- New use_proxy param (default True)
- Per-request random proxy from pool
- _parse_proxy_url_for_playwright converts http://user:pass@host:port to playwright.proxy dict
- New env: PROXY_LIST_FILE — path to file with one proxy per line
- _normalize_proxy_entry accepts: http://user:pass@host:port, host:port:user:pass (Proxys.io format), host:port
- _load_from_file reads file, dedup with static list
- /api/proxy_status returns file_path, file_loaded count, sample (first 3 masked)
DIAGNOSTIC RESULTS:
- OZON: 19 product links via Playwright on naked VPS-IP ✓
- Citilink: 112 data-meta-name Snippets ✓
- Wildberries: JSON API works with delays ✓
- Я.Маркет, DNS: blocked by ASN (need residential proxy)
OZON PARSER:
- Pure Playwright DOM (composer-api dropped — was blocked)
- Selects a[href*='/product/'], walks up to card div, extracts title/price/img
- Filters fake 'titles' like Распродажа, Скидка
CITILINK PARSER (new):
- Selects [data-meta-name*='Snippet'] or ProductCard markers
- Multiple title selectors fallback chain
- Filters out non-product hits
PARSERS/__init__.py:
- DEFAULT_SOURCES = (ozon, citilink, wb) — all work without proxy
- Я.Маркет, DNS kept but not default — usable when residential proxy added
NEW ENDPOINT:
- GET /api/parse_citilink?q=...&limit=N
- proxy_pool now loads from both PROXY_STATIC_LIST (env, comma-separated) and PROXY6_TOKEN (API)
- Static list has priority, merged with API list (dedup by URL)
- /api/proxy_status returns masked proxy URLs for diagnostic (passwords hidden)
- Supports formats: 'http://user:pass@host:port' or 'host:port' (assumed http://)
PROXY POOL (app/proxy_pool.py):
- Loads active proxies from Proxy6.net API every 10 min
- Random rotation per request via proxied_client(timeout, headers)
- Graceful fallback to direct HTTP if PROXY6_TOKEN not set
- Config: PROXY6_TOKEN env var
PARSERS (app/parsers/):
- dns.py — refactored to use proxy_pool with retry+rotation on Qrator block
- wb.py — Wildberries JSON API (search.wb.ru), retries on 429
- ozon.py — OZON composer-api JSON (widgetStates extraction)
- yamarket.py — Я.Маркет HTML + embedded JSON parser
- __init__.py — enrich_one() fans out to all sources, aggregates min/max prices, max rating, sum reviews
- enrich_models() — batch enrich for AI by_category output
NEW DIAGNOSTIC ENDPOINTS (main.py):
- GET /api/parse_wb?q=...&limit=N
- GET /api/parse_ozon?q=...&limit=N
- GET /api/parse_yamarket?q=...&limit=N
- GET /api/parse_all?q=... — fan-out + aggregate
- GET /api/proxy_status — pool diagnostics (count, token configured, age)
PODBOR (main.py):
- _enrich_ai_with_dns -> _enrich_ai_marketplaces (uses all sources)
DEPLOY: needs PROXY6_TOKEN in /opt/zov-tech/deploy/.env on VPS, then docker compose build + up -d backend
AI PROMPT (ai.py):
- Документирует новую форму checklist (per_cat.answers, brand_strategy, single_brand, brands, budget_preset, pick_strategies)
- Просит вернуть 3-5 моделей по КАЖДОЙ категории (не одну)
- Новый формат ответа: by_category[cat].models[] с brand/model/price_min/price_max/search_query/pros/cons/tier
- Подробные правила для бренд-стратегий (single → вся техника одной марки; different → preferred/acceptable/avoid)
- Бюджет-пресеты с авто-распределением по категориям (fridge ~25%, hob ~12% и т.д.)
DNS PARSER (parsers/dns.py):
- search_dns(query, limit) — HTTP + BeautifulSoup
- Реалистичный User-Agent, фолбэк на JSON-LD если HTML-селекторы не сработали
- enrich_models(models) — обогащает список моделей от AI, добавляя dns: {title, price, image, url, rating, reviews}
- Вежливая задержка 0.4с между запросами
MAIN.PY:
- /api/parse_dns?q=... — тестовый эндпоинт для проверки парсера
- _handle_podbor теперь после AI вызывает _enrich_ai_with_dns для каждой модели
- _format_podbor_for_telegram переписан под новый формат by_category — выводит 3-5 моделей в каждой категории с pros/cons
- Fallback на старый формат items[] для совместимости
REQUIREMENTS:
- + beautifulsoup4 >= 4.12
- + lxml >= 5.2
DEPLOY: после пуша на VPS нужно пересобрать backend контейнер (docker compose up --build -d backend)
