100 lines
4.0 KiB
Python
100 lines
4.0 KiB
Python
import unittest
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import build_canonical_layer
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class CanonicalLayerTests(unittest.TestCase):
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def test_build_canonical_layer_auto_links_exact_upc_and_name_size(self):
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observed_rows = [
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{
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"observed_product_id": "gobs_1",
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"representative_upc": "111",
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"representative_retailer_item_id": "11",
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"representative_name_norm": "GALA APPLE",
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"representative_brand": "SB",
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"representative_variant": "",
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"representative_size_value": "5",
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"representative_size_unit": "lb",
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"representative_pack_qty": "",
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"representative_measure_type": "weight",
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"is_fee": "false",
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"is_discount_line": "false",
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"is_coupon_line": "false",
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},
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{
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"observed_product_id": "gobs_2",
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"representative_upc": "111",
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"representative_retailer_item_id": "12",
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"representative_name_norm": "LARGE WHITE EGGS",
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"representative_brand": "SB",
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"representative_variant": "",
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"representative_size_value": "",
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"representative_size_unit": "",
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"representative_pack_qty": "18",
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"representative_measure_type": "count",
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"is_fee": "false",
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"is_discount_line": "false",
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"is_coupon_line": "false",
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},
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{
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"observed_product_id": "gobs_3",
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"representative_upc": "",
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"representative_retailer_item_id": "21",
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"representative_name_norm": "ROTINI",
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"representative_brand": "",
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"representative_variant": "",
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"representative_size_value": "16",
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"representative_size_unit": "oz",
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"representative_pack_qty": "",
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"representative_measure_type": "weight",
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"is_fee": "false",
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"is_discount_line": "false",
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"is_coupon_line": "false",
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},
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{
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"observed_product_id": "gobs_4",
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"representative_upc": "",
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"representative_retailer_item_id": "22",
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"representative_name_norm": "ROTINI",
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"representative_brand": "SB",
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"representative_variant": "",
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"representative_size_value": "16",
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"representative_size_unit": "oz",
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"representative_pack_qty": "",
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"representative_measure_type": "weight",
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"is_fee": "false",
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"is_discount_line": "false",
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"is_coupon_line": "false",
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},
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{
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"observed_product_id": "gobs_5",
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"representative_upc": "",
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"representative_retailer_item_id": "99",
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"representative_name_norm": "GL BAG CHARGE",
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"representative_brand": "",
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"representative_variant": "",
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"representative_size_value": "",
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"representative_size_unit": "",
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"representative_pack_qty": "",
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"representative_measure_type": "each",
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"is_fee": "true",
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"is_discount_line": "false",
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"is_coupon_line": "false",
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},
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]
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canonicals, links = build_canonical_layer.build_canonical_layer(observed_rows)
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self.assertEqual(2, len(canonicals))
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self.assertEqual(4, len(links))
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methods = {row["observed_product_id"]: row["link_method"] for row in links}
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self.assertEqual("exact_upc", methods["gobs_1"])
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self.assertEqual("exact_upc", methods["gobs_2"])
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self.assertEqual("exact_name_size", methods["gobs_3"])
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self.assertEqual("exact_name_size", methods["gobs_4"])
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self.assertNotIn("gobs_5", methods)
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if __name__ == "__main__":
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unittest.main()
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