Files
bird/tests/twitter-client-coverage.news.test.ts
yuta 1f6e228272
CI / test (pull_request) Has been cancelled
Use twitter safe relay
2026-06-24 03:39:34 +09:00

393 lines
12 KiB
TypeScript

import { afterEach, describe, expect, it, vi } from 'vitest';
import { TwitterClient } from '../src/lib/twitter-client.js';
const testRelayBaseUrl = 'https://relay.example';
type ResponseLike = {
ok: boolean;
status: number;
json: () => Promise<unknown>;
text: () => Promise<string>;
};
const makeResponse = (overrides: Partial<ResponseLike> = {}): ResponseLike => ({
ok: true,
status: 200,
json: async (): Promise<unknown> => ({}),
text: async (): Promise<string> => '',
...overrides,
});
// Helper to create GenericTimelineById response structure
const makeTimelineResponse = (items: unknown[]) => ({
data: {
timeline: {
timeline: {
instructions: [
{
type: 'TimelineAddEntries',
entries: items.map((item, index) => ({
entryId: `test-entry-${index}`,
content: {
items: [
{
item: {
itemContent: item,
},
},
],
},
})),
},
],
},
},
},
});
const makeTimelineResponseWithInstruction = (type: string, entries: unknown[]) => ({
data: {
timeline: {
timeline: {
instructions: [
{
type,
entries,
},
],
},
},
},
});
describe('TwitterClient news API coverage', () => {
const originalFetch = global.fetch;
afterEach(() => {
global.fetch = originalFetch;
vi.restoreAllMocks();
});
describe('getNews', () => {
it('returns news items from timeline tabs', async () => {
// Mock multiple tab requests (forYou, news, sports, entertainment)
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'AI Breakthrough in Machine Learning',
social_context: {
text: 'AI · 2h ago · 15.5K posts',
},
trend_url: {
url: 'https://x.com/hashtag/AI',
},
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(1);
expect(result.success).toBe(true);
expect(result.items).toBeDefined();
expect(result.items?.length).toBe(1);
expect(result.items?.[0].headline).toBe('AI Breakthrough in Machine Learning');
expect(result.items?.[0].category).toBe('AI · AI');
expect(result.items?.[0].timeAgo).toBe('2h ago');
expect(result.items?.[0].postCount).toBe(15500);
expect(result.items?.[0].url).toBe('https://x.com/hashtag/AI');
});
it('includes raw item content when includeRaw is true', async () => {
const itemContent = {
is_ai_trend: true,
name: 'AI News',
social_context: { text: 'AI · 1h ago · 1.2K posts' },
};
const mockFetch = vi
.fn()
.mockResolvedValueOnce(makeResponse({ json: async () => makeTimelineResponse([itemContent]) }))
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(1, { includeRaw: true });
expect(result.success).toBe(true);
expect(result.items?.[0]._raw).toEqual(itemContent);
});
it('filters to AI-only items when aiOnly is true', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'AI News',
},
{
is_ai_trend: false,
name: 'Regular News',
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(10, { aiOnly: true });
expect(result.success).toBe(true);
expect(result.items?.length).toBe(1);
expect(result.items?.[0].headline).toBe('AI News');
});
it('fetches only selected tabs', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'News 1',
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(1, { tabs: ['news'] });
expect(result.success).toBe(true);
expect(mockFetch).toHaveBeenCalledTimes(1);
});
it('returns error for non-ok responses', async () => {
// Mock all 4 default tabs (forYou, news, sports, entertainment) to return HTTP 500
const mockFetch = vi
.fn()
.mockResolvedValue(makeResponse({ ok: false, status: 500, text: async () => 'Server error' }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(10);
expect(result.success).toBe(false);
expect(result.error).toContain('No news items found');
});
it('returns error when API returns errors', async () => {
// Mock all 4 default tabs to return API errors
const mockFetch = vi.fn().mockResolvedValue(
makeResponse({
json: async () => ({
errors: [{ message: 'Rate limited' }, { message: 'Too many requests' }],
}),
}),
);
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(10);
expect(result.success).toBe(false);
expect(result.error).toContain('No news items found');
});
it('returns error when no news items found', async () => {
const mockFetch = vi.fn().mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(10);
expect(result.success).toBe(false);
expect(result.error).toContain('No news items found');
});
it('deduplicates headlines across tabs', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'Duplicate Headline',
},
]),
}),
)
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'Duplicate Headline',
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(10);
expect(result.success).toBe(true);
expect(result.items?.length).toBe(1);
expect(result.items?.[0].headline).toBe('Duplicate Headline');
});
it('respects count parameter', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'News 1',
},
{
is_ai_trend: true,
name: 'News 2',
},
{
is_ai_trend: true,
name: 'News 3',
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(2);
expect(result.success).toBe(true);
expect(result.items?.length).toBe(2);
});
it('parses entries from non-TimelineAddEntries instructions', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponseWithInstruction('TimelineReplaceEntry', [
{
entryId: 'replace-entry-1',
content: {
itemContent: {
is_ai_trend: true,
name: 'Replacement headline',
},
},
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(1);
expect(result.success).toBe(true);
expect(result.items?.[0].headline).toBe('Replacement headline');
});
it('assigns unique ids for module entries', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponseWithInstruction('TimelineAddEntries', [
{
entryId: 'module-entry',
content: {
items: [
{
item: { itemContent: { is_ai_trend: true, name: 'Headline A' } },
},
{
item: { itemContent: { is_ai_trend: true, name: 'Headline B' } },
},
],
},
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(2);
expect(result.success).toBe(true);
const ids = result.items?.map((item) => item.id) ?? [];
expect(new Set(ids).size).toBe(ids.length);
});
it('uses trend urls as ids when available', async () => {
const mockFetch = vi
.fn()
.mockResolvedValueOnce(
makeResponse({
json: async () =>
makeTimelineResponse([
{
is_ai_trend: true,
name: 'Headline A',
trend_url: { url: 'https://x.com/hashtag/A' },
},
]),
}),
)
.mockResolvedValue(makeResponse({ json: async () => makeTimelineResponse([]) }));
global.fetch = mockFetch as unknown as typeof fetch;
const client = new TwitterClient({ relayBaseUrl: testRelayBaseUrl });
const result = await client.getNews(1);
expect(result.success).toBe(true);
expect(result.items?.[0].id).toBe('https://x.com/hashtag/A');
});
});
});