mirror of
https://github.com/searxng/searxng.git
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95 lines
2.9 KiB
Python
95 lines
2.9 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Hackernews
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"""
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from datetime import datetime
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from urllib.parse import urlencode
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from dateutil.relativedelta import relativedelta
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from flask_babel import gettext
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# Engine metadata
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about = {
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"website": "https://news.ycombinator.com/",
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"wikidata_id": "Q686797",
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"official_api_documentation": "https://hn.algolia.com/api",
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"use_official_api": True,
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"require_api_key": False,
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"results": "JSON",
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}
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# Engine configuration
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paging = True
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time_range_support = True
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categories = ["it"]
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results_per_page = 30
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# Search URL
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base_url = "https://hn.algolia.com/api/v1"
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def request(query, params):
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search_type = 'search'
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if not query:
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# if search query is empty show results from HN's front page
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search_type = 'search_by_date'
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query_params = {
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"tags": "front_page",
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"page": (params["pageno"] - 1),
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}
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else:
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query_params = {
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"query": query,
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"page": (params["pageno"] - 1),
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"hitsPerPage": results_per_page,
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"minWordSizefor1Typo": 4,
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"minWordSizefor2Typos": 8,
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"advancedSyntax": "true",
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"ignorePlurals": "false",
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"minProximity": 7,
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"numericFilters": '[]',
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"tagFilters": '["story",[]]',
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"typoTolerance": "true",
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"queryType": "prefixLast",
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"restrictSearchableAttributes": '["title","comment_text","url","story_text","author"]',
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"getRankingInfo": "true",
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}
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if params['time_range']:
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search_type = 'search_by_date'
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timestamp = (
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# pylint: disable=unexpected-keyword-arg
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datetime.now()
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- relativedelta(**{f"{params['time_range']}s": 1}) # type: ignore
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).timestamp()
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query_params["numericFilters"] = f"created_at_i>{timestamp}"
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params["url"] = f"{base_url}/{search_type}?{urlencode(query_params)}"
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return params
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def response(resp):
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results = []
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data = resp.json()
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for hit in data["hits"]:
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object_id = hit["objectID"]
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points = hit.get("points") or 0
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num_comments = hit.get("num_comments") or 0
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metadata = ""
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if points != 0 or num_comments != 0:
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metadata = f"{gettext('points')}: {points}" f" | {gettext('comments')}: {num_comments}"
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results.append(
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{
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"title": hit.get("title") or f"{gettext('author')}: {hit['author']}",
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"url": f"https://news.ycombinator.com/item?id={object_id}",
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"content": hit.get("url") or hit.get("comment_text") or hit.get("story_text") or "",
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"metadata": metadata,
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"author": hit["author"],
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"publishedDate": datetime.fromtimestamp(hit["created_at_i"]),
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}
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)
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return results
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