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Implement models for searx/answerers
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
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9 changed files with 95 additions and 32 deletions
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@ -1,10 +1,14 @@
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# SPDX-License-Identifier: AGPL-3.0-or-later
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from __future__ import annotations
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import hashlib
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import random
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import string
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import uuid
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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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# required answerer attribute
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# specifies which search query keywords triggers this answerer
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@ -45,7 +49,7 @@ def random_color():
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return f"#{color.upper()}"
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random_types = {
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random_types: dict[str, Callable[[], str]] = {
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'string': random_string,
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'int': random_int,
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'float': random_float,
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@ -57,7 +61,7 @@ random_types = {
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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):
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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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@ -70,7 +74,7 @@ def answer(query):
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# required answerer function
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# returns information about the answerer
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def self_info():
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def self_info() -> AnswerSelfInfoDict:
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return {
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'name': gettext('Random value generator'),
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'description': gettext('Generate different random values'),
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