# 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
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False
def build_create_data_flow_debug_session_request_initial(
*,
json: Optional[_models.CreateDataFlowDebugSessionRequest] = 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", "/createDataFlowDebugSession")
# 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_query_data_flow_debug_sessions_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", "/queryDataFlowDebugSessions")
# Construct parameters
_params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
# Construct headers
_headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="POST",
url=_url,
params=_params,
headers=_headers,
**kwargs
)
def build_add_data_flow_request(
*,
json: Optional[_models.DataFlowDebugPackage] = 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", "/addDataFlowToDebugSession")
# 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_delete_data_flow_debug_session_request(
*,
json: Optional[_models.DeleteDataFlowDebugSessionRequest] = 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", "/deleteDataFlowDebugSession")
# 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_execute_command_request_initial(
*,
json: Optional[_models.DataFlowDebugCommandRequest] = 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", "/executeDataFlowDebugCommand")
# 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
)
[docs]class DataFlowDebugSessionOperations:
"""
.. warning::
**DO NOT** instantiate this class directly.
Instead, you should access the following operations through
:class:`~azure.synapse.artifacts.ArtifactsClient`'s
:attr:`data_flow_debug_session` 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_data_flow_debug_session_initial(
self,
request: _models.CreateDataFlowDebugSessionRequest,
**kwargs: Any
) -> Optional[_models.CreateDataFlowDebugSessionResponse]:
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.CreateDataFlowDebugSessionResponse]]
_json = self._serialize.body(request, 'CreateDataFlowDebugSessionRequest')
request = build_create_data_flow_debug_session_request_initial(
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self._create_data_flow_debug_session_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
response_headers = {}
if response.status_code == 200:
deserialized = self._deserialize('CreateDataFlowDebugSessionResponse', pipeline_response)
if response.status_code == 202:
response_headers['location']=self._deserialize('str', response.headers.get('location'))
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
_create_data_flow_debug_session_initial.metadata = {'url': "/createDataFlowDebugSession"} # type: ignore
[docs] @distributed_trace
def begin_create_data_flow_debug_session(
self,
request: _models.CreateDataFlowDebugSessionRequest,
**kwargs: Any
) -> LROPoller[_models.CreateDataFlowDebugSessionResponse]:
"""Creates a data flow debug session.
:param request: Data flow debug session definition.
:type request: ~azure.synapse.artifacts.models.CreateDataFlowDebugSessionRequest
: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 CreateDataFlowDebugSessionResponse or the
result of cls(response)
:rtype:
~azure.core.polling.LROPoller[~azure.synapse.artifacts.models.CreateDataFlowDebugSessionResponse]
: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.CreateDataFlowDebugSessionResponse]
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_data_flow_debug_session_initial( # type: ignore
request=request,
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('CreateDataFlowDebugSessionResponse', 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_data_flow_debug_session.metadata = {'url': "/createDataFlowDebugSession"} # type: ignore
[docs] @distributed_trace
def query_data_flow_debug_sessions_by_workspace(
self,
**kwargs: Any
) -> Iterable[_models.QueryDataFlowDebugSessionsResponse]:
"""Query all active data flow debug sessions.
: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 QueryDataFlowDebugSessionsResponse or the result
of cls(response)
:rtype:
~azure.core.paging.ItemPaged[~azure.synapse.artifacts.models.QueryDataFlowDebugSessionsResponse]
: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.QueryDataFlowDebugSessionsResponse]
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_query_data_flow_debug_sessions_by_workspace_request(
api_version=api_version,
template_url=self.query_data_flow_debug_sessions_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_query_data_flow_debug_sessions_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("QueryDataFlowDebugSessionsResponse", 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
)
query_data_flow_debug_sessions_by_workspace.metadata = {'url': "/queryDataFlowDebugSessions"} # type: ignore
[docs] @distributed_trace
def add_data_flow(
self,
request: _models.DataFlowDebugPackage,
**kwargs: Any
) -> _models.AddDataFlowToDebugSessionResponse:
"""Add a data flow into debug session.
:param request: Data flow debug session definition with debug content.
:type request: ~azure.synapse.artifacts.models.DataFlowDebugPackage
: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: AddDataFlowToDebugSessionResponse, or the result of cls(response)
:rtype: ~azure.synapse.artifacts.models.AddDataFlowToDebugSessionResponse
:raises: ~azure.core.exceptions.HttpResponseError
"""
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[_models.AddDataFlowToDebugSessionResponse]
_json = self._serialize.body(request, 'DataFlowDebugPackage')
request = build_add_data_flow_request(
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self.add_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('AddDataFlowToDebugSessionResponse', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
add_data_flow.metadata = {'url': "/addDataFlowToDebugSession"} # type: ignore
[docs] @distributed_trace
def delete_data_flow_debug_session( # pylint: disable=inconsistent-return-statements
self,
request: _models.DeleteDataFlowDebugSessionRequest,
**kwargs: Any
) -> None:
"""Deletes a data flow debug session.
:param request: Data flow debug session definition for deletion.
:type request: ~azure.synapse.artifacts.models.DeleteDataFlowDebugSessionRequest
: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: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
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]
_json = self._serialize.body(request, 'DeleteDataFlowDebugSessionRequest')
request = build_delete_data_flow_debug_session_request(
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self.delete_data_flow_debug_session.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)
if cls:
return cls(pipeline_response, None, {})
delete_data_flow_debug_session.metadata = {'url': "/deleteDataFlowDebugSession"} # type: ignore
def _execute_command_initial(
self,
request: _models.DataFlowDebugCommandRequest,
**kwargs: Any
) -> Optional[_models.DataFlowDebugCommandResponse]:
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.DataFlowDebugCommandResponse]]
_json = self._serialize.body(request, 'DataFlowDebugCommandRequest')
request = build_execute_command_request_initial(
api_version=api_version,
content_type=content_type,
json=_json,
template_url=self._execute_command_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
response_headers = {}
if response.status_code == 200:
deserialized = self._deserialize('DataFlowDebugCommandResponse', pipeline_response)
if response.status_code == 202:
response_headers['location']=self._deserialize('str', response.headers.get('location'))
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
_execute_command_initial.metadata = {'url': "/executeDataFlowDebugCommand"} # type: ignore
[docs] @distributed_trace
def begin_execute_command(
self,
request: _models.DataFlowDebugCommandRequest,
**kwargs: Any
) -> LROPoller[_models.DataFlowDebugCommandResponse]:
"""Execute a data flow debug command.
:param request: Data flow debug command definition.
:type request: ~azure.synapse.artifacts.models.DataFlowDebugCommandRequest
: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 DataFlowDebugCommandResponse or the
result of cls(response)
:rtype:
~azure.core.polling.LROPoller[~azure.synapse.artifacts.models.DataFlowDebugCommandResponse]
: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.DataFlowDebugCommandResponse]
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._execute_command_initial( # type: ignore
request=request,
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('DataFlowDebugCommandResponse', 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_execute_command.metadata = {'url': "/executeDataFlowDebugCommand"} # type: ignore