329 lines
11 KiB
Python
329 lines
11 KiB
Python
import random
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import re
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from html import unescape
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from unicodedata import decomposition
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from django.utils.dateparse import parse_duration
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from django.utils.translation import gettext as _
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from isodate import parse_duration as iso_parse_duration
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from isodate.isoerror import ISO8601Error
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from recipe_scrapers._utils import get_minutes
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from cookbook.helper import recipe_url_import as helper
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from cookbook.helper.ingredient_parser import IngredientParser
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from cookbook.models import Keyword
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# from recipe_scrapers._utils import get_minutes ## temporary until/unless upstream incorporates get_minutes() PR
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def get_from_scraper(scrape, request):
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# converting the scrape_me object to the existing json format based on ld+json
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recipe_json = {}
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try:
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recipe_json['name'] = parse_name(scrape.title() or None)
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except Exception:
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recipe_json['name'] = None
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if not recipe_json['name']:
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try:
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recipe_json['name'] = scrape.schema.data.get('name') or ''
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except Exception:
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recipe_json['name'] = ''
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try:
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description = scrape.description() or None
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except Exception:
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description = None
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if not description:
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try:
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description = scrape.schema.data.get("description") or ''
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except Exception:
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description = ''
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recipe_json['internal'] = True
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try:
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servings = scrape.yields() or None
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except Exception:
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servings = None
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if not servings:
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try:
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servings = scrape.schema.data.get('recipeYield') or 1
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except Exception:
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servings = 1
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recipe_json['servings'] = parse_servings(servings)
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recipe_json['servings_text'] = parse_servings_text(servings)
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try:
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recipe_json['working_time'] = get_minutes(scrape.prep_time()) or 0
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except Exception:
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try:
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recipe_json['working_time'] = get_minutes(scrape.schema.data.get("prepTime")) or 0
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except Exception:
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recipe_json['working_time'] = 0
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try:
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recipe_json['waiting_time'] = get_minutes(scrape.cook_time()) or 0
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except Exception:
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try:
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recipe_json['waiting_time'] = get_minutes(scrape.schema.data.get("cookTime")) or 0
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except Exception:
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recipe_json['waiting_time'] = 0
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if recipe_json['working_time'] + recipe_json['waiting_time'] == 0:
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try:
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recipe_json['working_time'] = get_minutes(scrape.total_time()) or 0
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except Exception:
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try:
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recipe_json['working_time'] = get_minutes(scrape.schema.data.get("totalTime")) or 0
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except Exception:
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pass
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try:
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recipe_json['image'] = parse_image(scrape.image()) or None
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except Exception:
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recipe_json['image'] = None
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if not recipe_json['image']:
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try:
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recipe_json['image'] = parse_image(scrape.schema.data.get('image')) or ''
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except Exception:
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recipe_json['image'] = ''
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keywords = []
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try:
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if scrape.schema.data.get("keywords"):
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keywords += listify_keywords(scrape.schema.data.get("keywords"))
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except Exception:
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pass
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try:
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if scrape.category():
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keywords += listify_keywords(scrape.category())
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except Exception:
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try:
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if scrape.schema.data.get('recipeCategory'):
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keywords += listify_keywords(scrape.schema.data.get("recipeCategory"))
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except Exception:
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pass
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try:
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if scrape.cuisine():
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keywords += listify_keywords(scrape.cuisine())
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except Exception:
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try:
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if scrape.schema.data.get('recipeCuisine'):
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keywords += listify_keywords(scrape.schema.data.get("recipeCuisine"))
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except Exception:
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pass
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try:
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recipe_json['keywords'] = parse_keywords(list(set(map(str.casefold, keywords))), request.space)
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except AttributeError:
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recipe_json['keywords'] = keywords
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ingredient_parser = IngredientParser(request, True)
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recipe_json['steps'] = []
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for i in parse_instructions(scrape.instructions()):
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recipe_json['steps'].append({'instruction': i, 'ingredients': [], })
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if len(recipe_json['steps']) == 0:
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recipe_json['steps'].append({'instruction': '', 'ingredients': [], })
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if len(parse_description(description)) > 256: # split at 256 as long descriptions dont look good on recipe cards
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recipe_json['steps'][0]['instruction'] = f'*{parse_description(description)}* \n\n' + recipe_json['steps'][0]['instruction']
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else:
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recipe_json['description'] = parse_description(description)[:512]
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try:
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for x in scrape.ingredients():
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try:
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amount, unit, ingredient, note = ingredient_parser.parse(x)
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recipe_json['steps'][0]['ingredients'].append(
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{
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'amount': amount,
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'unit': {
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'name': unit,
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},
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'food': {
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'name': ingredient,
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},
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'note': note,
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'original_text': x
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}
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)
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except Exception:
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recipe_json['steps'][0]['ingredients'].append(
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{
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'amount': 0,
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'unit': None,
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'food': {
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'name': x,
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},
