feat: adding the rest ofthe nutrition properties from schema.org

alembic/versions/2024-10-01-14.17.00_602927e1013e_add_the_rest_of_the_schema_org_.py

@@ -0,0 +1,39 @@
+"""'add the rest of the schema.org nutrition properties'
+
+Revision ID: 602927e1013e
+Revises: 1fe4bd37ccc8
+Create Date: 2024-10-01 14:17:00.611398
+
+"""
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision = "602927e1013e"
+down_revision: str | None = "1fe4bd37ccc8"
+branch_labels: str | tuple[str, ...] | None = None
+depends_on: str | tuple[str, ...] | None = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("recipe_nutrition", schema=None) as batch_op:
+        batch_op.add_column(sa.Column("cholesterol_content", sa.String(), nullable=True))
+        batch_op.add_column(sa.Column("saturated_fat_content", sa.String(), nullable=True))
+        batch_op.add_column(sa.Column("trans_fat_content", sa.String(), nullable=True))
+        batch_op.add_column(sa.Column("unsaturated_fat_content", sa.String(), nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("recipe_nutrition", schema=None) as batch_op:
+        batch_op.drop_column("unsaturated_fat_content")
+        batch_op.drop_column("trans_fat_content")
+        batch_op.drop_column("saturated_fat_content")
+        batch_op.drop_column("cholesterol_content")
+
+    # ### end Alembic commands ###

frontend/composables/recipes/use-recipe-nutrition.ts

@@ -17,6 +17,14 @@ export function useNutritionLabels() {
       label: i18n.tc("recipe.calories"),
       suffix: i18n.tc("recipe.calories-suffix"),
     },
+    carbohydrateContent: {
+      label: i18n.tc("recipe.carbohydrate-content"),
+      suffix: i18n.tc("recipe.grams"),
+    },
+    cholesterolContent: {
+      label: i18n.tc("recipe.cholesterol-content"),
+      suffix: i18n.tc("recipe.milligrams"),
+    },
     fatContent: {
       label: i18n.tc("recipe.fat-content"),
       suffix: i18n.tc("recipe.grams"),
@@ -29,6 +37,10 @@ export function useNutritionLabels() {
       label: i18n.tc("recipe.protein-content"),
       suffix: i18n.tc("recipe.grams"),
     },
+    saturatedFatContent: {
+      label: i18n.tc("recipe.saturated-fat-content"),
+      suffix: i18n.tc("recipe.grams"),
+    },
     sodiumContent: {
       label: i18n.tc("recipe.sodium-content"),
       suffix: i18n.tc("recipe.milligrams"),
@@ -37,8 +49,12 @@ export function useNutritionLabels() {
       label: i18n.tc("recipe.sugar-content"),
       suffix: i18n.tc("recipe.grams"),
     },
-    carbohydrateContent: {
-      label: i18n.tc("recipe.carbohydrate-content"),
+    transFatContent: {
+      label: i18n.tc("recipe.trans-fat-content"),
+      suffix: i18n.tc("recipe.grams"),
+    },
+    unsaturatedFatContent: {
+      label: i18n.tc("recipe.unsaturated-fat-content"),
       suffix: i18n.tc("recipe.grams"),
     },
   };

frontend/lang/messages/en-US.json

@@ -461,6 +461,7 @@
     "calories-suffix": "calories",
     "carbohydrate-content": "Carbohydrate",
     "categories": "Categories",
+    "cholesterol-content": "Cholesterol",
     "comment-action": "Comment",
     "comment": "Comment",
     "comments": "Comments",
@@ -507,6 +508,7 @@
     "recipe-updated": "Recipe updated",
     "remove-from-favorites": "Remove from Favorites",
     "remove-section": "Remove Section",
+    "saturated-fat-content": "Saturated fat",
     "save-recipe-before-use": "Save recipe before use",
     "section-title": "Section Title",
     "servings": "Servings",
@@ -517,7 +519,9 @@
     "sugar-content": "Sugar",
     "title": "Title",
     "total-time": "Total Time",
+    "trans-fat-content": "Trans-fat",
     "unable-to-delete-recipe": "Unable to Delete Recipe",
+    "unsaturated-fat-content": "Unsaturated fat",
     "no-recipe": "No Recipe",
     "locked-by-owner": "Locked by Owner",
     "join-the-conversation": "Join the Conversation",

