning",
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counted: false,
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reason: "user_cancelled",
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};
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}
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if (
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normalized.includes("生成结果未通过替换质检") ||
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normalized.includes("output_moderation") ||
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normalized.includes("quality check") ||
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normalized.includes("review result") ||
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normalized.includes("content policy") ||
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normalized.includes("safety") ||
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normalized.includes("generate image failed") ||
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normalized.includes("could not generate images with the given prompts and images")
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) {
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return {
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eventType: "error",
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severity: "warning",
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counted: false,
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reason: "non_provider_failure",
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};
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}
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if (
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normalized.includes("fetch failed") ||
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normalized.includes("econnreset") ||
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normalized.includes("econnrefused") ||
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normalized.includes("socket hang up") ||
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normalized.includes("networkerror") ||
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normalized.includes("network error")
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) {
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return {
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eventType: "unavailable",
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severity: "warning",
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counted: false,
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reason: "transport_failure_no_provider_response",
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};
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}
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if (
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normalized.includes("model not exist") ||
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normalized.includes("model_not_found") ||
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normalized.includes("model not found") ||
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normalized.includes("unknown model") ||
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normalized.includes("model name") && normalized.includes("not supported")
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) {
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return {
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eventType: "invalid_model",
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severity: "critical",
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counted: true,
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reason: "invalid_model",
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};
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}
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if (
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normalized.includes("insufficient balance") ||
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normalized.includes("insufficient credit") ||
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normalized.includes("credits insufficient") ||
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normalized.includes("credit insufficient") ||
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normalized.includes("not enough credit") ||
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normalized.includes("quota") ||
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normalized.includes("余额") ||
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normalized.includes("额度") ||
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normalized.includes("预扣费额度") ||
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normalized.includes("exceeded_current_quota") ||
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normalized.includes("pre_consume_token_quota_failed") ||
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normalized.includes("token quota is not enough")
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) {
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return {
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eventType: "quota",
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severity: "critical",
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counted: true,
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reason: "quota_or_balance",
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};
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}
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if (
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isOperationalAbort(error, normalized) ||
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normalized.includes("timeout") ||
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normalized.includes("超时") ||
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normalized.includes("524") ||
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normalized.includes("terminated") ||
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normalized.includes("timed out") ||
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normalized.includes("body timeout") ||
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normalized.includes("headers timeout")
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) {
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return {
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eventType: "timeout",
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severity: "warning",
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counted: false,
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reason: "timeout_without_provider_response",
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};
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}
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if (
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normalized.includes("503") ||
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normalized.includes("502") ||
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normalized.includes("504") ||
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normalized.includes("model maintenance") ||
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normalized.includes("maintenance") ||
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normalized.includes("维护中") ||
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normalized.includes("维护") ||
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normalized.includes("修复中") ||
