# 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.
# --------------------------------------------------------------------------
import functools
from typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar, Union
import warnings
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 ... import models as _models
from ..._vendor import _convert_request
from ...operations._dataset_operations import build_create_or_update_dataset_request_initial, build_delete_dataset_request_initial, build_get_dataset_request, build_get_datasets_by_workspace_request, build_rename_dataset_request_initial
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
[docs]class DatasetOperations:
"""DatasetOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:ivar models: Alias to model classes used in this operation group.
:type models: ~azure.synapse.artifacts.models
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
models = _models
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
[docs] @distributed_trace
def get_datasets_by_workspace(
self,
**kwargs: Any
) -> AsyncIterable["_models.DatasetListResponse"]:
"""Lists datasets.
:keyword api_version: Api Version. The default value is "2020-12-01". 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 DatasetListResponse or the result of cls(response)
:rtype:
~azure.core.async_paging.AsyncItemPaged[~azure.synapse.artifacts.models.DatasetListResponse]
:raises: ~azure.core.exceptions.HttpResponseError
"""
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
cls = kwargs.pop('cls', None) # type: ClsType["_models.DatasetListResponse"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_get_datasets_by_workspace_request(
api_version=api_version,
template_url=self.get_datasets_by_workspace.metadata['url'],
)
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)
else:
request = build_get_datasets_by_workspace_request(
api_version=api_version,
template_url=next_link,
)
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)
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("DatasetListResponse", 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(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.CloudErrorAutoGenerated, pipeline_response)
raise HttpResponseError(response=response, model=error)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
get_datasets_by_workspace.metadata = {'url': '/datasets'} # type: ignore
async def _create_or_update_dataset_initial(
self,
dataset_name: str,
properties: "_models.Dataset",
if_match: Optional[str] = None,
**kwargs: Any
) -> Optional["_models.DatasetResource"]:
cls = kwargs.pop('cls', None) # type: ClsType[Optional["_models.DatasetResource"]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
_dataset = _models.DatasetResource(properties=properties)
_json = self._serialize.body(_dataset, 'DatasetResource')
request = build_create_or_update_dataset_request_initial(
dataset_name=dataset_name,
api_version=api_version,
content_type=content_type,
json=_json,
if_match=if_match,
template_url=self._create_or_update_dataset_initial.metadata['url'],
)
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)
pipeline_response = await self._client._pipeline.run(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('DatasetResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
_create_or_update_dataset_initial.metadata = {'url': '/datasets/{datasetName}'} # type: ignore
[docs] @distributed_trace_async
async def begin_create_or_update_dataset(
self,
dataset_name: str,
properties: "_models.Dataset",
if_match: Optional[str] = None,
**kwargs: Any
) -> AsyncLROPoller["_models.DatasetResource"]:
"""Creates or updates a dataset.
:param dataset_name: The dataset name.
:type dataset_name: str
:param properties: Dataset properties.
:type properties: ~azure.synapse.artifacts.models.Dataset
:param if_match: ETag of the dataset entity. Should only be specified for update, for which it
should match existing entity or can be * for unconditional update.
:type if_match: str
:keyword api_version: Api Version. The default value is "2020-12-01". 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 DatasetResource or the result of
cls(response)
:rtype: ~azure.core.polling.AsyncLROPoller[~azure.synapse.artifacts.models.DatasetResource]
:raises: ~azure.core.exceptions.HttpResponseError
"""
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
polling = kwargs.pop('polling', True) # type: Union[bool, azure.core.polling.AsyncPollingMethod]
cls = kwargs.pop('cls', None) # type: ClsType["_models.DatasetResource"]
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_dataset_initial(
dataset_name=dataset_name,
properties=properties,
if_match=if_match,
api_version=api_version,
content_type=content_type,
cls=lambda x,y,z: x,
**kwargs
)
kwargs.pop('error_map', None)
def get_long_running_output(pipeline_response):
response = pipeline_response.http_response
deserialized = self._deserialize('DatasetResource', 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 = AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
elif polling is False: polling_method = 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
)
else:
return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_create_or_update_dataset.metadata = {'url': '/datasets/{datasetName}'} # type: ignore
[docs] @distributed_trace_async
async def get_dataset(
self,
dataset_name: str,
if_none_match: Optional[str] = None,
**kwargs: Any
) -> Optional["_models.DatasetResource"]:
"""Gets a dataset.
