AQUA 1.0.5

ads/aqua/extension/deployment_handler.py

@@ -54,6 +54,33 @@ def get(self, id=""):
         else:
             raise HTTPError(400, f"The request {self.request.path} is invalid.")
 
+    @handle_exceptions
+    def delete(self, model_deployment_id):
+        return self.finish(AquaDeploymentApp().delete(model_deployment_id))
+
+    @handle_exceptions
+    def put(self, *args, **kwargs):
+        """
+        Handles put request for the activating and deactivating OCI datascience model deployments
+        Raises
+        ------
+        HTTPError
+            Raises HTTPError if inputs are missing or are invalid
+        """
+        url_parse = urlparse(self.request.path)
+        paths = url_parse.path.strip("/").split("/")
+        if len(paths) != 4 or paths[0] != "aqua" or paths[1] != "deployments":
+            raise HTTPError(400, f"The request {self.request.path} is invalid.")
+
+        model_deployment_id = paths[2]
+        action = paths[3]
+        if action == "activate":
+            return self.finish(AquaDeploymentApp().activate(model_deployment_id))
+        elif action == "deactivate":
+            return self.finish(AquaDeploymentApp().deactivate(model_deployment_id))
+        else:
+            raise HTTPError(400, f"The request {self.request.path} is invalid.")
+
     @handle_exceptions
     def post(self, *args, **kwargs):
         """
@@ -270,5 +297,7 @@ def post(self, *args, **kwargs):
     ("deployments/?([^/]*)/params", AquaDeploymentParamsHandler),
     ("deployments/config/?([^/]*)", AquaDeploymentHandler),
     ("deployments/?([^/]*)", AquaDeploymentHandler),
+    ("deployments/?([^/]*)/activate", AquaDeploymentHandler),
+    ("deployments/?([^/]*)/deactivate", AquaDeploymentHandler),
     ("inference", AquaDeploymentInferenceHandler),
 ]

ads/aqua/extension/errors.py

@@ -8,3 +8,4 @@ class Errors(str):
     NO_INPUT_DATA = "No input data provided."
     MISSING_REQUIRED_PARAMETER = "Missing required parameter: '{}'"
     MISSING_ONEOF_REQUIRED_PARAMETER = "Either '{}' or '{}' is required."
+    INVALID_VALUE_OF_PARAMETER = "Invalid value of parameter: '{}'"

ads/aqua/extension/model_handler.py

@@ -9,7 +9,10 @@
 
 from ads.aqua.common.decorator import handle_exceptions
 from ads.aqua.common.errors import AquaRuntimeError, AquaValueError
-from ads.aqua.common.utils import get_hf_model_info, list_hf_models
+from ads.aqua.common.utils import (
+    get_hf_model_info,
+    list_hf_models,
+)
 from ads.aqua.extension.base_handler import AquaAPIhandler
 from ads.aqua.extension.errors import Errors
 from ads.aqua.model import AquaModelApp
@@ -73,6 +76,8 @@ def delete(self, id=""):
         paths = url_parse.path.strip("/")
         if paths.startswith("aqua/model/cache"):
             return self.finish(AquaModelApp().clear_model_list_cache())
+        elif id:
+            return self.finish(AquaModelApp().delete_model(id))
         else:
             raise HTTPError(400, f"The request {self.request.path} is invalid.")
 
@@ -139,6 +144,36 @@ def post(self, *args, **kwargs):
             )
         )
 
+    @handle_exceptions
+    def put(self, id):
+        try:
+            input_data = self.get_json_body()
+        except Exception as ex:
+            raise HTTPError(400, Errors.INVALID_INPUT_DATA_FORMAT) from ex
+
+        if not input_data:
+            raise HTTPError(400, Errors.NO_INPUT_DATA)
+
+        inference_container = input_data.get("inference_container")
+        inference_containers = AquaModelApp.list_valid_inference_containers()
+        if (
+            inference_container is not None
+            and inference_container not in inference_containers
+        ):
+            raise HTTPError(
+                400, Errors.INVALID_VALUE_OF_PARAMETER.format("inference_container")
+            )
+
+        enable_finetuning = input_data.get("enable_finetuning")
+        task = input_data.get("task")
+        app=AquaModelApp()
+        self.finish(
+            app.edit_registered_model(
+                id, inference_container, enable_finetuning, task
+            )
+        )
+        app.clear_model_details_cache(model_id=id)
+
 
 class AquaModelLicenseHandler(AquaAPIhandler):
     """Handler for Aqua Model license REST APIs."""