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normalized.includes("系统繁忙") ||
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normalized.includes("no available channel") ||
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normalized.includes("no supported channel") ||
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normalized.includes("service unavailable") ||
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normalized.includes("temporarily unavailable")
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) {
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return {
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eventType: "unavailable",
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severity: "critical",
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counted: true,
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reason: "provider_unavailable",
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};
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}
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if (
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normalized.includes("未返回任务 id") ||
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normalized.includes("未返回任务id") ||
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normalized.includes("no task id") ||
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normalized.includes("missing task id") ||
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normalized.includes("provider error") ||
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normalized.includes("provider_error") ||
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normalized.includes("provider request failed") ||
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normalized.includes("provider task failed") ||
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normalized.includes("upstream error") ||
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normalized.includes("upstream_error") ||
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normalized.includes("upstream request failed") ||
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normalized.includes("上游服务错误") ||
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normalized.includes("上游接口错误")
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) {
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return {
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eventType: "unavailable",
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severity: "critical",
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counted: true,
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reason: "provider_execution_failed",
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};
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}
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if (
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normalized.includes("download") ||
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normalized.includes("no image url") ||
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normalized.includes("no image") ||
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normalized.includes("empty result") ||
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normalized.includes("empty response") ||
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normalized.includes("空结果") ||
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normalized.includes("返回结果为空") ||
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normalized.includes("响应为空") ||
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normalized.includes("未返回可用图片") ||
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normalized.includes("未包含可用图片") ||
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normalized.includes("未解析到图片") ||
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normalized.includes("未找到图片数据") ||
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normalized.includes("图片生成失败")
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) {
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return {
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eventType: "download_error",
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severity: "error",
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counted: true,
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reason: "result_download_or_parse_failed",
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};
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}
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return {
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eventType: "error",
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severity: "error",
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counted: true,
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reason: "provider_error",
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};
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}
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export function shouldFailoverAiModelError(error: unknown) {
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const classification = classifyAiModelHealthFailure(error);
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const normalized = getErrorMessage(error).toLowerCase();
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const imageProviderTaskFailed =
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normalized.includes("image generation failed") ||
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normalized.includes("snapgen 任务执行失败") ||
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normalized.includes("snapgen 创建任务成功") ||
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normalized.includes("snapgen 任务已完成但未返回图片地址") ||
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normalized.includes("snapgen 未返回可用图片");
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const providerExecutionFailed =
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classification.reason === "provider_execution_failed" ||
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normalized.includes("未返回任务 id") ||
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normalized.includes("未返回任务id") ||
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normalized.includes("no task id") ||
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normalized.includes("missing task id");
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if (classification.reason === "user_cancelled" || classification.reason === "non_provider_failure") {
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return false;
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}
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if (imageProviderTaskFailed || providerExecutionFailed) {
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return true;
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}
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if (
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classification.eventType === "timeout" ||
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classification.reason === "transport_failure_no_provider_response"
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) {
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return true;
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}
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if (classification.eventType === "download_error") {
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return (
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normalized.includes("no image") ||
