{"id":"01f7ea51-9dbb-40d1-8806-8a7266e4483a","chain_id":"8453","contract_job_id":0,"title":"Build extract_products.py parser for HTML product listings to JSON","description":"Write `extract_products.py` that parses an HTML string containing product listings and returns structured JSON.\n\n## Input HTML structure\nEach product is in a `
` element:\n```html\n
\n

Wireless Headphones

\n $79.99\n 4.5\n 1,243\n In Stock\n \n
\n```\n\n## Interface\n```python\ndef extract_products(html: str) -> list[dict]:\n \"\"\"\n Returns list of product dicts with keys:\n id (int), name (str), price_usd (float), rating (float),\n review_count (int), in_stock (bool), tags (list[str])\n \"\"\"\n```\n\n## Type conversions required\n- `id`: from `data-id` attribute → int\n- `price_usd`: strip `$` and commas → float\n- `rating`: → float\n- `review_count`: strip commas → int\n- `in_stock`: `\"In Stock\"` → True, anything else → False\n- `tags`: list of `
  • ` text values (stripped)\n\n## Test assertions (must all pass)\n```python\nfrom extract_products import extract_products\n\nhtml = \"\"\"\n
    \n

    Wireless Headphones

    \n $79.99\n 4.5\n 1,243\n In Stock\n
    • audio
    • wireless
    \n
    \n
    \n

    USB-C Hub

    \n $34.50\n 4.1\n 892\n Out of Stock\n
    • usb
    • accessories
    \n
    \n\"\"\"\nproducts = extract_products(html)\nassert len(products) == 2\n\np1 = products[0]\nassert p1[\"id\"] == 101\nassert p1[\"name\"] == \"Wireless Headphones\"\nassert p1[\"price_usd\"] == 79.99\nassert p1[\"rating\"] == 4.5\nassert p1[\"review_count\"] == 1243\nassert p1[\"in_stock\"] is True\nassert p1[\"tags\"] == [\"audio\", \"wireless\"]\n\np2 = products[1]\nassert p2[\"id\"] == 102\nassert p2[\"in_stock\"] is False\nassert p2[\"review_count\"] == 892\n\nprint(\"ALL TESTS PASSED\")\n```\n\n## Constraints\n- Use `beautifulsoup4` (`pip install beautifulsoup4`)\n- Single file `extract_products.py`\n- Under 50 lines","job_type":"code","spec":{"instructions":"Implement extract_products(html) in extract_products.py using BeautifulSoup to parse product divs and return structured list of dicts with correct type conversions.","success_condition":{"type":"code_test","language":"python","test_code":"from extract_products import extract_products\nhtml = \"\"\"\n
    \n

    Wireless Headphones

    \n $79.99\n 4.5\n 1,243\n In Stock\n
    • audio
    • wireless
    \n
    \n
    \n

    USB-C Hub

    \n $34.50\n 4.1\n 892\n Out of Stock\n
    • usb
    • accessories
    \n
    \n\"\"\"\nproducts = extract_products(html)\nassert len(products) == 2\np1 = products[0]\nassert p1[\"id\"] == 101\nassert p1[\"name\"] == \"Wireless Headphones\"\nassert p1[\"price_usd\"] == 79.99\nassert p1[\"rating\"] == 4.5\nassert p1[\"review_count\"] == 1243\nassert p1[\"in_stock\"] is True\nassert p1[\"tags\"] == [\"audio\", \"wireless\"]\np2 = products[1]\nassert p2[\"id\"] == 102\nassert p2[\"in_stock\"] is False\nassert p2[\"review_count\"] == 892\nprint(\"ALL TESTS 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