text: # coding=utf-8
  # --------------------------------------------------------------------------
  # Copyright (c) Microsoft Corporation. All rights reserved.
  # Licensed under the MIT License. See License.txt in the project root for license information.
  # Code generated by Microsoft (R) AutoRest Code Generator.
  # Changes may cause incorrect behavior and will be lost if the code is regenerated.
  # --------------------------------------------------------------------------
  import datetime
  import functools
  from typing import Any, Callable, Dict, Generic, 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 HttpResponse
  from azure.core.rest import HttpRequest
  from azure.core.tracing.decorator import distributed_trace
  from azure.mgmt.core.exceptions import ARMErrorFormat
  from msrest import Serializer
  
  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_get_request(
      resource_uri: str,
      *,
      metricnames: Optional[str] = None,
      timespan: Optional[str] = None,
      interval: Optional[datetime.timedelta] = None,
      aggregation: Optional[str] = None,
      sensitivities: Optional[str] = None,
      result_type: Optional[Union[str, "_models.ResultType"]] = None,
      metricnamespace: Optional[str] = None,
      filter: Optional[str] = None,
      **kwargs: Any
  ) -> HttpRequest:
      api_version = "2018-09-01"
      accept = "application/json"
      # Construct URL
      url = kwargs.pop("template_url", '/{resourceUri}/providers/Microsoft.Insights/baseline')
      path_format_arguments = {
          "resourceUri": _SERIALIZER.url("resource_uri", resource_uri, 'str', skip_quote=True),
      }
  
      url = _format_url_section(url, **path_format_arguments)
  
      # Construct parameters
      query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
      if metricnames is not None:
          query_parameters['metricnames'] = _SERIALIZER.query("metricnames", metricnames, 'str')
      if timespan is not None:
          query_parameters['timespan'] = _SERIALIZER.query("timespan", timespan, 'str')
      if interval is not None:
          query_parameters['interval'] = _SERIALIZER.query("interval", interval, 'duration')
      if aggregation is not None:
          query_parameters['aggregation'] = _SERIALIZER.query("aggregation", aggregation, 'str')
      if sensitivities is not None:
          query_parameters['sensitivities'] = _SERIALIZER.query("sensitivities", sensitivities, 'str')
      if result_type is not None:
          query_parameters['resultType'] = _SERIALIZER.query("result_type", result_type, 'str')
      query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
      if metricnamespace is not None:
          query_parameters['metricnamespace'] = _SERIALIZER.query("metricnamespace", metricnamespace, 'str')
      if filter is not None:
          query_parameters['$filter'] = _SERIALIZER.query("filter", filter, 'str')
  
      # Construct headers
      header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
      header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
  
      return HttpRequest(
          method="GET",
          url=url,
          params=query_parameters,
          headers=header_parameters,
          **kwargs
      )
  
  class BaselineOperations(object):
      """BaselineOperations 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: ~$(python-base-namespace).v2018_09_01.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):
          self._client = client
          self._serialize = serializer
          self._deserialize = deserializer
          self._config = config
  
      @distributed_trace
      def get(
          self,
          resource_uri: str,
          metricnames: Optional[str] = None,
          timespan: Optional[str] = None,
          interval: Optional[datetime.timedelta] = None,
          aggregation: Optional[str] = None,
          sensitivities: Optional[str] = None,
          result_type: Optional[Union[str, "_models.ResultType"]] = None,
          metricnamespace: Optional[str] = None,
          filter: Optional[str] = None,
          **kwargs: Any
      ) -> "_models.BaselineResponse":
          """**Gets the baseline values for a resource**.
  
          :param resource_uri: The identifier of the resource. It has the following structure:
           subscriptions/{subscriptionName}/resourceGroups/{resourceGroupName}/providers/{providerName}/{resourceName}.
           For example:
           subscriptions/b368ca2f-e298-46b7-b0ab-012281956afa/resourceGroups/vms/providers/Microsoft.Compute/virtualMachines/vm1.
          :type resource_uri: str
          :param metricnames: The names of the metrics (comma separated) to retrieve. Special case: If a
           metricname itself has a comma in it then use %2 to indicate it. Eg: 'Metric,Name1' should be
           **'Metric%2Name1'**.
          :type metricnames: str
          :param timespan: The timespan of the query. It is a string with the following format
           'startDateTime_ISO/endDateTime_ISO'.
          :type timespan: str
          :param interval: The interval (i.e. timegrain) of the query.
          :type interval: ~datetime.timedelta
          :param aggregation: The aggregation type of the metric to retrieve the baseline for.
          :type aggregation: str
          :param sensitivities: The list of sensitivities (comma separated) to retrieve.
          :type sensitivities: str
          :param result_type: Allows retrieving only metadata of the baseline. On data request all
           information is retrieved.
          :type result_type: str or ~$(python-base-namespace).v2018_09_01.models.ResultType
          :param metricnamespace: Metric namespace to query metric definitions for.
          :type metricnamespace: str
          :param filter: The **$filter** is used to describe a set of dimensions with their concrete
           values which produce a specific metric's time series, in which a baseline is requested for.
          :type filter: str
          :keyword callable cls: A custom type or function that will be passed the direct response
          :return: BaselineResponse, or the result of cls(response)
          :rtype: ~$(python-base-namespace).v2018_09_01.models.BaselineResponse
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          cls = kwargs.pop('cls', None)  # type: ClsType["_models.BaselineResponse"]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
  
          
          request = build_get_request(
              resource_uri=resource_uri,
              metricnames=metricnames,
              timespan=timespan,
              interval=interval,
              aggregation=aggregation,
              sensitivities=sensitivities,
              result_type=result_type,
              metricnamespace=metricnamespace,
              filter=filter,
              template_url=self.get.metadata['url'],
          )
          request = _convert_request(request)
          request.url = self._client.format_url(request.url)
  
          pipeline_response = 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, error_format=ARMErrorFormat)
  
          deserialized = self._deserialize('BaselineResponse', pipeline_response)
  
          if cls:
              return cls(pipeline_response, deserialized, {})
  
          return deserialized
  
      get.metadata = {'url': '/{resourceUri}/providers/Microsoft.Insights/baseline'}  # type: ignore
  
  