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normalized.includes("empty result") ||
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normalized.includes("empty response") ||
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normalized.includes("空结果") ||
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normalized.includes("返回结果为空") ||
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normalized.includes("响应为空") ||
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normalized.includes("未返回可用图片") ||
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normalized.includes("未包含可用图片") ||
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normalized.includes("未解析到图片") ||
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normalized.includes("未找到图片数据") ||
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normalized.includes("图片生成失败")
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);
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}
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if (!classification.counted) return false;
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if (classification.eventType === "invalid_model" || classification.eventType === "quota") {
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return true;
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}
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if (classification.eventType === "unavailable") {
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return (
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/(?:^|\D)(?:429|500|502|503|504)(?:\D|$)/.test(normalized) ||
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normalized.includes("no available channel") ||
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normalized.includes("no supported channel") ||
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normalized.includes("service unavailable") ||
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normalized.includes("temporarily unavailable") ||
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normalized.includes("model maintenance") ||
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normalized.includes("maintenance") ||
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normalized.includes("维护中") ||
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normalized.includes("维护") ||
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normalized.includes("修复中") ||
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normalized.includes("系统繁忙") ||
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normalized.includes("无可用渠道")
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);
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}
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return /(?:^|\D)[45]\d\d(?:\D|$)/.test(normalized);
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}
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function buildMetadata(value?: Record<string, unknown>) {
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if (!value || typeof value !== "object") return null;
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try {
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return JSON.parse(JSON.stringify(value));
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} catch {
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return null;
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}
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}
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function isObservationPoolModel(
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model:
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| Pick<
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AiModel,
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| "healthStatus"
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| "healthObservationStartedAt"
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>
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| null
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| undefined
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) {
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return (
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model?.healthStatus === "degraded" &&
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Boolean(model.healthObservationStartedAt)
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);
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}
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function getAutoDisableCooldownCutoff(now = new Date()) {
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return new Date(now.getTime() - AUTO_DISABLE_COOLDOWN_MS);
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}
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export async function reviveAiModelsFromCooldown(params?: { modelId?: string }) {
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const now = new Date();
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const cooldownCutoff = getAutoDisableCooldownCutoff(now);
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const conditions = [
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eq(aiModel.isEnabled, false),
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eq(aiModel.excludeFromFailover, false),
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eq(aiModel.excludeFromHealthBan, false),
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];
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if (params?.modelId) {
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conditions.push(eq(aiModel.id, normalizeText(params.modelId)));
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}
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const candidates = await db
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.select({
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id: aiModel.id,
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modelId: aiModel.modelId,
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displayName: aiModel.displayName,
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healthStatus: aiModel.healthStatus,
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healthConsecutiveFailures: aiModel.healthConsecutiveFailures,
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healthLastEventType: aiModel.healthLastEventType,
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healthAutoDisabledAt: aiModel.healthAutoDisabledAt,
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healthLastFailureAt: aiModel.healthLastFailureAt,
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healthUpdatedAt: aiModel.healthUpdatedAt,
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})
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.from(aiModel)
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.where(and(...conditions));
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const dueModels = candidates.filter((model) => {
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const cooldownStartedAt =
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model.healthAutoDisabledAt ||
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model.healthLastFailureAt ||
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model.healthUpdatedAt;
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if (!cooldownStartedAt || cooldownStartedAt > cooldownCutoff) {
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return false;
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}
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if (model.healthStatus === "auto_disabled") {
