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fix(deps): update dependency ingredient-parser-nlp to v2 (#5137)

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Michael Genson 2025-02-28 09:51:36 -06:00 • committed by GitHub
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commit cfba2fff7e
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4 changed files with 148 additions and 16 deletions
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17
tests/integration_tests/user_recipe_tests/test_recipe_ingredient_parser.py
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@ -8,7 +8,7 @@ from tests.utils.fixture_schemas import TestUser
nlp_test_ingredients = [
TestIngredient("½ cup all-purpose flour", 0.5, "cup", "all-purpose flour", ""),
TestIngredient("1 ½ teaspoons ground black pepper", 1.5, "teaspoon", "ground black pepper", ""),
TestIngredient("1 ½ teaspoons ground black pepper", 1.5, "teaspoon", "black pepper", "ground"),
TestIngredient("⅔ cup unsweetened flaked coconut", 0.667, "cup", "unsweetened flaked coconut", ""),
TestIngredient("⅓ cup panko bread crumbs", 0.333, "cup", "panko bread crumbs", ""),
TestIngredient("1/8 cup all-purpose flour", 0.125, "cup", "all-purpose flour", ""),
@ -23,14 +23,21 @@ nlp_test_ingredients = [
),
TestIngredient("2 tablespoons (30ml) vegetable oil ", 2, "tablespoon", "vegetable oil", ""),
TestIngredient("2 teaspoons salt (to taste) ", 2, "teaspoon", "salt", "to taste"),
TestIngredient("2 cups chicken broth or beef broth ", 2, "cup", "chicken broth", ""),
TestIngredient("1/2 cup", 0.5, "cup", "", ""),
]
def assert_ingredient(api_response: dict, test_ingredient: TestIngredient):
assert api_response["ingredient"]["quantity"] == pytest.approx(test_ingredient.quantity)
assert api_response["ingredient"]["unit"]["name"] == test_ingredient.unit
assert api_response["ingredient"]["food"]["name"] == test_ingredient.food
assert api_response["ingredient"]["note"] == test_ingredient.comments
response_quantity = api_response["ingredient"]["quantity"]
response_unit = api_response["ingredient"]["unit"]["name"] if api_response["ingredient"]["unit"] else ""
response_food = api_response["ingredient"]["food"]["name"] if api_response["ingredient"]["food"] else ""
response_note = api_response["ingredient"]["note"]
assert response_quantity == pytest.approx(test_ingredient.quantity)
assert response_unit == test_ingredient.unit
assert response_food == test_ingredient.food
assert response_note == test_ingredient.comments
@pytest.mark.parametrize("test_ingredient", nlp_test_ingredients)