2023-09-08 08:40:48 +02:00
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# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Yummly
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"""
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from urllib.parse import urlencode
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from flask_babel import gettext
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from searx.utils import markdown_to_text
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about = {
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"website": 'https://yummly.com',
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"wikidata_id": 'Q8061140',
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# not used since it requires an api key
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"official_api_documentation": 'https://developer.yummly.com/documentation.html',
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"use_official_api": False,
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"require_api_key": False,
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"results": 'JSON',
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}
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paging = True
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categories = []
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api_url = "https://mapi.yummly.com"
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number_of_results = 10
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show_pro_recipes = False
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base_url = "https://www.yummly.com"
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def request(query, params):
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args = {
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'q': query,
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'start': (params['pageno'] - 1) * number_of_results,
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'maxResult': number_of_results,
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}
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params['url'] = f"{api_url}/mapi/v23/content/search?{urlencode(args)}&allowedContent=single_recipe"
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return params
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def response(resp):
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results = []
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json = resp.json()
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for result in json['feed']:
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# don't show pro recipes since they can't be accessed without an account
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if not show_pro_recipes and result['proRecipe']:
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continue
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content = result['seo']['web']['meta-tags']['description']
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description = result['content']['description']
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if description is not None:
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content = markdown_to_text(description['text'])
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2024-05-12 17:52:52 +02:00
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thumbnail = None
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2023-09-08 08:40:48 +02:00
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if result['display']['images']:
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2024-05-12 17:52:52 +02:00
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thumbnail = result['display']['images'][0]
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2023-09-08 08:40:48 +02:00
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elif result['content']['details']['images']:
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2024-05-12 17:52:52 +02:00
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thumbnail = result['content']['details']['images'][0]['resizableImageUrl']
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2023-09-08 08:40:48 +02:00
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url = result['display']['source']['sourceRecipeUrl']
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if 'www.yummly.com/private' in url:
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url = base_url + '/' + result['tracking-id']
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results.append(
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{
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'url': url,
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'title': result['display']['displayName'],
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'content': content,
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2024-05-12 17:52:52 +02:00
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'thumbnail': thumbnail,
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2024-04-21 15:52:26 +02:00
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'metadata': gettext('Language') + f": {result['locale'].split('-')[0]}",
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2023-09-08 08:40:48 +02:00
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}
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)
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for suggestion in json['relatedPhrases']['keywords']:
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results.append({'suggestion': suggestion})
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return results
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