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return true;
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}
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return (
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model.healthStatus === "degraded" &&
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Boolean(model.healthLastFailureAt) &&
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(model.healthConsecutiveFailures || 0) > 0 &&
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RECOVERABLE_FAILURE_EVENT_TYPES.has(model.healthLastEventType as AiModelHealthEventType)
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);
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});
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if (dueModels.length === 0) {
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return [];
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}
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const revived = await db
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.update(aiModel)
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.set({
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isEnabled: true,
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healthStatus: "degraded",
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healthConsecutiveFailures: 0,
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healthRecoverySuccessStreak: 0,
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healthObservationStartedAt: now,
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healthUpdatedAt: now,
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updatedAt: now,
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})
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.where(
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inArray(
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aiModel.id,
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dueModels.map((item) => item.id)
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)
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)
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.returning();
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if (revived.length > 0) {
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console.info("[AI Model Health] Revived cooled-down models into observation pool:", {
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count: revived.length,
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models: revived.map((item) => ({
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id: item.id,
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modelId: item.modelId,
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displayName: item.displayName,
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previousStatus: item.healthStatus,
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})),
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});
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}
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return revived;
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}
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export async function recordAiModelHealthSuccess(params: {
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model?:
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| Pick<
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AiModel,
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| "id"
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| "healthStatus"
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| "healthRecoverySuccessStreak"
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| "healthObservationStartedAt"
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>
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| null;
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}) {
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const modelId = normalizeText(params.model?.id);
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if (!modelId) return;
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const [existing] = await db
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.select({
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id: aiModel.id,
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healthStatus: aiModel.healthStatus,
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healthRecoverySuccessStreak: aiModel.healthRecoverySuccessStreak,
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healthObservationStartedAt: aiModel.healthObservationStartedAt,
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})
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.from(aiModel)
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.where(eq(aiModel.id, modelId))
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.limit(1);
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if (!existing) return;
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const now = new Date();
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const isObservation = isObservationPoolModel(existing);
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const nextRecoverySuccessStreak = isObservation
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? (existing.healthRecoverySuccessStreak || 0) + 1
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: 0;
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const recoveredToHealthy =
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isObservation &&
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nextRecoverySuccessStreak >= OBSERVATION_RECOVERY_SUCCESS_THRESHOLD;
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const updateData: Partial<AiModel> = {
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healthStatus:
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existing.healthStatus === "auto_disabled"
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? "auto_disabled"
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: recoveredToHealthy
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? "healthy"
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: isObservation
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? "degraded"
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: "healthy",
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healthConsecutiveFailures: 0,
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healthLastEventType: "success",
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healthLastError: null,
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healthLastSuccessAt: now,
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healthRecoverySuccessStreak: recoveredToHealthy
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? 0
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: isObservation
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? nextRecoverySuccessStreak
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: 0,
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healthObservationStartedAt: recoveredToHealthy
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? null
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: isObservation
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? existing.healthObservationStartedAt
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: null,
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healthUpdatedAt: now,
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updatedAt: now,
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};
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if (recoveredToHealthy) {
