326 lines
11 KiB
Python
326 lines
11 KiB
Python
import random
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import re
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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 cookbook.helper.ingredient_parser import parse as parse_single_ingredient
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from cookbook.models import Keyword
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from django.utils.dateparse import parse_duration
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from recipe_scrapers._schemaorg import SchemaOrgException
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from recipe_scrapers._utils import get_minutes, normalize_string
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def get_from_scraper(scrape, space):
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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 scrape.schema.data.get('name') or '')
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except (TypeError, AttributeError):
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recipe_json['name'] = ''
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try:
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description = scrape.schema.data.get("description") or ''
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except AttributeError:
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description = ''
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recipe_json['description'] = parse_description(description)
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try:
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servings = scrape.yields()
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servings = int(re.findall(r'\b\d+\b', servings)[0])
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except (AttributeError, ValueError, IndexError):
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servings = 1
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recipe_json['servings'] = servings
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try:
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recipe_json['prepTime'] = get_minutes(scrape.schema.data.get("prepTime")) or 0
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except AttributeError:
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recipe_json['prepTime'] = 0
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try:
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recipe_json['cookTime'] = get_minutes(scrape.schema.data.get("cookTime")) or 0
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except AttributeError:
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recipe_json['cookTime'] = 0
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if recipe_json['cookTime'] + recipe_json['prepTime'] == 0:
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try:
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recipe_json['prepTime'] = get_minutes(scrape.total_time()) or 0
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except AttributeError:
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pass
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try:
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recipe_json['image'] = parse_image(scrape.image()) or ''
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except (AttributeError, TypeError, SchemaOrgException):
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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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if scrape.schema.data.get('recipeCategory'):
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keywords += listify_keywords(scrape.schema.data.get("recipeCategory"))
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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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recipe_json['keywords'] = parse_keywords(list(set(map(str.casefold, keywords))), space)
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except AttributeError:
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recipe_json['keywords'] = keywords
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try:
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ingredients = []
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for x in scrape.ingredients():
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try:
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amount, unit, ingredient, note = parse_single_ingredient(x)
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if ingredient:
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ingredients.append(
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{
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'amount': amount,
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'unit': {
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'text': unit,
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'id': random.randrange(10000, 99999)
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},
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'ingredient': {
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'text': ingredient,
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'id': random.randrange(10000, 99999)
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},
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'note': note,
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'original': x
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}
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)
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except Exception:
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ingredients.append(
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{
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'amount': 0,
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'unit': {
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'text': '',
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'id': random.randrange(10000, 99999)
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},
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'ingredient': {
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'text': x,
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'id': random.randrange(10000, 99999)
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},
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'note': '',
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'original': x
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}
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)
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recipe_json['recipeIngredient'] = ingredients
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except AttributeError:
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recipe_json['recipeIngredient'] = ingredients
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try:
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recipe_json['recipeInstructions'] = parse_instructions(scrape.instructions())
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except AttributeError:
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recipe_json['recipeInstructions'] = ""
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if scrape.url:
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recipe_json['url'] = scrape.url
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recipe_json['recipeInstructions'] += "\n\nImported from " + scrape.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_ingredients(ingredients):
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# some pages have comma separated ingredients in a single array entry
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try:
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if type(ingredients[0]) == dict:
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return ingredients
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except (KeyError, IndexError):
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pass
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if (len(ingredients) == 1 and type(ingredients) == list):
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ingredients = ingredients[0].split(',')
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elif type(ingredients) == str:
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ingredients = ingredients.split(',')
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for x in ingredients:
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if '\n' in x:
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ingredients.remove(x)
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for i in x.split('\n'):
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ingredients.insert(0, i)
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ingredient_list = []
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for x in ingredients:
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if x.replace(' ', '') != '':
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x = x.replace('½', "0.5").replace('¼', "0.25").replace('¾', "0.75")
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try:
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amount, unit, ingredient, note = parse_single_ingredient(x)
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if ingredient:
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ingredient_list.append(
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{
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'amount': amount,
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'unit': {
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'text': unit,
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'id': random.randrange(10000, 99999)
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},
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'ingredient': {
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'text': ingredient,
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'id': random.randrange(10000, 99999)
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},
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'note': note,
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'original': x
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}
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)
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except Exception:
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ingredient_list.append(
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{
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'amount': 0,
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'unit': {
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'text': '',
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'id': random.randrange(10000, 99999)
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},
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'ingredient': {
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'text': x,
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'id': random.randrange(10000, 99999)
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},
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'note': '',
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'original': x
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}
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)
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ingredients = ingredient_list
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else:
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ingredients = []
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return ingredients
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def parse_description(description):
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description = re.sub(r'\n\s*\n', '\n\n', description)
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description = re.sub(' +', ' ', description)
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description = re.sub('</p>', '\n', description)
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description = re.sub('<[^<]+?>', '', description)
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return normalize_string(description)
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def parse_instructions(instructions):
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instruction_text = ''
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# flatten instructions if they are in a 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_text += i
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else:
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if 'text' in i:
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instruction_text += i['text'] + '\n\n'
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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_text += ile + '\n\n'
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elif 'text' in ile:
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instruction_text += ile['text'] + '\n\n'
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else:
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instruction_text += str(i)
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instructions = instruction_text
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instructions = re.sub(r'\n\s*\n', '\n\n', instructions)
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instructions = re.sub(' +', ' ', instructions)
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instructions = re.sub('</p>', '\n', instructions)
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instructions = re.sub('<[^<]+?>', '', instructions)
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return normalize_string(instructions)
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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 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_cooktime(cooktime):
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if type(cooktime) not in [int, float]:
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try:
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cooktime = float(re.search(r'\d+', cooktime).group())
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except (ValueError, AttributeError):
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try:
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cooktime = round(iso_parse_duration(cooktime).seconds / 60)
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except ISO8601Error:
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try:
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if (type(cooktime) == list and len(cooktime) > 0):
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cooktime = cooktime[0]
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cooktime = round(parse_duration(cooktime).seconds / 60)
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except AttributeError:
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cooktime = 0
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return cooktime
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def parse_preptime(preptime):
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if type(preptime) not in [int, float]:
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try:
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preptime = float(re.search(r'\d+', preptime).group())
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except ValueError:
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try:
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preptime = round(iso_parse_duration(preptime).seconds / 60)
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except ISO8601Error:
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try:
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if (type(preptime) == list and len(preptime) > 0):
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preptime = preptime[0]
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preptime = round(parse_duration(preptime).seconds / 60)
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except AttributeError:
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preptime = 0
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return preptime
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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({'id': str(k.id), 'text': str(k)})
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else:
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keywords.append({'id': random.randrange(1111111, 9999999, 1), 'text': 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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