161 lines
5.9 KiB
TypeScript
161 lines
5.9 KiB
TypeScript
import type { AbstractConstructor, TwitterClientBase } from './twitter-client-base.js';
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import { TWITTER_API_BASE } from './twitter-client-constants.js';
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import { buildSearchFeatures } from './twitter-client-features.js';
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import type { SearchResult, TweetData } from './twitter-client-types.js';
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import { extractCursorFromInstructions, parseTweetsFromInstructions } from './twitter-client-utils.js';
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export function withSearch<TBase extends AbstractConstructor<TwitterClientBase>>(Base: TBase) {
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return class extends Base {
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/**
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* Search for tweets matching a query
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*/
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async search(query: string, count = 20): Promise<SearchResult> {
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const features = buildSearchFeatures();
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const pageSize = 20;
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const seen = new Set<string>();
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const tweets: TweetData[] = [];
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let cursor: string | undefined;
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const fetchPage = async (pageCount: number, pageCursor?: string) => {
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let lastError: string | undefined;
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let had404 = false;
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const queryIds = await this.getSearchTimelineQueryIds();
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for (const queryId of queryIds) {
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const variables = {
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rawQuery: query,
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count: pageCount,
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querySource: 'typed_query',
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product: 'Latest',
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...(pageCursor ? { cursor: pageCursor } : {}),
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};
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const params = new URLSearchParams({
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variables: JSON.stringify(variables),
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});
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const url = `${TWITTER_API_BASE}/${queryId}/SearchTimeline?${params.toString()}`;
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try {
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const response = await this.fetchWithTimeout(url, {
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method: 'POST',
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headers: this.getHeaders(),
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body: JSON.stringify({ features, queryId }),
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});
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if (response.status === 404) {
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had404 = true;
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lastError = `HTTP ${response.status}`;
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continue;
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}
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if (!response.ok) {
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const text = await response.text();
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return { success: false as const, error: `HTTP ${response.status}: ${text.slice(0, 200)}`, had404 };
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}
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const data = (await response.json()) as {
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data?: {
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search_by_raw_query?: {
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search_timeline?: {
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timeline?: {
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instructions?: Array<{
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entries?: Array<{
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content?: {
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itemContent?: {
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tweet_results?: {
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result?: {
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rest_id?: string;
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legacy?: {
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full_text?: string;
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created_at?: string;
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reply_count?: number;
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retweet_count?: number;
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favorite_count?: number;
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in_reply_to_status_id_str?: string;
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};
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core?: {
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user_results?: {
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result?: {
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legacy?: {
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screen_name?: string;
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name?: string;
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};
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};
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};
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};
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};
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};
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};
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};
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}>;
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}>;
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};
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};
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};
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};
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errors?: Array<{ message: string }>;
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};
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if (data.errors && data.errors.length > 0) {
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return { success: false as const, error: data.errors.map((e) => e.message).join(', '), had404 };
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}
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const instructions = data.data?.search_by_raw_query?.search_timeline?.timeline?.instructions;
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const pageTweets = parseTweetsFromInstructions(instructions, this.quoteDepth);
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const nextCursor = extractCursorFromInstructions(instructions);
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return { success: true as const, tweets: pageTweets, cursor: nextCursor, had404 };
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} catch (error) {
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lastError = error instanceof Error ? error.message : String(error);
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}
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}
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return { success: false as const, error: lastError ?? 'Unknown error fetching search results', had404 };
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};
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const fetchWithRefresh = async (pageCount: number, pageCursor?: string) => {
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const firstAttempt = await fetchPage(pageCount, pageCursor);
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if (firstAttempt.success) {
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return firstAttempt;
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}
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if (firstAttempt.had404) {
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await this.refreshQueryIds();
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const secondAttempt = await fetchPage(pageCount, pageCursor);
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if (secondAttempt.success) {
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return secondAttempt;
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}
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return { success: false as const, error: secondAttempt.error };
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}
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return { success: false as const, error: firstAttempt.error };
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};
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while (tweets.length < count) {
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const pageCount = Math.min(pageSize, count - tweets.length);
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const page = await fetchWithRefresh(pageCount, cursor);
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if (!page.success) {
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return { success: false, error: page.error };
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}
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for (const tweet of page.tweets) {
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if (seen.has(tweet.id)) {
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continue;
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}
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seen.add(tweet.id);
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tweets.push(tweet);
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if (tweets.length >= count) {
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break;
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}
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}
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if (!page.cursor || page.cursor === cursor || page.tweets.length === 0) {
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break;
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}
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cursor = page.cursor;
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}
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return { success: true, tweets };
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}
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};
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}
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