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
  from typing import TYPE_CHECKING
  import warnings
  
  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 HttpRequest, HttpResponse
  from azure.mgmt.core.exceptions import ARMErrorFormat
  
  from .. import models
  
  if TYPE_CHECKING:
      # pylint: disable=unused-import,ungrouped-imports
      from typing import Any, Callable, Dict, Generic, Iterable, Optional, TypeVar, Union
  
      T = TypeVar('T')
      ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
  
  class BaselinesOperations(object):
      """BaselinesOperations 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).v2019_03_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
  
      def list(
          self,
          resource_uri,  # type: str
          metricnames=None,  # type: Optional[str]
          metricnamespace=None,  # type: Optional[str]
          timespan=None,  # type: Optional[str]
          interval=None,  # type: Optional[datetime.timedelta]
          aggregation=None,  # type: Optional[str]
          sensitivities=None,  # type: Optional[str]
          filter=None,  # type: Optional[str]
          result_type=None,  # type: Optional[Union[str, "models.ResultType"]]
          **kwargs  # type: Any
      ):
          # type: (...) -> Iterable["models.MetricBaselinesResponse"]
          """**Lists the metric baseline values for a resource**.
  
          :param resource_uri: The identifier of the resource.
          :type resource_uri: str
          :param metricnames: The names of the metrics (comma separated) to retrieve.
          :type metricnames: str
          :param metricnamespace: Metric namespace to query metric definitions for.
          :type metricnamespace: 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 list of aggregation types (comma separated) to retrieve.
          :type aggregation: str
          :param sensitivities: The list of sensitivities (comma separated) to retrieve.
          :type sensitivities: str
          :param filter: The **$filter** is used to reduce the set of metric data
           returned.:code:`<br>`Example::code:`<br>`Metric contains metadata A, B and C.:code:`<br>`-
           Return all time series of C where A = a1 and B = b1 or b2:code:`<br>`\ **$filter=A eq ‘a1’ and
           B eq ‘b1’ or B eq ‘b2’ and C eq ‘*’**\ :code:`<br>`- Invalid variant::code:`<br>`\ **$filter=A
           eq ‘a1’ and B eq ‘b1’ and C eq ‘*’ or B = ‘b2’**\ :code:`<br>`This is invalid because the
           logical or operator cannot separate two different metadata names.:code:`<br>`- Return all time
           series where A = a1, B = b1 and C = c1::code:`<br>`\ **$filter=A eq ‘a1’ and B eq ‘b1’ and C eq
           ‘c1’**\ :code:`<br>`- Return all time series where A = a1:code:`<br>`\ **$filter=A eq ‘a1’ and
           B eq ‘\ *’ and C eq ‘*\ ’**.
          :type filter: str
          :param result_type: Allows retrieving only metadata of the baseline. On data request all
           information is retrieved.
          :type result_type: str or ~$(python-base-namespace).v2019_03_01.models.ResultType
          :keyword callable cls: A custom type or function that will be passed the direct response
          :return: An iterator like instance of either MetricBaselinesResponse or the result of cls(response)
          :rtype: ~azure.core.paging.ItemPaged[~$(python-base-namespace).v2019_03_01.models.MetricBaselinesResponse]
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          cls = kwargs.pop('cls', None)  # type: ClsType["models.MetricBaselinesResponse"]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
          api_version = "2019-03-01"
          accept = "application/json"
  
          def prepare_request(next_link=None):
              # Construct headers
              header_parameters = {}  # type: Dict[str, Any]
              header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
  
              if not next_link:
                  # Construct URL
                  url = self.list.metadata['url']  # type: ignore
                  path_format_arguments = {
                      'resourceUri': self._serialize.url("resource_uri", resource_uri, 'str', skip_quote=True),
                  }
                  url = self._client.format_url(url, **path_format_arguments)
                  # Construct parameters
                  query_parameters = {}  # type: Dict[str, Any]
                  if metricnames is not None:
                      query_parameters['metricnames'] = self._serialize.query("metricnames", metricnames, 'str')
                  if metricnamespace is not None:
                      query_parameters['metricnamespace'] = self._serialize.query("metricnamespace", metricnamespace, 'str')
                  if timespan is not None:
                      query_parameters['timespan'] = self._serialize.query("timespan", timespan, 'str')
                  if interval is not None:
                      query_parameters['interval'] = self._serialize.query("interval", interval, 'duration')
                  if aggregation is not None:
                      query_parameters['aggregation'] = self._serialize.query("aggregation", aggregation, 'str')
                  if sensitivities is not None:
                      query_parameters['sensitivities'] = self._serialize.query("sensitivities", sensitivities, 'str')
                  if filter is not None:
                      query_parameters['$filter'] = self._serialize.query("filter", filter, 'str')
                  if result_type is not None:
                      query_parameters['resultType'] = self._serialize.query("result_type", result_type, 'str')
                  query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
  
                  request = self._client.get(url, query_parameters, header_parameters)
              else:
                  url = next_link
                  query_parameters = {}  # type: Dict[str, Any]
                  request = self._client.get(url, query_parameters, header_parameters)
              return request
  
          def extract_data(pipeline_response):
              deserialized = self._deserialize('MetricBaselinesResponse', pipeline_response)
              list_of_elem = deserialized.value
              if cls:
                  list_of_elem = cls(list_of_elem)
              return None, iter(list_of_elem)
  
          def get_next(next_link=None):
              request = prepare_request(next_link)
  
              pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
              response = pipeline_response.http_response
  
              if response.status_code not in [200]:
                  error = self._deserialize(models.ErrorResponse, response)
                  map_error(status_code=response.status_code, response=response, error_map=error_map)
                  raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
  
              return pipeline_response
  
          return ItemPaged(
              get_next, extract_data
          )
      list.metadata = {'url': '/{resourceUri}/providers/microsoft.insights/metricBaselines'}  # type: ignore
  