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