Files
Alfred/tests/web/hooks/use-models.test.ts
lanyuanxiaoyao 34e915ccf4 refactor: 简化模型管理,移除启用/禁用,优化测试和布局
- 移除供应商/模型启用禁用能力,清理DB schema/migration/API/前端
- 供应商测试改为Base URL连通性+/models探测
- 新增POST /api/models/test模型连接测试
- 新增GET /api/providers/options专用供应商选项接口
- 统一工具栏为ModelsToolbar,参考项目管理布局
- 模型弹窗优化:默认能力、响应式3列标签、并排数值
- 前后端正整数校验、供应商下拉loading/error/empty状态
- 表格列宽统一,操作列/名称列固定宽度
2026-05-29 18:03:33 +08:00

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import { describe, expect, test } from "bun:test";
import {
createModel,
deleteModel,
fetchModel,
fetchModelList,
testModelConnection,
updateModel,
} from "../../../src/web/hooks/use-models";
import { installFetchMock, jsonResponse } from "../test-utils";
const MODEL = {
capabilities: ["text"] as Array<"text">,
contextLength: null,
createdAt: "2024-01-01T00:00:00.000Z",
id: "m1",
maxOutputTokens: null,
modelId: "gpt-4o",
name: "GPT-4o",
providerId: "pv1",
updatedAt: "2024-01-01T00:00:00.000Z",
};
async function expectRejectsWithMessage(action: () => Promise<unknown>, message: string) {
try {
await action();
throw new Error("expected rejection");
} catch (error) {
expect(error).toBeInstanceOf(Error);
expect((error as Error).message).toBe(message);
}
}
function jsonBody(body: BodyInit | null | undefined): unknown {
return JSON.parse(typeof body === "string" ? body : "{}");
}
describe("use-models request helpers", () => {
test("fetchModelList 按协议拼接 query 参数(含 providerId", async () => {
const calls = installFetchMock(() => jsonResponse({ items: [MODEL], page: 1, pageSize: 20, total: 1 }));
const result = await fetchModelList({ keyword: "GPT", page: 1, pageSize: 20, providerId: "pv1" });
expect(result.items).toHaveLength(1);
expect(calls[0]?.method).toBe("GET");
expect(calls[0]?.url).toContain("providerId=pv1");
expect(calls[0]?.url).toContain("keyword=GPT");
});
test("模型 CRUD 使用正确 method、URL 与 body", async () => {
const calls = installFetchMock((call) => {
if (call.method === "DELETE") return new Response(null, { status: 204 });
return jsonResponse(
{ model: MODEL },
{ status: call.method === "POST" && call.url === "/api/models" ? 201 : 200 },
);
});
await createModel({
capabilities: ["text"],
modelId: "gpt-4o",
name: "GPT-4o",
providerId: "pv1",
});
await updateModel("m1", { name: "GPT-4o Mini" });
await deleteModel("m1");
await fetchModel("m1");
expect(calls.map((call) => `${call.method} ${call.url}`)).toEqual([
"POST /api/models",
"PATCH /api/models/m1",
"DELETE /api/models/m1",
"GET /api/models/m1",
]);
expect(jsonBody(calls[0]?.body)).toEqual({
capabilities: ["text"],
modelId: "gpt-4o",
name: "GPT-4o",
providerId: "pv1",
});
expect(jsonBody(calls[1]?.body)).toEqual({ name: "GPT-4o Mini" });
});
test("错误响应优先使用后端 error 字段", async () => {
installFetchMock(() => jsonResponse({ error: "模型名称已存在" }, { status: 409 }));
await expectRejectsWithMessage(
() => createModel({ capabilities: ["text"], modelId: "gpt-4o", name: "重复", providerId: "pv1" }),
"模型名称已存在",
);
});
test("非 JSON 错误响应回退到 HTTP 状态", async () => {
installFetchMock(() => new Response("broken", { status: 500 }));
await expectRejectsWithMessage(() => fetchModel("m-missing"), "HTTP 500");
});
test("testModelConnection 调用正确 URL 和 body", async () => {
const calls = installFetchMock(() => jsonResponse({ modelTestResponse: { message: "模型连接成功", ok: true } }));
const result = await testModelConnection({ modelId: "gpt-4o", providerId: "pv1" });
expect(result.ok).toBe(true);
expect(result.message).toBe("模型连接成功");
expect(calls[0]?.method).toBe("POST");
expect(calls[0]?.url).toBe("/api/models/test");
expect(jsonBody(calls[0]?.body)).toEqual({ modelId: "gpt-4o", providerId: "pv1" });
});
});