import unittest

import build_canonical_layer


class CanonicalLayerTests(unittest.TestCase):
    def test_build_canonical_layer_auto_links_exact_upc_and_name_size(self):
        observed_rows = [
            {
                "observed_product_id": "gobs_1",
                "representative_upc": "111",
                "representative_name_norm": "GALA APPLE",
                "representative_brand": "SB",
                "representative_variant": "",
                "representative_size_value": "5",
                "representative_size_unit": "lb",
                "representative_pack_qty": "",
                "representative_measure_type": "weight",
                "is_fee": "false",
            },
            {
                "observed_product_id": "gobs_2",
                "representative_upc": "111",
                "representative_name_norm": "LARGE WHITE EGGS",
                "representative_brand": "SB",
                "representative_variant": "",
                "representative_size_value": "",
                "representative_size_unit": "",
                "representative_pack_qty": "18",
                "representative_measure_type": "count",
                "is_fee": "false",
            },
            {
                "observed_product_id": "gobs_3",
                "representative_upc": "",
                "representative_name_norm": "ROTINI",
                "representative_brand": "",
                "representative_variant": "",
                "representative_size_value": "16",
                "representative_size_unit": "oz",
                "representative_pack_qty": "",
                "representative_measure_type": "weight",
                "is_fee": "false",
            },
            {
                "observed_product_id": "gobs_4",
                "representative_upc": "",
                "representative_name_norm": "ROTINI",
                "representative_brand": "SB",
                "representative_variant": "",
                "representative_size_value": "16",
                "representative_size_unit": "oz",
                "representative_pack_qty": "",
                "representative_measure_type": "weight",
                "is_fee": "false",
            },
            {
                "observed_product_id": "gobs_5",
                "representative_upc": "",
                "representative_name_norm": "GL BAG CHARGE",
                "representative_brand": "",
                "representative_variant": "",
                "representative_size_value": "",
                "representative_size_unit": "",
                "representative_pack_qty": "",
                "representative_measure_type": "each",
                "is_fee": "true",
            },
        ]

        canonicals, links = build_canonical_layer.build_canonical_layer(observed_rows)

        self.assertEqual(2, len(canonicals))
        self.assertEqual(4, len(links))
        methods = {row["observed_product_id"]: row["link_method"] for row in links}
        self.assertEqual("exact_upc", methods["gobs_1"])
        self.assertEqual("exact_upc", methods["gobs_2"])
        self.assertEqual("exact_name_size", methods["gobs_3"])
        self.assertEqual("exact_name_size", methods["gobs_4"])
        self.assertNotIn("gobs_5", methods)


if __name__ == "__main__":
    unittest.main()