dict-server/app/api/search_dict/routes.py

172 lines
5.3 KiB
Python

from typing import Literal, List
from fastapi import APIRouter, Depends, HTTPException, Request
from app.api.search_dict import service
from app.api.search_dict.search_schemas import SearchRequest, WordSearchResponse, SearchItemFr, SearchItemJp, \
ProverbSearchRequest
from app.api.search_dict.service import suggest_autocomplete
from app.api.word_comment.word_comment_schemas import CommentSet
from app.models import DefinitionJp, CommentFr, CommentJp
from app.models.fr import DefinitionFr
from app.utils.all_kana import all_in_kana
from app.utils.security import get_current_user
from app.utils.textnorm import normalize_text
dict_search = APIRouter()
async def __get_comments(
__query_word: str,
language: Literal["jp", "fr"]
) -> CommentSet:
if language == "fr":
comments = await (
CommentFr
.filter(comment_word__word=__query_word)
.select_related("user")
.order_by("-created_at")
)
commentlist = CommentSet(
comments=[
(
comment.user.id,
comment.user.name,
comment.comment_text
) for comment in comments
]
)
return commentlist
else:
comments = await (
CommentJp
.filter(comment_word__word=__query_word)
.select_related("user")
.order_by("-created_at")
)
commentlist = CommentSet(
comments=[
(
comment.user.id,
comment.user.name,
comment.comment_text,
) for comment in comments
]
)
return commentlist
@dict_search.post("/search/word", response_model=WordSearchResponse)
async def search(request: Request, body: SearchRequest, user=Depends(get_current_user)):
"""
精确搜索
:param request:
:param body: 单词是依据list返回清单中的内容动态更新对数据库text字段进行精确匹配的
:param user:
:return:
"""
query = body.query
if body.language == 'fr':
query = normalize_text(query)
word_contents = await (
DefinitionFr
.filter(word__text=query)
.prefetch_related("word")
)
if not word_contents:
raise HTTPException(status_code=404, detail="Word not found")
# 修改freq
first_word = word_contents[0].word
current_freq = first_word.freq
first_word.freq = current_freq + 1
await first_word.save()
pos_seen = set()
pos_contents = []
contents: List[SearchItemFr] = []
for wc in word_contents:
if wc.pos not in pos_seen:
pos_seen.add(wc.pos)
pos_contents.append(wc.pos)
contents.append(
SearchItemFr(
pos=wc.pos,
chi_exp=wc.meaning,
example=wc.example,
eng_explanation=wc.eng_explanation,
)
)
return WordSearchResponse(
query=query,
pos=pos_contents,
contents=contents,
)
else:
query_kana = all_in_kana(query)
print(query)
word_content = await DefinitionJp.filter(
word__text=query,
word__hiragana=query_kana,
).prefetch_related("word", "pos")
if not word_content:
raise HTTPException(status_code=404, detail="Word not found")
first_def = word_content[0]
first_word = first_def.word
first_word.freq = first_word.freq + 1
await first_word.save()
pos_list = await first_def.pos
pos_contents = [p.pos_type for p in pos_list]
contents: List[SearchItemJp] = []
for wc in word_content:
contents.append(
SearchItemJp(
chi_exp=wc.meaning,
example=wc.example,
)
)
return WordSearchResponse(
query=query,
pos=pos_contents,
contents=contents,
)
@dict_search.post("/search/proverb")
async def proverb(request: Request, proverb_id: int, user=Depends(get_current_user)):
"""
用于法语谚语搜索
:param request:
:param body: 要求用户输入的内容必须为法语
:param user:
:return:
"""
content = await service.accurate_proverb(proverb_id=proverb_id)
return content
# TODO 相关度排序(转换为模糊匹配)
# TODO 输入搜索框时反馈内容
@dict_search.post("/search/word/list")
async def search_word_list(query_word: SearchRequest, user=Depends(get_current_user)):
"""
检索时的提示接口
:param query_word: 用户输入的内容
:param user:
:return: 待选列表
"""
# print(query_word.query, query_word.language, query_word.sort, query_word.order)
word_contents = await suggest_autocomplete(query=query_word)
return {"list": word_contents}
@dict_search.post("/search/proverb/list")
async def search_proverb_list(query_word: ProverbSearchRequest, user=Depends(get_current_user)):
lang: Literal['fr', 'zh'] = 'zh' if service.contains_chinese(query_word.query) else 'fr'
suggest_proverbs = await service.suggest_proverb(query=query_word, lang=lang)
return {"list": suggest_proverbs}