# 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
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._tools_operations import build_get_dynamic_list_request, build_get_package_tools_request, build_get_samples_request, build_get_tool_meta_request, build_get_tool_meta_v2_request, build_get_tool_setting_request, build_retrieve_tool_func_result_request
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]

class ToolsOperations:
    """ToolsOperations 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 get_tool_setting(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        **kwargs: Any
    ) -> "_models.ToolSetting":
        """get_tool_setting.

        :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
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: ToolSetting, or the result of cls(response)
        :rtype: ~flow.models.ToolSetting
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ToolSetting"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_tool_setting_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            template_url=self.get_tool_setting.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('ToolSetting', pipeline_response)

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

        return deserialized

    get_tool_setting.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/setting'}  # type: ignore


    @distributed_trace_async
    async def get_samples(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        **kwargs: Any
    ) -> Dict[str, "_models.Tool"]:
        """get_samples.

        :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
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: dict mapping str to Tool, or the result of cls(response)
        :rtype: dict[str, ~flow.models.Tool]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[Dict[str, "_models.Tool"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_samples_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            template_url=self.get_samples.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('{Tool}', pipeline_response)

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

        return deserialized

    get_samples.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/samples'}  # type: ignore


    @distributed_trace_async
    async def get_tool_meta(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        tool_name: str,
        tool_type: str,
        endpoint_name: Optional[str] = None,
        flow_runtime_name: Optional[str] = None,
        flow_id: Optional[str] = None,
        data: Optional[str] = None,
        **kwargs: Any
    ) -> str:
        """get_tool_meta.

        :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 tool_name:
        :type tool_name: str
        :param tool_type:
        :type tool_type: str
        :param endpoint_name:
        :type endpoint_name: str
        :param flow_runtime_name:
        :type flow_runtime_name: str
        :param flow_id:
        :type flow_id: str
        :param data:
        :type data: 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', {}))

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

        _content = data

        request = build_get_tool_meta_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            content_type=content_type,
            tool_name=tool_name,
            tool_type=tool_type,
            content=_content,
            endpoint_name=endpoint_name,
            flow_runtime_name=flow_runtime_name,
            flow_id=flow_id,
            template_url=self.get_tool_meta.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_tool_meta.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta'}  # type: ignore


    @distributed_trace_async
    async def get_tool_meta_v2(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_runtime_name: Optional[str] = None,
        flow_id: Optional[str] = None,
        body: Optional["_models.GenerateToolMetaRequest"] = None,
        **kwargs: Any
    ) -> "_models.ToolMetaDto":
        """get_tool_meta_v2.

        :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_runtime_name:
        :type flow_runtime_name: str
        :param flow_id:
        :type flow_id: str
        :param body:
        :type body: ~flow.models.GenerateToolMetaRequest
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: ToolMetaDto, or the result of cls(response)
        :rtype: ~flow.models.ToolMetaDto
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ToolMetaDto"]
        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, 'GenerateToolMetaRequest')
        else:
            _json = None

        request = build_get_tool_meta_v2_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            content_type=content_type,
            json=_json,
            flow_runtime_name=flow_runtime_name,
            flow_id=flow_id,
            template_url=self.get_tool_meta_v2.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('ToolMetaDto', pipeline_response)

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

        return deserialized

    get_tool_meta_v2.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta-v2'}  # type: ignore


    @distributed_trace_async
    async def get_package_tools(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_runtime_name: Optional[str] = None,
        flow_id: Optional[str] = None,
        **kwargs: Any
    ) -> Dict[str, "_models.Tool"]:
        """get_package_tools.

        :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_runtime_name:
        :type flow_runtime_name: str
        :param flow_id:
        :type flow_id: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: dict mapping str to Tool, or the result of cls(response)
        :rtype: dict[str, ~flow.models.Tool]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType[Dict[str, "_models.Tool"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))

        
        request = build_get_package_tools_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            flow_runtime_name=flow_runtime_name,
            flow_id=flow_id,
            template_url=self.get_package_tools.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('{Tool}', pipeline_response)

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

        return deserialized

    get_package_tools.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/packageTools'}  # type: ignore


    @distributed_trace_async
    async def get_dynamic_list(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_runtime_name: Optional[str] = None,
        flow_id: Optional[str] = None,
        body: Optional["_models.GetDynamicListRequest"] = None,
        **kwargs: Any
    ) -> List[Any]:
        """get_dynamic_list.

        :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_runtime_name:
        :type flow_runtime_name: str
        :param flow_id:
        :type flow_id: str
        :param body:
        :type body: ~flow.models.GetDynamicListRequest
        :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', {}))

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

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

        request = build_get_dynamic_list_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            content_type=content_type,
            json=_json,
            flow_runtime_name=flow_runtime_name,
            flow_id=flow_id,
            template_url=self.get_dynamic_list.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_dynamic_list.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/dynamicList'}  # type: ignore


    @distributed_trace_async
    async def retrieve_tool_func_result(
        self,
        subscription_id: str,
        resource_group_name: str,
        workspace_name: str,
        flow_runtime_name: Optional[str] = None,
        flow_id: Optional[str] = None,
        body: Optional["_models.RetrieveToolFuncResultRequest"] = None,
        **kwargs: Any
    ) -> "_models.ToolFuncResponse":
        """retrieve_tool_func_result.

        :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_runtime_name:
        :type flow_runtime_name: str
        :param flow_id:
        :type flow_id: str
        :param body:
        :type body: ~flow.models.RetrieveToolFuncResultRequest
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: ToolFuncResponse, or the result of cls(response)
        :rtype: ~flow.models.ToolFuncResponse
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ToolFuncResponse"]
        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, 'RetrieveToolFuncResultRequest')
        else:
            _json = None

        request = build_retrieve_tool_func_result_request(
            subscription_id=subscription_id,
            resource_group_name=resource_group_name,
            workspace_name=workspace_name,
            content_type=content_type,
            json=_json,
            flow_runtime_name=flow_runtime_name,
            flow_id=flow_id,
            template_url=self.retrieve_tool_func_result.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('ToolFuncResponse', pipeline_response)

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

        return deserialized

    retrieve_tool_func_result.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/RetrieveToolFuncResult'}  # type: ignore