frontend/lib/api/types/recipe.ts

@@ -194,12 +194,16 @@ export interface MergeUnit {
 }
 export interface Nutrition {
   calories?: string | null;
-  fatContent?: string | null;
-  proteinContent?: string | null;
   carbohydrateContent?: string | null;
+  cholesterolContent?: string | null;
+  fatContent?: string | null;
   fiberContent?: string | null;
+  proteinContent?: string | null;
+  saturatedFatContent?: string | null;
   sodiumContent?: string | null;
   sugarContent?: string | null;
+  transFatContent?: string | null;
+  unsaturatedFatContent?: string | null;
 }
 export interface ParsedIngredient {
   input?: string | null;
@@ -486,7 +490,7 @@ export interface ScrapeRecipeTest {
   url: string;
   useOpenAI?: boolean;
 }
-export interface SlugResponse {}
+export interface SlugResponse { }
 export interface TagIn {
   name: string;
 }

mealie/db/models/recipe/nutrition.py

@@ -9,28 +9,52 @@ class Nutrition(SqlAlchemyBase):
     __tablename__ = "recipe_nutrition"
     id: Mapped[int] = mapped_column(sa.Integer, primary_key=True)
     recipe_id: Mapped[GUID | None] = mapped_column(GUID, sa.ForeignKey("recipes.id"), index=True)
+
     calories: Mapped[str | None] = mapped_column(sa.String)
+    carbohydrate_content: Mapped[str | None] = mapped_column(sa.String)
+    cholesterol_content: Mapped[str | None] = mapped_column(sa.String)
     fat_content: Mapped[str | None] = mapped_column(sa.String)
     fiber_content: Mapped[str | None] = mapped_column(sa.String)
     protein_content: Mapped[str | None] = mapped_column(sa.String)
-    carbohydrate_content: Mapped[str | None] = mapped_column(sa.String)
+    saturated_fat_content: Mapped[str | None] = mapped_column(sa.String)
+
+    # `serving_size` is not a scaling factor, but a per-serving volume or mass
+    # according to schema.org. E.g., "2 L", "500 g", "5 cups", etc.
+    #
+    # Ignoring for now because it's too difficult to work around variable units
+    # in translation for the frontend. Also, it causes cognitive dissonance wrt
+    # "servings" (i.e., "serves 2" etc.), which is an unrelated concept that
+    # might cause confusion.
+    #
+    # serving_size: Mapped[str | None] = mapped_column(sa.String)
+
     sodium_content: Mapped[str | None] = mapped_column(sa.String)
     sugar_content: Mapped[str | None] = mapped_column(sa.String)
+    trans_fat_content: Mapped[str | None] = mapped_column(sa.String)
+    unsaturated_fat_content: Mapped[str | None] = mapped_column(sa.String)
 
     def __init__(
         self,
         calories=None,
+        carbohydrate_content=None,
+        cholesterol_content=None,
         fat_content=None,
         fiber_content=None,
         protein_content=None,
+        saturated_fat_content=None,
         sodium_content=None,
         sugar_content=None,
-        carbohydrate_content=None,
+        trans_fat_content=None,
+        unsaturated_fat_content=None,
     ) -> None:
         self.calories = calories
+        self.carbohydrate_content = carbohydrate_content
+        self.cholesterol_content = cholesterol_content
         self.fat_content = fat_content
         self.fiber_content = fiber_content
         self.protein_content = protein_content
+        self.saturated_fat_content = saturated_fat_content
         self.sodium_content = sodium_content
         self.sugar_content = sugar_content
-        self.carbohydrate_content = carbohydrate_content
+        self.trans_fat_content = trans_fat_content
+        self.unsaturated_fat_content = unsaturated_fat_content

mealie/db/models/recipe/recipe.py

@@ -187,7 +187,7 @@ def __init__(
         settings: dict | None = None,
         **_,
     ) -> None:
-        self.nutrition = Nutrition(**nutrition) if nutrition else Nutrition()
+        self.nutrition = Nutrition(**(nutrition or {}))
 
         if recipe_instructions is not None:
             self.recipe_instructions = [RecipeInstruction(**step, session=session) for step in recipe_instructions]
@@ -198,7 +198,7 @@ def __init__(
         if assets:
             self.assets = [RecipeAsset(**a) for a in assets]
 
