RSDK-7191: add mltraining wrappers

src/viam/app/ml_training_client.py

@@ -3,15 +3,19 @@
 from grpclib.client import Channel
 
 from viam import logging
-from viam.proto.app.data import Filter
 from viam.proto.app.mltraining import (
     CancelTrainingJobRequest,
+    DeleteCompletedTrainingJobRequest,
     GetTrainingJobRequest,
     GetTrainingJobResponse,
     ListTrainingJobsRequest,
     ListTrainingJobsResponse,
     MLTrainingServiceStub,
     ModelType,
+    SubmitCustomTrainingJobRequest,
+    SubmitCustomTrainingJobResponse,
+    SubmitTrainingJobRequest,
+    SubmitTrainingJobResponse,
     TrainingJobMetadata,
     TrainingStatus,
 )
@@ -66,13 +70,62 @@ def __init__(self, channel: Channel, metadata: Mapping[str, str]):
     async def submit_training_job(
         self,
         org_id: str,
+        dataset_id: str,
         model_name: str,
         model_version: str,
-        model_type: ModelType,
+        model_type: ModelType.ValueType,
         tags: List[str],
-        filter: Optional[Filter] = None,
     ) -> str:
-        raise NotImplementedError()
+        """Submit a training job.
+
+        Args:
+            org_id (str): the id of the org to submit the training job to
+            dataset_id (str): the id of the dataset
+            model_name (str): the model name
+            model_version (str): the model version
+            model_type (ModelType.ValueType): the model type
+            tags (List[str]): the tags
+
+        Returns:
+            str: the id of the training job
+        """
+
+        request = SubmitTrainingJobRequest(
+            dataset_id=dataset_id,
+            organization_id=org_id,
+            model_name=model_name,
+            model_version=model_version,
+            model_type=model_type,
+            tags=tags,
+        )
+        response: SubmitTrainingJobResponse = await self._ml_training_client.SubmitTrainingJob(request, metadata=self._metadata)
+        return response.id
+
+    async def submit_custom_training_job(
+        self, org_id: str, dataset_id: str, registry_item_id: str, model_name: str, model_version: str
+    ) -> str:
+        """Submit a custom training job.
+
+        Args:
+            org_id (str): the id of the org to submit the training job to
+            dataset_id (str): the id of the dataset
+            registry_item_id (List[str]): the id of the registry item
+            model_name (str): the model name
+            model_version (str): the model version
+
+        Returns:
+            str: the id of the training job
+        """
+
+        request = SubmitCustomTrainingJobRequest(
+            dataset_id=dataset_id,
+            registry_item_id=registry_item_id,
+            organization_id=org_id,
+            model_name=model_name,
+            model_version=model_version,
+        )
+        response: SubmitCustomTrainingJobResponse = await self._ml_training_client.SubmitCustomTrainingJob(request, metadata=self._metadata)
+        return response.id
 
     async def get_training_job(self, id: str) -> TrainingJobMetadata:
         """Gets training job data.
@@ -83,7 +136,7 @@ async def get_training_job(self, id: str) -> TrainingJobMetadata:
                 id="INSERT YOUR JOB ID")
 
         Args:
-            id (str): id of the requested training job.
+            id (str): the id of the requested training job.
 
         Returns:
             viam.proto.app.mltraining.TrainingJobMetadata: training job data.
@@ -140,3 +193,12 @@ async def cancel_training_job(self, id: str) -> None:
 
         request = CancelTrainingJobRequest(id=id)
         await self._ml_training_client.CancelTrainingJob(request, metadata=self._metadata)
+
+    async def delete_completed_training_job(self, id: str) -> None:
+        """Delete a completed training job from the database, whether the job succeeded or failed
+        Args:
+            id (str): the id of the training job
+        """
+
+        request = DeleteCompletedTrainingJobRequest(id=id)
+        await self._ml_training_client.DeleteCompletedTrainingJob(request, metadata=self._metadata)

tests/mocks/services.py

@@ -1023,6 +1023,7 @@ def __init__(self, job_id: str, training_metadata: TrainingJobMetadata):
     async def SubmitTrainingJob(self, stream: Stream[SubmitTrainingJobRequest, SubmitTrainingJobResponse]) -> None:
         request = await stream.recv_message()
         assert request is not None
+        self.dataset_id = request.dataset_id
         self.org_id = request.organization_id
         self.model_name = request.model_name
         self.model_version = request.model_version
@@ -1031,7 +1032,14 @@ async def SubmitTrainingJob(self, stream: Stream[SubmitTrainingJobRequest, Submi
         await stream.send_message(SubmitTrainingJobResponse(id=self.job_id))
 
