Refactor MLEngine code and add deploy and set_default commands

component_sdk/python/kfp_component/google/__init__.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from . import ml_engine, dataflow
+from . import ml_engine, dataflow

component_sdk/python/kfp_component/google/ml_engine/__init__.py

@@ -27,4 +27,6 @@
 from ._create_version import create_version
 from ._delete_version import delete_version
 from ._train import train
-from ._batch_predict import batch_predict
+from ._batch_predict import batch_predict
+from ._deploy import deploy
+from ._set_default_version import set_default_version

component_sdk/python/kfp_component/google/ml_engine/_client.py

@@ -81,79 +81,75 @@ def create_model(self, project_id, model):
             body = model
         ).execute()
 
-    def get_model(self, project_id, model_name):
+    def get_model(self, model_name):
         """Gets a model.
 
         Args:
-            project_id: the ID of the parent project.
             model_name: the name of the model.
         Returns:
             The retrieved model.
         """
         return self._ml_client.projects().models().get(
-            name = 'projects/{}/models/{}'.format(
-                project_id, model_name)
+            name = model_name
         ).execute()
 
-    def create_version(self, project_id, model_name, version):
+    def create_version(self, model_name, version):
         """Creates a new version.
 
         Args:
-            project_id: the ID of the parent project.
             model_name: the name of the parent model.
             version: the payload of the version.
 
         Returns:
             The created version.
         """
         return self._ml_client.projects().models().versions().create(
-            parent = 'projects/{}/models/{}'.format(project_id, model_name),
+            parent = model_name,
             body = version
         ).execute()
 
-    def get_version(self, project_id, model_name, version_name):
+    def get_version(self, version_name):
         """Gets a version.
 
         Args:
-            project_id: the ID of the parent project.
-            model_name: the name of the parent model.
             version_name: the name of the version.
 
         Returns:
             The retrieved version. None if the version is not found.
         """
         try:
             return self._ml_client.projects().models().versions().get(
-                name = 'projects/{}/models/{}/versions/{}'.format(
-                    project_id, model_name, version_name)
+                name = version_name
             ).execute()
         except errors.HttpError as e:
             if e.resp.status == 404:
                 return None
             raise
 
-    def delete_version(self, project_id, model_name, version_name):
+    def delete_version(self, version_name):
         """Deletes a version.
 
         Args:
-            project_id: the ID of the parent project.
-            model_name: the name of the parent model.
             version_name: the name of the version.
 
         Returns:
             The delete operation. None if the version is not found.
         """
         try:
             return self._ml_client.projects().models().versions().delete(
-                name = 'projects/{}/models/{}/versions/{}'.format(
-                    project_id, model_name, version_name)
+                name = version_name
             ).execute()
         except errors.HttpError as e:
             if e.resp.status == 404:
                 logging.info('The version has already been deleted.')
                 return None
             raise
 
+    def set_default_version(self, version_name):
+        return self._ml_client.projects().models().versions().setDefault(
+            name = version_name
+        ).execute()
+
     def get_operation(self, operation_name):
         """Gets an operation.
 

component_sdk/python/kfp_component/google/ml_engine/_common_ops.py

@@ -17,11 +17,9 @@
 
 from googleapiclient import errors
 
-def wait_existing_version(ml_client, project_id, model_name, 
-    version_name, wait_interval):
+def wait_existing_version(ml_client, version_name, wait_interval):
     while True:
-        existing_version = ml_client.get_version( 
-            project_id, model_name, version_name)
+        existing_version = ml_client.get_version(version_name)
         if not existing_version:
             return None
         state = existing_version.get('state', None)

component_sdk/python/kfp_component/google/ml_engine/_create_job.py

@@ -127,5 +127,5 @@ def _dump_metadata(self):
 
     def _dump_job(self, job):
         logging.info('Dumping job: {}'.format(job))
-        gcp_common.dump_file('/tmp/outputs/output.txt', json.dumps(job))
-        gcp_common.dump_file('/tmp/outputs/job_id.txt', job['jobId'])
+        gcp_common.dump_file('/tmp/kfp/output/ml_engine/job.json', json.dumps(job))
+        gcp_common.dump_file('/tmp/kfp/output/ml_engine/job_id.txt', job['jobId'])

component_sdk/python/kfp_component/google/ml_engine/_create_model.py

@@ -22,22 +22,23 @@
 from ._client import MLEngineClient
 from .. import common as gcp_common
 
-def create_model(project_id, name=None, model=None):
+def create_model(project_id, model_id=None, model=None):
     """Creates a MLEngine model.
 