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updateData.healthAutoDisabledAt = null;
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updateData.healthAutoDisabledReason = null;
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}
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await db
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.update(aiModel)
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.set(updateData)
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.where(eq(aiModel.id, modelId));
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}
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export async function recordAiModelHealthFailure(params: {
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model?: (Partial<AiModel> & Pick<AiModel, "id">) | null;
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provider?: {
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id?: string | null;
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name?: string | null;
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type?: string | null;
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} | null;
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error: unknown;
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context?: string;
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elapsedMs?: number;
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requestId?: string;
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metadata?: Record<string, unknown>;
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}) {
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const modelId = normalizeText(params.model?.id);
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if (!modelId) return;
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const classification = classifyAiModelHealthFailure(params.error);
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const errorMessage = getErrorMessage(params.error).slice(0, 1800);
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const now = new Date();
|
|
|
|
const [existing] = await db
|
|
.select({
|
|
id: aiModel.id,
|
|
modelId: aiModel.modelId,
|
|
displayName: aiModel.displayName,
|
|
isEnabled: aiModel.isEnabled,
|
|
excludeFromFailover: aiModel.excludeFromFailover,
|
|
excludeFromHealthBan: aiModel.excludeFromHealthBan,
|
|
healthStatus: aiModel.healthStatus,
|
|
healthConsecutiveFailures: aiModel.healthConsecutiveFailures,
|
|
healthRecoverySuccessStreak: aiModel.healthRecoverySuccessStreak,
|
|
healthObservationStartedAt: aiModel.healthObservationStartedAt,
|
|
healthAutoDisabledAt: aiModel.healthAutoDisabledAt,
|
|
})
|
|
.from(aiModel)
|
|
.where(eq(aiModel.id, modelId))
|
|
.limit(1);
|
|
|
|
if (!existing) return;
|
|
|
|
const isObservation = isObservationPoolModel(existing);
|
|
const nextConsecutiveFailures = classification.counted
|
|
? Math.max(
|
|
1,
|
|
(isObservation ? 0 : existing.healthConsecutiveFailures || 0) + 1
|
|
)
|
|
: existing.healthConsecutiveFailures || 0;
|
|
const shouldAutoDisable =
|
|
classification.counted &&
|
|
!existing.excludeFromFailover &&
|
|
!existing.excludeFromHealthBan &&
|
|
((isObservation && existing.isEnabled) ||
|
|
(existing.healthStatus !== "auto_disabled" &&
|
|
nextConsecutiveFailures >= AUTO_DISABLE_FAILURE_THRESHOLD));
|
|
const nextStatus = shouldAutoDisable
|
|
? "auto_disabled"
|
|
: classification.counted
|
|
? "degraded"
|
|
: existing.healthStatus;
|
|
const autoDisabledReason = shouldAutoDisable
|
|
? `${classification.reason}: ${errorMessage}`.slice(0, 1800)
|
|
: undefined;
|
|
|
|
await db
|
|
.insert(aiModelHealthEvent)
|
|
.values({
|
|
modelId,
|
|
providerId: normalizeText(params.provider?.id) || null,
|
|
modelRuntimeId: normalizeText(params.model?.modelId) || null,
|
|
modelDisplayName: normalizeText(params.model?.displayName) || null,
|
|
providerType: normalizeText(params.provider?.type) || null,
|
|
providerName: normalizeText(params.provider?.name) || null,
|
|
eventType: classification.eventType,
|
|
severity: classification.severity,
|
|
context: normalizeText(params.context).slice(0, 96) || null,
|
|
counted: classification.counted,
|
|
consecutiveFailures: nextConsecutiveFailures,
|
|
autoDisabled: shouldAutoDisable,
|
|
elapsedMs:
|
|
typeof params.elapsedMs === "number" && Number.isFinite(params.elapsedMs)
|
|
? Math.max(0, Math.round(params.elapsedMs))
|
|
: null,
|
|
requestId: normalizeText(params.requestId).slice(0, 128) || null,
|
|
errorMessage,
|
|
metadata: buildMetadata(params.metadata),
|
|
});
|
|
|
|
const updateData: Partial<AiModel> = {
|
|
isEnabled: shouldAutoDisable ? false : existing.isEnabled,
|
|
healthStatus: nextStatus,
|
|
healthConsecutiveFailures: nextConsecutiveFailures,
|
|
healthLastEventType: classification.eventType,
|
|
healthLastError: errorMessage,
|
|
healthLastFailureAt: now,
|
|
healthRecoverySuccessStreak: shouldAutoDisable
|
|
? 0
|
|
: classification.counted
|
|
? 0
|
|
: existing.healthRecoverySuccessStreak || 0,
|
|
healthObservationStartedAt: shouldAutoDisable
|
|
? null
|
|
: isObservation
|
|
? existing.healthObservationStartedAt
|
|
: null,
|
|
healthUpdatedAt: now,
|
|
updatedAt: now,
|
|
};
|
|
if (shouldAutoDisable) {
|
|
updateData.healthAutoDisabledAt = now;
|
|
updateData.healthAutoDisabledReason = autoDisabledReason || errorMessage;
|
|
} else if (existing.healthStatus !== "auto_disabled" && !isObservation) {
|
|
updateData.healthAutoDisabledReason = null;
|
|
}
|
|
|
|
await db.update(aiModel).set(updateData).where(eq(aiModel.id, modelId));
|
|
|
|
if (shouldAutoDisable) {
|
|
console.error("[AI Model Health] Auto disabled unhealthy model:", {
|
|
modelId,
|
|
runtimeModelId: params.model?.modelId,
|
|
displayName: params.model?.displayName,
|
|
providerType: params.provider?.type,
|
|
consecutiveFailures: nextConsecutiveFailures,
|
|
eventType: classification.eventType,
|
|
error: errorMessage,
|
|
});
|
|
}
|
|
}
|
|
|
|
export async function restoreAiModelHealth(modelId: string) {
|
|
const normalizedModelId = normalizeText(modelId);
|
|
if (!normalizedModelId) return [];
|
|
|
|
return await db
|
|
.update(aiModel)
|
|
.set({
|
|
isEnabled: true,
|
|
healthStatus: "healthy",
|
|
healthConsecutiveFailures: 0,
|
|
healthLastEventType: "success",
|
|
healthLastError: null,
|
|
healthLastFailureAt: null,
|
|
healthAutoDisabledAt: null,
|
|
healthAutoDisabledReason: null,
|
|
healthRecoverySuccessStreak: 0,
|
|
healthObservationStartedAt: null,
|
|
healthUpdatedAt: new Date(),
|
|
updatedAt: new Date(),
|
|
})
|
|
.where(eq(aiModel.id, normalizedModelId))
|
|
.returning();
|
|
}
|
|
|
|
export async function listAiModelHealthEvents(params?: { modelId?: string; limit?: number }) {
|
|
const limit = Math.max(1, Math.min(params?.limit || RECENT_EVENT_LIMIT, 200));
|
|
const modelId = normalizeText(params?.modelId);
|
|
const conditions = modelId ? [eq(aiModelHealthEvent.modelId, modelId)] : [];
|
|
|
|
return await db
|
|
.select()
|
|
.from(aiModelHealthEvent)
|
|
.where(conditions.length ? and(...conditions) : undefined)
|
|
.orderBy(desc(aiModelHealthEvent.createdAt))
|
|
.limit(limit);
|
|
}
|
|
|
|
export async function getAiModelHealthSummary() {
|
|
const rows = await db
|
|
.select({
|
|
modelId: aiModel.id,
|
|
eventCount: sql<number>`count(${aiModelHealthEvent.id})::int`,
|
|
countedEventCount: sql<number>`sum(case when ${aiModelHealthEvent.counted} then 1 else 0 end)::int`,
|
|
lastEventAt: sql<Date | null>`max(${aiModelHealthEvent.createdAt})`,
|
|
})
|
|
.from(aiModel)
|
|
.leftJoin(aiModelHealthEvent, eq(aiModel.id, aiModelHealthEvent.modelId))
|
|
.groupBy(aiModel.id);
|
|
|
|
return rows;
|
|
}
|