**Autogenerated function**

Deletes a cost anomaly monitor by the specified monitor ARN as resource_id.

Args:
    name(Text): The Idem name of the anomaly monitor.
    resource_id(Text): Monitor ARN to identify the resource.

Returns:
    Dict[str, Any]

Examples:

    .. code-block:: sls

        cost_monitor1234:
          aws.costexplorer.anomaly_monitor.absent:
            - name: value
            - resource_id: cost_monitor1234

**Autogenerated function**

Describe the resource in a way that can be recreated/managed with the corresponding "present" function


Returns a list of aws cost anomaly monitors. If a monitor arn or name is specified, the list contains only
the description of that monitor.


Returns:
    Dict[str, Any]

Examples:

    .. code-block:: bash

        $ idem describe aws.costexplorer.anomaly_monitor

**Autogenerated function**

Creates a new cost anomaly detection monitor with the requested type and monitor specification.

Args:
    name(Text): An Idem name of the resource.
    resource_id(Text): Monitor ARN to identify the resource.
    monitor_name: Name of anomaly monitor.
    monitor_type(Text): Possible type values. Valid Values: DIMENSIONAL | CUSTOM
    monitor_dimension(Text): The dimensions to evaluate : SERVICE
    monitor_specification(Dict[str, Any], optional): Use Expression to filter by cost or by usage.
        There are two patterns:
            Simple dimension values
                - You can set the dimension name and values for the filters that you plan to use. For example,
                you can filter for REGION==us-east-1 OR REGION==us-west-1. For GetRightsizingRecommendation, the
                Region is a full name (for example, REGION==US East (N. Virginia). The Expression example is as
                follows:  { "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } }  The
                list of dimension values are OR'd together to retrieve cost or usage data. You can create
                Expression and DimensionValues objects using either with* methods or set* methods in multiple
                lines.
            Compound dimension values with logical operations
                - You can use multiple Expression types and the logical operators AND/OR/NOT to create a list of one or more Expression objects.
                By doing this, you can filter on more advanced options. For example, you can filter on ((REGION
                == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer).
                The Expression for that is as follows:  { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION",
                "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } }
                ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }    Because
                each Expression can have only one operator, the service returns an error if more than one is
                specified. The following example shows an Expression object that creates an error.    { "And": [
                ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }      For
                the GetRightsizingRecommendation action, a combination of OR and NOT isn't supported. OR isn't
                supported between different dimensions, or dimensions and tags. NOT operators aren't supported.
                Dimensions are also limited to LINKED_ACCOUNT, REGION, or RIGHTSIZING_TYPE. For the
                GetReservationPurchaseRecommendation action, only NOT is supported. AND and OR aren't supported.
                Dimensions are limited to LINKED_ACCOUNT.
            * Or (List[Dict[str, Any]], optional): Return results that match either Dimension object.
                * Or (List[Dict[str, Any]], optional): Return results that match either Dimension object.
                * And (List[Dict[str, Any]], optional): Return results that match both Dimension objects.
                * Not (Dict[str, Any], optional): Return results that don't match a Dimension object.
                * Dimensions (Dict[str, Any], optional): The specific Dimension to use for Expression.
                    * Key (str, optional): The names of the metadata types that you can use to filter and group your results. For example,
                        AZ returns a list of Availability Zones.
                    * Values (List[str], optional): The metadata values that you can use to filter and group your results. You can use
                        GetDimensionValues to find specific values.
                    * MatchOptions (List[str], optional): The match options that you can use to filter your results. MatchOptions is only applicable for
                        actions related to Cost Category. The default values for MatchOptions are EQUALS and
                        CASE_SENSITIVE.
                * Tags (Dict[str, Any], optional): The specific Tag to use for Expression.
                    * Key (str, optional): The key for the tag.
                    * Values (List[str], optional): The specific value of the tag.
                    * MatchOptions (List[str], optional): The match options that you can use to filter your results. MatchOptions is only applicable for
                        actions related to Cost Category. The default values for MatchOptions are EQUALS and
                        CASE_SENSITIVE.
                * CostCategories (Dict[str, Any], optional): The filter that's based on CostCategory values.
                    * Key (str, optional): The unique name of the Cost Category.
                    * Values (List[str], optional): The specific value of the Cost Category.
                    * MatchOptions (List[str], optional): The match options that you can use to filter your results. MatchOptions is only applicable for
                        actions related to cost category. The default values for MatchOptions is EQUALS and
                        CASE_SENSITIVE.
            * And (List[Dict[str, Any]], optional): Return results that match both Dimension objects.
            * Not (Dict[str, Any], optional): Return results that don't match a Dimension object.
            * Dimensions (Dict[str, Any], optional): The specific Dimension to use for Expression.
            * Tags (Dict[str, Any], optional): The specific Tag to use for Expression.
            * CostCategories (Dict[str, Any], optional): The filter that's based on CostCategory values.
Request Syntax:
    [monitor-resource-id]:
      aws.costexplorer.anomaly_monitor.present:
      - resource_id: 'string'
      - monitor_name: 'string'
      - monitor_type: 'string'
      - monitor_specification:
        - Dimensions: 'dict'

Returns:
    Dict[str, str]

Examples:

    .. code-block:: sls

        cost_monitor1234:
          aws.costexplorer.anomaly_monitor.present:
          - name: cost_monitor1234
          - resource_id: cost_monitor1234
          - monitor_specification:
            Dimensions:
              Key: LINKED_ACCOUNT
              Values:
                - '820272282974'
          - monitor_type: CUSTOM