from recipes.db import Recipe, insert_recipe, find_recipe_by_id, get_all, find_recipes_by_name, row_to_recipe, load_recipe_ingredients, hide_recipe
from recipes.scraping import scrape_recipe_ldata as _scrape_recipe_ldata
from ingredients import parse_ingredient_from_nlp as _parse_ingredient_from_nlp, match_existing_products as _match_existing_products

async def parse_recipe(conn, url: str) -> Recipe:
    ldata = await _scrape_recipe_ldata(url)
    if ldata:
        return await _get_recipe_from_ldata(conn, url, ldata)
    return None
    
async def _get_recipe_from_ldata(conn, url: str, ldata: dict) -> dict:
    ingredients = _parse_ingredient_from_nlp(ldata['recipeIngredient'])
    ingredients = await _match_existing_products(conn, ingredients)
    name = ldata['name'] if 'name' in ldata else url
    images = ldata['image'] if 'image' in ldata else []
    
    if isinstance(images, list) and len(images) > 0 and isinstance(images[0], dict):
        images = [image['url'] for image in images]

    if isinstance(images, dict):
        images = [images['url']]

    if isinstance(images, str):
        images = [images]

    return Recipe(
        id=0,
        name=name,
        link=url,
        image_urls=images,
        ingredients=ingredients
    )