Use basedpyright refactor

folkugat_web/services/temes/links.py

@@ -24,7 +24,7 @@ LINK_RES = {
 }
 
 
-def guess_link_type(url: str) -> Optional[model.LinkType]:
+def guess_link_type(url: str) -> model.LinkType | None:
     for link_type, regexes in LINK_RES.items():
         for regex in regexes:
             if regex.match(url):

folkugat_web/services/temes/query.py

@@ -4,5 +4,5 @@ from folkugat_web.dal.sql.temes import query as temes_q
 from folkugat_web.model import temes as model
 
 
-def get_tema_by_id(tema_id: int) -> Optional[model.Tema]:
+def get_tema_by_id(tema_id: int) -> model.Tema | None:
     return temes_q.get_tema_by_id(tema_id)

folkugat_web/services/temes/search.py

@@ -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)