     Args:
         project_id (str): the ID of the parent project of the model.
-        name (str): optional, the name of the model. If absent, a new name will 
+        model_id (str): optional, the name of the model. If absent, a new name will 
             be generated.
         model (dict): the payload of the model.
     """
-    return CreateModelOp(project_id, name, model).execute()
+    return CreateModelOp(project_id, model_id, model).execute()
 
 class CreateModelOp:
-    def __init__(self, project_id, name, model):
+    def __init__(self, project_id, model_id, model):
         self._ml = MLEngineClient()
         self._project_id = project_id
-        self._model_name = name
+        self._model_id = model_id
+        self._model_name = None
         if model:
             self._model = model
         else:
@@ -53,8 +54,7 @@ def execute(self):
                     model = self._model)
             except errors.HttpError as e:
                 if e.resp.status == 409:
-                    existing_model = self._ml.get_model(
-                        self._project_id, self._model_name)
+                    existing_model = self._ml.get_model(self._model_name)
                     if not self._is_dup_model(existing_model):
                         raise
                     logging.info('The same model {} has been submitted'
@@ -67,9 +67,11 @@ def execute(self):
             return created_model
 
     def _set_model_name(self, context_id):
-        if not self._model_name:
-            self._model_name = 'model_' + context_id
-        self._model['name'] = gcp_common.normalize_name(self._model_name)
+        if not self._model_id:
+            self._model_id = 'model_' + context_id
+        self._model['name'] = gcp_common.normalize_name(self._model_id)
+        self._model_name = 'projects/{}/models/{}'.format(
+            self._project_id, self._model_id)
 
 
     def _is_dup_model(self, existing_model):
@@ -82,11 +84,11 @@ def _is_dup_model(self, existing_model):
     def _dump_metadata(self):
         display.display(display.Link(
             'https://console.cloud.google.com/mlengine/models/{}?project={}'.format(
-                self._model_name, self._project_id),
+                self._model_id, self._project_id),
             'Model Details'
         ))
 
     def _dump_model(self, model):
         logging.info('Dumping model: {}'.format(model))
-        gcp_common.dump_file('/tmp/outputs/output.txt', json.dumps(model))
-        gcp_common.dump_file('/tmp/outputs/model_name.txt', self._model_name)
+        gcp_common.dump_file('/tmp/kfp/output/ml_engine/model.json', json.dumps(model))
+        gcp_common.dump_file('/tmp/kfp/output/ml_engine/model_name.txt', self._model_name)

component_sdk/python/kfp_component/google/ml_engine/_create_version.py

@@ -15,6 +15,7 @@
 import json
 import logging
 import time
+import re
 
 from googleapiclient import errors
 from fire import decorators
@@ -25,18 +26,17 @@
 from ._common_ops import wait_existing_version, wait_for_operation_done
 
 @decorators.SetParseFns(python_version=str, runtime_version=str)
-def create_version(project_id, model_name, deployemnt_uri=None, version_name=None, 
+def create_version(model_name, deployemnt_uri=None, version_id=None, 
     runtime_version=None, python_version=None, version=None, 
     replace_existing=False, wait_interval=30):
     """Creates a MLEngine version and wait for the operation to be done.
 
     Args:
-        project_id (str): required, the ID of the parent project.
         model_name (str): required, the name of the parent model.
         deployment_uri (str): optional, the Google Cloud Storage location of 
             the trained model used to create the version.
-        version_name (str): optional, the name of the version. If it is not
-            provided, the operation uses a random name.
+        version_id (str): optional, the user provided short name of 
+            the version. If it is not provided, the operation uses a random name.
         runtime_version (str): optinal, the Cloud ML Engine runtime version 
             to use for this deployment. If not set, Cloud ML Engine uses 
             the default stable version, 1.0. 
@@ -53,23 +53,28 @@ def create_version(project_id, model_name, deployemnt_uri=None, version_name=Non
         version = {}
     if deployemnt_uri:
         version['deploymentUri'] = deployemnt_uri
-    if version_name:
-        version['name'] = version_name
+    if version_id:
+        version['name'] = version_id
     if runtime_version:
         version['runtimeVersion'] = runtime_version
     if python_version:
         version['pythonVersion'] = python_version
 
-    return CreateVersionOp(project_id, model_name, version, 
+    return CreateVersionOp(model_name, version, 
         replace_existing, wait_interval).execute_and_wait()
 
 class CreateVersionOp:
-    def __init__(self, project_id, model_name, version, 
+    def __init__(self, model_name, version, 
         replace_existing, wait_interval):
         self._ml = MLEngineClient()
-        self._project_id = project_id
-        self._model_name = gcp_common.normalize_name(model_name)
+        self._model_name = model_name
+        self._project_id, self._model_short_name = self._parse_model_name(model_name)
+        # The name of the version resource, which is in the format 
+        # of projects/*/models/*/versions/*
         self._version_name = None
+        # The user provide short name of the version.
+        self._version_id = None
+        # The full payload of the version resource.
         self._version = version
         self._replace_existing = replace_existing
         self._wait_interval = wait_interval
@@ -81,7 +86,7 @@ def execute_and_wait(self):
             self._set_version_name(ctx.context_id())
             self._dump_metadata()
             existing_version = wait_existing_version(self._ml, 
-                self._project_id, self._model_name, self._version_name, 
+                self._version_name, 
                 self._wait_interval)
             if existing_version and self._is_dup_version(existing_version):
                 return self._handle_completed_version(existing_version)
@@ -95,15 +100,21 @@ def execute_and_wait(self):
 