ads/aqua/model/model.py

@@ -10,11 +10,15 @@
 import oci
 from cachetools import TTLCache
 from huggingface_hub import snapshot_download
-from oci.data_science.models import JobRun, Model
+from oci.data_science.models import JobRun, Metadata, Model, UpdateModelDetails
 
 from ads.aqua import ODSC_MODEL_COMPARTMENT_OCID, logger
 from ads.aqua.app import AquaApp
-from ads.aqua.common.enums import InferenceContainerTypeFamily, Tags
+from ads.aqua.common.enums import (
+    FineTuningContainerTypeFamily,
+    InferenceContainerTypeFamily,
+    Tags,
+)
 from ads.aqua.common.errors import AquaRuntimeError, AquaValueError
 from ads.aqua.common.utils import (
     LifecycleStatus,
@@ -23,6 +27,7 @@
     create_word_icon,
     generate_tei_cmd_var,
     get_artifact_path,
+    get_container_config,
     get_hf_model_info,
     list_os_files_with_extension,
     load_config,
@@ -78,7 +83,11 @@
     TENANCY_OCID,
 )
 from ads.model import DataScienceModel
-from ads.model.model_metadata import ModelCustomMetadata, ModelCustomMetadataItem
+from ads.model.model_metadata import (
+    MetadataCustomCategory,
+    ModelCustomMetadata,
+    ModelCustomMetadataItem,
+)
 from ads.telemetry import telemetry
 
 
@@ -333,6 +342,96 @@ def get(self, model_id: str, load_model_card: Optional[bool] = True) -> "AquaMod
 
         return model_details
 
+    @telemetry(entry_point="plugin=model&action=delete", name="aqua")
+    def delete_model(self, model_id):
+        ds_model = DataScienceModel.from_id(model_id)
+        is_registered_model = ds_model.freeform_tags.get(Tags.BASE_MODEL_CUSTOM, None)
+        is_fine_tuned_model = ds_model.freeform_tags.get(
+            Tags.AQUA_FINE_TUNED_MODEL_TAG, None
+        )
+        if is_registered_model or is_fine_tuned_model:
+            return ds_model.delete()
+        else:
+            raise AquaRuntimeError(
+                f"Failed to delete model:{model_id}. Only registered models or finetuned model can be deleted."
+            )
+
+    @telemetry(entry_point="plugin=model&action=delete", name="aqua")
+    def edit_registered_model(self, id, inference_container, enable_finetuning, task):
+        """Edits the default config of unverified registered model.
+
+        Parameters
+        ----------
+        id: str
+            The model OCID.
+        inference_container: str.
+            The inference container family name
+        enable_finetuning: str
+            Flag to enable or disable finetuning over the model. Defaults to None
+        task:
+            The usecase type of the model. e.g , text-generation , text_embedding etc.
+
+        Returns
+        -------
+        Model:
+            The instance of oci.data_science.models.Model.
+
+        """
+        ds_model = DataScienceModel.from_id(id)
+        if ds_model.freeform_tags.get(Tags.BASE_MODEL_CUSTOM, None):
+            if ds_model.freeform_tags.get(Tags.AQUA_SERVICE_MODEL_TAG, None):
+                raise AquaRuntimeError(
+                    f"Failed to edit model:{id}. Only registered unverified models can be edited."
+                )
+            else:
+                custom_metadata_list = ds_model.custom_metadata_list
+                freeform_tags = ds_model.freeform_tags
+                if inference_container:
+                    custom_metadata_list.add(
+                        key=ModelCustomMetadataFields.DEPLOYMENT_CONTAINER,
+                        value=inference_container,
+                        category=MetadataCustomCategory.OTHER,
+                        description="Deployment container mapping for SMC",
+                        replace=True,
+                    )
+                if enable_finetuning is not None:
+                    if enable_finetuning.lower() == "true":
+                        custom_metadata_list.add(
+                            key=ModelCustomMetadataFields.FINETUNE_CONTAINER,
+                            value=FineTuningContainerTypeFamily.AQUA_FINETUNING_CONTAINER_FAMILY,
+                            category=MetadataCustomCategory.OTHER,
+                            description="Fine-tuning container mapping for SMC",
+                            replace=True,
+                        )
+                        freeform_tags.update({Tags.READY_TO_FINE_TUNE: "true"})
+                    elif enable_finetuning.lower() == "false":
+                        try:
+                            custom_metadata_list.remove(
+                                ModelCustomMetadataFields.FINETUNE_CONTAINER
+                            )
+                            freeform_tags.pop(Tags.READY_TO_FINE_TUNE)
+                        except Exception as ex:
+                            raise AquaRuntimeError(
+                                f"The given model already doesn't support finetuning: {ex}"
+                            )
+
+                custom_metadata_list.remove("modelDescription")
+                if task:
+                    freeform_tags.update({Tags.TASK: task})
+                updated_custom_metadata_list = [
+                    Metadata(**metadata)
+                    for metadata in custom_metadata_list.to_dict()["data"]
+                ]
+                update_model_details = UpdateModelDetails(
+                    custom_metadata_list=updated_custom_metadata_list,
+                    freeform_tags=freeform_tags,
+                )
+                AquaApp().update_model(id, update_model_details)
+        else:
+            raise AquaRuntimeError(
+                f"Failed to edit model:{id}. Only registered unverified models can be edited."
+            )
+
     def _fetch_metric_from_metadata(
         self,
         custom_metadata_list: ModelCustomMetadata,
@@ -629,6 +728,32 @@ def clear_model_list_cache(
                 }
         return res
 
