056c47581f
Ships the second dashboard surface — a Pattern Library + Preview Theatre — that presents the 4-section PDP pilot batch back to Umar, compliance, and the board in an editorial format. Adds the full data layer that drives it: 5 source-backed per-SKU drafts at QA 100/100, 15 competitor PDP semantic extracts, PubMed evidence packs, EFSA claims library extension, JV brand voice guide, hand-curated product FAQs, and the Matrixify-ready CSV exports for Lewis. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
45 lines
2.2 KiB
TypeScript
45 lines
2.2 KiB
TypeScript
#!/usr/bin/env bun
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import { intelPath, listProducts, readPilotDoc, sourcePath, listJson, sourceStatus, writeJson, now } from './lib/intel-utils'
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const rawFiles = listJson(sourcePath('amazon'))
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writeJson(sourcePath('amazon-status.json'), {
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generatedAt: now(),
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sourceType: 'amazon_import_status',
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status: rawFiles.length ? 'available' : 'missing',
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files: rawFiles,
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note: rawFiles.length ? 'Raw Amazon source drops detected. Extraction hooks can map rows into per-SKU themes.' : 'Place Amazon JV/competitor JSON exports in data/sources/amazon/. No synthetic Amazon evidence generated.'
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})
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console.log(`Amazon source files: ${rawFiles.length}`)
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for (const product of listProducts()) {
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const sku = product.sku
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const { aspects, improvements } = readPilotDoc(sku)
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const seededBenefits = product.metafields?.pdpProductBenefits || []
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const themes = (improvements.improvements || []).length
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? improvements.improvements.slice(0, 7).map((item: any) => ({
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rank: item.rank,
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theme: item.productWeakness || item.improvement,
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jvFeefoSignal: item.improvement,
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expectedAmazonCheck: 'Confirm whether Amazon shoppers mention the same issue before using as market-wide evidence.',
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status: rawFiles.length ? 'ready_for_extraction' : 'needs_amazon_ingestion'
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}))
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: seededBenefits.slice(0, 7).map((benefit: string, index: number) => ({
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rank: index + 1,
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theme: benefit,
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jvFeefoSignal: 'Seeded from product content; no per-SKU Amazon extraction yet.',
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expectedAmazonCheck: 'Use as an extraction queue only until deeper Amazon evidence is captured for this SKU/category.',
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status: rawFiles.length ? 'source_seed_available_needs_sku_validation' : 'needs_amazon_ingestion'
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}))
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writeJson(intelPath(sku, 'amazon-reviews.json'), {
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sku,
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name: aspects.name || product.name || sku,
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generatedAt: now(),
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generatedBy: 'scrape-amazon.ts/import-normalizer',
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n: rawFiles.length,
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sourceStatus: { amazonJv: sourceStatus('amazon'), amazonCompetitors: sourceStatus('amazon') },
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coverage: rawFiles.length ? 'catalogue_queue_seeded_from_limited_source_drop' : 'missing_source_drop',
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themes
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})
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console.log(`${sku}: refreshed Amazon review queue`)
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}
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