198 lines
7.0 KiB
TypeScript
198 lines
7.0 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { auth } from "@/app/(auth)/auth";
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import { ChatSDKError } from "@/lib/errors";
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import {
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createAgentPreset,
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getSystemSetting,
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getVisibleAgentPresets,
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} from "@/lib/db/queries";
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import {
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AGENT_SECONDARY_TYPE_CONFIG_KEY,
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isValidSecondaryTypeForPresetType,
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normalizeAgentSecondaryTypeConfig,
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} from "@/lib/agents/secondary-type-config";
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const listQuerySchema = z.object({
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scope: z.enum(["all", "public", "private"]).default("all"),
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type: z.enum(["image", "video", "text"]).optional(),
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sectionId: z.string().trim().max(64).optional(),
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level1Id: z.string().trim().max(64).optional(),
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level2Id: z.string().trim().max(64).optional(),
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level3Id: z.string().trim().max(64).optional(),
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productCategory: z.string().trim().max(64).optional(),
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audienceTag: z.string().trim().max(64).optional(),
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usageScenario: z.string().trim().max(64).optional(),
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brand: z.string().trim().max(64).optional(),
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keyword: z.string().trim().max(128).optional(),
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sort: z.enum(["latest", "hottest", "most_used"]).default("latest"),
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});
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const slotSchema = z.object({
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title: z.string().trim().max(128).optional(),
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promptTemplate: z.string().trim().min(1).max(8000),
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defaultParams: z.record(z.string(), z.any()).optional(),
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requireUpload: z.boolean().optional(),
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uploadLabel: z.string().trim().max(128).optional(),
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referenceAssetIds: z.array(z.string().uuid()).max(12).optional(),
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});
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const createAgentSchema = z
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.object({
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name: z.string().trim().min(1).max(128),
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type: z.enum(["image", "video", "text"]),
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secondaryType: z.string().trim().max(128).optional(),
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visibility: z.enum(["public", "private"]).default("private"),
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categoryPath: z
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.object({
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sectionId: z.string().trim().max(64).optional(),
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sectionName: z.string().trim().max(64).optional(),
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level1Id: z.string().trim().max(64).optional(),
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level1Name: z.string().trim().max(64).optional(),
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level2Id: z.string().trim().max(64).optional(),
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level2Name: z.string().trim().max(64).optional(),
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level3Id: z.string().trim().max(64).optional(),
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level3Name: z.string().trim().max(64).optional(),
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productCategory: z.string().trim().max(64).optional(),
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audienceTag: z.string().trim().max(64).optional(),
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usageScenario: z.string().trim().max(64).optional(),
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brand: z.string().trim().max(64).optional(),
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})
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.optional(),
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description: z.string().trim().max(2000).optional(),
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defaultModelId: z.string().uuid(),
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defaultParams: z.record(z.string(), z.any()).optional(),
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avatarAssetId: z.string().uuid().optional(),
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slots: z.array(slotSchema).min(1).max(20),
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});
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export async function GET(request: NextRequest) {
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try {
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const session = await auth();
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if (!session?.user?.id) {
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return NextResponse.json({ success: false, error: "未登录" }, { status: 401 });
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}
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const { searchParams } = new URL(request.url);
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const query = listQuerySchema.parse({
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scope: searchParams.get("scope") || "all",
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type: searchParams.get("type") || undefined,
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sectionId: searchParams.get("sectionId") || undefined,
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level1Id: searchParams.get("level1Id") || undefined,
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level2Id: searchParams.get("level2Id") || undefined,
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level3Id: searchParams.get("level3Id") || undefined,
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productCategory: searchParams.get("productCategory") || undefined,
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audienceTag: searchParams.get("audienceTag") || undefined,
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usageScenario: searchParams.get("usageScenario") || undefined,
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brand: searchParams.get("brand") || undefined,
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keyword: searchParams.get("keyword") || undefined,
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sort: searchParams.get("sort") || "latest",
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});
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const presets = await getVisibleAgentPresets({
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userId: session.user.id,
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scope: query.scope,
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type: query.type,
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keyword: query.keyword,
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sort: query.sort,
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});
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const filterByPath = (items: typeof presets) =>
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items.filter((item) => {
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const path = item.categoryPath || {};
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if (query.sectionId && path.sectionId !== query.sectionId) return false;
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if (query.level1Id && path.level1Id !== query.level1Id) return false;
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if (query.level2Id && path.level2Id !== query.level2Id) return false;
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if (query.level3Id && path.level3Id !== query.level3Id) return false;
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if (query.productCategory && path.productCategory !== query.productCategory) return false;
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if (query.audienceTag && path.audienceTag !== query.audienceTag) return false;
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if (query.usageScenario && path.usageScenario !== query.usageScenario) return false;
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if (query.brand && path.brand !== query.brand) return false;
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return true;
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});
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return NextResponse.json({
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success: true,
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data: {
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categories: [],
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public: filterByPath(presets.filter((item) => item.visibility === "public")),
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private: filterByPath(presets.filter((item) => item.visibility === "private")),
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},
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});
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} catch (error) {
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if (error instanceof ChatSDKError) {
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return error.toResponse();
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}
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if (error instanceof z.ZodError) {
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return NextResponse.json(
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{ success: false, error: error.message },
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{ status: 400 }
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);
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}
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return NextResponse.json(
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{ success: false, error: "获取智能体列表失败" },
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{ status: 500 }
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);
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}
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}
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export async function POST(request: NextRequest) {
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try {
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const session = await auth();
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if (!session?.user?.id) {
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return NextResponse.json({ success: false, error: "未登录" }, { status: 401 });
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}
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const body = await request.json();
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const data = createAgentSchema.parse(body);
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const secondaryTypeConfig = normalizeAgentSecondaryTypeConfig(
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(
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await getSystemSetting({ key: AGENT_SECONDARY_TYPE_CONFIG_KEY }).catch(() => undefined)
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)?.value
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);
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if (
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!isValidSecondaryTypeForPresetType({
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presetType: data.type,
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secondaryType: data.secondaryType,
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config: secondaryTypeConfig,
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})
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) {
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return NextResponse.json(
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{ success: false, error: "所选二级类型不在后台配置列表中" },
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{ status: 400 }
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);
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}
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const preset = await createAgentPreset({
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userId: session.user.id,
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name: data.name,
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type: data.type,
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secondaryType: data.secondaryType,
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visibility: data.visibility,
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categoryPath: data.categoryPath,
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description: data.description,
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defaultModelId: data.defaultModelId,
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defaultParams: data.defaultParams,
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avatarAssetId: data.avatarAssetId,
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slots: data.slots,
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});
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return NextResponse.json({ success: true, data: preset });
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} catch (error) {
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if (error instanceof ChatSDKError) {
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return error.toResponse();
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}
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if (error instanceof z.ZodError) {
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return NextResponse.json(
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{ success: false, error: error.message },
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{ status: 400 }
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);
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}
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return NextResponse.json(
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{ success: false, error: "创建智能体失败" },
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{ status: 500 }
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);
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}
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}
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