+    def clear_model_details_cache(self, model_id):
+        """
+        Allows user to clear model details cache item
+        Returns
+        -------
+            dict with the key used, and True if cache has the key that needs to be deleted.
+        """
+        res = {}
+        logger.info(f"Clearing _service_model_details_cache for {model_id}")
+        with self._cache_lock:
+            if model_id in self._service_model_details_cache:
+                self._service_model_details_cache.pop(key=model_id)
+                res = {"key": {"model_id": model_id}, "cache_deleted": True}
+
+        return res
+
+    @staticmethod
+    def list_valid_inference_containers():
+        containers = list(
+            AquaContainerConfig.from_container_index_json(
+                config=get_container_config(), enable_spec=True
+            ).inference.values()
+        )
+        family_values = [item.family for item in containers]
+        return family_values
+
     def _create_model_catalog_entry(
         self,
         os_path: str,

ads/aqua/modeldeployment/deployment.py

@@ -532,6 +532,18 @@ def list(self, **kwargs) -> List["AquaDeployment"]:
 
         return results
 
+    @telemetry(entry_point="plugin=deployment&action=delete", name="aqua")
+    def delete(self,model_deployment_id:str):
+        return self.ds_client.delete_model_deployment(model_deployment_id=model_deployment_id).data
+
+    @telemetry(entry_point="plugin=deployment&action=deactivate",name="aqua")
+    def deactivate(self,model_deployment_id:str):
+        return self.ds_client.deactivate_model_deployment(model_deployment_id=model_deployment_id).data
+
+    @telemetry(entry_point="plugin=deployment&action=activate",name="aqua")
+    def activate(self,model_deployment_id:str):
+        return self.ds_client.activate_model_deployment(model_deployment_id=model_deployment_id).data
+
     @telemetry(entry_point="plugin=deployment&action=get", name="aqua")
     def get(self, model_deployment_id: str, **kwargs) -> "AquaDeploymentDetail":
         """Gets the information of Aqua model deployment.

