# pylint: disable=too-many-lines
# 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 Any, AsyncIterable, Callable, Dict, Optional, TypeVar, Union, cast
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse
from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod
from azure.core.polling.async_base_polling import AsyncLROBasePolling
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.tracing.decorator_async import distributed_trace_async
from azure.core.utils import case_insensitive_dict
from ... import models as _models
from ..._vendor import _convert_request
from ...operations._spark_configuration_operations import build_create_or_update_spark_configuration_request_initial, build_delete_spark_configuration_request_initial, build_get_spark_configuration_request, build_get_spark_configurations_by_workspace_request, build_rename_spark_configuration_request_initial
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
[docs]class SparkConfigurationOperations:
"""
.. warning::
**DO NOT** instantiate this class directly.
Instead, you should access the following operations through
:class:`~azure.synapse.artifacts.aio.ArtifactsClient`'s
:attr:`spark_configuration` attribute.
"""
models = _models
def __init__(self, *args, **kwargs) -> None:
input_args = list(args)
self._client = input_args.pop(0) if input_args else kwargs.pop("client")
self._config = input_args.pop(0) if input_args else kwargs.pop("config")
self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer")
self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer")
[docs] @distributed_trace
def get_spark_configurations_by_workspace(
self,
**kwargs: Any
) -> AsyncIterable[_models.SparkConfigurationListResponse]:
"""Lists sparkconfigurations.
:keyword api_version: Api Version. Default value is "2021-06-01-preview". Note that overriding
this default value may result in unsupported behavior.
:paramtype api_version: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either SparkConfigurationListResponse or the result of
cls(response)
:rtype:
~azure.core.async_paging.AsyncItemPaged[~azure.synapse.artifacts.models.SparkConfigurationListResponse]
:raises: ~azure.core.exceptions.HttpResponseError
"""
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[_models.SparkConfigurationListResponse]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}) or {})
def prepare_request(next_link=None):
if not next_link:
request = build_get_spark_configurations_by_workspace_request(
api_version=api_version,
template_url=self.get_spark_configurations_by_workspace.metadata['url'],
headers=_headers,
params=_params,
)
request = _convert_request(request)
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
else:
request = build_get_spark_configurations_by_workspace_request(
api_version=api_version,
template_url=next_link,
headers=_headers,
params=_params,
)
request = _convert_request(request)
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize("SparkConfigurationListResponse", pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.CloudError, pipeline_response)
raise HttpResponseError(response=response, model=error)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
get_spark_configurations_by_workspace.metadata = {'url': "/sparkconfigurations"} # type: ignore
async def _create_or_update_spark_configuration_initial(
self,
spark_configuration_name: str,
properties: _models.SparkConfiguration,
if_match: Optional[str] = None,
**kwargs: Any
) -> Optional[_models.SparkConfigurationResource]:
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
content_type = kwargs.pop('content_type', _headers.pop('Content-Type', "application/json")) # type: Optional[str]
cls = kwargs.pop('cls', None) # type: ClsType[Optional[_models.SparkConfigurationResource]]
_spark_configuration = _models.SparkConfigurationResource(properties=properties)
_json = self._serialize.body(_spark_configuration, 'SparkConfigurationResource')
request = build_create_or_update_spark_configuration_request_initial(
spark_configuration_name=spark_configuration_name,
api_version=api_version,
content_type=content_type,
json=_json,
if_match=if_match,
template_url=self._create_or_update_spark_configuration_initial.metadata['url'],
headers=_headers,
params=_params,
)
request = _convert_request(request)
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SparkConfigurationResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
_create_or_update_spark_configuration_initial.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}"} # type: ignore
[docs] @distributed_trace_async
async def begin_create_or_update_spark_configuration(
self,
spark_configuration_name: str,
properties: _models.SparkConfiguration,
if_match: Optional[str] = None,
**kwargs: Any
) -> AsyncLROPoller[_models.SparkConfigurationResource]:
"""Creates or updates a sparkconfiguration.
:param spark_configuration_name: The spark Configuration name.
:type spark_configuration_name: str
:param properties: Properties of Spark Configuration.
:type properties: ~azure.synapse.artifacts.models.SparkConfiguration
:param if_match: ETag of the sparkConfiguration entity. Should only be specified for update,
for which it should match existing entity or can be * for unconditional update. Default value
is None.
:type if_match: str
:keyword api_version: Api Version. Default value is "2021-06-01-preview". Note that overriding
this default value may result in unsupported behavior.
