tv-recommender-mcp-server
Version:
MCP server for TV show recommendations
156 lines (155 loc) • 6.28 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
const actorInfoTool_1 = require("../tools/actorInfoTool");
const tmdbClient_1 = require("../services/tmdbClient");
// 模拟tmdbClient
jest.mock('../services/tmdbClient', () => ({
tmdbClient: {
searchPerson: jest.fn(),
getPersonDetails: jest.fn(),
getPersonTvCredits: jest.fn()
}
}));
describe('actorInfoTool', () => {
// 测试前重置所有模拟
beforeEach(() => {
jest.clearAllMocks();
});
it('应该成功获取演员信息和作品列表', async () => {
// 模拟搜索演员结果
const mockSearchResults = {
results: [
{ id: 123, name: '汤姆·汉克斯' }
]
};
// 模拟演员详细信息
const mockPersonDetails = {
id: 123,
name: '汤姆·汉克斯',
biography: '著名演员...',
profile_path: '/path/to/profile.jpg',
popularity: 95.6,
birthday: '1956-07-09',
place_of_birth: '美国加利福尼亚州',
homepage: null,
also_known_as: ['Tom Hanks']
};
// 模拟演员作品列表
const mockPersonCredits = {
cast: [
{
id: 1,
name: '拯救大兵瑞恩',
character: '米勒上尉',
poster_path: '/path/to/poster1.jpg',
vote_average: 8.6,
first_air_date: '1998-07-24'
},
{
id: 2,
name: '阿甘正传',
character: '阿甘',
poster_path: '/path/to/poster2.jpg',
vote_average: 8.8,
first_air_date: '1994-06-23'
}
]
};
// 设置模拟函数的返回值
tmdbClient_1.tmdbClient.searchPerson.mockResolvedValue(mockSearchResults);
tmdbClient_1.tmdbClient.getPersonDetails.mockResolvedValue(mockPersonDetails);
tmdbClient_1.tmdbClient.getPersonTvCredits.mockResolvedValue(mockPersonCredits);
// 执行函数
const result = await (0, actorInfoTool_1.getActorDetailsAndCredits)({ actor_name: '汤姆·汉克斯' });
// 验证模拟函数是否被正确调用
expect(tmdbClient_1.tmdbClient.searchPerson).toHaveBeenCalledWith('汤姆·汉克斯');
expect(tmdbClient_1.tmdbClient.getPersonDetails).toHaveBeenCalledWith(123);
expect(tmdbClient_1.tmdbClient.getPersonTvCredits).toHaveBeenCalledWith(123);
// 验证结果是否正确
expect(result).toEqual({
actor: {
id: 123,
name: '汤姆·汉克斯',
biography: '著名演员...',
profile_path: '/path/to/profile.jpg',
popularity: 95.6,
birthday: '1956-07-09',
place_of_birth: '美国加利福尼亚州',
homepage: null,
also_known_as: ['Tom Hanks']
},
credits: [
// 按评分降序排序，所以阿甘正传应该排在前面
{
show_id: 2,
show_title: '阿甘正传',
character: '阿甘',
poster_path: '/path/to/poster2.jpg',
vote_average: 8.8,
first_air_date: '1994-06-23'
},
{
show_id: 1,
show_title: '拯救大兵瑞恩',
character: '米勒上尉',
poster_path: '/path/to/poster1.jpg',
vote_average: 8.6,
first_air_date: '1998-07-24'
}
]
});
});
it('应该处理搜索不到演员的情况', async () => {
// 模拟空搜索结果
tmdbClient_1.tmdbClient.searchPerson.mockResolvedValue({ results: [] });
// 执行并确认抛出正确的错误
await expect((0, actorInfoTool_1.getActorDetailsAndCredits)({ actor_name: '不存在的演员' }))
.rejects
.toThrow('未找到名为"不存在的演员"的演员');
});
it('应该处理API错误情况', async () => {
// 模拟API错误
tmdbClient_1.tmdbClient.searchPerson.mockRejectedValue(new Error('网络错误'));
// 执行并确认抛出正确的错误
await expect((0, actorInfoTool_1.getActorDetailsAndCredits)({ actor_name: '汤姆·汉克斯' }))
.rejects
.toThrow('获取演员"汤姆·汉克斯"的信息失败');
});
it('应该处理无作品的演员', async () => {
// 模拟搜索结果
const mockSearchResults = {
results: [{ id: 456, name: '新演员' }]
};
// 模拟演员详情
const mockPersonDetails = {
id: 456,
name: '新演员',
biography: '',
profile_path: null,
popularity: 10
};
// 模拟空作品列表
const mockEmptyCredits = { cast: [] };
// 设置模拟函数返回值
tmdbClient_1.tmdbClient.searchPerson.mockResolvedValue(mockSearchResults);
tmdbClient_1.tmdbClient.getPersonDetails.mockResolvedValue(mockPersonDetails);
tmdbClient_1.tmdbClient.getPersonTvCredits.mockResolvedValue(mockEmptyCredits);
// 执行函数
const result = await (0, actorInfoTool_1.getActorDetailsAndCredits)({ actor_name: '新演员' });
// 验证模拟函数被正确调用
expect(tmdbClient_1.tmdbClient.searchPerson).toHaveBeenCalledWith('新演员');
expect(tmdbClient_1.tmdbClient.getPersonDetails).toHaveBeenCalledWith(456);
expect(tmdbClient_1.tmdbClient.getPersonTvCredits).toHaveBeenCalledWith(456);
// 验证结果
expect(result).toEqual({
actor: {
id: 456,
name: '新演员',
biography: '暂无简介',
profile_path: null,
popularity: 10
},
credits: []
});
});
});