mirror of
https://github.com/mealie-recipes/mealie.git
synced 2025-11-08 21:16:28 -05:00
363 lines
12 KiB
Python
363 lines
12 KiB
Python
import time
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from abc import ABC, abstractmethod
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from collections.abc import Callable
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from typing import Any
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import bs4
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import extruct
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from fastapi import HTTPException, status
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from httpx import AsyncClient
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from recipe_scrapers import NoSchemaFoundInWildMode, SchemaScraperFactory, scrape_html
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from slugify import slugify
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from w3lib.html import get_base_url
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from mealie.core.config import get_app_settings
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from mealie.core.root_logger import get_logger
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from mealie.lang.providers import Translator
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from mealie.pkgs import safehttp
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from mealie.schema.recipe.recipe import Recipe, RecipeStep
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from mealie.services.openai import OpenAIService
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from mealie.services.scraper.scraped_extras import ScrapedExtras
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from . import cleaner
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try:
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from recipe_scrapers._abstract import HEADERS
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_FIREFOX_UA = HEADERS["User-Agent"]
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except (ImportError, KeyError):
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_FIREFOX_UA = "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:123.0) Gecko/20100101 Firefox/123.0"
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SCRAPER_TIMEOUT = 15
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class ForceTimeoutException(Exception):
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pass
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async def safe_scrape_html(url: str) -> str:
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"""
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Scrapes the html from a url but will cancel the request
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if the request takes longer than 15 seconds. This is used to mitigate
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DDOS attacks from users providing a url with arbitrary large content.
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"""
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async with AsyncClient(transport=safehttp.AsyncSafeTransport()) as client:
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html_bytes = b""
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async with client.stream(
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"GET", url, timeout=SCRAPER_TIMEOUT, headers={"User-Agent": _FIREFOX_UA}, follow_redirects=True
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) as resp:
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start_time = time.time()
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async for chunk in resp.aiter_bytes(chunk_size=1024):
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html_bytes += chunk
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if time.time() - start_time > SCRAPER_TIMEOUT:
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raise ForceTimeoutException()
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# =====================================
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# Copied from requests text property
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# Try charset from content-type
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content = None
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encoding = resp.encoding
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if not html_bytes:
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return ""
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# Fallback to auto-detected encoding.
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if encoding is None:
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encoding = resp.apparent_encoding
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# Decode unicode from given encoding.
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try:
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content = str(html_bytes, encoding, errors="replace")
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except (LookupError, TypeError):
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# A LookupError is raised if the encoding was not found which could
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# indicate a misspelling or similar mistake.
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#
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# A TypeError can be raised if encoding is None
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#
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# So we try blindly encoding.
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content = str(html_bytes, errors="replace")
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return content
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class ABCScraperStrategy(ABC):
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"""
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Abstract class for all recipe parsers.
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"""
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url: str
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def __init__(
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self,
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url: str,
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translator: Translator,
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raw_html: str | None = None,
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) -> None:
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self.logger = get_logger()
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self.url = url
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self.raw_html = raw_html
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self.translator = translator
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@abstractmethod
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async def get_html(self, url: str) -> str: ...
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@abstractmethod
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async def parse(self) -> tuple[Recipe, ScrapedExtras] | tuple[None, None]:
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"""Parse a recipe from a web URL.
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Args:
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recipe_url (str): Full URL of the recipe to scrape.
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Returns:
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Recipe: Recipe object.
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"""
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...
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class RecipeScraperPackage(ABCScraperStrategy):
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async def get_html(self, url: str) -> str:
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return self.raw_html or await safe_scrape_html(url)
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def clean_scraper(self, scraped_data: SchemaScraperFactory.SchemaScraper, url: str) -> tuple[Recipe, ScrapedExtras]:
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def try_get_default(
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func_call: Callable | None,
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get_attr: str,
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default: Any,
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clean_func=None,
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**clean_func_kwargs,
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):
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value = default
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if func_call:
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try:
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value = func_call()
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except Exception:
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self.logger.error(f"Error parsing recipe func_call for '{get_attr}'")
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if value == default:
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try:
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value = scraped_data.schema.data.get(get_attr)
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except Exception:
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self.logger.error(f"Error parsing recipe attribute '{get_attr}'")
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if clean_func:
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value = clean_func(value, **clean_func_kwargs)
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return value
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def get_instructions() -> list[RecipeStep]:
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instruction_as_text = try_get_default(
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scraped_data.instructions,
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"recipeInstructions",
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["No Instructions Found"],
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)
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self.logger.debug(f"Scraped Instructions: (Type: {type(instruction_as_text)}) \n {instruction_as_text}")
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instruction_as_text = cleaner.clean_instructions(instruction_as_text)
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self.logger.debug(f"Cleaned Instructions: (Type: {type(instruction_as_text)}) \n {instruction_as_text}")
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try:
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return [RecipeStep(title="", text=x.get("text")) for x in instruction_as_text]
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except TypeError:
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return []
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cook_time = try_get_default(
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None, "performTime", None, cleaner.clean_time, translator=self.translator
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) or try_get_default(None, "cookTime", None, cleaner.clean_time, translator=self.translator)
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extras = ScrapedExtras()
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extras.set_tags(try_get_default(None, "keywords", "", cleaner.clean_tags))
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recipe = Recipe(
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name=try_get_default(scraped_data.title, "name", "No Name Found", cleaner.clean_string),
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slug="",
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image=try_get_default(None, "image", None, cleaner.clean_image),
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description=try_get_default(None, "description", "", cleaner.clean_string),
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nutrition=try_get_default(None, "nutrition", None, cleaner.clean_nutrition),
