searxng/searx/engines/hackernews.py

95 lines
2.9 KiB
Python
Raw Normal View History

# SPDX-License-Identifier: AGPL-3.0-or-later
"""Hackernews
"""
from datetime import datetime
from urllib.parse import urlencode
from dateutil.relativedelta import relativedelta
from flask_babel import gettext
# Engine metadata
about = {
"website": "https://news.ycombinator.com/",
"wikidata_id": "Q686797",
"official_api_documentation": "https://hn.algolia.com/api",
"use_official_api": True,
"require_api_key": False,
"results": "JSON",
}
# Engine configuration
paging = True
time_range_support = True
categories = ["it"]
results_per_page = 30
# Search URL
base_url = "https://hn.algolia.com/api/v1"
def request(query, params):
search_type = 'search'
if not query:
# if search query is empty show results from HN's front page
search_type = 'search_by_date'
query_params = {
"tags": "front_page",
"page": (params["pageno"] - 1),
}
else:
query_params = {
"query": query,
"page": (params["pageno"] - 1),
"hitsPerPage": results_per_page,
"minWordSizefor1Typo": 4,
"minWordSizefor2Typos": 8,
"advancedSyntax": "true",
"ignorePlurals": "false",
"minProximity": 7,
"numericFilters": '[]',
"tagFilters": '["story",[]]',
"typoTolerance": "true",
"queryType": "prefixLast",
"restrictSearchableAttributes": '["title","comment_text","url","story_text","author"]',
"getRankingInfo": "true",
}
if params['time_range']:
search_type = 'search_by_date'
timestamp = (
# pylint: disable=unexpected-keyword-arg
datetime.now()
- relativedelta(**{f"{params['time_range']}s": 1}) # type: ignore
).timestamp()
query_params["numericFilters"] = f"created_at_i>{timestamp}"
params["url"] = f"{base_url}/{search_type}?{urlencode(query_params)}"
return params
def response(resp):
results = []
data = resp.json()
for hit in data["hits"]:
object_id = hit["objectID"]
2023-10-13 05:29:51 +00:00
points = hit.get("points") or 0
num_comments = hit.get("num_comments") or 0
metadata = ""
if points != 0 or num_comments != 0:
metadata = f"{gettext('points')}: {points}" f" | {gettext('comments')}: {num_comments}"
results.append(
{
2023-10-13 05:29:51 +00:00
"title": hit.get("title") or f"{gettext('author')}: {hit['author']}",
"url": f"https://news.ycombinator.com/item?id={object_id}",
2023-10-13 05:29:51 +00:00
"content": hit.get("url") or hit.get("comment_text") or hit.get("story_text") or "",
"metadata": metadata,
"author": hit["author"],
"publishedDate": datetime.utcfromtimestamp(hit["created_at_i"]),
}
)
return results