Add execution context and run command APIs

These are the still supported functionality from the REST API 1.2.
https://docs.databricks.com/dev-tools/api/1.2/index.html

databricks_cli/cli.py

@@ -41,6 +41,7 @@
 from databricks_cli.instance_pools.cli import instance_pools_group
 from databricks_cli.pipelines.cli import pipelines_group
 from databricks_cli.repos.cli import repos_group
+from databricks_cli.execution_context.cli import execution_context_group
 
 
 @click.group(context_settings=CONTEXT_SETTINGS)
@@ -67,6 +68,7 @@ def cli():
 cli.add_command(instance_pools_group, name="instance-pools")
 cli.add_command(pipelines_group, name='pipelines')
 cli.add_command(repos_group, name='repos')
+cli.add_command(execution_context_group, name='execution-context')
 
 if __name__ == "__main__":
     cli()

databricks_cli/click_types.py

@@ -112,6 +112,37 @@ class PipelineIdClickType(ParamType):
     help = 'The pipeline ID.'
 
 
+class ExecutionContextIdClickType(ParamType):
+    name = 'CONTEXT_ID'
+    help = 'The execution context ID as returned from "databricks execution-context create".'
+
+
+class CommandIdClickType(ParamType):
+    name = 'COMMAND_ID'
+    help = 'The command ID as returned from "databricks execution-context command-execute".'    
+
+
+class CommandStringType(ParamType):
+    name = 'COMMAND'
+    help = 'The command string to run.'
+
+
+class CommandOutputType(ParamType):
+    name = 'FORMAT'
+    help = 'Can be "JSON" or "TEXT". Set to TEXT by default.'
+
+    def convert(self, value, param, ctx):
+        if value is None:
+            return 'text'
+        if value.lower() != 'json' and value.lower() != 'text':
+            raise RuntimeError('output must be "json" or "text"')
+        return value
+
+    @classmethod
+    def is_json(cls, value):
+        return value is not None and value.lower() == 'json'
+
+
 class OneOfOption(Option):
     def __init__(self, *args, **kwargs):
         self.one_of = kwargs.pop('one_of')

databricks_cli/execution_context/__init__.py

@@ -0,0 +1,22 @@
+# Databricks CLI
+# Copyright 2017 Databricks, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"), except
+# that the use of services to which certain application programming
+# interfaces (each, an "API") connect requires that the user first obtain
+# a license for the use of the APIs from Databricks, Inc. ("Databricks"),
+# by creating an account at www.databricks.com and agreeing to either (a)
+# the Community Edition Terms of Service, (b) the Databricks Terms of
+# Service, or (c) another written agreement between Licensee and Databricks
+# for the use of the APIs.
+#
+# You may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

databricks_cli/execution_context/api.py

@@ -0,0 +1,75 @@
+# WARNING THIS FILE IS AUTOGENERATED
+#
+# Databricks CLI
+# Copyright 2017 Databricks, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"), except
+# that the use of services to which certain application programming
+# interfaces (each, an "API") connect requires that the user first obtain
+# a license for the use of the APIs from Databricks, Inc. ("Databricks"),
+# by creating an account at www.databricks.com and agreeing to either (a)
+# the Community Edition Terms of Service, (b) the Databricks Terms of
+# Service, or (c) another written agreement between Licensee and Databricks
+# for the use of the APIs.
+#
+# You may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from typing import Dict, Any
+
+from databricks_cli.sdk.service import ExecutionContextService
+
+
+class ExecutionContext(object):
+    def __init__(self, api_client, cluster_id) -> None:
+        self.client = ExecutionContextService(api_client)
+        self.cluster_id = cluster_id
+        self.id = None
+
+    def __enter__(self):
+        if self.id is None:
+            self.id = self.client.create_context(cluster_id=self.cluster_id)["id"]
+
+        return self
+
+    def __exit__(self, _type, _value, _traceback):
+        self.client.delete_context(cluster_id=self.cluster_id, context_id=self.id)
+        self.id = None
+
+
+class ExecutionContextApi(object):
+
+    def __init__(self, api_client) -> None:
+        self.client = ExecutionContextService(api_client)
+
+    def create_context(self, cluster_id, language="python"):
+        # type: (str, str, Dict[Any, Any])  -> Dict[Any, Any]
+        return self.client.create_context(cluster_id, language)
+
+    def get_context_status(self, cluster_id, context_id):
+        # type: (str, str, Dict[Any, Any])  -> Dict[Any, Any]
+        return self.client.get_context_status(cluster_id, context_id)
+
+    def delete_context(self, cluster_id, context_id):
+        # type: (str, str, Dict[Any, Any]) -> Any
+        return self.client.delete_context(cluster_id, context_id)
+
+    def execute_command(self, cluster_id, context_id, command, language="python"):
+        # type: (str, str, str, str, Dict[Any, Any]) -> Dict[Any, Any]
+        return self.client.execute_command(cluster_id, context_id, command, language)
+
+    def cancel_command(self, cluster_id, context_id, command_id):
+        # type: (str, str, str, Dict[Any, Any]) -> Dict[Any, Any]
+        return self.client.cancel_command(cluster_id, context_id, command_id)
+
+    def get_command_status(self, cluster_id, context_id, command_id):
+        # type: (str, str, str, Dict[Any, Any]) -> Dict[Any, Any]
+        return self.client.get_command_status(cluster_id, context_id, command_id)