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AI PROMPT (ai.py): - Requires minimum 3 pros + 2 cons per model with NUMBERS (36 dB, 463 L, A++, не 'тихий/большой') - New field 'reasoning' — 1-sentence why-this-model justification - New per-category 'analysis' — 2-3 sentences about trade-offs - Strict rules: no fake article numbers, account for parallel-import price markup - Russian market 2026 awareness: Haier/Korting up, Bosch/Siemens ⚠ TELEGRAM FORMAT (main.py): - Renders category analysis as italic prelude - Lists pros/cons as bullet lists (up to 4 pros, 3 cons) - Shows '🛒 Нашли в: OZON · Citilink · WB' line listing successful sources - Rating + reviews + stores count line: '📊 ★ 4.7 · 1242 отзыв. · 12 магаз.' - Direct link to best store: '🔗 Открыть в магазине' WB PARSER: - Generates 3 query variants per request: full → brand+model → model only - Increases hit rate when AI search_query is too verbose - First non-empty variant wins MINIAPP REPORT (podbor.js + podbor.css): - Category analysis block above models (italic, walnut left-border) - Pros block: green tinted bg, bullet list, header 'Плюсы' - Cons block: terracotta tinted bg, bullet list, header 'Минусы' - Reasoning chip: 💡 italic in warm background - Source badges with per-store price '<store> · 89 990 ₽' - Color-coded source links: OZON blue, Citilink yellow, WB pink, Я.Маркет red, DNS orange - 'X магазинов нашли товар' header + plural fix - '— не найден' fallback if 0 sources PREVIEW (preview-report.html): - Mock updated with Haier as flagship (more relevant for 2026 RF) - Shows analysis, reasoning, source spread (4 stores with different prices) |
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| app.js | ||
| icons.js | ||
| podbor.config.js | ||
| podbor.css | ||
| podbor.js | ||
| podbor.picts.js | ||
| styles.css | ||