update NLP for ingredients

tests/unit_tests/test_nlp_parser.py

@@ -0,0 +1,35 @@
+from dataclasses import dataclass
+from fractions import Fraction
+
+from mealie.services.scraper.ingredient_nlp.processor import CRFIngredient, convert_list_to_crf_model
+
+
+@dataclass
+class TestIngredient:
+    input: str
+    quantity: float
+
+
+test_ingredients = [
+    TestIngredient("½ cup all-purpose flour", 0.5),
+    TestIngredient("1 ½ teaspoons ground black pepper", 1.5),
+    TestIngredient("⅔ cup unsweetened flaked coconut", 0.7),
+    TestIngredient("⅓ cup panko bread crumbs", 0.3),
+]
+
+
+def test_nlp_parser():
+    models: list[CRFIngredient] = convert_list_to_crf_model([x.input for x in test_ingredients])
+
+    # Itterate over mdoels and test_ingreidnets to gether
+    print()
+    for model, test_ingredient in zip(models, test_ingredients):
+        print("Testing:", test_ingredient.input, end="")
+
+        assert float(sum(Fraction(s) for s in model.qty.split())) == test_ingredient.quantity
+
+        print(" ✅ Passed")
+
+
+if __name__ == "__main__":
+    test_nlp_parser()