mirror of
https://github.com/searxng/searxng.git
synced 2024-11-19 10:50:09 +01:00
69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
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# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""DeStatis
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"""
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from urllib.parse import urlencode
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from lxml import html
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from searx.utils import eval_xpath, eval_xpath_list, extract_text
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about = {
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'website': 'https://www.destatis.de',
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'official_api_documentation': 'https://destatis.api.bund.dev/',
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'use_official_api': False,
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'require_api_key': False,
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'results': 'HTML',
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'language': 'de',
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}
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categories = []
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paging = True
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base_url = "https://www.destatis.de"
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search_url = f"{base_url}/SiteGlobals/Forms/Suche/Expertensuche_Formular.html"
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# pylint: disable-next=line-too-long
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results_xpath = '//div[contains(@class, "l-content-wrapper")]/div[contains(@class, "row")]/div[contains(@class, "column")]/div[contains(@class, "c-result"){extra}]'
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results_xpath_filter_recommended = " and not(contains(@class, 'c-result--recommended'))"
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url_xpath = './/a/@href'
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title_xpath = './/a/text()'
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date_xpath = './/a/span[contains(@class, "c-result__date")]'
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content_xpath = './/div[contains(@class, "column")]/p/text()'
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doctype_xpath = './/div[contains(@class, "c-result__doctype")]/p'
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def request(query, params):
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args = {
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'templateQueryString': query,
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'gtp': f"474_list%3D{params['pageno']}",
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}
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params['url'] = f"{search_url}?{urlencode(args)}"
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return params
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def response(resp):
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results = []
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dom = html.fromstring(resp.text)
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# filter out suggested results on further page because they're the same on each page
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extra_xpath = results_xpath_filter_recommended if resp.search_params['pageno'] > 1 else ''
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res_xpath = results_xpath.format(extra=extra_xpath)
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for result in eval_xpath_list(dom, res_xpath):
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doctype = extract_text(eval_xpath(result, doctype_xpath))
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date = extract_text(eval_xpath(result, date_xpath))
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metadata = [meta for meta in (doctype, date) if meta != ""]
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results.append(
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{
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'url': base_url + "/" + extract_text(eval_xpath(result, url_xpath)),
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'title': extract_text(eval_xpath(result, title_xpath)),
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'content': extract_text(eval_xpath(result, content_xpath)),
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'metadata': ', '.join(metadata),
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}
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)
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return results
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