mirror of
https://github.com/searxng/searxng.git
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fed105b09e
sort froms Import List from typing to support Python 3.8 Use SearchQuery model Remove list for List use Dict instead of dict Use RawTextQuery instead of SearchQuery, type a dict, and remove unecessary str() method in webapp improve docstring, remove test code Implement a BaseQuery class and use that, improve answerer tests based on updated types Add back sys fix new linting issues add space Update answerer.py - use dict use future annotations use BaseQuery for RawTextQuery
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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from __future__ import annotations
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from functools import reduce
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from operator import mul
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from flask_babel import gettext
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from typing import Callable
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from searx.answerers.models import AnswerDict, AnswerSelfInfoDict
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from searx.search.models import BaseQuery
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keywords = ('min', 'max', 'avg', 'sum', 'prod')
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stastistics_map: dict[str, Callable[[list[float]], float]] = {
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'min': lambda args: min(args),
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'max': lambda args: max(args),
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'avg': lambda args: sum(args) / len(args),
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'sum': lambda args: sum(args),
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'prod': lambda args: reduce(mul, args, 1),
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}
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# required answerer function
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# can return a list of results (any result type) for a given query
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def answer(query: BaseQuery) -> list[AnswerDict]:
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parts = query.query.split()
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if len(parts) < 2:
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return []
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try:
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args: list[float] = list(map(float, parts[1:]))
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except Exception:
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return []
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func = parts[0]
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if func not in stastistics_map:
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return []
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return [{'answer': str(stastistics_map[func](args))}]
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# required answerer function
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# returns information about the answerer
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def self_info() -> AnswerSelfInfoDict:
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return {
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'name': gettext('Statistics functions'),
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'description': gettext('Compute {functions} of the arguments').format(functions='/'.join(keywords)),
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'examples': ['avg 123 548 2.04 24.2'],
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}
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