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recipe_yield=try_get_default(scraped_data.yields, "recipeYield", "1", cleaner.clean_string),
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recipe_ingredient=try_get_default(
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scraped_data.ingredients,
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"recipeIngredient",
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[""],
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cleaner.clean_ingredients,
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),
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recipe_instructions=get_instructions(),
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total_time=try_get_default(None, "totalTime", None, cleaner.clean_time, translator=self.translator),
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prep_time=try_get_default(None, "prepTime", None, cleaner.clean_time, translator=self.translator),
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perform_time=cook_time,
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org_url=url,
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)
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return recipe, extras
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async def scrape_url(self) -> SchemaScraperFactory.SchemaScraper | Any | None:
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recipe_html = await self.get_html(self.url)
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try:
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scraped_schema = scrape_html(recipe_html, org_url=self.url)
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except (NoSchemaFoundInWildMode, AttributeError):
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self.logger.error(f"Recipe Scraper was unable to extract a recipe from {self.url}")
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return None
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except ConnectionError as e:
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raise HTTPException(status.HTTP_400_BAD_REQUEST, {"details": "CONNECTION_ERROR"}) from e
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# Check to see if the recipe is valid
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try:
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ingredients = scraped_schema.ingredients()
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except Exception:
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ingredients = []
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try:
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instruct: list | str = scraped_schema.instructions()
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except Exception:
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instruct = []
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if instruct or ingredients:
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return scraped_schema
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self.logger.debug(f"Recipe Scraper [Package] was unable to extract a recipe from {self.url}")
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return None
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async def parse(self):
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"""
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Parse a recipe from a given url.
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"""
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scraped_data = await self.scrape_url()
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if scraped_data is None:
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return None
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return self.clean_scraper(scraped_data, self.url)
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class RecipeScraperOpenAI(RecipeScraperPackage):
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"""
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A wrapper around the `RecipeScraperPackage` class that uses OpenAI to extract the recipe from the URL,
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rather than trying to scrape it directly.
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"""
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def find_image(self, soup: bs4.BeautifulSoup) -> str | None:
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# find the open graph image tag
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og_image = soup.find("meta", property="og:image")
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if og_image and og_image.get("content"):
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return og_image["content"]
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# find the largest image on the page
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largest_img = None
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max_size = 0
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for img in soup.find_all("img"):
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width = img.get("width", 0)
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height = img.get("height", 0)
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if not width or not height:
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continue
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try:
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size = int(width) * int(height)
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except (ValueError, TypeError):
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size = 1
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if size > max_size:
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max_size = size
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largest_img = img
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if largest_img:
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return largest_img.get("src")
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return None
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def format_html_to_text(self, html: str) -> str:
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soup = bs4.BeautifulSoup(html, "lxml")
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text = soup.get_text(separator="\n", strip=True)
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if not text:
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raise Exception("No text found in HTML")
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try:
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image = self.find_image(soup)
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except Exception:
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image = None
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components = [f"Convert this content to JSON: {text}"]
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if image:
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components.append(f"Recipe Image: {image}")
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return "\n".join(components)
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async def get_html(self, url: str) -> str:
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settings = get_app_settings()
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if not settings.OPENAI_ENABLED:
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return ""
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html = self.raw_html or await safe_scrape_html(url)
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text = self.format_html_to_text(html)
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try:
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service = OpenAIService()
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prompt = service.get_prompt("recipes.scrape-recipe")
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response_json = await service.get_response(prompt, text, force_json_response=True)
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return (
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"<!DOCTYPE html><html><head>"
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f'<script type="application/ld+json">{response_json}</script>'
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"</head><body></body></html>"
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)
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except Exception:
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self.logger.exception(f"OpenAI was unable to extract a recipe from {url}")
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return ""
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class RecipeScraperOpenGraph(ABCScraperStrategy):
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async def get_html(self, url: str) -> str:
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return self.raw_html or await safe_scrape_html(url)
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def get_recipe_fields(self, html) -> dict | None:
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"""
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Get the recipe fields from the Open Graph data.
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"""
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def og_field(properties: dict, field_name: str) -> str:
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return next((val for name, val in properties if name == field_name), "")
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def og_fields(properties: list[tuple[str, str]], field_name: str) -> list[str]:
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return list({val for name, val in properties if name == field_name})
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base_url = get_base_url(html, self.url)
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data = extruct.extract(html, base_url=base_url, errors="log")
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try:
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properties = data["opengraph"][0]["properties"]
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except Exception:
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return None
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return {
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"name": og_field(properties, "og:title"),
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"description": og_field(properties, "og:description"),
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"image": og_field(properties, "og:image"),
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"recipeYield": "",
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"recipeIngredient": ["Could not detect ingredients"],
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"recipeInstructions": [{"text": "Could not detect instructions"}],
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"slug": slugify(og_field(properties, "og:title")),
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"orgURL": self.url,
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"categories": [],
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"tags": og_fields(properties, "og:article:tag"),
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"dateAdded": None,
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"notes": [],
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"extras": [],
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}
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async def parse(self):
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"""
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Parse a recipe from a given url.
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"""
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html = await self.get_html(self.url)
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og_data = self.get_recipe_fields(html)
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if og_data is None:
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return None
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return Recipe(**og_data), ScrapedExtras()
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