Support Flask 2.3 (#189)

* Constrain Flask

temp workaround to prevent the error after downgrading Flask as in #188 (better would be to support Flask 2.3 and not use deprecated features)

* Fix examples, support Flask 2.3

---------

Co-authored-by: Replit user <>

examples/web/authenticated.py

@@ -20,4 +20,4 @@ def test():
 
 
 if __name__ == "__main__":
-    web.run_app(app)
+    web.run(app)

examples/web/manual_auth.py

@@ -17,4 +17,4 @@ def index():
 
 
 if __name__ == "__main__":
-    web.run_app(app)
+    web.run(app)

examples/web/needs_params.py

@@ -45,4 +45,4 @@ def query(q):
 
 
 if __name__ == "__main__":
-    web.run_app(app)
+    web.run(app)

examples/web/ratelimit.py

@@ -19,4 +19,4 @@ def index():
 
 
 if __name__ == "__main__":
-    web.run_app(app)
+    web.run(app)

src/replit/web/app.py

@@ -59,7 +59,9 @@ def run(
 ) -> None:
     """A simple wrapper around app.run() with replit compatible defaults."""
     # don't clobber user
-    if change_encoder and app.json_encoder is flask.json.JSONEncoder:
+    if change_encoder and getattr(app, "json_encoder", None) is getattr(
+        flask.json, "json_encoder", None
+    ):
         app.json_encoder = DBJSONEncoder
     app.run(host=host, port=port, **kwargs)
 

src/replit/web/utils.py

@@ -179,7 +179,7 @@ def per_user_ratelimit(
     get_ratelimited_res: Callable[[float], str] = (
         lambda left: f"Too many requests, wait {left} sec"
     ),
-) -> Callable[[Callable], flask.Response]:
+) -> Callable[[Callable], Callable[[Callable], flask.Response]]:
     """Require sign in and limit the amount of requests each signed in user can perform.
 
     This decorator also calls needs_signin for you and passes the login_res kwarg
@@ -200,7 +200,7 @@ def per_user_ratelimit(
     last_reset = time.time()
     num_requests = {}
 
-    def decorator(func: Callable) -> flask.Response:
+    def decorator(func: Callable) -> Callable[..., flask.Response]:
         # Checks for signin first, before checking ratelimit
         @authenticated(login_res=login_res)
         @wraps(func)