searxng/searx/engines/yummly.py

# SPDX-License-Identifier: AGPL-3.0-or-later
# lint: pylint
"""Yummly
"""

from urllib.parse import urlencode

from flask_babel import gettext
from searx.utils import markdown_to_text

about = {
    "website": 'https://yummly.com',
    "wikidata_id": 'Q8061140',
    # not used since it requires an api key
    "official_api_documentation": 'https://developer.yummly.com/documentation.html',
    "use_official_api": False,
    "require_api_key": False,
    "results": 'JSON',
}
paging = True
categories = []

api_url = "https://mapi.yummly.com"
number_of_results = 10
show_pro_recipes = False
base_url = "https://www.yummly.com"


def request(query, params):
    args = {
        'q': query,
        'start': (params['pageno'] - 1) * number_of_results,
        'maxResult': number_of_results,
    }

    params['url'] = f"{api_url}/mapi/v23/content/search?{urlencode(args)}&allowedContent=single_recipe"

    return params


def response(resp):
    results = []

    json = resp.json()

    for result in json['feed']:
        # don't show pro recipes since they can't be accessed without an account
        if not show_pro_recipes and result['proRecipe']:
            continue

        content = result['seo']['web']['meta-tags']['description']
        description = result['content']['description']
        if description is not None:
            content = markdown_to_text(description['text'])

        img_src = None
        if result['display']['images']:
            img_src = result['display']['images'][0]
        elif result['content']['details']['images']:
            img_src = result['content']['details']['images'][0]['resizableImageUrl']

        url = result['display']['source']['sourceRecipeUrl']
        if 'www.yummly.com/private' in url:
            url = base_url + '/' + result['tracking-id']

        results.append(
            {
                'url': url,
                'title': result['display']['displayName'],
                'content': content,
                'img_src': img_src,
                'metadata': f"{gettext('Language')}: {result['locale'].split('-')[0]}",
            }
        )

    for suggestion in json['relatedPhrases']['keywords']:
        results.append({'suggestion': suggestion})

    return results