# 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, Callable, Dict, Iterable, Optional, TypeVar, Union, cast
from msrest import Serializer
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.polling import LROPoller, NoPolling, PollingMethod
from azure.core.polling.base_polling import LROBasePolling
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict
from .. import models as _models
from .._vendor import _convert_request, _format_url_section
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False
def build_create_or_update_data_flow_request_initial(
data_flow_name: str,
*,
json: Optional[_models.DataFlowResource] = None,
content: Any = None,
if_match: Optional[str] = None,
**kwargs: Any
) -> HttpRequest:
_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', "2020-12-01")) # type: str
content_type = kwargs.pop('content_type', _headers.pop('Content-Type', None)) # type: Optional[str]
accept = _headers.pop('Accept', "application/json")
# Construct URL
_url = kwargs.pop("template_url", "/dataflows/{dataFlowName}")
path_format_arguments = {
"dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
# Construct headers
if if_match is not None:
_headers['If-Match'] = _SERIALIZER.header("if_match", if_match, 'str')
if content_type is not None:
_headers['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
_headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="PUT",
url=_url,
params=_params,
headers=_headers,
json=json,
content=content,
**kwargs
)
def build_get_data_flow_request(
data_flow_name: str,
*,
if_none_match: Optional[str] = None,
**kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2020-12-01")) # type: str
accept = _headers.pop('Accept', "application/json")
# Construct URL
_url = kwargs.pop("template_url", "/dataflows/{dataFlowName}")
path_format_arguments = {
"dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
# Construct headers
if if_none_match is not None:
_headers['If-None-Match'] = _SERIALIZER.header("if_none_match", if_none_match, 'str')
_headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="GET",
url=_url,
params=_params,
headers=_headers,
**kwargs
)
def build_delete_data_flow_request_initial(
data_flow_name: str,
**kwargs: Any
) -> HttpRequest:
_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', "2020-12-01")) # type: str
accept = _headers.pop('Accept', "application/json")
# Construct URL
_url = kwargs.pop("template_url", "/dataflows/{dataFlowName}")
path_format_arguments = {
"dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
# Construct headers
_headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="DELETE",
url=_url,
params=_params,
headers=_headers,
**kwargs
)
def build_rename_data_flow_request_initial(
data_flow_name: str,
*,
json: Optional[_models.ArtifactRenameRequest] = None,
content: Any = None,
**kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop('api_version', _params.pop('api-version', "2020-12-01")) # type: str
content_type = kwargs.pop('content_type', _headers.pop('Content-Type', None)) # type: Optional[str]
accept = _headers.pop('Accept', "application/json")
# Construct URL
_url = kwargs.pop("template_url", "/dataflows/{dataFlowName}/rename")
path_format_arguments = {
"dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
# Construct headers
if content_type is not None:
_headers['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
_headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="POST",
url=_url,
params=_params,
headers=_headers,
json=json,
content=content,
**kwargs
)
def build_get_data_flows_by_workspace_request(
**kwargs: Any
) -> HttpRequest:
_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', "2020-12-01")) # type: str
accept = _headers.pop('Accept', "application/json")
# Construct URL
_url = kwargs.pop("template_url", "/dataflows")
# Construct parameters
_params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
# Construct headers
_headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="GET",
url=_url,
params=_params,
headers=_headers,
**kwargs
)
[docs]class DataFlowOperations:
"""
.. warning::
**DO NOT** instantiate this class directly.
Instead, you should access the following operations through
:class:`~azure.synapse.artifacts.ArtifactsClient`'s
:attr:`data_flow` attribute.
"""
models = _models
def __init__(self, *args, **kwargs):
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")
def _create_or_update_data_flow_initial(
self,
data_flow_name: str,
properties: _models.DataFlow,
if_match: Optional[str] = None,
**kwargs: Any
) -> Optional[_models.DataFlowResource]:
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', "2020-12-01")) # 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.DataFlowResource]]
_data_flow = _models.DataFlowResource(properties=properties)
_json = self._serialize.body(_data_flow, 'DataFlowResource')
request = build_create_or_update_data_flow_request_initial(
data_flow_name=data_flow_name,
api_version=api_version,
content_type=content_type,
json=_json,
if_match=if_match,
template_url=self._create_or_update_data_flow_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 = 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('DataFlowResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
_create_or_update_data_flow_initial.metadata = {'url': "/dataflows/{dataFlowName}"} # type: ignore
[docs] @distributed_trace
def begin_create_or_update_data_flow(
self,
data_flow_name: str,
properties: _models.DataFlow,
if_match: Optional[str] = None,
**kwargs: Any
) -> LROPoller[_models.DataFlowResource]:
"""Creates or updates a data flow.
:param data_flow_name: The data flow name.
:type data_flow_name: str
:param properties: Data flow properties.
