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use from searx.engines.duckduckgo import _fetch_supported_languages, supported_languages_url # NOQA so it is possible to easily remove all unused import using autoflake: autoflake --in-place --recursive --remove-all-unused-imports searx tests
68 lines
1.8 KiB
Python
68 lines
1.8 KiB
Python
"""
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Digg (News, Social media)
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@website https://digg.com/
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@provide-api no
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@using-api no
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@results HTML (using search portal)
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@stable no (HTML can change)
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@parse url, title, content, publishedDate, thumbnail
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"""
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import random
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import string
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from json import loads
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from urllib.parse import urlencode
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from datetime import datetime
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# engine dependent config
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categories = ['news', 'social media']
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paging = True
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# search-url
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base_url = 'https://digg.com/'
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search_url = base_url + 'api/search/?{query}&from={position}&size=20&format=html'
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# specific xpath variables
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results_xpath = '//article'
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link_xpath = './/small[@class="time"]//a'
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title_xpath = './/h2//a//text()'
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content_xpath = './/p//text()'
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pubdate_xpath = './/time'
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digg_cookie_chars = string.ascii_uppercase + string.ascii_lowercase +\
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string.digits + "+_"
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# do search-request
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def request(query, params):
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offset = (params['pageno'] - 1) * 20
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params['url'] = search_url.format(position=offset,
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query=urlencode({'q': query}))
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params['cookies']['frontend.auid'] = ''.join(random.choice(
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digg_cookie_chars) for _ in range(22))
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return params
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# get response from search-request
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def response(resp):
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results = []
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search_result = loads(resp.text)
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# parse results
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for result in search_result['mapped']:
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published = datetime.strptime(result['created']['ISO'], "%Y-%m-%d %H:%M:%S")
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# append result
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results.append({'url': result['url'],
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'title': result['title'],
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'content': result['excerpt'],
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'template': 'videos.html',
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'publishedDate': published,
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'thumbnail': result['images']['thumbImage']})
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# return results
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return results
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