Files
jackwener__opencli/clis/amazon/search.ts
jackwener 314bc6f231 refactor: simplify core modules — remove root shims, consolidate error classification, streamline cascade/interceptor, clean up synthesize
1. Remove root-level shim files (errors.ts, logger.ts, registry.ts, types.ts, utils.ts, launcher.ts) — update all ~840 adapter imports to reference src/ directly
2. Consolidate interceptor: reuse shared DISGUISE_FN in tap interceptor instead of reimplementing
3. Unify error classification: single ClassifiedError type with icon/exitCode/hint lookup table, eliminating duplicated pattern matching between resolveExitCode and renderError
4. Simplify cascade probe: replace repetitive switch cases with PROBE_OPTIONS lookup map
12. Clean up synthesize.ts: remove deprecated snake_case field aliases (recommended_args, recommended_columns, recommendedColumnsLegacy) and unnecessary constant aliases

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-05 03:06:47 +08:00

129 lines
4.2 KiB
TypeScript

import { CommandExecutionError } from '../../src/errors.js';
import { cli, Strategy } from '../../src/registry.js';
import type { IPage } from '../../src/types.js';
import {
buildProvenance,
buildSearchUrl,
cleanText,
extractAsin,
normalizeProductUrl,
parsePriceText,
parseRatingValue,
parseReviewCount,
assertUsableState,
gotoAndReadState,
} from './shared.js';
interface SearchPayload {
href?: string;
cards?: Array<{
asin?: string;
title?: string;
href?: string;
price_text?: string | null;
rating_text?: string | null;
review_count_text?: string | null;
sponsored?: boolean;
badge_texts?: string[];
}>;
}
function normalizeSearchCandidate(
candidate: NonNullable<SearchPayload['cards']>[number],
rank: number,
sourceUrl: string,
): Record<string, unknown> {
const productUrl = normalizeProductUrl(candidate.href);
const asin = extractAsin(candidate.asin ?? '') ?? extractAsin(productUrl ?? '') ?? null;
const price = parsePriceText(candidate.price_text);
const ratingText = cleanText(candidate.rating_text) || null;
const reviewCountText = cleanText(candidate.review_count_text) || null;
const provenance = buildProvenance(sourceUrl);
return {
rank,
asin,
title: cleanText(candidate.title) || null,
product_url: productUrl,
...provenance,
price_text: price.price_text,
price_value: price.price_value,
currency: price.currency,
rating_text: ratingText,
rating_value: parseRatingValue(ratingText),
review_count_text: reviewCountText,
review_count: parseReviewCount(reviewCountText),
is_sponsored: candidate.sponsored === true,
badges: (candidate.badge_texts ?? []).map((value) => cleanText(value)).filter(Boolean),
};
}
async function readSearchPayload(page: IPage, query: string): Promise<SearchPayload> {
const url = buildSearchUrl(query);
const state = await gotoAndReadState(page, url, 2500, 'search');
assertUsableState(state, 'search');
return await page.evaluate(`
(() => ({
href: window.location.href,
cards: Array.from(document.querySelectorAll('[data-component-type="s-search-result"]'))
.map((card) => ({
asin: card.getAttribute('data-asin') || '',
title: card.querySelector('h2')?.textContent || '',
href: card.querySelector('a.a-link-normal[href*="/dp/"]')?.href || '',
price_text: card.querySelector('.a-price .a-offscreen')?.textContent || '',
rating_text: card.querySelector('[aria-label*="out of 5 stars"]')?.getAttribute('aria-label') || '',
review_count_text: card.querySelector('a[href*="#customerReviews"]')?.textContent || '',
sponsored: /sponsored/i.test(card.innerText || ''),
badge_texts: Array.from(card.querySelectorAll('.a-badge-text')).map((node) => node.textContent || ''),
})),
}))()
`) as SearchPayload;
}
cli({
site: 'amazon',
name: 'search',
description: 'Amazon search results for product discovery and coarse filtering',
domain: 'amazon.com',
strategy: Strategy.COOKIE,
navigateBefore: false,
args: [
{
name: 'query',
required: true,
positional: true,
help: 'Search query, for example "desk shelf organizer"',
},
{
name: 'limit',
type: 'int',
default: 20,
help: 'Maximum number of results to return (default 20)',
},
],
columns: ['rank', 'asin', 'title', 'price_text', 'rating_value', 'review_count'],
func: async (page, kwargs) => {
const query = String(kwargs.query ?? '');
const limit = Math.max(1, Number(kwargs.limit) || 20);
const payload = await readSearchPayload(page, query);
const sourceUrl = cleanText(payload.href) || buildSearchUrl(query);
const cards = (payload.cards ?? [])
.filter((card) => cleanText(card.asin) && cleanText(card.title))
.slice(0, limit);
if (cards.length === 0) {
throw new CommandExecutionError(
'amazon search did not expose any product cards',
'The search page may have changed or hit a robot check. Open the same query in Chrome, verify the page is visible, and retry.',
);
}
return cards.map((card, index) => normalizeSearchCandidate(card, index + 1, sourceUrl));
},
});
export const __test__ = {
normalizeSearchCandidate,
};