mirror of
https://github.com/mealie-recipes/mealie.git
synced 2025-05-31 20:25:14 -04:00
39 lines
1023 B
Python
39 lines
1023 B
Python
from dataclasses import dataclass
|
||
from fractions import Fraction
|
||
|
||
import pytest
|
||
|
||
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),
|
||
]
|
||
|
||
|
||
@pytest.mark.skip
|
||
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()
|