mirror of
https://github.com/searxng/searxng.git
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82fd0dac60
This patch implements lazy loading of the JSON data. Motivation: in most requests not all JSON data is needed, but loaded. By example these four JSON files: - currencies.json ~550KB - engine_descriptions.json ~1,3MB - external_bangs.json ~1,3MB - osm_keys_tags.json ~ 2,2MB most often not used and consume a lot of memory and BTW they also extend the time required to instantiate a walker. Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Calculate mathematical expressions using ack#eval
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"""
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from flask_babel import gettext
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from searx import data
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name = "Unit converter plugin"
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description = gettext("Convert between units")
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default_on = True
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CONVERT_KEYWORDS = ["in", "to", "as"]
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def _convert(from_value, source_si_factor, target_si_factor):
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return from_value * source_si_factor / target_si_factor
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def _parse_text_and_convert(search, splitted_query):
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if len(splitted_query) != 2 or splitted_query[0].strip() == "" or splitted_query[1].strip() == "":
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return
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from_value = ""
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from_unit_key = ""
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# only parse digits as value that belong together
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read_alpha = False
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for c in splitted_query[0]:
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if not read_alpha and (c in ("-", ".") or str.isdigit(c)):
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from_value += c
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read_alpha = True
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elif c != " ":
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from_unit_key += c
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to_unit_key = splitted_query[1].strip()
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from_unit = None
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to_unit = None
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for unit in data.WIKIDATA_UNITS.values():
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if unit['symbol'] == from_unit_key:
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from_unit = unit
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if unit['symbol'] == to_unit_key:
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to_unit = unit
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if from_unit and to_unit:
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break
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if from_unit is None or to_unit is None or to_unit.get('si_name') != from_unit.get('si_name'):
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return
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result = _convert(float(from_value), from_unit['to_si_factor'], to_unit['to_si_factor'])
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search.result_container.answers['conversion'] = {'answer': f"{result:g} {to_unit['symbol']}"}
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def post_search(_request, search):
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# only convert between units on the first page
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if search.search_query.pageno > 1:
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return True
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query = search.search_query.query
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query_parts = query.split(" ")
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if len(query_parts) < 3:
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return True
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for query_part in query_parts:
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for keyword in CONVERT_KEYWORDS:
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if query_part == keyword:
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keyword_split = query.split(keyword, 1)
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_parse_text_and_convert(search, keyword_split)
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return True
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return True
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