:paramtype api_version: str
:keyword callable cls: A custom type or function that will be passed the direct response
:keyword str continuation_token: A continuation token to restart a poller from a saved state.
:keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False
for this operation to not poll, or pass in your own initialized polling object for a personal
polling strategy.
:paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
:return: An instance of AsyncLROPoller that returns either SparkConfigurationResource or the
result of cls(response)
:rtype:
~azure.core.polling.AsyncLROPoller[~azure.synapse.artifacts.models.SparkConfigurationResource]
:raises: ~azure.core.exceptions.HttpResponseError
"""
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
content_type = kwargs.pop('content_type', _headers.pop('Content-Type', "application/json")) # type: Optional[str]
cls = kwargs.pop('cls', None) # type: ClsType[_models.SparkConfigurationResource]
polling = kwargs.pop('polling', True) # type: Union[bool, AsyncPollingMethod]
lro_delay = kwargs.pop(
'polling_interval',
self._config.polling_interval
)
cont_token = kwargs.pop('continuation_token', None) # type: Optional[str]
if cont_token is None:
raw_result = await self._create_or_update_spark_configuration_initial( # type: ignore
spark_configuration_name=spark_configuration_name,
properties=properties,
if_match=if_match,
api_version=api_version,
content_type=content_type,
cls=lambda x,y,z: x,
headers=_headers,
params=_params,
**kwargs
)
kwargs.pop('error_map', None)
def get_long_running_output(pipeline_response):
deserialized = self._deserialize('SparkConfigurationResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
if polling is True:
polling_method = cast(AsyncPollingMethod, AsyncLROBasePolling(
lro_delay,
path_format_arguments=path_format_arguments,
**kwargs
)) # type: AsyncPollingMethod
elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
else: polling_method = polling
if cont_token:
return AsyncLROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_create_or_update_spark_configuration.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}"} # type: ignore
[docs] @distributed_trace_async
async def get_spark_configuration(
self,
spark_configuration_name: str,
if_none_match: Optional[str] = None,
**kwargs: Any
) -> Optional[_models.SparkConfigurationResource]:
"""Gets a sparkConfiguration.
:param spark_configuration_name: The spark Configuration name.
:type spark_configuration_name: str
:param if_none_match: ETag of the sparkConfiguration entity. Should only be specified for get.
If the ETag matches the existing entity tag, or if * was provided, then no content will be
returned. Default value is None.
:type if_none_match: str
:keyword api_version: Api Version. Default value is "2021-06-01-preview". Note that overriding
this default value may result in unsupported behavior.
:paramtype api_version: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: SparkConfigurationResource, or the result of cls(response)
:rtype: ~azure.synapse.artifacts.models.SparkConfigurationResource or None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[Optional[_models.SparkConfigurationResource]]
request = build_get_spark_configuration_request(
spark_configuration_name=spark_configuration_name,
api_version=api_version,
if_none_match=if_none_match,
template_url=self.get_spark_configuration.metadata['url'],
headers=_headers,
params=_params,
)
request = _convert_request(request)
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 304]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.CloudError, pipeline_response)
raise HttpResponseError(response=response, model=error)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SparkConfigurationResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_spark_configuration.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}"} # type: ignore
async def _delete_spark_configuration_initial( # pylint: disable=inconsistent-return-statements
self,
spark_configuration_name: str,
**kwargs: Any
) -> None:
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[None]
request = build_delete_spark_configuration_request_initial(
spark_configuration_name=spark_configuration_name,
api_version=api_version,
template_url=self._delete_spark_configuration_initial.metadata['url'],
headers=_headers,
params=_params,
)
request = _convert_request(request)
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 202, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
_delete_spark_configuration_initial.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}"} # type: ignore
[docs] @distributed_trace_async
async def begin_delete_spark_configuration( # pylint: disable=inconsistent-return-statements
self,
spark_configuration_name: str,
**kwargs: Any
) -> AsyncLROPoller[None]:
"""Deletes a sparkConfiguration.
:param spark_configuration_name: The spark Configuration name.
:type spark_configuration_name: str
:keyword api_version: Api Version. Default value is "2021-06-01-preview". Note that overriding
this default value may result in unsupported behavior.
:paramtype api_version: str
:keyword callable cls: A custom type or function that will be passed the direct response
:keyword str continuation_token: A continuation token to restart a poller from a saved state.
:keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False
for this operation to not poll, or pass in your own initialized polling object for a personal
polling strategy.
:paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
:return: An instance of AsyncLROPoller that returns either None or the result of cls(response)
:rtype: ~azure.core.polling.AsyncLROPoller[None]
:raises: ~azure.core.exceptions.HttpResponseError
"""
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[None]
polling = kwargs.pop('polling', True) # type: Union[bool, AsyncPollingMethod]
lro_delay = kwargs.pop(
'polling_interval',
self._config.polling_interval
)
cont_token = kwargs.pop('continuation_token', None) # type: Optional[str]
if cont_token is None:
raw_result = await self._delete_spark_configuration_initial( # type: ignore
spark_configuration_name=spark_configuration_name,
api_version=api_version,
cls=lambda x,y,z: x,
headers=_headers,
params=_params,
**kwargs
)
kwargs.pop('error_map', None)
def get_long_running_output(pipeline_response):
if cls:
return cls(pipeline_response, None, {})
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
if polling is True:
polling_method = cast(AsyncPollingMethod, AsyncLROBasePolling(
lro_delay,
path_format_arguments=path_format_arguments,
**kwargs
)) # type: AsyncPollingMethod
elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
else: polling_method = polling
if cont_token:
return AsyncLROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_delete_spark_configuration.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}"} # type: ignore
async def _rename_spark_configuration_initial( # pylint: disable=inconsistent-return-statements
self,
spark_configuration_name: str,
new_name: Optional[str] = None,
**kwargs: Any
) -> None:
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
content_type = kwargs.pop('content_type', _headers.pop('Content-Type', "application/json")) # type: Optional[str]
cls = kwargs.pop('cls', None) # type: ClsType[None]
_request = _models.ArtifactRenameRequest(new_name=new_name)
_json = self._serialize.body(_request, 'ArtifactRenameRequest')
request = build_rename_spark_configuration_request_initial(
spark_configuration_name=spark_configuration_name,
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self._rename_spark_configuration_initial.metadata['url'],
headers=_headers,
params=_params,
)
request = _convert_request(request)
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
_rename_spark_configuration_initial.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}/rename"} # type: ignore
[docs] @distributed_trace_async
async def begin_rename_spark_configuration( # pylint: disable=inconsistent-return-statements
self,
spark_configuration_name: str,
new_name: Optional[str] = None,
**kwargs: Any
) -> AsyncLROPoller[None]:
"""Renames a sparkConfiguration.
:param spark_configuration_name: The spark Configuration name.
:type spark_configuration_name: str
:param new_name: New name of the artifact. Default value is None.
:type new_name: str
:keyword api_version: Api Version. Default value is "2021-06-01-preview". Note that overriding
this default value may result in unsupported behavior.
:paramtype api_version: str
:keyword callable cls: A custom type or function that will be passed the direct response
:keyword str continuation_token: A continuation token to restart a poller from a saved state.
:keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False
for this operation to not poll, or pass in your own initialized polling object for a personal
polling strategy.
:paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
:return: An instance of AsyncLROPoller that returns either None or the result of cls(response)
:rtype: ~azure.core.polling.AsyncLROPoller[None]
:raises: ~azure.core.exceptions.HttpResponseError
"""
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2021-06-01-preview")) # type: str
content_type = kwargs.pop('content_type', _headers.pop('Content-Type', "application/json")) # type: Optional[str]
cls = kwargs.pop('cls', None) # type: ClsType[None]
polling = kwargs.pop('polling', True) # type: Union[bool, AsyncPollingMethod]
lro_delay = kwargs.pop(
'polling_interval',
self._config.polling_interval
)
cont_token = kwargs.pop('continuation_token', None) # type: Optional[str]
if cont_token is None:
raw_result = await self._rename_spark_configuration_initial( # type: ignore
spark_configuration_name=spark_configuration_name,
new_name=new_name,
api_version=api_version,
content_type=content_type,
cls=lambda x,y,z: x,
headers=_headers,
params=_params,
**kwargs
)
kwargs.pop('error_map', None)
def get_long_running_output(pipeline_response):
if cls:
return cls(pipeline_response, None, {})
path_format_arguments = {
"endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
if polling is True:
polling_method = cast(AsyncPollingMethod, AsyncLROBasePolling(
lro_delay,
path_format_arguments=path_format_arguments,
**kwargs
)) # type: AsyncPollingMethod
elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
else: polling_method = polling
if cont_token:
return AsyncLROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_rename_spark_configuration.metadata = {'url': "/sparkconfigurations/{sparkConfigurationName}/rename"} # type: ignore