-        self.settings = RecipeSettings(**settings) if settings else RecipeSettings()
+        self.settings = RecipeSettings(**(settings or {}))
 
         if notes:
             self.notes = [Note(**n) for n in notes]

mealie/routes/spa/__init__.py

@@ -104,15 +104,7 @@ def content_with_meta(group_slug: str, recipe: Recipe) -> str:
 
             ingredients.append(s)
 
-    nutrition: dict[str, str | None] = {}
-    if recipe.nutrition:
-        nutrition["calories"] = recipe.nutrition.calories
-        nutrition["fatContent"] = recipe.nutrition.fat_content
-        nutrition["fiberContent"] = recipe.nutrition.fiber_content
-        nutrition["proteinContent"] = recipe.nutrition.protein_content
-        nutrition["carbohydrateContent"] = recipe.nutrition.carbohydrate_content
-        nutrition["sodiumContent"] = recipe.nutrition.sodium_content
-        nutrition["sugarContent"] = recipe.nutrition.sugar_content
+    nutrition: dict[str, str | None] = recipe.nutrition.model_dump(by_alias=True) if recipe.nutrition else {}
 
     as_schema_org = {
         "@context": "https://schema.org",

mealie/schema/recipe/recipe_nutrition.py

@@ -1,14 +1,24 @@
 from pydantic import ConfigDict
+from pydantic.alias_generators import to_camel
 
 from mealie.schema._mealie import MealieModel
 
 
 class Nutrition(MealieModel):
     calories: str | None = None
-    fat_content: str | None = None
-    protein_content: str | None = None
     carbohydrate_content: str | None = None
+    cholesterol_content: str | None = None
+    fat_content: str | None = None
     fiber_content: str | None = None
+    protein_content: str | None = None
+    saturated_fat_content: str | None = None
     sodium_content: str | None = None
     sugar_content: str | None = None
-    model_config = ConfigDict(from_attributes=True, coerce_numbers_to_str=True)
+    trans_fat_content: str | None = None
+    unsaturated_fat_content: str | None = None
+
+    model_config = ConfigDict(
+        from_attributes=True,
+        coerce_numbers_to_str=True,
+        alias_generator=to_camel,
+    )

mealie/services/migrations/myrecipebox.py

@@ -12,6 +12,18 @@
 from ._migration_base import BaseMigrator
 from .utils.migration_helpers import scrape_image, split_by_line_break, split_by_semicolon
 
+nutrition_map = {
+    "carbohydrate": "carbohydrateContent",
+    "protein": "proteinContent",
+    "fat": "fatContent",
+    "saturatedfat": "saturatedFatContent",
+    "transfat": "transFatContent",
+    "sodium": "sodiumContent",
+    "fiber": "fiberContent",
+    "sugar": "sugarContent",
+    "unsaturatedfat": "unsaturatedFatContent",
+}
+
 
 class MyRecipeBoxMigrator(BaseMigrator):
     def __init__(self, **kwargs):
@@ -53,22 +65,26 @@ def parse_time(self, time: Any) -> str | None:
         except Exception:
             return None
 
-    def parse_nutrition(self, input: Any) -> dict | None:
-        if not input or not isinstance(input, str):
+    def parse_nutrition(self, input_: Any) -> dict | None:
+        if not input_ or not isinstance(input_, str):
             return None
 
         nutrition = {}
 
-        vals = [x.strip() for x in input.split(",") if x]
+        vals = (x.strip() for x in input_.split("\n") if x)
         for val in vals:
             try:
-                key, value = val.split(":", maxsplit=1)
+                key, value = (x.strip() for x in val.split(":", maxsplit=1))
+
                 if not (key and value):
                     continue
+
+                key = nutrition_map.get(key.lower(), key)
+
             except ValueError:
                 continue
 