:param dataset_name: The dataset name.
:type dataset_name: str
:param if_none_match: ETag of the dataset 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.
:type if_none_match: str
:keyword api_version: Api Version. The default value is "2020-12-01". 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: DatasetResource, or the result of cls(response)
:rtype: ~azure.synapse.artifacts.models.DatasetResource or None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional["_models.DatasetResource"]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
request = build_get_dataset_request(
dataset_name=dataset_name,
api_version=api_version,
if_none_match=if_none_match,
template_url=self.get_dataset.metadata['url'],
)
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)
pipeline_response = await self._client._pipeline.run(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.CloudErrorAutoGenerated, pipeline_response)
raise HttpResponseError(response=response, model=error)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('DatasetResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_dataset.metadata = {'url': '/datasets/{datasetName}'} # type: ignore
async def _delete_dataset_initial(
self,
dataset_name: str,
**kwargs: Any
) -> None:
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
request = build_delete_dataset_request_initial(
dataset_name=dataset_name,
api_version=api_version,
template_url=self._delete_dataset_initial.metadata['url'],
)
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)
pipeline_response = await self._client._pipeline.run(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_dataset_initial.metadata = {'url': '/datasets/{datasetName}'} # type: ignore
[docs] @distributed_trace_async
async def begin_delete_dataset(
self,
dataset_name: str,
**kwargs: Any
) -> AsyncLROPoller[None]:
"""Deletes a dataset.
:param dataset_name: The dataset name.
:type dataset_name: str
:keyword api_version: Api Version. The default value is "2020-12-01". 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
"""
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
polling = kwargs.pop('polling', True) # type: Union[bool, azure.core.polling.AsyncPollingMethod]
cls = kwargs.pop('cls', None) # type: ClsType[None]
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_dataset_initial(
dataset_name=dataset_name,
api_version=api_version,
cls=lambda x,y,z: x,
**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 = AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
elif polling is False: polling_method = 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
)
else:
return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_delete_dataset.metadata = {'url': '/datasets/{datasetName}'} # type: ignore
async def _rename_dataset_initial(
self,
dataset_name: str,
new_name: Optional[str] = None,
**kwargs: Any
) -> None:
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
_request = _models.ArtifactRenameRequest(new_name=new_name)
_json = self._serialize.body(_request, 'ArtifactRenameRequest')
request = build_rename_dataset_request_initial(
dataset_name=dataset_name,
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self._rename_dataset_initial.metadata['url'],
)
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)
pipeline_response = await self._client._pipeline.run(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_dataset_initial.metadata = {'url': '/datasets/{datasetName}/rename'} # type: ignore
[docs] @distributed_trace_async
async def begin_rename_dataset(
self,
dataset_name: str,
new_name: Optional[str] = None,
**kwargs: Any
) -> AsyncLROPoller[None]:
"""Renames a dataset.
:param dataset_name: The dataset name.
:type dataset_name: str
:param new_name: New name of the artifact.
:type new_name: str
:keyword api_version: Api Version. The default value is "2020-12-01". 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
"""
api_version = kwargs.pop('api_version', "2020-12-01") # type: str
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
polling = kwargs.pop('polling', True) # type: Union[bool, azure.core.polling.AsyncPollingMethod]
cls = kwargs.pop('cls', None) # type: ClsType[None]
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_dataset_initial(
dataset_name=dataset_name,
new_name=new_name,
api_version=api_version,
content_type=content_type,
cls=lambda x,y,z: x,
**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 = AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
elif polling is False: polling_method = 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
)
else:
return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_rename_dataset.metadata = {'url': '/datasets/{datasetName}/rename'} # type: ignore