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Use basedpyright refactor

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marc
2025-03-22 23:06:34 +01:00
parent ac54453b7f
commit 2f7c7c2429
41 changed files with 480 additions and 381 deletions
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9
folkugat_web/services/temes/search.py
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@@ -1,7 +1,7 @@
import functools
import time
import typing
from collections.abc import Callable, Iterable, Iterator
from collections.abc import Callable, Iterable
import Levenshtein
from folkugat_web.config import search as config
@@ -12,7 +12,7 @@ from folkugat_web.model import search as search_model
from folkugat_web.model import temes as model
def get_query_word_similarity(query_word: str, text_ngrams: model.NGrams) -> search_model.SearchMatch:
def get_query_word_similarity(query_word: str, text_ngrams: search_model.NGrams) -> search_model.SearchMatch:
n = len(query_word)
if n < config.MIN_NGRAM_LENGTH:
return search_model.SearchMatch(distance=0.0, ngram='')
@@ -27,13 +27,13 @@ def get_query_word_similarity(query_word: str, text_ngrams: model.NGrams) -> sea
default=search_model.SearchMatch(distance=float("inf"), ngram=""))
def get_query_similarity(query: str, ngrams: model.NGrams) -> search_model.SearchMatch:
def get_query_similarity(query: str, ngrams: search_model.NGrams) -> search_model.SearchMatch:
query_words = query.lower().split()
word_matches = map(lambda query_word: get_query_word_similarity(query_word, ngrams), query_words)
return search_model.SearchMatch.combine_matches(word_matches)
def build_result(query: str, entry: tuple[int, model.NGrams]) -> search_model.QueryResult:
def build_result(query: str, entry: tuple[int, search_model.NGrams]) -> search_model.QueryResult:
if len(query) == 0:
return search_model.QueryResult(
id=entry[0],
@@ -51,6 +51,7 @@ def build_result(query: str, entry: tuple[int, model.NGrams]) -> search_model.Qu
T = typing.TypeVar("T")
@typing.no_type_check
def _thread(it: Iterable[T], *funcs: Callable[[Iterable], Iterable]) -> Iterable:
return functools.reduce(lambda i, fn: fn(i), funcs, it)