73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
import re
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from typing import Optional
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from ingredients import match_existing_products, parse_ingredient_from_nlp
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from persons import Person
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from recipes.db import (
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Recipe as Recipe,
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find_recipe_by_id as find_recipe_by_id,
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find_recipes_by_name as find_recipes_by_name,
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get_all as get_all,
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hide_recipe as hide_recipe,
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insert_recipe as insert_recipe,
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load_recipe_ingredients as load_recipe_ingredients,
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row_to_recipe as row_to_recipe,
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)
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from recipes.scraping import scrape_recipe_ldata as _scrape_recipe_ldata
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async def parse_recipe(conn, created_by: Person, url: str) -> Optional[Recipe]:
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ldata = await _scrape_recipe_ldata(url)
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if ldata:
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return await _get_recipe_from_ldata(conn, url, ldata, created_by)
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return None
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def find_yield(recipe_ldata: dict) -> int:
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if "recipeYield" in recipe_ldata:
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yield_vals = recipe_ldata["recipeYield"]
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if not isinstance(yield_vals, list):
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yield_vals = [yield_vals]
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for val in yield_vals:
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try:
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return int(val)
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except ValueError:
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pass
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for val in yield_vals:
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match = re.match(r"(\d+)", val)
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if match:
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return int(match.group(1))
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return 4
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async def _get_recipe_from_ldata(conn, url: str, ldata: dict, created_by: Person) -> Recipe:
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ingredients = [
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parse_ingredient_from_nlp(ingredient) for ingredient in ldata["recipeIngredient"]
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]
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ingredients = await match_existing_products(conn, ingredients)
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name = ldata["name"] if "name" in ldata else url
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images = ldata["image"] if "image" in ldata else []
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serves = find_yield(ldata)
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if isinstance(images, list) and len(images) > 0 and isinstance(images[0], dict):
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images = [image["url"] for image in images]
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if isinstance(images, dict):
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images = [images["url"]]
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if isinstance(images, str):
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images = [images]
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return Recipe(
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id=0,
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name=name,
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link=url,
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serves=serves,
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image_urls=images,
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ingredients=ingredients,
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created_by=created_by,
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created_by_id=created_by.id,
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)
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