Modernise

great_ai/deploy/routes/bootstrap_feedback_endpoints.py

@@ -31,7 +31,7 @@ def bootstrap_feedback_endpoints(app: FastAPI) -> None:
         return trace.feedback
 
     @router.delete("/", status_code=status.HTTP_204_NO_CONTENT)
-    def delete_feedback(trace_id: str) -> Any:
+    def delete_feedback(trace_id: str) -> Response:
         trace = get_context().tracing_database.get(trace_id)
         if trace is None:
             raise HTTPException(status_code=status.HTTP_404_NOT_FOUND)

great_ai/deploy/routes/bootstrap_prediction_endpoint.py

@@ -22,10 +22,10 @@ def bootstrap_prediction_endpoint(
         try:
             if inspect.iscoroutinefunction(func):
                 return await cast(Callable[..., Awaitable[Trace]], func)(
-                    **cast(BaseModel, input_value).dict()
+                    **cast(BaseModel, input_value).model_dump()
                 )
             return cast(Callable[..., Trace], func)(
-                **cast(BaseModel, input_value).dict()
+                **cast(BaseModel, input_value).model_dump()
             )
         except Exception as e:
             raise HTTPException(

great_ai/deploy/routes/dashboard/create_dash_app.py

@@ -26,9 +26,9 @@ def create_dash_app(function_name: str, version: str, function_docs: str) -> Fla
     app = Dash(
         function_name,
         requests_pathname_prefix=DASHBOARD_PATH + "/",
-        server=Flask(__name__),
+        server=Flask(__name__),  # type: ignore[arg-type]
         title=function_name,
-        update_title=None,
+        update_title=None,  # type: ignore[arg-type]
         external_stylesheets=[
             "/assets/index.css",
         ],
@@ -64,9 +64,9 @@ def create_dash_app(function_name: str, version: str, function_docs: str) -> Fla
     interval = dcc.Interval(
         interval=2 * 1000,  # in milliseconds
         n_intervals=0,
-        max_intervals=1
-        if get_context().is_production
-        else -1,  # will be incremented in production upon each successful request
+        max_intervals=(
+            1 if get_context().is_production else -1
+        ),  # will be incremented in production upon each successful request
     )
 
     app.layout = html.Main(
@@ -159,7 +159,7 @@ def create_dash_app(function_name: str, version: str, function_docs: str) -> Fla
             take=page_size,
             conjunctive_filters=non_null_conjunctive_filters,
             conjunctive_tags=[ONLINE_TAG_NAME],
-            sort_by=[SortBy.parse_obj(s) for s in sort_by],
+            sort_by=[SortBy.model_validate(s) for s in sort_by],
         )
 
         if non_null_conjunctive_filters:
@@ -244,7 +244,7 @@ def update_charts(
     fig.update_layout(
         margin=dict(l=0, r=0, b=0, t=0, pad=0),
     )
-    execution_time_histogram.figure = fig
+    execution_time_histogram.figure = fig  # type: ignore[attr-defined]
 
     parallel_coords_fig = go.Figure(
         go.Parcoords(

great_ai/deploy/routes/dashboard/get_description.py

@@ -16,8 +16,7 @@ def get_description(
                 style={"color": accent_color},
             ),
             dcc.Markdown(
-                strip_lines(
-                    f"""
+                strip_lines(f"""
                     > View the live data of your deployment here.
 
                     ## Using the API
@@ -27,8 +26,7 @@ def get_description(
                     ## Details
 
                     {function_docs}
-                """
-                ),
+                """),
                 className="description",
             ),
         ]

great_ai/deploy/routes/dashboard/get_traces_table.py

@@ -1,10 +1,12 @@
+from typing import Any
+
 from dash import dash_table
 
 from ....context import get_context
 
 
-def get_traces_table() -> dash_table.DataTable:
-    return dash_table.DataTable(
+def get_traces_table() -> Any:
+    return dash_table.DataTable(  # type: ignore[attr-defined]
         page_current=0,
         page_size=get_context().dashboard_table_size,
         page_action="custom",