import pytest from app.platforms.ebay.normaliser import normalise_listing, normalise_seller def test_normalise_listing_maps_fields(): raw = { "itemId": "v1|12345|0", "title": "RTX 4090 GPU", "price": {"value": "950.00", "currency": "USD"}, "condition": "USED", "seller": {"username": "techguy", "feedbackScore": 300, "feedbackPercentage": "99.1"}, "itemWebUrl": "https://ebay.com/itm/12345", "image": {"imageUrl": "https://i.ebayimg.com/1.jpg"}, "additionalImages": [{"imageUrl": "https://i.ebayimg.com/2.jpg"}], "itemCreationDate": "2026-03-20T00:00:00.000Z", } listing = normalise_listing(raw) assert listing.platform == "ebay" assert listing.platform_listing_id == "v1|12345|0" assert listing.title == "RTX 4090 GPU" assert listing.price == 950.0 assert listing.condition == "used" assert listing.seller_platform_id == "techguy" assert "https://i.ebayimg.com/1.jpg" in listing.photo_urls assert "https://i.ebayimg.com/2.jpg" in listing.photo_urls def test_normalise_listing_handles_missing_images(): raw = { "itemId": "v1|999|0", "title": "GPU", "price": {"value": "100.00", "currency": "USD"}, "condition": "NEW", "seller": {"username": "u"}, "itemWebUrl": "https://ebay.com/itm/999", } listing = normalise_listing(raw) assert listing.photo_urls == [] def test_normalise_seller_maps_fields(): raw = { "username": "techguy", "feedbackScore": 300, "feedbackPercentage": "99.1", "registrationDate": "2020-03-01T00:00:00.000Z", "sellerFeedbackSummary": { "feedbackByCategory": [ {"transactionPercent": "95.0", "categorySite": "ELECTRONICS", "count": "50"} ] } } seller = normalise_seller(raw) assert seller.username == "techguy" assert seller.feedback_count == 300 assert seller.feedback_ratio == pytest.approx(0.991, abs=0.001) assert seller.account_age_days > 0