:type properties: ~azure.synapse.artifacts.models.DataFlow
:param if_match: ETag of the data flow 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 "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 LROBasePolling. 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.PollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
:return: An instance of LROPoller that returns either DataFlowResource or the result of
cls(response)
:rtype: ~azure.core.polling.LROPoller[~azure.synapse.artifacts.models.DataFlowResource]
: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', "2020-12-01")) # 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.DataFlowResource]
polling = kwargs.pop('polling', True) # type: Union[bool, PollingMethod]
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 = self._create_or_update_data_flow_initial( # type: ignore
data_flow_name=data_flow_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('DataFlowResource', 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(PollingMethod, LROBasePolling(
lro_delay,
path_format_arguments=path_format_arguments,
**kwargs
)) # type: PollingMethod
elif polling is False: polling_method = cast(PollingMethod, NoPolling())
else: polling_method = polling
if cont_token:
return LROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_create_or_update_data_flow.metadata = {'url': "/dataflows/{dataFlowName}"} # type: ignore
[docs] @distributed_trace
def get_data_flow(
self,
data_flow_name: str,
if_none_match: Optional[str] = None,
**kwargs: Any
) -> _models.DataFlowResource:
"""Gets a data flow.
:param data_flow_name: The data flow name.
:type data_flow_name: str
:param if_none_match: ETag of the data flow 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 "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: DataFlowResource, or the result of cls(response)
:rtype: ~azure.synapse.artifacts.models.DataFlowResource
: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', "2020-12-01")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[_models.DataFlowResource]
request = build_get_data_flow_request(
data_flow_name=data_flow_name,
api_version=api_version,
if_none_match=if_none_match,
template_url=self.get_data_flow.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 = 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]:
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 = self._deserialize('DataFlowResource', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_data_flow.metadata = {'url': "/dataflows/{dataFlowName}"} # type: ignore
def _delete_data_flow_initial( # pylint: disable=inconsistent-return-statements
self,
data_flow_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', "2020-12-01")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[None]
request = build_delete_data_flow_request_initial(
data_flow_name=data_flow_name,
api_version=api_version,
template_url=self._delete_data_flow_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 = 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_data_flow_initial.metadata = {'url': "/dataflows/{dataFlowName}"} # type: ignore
[docs] @distributed_trace
def begin_delete_data_flow( # pylint: disable=inconsistent-return-statements
self,
data_flow_name: str,
**kwargs: Any
) -> LROPoller[None]:
"""Deletes a data flow.
:param data_flow_name: The data flow name.
:type data_flow_name: str
:keyword api_version: Api Version. 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 LROBasePolling. 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.PollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
:return: An instance of LROPoller that returns either None or the result of cls(response)
:rtype: ~azure.core.polling.LROPoller[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', "2020-12-01")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[None]
polling = kwargs.pop('polling', True) # type: Union[bool, PollingMethod]
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 = self._delete_data_flow_initial( # type: ignore
data_flow_name=data_flow_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(PollingMethod, LROBasePolling(
lro_delay,
path_format_arguments=path_format_arguments,
**kwargs
)) # type: PollingMethod
elif polling is False: polling_method = cast(PollingMethod, NoPolling())
else: polling_method = polling
if cont_token:
return LROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_delete_data_flow.metadata = {'url': "/dataflows/{dataFlowName}"} # type: ignore
def _rename_data_flow_initial( # pylint: disable=inconsistent-return-statements
self,
data_flow_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', "2020-12-01")) # 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_data_flow_request_initial(
data_flow_name=data_flow_name,
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self._rename_data_flow_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 = 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_data_flow_initial.metadata = {'url': "/dataflows/{dataFlowName}/rename"} # type: ignore
[docs] @distributed_trace
def begin_rename_data_flow( # pylint: disable=inconsistent-return-statements
self,
data_flow_name: str,
new_name: Optional[str] = None,
**kwargs: Any
) -> LROPoller[None]:
"""Renames a dataflow.
:param data_flow_name: The data flow name.
:type data_flow_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 "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 LROBasePolling. 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.PollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
:return: An instance of LROPoller that returns either None or the result of cls(response)
:rtype: ~azure.core.polling.LROPoller[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', "2020-12-01")) # 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, PollingMethod]
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 = self._rename_data_flow_initial( # type: ignore
data_flow_name=data_flow_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(PollingMethod, LROBasePolling(
lro_delay,
path_format_arguments=path_format_arguments,
**kwargs
)) # type: PollingMethod
elif polling is False: polling_method = cast(PollingMethod, NoPolling())
else: polling_method = polling
if cont_token:
return LROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_rename_data_flow.metadata = {'url': "/dataflows/{dataFlowName}/rename"} # type: ignore
[docs] @distributed_trace
def get_data_flows_by_workspace(
self,
**kwargs: Any
) -> Iterable[_models.DataFlowListResponse]:
"""Lists data flows.
:keyword api_version: Api Version. 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 DataFlowListResponse or the result of
cls(response)
:rtype: ~azure.core.paging.ItemPaged[~azure.synapse.artifacts.models.DataFlowListResponse]
: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', "2020-12-01")) # type: str
cls = kwargs.pop('cls', None) # type: ClsType[_models.DataFlowListResponse]
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_data_flows_by_workspace_request(
api_version=api_version,
template_url=self.get_data_flows_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_data_flows_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
def extract_data(pipeline_response):
deserialized = self._deserialize("DataFlowListResponse", pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.next_link or None, iter(list_of_elem)
def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = 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 ItemPaged(
get_next, extract_data
)
get_data_flows_by_workspace.metadata = {'url': "/dataflows"} # type: ignore