# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import functools
from typing import Any, Callable, Dict, Generic, List, Optional, TypeVar, Union
import warnings

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.rest import HttpRequest
from azure.core.tracing.decorator_async import distributed_trace_async

from ... import models as _models
from ..._vendor import _convert_request
from ...operations._bulk_runs_operations import build_cancel_flow_run_request, build_clone_flow_from_flow_run_request, build_get_flow_child_runs_request, build_get_flow_node_run_base_path_request, build_get_flow_node_runs_request, build_get_flow_run_info_request, build_get_flow_run_log_content_request, build_submit_bulk_run_request
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]

class BulkRunsOperations:
    """BulkRunsOperations 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: ~flow.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

    @distributed_trace_async
    async def submit_bulk_run(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        body: Optional["_models.SubmitBulkRunRequest"] = None,
        **kwargs: Any
    ) -> str:
        """submit_bulk_run.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param body:
        :type body: ~flow.models.SubmitBulkRunRequest
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: str, or the result of cls(response)
        :rtype: str
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[str]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]

        if body is not None:
            _json = self._serialize.body(body, 'SubmitBulkRunRequest')
        else:
            _json = None

        request = build_submit_bulk_run_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            content_type=content_type,
            json=_json,
            template_url=self.submit_bulk_run.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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)
            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        if response.status_code == 200:
            deserialized = self._deserialize('str', pipeline_response)

        if response.status_code == 202:
            deserialized = self._deserialize('str', pipeline_response)

        if response.status_code == 204:
            deserialized = self._deserialize('str', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    submit_bulk_run.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/submit'}  # type: ignore


    @distributed_trace_async
    async def cancel_flow_run(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        **kwargs: Any
    ) -> str:
        """cancel_flow_run.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: str, or the result of cls(response)
        :rtype: str
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[str]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_cancel_flow_run_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            template_url=self.cancel_flow_run.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('str', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    cancel_flow_run.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/cancel'}  # type: ignore


    @distributed_trace_async
    async def clone_flow_from_flow_run(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        body: Optional["_models.CreateFlowRequest"] = None,
        **kwargs: Any
    ) -> "_models.FlowDto":
        """clone_flow_from_flow_run.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :param body:
        :type body: ~flow.models.CreateFlowRequest
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: FlowDto, or the result of cls(response)
        :rtype: ~flow.models.FlowDto
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.FlowDto"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]

        if body is not None:
            _json = self._serialize.body(body, 'CreateFlowRequest')
        else:
            _json = None

        request = build_clone_flow_from_flow_run_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            content_type=content_type,
            json=_json,
            template_url=self.clone_flow_from_flow_run.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('FlowDto', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    clone_flow_from_flow_run.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/clone'}  # type: ignore


    @distributed_trace_async
    async def get_flow_run_info(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        **kwargs: Any
    ) -> "_models.FlowRunInfo":
        """get_flow_run_info.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: FlowRunInfo, or the result of cls(response)
        :rtype: ~flow.models.FlowRunInfo
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.FlowRunInfo"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_flow_run_info_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            template_url=self.get_flow_run_info.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('FlowRunInfo', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    get_flow_run_info.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}'}  # type: ignore


    @distributed_trace_async
    async def get_flow_child_runs(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        index: Optional[int] = None,
        start_index: Optional[int] = None,
        end_index: Optional[int] = None,
        **kwargs: Any
    ) -> List[Any]:
        """get_flow_child_runs.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :param index:
        :type index: int
        :param start_index:
        :type start_index: int
        :param end_index:
        :type end_index: int
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: list of any, or the result of cls(response)
        :rtype: list[any]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[List[Any]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_flow_child_runs_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            index=index,
            start_index=start_index,
            end_index=end_index,
            template_url=self.get_flow_child_runs.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('[object]', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    get_flow_child_runs.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/childRuns'}  # type: ignore


    @distributed_trace_async
    async def get_flow_node_runs(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        node_name: str,
        index: Optional[int] = None,
        start_index: Optional[int] = None,
        end_index: Optional[int] = None,
        aggregation: Optional[bool] = False,
        **kwargs: Any
    ) -> List[Any]:
        """get_flow_node_runs.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :param node_name:
        :type node_name: str
        :param index:
        :type index: int
        :param start_index:
        :type start_index: int
        :param end_index:
        :type end_index: int
        :param aggregation:
        :type aggregation: bool
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: list of any, or the result of cls(response)
        :rtype: list[any]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[List[Any]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_flow_node_runs_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            node_name=node_name,
            index=index,
            start_index=start_index,
            end_index=end_index,
            aggregation=aggregation,
            template_url=self.get_flow_node_runs.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('[object]', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    get_flow_node_runs.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/nodeRuns/{nodeName}'}  # type: ignore


    @distributed_trace_async
    async def get_flow_node_run_base_path(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        node_name: str,
        **kwargs: Any
    ) -> "_models.FlowRunBasePath":
        """get_flow_node_run_base_path.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :param node_name:
        :type node_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: FlowRunBasePath, or the result of cls(response)
        :rtype: ~flow.models.FlowRunBasePath
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.FlowRunBasePath"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_flow_node_run_base_path_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            node_name=node_name,
            template_url=self.get_flow_node_run_base_path.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('FlowRunBasePath', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    get_flow_node_run_base_path.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/nodeRuns/{nodeName}/basePath'}  # type: ignore


    @distributed_trace_async
    async def get_flow_run_log_content(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_run_id: str,
        **kwargs: Any
    ) -> str:
        """get_flow_run_log_content.

        :param subscription_id: The Azure Subscription ID.
        :type subscription_id: str
        :param resource_group_name: The Name of the resource group in which the workspace is located.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace.
        :type workspace_name: str
        :param flow_run_id:
        :type flow_run_id: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: str, or the result of cls(response)
        :rtype: str
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[str]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_flow_run_log_content_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_run_id=flow_run_id,
            template_url=self.get_flow_run_log_content.metadata['url'],
        )
        request = _convert_request(request)
        request.url = self._client.format_url(request.url)

        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.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('str', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized

    get_flow_run_log_content.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/logContent'}  # type: ignore

