Fix f-strings missing f prefix

Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>

examples/sktime/flavor.py

@@ -218,7 +218,7 @@ def save_model(
             message=(
                 f"Unrecognized serialization format: {serialization_format}. "
                 "Please specify one of the following supported formats: "
-                "{SUPPORTED_SERIALIZATION_FORMATS}."
+                f"{SUPPORTED_SERIALIZATION_FORMATS}."
             ),
             error_code=INVALID_PARAMETER_VALUE,
         )

mlflow/gateway/providers/anthropic.py

@@ -67,7 +67,7 @@ def completions_to_model(cls, payload, config):
         if n != 1:
             raise HTTPException(
                 status_code=422,
-                detail="'n' must be '1' for the Anthropic provider. Received value: '{n}'.",
+                detail=f"'n' must be '1' for the Anthropic provider. Received value: '{n}'.",
             )
 
         payload = rename_payload_keys(payload, key_mapping)

mlflow/gateway/providers/bedrock.py

@@ -50,7 +50,7 @@ def completions_to_model(cls, payload, config):
         if n != 1:
             raise HTTPException(
                 status_code=422,
-                detail="'n' must be '1' for AWS Titan models. Received value: '{n}'.",
+                detail=f"'n' must be '1' for AWS Titan models. Received value: '{n}'.",
             )
 
         # The range of Titan's temperature is 0-1, but ours is 0-2, so we halve it

mlflow/recipes/cards/pandas_renderer.py

@@ -291,15 +291,14 @@ def construct_facets_html(
     protostr = base64.b64encode(proto.SerializeToString()).decode("utf-8")
     polyfills_code = get_facets_polyfills()
 
-    html_template = """
+    return f"""
         <div style="background-color: white">
         <script>{polyfills_code}</script>
         <script src="https://cdnjs.cloudflare.com/ajax/libs/webcomponentsjs/1.3.3/webcomponents-lite.js"></script>
         <link rel="import" href="https://raw.githubusercontent.com/PAIR-code/facets/1.0.0/facets-dist/facets-jupyter.html" >
         <facets-overview id="facets" proto-input="{protostr}" compare-mode="{compare}"></facets-overview>
         </div>
     """  # noqa: E501
-    return html_template.format(protostr=protostr, compare=compare, polyfills_code=polyfills_code)
 
 
 def get_html(inputs: Union[pd.DataFrame, Iterable[Tuple[str, pd.DataFrame]]]) -> str:

mlflow/tracking/client.py

@@ -3555,7 +3555,7 @@ def print_model_version_info(mv):
             )
             latest_versions = self.get_latest_versions(name, stages=[stage])
             if not latest_versions:
-                raise MlflowException("Could not find any model version for {stage} stage")
+                raise MlflowException(f"Could not find any model version for {stage} stage")
             version = latest_versions[0].version
         self._get_registry_client().delete_model_version_tag(name, version, key)
 

mlflow/transformers/signature.py

@@ -105,14 +105,14 @@ def infer_or_get_default_signature(
             if isinstance(e, MlflowTimeoutError):
                 msg = (
                     "Attempted to generate a signature for the saved pipeline but prediction timed "
-                    "out after {timeout} seconds. Falling back to the default signature for the "
+                    f"out after {timeout} seconds. Falling back to the default signature for the "
                     "pipeline. You can specify a signature manually or increase the timeout "
                     f"by setting the environment variable {MLFLOW_INPUT_EXAMPLE_INFERENCE_TIMEOUT}"
                 )
             else:
                 msg = (
                     "Attempted to generate a signature for the saved pipeline but encountered an "
-                    "error. Fall back to the default signature for the pipeline type. Error: {e}"
+                    f"error. Fall back to the default signature for the pipeline type. Error: {e}"
                 )
             _logger.warning(msg)
 

mlflow/utils/model_utils.py

@@ -220,12 +220,12 @@ def _validate_onnx_session_options(onnx_session_options):
             elif key == "execution_mode" and value.upper() not in ["PARALLEL", "SEQUENTIAL"]:
                 raise ValueError(
                     f"Value for key {key} in onnx_session_options should be "
-                    "'parallel' or 'sequential', not {value}"
+                    f"'parallel' or 'sequential', not {value}"
                 )
             elif key == "graph_optimization_level" and value not in [0, 1, 2, 99]:
                 raise ValueError(
                     f"Value for key {key} in onnx_session_options should be 0, 1, 2, or 99, "
-                    "not {value}"
+                    f"not {value}"
                 )
             elif key in ["intra_op_num_threads", "intra_op_num_threads"] and value < 0:
                 raise ValueError(

mlflow/utils/search_utils.py

@@ -519,7 +519,7 @@ def is_string_attribute(cls, key_type, key_name, comparator):
         if key_type == cls._ATTRIBUTE_IDENTIFIER and key_name not in cls.NUMERIC_ATTRIBUTES:
             if comparator not in cls.VALID_STRING_ATTRIBUTE_COMPARATORS:
                 raise MlflowException(
-                    "Invalid comparator '{comparator}' not one of "
+                    f"Invalid comparator '{comparator}' not one of "
                     f"'{cls.VALID_STRING_ATTRIBUTE_COMPARATORS}'"
                 )
             return True
@@ -932,7 +932,7 @@ def is_attribute(cls, key_type, comparator):
         if key_type == cls._ATTRIBUTE_IDENTIFIER:
             if comparator not in cls.VALID_STRING_ATTRIBUTE_COMPARATORS:
                 raise MlflowException(
-                    "Invalid comparator '{comparator}' not one of "
+                    f"Invalid comparator '{comparator}' not one of "
                     f"'{cls.VALID_STRING_ATTRIBUTE_COMPARATORS}'"
                 )
             return True

tests/store/tracking/test_file_store.py

@@ -2382,7 +2382,7 @@ def test_log_input_multiple_times_does_not_overwrite_tags_or_dataset(store):
         overwrite_dataset = Dataset(
             name="name",
             digest="digest",
-            source_type="st{i}",
+            source_type=f"st{i}",
             source=f"source{i}",
             schema=f"schema{i}",
             profile=f"profile{i}",