# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------

from typing import TYPE_CHECKING

from azure.core import PipelineClient
from msrest import Deserializer, Serializer

if TYPE_CHECKING:
    # pylint: disable=unused-import,ungrouped-imports
    from typing import Any

    from azure.core.credentials import TokenCredential
    from azure.core.pipeline.transport import HttpRequest, HttpResponse

from ._configuration import SparkClientConfiguration
from .operations import SparkBatchOperations
from .operations import SparkSessionOperations
from . import models


class SparkClient(object):
    """SparkClient.

    :ivar spark_batch: SparkBatchOperations operations
    :vartype spark_batch: azure.synapse.spark.operations.SparkBatchOperations
    :ivar spark_session: SparkSessionOperations operations
    :vartype spark_session: azure.synapse.spark.operations.SparkSessionOperations
    :param credential: Credential needed for the client to connect to Azure.
    :type credential: ~azure.core.credentials.TokenCredential
    :param endpoint: The workspace development endpoint, for example https://myworkspace.dev.azuresynapse.net.
    :type endpoint: str
    :param spark_pool_name: Name of the spark pool.
    :type spark_pool_name: str
    :param livy_api_version: Valid api-version for the request.
    :type livy_api_version: str
    """

    def __init__(
        self,
        credential,  # type: "TokenCredential"
        endpoint,  # type: str
        spark_pool_name,  # type: str
        livy_api_version="2019-11-01-preview",  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> None
        base_url = '{endpoint}'
        self._config = SparkClientConfiguration(credential, endpoint, spark_pool_name, livy_api_version, **kwargs)
        self._client = PipelineClient(base_url=base_url, config=self._config, **kwargs)

        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
        self._serialize = Serializer(client_models)
        self._serialize.client_side_validation = False
        self._deserialize = Deserializer(client_models)

        self.spark_batch = SparkBatchOperations(
            self._client, self._config, self._serialize, self._deserialize)
        self.spark_session = SparkSessionOperations(
            self._client, self._config, self._serialize, self._deserialize)

    def _send_request(self, http_request, **kwargs):
        # type: (HttpRequest, Any) -> HttpResponse
        """Runs the network request through the client's chained policies.

        :param http_request: The network request you want to make. Required.
        :type http_request: ~azure.core.pipeline.transport.HttpRequest
        :keyword bool stream: Whether the response payload will be streamed. Defaults to True.
        :return: The response of your network call. Does not do error handling on your response.
        :rtype: ~azure.core.pipeline.transport.HttpResponse
        """
        path_format_arguments = {
            'endpoint': self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
            'livyApiVersion': self._serialize.url("self._config.livy_api_version", self._config.livy_api_version, 'str', skip_quote=True),
            'sparkPoolName': self._serialize.url("self._config.spark_pool_name", self._config.spark_pool_name, 'str', skip_quote=True),
        }
        http_request.url = self._client.format_url(http_request.url, **path_format_arguments)
        stream = kwargs.pop("stream", True)
        pipeline_response = self._client._pipeline.run(http_request, stream=stream, **kwargs)
        return pipeline_response.http_response

    def close(self):
        # type: () -> None
        self._client.close()

    def __enter__(self):
        # type: () -> SparkClient
        self._client.__enter__()
        return self

    def __exit__(self, *exc_details):
        # type: (Any) -> None
        self._client.__exit__(*exc_details)