-            nutrition[key.strip()] = value.strip()
+            nutrition[key] = value
 
         return cleaner.clean_nutrition(nutrition) if nutrition else None
 

mealie/services/migrations/plantoeat.py

@@ -37,6 +37,19 @@ def get_value_as_string_or_none(dictionary: dict, key: str):
         return None
 
 
+nutrition_map = {
+    "Calories": "calories",
+    "Fat": "fatContent",
+    "Saturated Fat": "saturatedFatContent",
+    "Cholesterol": "cholesterolContent",
+    "Sodium": "sodiumContent",
+    "Sugar": "sugarContent",
+    "Carbohydrate": "carbohydrateContent",
+    "Fiber": "fiberContent",
+    "Protein": "proteinContent",
+}
+
+
 class PlanToEatMigrator(BaseMigrator):
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
@@ -63,16 +76,7 @@ def __init__(self, **kwargs):
 
     def _parse_recipe_nutrition_from_row(self, row: dict) -> dict:
         """Parses the nutrition data from the row"""
-
-        nut_dict: dict = {}
-
-        nut_dict["calories"] = get_value_as_string_or_none(row, "Calories")
-        nut_dict["fatContent"] = get_value_as_string_or_none(row, "Fat")
-        nut_dict["proteinContent"] = get_value_as_string_or_none(row, "Protein")
-        nut_dict["carbohydrateContent"] = get_value_as_string_or_none(row, "Carbohydrate")
-        nut_dict["fiberContent"] = get_value_as_string_or_none(row, "Fiber")
-        nut_dict["sodiumContent"] = get_value_as_string_or_none(row, "Sodium")
-        nut_dict["sugarContent"] = get_value_as_string_or_none(row, "Sugar")
+        nut_dict = {normalized_k: row[k] for k, normalized_k in nutrition_map.items() if k in row}
 
         return cleaner.clean_nutrition(nut_dict)
 

mealie/services/scraper/cleaner.py

@@ -495,7 +495,7 @@ def clean_nutrition(nutrition: dict | None) -> dict[str, str]:
     list of valid keys
 
     Assumptionas:
-        - All units are supplied in grams, expect sodium which maybe be in milligrams
+        - All units are supplied in grams, expect sodium and cholesterol which maybe be in milligrams
 
     Returns:
         dict[str, str]: If the argument is None, or not a dictionary, an empty dictionary is returned
@@ -509,9 +509,10 @@ def clean_nutrition(nutrition: dict | None) -> dict[str, str]:
             if matched_digits := MATCH_DIGITS.search(val):
                 output_nutrition[key] = matched_digits.group(0).replace(",", ".")
 
-    if sodium := nutrition.get("sodiumContent", None):
-        if isinstance(sodium, str) and "m" not in sodium and "g" in sodium:
-            with contextlib.suppress(AttributeError, TypeError):
-                output_nutrition["sodiumContent"] = str(float(output_nutrition["sodiumContent"]) * 1000)
+    for key in ["sodiumContent", "cholesterolContent"]:
+        if val := nutrition.get(key, None):
+            if isinstance(val, str) and "m" not in val and "g" in val:
+                with contextlib.suppress(AttributeError, TypeError):
+                    output_nutrition[key] = str(float(output_nutrition[key]) * 1000)
 
     return output_nutrition

tests/fixtures/fixture_users.py

@@ -173,8 +173,7 @@ def g2_user(session: Session, admin_token, api_client: TestClient):
         pass
 
 
-@fixture(scope="module")
-def unique_user(session: Session, api_client: TestClient):
+def _unique_user(session: Session, api_client: TestClient):
     registration = utils.user_registration_factory()
     response = api_client.post("/api/users/register", json=registration.model_dump(by_alias=True))
     assert response.status_code == 201
@@ -213,6 +212,16 @@ def unique_user(session: Session, api_client: TestClient):
         pass
 
 
+@fixture(scope="function")
+def unique_user_fn_scoped(session: Session, api_client: TestClient):
+    yield from _unique_user(session, api_client)
+
+
+@fixture(scope="module")
+def unique_user(session: Session, api_client: TestClient):
+    yield from _unique_user(session, api_client)
+
+
 @fixture(scope="module")
 def user_tuple(session: Session, admin_token, api_client: TestClient) -> Generator[list[utils.TestUser], None, None]:
     group_name = utils.random_string()