Fix import/typing in updates.py

data/update.py

@@ -6,13 +6,10 @@ import urllib.request as request
 import os.path
 import math
 import contextlib as ctx
+import http.client as http
 
-from typing import Callable, Any, Optional, TYPE_CHECKING
+from typing import Callable, Any, Optional
 
-if TYPE_CHECKING:
-    from http.client import HTTPResponse
-    from zipfile import ZipFile
-    from sqlite3 import Connection as DBconnection
 
 # GTFS reference:
 # https://gtfs.org/schedule/reference/
@@ -151,7 +148,7 @@ def _get_file_names(etag: str):
     )
 
 
-def _fetch_dataset(response: HTTPResponse, dataset_file: str):
+def _fetch_dataset(response: http.HTTPResponse, dataset_file: str):
     print("Fetching dataset...")
     content_length = int(response.getheader("Content-Length"))
     with open(dataset_file, "wb") as zip_out:
@@ -164,7 +161,7 @@ def _fetch_dataset(response: HTTPResponse, dataset_file: str):
             print(f"Fetched: {zip_out.tell()}/{content_length} {progress}%")
 
 
-def _check_dataset_files(zip_in: ZipFile):
+def _check_dataset_files(zip_in: zipfile.ZipFile):
     csv_files = list(sorted(zip_in.namelist()))
     expected = list(sorted(csv_file for csv_file, _ in CSV_FIELDS))
 
@@ -179,13 +176,13 @@ def _check_csv_headers(csv_headers: list[str], fields: list[tuple[str, Any]]):
     assert all(a == b for a, b in zip(csv_headers, expected)), csv_headers
 
 
-def _create_schema(db: DBconnection, schema_file: str):
+def _create_schema(db: sqlite3.Connection, schema_file: str):
     with db:
         with open(schema_file) as sql_in:
             db.executescript(sql_in.read())
 
 
-def _load_data(zip_in: ZipFile, db: DBconnection):
+def _load_data(zip_in: zipfile.ZipFile, db: sqlite3.Connection):
     for csv_file, fields in CSV_FIELDS:
         if fields is None:
             continue
@@ -236,7 +233,7 @@ def _load_database(dataset_file: str, database_tempfile: str, schema_file: str):
 
 def main():
     print("Checking dataset")
-    response: HTTPResponse = request.urlopen(GTFS_URL)
+    response: http.HTTPResponse = request.urlopen(GTFS_URL)
     if response.status != 200:
         raise RuntimeError("Could not fetch the dataset")