117 lines
3.9 KiB
Python
117 lines
3.9 KiB
Python
import asyncio
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from typing import List, Literal, Tuple
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from tortoise import Tortoise
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from tortoise.expressions import Q
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from app.models import WordlistFr, WordlistJp
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from app.schemas.search_schemas import SearchRequest
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from app.utils.all_kana import all_in_kana
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from app.utils.textnorm import normalize_text
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from settings import TORTOISE_ORM
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async def suggest_autocomplete(query: SearchRequest, limit: int = 10) -> List[Tuple[str, str]]:
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"""
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:param query: 当前用户输入的内容
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:param limit: 返回列表限制长度
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:return: 联想的单词列表（非完整信息，单纯单词）
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"""
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if query.language == 'fr':
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query_word = normalize_text(query.query)
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exact = await (
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WordlistFr
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.get_or_none(text=query.query)
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.values("text", "freq")
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)
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if exact:
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exact_word = [(exact.get("text"), exact.get("freq"))]
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else:
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exact_word = []
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qs_prefix = (
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WordlistFr
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.filter(Q(search_text__startswith=query_word) | Q(text__startswith=query.query))
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.exclude(text=query.query)
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.only("text", "freq")
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)
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prefix_objs = await qs_prefix[:limit]
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prefix: List[Tuple[str, int]] = [(o.text, o.freq) for o in prefix_objs]
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need = max(0, limit - len(prefix))
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contains: List[Tuple[str, int]] = []
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if need > 0:
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qs_contain = (
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WordlistFr
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.filter(Q(search_text__icontains=query_word) | Q(text__icontains=query.query))
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.exclude(Q(search_text__startswith=query_word) | Q(text__startswith=query.query) | Q(text=query.query))
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.only("text", "freq")
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.only("text", "freq")
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)
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contains_objs = await qs_contain[: need * 2]
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contains = [(o.text, o.freq) for o in contains_objs]
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else:
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query_word = all_in_kana(query.query)
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exact = await (
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WordlistJp
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.get_or_none(
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text=query.query
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)
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.only("text", "hiragana", "freq")
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)
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if exact:
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exact_word = [(exact.text, exact.hiragana, exact.freq)]
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else:
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exact_word = []
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qs_prefix = (
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WordlistJp
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.filter(Q(hiragana__startswith=query_word) | Q(text__startswith=query.query))
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.exclude(text=query.query)
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.only("text", "hiragana", "freq")
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)
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prefix_objs = await qs_prefix[:limit]
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prefix: List[Tuple[str, str, int]] = [(o.text, o.hiragana, o.freq) for o in prefix_objs]
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need = max(0, limit - len(prefix))
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contains: List[Tuple[str, str, int]] = []
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if need > 0:
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qs_contain = await (
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WordlistJp
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.filter(Q(hiragana__icontains=query_word) | Q(text__icontains=query.query))
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.exclude(Q(hiragana__startswith=query_word) | Q(text__startswith=query.query) | Q(text=query.query))
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.only("text", "hiragana", "freq")
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)
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contains_objs = qs_contain[:need * 2]
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contains: List[Tuple[str, str, int]] = [(o.text, o.hiragana, o.freq) for o in contains_objs]
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seen_text, out = set(), []
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for text, hiragana, freq in list(exact_word) + list(prefix) + list(contains):
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key = (text, hiragana)
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if key not in seen_text:
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seen_text.add(key)
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out.append((text, hiragana, freq))
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if len(out) >= limit:
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break
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out = sorted(out, key=lambda w: (-w[2], len(w[0]), w[0]))
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return [(text, hiragana) for text, hiragana, _ in out]
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async def __test():
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query_word: str = '愛'
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language: Literal['fr', 'jp'] = 'jp'
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return await suggest_autocomplete(SearchRequest(query=query_word, language=language))
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async def __main():
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await Tortoise.init(config=TORTOISE_ORM)
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print(await __test())
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if __name__ == '__main__':
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asyncio.run(__main())
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