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'note': '',
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'original_text': x
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}
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)
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except Exception:
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pass
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if scrape.canonical_url():
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recipe_json['source_url'] = scrape.canonical_url()
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return recipe_json
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def parse_name(name):
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if type(name) == list:
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try:
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name = name[0]
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except Exception:
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name = 'ERROR'
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return normalize_string(name)
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def parse_description(description):
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return normalize_string(description)
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def clean_instruction_string(instruction):
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normalized_string = normalize_string(instruction)
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normalized_string = normalized_string.replace('\n', ' \n')
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normalized_string = normalized_string.replace(' \n \n', '\n\n')
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return normalized_string
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def parse_instructions(instructions):
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"""
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Convert arbitrary instructions object from website import and turn it into a flat list of strings
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:param instructions: any instructions object from import
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:return: list of strings (from one to many elements depending on website)
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"""
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instruction_list = []
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if type(instructions) == list:
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for i in instructions:
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if type(i) == str:
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instruction_list.append(clean_instruction_string(i))
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else:
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if 'text' in i:
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instruction_list.append(clean_instruction_string(i['text']))
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elif 'itemListElement' in i:
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for ile in i['itemListElement']:
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if type(ile) == str:
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instruction_list.append(clean_instruction_string(ile))
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elif 'text' in ile:
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instruction_list.append(clean_instruction_string(ile['text']))
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else:
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instruction_list.append(clean_instruction_string(str(i)))
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else:
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instruction_list.append(clean_instruction_string(instructions))
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return instruction_list
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def parse_image(image):
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# check if list of images is returned, take first if so
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if not image:
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return None
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if type(image) == list:
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for pic in image:
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if (type(pic) == str) and (pic[:4] == 'http'):
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image = pic
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elif 'url' in pic:
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image = pic['url']
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elif type(image) == dict:
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if 'url' in image:
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image = image['url']
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# ignore relative image paths
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if image[:4] != 'http':
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image = ''
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return image
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def parse_servings(servings):
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if type(servings) == str:
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try:
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servings = int(re.search(r'\d+', servings).group())
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except AttributeError:
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servings = 1
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elif type(servings) == list:
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try:
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servings = int(re.findall(r'\b\d+\b', servings[0])[0])
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except KeyError:
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servings = 1
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return servings
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def parse_servings_text(servings):
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if type(servings) == str:
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try:
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servings = re.sub("\d+", '', servings).strip()
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except Exception:
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servings = ''
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return servings
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def parse_time(recipe_time):
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if type(recipe_time) not in [int, float]:
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try:
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recipe_time = float(re.search(r'\d+', recipe_time).group())
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except (ValueError, AttributeError):
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try:
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recipe_time = round(iso_parse_duration(recipe_time).seconds / 60)
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except ISO8601Error:
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try:
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if (type(recipe_time) == list and len(recipe_time) > 0):
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recipe_time = recipe_time[0]
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recipe_time = round(parse_duration(recipe_time).seconds / 60)
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except AttributeError:
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recipe_time = 0
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return recipe_time
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def parse_keywords(keyword_json, space):
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keywords = []
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# keywords as list
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for kw in keyword_json:
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kw = normalize_string(kw)
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if len(kw) != 0:
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if k := Keyword.objects.filter(name=kw, space=space).first():
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keywords.append({'label': str(k), 'name': k.name, 'id': k.id})
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else:
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keywords.append({'label': kw, 'name': kw})
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return keywords
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def listify_keywords(keyword_list):
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# keywords as string
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try:
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if type(keyword_list[0]) == dict:
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return keyword_list
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except (KeyError, IndexError):
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pass
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if type(keyword_list) == str:
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keyword_list = keyword_list.split(',')
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# keywords as string in list
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if (type(keyword_list) == list and len(keyword_list) == 1 and ',' in keyword_list[0]):
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keyword_list = keyword_list[0].split(',')
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return [x.strip() for x in keyword_list]
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def normalize_string(string):
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# Convert all named and numeric character references (e.g. >, >)
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unescaped_string = unescape(string)
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unescaped_string = re.sub('<[^<]+?>', '', unescaped_string)
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unescaped_string = re.sub(' +', ' ', unescaped_string)
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unescaped_string = re.sub('</p>', '\n', unescaped_string)
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unescaped_string = re.sub(r'\n\s*\n', '\n\n', unescaped_string)
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unescaped_string = unescaped_string.replace("\xa0", " ").replace("\t", " ").strip()
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return unescaped_string
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def iso_duration_to_minutes(string):
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match = re.match(
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r'P((?P<years>\d+)Y)?((?P<months>\d+)M)?((?P<weeks>\d+)W)?((?P<days>\d+)D)?T((?P<hours>\d+)H)?((?P<minutes>\d+)M)?((?P<seconds>\d+)S)?',
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string
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).groupdict()
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return int(match['days'] or 0) * 24 * 60 + int(match['hours'] or 0) * 60 + int(match['minutes'] or 0)
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