tests/unitary/with_extras/aqua/test_deployment_handler.py

@@ -92,6 +92,30 @@ def test_get_deployment(self, mock_get):
         self.deployment_handler.get(id="mock-model-id")
         mock_get.assert_called()
 
+    @patch("ads.aqua.modeldeployment.AquaDeploymentApp.delete")
+    def test_delete_deployment(self, mock_delete):
+        self.deployment_handler.request.path = "aqua/deployments"
+        self.deployment_handler.delete("mock-model-id")
+        mock_delete.assert_called()
+
+    @patch("ads.aqua.modeldeployment.AquaDeploymentApp.activate")
+    def test_activate_deployment(self, mock_activate):
+        self.deployment_handler.request.path = (
+            "aqua/deployments/ocid1.datasciencemodeldeployment.oc1.iad.xxx/activate"
+        )
+        mock_activate.return_value = {"lifecycle_state": "UPDATING"}
+        self.deployment_handler.put()
+        mock_activate.assert_called()
+
+    @patch("ads.aqua.modeldeployment.AquaDeploymentApp.deactivate")
+    def test_deactivate_deployment(self, mock_deactivate):
+        self.deployment_handler.request.path = (
+            "aqua/deployments/ocid1.datasciencemodeldeployment.oc1.iad.xxx/deactivate"
+        )
+        mock_deactivate.return_value = {"lifecycle_state": "UPDATING"}
+        self.deployment_handler.put()
+        mock_deactivate.assert_called()
+
     @patch("ads.aqua.modeldeployment.AquaDeploymentApp.list")
     def test_list_deployment(self, mock_list):
         """Test get method to return a list of model deployments."""

tests/unitary/with_extras/aqua/test_model_handler.py

@@ -20,7 +20,6 @@
     AquaModelLicenseHandler,
 )
 from ads.aqua.model import AquaModelApp
-from ads.aqua.model.constants import ModelTask
 from ads.aqua.model.entities import AquaModel, AquaModelSummary, HFModelSummary
 
 
@@ -80,6 +79,46 @@ def test_delete(self, mock_urlparse, mock_clear_model_list_cache):
             mock_urlparse.assert_called()
             mock_clear_model_list_cache.assert_called()
 
+    @patch("ads.aqua.extension.model_handler.urlparse")
+    @patch.object(AquaModelApp, "delete_model")
+    def test_delete_with_id(self, mock_delete, mock_urlparse):
+        request_path = MagicMock(path="aqua/model/ocid1.datasciencemodel.oc1.iad.xxx")
+        mock_urlparse.return_value = request_path
+        mock_delete.return_value = {"state": "DELETED"}
+        with patch(
+            "ads.aqua.extension.base_handler.AquaAPIhandler.finish"
+        ) as mock_finish:
+            mock_finish.side_effect = lambda x: x
+            result = self.model_handler.delete(id="ocid1.datasciencemodel.oc1.iad.xxx")
+            assert result["state"] is "DELETED"
+            mock_urlparse.assert_called()
+            mock_delete.assert_called()
+
+    @patch.object(AquaModelApp, "list_valid_inference_containers")
+    @patch.object(AquaModelApp, "edit_registered_model")
+    def test_put(self, mock_edit, mock_inference_container_list):
+        mock_edit.return_value = None
+        mock_inference_container_list.return_value = [
+            "odsc-vllm-serving",
+            "odsc-tgi-serving",
+            "odsc-llama-cpp-serving",
+        ]
+        self.model_handler.get_json_body = MagicMock(
+            return_value=dict(
+                task="text_generation",
+                enable_finetuning="true",
+                inference_container="odsc-tgi-serving",
+            )
+        )
+        with patch(
+            "ads.aqua.extension.base_handler.AquaAPIhandler.finish"
+        ) as mock_finish:
+            mock_finish.side_effect = lambda x: x
+            result = self.model_handler.put(id="ocid1.datasciencemodel.oc1.iad.xxx")
+            assert result is None
+            mock_edit.assert_called_once()
+            mock_inference_container_list.assert_called_once()
+
     @patch.object(AquaModelApp, "list")
     def test_list(self, mock_list):
         with patch(