munch-ease-backend/ingredients/db.py

197 lines
6.7 KiB
Python

from typing import Any, AsyncIterator, ClassVar, List, Optional, Dict
from pydantic import field_validator, Field
from common import ApiModel
from products import Product
from units import ALL_UNITS
class Ingredient(ApiModel):
KEYS: ClassVar[List[str]] = [
"id",
"name",
"line",
"preparation",
"unit",
"quantity",
"product_id",
"recipe_id",
"meal_id",
]
id: int = -1
name: str
line: str
unit: str = Field(
title="Unit",
description="Measurement unit (enum values are advisory; runtime accepts any string)",
json_schema_extra={"enum": [u.name for u in ALL_UNITS]},
)
quantity: float | str
preparation: str
product_id: Optional[int] = None
recipe_id: Optional[int] = None
meal_id: Optional[int] = None
product: Optional[Product] = None
# Ensure quantity is stored as a float even if provided as a string in tests
@field_validator("quantity", mode="before")
@classmethod
def _coerce_quantity(cls, v: Any) -> Any:
if isinstance(v, str):
try:
return float(v)
except ValueError:
return v
return v
async def create(conn):
await conn.execute(
"""
CREATE TABLE IF NOT EXISTS Ingredient (
id INTEGER PRIMARY KEY,
name TEXT,
line TEXT,
preparation TEXT,
unit TEXT,
quantity REAL,
product_id INTEGER,
recipe_id INTEGER,
meal_id INTEGER,
FOREIGN KEY (product_id) REFERENCES Product(id),
FOREIGN KEY (recipe_id) REFERENCES Recipe(id),
FOREIGN KEY (meal_id) REFERENCES Meal(id)
);"""
)
# Useful indexes
await conn.execute("CREATE INDEX IF NOT EXISTS idx_ingredient_recipe_id ON Ingredient(recipe_id);")
await conn.execute("CREATE INDEX IF NOT EXISTS idx_ingredient_meal_id ON Ingredient(meal_id);")
async def insert_ingredient(conn, ingredient: Ingredient):
if ingredient.product:
ingredient.product_id = ingredient.product.id
if ingredient.product_id is None or ingredient.product_id < 0:
ingredient.product_id = None
async with conn.execute(
"""
INSERT INTO Ingredient (name, line, preparation, unit, quantity, product_id, recipe_id, meal_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""",
(
ingredient.name,
ingredient.line,
ingredient.preparation,
ingredient.unit,
ingredient.quantity,
ingredient.product_id,
ingredient.recipe_id,
ingredient.meal_id,
),
) as cursor:
ingredient.id = cursor.lastrowid
async def find_ingredient_by_id(conn, ingredient_id: int) -> Optional[Ingredient]:
ingredient_cols = [f"ingredient.{key}" for key in Ingredient.KEYS]
product_cols = [f"product.{key}" for key in Product.KEYS]
async with conn.execute(
f"""
SELECT {','.join(ingredient_cols + product_cols)} FROM Ingredient
LEFT JOIN Product ON Ingredient.product_id = Product.id
WHERE Ingredient.id = ?
""",
(ingredient_id,),
) as cursor:
async for row in cursor:
product_map = {k: v for k, v in zip(Product.KEYS, row[len(Ingredient.KEYS) :])}
product = Product(**product_map) if product_map["id"] else None
return Ingredient(
**{k: v for k, v in zip(Ingredient.KEYS, row[: len(Ingredient.KEYS)])},
product=product,
)
return None
async def find_ingredients_by_recipe_id(conn, recipe_id: int) -> AsyncIterator[Ingredient]:
ingredient_cols = [f"ingredient.{key}" for key in Ingredient.KEYS]
product_cols = [f"product.{key}" for key in Product.KEYS]
async with conn.execute(
f"""
SELECT {','.join(ingredient_cols + product_cols)} FROM Ingredient
LEFT JOIN Product ON Ingredient.product_id = Product.id
WHERE recipe_id = ?
""",
(recipe_id,),
) as cursor:
async for row in cursor:
product_map = {k: v for k, v in zip(Product.KEYS, row[len(Ingredient.KEYS) :])}
product = Product(**product_map) if product_map["id"] else None
yield Ingredient(
**{k: v for k, v in zip(Ingredient.KEYS, row[: len(Ingredient.KEYS)])},
product=product,
)
async def find_ingredients_by_recipe_ids(conn, recipe_ids: List[int]) -> dict[int, List[Ingredient]]:
"""Fetch ingredients for many recipes in one query. Returns recipe_id -> [Ingredient]."""
if not recipe_ids:
return {}
placeholders = ",".join(["?"] * len(recipe_ids))
ingredient_cols = [f"ingredient.{key}" for key in Ingredient.KEYS]
product_cols = [f"product.{key}" for key in Product.KEYS]
query = f"""
SELECT {','.join(ingredient_cols + product_cols)}
FROM Ingredient AS ingredient
LEFT JOIN Product AS product ON ingredient.product_id = product.id
WHERE ingredient.recipe_id IN ({placeholders})
ORDER BY ingredient.recipe_id, ingredient.id
"""
result: dict[int, List[Ingredient]] = {rid: [] for rid in recipe_ids}
async with conn.execute(query, recipe_ids) as cursor:
async for row in cursor:
product_map = {k: v for k, v in zip(Product.KEYS, row[len(Ingredient.KEYS) :])}
product = Product(**product_map) if product_map["id"] else None
ing = Ingredient(
**{k: v for k, v in zip(Ingredient.KEYS, row[: len(Ingredient.KEYS)])},
product=product,
)
if ing.recipe_id is not None:
result.setdefault(int(ing.recipe_id), []).append(ing)
return result
async def find_ingredients_by_meal_id(conn, meal_id: int) -> AsyncIterator[Ingredient]:
ingredient_cols = [f"ingredient.{key}" for key in Ingredient.KEYS]
product_cols = [f"product.{key}" for key in Product.KEYS]
async with conn.execute(
f"""
SELECT {','.join(ingredient_cols + product_cols)} FROM Ingredient
LEFT JOIN Product ON Ingredient.product_id = Product.id
WHERE meal_id = ?
""",
(meal_id,),
) as cursor:
async for row in cursor:
product_map = {k: v for k, v in zip(Product.KEYS, row[len(Ingredient.KEYS) :])}
product = Product(**product_map) if product_map["id"] else None
yield Ingredient(
**{k: v for k, v in zip(Ingredient.KEYS, row[: len(Ingredient.KEYS)])},
product=product,
)
async def delete_ingredients_by_meal_id(conn, meal_id: int):
await conn.execute(
"""
DELETE FROM Ingredient
WHERE meal_id = ?
""",
(meal_id,),
)