     async def SubmitCustomTrainingJob(self, stream: Stream[SubmitCustomTrainingJobRequest, SubmitCustomTrainingJobResponse]) -> None:
-        return await super().SubmitCustomTrainingJob(stream)
+        request = await stream.recv_message()
+        assert request is not None
+        self.dataset_id = request.dataset_id
+        self.registry_item_id = request.registry_item_id
+        self.org_id = request.organization_id
+        self.model_name = request.model_name
+        self.model_version = request.model_version
+        await stream.send_message(SubmitCustomTrainingJobResponse(id=self.job_id))
 
     async def GetTrainingJob(self, stream: Stream[GetTrainingJobRequest, GetTrainingJobResponse]) -> None:
         request = await stream.recv_message()
@@ -1055,7 +1063,10 @@ async def CancelTrainingJob(self, stream: Stream[CancelTrainingJobRequest, Cance
     async def DeleteCompletedTrainingJob(
         self, stream: Stream[DeleteCompletedTrainingJobRequest, DeleteCompletedTrainingJobResponse]
     ) -> None:
-        raise NotImplementedError()
+        request = await stream.recv_message()
+        assert request is not None
+        self.delete_id = request.id
+        await stream.send_message(DeleteCompletedTrainingJobResponse())
 
 
 class MockBilling(BillingServiceBase):

tests/test_dataset.py

@@ -57,3 +57,11 @@ async def test_list_datasets_by_organization_id(self, service: MockDataset):
             datasets = await client.list_datasets_by_organization_id(ORG_ID)
             assert service.org_id == ORG_ID
             assert datasets == DATASETS
+
+    @pytest.mark.asyncio
+    async def test_rename_dataset(self, service: MockDataset):
+        async with ChannelFor([service]) as channel:
+            client = DataClient(channel, DATA_SERVICE_METADATA)
+            await client.rename_dataset(ID, NAME)
+            assert service.id == ID
+            assert service.name == NAME

tests/test_ml_training_client.py

@@ -13,8 +13,11 @@
 ID = "id"
 TRAINING_JOB_ID = "training-job-id"
 CANCEL_ID = "cancel-id"
+DELETE_ID = "delete-id"
 JOB_ID = "job-id"
 ORG_ID = "org-id"
+DATASET_ID = "dataset-id"
+REGISTRY_ITEM_ID = "registry-item-id"
 MODEL_ID = "model-id"
 MODEL_NAME = "model-name"
 MODEL_VERSION = "model-version"
@@ -66,7 +69,21 @@ async def test_cancel_training_job(self, service: MockMLTraining):
 
     @pytest.mark.asyncio
     async def test_submit_training_job(self, service: MockMLTraining):
-        assert True
+        async with ChannelFor([service]) as channel:
+            client = MLTrainingClient(channel, ML_TRAINING_SERVICE_METADATA)
+            id = await client.submit_training_job(
+                org_id=ORG_ID, dataset_id=DATASET_ID, model_name=MODEL_NAME, model_version=MODEL_VERSION, model_type=MODEL_TYPE, tags=TAGS
+            )
+            assert id == JOB_ID
+
+    @pytest.mark.asyncio
+    async def test_custom_submit_training_job(self, service: MockMLTraining):
+        async with ChannelFor([service]) as channel:
+            client = MLTrainingClient(channel, ML_TRAINING_SERVICE_METADATA)
+            id = await client.submit_custom_training_job(
+                org_id=ORG_ID, dataset_id=DATASET_ID, registry_item_id=REGISTRY_ITEM_ID, model_name=MODEL_NAME, model_version=MODEL_VERSION
+            )
+            assert id == JOB_ID
 
     @pytest.mark.asyncio
     async def test_get_training_job(self, service: MockMLTraining):
@@ -85,3 +102,10 @@ async def test_list_training_jobs(self, service: MockMLTraining):
             assert training_jobs[0] == TRAINING_METADATA
             assert service.training_status == TRAINING_STATUS
             assert service.org_id == ORG_ID
+
+    @pytest.mark.asyncio
+    async def test_delete_completed_training_job(self, service: MockMLTraining):
+        async with ChannelFor([service]) as channel:
+            client = MLTrainingClient(channel, ML_TRAINING_SERVICE_METADATA)
+            await client.delete_completed_training_job(DELETE_ID)
+            assert service.delete_id == DELETE_ID