Support canary deployments

Author: gibchikafa

python/hsml/deployment.py

@@ -23,8 +23,6 @@
 from hsml.predictor_state import PredictorState
 from hsml.resources import Resources
 from hsml.inference_logger import InferenceLogger
-from hsml.inference_batcher import InferenceBatcher
-from hsml.transformer import Transformer
 
 from hsml.client.exceptions import ModelServingException
 from hsml.constants import DEPLOYABLE_COMPONENT, PREDICTOR_STATE
@@ -311,63 +309,6 @@ def predictor(self):
     def predictor(self, predictor):
         self._predictor = predictor
 
-    @property
-    def requested_instances(self):
-        """Total number of requested instances in the deployment."""
-        return self._predictor.requested_instances
-
-    # Single predictor
-
-    @property
-    def model_name(self):
-        """Name of the model deployed by the predictor"""
-        return self._predictor.model_name
-
-    @model_name.setter
-    def model_name(self, model_name: str):
-        self._predictor.model_name = model_name
-
-    @property
-    def model_path(self):
-        """Model path deployed by the predictor."""
-        return self._predictor.model_path
-
-    @model_path.setter
-    def model_path(self, model_path: str):
-        self._predictor.model_path = model_path
-
-    @property
-    def model_version(self):
-        """Model version deployed by the predictor."""
-        return self._predictor.model_version
-
-    @model_version.setter
-    def model_version(self, model_version: int):
-        self._predictor.model_version = model_version
-
-    @property
-    def artifact_version(self):
-        """Artifact version deployed by the predictor."""
-        return self._predictor.artifact_version
-
-    @artifact_version.setter
-    def artifact_version(self, artifact_version: Union[int, str]):
-        self._predictor.artifact_version = artifact_version
-
-    @property
-    def artifact_path(self):
-        """Path of the model artifact deployed by the predictor."""
-        return self._predictor.artifact_path
-
-    @property
-    def model_server(self):
-        """Model server ran by the predictor."""
-        return self._predictor.model_server
-
-    @model_server.setter
-    def model_server(self, model_server: str):
-        self._predictor.model_server = model_server
-
     @property
     def serving_tool(self):
         """Serving tool used to run the model server."""
@@ -377,23 +318,6 @@ def serving_tool(self):
     def serving_tool(self, serving_tool: str):
         self._predictor.serving_tool = serving_tool
 
-    @property
-    def script_file(self):
-        """Script file used by the predictor."""
-        return self._predictor.script_file
-
-    @script_file.setter
-    def script_file(self, script_file: str):
-        self._predictor.script_file = script_file
-
-    @property
-    def resources(self):
-        """Resource configuration for the predictor."""
-        return self._predictor.resources
-
-    @resources.setter
-    def resources(self, resources: Resources):
-        self._predictor.resources = resources
 
     @property
     def inference_logger(self):
@@ -404,23 +328,6 @@ def inference_logger(self):
     def inference_logger(self, inference_logger: InferenceLogger):
         self._predictor.inference_logger = inference_logger
 
-    @property
-    def inference_batcher(self):
-        """Configuration of the inference batcher attached to this predictor."""
-        return self._predictor.inference_batcher
-
-    @inference_batcher.setter
-    def inference_batcher(self, inference_batcher: InferenceBatcher):
-        self._predictor.inference_batcher = inference_batcher
-
-    @property
-    def transformer(self):
-        """Transformer configured in the predictor."""
-        return self._predictor.transformer
-
-    @transformer.setter
-    def transformer(self, transformer: Transformer):
-        self._predictor.transformer = transformer
 
     @property
     def created_at(self):