             created_version = self._create_version_and_wait()
             return self._handle_completed_version(created_version)
+
+    def _parse_model_name(self, model_name):
+        match = re.search(r'^projects/([^/]+)/models/([^/]+)$', model_name)
+        if not match:
+            raise ValueError('model name "{}" is not in desired format.'.format(model_name))
+        return (match.group(1), match.group(2))
 
     def _set_version_name(self, context_id):
-        version_name = self._version.get('name', None)
-        if not version_name:
-            version_name = 'ver_' + context_id
-        version_name = gcp_common.normalize_name(version_name)
-        self._version_name = version_name
-        self._version['name'] = version_name
-
+        name = self._version.get('name', None)
+        if not name:
+            name = 'ver_' + context_id
+        name = gcp_common.normalize_name(name)
+        self._version_id = name
+        self._version['name'] = name
+        self._version_name = '{}/versions/{}'.format(self._model_name, name)
 
     def _cancel(self):
         if self._delete_operation_name:
@@ -113,8 +124,7 @@ def _cancel(self):
             self._ml.cancel_operation(self._create_operation_name)
 
     def _create_version_and_wait(self):
-        operation = self._ml.create_version(self._project_id, 
-            self._model_name, self._version)
+        operation = self._ml.create_version(self._model_name, self._version)
         # Cache operation name for cancellation.
         self._create_operation_name = operation.get('name')
         try:
@@ -128,8 +138,7 @@ def _create_version_and_wait(self):
         return operation.get('response', None)
 
     def _delete_version_and_wait(self):
-        operation = self._ml.delete_version(
-                self._project_id, self._model_name, self._version_name)
+        operation = self._ml.delete_version(self._version_name)
         # Cache operation name for cancellation.
         self._delete_operation_name = operation.get('name')
         try:
@@ -147,20 +156,22 @@ def _handle_completed_version(self, version):
             error_message = version.get('errorMessage', 'Unknown failure')
             raise RuntimeError('Version is in failed state: {}'.format(
                 error_message))
+        # Workaround issue that CMLE doesn't return the full version name.
+        version['name'] = self._version_name
         self._dump_version(version)
         return version
 
     def _dump_metadata(self):
         display.display(display.Link(
             'https://console.cloud.google.com/mlengine/models/{}/versions/{}?project={}'.format(
-                self._model_name, self._version_name, self._project_id),
+                self._model_short_name, self._version_id, self._project_id),
             'Version Details'
         ))
 
     def _dump_version(self, version):
         logging.info('Dumping version: {}'.format(version))
-        gcp_common.dump_file('/tmp/outputs/output.txt', json.dumps(version))
-        gcp_common.dump_file('/tmp/outputs/version_name.txt', version['name'])
+        gcp_common.dump_file('/tmp/kfp/output/ml_engine/version.json', json.dumps(version))
+        gcp_common.dump_file('/tmp/kfp/output/ml_engine/version_name.txt', version['name'])
 
     def _is_dup_version(self, existing_version):
         return not gcp_common.check_resource_changed(

component_sdk/python/kfp_component/google/ml_engine/_delete_version.py

@@ -22,39 +22,33 @@
 from .. import common as gcp_common
 from ._common_ops import wait_existing_version, wait_for_operation_done
 
-def delete_version(project_id, model_name, version_name, wait_interval=30):
+def delete_version(version_name, wait_interval=30):
     """Deletes a MLEngine version and wait.
 
     Args:
-        project_id (str): required, the ID of the parent project.
-        model_name (str): required, the name of the parent model.
         version_name (str): required, the name of the version.
         wait_interval (int): the interval to wait for a long running operation.
     """
-    DeleteVersionOp(project_id, model_name, version_name, 
-        wait_interval).execute_and_wait()
+    DeleteVersionOp(version_name, wait_interval).execute_and_wait()
 
 class DeleteVersionOp:
-    def __init__(self, project_id, model_name, version_name, wait_interval):
+    def __init__(self, version_name, wait_interval):
         self._ml = MLEngineClient()
-        self._project_id = project_id
-        self._model_name = gcp_common.normalize_name(model_name)
-        self._version_name = gcp_common.normalize_name(version_name)
+        self._version_name = version_name
         self._wait_interval = wait_interval
         self._delete_operation_name = None
 
     def execute_and_wait(self):
         with KfpExecutionContext(on_cancel=self._cancel):
             existing_version = wait_existing_version(self._ml, 
-                self._project_id, self._model_name, self._version_name, 
+                self._version_name, 
                 self._wait_interval)
             if not existing_version:
                 logging.info('The version has already been deleted.')
                 return None
 
             logging.info('Deleting existing version...')
-            operation = self._ml.delete_version(
-                    self._project_id, self._model_name, self._version_name)
+            operation = self._ml.delete_version(self._version_name)
             # Cache operation name for cancellation.
             self._delete_operation_name = operation.get('name')
             try: