# Compute Engine API . autoscalers

## Instance Methods

Retrieves an aggregated list of autoscalers.

Retrieves the next page of results.

Close httplib2 connections.

Deletes the specified autoscaler.

Returns the specified autoscaler resource.

Creates an autoscaler in the specified project using the data

Retrieves a list of autoscalers contained within

Retrieves the next page of results.

Updates an autoscaler in the specified project using the data

Returns permissions that a caller has on the specified resource.

Updates an autoscaler in the specified project using the data

### Method Details

`aggregatedList(project, filter=None, includeAllScopes=None, maxResults=None, orderBy=None, pageToken=None, returnPartialSuccess=None, serviceProjectNumber=None, x__xgafv=None)`

    Retrieves an aggregated list of autoscalers.

    To prevent failure, Google recommends that you set the
    `returnPartialSuccess` parameter to `true`.

    Args:
      project: string, Project ID for this request. (required)
      filter: string, A filter expression that filters resources listed in the response. Most
    Compute resources support two types of filter expressions:
    expressions that support regular expressions and expressions that follow
    API improvement proposal AIP-160.
    These two types of filter expressions cannot be mixed in one request.

    If you want to use AIP-160, your expression must specify the field name, an
    operator, and the value that you want to use for filtering. The value
    must be a string, a number, or a boolean. The operator
    must be either `=`, `!=`, `>`, `<`, `<=`, `>=` or `:`.

    For example, if you are filtering Compute Engine instances, you can
    exclude instances named `example-instance` by specifying
    `name != example-instance`.

    The `:*` comparison can be used to test whether a key has been defined.
    For example, to find all objects with `owner` label use:
    ```
    labels.owner:*
    ```

    You can also filter nested fields. For example, you could specify
    `scheduling.automaticRestart = false` to include instances only
    if they are not scheduled for automatic restarts. You can use filtering
    on nested fields to filter based onresource labels.

    To filter on multiple expressions, provide each separate expression within
    parentheses. For example:
    ```
    (scheduling.automaticRestart = true)
    (cpuPlatform = "Intel Skylake")
    ```
    By default, each expression is an `AND` expression. However, you
    can include `AND` and `OR` expressions explicitly.
    For example:
    ```
    (cpuPlatform = "Intel Skylake") OR
    (cpuPlatform = "Intel Broadwell") AND
    (scheduling.automaticRestart = true)
    ```

    If you want to use a regular expression, use the `eq` (equal) or `ne`
    (not equal) operator against a single un-parenthesized expression with or
    without quotes or against multiple parenthesized expressions. Examples:

    `fieldname eq unquoted literal`
    `fieldname eq 'single quoted literal'`
    `fieldname eq "double quoted literal"`
    `(fieldname1 eq literal) (fieldname2 ne "literal")`

    The literal value is interpreted as a regular expression using GoogleRE2 library syntax.
    The literal value must match the entire field.

    For example, to filter for instances that do not end with name "instance",
    you would use `name ne .*instance`.

    You cannot combine constraints on multiple fields using regular
    expressions.
      includeAllScopes: boolean, Indicates whether every visible scope for each scope type (zone, region,
    global) should be included in the response. For new resource types added
    after this field, the flag has no effect as new resource types will always
    include every visible scope for each scope type in response. For resource
    types which predate this field, if this flag is omitted or false, only
    scopes of the scope types where the resource type is expected to be found
    will be included.
      maxResults: integer, The maximum number of results per page that should be returned.
    If the number of available results is larger than `maxResults`,
    Compute Engine returns a `nextPageToken` that can be used to get
    the next page of results in subsequent list requests. Acceptable values are
    `0` to `500`, inclusive. (Default: `500`)
      orderBy: string, Sorts list results by a certain order. By default, results
    are returned in alphanumerical order based on the resource name.

    You can also sort results in descending order based on the creation
    timestamp using `orderBy="creationTimestamp desc"`. This sorts
    results based on the `creationTimestamp` field in
    reverse chronological order (newest result first). Use this to sort
    resources like operations so that the newest operation is returned first.

    Currently, only sorting by `name` or
    `creationTimestamp desc` is supported.
      pageToken: string, Specifies a page token to use. Set `pageToken` to the
    `nextPageToken` returned by a previous list request to get
    the next page of results.
      returnPartialSuccess: boolean, Opt-in for partial success behavior which provides partial results in case
    of failure. The default value is false.

    For example, when partial success behavior is enabled, aggregatedList for a
    single zone scope either returns all resources in the zone or no resources,
    with an error code.
      serviceProjectNumber: string, The Shared VPC service project id or service project number for which
    aggregated list request is invoked for subnetworks list-usable api.
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        {
      "id": "A String", # [Output Only] Unique identifier for the resource; defined by the server.
      "items": { # A list of AutoscalersScopedList resources.
        "a_key": { # [Output Only] Name of the scope containing this set of autoscalers.
          "autoscalers": [ # [Output Only] A list of autoscalers contained in this scope.
            { # Represents an Autoscaler resource.
                #
                # Google Compute Engine has two Autoscaler resources:
                #
                # * [Zonal](/compute/docs/reference/rest/alpha/autoscalers)
                # * [Regional](/compute/docs/reference/rest/alpha/regionAutoscalers)
                #
                # Use autoscalers to automatically add or delete instances from a
                # managed instance group according to your defined autoscaling policy.
                # For more information, read Autoscaling Groups of Instances.
                #
                # For zonal managed instance groups resource, use the autoscaler
                # resource.
                #
                # For regional managed instance groups, use theregionAutoscalers resource.
              "autoscalingPolicy": { # Cloud Autoscaler policy. # The configuration parameters for the autoscaling algorithm. You can define
                  # one or more signals for an autoscaler: cpuUtilization,customMetricUtilizations, andloadBalancingUtilization.
                  #
                  # If none of these are specified, the default will be to autoscale based oncpuUtilization to 0.6 or 60%.
                "coolDownPeriodSec": 42, # The number of seconds that your application takes to initialize on a VM
                    # instance. This is referred to as the
                    # [initialization period](/compute/docs/autoscaler#cool_down_period).
                    # Specifying an accurate initialization period improves
                    # autoscaler decisions. For example, when scaling out, the autoscaler ignores
                    # data from VMs that are still initializing because those VMs might not yet
                    # represent normal usage of your application. The default initialization
                    # period is 60 seconds.
                    #
                    # Initialization periods might vary because of numerous
                    # factors. We recommend that you test how long your application takes to
                    # initialize. To do this, create a VM and time your application's startup
                    # process.
                "cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale
                    # based on the average CPU utilization of a managed instance group.
                  "predictiveMethod": "A String", # Indicates whether predictive autoscaling based on CPU metric is enabled.
                      # Valid values are:
                      #
                      # * NONE (default). No predictive method is used. The autoscaler scales the
                      # group to meet current demand based on real-time metrics.
                      # * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by
                      # monitoring daily and weekly load patterns and scaling out ahead of
                      # anticipated demand.
                  "utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be
                      # a float value in the range (0, 1]. If not specified, the default is0.6.
                      #
                      # If the CPU level is below the target utilization, the autoscaler scales
                      # in the number of instances until it reaches the minimum number of
                      # instances you specified or until the average CPU of your instances
                      # reaches the target utilization.
                      #
                      # If the average CPU is above the target utilization, the autoscaler
                      # scales out until it reaches the maximum number of instances you
                      # specified or until the average utilization reaches the target
                      # utilization.
                },
                "customMetricUtilizations": [ # Configuration parameters of autoscaling based on a custom metric.
                  { # Custom utilization metric policy.
                    "filter": "A String", # A filter string, compatible with a Stackdriver Monitoringfilter string forTimeSeries.list API call. This filter is
                        # used to select a specific TimeSeries for the purpose of autoscaling and
                        # to determine whether the metric is exporting per-instance or
                        # per-group data.
                        #
                        # For the filter to be valid for autoscaling purposes, the following rules
                        # apply:
                        #
                        #
                        #     - You can only use the AND operator for joining
                        #        selectors.
                        #     - You can only use direct equality comparison operator
                        #        (=) without any functions for each selector.
                        #     - You can specify the metric in both the filter string and in the
                        #        metric field. However, if specified in both places, the metric must
                        #        be identical.
                        #     - The monitored resource type
                        #        determines what kind of values are expected for the metric. If it is
                        #        a gce_instance, the autoscaler expects the metric to
                        #        include a separate TimeSeries for each instance in a group. In such a
                        #        case, you cannot filter on resource labels.
                        #
                        #
                        #    If the resource type is any other value, the autoscaler expects
                        #        this metric to contain values that apply to the entire autoscaled
                        #        instance group and resource label filtering can be performed to
                        #        point autoscaler at the correct TimeSeries to scale upon. This is
                        #        called a *per-group metric* for the purpose of autoscaling.
                        #
                        #        If not specified, the type defaults to
                        #        gce_instance.
                        #
                        #
                        #
                        # Try to provide a filter that is selective enough to pick just one
                        # TimeSeries for the autoscaled group or for each of the instances (if you
                        # are using gce_instance resource type). If multiple
                        # TimeSeries are returned upon the query execution, the autoscaler will sum
                        # their respective values to obtain its scaling value.
                    "metric": "A String", # The identifier (type) of the Stackdriver Monitoring metric. The metric
                        # cannot have negative values.
                        #
                        # The metric must have a value type of INT64 orDOUBLE.
                    "singleInstanceAssignment": 3.14, # If scaling is based on a per-group metric value that represents the
                        # total amount of work to be done or resource usage, set this value to an
                        # amount assigned for a single instance of the scaled group. Autoscaler
                        # keeps the number of instances proportional to the value of this
                        # metric. The metric itself does not change value due to group
                        # resizing.
                        #
                        # A good metric to use with the target is for examplepubsub.googleapis.com/subscription/num_undelivered_messages
                        # or a custom metric exporting the total number of requests coming to
                        # your instances.
                        #
                        # A bad example would be a metric exporting an average or median latency,
                        # since this value can't include a chunk assignable to a single instance,
                        # it could be better used with utilization_target instead.
                    "utilizationTarget": 3.14, # The target value of the metric that autoscaler maintains. This
                        # must be a positive value. A utilization metric scales number of
                        # virtual machines handling requests to increase or decrease
                        # proportionally to the metric.
                        #
                        # For example, a good metric to use as a utilization_target ishttps://www.googleapis.com/compute/v1/instance/network/received_bytes_count.
                        # The autoscaler works to keep this value constant for each of the
                        # instances.
                    "utilizationTargetType": "A String", # Defines how target utilization value is expressed for a Stackdriver
                        # Monitoring metric. Either GAUGE,DELTA_PER_SECOND, or DELTA_PER_MINUTE.
                  },
                ],
                "loadBalancingUtilization": { # Configuration parameters of autoscaling based on load balancing. # Configuration parameters of autoscaling based on load balancer.
                  "utilizationTarget": 3.14, # Fraction of backend capacity utilization (set in HTTP(S) load balancing
                      # configuration) that the autoscaler maintains. Must be a positive float
                      # value. If not defined, the default is 0.8.
                },
                "maxNumReplicas": 42, # The maximum number of instances that the autoscaler can scale out to. This
                    # is required when creating or updating an autoscaler. The maximum number
                    # of replicas must not be lower than minimal number of replicas.
                "minNumReplicas": 42, # The minimum number of replicas that the autoscaler can scale in to.
                    # This cannot be less than 0. If not provided, autoscaler chooses a
                    # default value depending on maximum number of instances allowed.
                "mode": "A String", # Defines the operating mode for this policy.
                    # The following modes are available:
                    #
                    #    - OFF: Disables the autoscaler but maintains its
                    #    configuration.
                    #    - ONLY_SCALE_OUT: Restricts the autoscaler to add
                    #    VM instances only.
                    #    - ON: Enables all autoscaler activities according to its
                    #    policy.
                    #
                    #
                    # For more information, see
                    # "Turning off or restricting an autoscaler"
                "scaleDownControl": { # Configuration that allows for slower scale in so that even if Autoscaler
                    # recommends an abrupt scale in of a MIG, it will be throttled as specified
                    # by the parameters below.
                  "maxScaledDownReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
                      # recommendation during the window autoscaler looks at when computing
                      # recommendations. Possibly all these VMs can be deleted at once so user
                      # service needs to be prepared to lose that many VMs in one step.
                    "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                        # specific mode.
                        #
                        #
                        #
                        #     - If the value is fixed, then the calculated
                        #      value is equal to the fixed value.
                        #     - If the value is a percent, then the
                        #     calculated
                        #      value is percent/100 * targetSize. For example,
                        #      the calculated value of a 80% of a managed instance group
                        #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                        #      is a remainder, the number is rounded.
                    "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
                    "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                        # example, specify 80 for 80%.
                  },
                  "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
                      # include directives regarding slower scale in, as described above.
                },
                "scaleInControl": { # Configuration that allows for slower scale in so that even if Autoscaler
                    # recommends an abrupt scale in of a MIG, it will be throttled as specified
                    # by the parameters below.
                  "maxScaledInReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
                      # recommendation during the window autoscaler looks at when computing
                      # recommendations. Possibly all these VMs can be deleted at once so user
                      # service needs to be prepared to lose that many VMs in one step.
                    "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                        # specific mode.
                        #
                        #
                        #
                        #     - If the value is fixed, then the calculated
                        #      value is equal to the fixed value.
                        #     - If the value is a percent, then the
                        #     calculated
                        #      value is percent/100 * targetSize. For example,
                        #      the calculated value of a 80% of a managed instance group
                        #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                        #      is a remainder, the number is rounded.
                    "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
                    "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                        # example, specify 80 for 80%.
                  },
                  "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
                      # include directives regarding slower scale in, as described above.
                },
                "scalingSchedules": { # Scaling schedules defined for an autoscaler. Multiple schedules
                    # can be set on an autoscaler, and they can overlap. During overlapping
                    # periods the greatest min_required_replicas of all scaling schedules is
                    # applied. Up to 128 scaling schedules are allowed.
                  "a_key": { # Scaling based on user-defined schedule. The message describes a single
                      # scaling schedule. A scaling schedule changes the minimum number of VM
                      # instances an autoscaler can recommend, which can trigger scaling out.
                    "description": "A String", # A description of a scaling schedule.
                    "disabled": True or False, # A boolean value that specifies whether a scaling schedule can influence
                        # autoscaler recommendations. If set to true, then a scaling schedule has
                        # no effect. This field is optional, and its value is false by default.
                    "durationSec": 42, # The duration of time intervals, in seconds, for which this
                        # scaling schedule is to run. The minimum allowed value is 300.
                        # This field is required.
                    "minRequiredReplicas": 42, # The minimum number of VM instances that the autoscaler will
                        # recommend in time intervals starting according to schedule. This field is
                        # required.
                    "schedule": "A String", # The start timestamps of time intervals when this scaling
                        # schedule is to provide a scaling signal. This field uses the extended
                        # cron format (with an optional year field). The expression can describe a
                        # single timestamp if the optional year is set, in which case the scaling
                        # schedule runs once. The schedule is interpreted with respect to
                        # time_zone. This field is required. Note: These timestamps only describe
                        # when autoscaler starts providing the scaling signal. The VMs
                        # need additional time to become serving.
                    "timeZone": "A String", # The time zone to use when interpreting the schedule.
                        # The value of this field must be a time zone name from the tz database:
                        # https://en.wikipedia.org/wiki/Tz_database. This field is assigned a
                        # default value of "UTC" if left empty.
                  },
                },
              },
              "creationTimestamp": "A String", # [Output Only] Creation timestamp inRFC3339
                  # text format.
              "description": "A String", # An optional description of this resource. Provide this property when you
                  # create the resource.
              "id": "A String", # [Output Only] The unique identifier for the resource. This identifier is
                  # defined by the server.
              "kind": "compute#autoscaler", # [Output Only] Type of the resource. Always compute#autoscaler
                  # for autoscalers.
              "name": "A String", # Name of the resource. Provided by the client when the resource is created.
                  # The name must be 1-63 characters long, and comply withRFC1035.
                  # Specifically, the name must be 1-63 characters long and match the regular
                  # expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first
                  # character must be a lowercase letter, and all following characters must
                  # be a dash, lowercase letter, or digit, except the last character, which
                  # cannot be a dash.
              "recommendedSize": 42, # [Output Only] Target recommended MIG size (number of instances) computed by
                  # autoscaler. Autoscaler calculates the recommended MIG size even when the
                  # autoscaling policy mode is different from ON. This field is empty when
                  # autoscaler is not connected to an existing managed instance group or
                  # autoscaler did not generate its prediction.
              "region": "A String", # [Output Only] URL of theregion
                  # where the instance group resides (for autoscalers living in regional
                  # scope).
              "scalingScheduleStatus": { # [Output Only] Status information of existing scaling schedules.
                "a_key": {
                  "lastStartTime": "A String", # [Output Only] The last time the scaling schedule became active.
                      # Note: this is a timestamp when a schedule actually became active, not when
                      # it was planned to do so.
                      # The timestamp is in RFC3339
                      # text format.
                  "nextStartTime": "A String", # [Output Only] The next time the scaling schedule is to become active.
                      # Note: this is a timestamp when a schedule is planned to run, but the actual
                      # time might be slightly different.
                      # The timestamp is in RFC3339
                      # text format.
                  "state": "A String", # [Output Only] The current state of a scaling schedule.
                },
              },
              "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
              "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
              "status": "A String", # [Output Only] The status of the autoscaler configuration. Current set of
                  # possible values:
                  #
                  #    - PENDING:
                  #      Autoscaler backend hasn't read new/updated configuration.
                  #    - DELETING:
                  #      Configuration is being deleted.
                  #    - ACTIVE:
                  #      Configuration is acknowledged to be effective. Some warnings might
                  #      be present in the statusDetails field.
                  #    - ERROR:
                  #      Configuration has errors. Actionable for users. Details are present in
                  #      the statusDetails field.
                  #
                  #
                  # New values might be added in the future.
              "statusDetails": [ # [Output Only] Human-readable details about the current state of the
                  # autoscaler. Read the documentation forCommonly
                  # returned status messages for examples of status messages you might
                  # encounter.
                {
                  "message": "A String", # The status message.
                  "type": "A String", # The type of error, warning, or notice returned. Current set of possible
                      # values:
                      #
                      #    - ALL_INSTANCES_UNHEALTHY (WARNING):
                      #      All instances in the instance group are unhealthy (not in RUNNING
                      #      state).
                      #    - BACKEND_SERVICE_DOES_NOT_EXIST (ERROR):
                      #      There is no backend service attached to the instance group.
                      #    - CAPPED_AT_MAX_NUM_REPLICAS (WARNING):
                      #      Autoscaler recommends a size greater than maxNumReplicas.
                      #    - CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE (WARNING):
                      #      The custom metric samples are not exported often enough to be
                      #      a credible base for autoscaling.
                      #    - CUSTOM_METRIC_INVALID (ERROR):
                      #      The custom metric that was specified does not exist or does not have
                      #      the necessary labels.
                      #    - MIN_EQUALS_MAX (WARNING):
                      #      The minNumReplicas is equal to maxNumReplicas. This means the
                      #      autoscaler cannot add or remove instances from the instance group.
                      #    - MISSING_CUSTOM_METRIC_DATA_POINTS (WARNING):
                      #      The autoscaler did not receive any data from the custom metric
                      #      configured for autoscaling.
                      #    - MISSING_LOAD_BALANCING_DATA_POINTS (WARNING):
                      #      The autoscaler is configured to scale based on a load balancing signal
                      #      but the instance group has not received any requests from the load
                      #      balancer.
                      #    - MODE_OFF (WARNING):
                      #      Autoscaling is turned off. The number of instances in the group won't
                      #      change automatically. The autoscaling configuration is preserved.
                      #    - MODE_ONLY_UP (WARNING):
                      #      Autoscaling is in the "Autoscale only out" mode. The autoscaler can add
                      #      instances but not remove any.
                      #    - MORE_THAN_ONE_BACKEND_SERVICE (ERROR):
                      #      The instance group cannot be autoscaled because it has more than one
                      #      backend service attached to it.
                      #    - NOT_ENOUGH_QUOTA_AVAILABLE (ERROR):
                      #      There is insufficient quota for the necessary resources, such as CPU or
                      #      number of instances.
                      #    - REGION_RESOURCE_STOCKOUT (ERROR):
                      #      Shown only for regional autoscalers: there is a resource stockout in
                      #      the chosen region.
                      #    - SCALING_TARGET_DOES_NOT_EXIST (ERROR):
                      #      The target to be scaled does not exist.
                      #    - UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION
                      #      (ERROR): Autoscaling does not work with an HTTP/S load balancer that
                      #      has been configured for maxRate.
                      #    - ZONE_RESOURCE_STOCKOUT (ERROR):
                      #      For zonal autoscalers: there is a resource stockout in the chosen zone.
                      #      For regional autoscalers: in at least one of the zones you're using
                      #      there is a resource stockout.
                      #
                      #
                      # New values might be added in the future. Some of the values might not be
                      # available in all API versions.
                },
              ],
              "target": "A String", # URL of the managed instance group that this autoscaler will scale. This
                  # field is required when creating an autoscaler.
              "zone": "A String", # [Output Only] URL of thezone
                  # where the instance group resides (for autoscalers living in zonal scope).
            },
          ],
          "warning": { # [Output Only] Informational warning which replaces the list of autoscalers
              # when the list is empty.
            "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
                # Engine returns NO_RESULTS_ON_PAGE if there
                # are no results in the response.
            "data": [ # [Output Only] Metadata about this warning in key:
                # value format. For example:
                #
                # "data": [
                #   {
                #    "key": "scope",
                #    "value": "zones/us-east1-d"
                #   }
              {
                "key": "A String", # [Output Only] A key that provides more detail on the warning being
                    # returned. For example, for warnings where there are no results in a list
                    # request for a particular zone, this key might be scope and
                    # the key value might be the zone name. Other examples might be a key
                    # indicating a deprecated resource and a suggested replacement, or a
                    # warning about invalid network settings (for example, if an instance
                    # attempts to perform IP forwarding but is not enabled for IP forwarding).
                "value": "A String", # [Output Only] A warning data value corresponding to the key.
              },
            ],
            "message": "A String", # [Output Only] A human-readable description of the warning code.
          },
        },
      },
      "kind": "compute#autoscalerAggregatedList", # [Output Only] Type of resource. Alwayscompute#autoscalerAggregatedList for aggregated lists of
          # autoscalers.
      "nextPageToken": "A String", # [Output Only] This token allows you to get the next page of results for
          # list requests. If the number of results is larger thanmaxResults, use the nextPageToken as a value for
          # the query parameter pageToken in the next list request.
          # Subsequent list requests will have their own nextPageToken to
          # continue paging through the results.
      "selfLink": "A String", # [Output Only] Server-defined URL for this resource.
      "unreachables": [ # [Output Only] Unreachable resources.
          # end_interface: MixerListResponseWithEtagBuilder
        "A String",
      ],
      "warning": { # [Output Only] Informational warning message.
        "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
            # Engine returns NO_RESULTS_ON_PAGE if there
            # are no results in the response.
        "data": [ # [Output Only] Metadata about this warning in key:
            # value format. For example:
            #
            # "data": [
            #   {
            #    "key": "scope",
            #    "value": "zones/us-east1-d"
            #   }
          {
            "key": "A String", # [Output Only] A key that provides more detail on the warning being
                # returned. For example, for warnings where there are no results in a list
                # request for a particular zone, this key might be scope and
                # the key value might be the zone name. Other examples might be a key
                # indicating a deprecated resource and a suggested replacement, or a
                # warning about invalid network settings (for example, if an instance
                # attempts to perform IP forwarding but is not enabled for IP forwarding).
            "value": "A String", # [Output Only] A warning data value corresponding to the key.
          },
        ],
        "message": "A String", # [Output Only] A human-readable description of the warning code.
      },
    }

`aggregatedList_next()`

    Retrieves the next page of results.

            Args:
              previous_request: The request for the previous page. (required)
              previous_response: The response from the request for the previous page. (required)

            Returns:
              A request object that you can call 'execute()' on to request the next
              page. Returns None if there are no more items in the collection.

`close()`

    Close httplib2 connections.

`delete(project, zone, autoscaler, requestId=None, x__xgafv=None)`

    Deletes the specified autoscaler.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, Name of the zone for this request. (required)
      autoscaler: string, Name of the autoscaler to delete. (required)
      requestId: string, An optional request ID to identify requests. Specify a unique request ID so
    that if you must retry your request, the server will know to ignore the
    request if it has already been completed.

    For example, consider a situation where you make an initial request and
    the request times out. If you make the request again with the same
    request ID, the server can check if original operation with the same
    request ID was received, and if so, will ignore the second request. This
    prevents clients from accidentally creating duplicate commitments.

    The request ID must be
    a valid UUID with the exception that zero UUID is not supported
    (00000000-0000-0000-0000-000000000000).
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Represents an Operation resource.
        #
        # Google Compute Engine has three Operation resources:
        #
        # * [Global](/compute/docs/reference/rest/alpha/globalOperations)
        # * [Regional](/compute/docs/reference/rest/alpha/regionOperations)
        # * [Zonal](/compute/docs/reference/rest/alpha/zoneOperations)
        #
        # You can use an operation resource to manage asynchronous API requests.
        # For more information, readHandling
        # API responses.
        #
        # Operations can be global, regional or zonal.
        #
        #    - For global operations, use the `globalOperations`
        #    resource.
        #    - For regional operations, use the
        #    `regionOperations` resource.
        #    - For zonal operations, use
        #    the `zoneOperations` resource.
        #
        #
        #
        # For more information, read
        # Global, Regional, and Zonal Resources.
        #
        # Note that completed Operation resources have a limited
        # retention period.
      "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
          # Not present otherwise.
      "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
      "description": "A String", # [Output Only] A textual description of the operation, which is
          # set when the operation is created.
      "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
          # text format.
      "error": { # [Output Only] If errors are generated during processing of the operation,
          # this field will be populated.
        "errors": [ # [Output Only] The array of errors encountered while processing this
            # operation.
          {
            "code": "A String", # [Output Only] The error type identifier for this error.
            "errorDetails": [ # [Output Only] An optional list of messages that contain the error
                # details. There is a set of defined message types to use for providing
                # details.The syntax depends on the error code. For example,
                # QuotaExceededInfo will have details when the error code is
                # QUOTA_EXCEEDED.
              {
                "errorInfo": { # Describes the cause of the error with structured details.
                    #
                    # Example of an error when contacting the "pubsub.googleapis.com" API when it
                    # is not enabled:
                    #
                    #     { "reason": "API_DISABLED"
                    #       "domain": "googleapis.com"
                    #       "metadata": {
                    #         "resource": "projects/123",
                    #         "service": "pubsub.googleapis.com"
                    #       }
                    #     }
                    #
                    # This response indicates that the pubsub.googleapis.com API is not enabled.
                    #
                    # Example of an error that is returned when attempting to create a Spanner
                    # instance in a region that is out of stock:
                    #
                    #     { "reason": "STOCKOUT"
                    #       "domain": "spanner.googleapis.com",
                    #       "metadata": {
                    #         "availableRegions": "us-central1,us-east2"
                    #       }
                    #     }
                  "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
                      # is typically the registered service name of the tool or product that
                      # generates the error. Example: "pubsub.googleapis.com". If the error is
                      # generated by some common infrastructure, the error domain must be a
                      # globally unique value that identifies the infrastructure. For Google API
                      # infrastructure, the error domain is "googleapis.com".
                  "metadatas": { # Additional structured details about this error.
                      #
                      # Keys must match a regular expression of `a-z+` but should
                      # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
                      # length. When identifying the current value of an exceeded limit, the units
                      # should be contained in the key, not the value.  For example, rather than
                      # `{"instanceLimit": "100/request"}`, should be returned as,
                      # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
                      # instances that can be created in a single (batch) request.
                    "a_key": "A String",
                  },
                  "reason": "A String", # The reason of the error. This is a constant value that identifies the
                      # proximate cause of the error. Error reasons are unique within a particular
                      # domain of errors. This should be at most 63 characters and match a
                      # regular expression of `A-Z+[A-Z0-9]`, which represents
                      # UPPER_SNAKE_CASE.
                },
                "help": { # Provides links to documentation or for performing an out of band action.
                    #
                    # For example, if a quota check failed with an error indicating the calling
                    # project hasn't enabled the accessed service, this can contain a URL pointing
                    # directly to the right place in the developer console to flip the bit.
                  "links": [ # URL(s) pointing to additional information on handling the current error.
                    { # Describes a URL link.
                      "description": "A String", # Describes what the link offers.
                      "url": "A String", # The URL of the link.
                    },
                  ],
                },
                "localizedMessage": { # Provides a localized error message that is safe to return to the user
                    # which can be attached to an RPC error.
                  "locale": "A String", # The locale used following the specification defined at
                      # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
                      # Examples are: "en-US", "fr-CH", "es-MX"
                  "message": "A String", # The localized error message in the above locale.
                },
                "quotaInfo": { # Additional details for quota exceeded error for resource quota.
                  "dimensions": { # The map holding related quota dimensions.
                    "a_key": "A String",
                  },
                  "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
                      #  type or metric.
                  "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
                      # or metric.
                  "limitName": "A String", # The name of the quota limit.
                  "metricName": "A String", # The Compute Engine quota metric name.
                  "rolloutStatus": "A String", # Rollout status of the future quota limit.
                },
              },
            ],
            "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
                # This property is optional.
            "message": "A String", # [Output Only] An optional, human-readable error message.
          },
        ],
      },
      "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
          # message that was returned, such as `NOT FOUND`.
      "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
          # status code that was returned. For example, a `404` means the
          # resource was not found.
      "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
          # defined by the server.
      "insertTime": "A String", # [Output Only] The time that this operation was requested.
          # This value is inRFC3339
          # text format.
      "instancesBulkInsertOperationMetadata": {
        "perLocationStatus": { # Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
            "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
            "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
                # error.
            "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
                # if the flow is rolling forward or rolling back.
            "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
          },
        },
      },
      "kind": "compute#operation", # [Output Only] Type of the resource. Always `compute#operation` for
          # Operation resources.
      "name": "A String", # [Output Only] Name of the operation.
      "operationGroupId": "A String", # [Output Only] An ID that represents a group of operations, such as when a
          # group of operations results from a `bulkInsert` API request.
      "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
          # `update`, or `delete`, and so on.
      "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
          # There is no requirement that this be linear or support any granularity of
          # operations. This should not be used to guess when the operation will be
          # complete. This number should monotonically increase as the operation
          # progresses.
      "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
          # applicable when performing regional operations.
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "setCommonInstanceMetadataOperationMetadata": { # [Output Only] If the operation is for projects.setCommonInstanceMetadata,
          # this field will contain information on all underlying zonal actions and
          # their state.
        "clientOperationId": "A String", # [Output Only] The client operation id.
        "perLocationOperations": { # [Output Only] Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
                # populated.
                # different programming environments, including REST APIs and RPC APIs. It is
                # used by [gRPC](https://github.com/grpc). Each `Status` message contains
                # three pieces of data: error code, error message, and error details.
                #
                # You can find out more about this error model and how to work with it in the
                # [API Design Guide](https://cloud.google.com/apis/design/errors).
              "code": 42, # The status code, which should be an enum value of google.rpc.Code.
              "details": [ # A list of messages that carry the error details.  There is a common set of
                  # message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
              "message": "A String", # A developer-facing error message, which should be in English. Any
                  # user-facing error message should be localized and sent in the
                  # google.rpc.Status.details field, or localized by the client.
            },
            "state": "A String", # [Output Only] Status of the action, which can be one of the following:
                # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
          },
        },
      },
      "startTime": "A String", # [Output Only] The time that this operation was started by the server.
          # This value is inRFC3339
          # text format.
      "status": "A String", # [Output Only] The status of the operation, which can be one of the
          # following:
          # `PENDING`, `RUNNING`, or `DONE`.
      "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
          # operation.
      "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
          # of the target resource.
      "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
          # operations related to creating a snapshot, this points to the disk
          # that the snapshot was created from.
      "user": "A String", # [Output Only] User who requested the operation, for example:
          # `user@example.com` or
          # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
      "warnings": [ # [Output Only] If warning messages are generated during processing of the
          # operation, this field will be populated.
        {
          "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
              # Engine returns NO_RESULTS_ON_PAGE if there
              # are no results in the response.
          "data": [ # [Output Only] Metadata about this warning in key:
              # value format. For example:
              #
              # "data": [
              #   {
              #    "key": "scope",
              #    "value": "zones/us-east1-d"
              #   }
            {
              "key": "A String", # [Output Only] A key that provides more detail on the warning being
                  # returned. For example, for warnings where there are no results in a list
                  # request for a particular zone, this key might be scope and
                  # the key value might be the zone name. Other examples might be a key
                  # indicating a deprecated resource and a suggested replacement, or a
                  # warning about invalid network settings (for example, if an instance
                  # attempts to perform IP forwarding but is not enabled for IP forwarding).
              "value": "A String", # [Output Only] A warning data value corresponding to the key.
            },
          ],
          "message": "A String", # [Output Only] A human-readable description of the warning code.
        },
      ],
      "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
          # applicable when performing per-zone operations.
    }

`get(project, zone, autoscaler, x__xgafv=None)`

    Returns the specified autoscaler resource.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, Name of the zone for this request. (required)
      autoscaler: string, Name of the autoscaler to return. (required)
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Represents an Autoscaler resource.
        #
        # Google Compute Engine has two Autoscaler resources:
        #
        # * [Zonal](/compute/docs/reference/rest/alpha/autoscalers)
        # * [Regional](/compute/docs/reference/rest/alpha/regionAutoscalers)
        #
        # Use autoscalers to automatically add or delete instances from a
        # managed instance group according to your defined autoscaling policy.
        # For more information, read Autoscaling Groups of Instances.
        #
        # For zonal managed instance groups resource, use the autoscaler
        # resource.
        #
        # For regional managed instance groups, use theregionAutoscalers resource.
      "autoscalingPolicy": { # Cloud Autoscaler policy. # The configuration parameters for the autoscaling algorithm. You can define
          # one or more signals for an autoscaler: cpuUtilization,customMetricUtilizations, andloadBalancingUtilization.
          #
          # If none of these are specified, the default will be to autoscale based oncpuUtilization to 0.6 or 60%.
        "coolDownPeriodSec": 42, # The number of seconds that your application takes to initialize on a VM
            # instance. This is referred to as the
            # [initialization period](/compute/docs/autoscaler#cool_down_period).
            # Specifying an accurate initialization period improves
            # autoscaler decisions. For example, when scaling out, the autoscaler ignores
            # data from VMs that are still initializing because those VMs might not yet
            # represent normal usage of your application. The default initialization
            # period is 60 seconds.
            #
            # Initialization periods might vary because of numerous
            # factors. We recommend that you test how long your application takes to
            # initialize. To do this, create a VM and time your application's startup
            # process.
        "cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale
            # based on the average CPU utilization of a managed instance group.
          "predictiveMethod": "A String", # Indicates whether predictive autoscaling based on CPU metric is enabled.
              # Valid values are:
              #
              # * NONE (default). No predictive method is used. The autoscaler scales the
              # group to meet current demand based on real-time metrics.
              # * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by
              # monitoring daily and weekly load patterns and scaling out ahead of
              # anticipated demand.
          "utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be
              # a float value in the range (0, 1]. If not specified, the default is0.6.
              #
              # If the CPU level is below the target utilization, the autoscaler scales
              # in the number of instances until it reaches the minimum number of
              # instances you specified or until the average CPU of your instances
              # reaches the target utilization.
              #
              # If the average CPU is above the target utilization, the autoscaler
              # scales out until it reaches the maximum number of instances you
              # specified or until the average utilization reaches the target
              # utilization.
        },
        "customMetricUtilizations": [ # Configuration parameters of autoscaling based on a custom metric.
          { # Custom utilization metric policy.
            "filter": "A String", # A filter string, compatible with a Stackdriver Monitoringfilter string forTimeSeries.list API call. This filter is
                # used to select a specific TimeSeries for the purpose of autoscaling and
                # to determine whether the metric is exporting per-instance or
                # per-group data.
                #
                # For the filter to be valid for autoscaling purposes, the following rules
                # apply:
                #
                #
                #     - You can only use the AND operator for joining
                #        selectors.
                #     - You can only use direct equality comparison operator
                #        (=) without any functions for each selector.
                #     - You can specify the metric in both the filter string and in the
                #        metric field. However, if specified in both places, the metric must
                #        be identical.
                #     - The monitored resource type
                #        determines what kind of values are expected for the metric. If it is
                #        a gce_instance, the autoscaler expects the metric to
                #        include a separate TimeSeries for each instance in a group. In such a
                #        case, you cannot filter on resource labels.
                #
                #
                #    If the resource type is any other value, the autoscaler expects
                #        this metric to contain values that apply to the entire autoscaled
                #        instance group and resource label filtering can be performed to
                #        point autoscaler at the correct TimeSeries to scale upon. This is
                #        called a *per-group metric* for the purpose of autoscaling.
                #
                #        If not specified, the type defaults to
                #        gce_instance.
                #
                #
                #
                # Try to provide a filter that is selective enough to pick just one
                # TimeSeries for the autoscaled group or for each of the instances (if you
                # are using gce_instance resource type). If multiple
                # TimeSeries are returned upon the query execution, the autoscaler will sum
                # their respective values to obtain its scaling value.
            "metric": "A String", # The identifier (type) of the Stackdriver Monitoring metric. The metric
                # cannot have negative values.
                #
                # The metric must have a value type of INT64 orDOUBLE.
            "singleInstanceAssignment": 3.14, # If scaling is based on a per-group metric value that represents the
                # total amount of work to be done or resource usage, set this value to an
                # amount assigned for a single instance of the scaled group. Autoscaler
                # keeps the number of instances proportional to the value of this
                # metric. The metric itself does not change value due to group
                # resizing.
                #
                # A good metric to use with the target is for examplepubsub.googleapis.com/subscription/num_undelivered_messages
                # or a custom metric exporting the total number of requests coming to
                # your instances.
                #
                # A bad example would be a metric exporting an average or median latency,
                # since this value can't include a chunk assignable to a single instance,
                # it could be better used with utilization_target instead.
            "utilizationTarget": 3.14, # The target value of the metric that autoscaler maintains. This
                # must be a positive value. A utilization metric scales number of
                # virtual machines handling requests to increase or decrease
                # proportionally to the metric.
                #
                # For example, a good metric to use as a utilization_target ishttps://www.googleapis.com/compute/v1/instance/network/received_bytes_count.
                # The autoscaler works to keep this value constant for each of the
                # instances.
            "utilizationTargetType": "A String", # Defines how target utilization value is expressed for a Stackdriver
                # Monitoring metric. Either GAUGE,DELTA_PER_SECOND, or DELTA_PER_MINUTE.
          },
        ],
        "loadBalancingUtilization": { # Configuration parameters of autoscaling based on load balancing. # Configuration parameters of autoscaling based on load balancer.
          "utilizationTarget": 3.14, # Fraction of backend capacity utilization (set in HTTP(S) load balancing
              # configuration) that the autoscaler maintains. Must be a positive float
              # value. If not defined, the default is 0.8.
        },
        "maxNumReplicas": 42, # The maximum number of instances that the autoscaler can scale out to. This
            # is required when creating or updating an autoscaler. The maximum number
            # of replicas must not be lower than minimal number of replicas.
        "minNumReplicas": 42, # The minimum number of replicas that the autoscaler can scale in to.
            # This cannot be less than 0. If not provided, autoscaler chooses a
            # default value depending on maximum number of instances allowed.
        "mode": "A String", # Defines the operating mode for this policy.
            # The following modes are available:
            #
            #    - OFF: Disables the autoscaler but maintains its
            #    configuration.
            #    - ONLY_SCALE_OUT: Restricts the autoscaler to add
            #    VM instances only.
            #    - ON: Enables all autoscaler activities according to its
            #    policy.
            #
            #
            # For more information, see
            # "Turning off or restricting an autoscaler"
        "scaleDownControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledDownReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scaleInControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledInReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scalingSchedules": { # Scaling schedules defined for an autoscaler. Multiple schedules
            # can be set on an autoscaler, and they can overlap. During overlapping
            # periods the greatest min_required_replicas of all scaling schedules is
            # applied. Up to 128 scaling schedules are allowed.
          "a_key": { # Scaling based on user-defined schedule. The message describes a single
              # scaling schedule. A scaling schedule changes the minimum number of VM
              # instances an autoscaler can recommend, which can trigger scaling out.
            "description": "A String", # A description of a scaling schedule.
            "disabled": True or False, # A boolean value that specifies whether a scaling schedule can influence
                # autoscaler recommendations. If set to true, then a scaling schedule has
                # no effect. This field is optional, and its value is false by default.
            "durationSec": 42, # The duration of time intervals, in seconds, for which this
                # scaling schedule is to run. The minimum allowed value is 300.
                # This field is required.
            "minRequiredReplicas": 42, # The minimum number of VM instances that the autoscaler will
                # recommend in time intervals starting according to schedule. This field is
                # required.
            "schedule": "A String", # The start timestamps of time intervals when this scaling
                # schedule is to provide a scaling signal. This field uses the extended
                # cron format (with an optional year field). The expression can describe a
                # single timestamp if the optional year is set, in which case the scaling
                # schedule runs once. The schedule is interpreted with respect to
                # time_zone. This field is required. Note: These timestamps only describe
                # when autoscaler starts providing the scaling signal. The VMs
                # need additional time to become serving.
            "timeZone": "A String", # The time zone to use when interpreting the schedule.
                # The value of this field must be a time zone name from the tz database:
                # https://en.wikipedia.org/wiki/Tz_database. This field is assigned a
                # default value of "UTC" if left empty.
          },
        },
      },
      "creationTimestamp": "A String", # [Output Only] Creation timestamp inRFC3339
          # text format.
      "description": "A String", # An optional description of this resource. Provide this property when you
          # create the resource.
      "id": "A String", # [Output Only] The unique identifier for the resource. This identifier is
          # defined by the server.
      "kind": "compute#autoscaler", # [Output Only] Type of the resource. Always compute#autoscaler
          # for autoscalers.
      "name": "A String", # Name of the resource. Provided by the client when the resource is created.
          # The name must be 1-63 characters long, and comply withRFC1035.
          # Specifically, the name must be 1-63 characters long and match the regular
          # expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first
          # character must be a lowercase letter, and all following characters must
          # be a dash, lowercase letter, or digit, except the last character, which
          # cannot be a dash.
      "recommendedSize": 42, # [Output Only] Target recommended MIG size (number of instances) computed by
          # autoscaler. Autoscaler calculates the recommended MIG size even when the
          # autoscaling policy mode is different from ON. This field is empty when
          # autoscaler is not connected to an existing managed instance group or
          # autoscaler did not generate its prediction.
      "region": "A String", # [Output Only] URL of theregion
          # where the instance group resides (for autoscalers living in regional
          # scope).
      "scalingScheduleStatus": { # [Output Only] Status information of existing scaling schedules.
        "a_key": {
          "lastStartTime": "A String", # [Output Only] The last time the scaling schedule became active.
              # Note: this is a timestamp when a schedule actually became active, not when
              # it was planned to do so.
              # The timestamp is in RFC3339
              # text format.
          "nextStartTime": "A String", # [Output Only] The next time the scaling schedule is to become active.
              # Note: this is a timestamp when a schedule is planned to run, but the actual
              # time might be slightly different.
              # The timestamp is in RFC3339
              # text format.
          "state": "A String", # [Output Only] The current state of a scaling schedule.
        },
      },
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "status": "A String", # [Output Only] The status of the autoscaler configuration. Current set of
          # possible values:
          #
          #    - PENDING:
          #      Autoscaler backend hasn't read new/updated configuration.
          #    - DELETING:
          #      Configuration is being deleted.
          #    - ACTIVE:
          #      Configuration is acknowledged to be effective. Some warnings might
          #      be present in the statusDetails field.
          #    - ERROR:
          #      Configuration has errors. Actionable for users. Details are present in
          #      the statusDetails field.
          #
          #
          # New values might be added in the future.
      "statusDetails": [ # [Output Only] Human-readable details about the current state of the
          # autoscaler. Read the documentation forCommonly
          # returned status messages for examples of status messages you might
          # encounter.
        {
          "message": "A String", # The status message.
          "type": "A String", # The type of error, warning, or notice returned. Current set of possible
              # values:
              #
              #    - ALL_INSTANCES_UNHEALTHY (WARNING):
              #      All instances in the instance group are unhealthy (not in RUNNING
              #      state).
              #    - BACKEND_SERVICE_DOES_NOT_EXIST (ERROR):
              #      There is no backend service attached to the instance group.
              #    - CAPPED_AT_MAX_NUM_REPLICAS (WARNING):
              #      Autoscaler recommends a size greater than maxNumReplicas.
              #    - CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE (WARNING):
              #      The custom metric samples are not exported often enough to be
              #      a credible base for autoscaling.
              #    - CUSTOM_METRIC_INVALID (ERROR):
              #      The custom metric that was specified does not exist or does not have
              #      the necessary labels.
              #    - MIN_EQUALS_MAX (WARNING):
              #      The minNumReplicas is equal to maxNumReplicas. This means the
              #      autoscaler cannot add or remove instances from the instance group.
              #    - MISSING_CUSTOM_METRIC_DATA_POINTS (WARNING):
              #      The autoscaler did not receive any data from the custom metric
              #      configured for autoscaling.
              #    - MISSING_LOAD_BALANCING_DATA_POINTS (WARNING):
              #      The autoscaler is configured to scale based on a load balancing signal
              #      but the instance group has not received any requests from the load
              #      balancer.
              #    - MODE_OFF (WARNING):
              #      Autoscaling is turned off. The number of instances in the group won't
              #      change automatically. The autoscaling configuration is preserved.
              #    - MODE_ONLY_UP (WARNING):
              #      Autoscaling is in the "Autoscale only out" mode. The autoscaler can add
              #      instances but not remove any.
              #    - MORE_THAN_ONE_BACKEND_SERVICE (ERROR):
              #      The instance group cannot be autoscaled because it has more than one
              #      backend service attached to it.
              #    - NOT_ENOUGH_QUOTA_AVAILABLE (ERROR):
              #      There is insufficient quota for the necessary resources, such as CPU or
              #      number of instances.
              #    - REGION_RESOURCE_STOCKOUT (ERROR):
              #      Shown only for regional autoscalers: there is a resource stockout in
              #      the chosen region.
              #    - SCALING_TARGET_DOES_NOT_EXIST (ERROR):
              #      The target to be scaled does not exist.
              #    - UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION
              #      (ERROR): Autoscaling does not work with an HTTP/S load balancer that
              #      has been configured for maxRate.
              #    - ZONE_RESOURCE_STOCKOUT (ERROR):
              #      For zonal autoscalers: there is a resource stockout in the chosen zone.
              #      For regional autoscalers: in at least one of the zones you're using
              #      there is a resource stockout.
              #
              #
              # New values might be added in the future. Some of the values might not be
              # available in all API versions.
        },
      ],
      "target": "A String", # URL of the managed instance group that this autoscaler will scale. This
          # field is required when creating an autoscaler.
      "zone": "A String", # [Output Only] URL of thezone
          # where the instance group resides (for autoscalers living in zonal scope).
    }

`insert(project, zone, body=None, requestId=None, x__xgafv=None)`

    Creates an autoscaler in the specified project using the data
    included in the request.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, Name of the zone for this request. (required)
      body: object, The request body.
        The object takes the form of:

    { # Represents an Autoscaler resource.
        #
        # Google Compute Engine has two Autoscaler resources:
        #
        # * [Zonal](/compute/docs/reference/rest/alpha/autoscalers)
        # * [Regional](/compute/docs/reference/rest/alpha/regionAutoscalers)
        #
        # Use autoscalers to automatically add or delete instances from a
        # managed instance group according to your defined autoscaling policy.
        # For more information, read Autoscaling Groups of Instances.
        #
        # For zonal managed instance groups resource, use the autoscaler
        # resource.
        #
        # For regional managed instance groups, use theregionAutoscalers resource.
      "autoscalingPolicy": { # Cloud Autoscaler policy. # The configuration parameters for the autoscaling algorithm. You can define
          # one or more signals for an autoscaler: cpuUtilization,customMetricUtilizations, andloadBalancingUtilization.
          #
          # If none of these are specified, the default will be to autoscale based oncpuUtilization to 0.6 or 60%.
        "coolDownPeriodSec": 42, # The number of seconds that your application takes to initialize on a VM
            # instance. This is referred to as the
            # [initialization period](/compute/docs/autoscaler#cool_down_period).
            # Specifying an accurate initialization period improves
            # autoscaler decisions. For example, when scaling out, the autoscaler ignores
            # data from VMs that are still initializing because those VMs might not yet
            # represent normal usage of your application. The default initialization
            # period is 60 seconds.
            #
            # Initialization periods might vary because of numerous
            # factors. We recommend that you test how long your application takes to
            # initialize. To do this, create a VM and time your application's startup
            # process.
        "cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale
            # based on the average CPU utilization of a managed instance group.
          "predictiveMethod": "A String", # Indicates whether predictive autoscaling based on CPU metric is enabled.
              # Valid values are:
              #
              # * NONE (default). No predictive method is used. The autoscaler scales the
              # group to meet current demand based on real-time metrics.
              # * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by
              # monitoring daily and weekly load patterns and scaling out ahead of
              # anticipated demand.
          "utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be
              # a float value in the range (0, 1]. If not specified, the default is0.6.
              #
              # If the CPU level is below the target utilization, the autoscaler scales
              # in the number of instances until it reaches the minimum number of
              # instances you specified or until the average CPU of your instances
              # reaches the target utilization.
              #
              # If the average CPU is above the target utilization, the autoscaler
              # scales out until it reaches the maximum number of instances you
              # specified or until the average utilization reaches the target
              # utilization.
        },
        "customMetricUtilizations": [ # Configuration parameters of autoscaling based on a custom metric.
          { # Custom utilization metric policy.
            "filter": "A String", # A filter string, compatible with a Stackdriver Monitoringfilter string forTimeSeries.list API call. This filter is
                # used to select a specific TimeSeries for the purpose of autoscaling and
                # to determine whether the metric is exporting per-instance or
                # per-group data.
                #
                # For the filter to be valid for autoscaling purposes, the following rules
                # apply:
                #
                #
                #     - You can only use the AND operator for joining
                #        selectors.
                #     - You can only use direct equality comparison operator
                #        (=) without any functions for each selector.
                #     - You can specify the metric in both the filter string and in the
                #        metric field. However, if specified in both places, the metric must
                #        be identical.
                #     - The monitored resource type
                #        determines what kind of values are expected for the metric. If it is
                #        a gce_instance, the autoscaler expects the metric to
                #        include a separate TimeSeries for each instance in a group. In such a
                #        case, you cannot filter on resource labels.
                #
                #
                #    If the resource type is any other value, the autoscaler expects
                #        this metric to contain values that apply to the entire autoscaled
                #        instance group and resource label filtering can be performed to
                #        point autoscaler at the correct TimeSeries to scale upon. This is
                #        called a *per-group metric* for the purpose of autoscaling.
                #
                #        If not specified, the type defaults to
                #        gce_instance.
                #
                #
                #
                # Try to provide a filter that is selective enough to pick just one
                # TimeSeries for the autoscaled group or for each of the instances (if you
                # are using gce_instance resource type). If multiple
                # TimeSeries are returned upon the query execution, the autoscaler will sum
                # their respective values to obtain its scaling value.
            "metric": "A String", # The identifier (type) of the Stackdriver Monitoring metric. The metric
                # cannot have negative values.
                #
                # The metric must have a value type of INT64 orDOUBLE.
            "singleInstanceAssignment": 3.14, # If scaling is based on a per-group metric value that represents the
                # total amount of work to be done or resource usage, set this value to an
                # amount assigned for a single instance of the scaled group. Autoscaler
                # keeps the number of instances proportional to the value of this
                # metric. The metric itself does not change value due to group
                # resizing.
                #
                # A good metric to use with the target is for examplepubsub.googleapis.com/subscription/num_undelivered_messages
                # or a custom metric exporting the total number of requests coming to
                # your instances.
                #
                # A bad example would be a metric exporting an average or median latency,
                # since this value can't include a chunk assignable to a single instance,
                # it could be better used with utilization_target instead.
            "utilizationTarget": 3.14, # The target value of the metric that autoscaler maintains. This
                # must be a positive value. A utilization metric scales number of
                # virtual machines handling requests to increase or decrease
                # proportionally to the metric.
                #
                # For example, a good metric to use as a utilization_target ishttps://www.googleapis.com/compute/v1/instance/network/received_bytes_count.
                # The autoscaler works to keep this value constant for each of the
                # instances.
            "utilizationTargetType": "A String", # Defines how target utilization value is expressed for a Stackdriver
                # Monitoring metric. Either GAUGE,DELTA_PER_SECOND, or DELTA_PER_MINUTE.
          },
        ],
        "loadBalancingUtilization": { # Configuration parameters of autoscaling based on load balancing. # Configuration parameters of autoscaling based on load balancer.
          "utilizationTarget": 3.14, # Fraction of backend capacity utilization (set in HTTP(S) load balancing
              # configuration) that the autoscaler maintains. Must be a positive float
              # value. If not defined, the default is 0.8.
        },
        "maxNumReplicas": 42, # The maximum number of instances that the autoscaler can scale out to. This
            # is required when creating or updating an autoscaler. The maximum number
            # of replicas must not be lower than minimal number of replicas.
        "minNumReplicas": 42, # The minimum number of replicas that the autoscaler can scale in to.
            # This cannot be less than 0. If not provided, autoscaler chooses a
            # default value depending on maximum number of instances allowed.
        "mode": "A String", # Defines the operating mode for this policy.
            # The following modes are available:
            #
            #    - OFF: Disables the autoscaler but maintains its
            #    configuration.
            #    - ONLY_SCALE_OUT: Restricts the autoscaler to add
            #    VM instances only.
            #    - ON: Enables all autoscaler activities according to its
            #    policy.
            #
            #
            # For more information, see
            # "Turning off or restricting an autoscaler"
        "scaleDownControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledDownReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scaleInControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledInReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scalingSchedules": { # Scaling schedules defined for an autoscaler. Multiple schedules
            # can be set on an autoscaler, and they can overlap. During overlapping
            # periods the greatest min_required_replicas of all scaling schedules is
            # applied. Up to 128 scaling schedules are allowed.
          "a_key": { # Scaling based on user-defined schedule. The message describes a single
              # scaling schedule. A scaling schedule changes the minimum number of VM
              # instances an autoscaler can recommend, which can trigger scaling out.
            "description": "A String", # A description of a scaling schedule.
            "disabled": True or False, # A boolean value that specifies whether a scaling schedule can influence
                # autoscaler recommendations. If set to true, then a scaling schedule has
                # no effect. This field is optional, and its value is false by default.
            "durationSec": 42, # The duration of time intervals, in seconds, for which this
                # scaling schedule is to run. The minimum allowed value is 300.
                # This field is required.
            "minRequiredReplicas": 42, # The minimum number of VM instances that the autoscaler will
                # recommend in time intervals starting according to schedule. This field is
                # required.
            "schedule": "A String", # The start timestamps of time intervals when this scaling
                # schedule is to provide a scaling signal. This field uses the extended
                # cron format (with an optional year field). The expression can describe a
                # single timestamp if the optional year is set, in which case the scaling
                # schedule runs once. The schedule is interpreted with respect to
                # time_zone. This field is required. Note: These timestamps only describe
                # when autoscaler starts providing the scaling signal. The VMs
                # need additional time to become serving.
            "timeZone": "A String", # The time zone to use when interpreting the schedule.
                # The value of this field must be a time zone name from the tz database:
                # https://en.wikipedia.org/wiki/Tz_database. This field is assigned a
                # default value of "UTC" if left empty.
          },
        },
      },
      "creationTimestamp": "A String", # [Output Only] Creation timestamp inRFC3339
          # text format.
      "description": "A String", # An optional description of this resource. Provide this property when you
          # create the resource.
      "id": "A String", # [Output Only] The unique identifier for the resource. This identifier is
          # defined by the server.
      "kind": "compute#autoscaler", # [Output Only] Type of the resource. Always compute#autoscaler
          # for autoscalers.
      "name": "A String", # Name of the resource. Provided by the client when the resource is created.
          # The name must be 1-63 characters long, and comply withRFC1035.
          # Specifically, the name must be 1-63 characters long and match the regular
          # expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first
          # character must be a lowercase letter, and all following characters must
          # be a dash, lowercase letter, or digit, except the last character, which
          # cannot be a dash.
      "recommendedSize": 42, # [Output Only] Target recommended MIG size (number of instances) computed by
          # autoscaler. Autoscaler calculates the recommended MIG size even when the
          # autoscaling policy mode is different from ON. This field is empty when
          # autoscaler is not connected to an existing managed instance group or
          # autoscaler did not generate its prediction.
      "region": "A String", # [Output Only] URL of theregion
          # where the instance group resides (for autoscalers living in regional
          # scope).
      "scalingScheduleStatus": { # [Output Only] Status information of existing scaling schedules.
        "a_key": {
          "lastStartTime": "A String", # [Output Only] The last time the scaling schedule became active.
              # Note: this is a timestamp when a schedule actually became active, not when
              # it was planned to do so.
              # The timestamp is in RFC3339
              # text format.
          "nextStartTime": "A String", # [Output Only] The next time the scaling schedule is to become active.
              # Note: this is a timestamp when a schedule is planned to run, but the actual
              # time might be slightly different.
              # The timestamp is in RFC3339
              # text format.
          "state": "A String", # [Output Only] The current state of a scaling schedule.
        },
      },
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "status": "A String", # [Output Only] The status of the autoscaler configuration. Current set of
          # possible values:
          #
          #    - PENDING:
          #      Autoscaler backend hasn't read new/updated configuration.
          #    - DELETING:
          #      Configuration is being deleted.
          #    - ACTIVE:
          #      Configuration is acknowledged to be effective. Some warnings might
          #      be present in the statusDetails field.
          #    - ERROR:
          #      Configuration has errors. Actionable for users. Details are present in
          #      the statusDetails field.
          #
          #
          # New values might be added in the future.
      "statusDetails": [ # [Output Only] Human-readable details about the current state of the
          # autoscaler. Read the documentation forCommonly
          # returned status messages for examples of status messages you might
          # encounter.
        {
          "message": "A String", # The status message.
          "type": "A String", # The type of error, warning, or notice returned. Current set of possible
              # values:
              #
              #    - ALL_INSTANCES_UNHEALTHY (WARNING):
              #      All instances in the instance group are unhealthy (not in RUNNING
              #      state).
              #    - BACKEND_SERVICE_DOES_NOT_EXIST (ERROR):
              #      There is no backend service attached to the instance group.
              #    - CAPPED_AT_MAX_NUM_REPLICAS (WARNING):
              #      Autoscaler recommends a size greater than maxNumReplicas.
              #    - CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE (WARNING):
              #      The custom metric samples are not exported often enough to be
              #      a credible base for autoscaling.
              #    - CUSTOM_METRIC_INVALID (ERROR):
              #      The custom metric that was specified does not exist or does not have
              #      the necessary labels.
              #    - MIN_EQUALS_MAX (WARNING):
              #      The minNumReplicas is equal to maxNumReplicas. This means the
              #      autoscaler cannot add or remove instances from the instance group.
              #    - MISSING_CUSTOM_METRIC_DATA_POINTS (WARNING):
              #      The autoscaler did not receive any data from the custom metric
              #      configured for autoscaling.
              #    - MISSING_LOAD_BALANCING_DATA_POINTS (WARNING):
              #      The autoscaler is configured to scale based on a load balancing signal
              #      but the instance group has not received any requests from the load
              #      balancer.
              #    - MODE_OFF (WARNING):
              #      Autoscaling is turned off. The number of instances in the group won't
              #      change automatically. The autoscaling configuration is preserved.
              #    - MODE_ONLY_UP (WARNING):
              #      Autoscaling is in the "Autoscale only out" mode. The autoscaler can add
              #      instances but not remove any.
              #    - MORE_THAN_ONE_BACKEND_SERVICE (ERROR):
              #      The instance group cannot be autoscaled because it has more than one
              #      backend service attached to it.
              #    - NOT_ENOUGH_QUOTA_AVAILABLE (ERROR):
              #      There is insufficient quota for the necessary resources, such as CPU or
              #      number of instances.
              #    - REGION_RESOURCE_STOCKOUT (ERROR):
              #      Shown only for regional autoscalers: there is a resource stockout in
              #      the chosen region.
              #    - SCALING_TARGET_DOES_NOT_EXIST (ERROR):
              #      The target to be scaled does not exist.
              #    - UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION
              #      (ERROR): Autoscaling does not work with an HTTP/S load balancer that
              #      has been configured for maxRate.
              #    - ZONE_RESOURCE_STOCKOUT (ERROR):
              #      For zonal autoscalers: there is a resource stockout in the chosen zone.
              #      For regional autoscalers: in at least one of the zones you're using
              #      there is a resource stockout.
              #
              #
              # New values might be added in the future. Some of the values might not be
              # available in all API versions.
        },
      ],
      "target": "A String", # URL of the managed instance group that this autoscaler will scale. This
          # field is required when creating an autoscaler.
      "zone": "A String", # [Output Only] URL of thezone
          # where the instance group resides (for autoscalers living in zonal scope).
    }

      requestId: string, An optional request ID to identify requests. Specify a unique request ID so
    that if you must retry your request, the server will know to ignore the
    request if it has already been completed.

    For example, consider a situation where you make an initial request and
    the request times out. If you make the request again with the same
    request ID, the server can check if original operation with the same
    request ID was received, and if so, will ignore the second request. This
    prevents clients from accidentally creating duplicate commitments.

    The request ID must be
    a valid UUID with the exception that zero UUID is not supported
    (00000000-0000-0000-0000-000000000000).
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Represents an Operation resource.
        #
        # Google Compute Engine has three Operation resources:
        #
        # * [Global](/compute/docs/reference/rest/alpha/globalOperations)
        # * [Regional](/compute/docs/reference/rest/alpha/regionOperations)
        # * [Zonal](/compute/docs/reference/rest/alpha/zoneOperations)
        #
        # You can use an operation resource to manage asynchronous API requests.
        # For more information, readHandling
        # API responses.
        #
        # Operations can be global, regional or zonal.
        #
        #    - For global operations, use the `globalOperations`
        #    resource.
        #    - For regional operations, use the
        #    `regionOperations` resource.
        #    - For zonal operations, use
        #    the `zoneOperations` resource.
        #
        #
        #
        # For more information, read
        # Global, Regional, and Zonal Resources.
        #
        # Note that completed Operation resources have a limited
        # retention period.
      "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
          # Not present otherwise.
      "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
      "description": "A String", # [Output Only] A textual description of the operation, which is
          # set when the operation is created.
      "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
          # text format.
      "error": { # [Output Only] If errors are generated during processing of the operation,
          # this field will be populated.
        "errors": [ # [Output Only] The array of errors encountered while processing this
            # operation.
          {
            "code": "A String", # [Output Only] The error type identifier for this error.
            "errorDetails": [ # [Output Only] An optional list of messages that contain the error
                # details. There is a set of defined message types to use for providing
                # details.The syntax depends on the error code. For example,
                # QuotaExceededInfo will have details when the error code is
                # QUOTA_EXCEEDED.
              {
                "errorInfo": { # Describes the cause of the error with structured details.
                    #
                    # Example of an error when contacting the "pubsub.googleapis.com" API when it
                    # is not enabled:
                    #
                    #     { "reason": "API_DISABLED"
                    #       "domain": "googleapis.com"
                    #       "metadata": {
                    #         "resource": "projects/123",
                    #         "service": "pubsub.googleapis.com"
                    #       }
                    #     }
                    #
                    # This response indicates that the pubsub.googleapis.com API is not enabled.
                    #
                    # Example of an error that is returned when attempting to create a Spanner
                    # instance in a region that is out of stock:
                    #
                    #     { "reason": "STOCKOUT"
                    #       "domain": "spanner.googleapis.com",
                    #       "metadata": {
                    #         "availableRegions": "us-central1,us-east2"
                    #       }
                    #     }
                  "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
                      # is typically the registered service name of the tool or product that
                      # generates the error. Example: "pubsub.googleapis.com". If the error is
                      # generated by some common infrastructure, the error domain must be a
                      # globally unique value that identifies the infrastructure. For Google API
                      # infrastructure, the error domain is "googleapis.com".
                  "metadatas": { # Additional structured details about this error.
                      #
                      # Keys must match a regular expression of `a-z+` but should
                      # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
                      # length. When identifying the current value of an exceeded limit, the units
                      # should be contained in the key, not the value.  For example, rather than
                      # `{"instanceLimit": "100/request"}`, should be returned as,
                      # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
                      # instances that can be created in a single (batch) request.
                    "a_key": "A String",
                  },
                  "reason": "A String", # The reason of the error. This is a constant value that identifies the
                      # proximate cause of the error. Error reasons are unique within a particular
                      # domain of errors. This should be at most 63 characters and match a
                      # regular expression of `A-Z+[A-Z0-9]`, which represents
                      # UPPER_SNAKE_CASE.
                },
                "help": { # Provides links to documentation or for performing an out of band action.
                    #
                    # For example, if a quota check failed with an error indicating the calling
                    # project hasn't enabled the accessed service, this can contain a URL pointing
                    # directly to the right place in the developer console to flip the bit.
                  "links": [ # URL(s) pointing to additional information on handling the current error.
                    { # Describes a URL link.
                      "description": "A String", # Describes what the link offers.
                      "url": "A String", # The URL of the link.
                    },
                  ],
                },
                "localizedMessage": { # Provides a localized error message that is safe to return to the user
                    # which can be attached to an RPC error.
                  "locale": "A String", # The locale used following the specification defined at
                      # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
                      # Examples are: "en-US", "fr-CH", "es-MX"
                  "message": "A String", # The localized error message in the above locale.
                },
                "quotaInfo": { # Additional details for quota exceeded error for resource quota.
                  "dimensions": { # The map holding related quota dimensions.
                    "a_key": "A String",
                  },
                  "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
                      #  type or metric.
                  "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
                      # or metric.
                  "limitName": "A String", # The name of the quota limit.
                  "metricName": "A String", # The Compute Engine quota metric name.
                  "rolloutStatus": "A String", # Rollout status of the future quota limit.
                },
              },
            ],
            "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
                # This property is optional.
            "message": "A String", # [Output Only] An optional, human-readable error message.
          },
        ],
      },
      "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
          # message that was returned, such as `NOT FOUND`.
      "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
          # status code that was returned. For example, a `404` means the
          # resource was not found.
      "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
          # defined by the server.
      "insertTime": "A String", # [Output Only] The time that this operation was requested.
          # This value is inRFC3339
          # text format.
      "instancesBulkInsertOperationMetadata": {
        "perLocationStatus": { # Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
            "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
            "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
                # error.
            "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
                # if the flow is rolling forward or rolling back.
            "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
          },
        },
      },
      "kind": "compute#operation", # [Output Only] Type of the resource. Always `compute#operation` for
          # Operation resources.
      "name": "A String", # [Output Only] Name of the operation.
      "operationGroupId": "A String", # [Output Only] An ID that represents a group of operations, such as when a
          # group of operations results from a `bulkInsert` API request.
      "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
          # `update`, or `delete`, and so on.
      "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
          # There is no requirement that this be linear or support any granularity of
          # operations. This should not be used to guess when the operation will be
          # complete. This number should monotonically increase as the operation
          # progresses.
      "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
          # applicable when performing regional operations.
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "setCommonInstanceMetadataOperationMetadata": { # [Output Only] If the operation is for projects.setCommonInstanceMetadata,
          # this field will contain information on all underlying zonal actions and
          # their state.
        "clientOperationId": "A String", # [Output Only] The client operation id.
        "perLocationOperations": { # [Output Only] Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
                # populated.
                # different programming environments, including REST APIs and RPC APIs. It is
                # used by [gRPC](https://github.com/grpc). Each `Status` message contains
                # three pieces of data: error code, error message, and error details.
                #
                # You can find out more about this error model and how to work with it in the
                # [API Design Guide](https://cloud.google.com/apis/design/errors).
              "code": 42, # The status code, which should be an enum value of google.rpc.Code.
              "details": [ # A list of messages that carry the error details.  There is a common set of
                  # message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
              "message": "A String", # A developer-facing error message, which should be in English. Any
                  # user-facing error message should be localized and sent in the
                  # google.rpc.Status.details field, or localized by the client.
            },
            "state": "A String", # [Output Only] Status of the action, which can be one of the following:
                # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
          },
        },
      },
      "startTime": "A String", # [Output Only] The time that this operation was started by the server.
          # This value is inRFC3339
          # text format.
      "status": "A String", # [Output Only] The status of the operation, which can be one of the
          # following:
          # `PENDING`, `RUNNING`, or `DONE`.
      "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
          # operation.
      "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
          # of the target resource.
      "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
          # operations related to creating a snapshot, this points to the disk
          # that the snapshot was created from.
      "user": "A String", # [Output Only] User who requested the operation, for example:
          # `user@example.com` or
          # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
      "warnings": [ # [Output Only] If warning messages are generated during processing of the
          # operation, this field will be populated.
        {
          "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
              # Engine returns NO_RESULTS_ON_PAGE if there
              # are no results in the response.
          "data": [ # [Output Only] Metadata about this warning in key:
              # value format. For example:
              #
              # "data": [
              #   {
              #    "key": "scope",
              #    "value": "zones/us-east1-d"
              #   }
            {
              "key": "A String", # [Output Only] A key that provides more detail on the warning being
                  # returned. For example, for warnings where there are no results in a list
                  # request for a particular zone, this key might be scope and
                  # the key value might be the zone name. Other examples might be a key
                  # indicating a deprecated resource and a suggested replacement, or a
                  # warning about invalid network settings (for example, if an instance
                  # attempts to perform IP forwarding but is not enabled for IP forwarding).
              "value": "A String", # [Output Only] A warning data value corresponding to the key.
            },
          ],
          "message": "A String", # [Output Only] A human-readable description of the warning code.
        },
      ],
      "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
          # applicable when performing per-zone operations.
    }

`list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None, returnPartialSuccess=None, x__xgafv=None)`

    Retrieves a list of autoscalers contained within
    the specified zone.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, Name of the zone for this request. (required)
      filter: string, A filter expression that filters resources listed in the response. Most
    Compute resources support two types of filter expressions:
    expressions that support regular expressions and expressions that follow
    API improvement proposal AIP-160.
    These two types of filter expressions cannot be mixed in one request.

    If you want to use AIP-160, your expression must specify the field name, an
    operator, and the value that you want to use for filtering. The value
    must be a string, a number, or a boolean. The operator
    must be either `=`, `!=`, `>`, `<`, `<=`, `>=` or `:`.

    For example, if you are filtering Compute Engine instances, you can
    exclude instances named `example-instance` by specifying
    `name != example-instance`.

    The `:*` comparison can be used to test whether a key has been defined.
    For example, to find all objects with `owner` label use:
    ```
    labels.owner:*
    ```

    You can also filter nested fields. For example, you could specify
    `scheduling.automaticRestart = false` to include instances only
    if they are not scheduled for automatic restarts. You can use filtering
    on nested fields to filter based onresource labels.

    To filter on multiple expressions, provide each separate expression within
    parentheses. For example:
    ```
    (scheduling.automaticRestart = true)
    (cpuPlatform = "Intel Skylake")
    ```
    By default, each expression is an `AND` expression. However, you
    can include `AND` and `OR` expressions explicitly.
    For example:
    ```
    (cpuPlatform = "Intel Skylake") OR
    (cpuPlatform = "Intel Broadwell") AND
    (scheduling.automaticRestart = true)
    ```

    If you want to use a regular expression, use the `eq` (equal) or `ne`
    (not equal) operator against a single un-parenthesized expression with or
    without quotes or against multiple parenthesized expressions. Examples:

    `fieldname eq unquoted literal`
    `fieldname eq 'single quoted literal'`
    `fieldname eq "double quoted literal"`
    `(fieldname1 eq literal) (fieldname2 ne "literal")`

    The literal value is interpreted as a regular expression using GoogleRE2 library syntax.
    The literal value must match the entire field.

    For example, to filter for instances that do not end with name "instance",
    you would use `name ne .*instance`.

    You cannot combine constraints on multiple fields using regular
    expressions.
      maxResults: integer, The maximum number of results per page that should be returned.
    If the number of available results is larger than `maxResults`,
    Compute Engine returns a `nextPageToken` that can be used to get
    the next page of results in subsequent list requests. Acceptable values are
    `0` to `500`, inclusive. (Default: `500`)
      orderBy: string, Sorts list results by a certain order. By default, results
    are returned in alphanumerical order based on the resource name.

    You can also sort results in descending order based on the creation
    timestamp using `orderBy="creationTimestamp desc"`. This sorts
    results based on the `creationTimestamp` field in
    reverse chronological order (newest result first). Use this to sort
    resources like operations so that the newest operation is returned first.

    Currently, only sorting by `name` or
    `creationTimestamp desc` is supported.
      pageToken: string, Specifies a page token to use. Set `pageToken` to the
    `nextPageToken` returned by a previous list request to get
    the next page of results.
      returnPartialSuccess: boolean, Opt-in for partial success behavior which provides partial results in case
    of failure. The default value is false.

    For example, when partial success behavior is enabled, aggregatedList for a
    single zone scope either returns all resources in the zone or no resources,
    with an error code.
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Contains a list of Autoscaler resources.
      "id": "A String", # [Output Only] Unique identifier for the resource; defined by the server.
      "items": [ # A list of Autoscaler resources.
        { # Represents an Autoscaler resource.
            #
            # Google Compute Engine has two Autoscaler resources:
            #
            # * [Zonal](/compute/docs/reference/rest/alpha/autoscalers)
            # * [Regional](/compute/docs/reference/rest/alpha/regionAutoscalers)
            #
            # Use autoscalers to automatically add or delete instances from a
            # managed instance group according to your defined autoscaling policy.
            # For more information, read Autoscaling Groups of Instances.
            #
            # For zonal managed instance groups resource, use the autoscaler
            # resource.
            #
            # For regional managed instance groups, use theregionAutoscalers resource.
          "autoscalingPolicy": { # Cloud Autoscaler policy. # The configuration parameters for the autoscaling algorithm. You can define
              # one or more signals for an autoscaler: cpuUtilization,customMetricUtilizations, andloadBalancingUtilization.
              #
              # If none of these are specified, the default will be to autoscale based oncpuUtilization to 0.6 or 60%.
            "coolDownPeriodSec": 42, # The number of seconds that your application takes to initialize on a VM
                # instance. This is referred to as the
                # [initialization period](/compute/docs/autoscaler#cool_down_period).
                # Specifying an accurate initialization period improves
                # autoscaler decisions. For example, when scaling out, the autoscaler ignores
                # data from VMs that are still initializing because those VMs might not yet
                # represent normal usage of your application. The default initialization
                # period is 60 seconds.
                #
                # Initialization periods might vary because of numerous
                # factors. We recommend that you test how long your application takes to
                # initialize. To do this, create a VM and time your application's startup
                # process.
            "cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale
                # based on the average CPU utilization of a managed instance group.
              "predictiveMethod": "A String", # Indicates whether predictive autoscaling based on CPU metric is enabled.
                  # Valid values are:
                  #
                  # * NONE (default). No predictive method is used. The autoscaler scales the
                  # group to meet current demand based on real-time metrics.
                  # * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by
                  # monitoring daily and weekly load patterns and scaling out ahead of
                  # anticipated demand.
              "utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be
                  # a float value in the range (0, 1]. If not specified, the default is0.6.
                  #
                  # If the CPU level is below the target utilization, the autoscaler scales
                  # in the number of instances until it reaches the minimum number of
                  # instances you specified or until the average CPU of your instances
                  # reaches the target utilization.
                  #
                  # If the average CPU is above the target utilization, the autoscaler
                  # scales out until it reaches the maximum number of instances you
                  # specified or until the average utilization reaches the target
                  # utilization.
            },
            "customMetricUtilizations": [ # Configuration parameters of autoscaling based on a custom metric.
              { # Custom utilization metric policy.
                "filter": "A String", # A filter string, compatible with a Stackdriver Monitoringfilter string forTimeSeries.list API call. This filter is
                    # used to select a specific TimeSeries for the purpose of autoscaling and
                    # to determine whether the metric is exporting per-instance or
                    # per-group data.
                    #
                    # For the filter to be valid for autoscaling purposes, the following rules
                    # apply:
                    #
                    #
                    #     - You can only use the AND operator for joining
                    #        selectors.
                    #     - You can only use direct equality comparison operator
                    #        (=) without any functions for each selector.
                    #     - You can specify the metric in both the filter string and in the
                    #        metric field. However, if specified in both places, the metric must
                    #        be identical.
                    #     - The monitored resource type
                    #        determines what kind of values are expected for the metric. If it is
                    #        a gce_instance, the autoscaler expects the metric to
                    #        include a separate TimeSeries for each instance in a group. In such a
                    #        case, you cannot filter on resource labels.
                    #
                    #
                    #    If the resource type is any other value, the autoscaler expects
                    #        this metric to contain values that apply to the entire autoscaled
                    #        instance group and resource label filtering can be performed to
                    #        point autoscaler at the correct TimeSeries to scale upon. This is
                    #        called a *per-group metric* for the purpose of autoscaling.
                    #
                    #        If not specified, the type defaults to
                    #        gce_instance.
                    #
                    #
                    #
                    # Try to provide a filter that is selective enough to pick just one
                    # TimeSeries for the autoscaled group or for each of the instances (if you
                    # are using gce_instance resource type). If multiple
                    # TimeSeries are returned upon the query execution, the autoscaler will sum
                    # their respective values to obtain its scaling value.
                "metric": "A String", # The identifier (type) of the Stackdriver Monitoring metric. The metric
                    # cannot have negative values.
                    #
                    # The metric must have a value type of INT64 orDOUBLE.
                "singleInstanceAssignment": 3.14, # If scaling is based on a per-group metric value that represents the
                    # total amount of work to be done or resource usage, set this value to an
                    # amount assigned for a single instance of the scaled group. Autoscaler
                    # keeps the number of instances proportional to the value of this
                    # metric. The metric itself does not change value due to group
                    # resizing.
                    #
                    # A good metric to use with the target is for examplepubsub.googleapis.com/subscription/num_undelivered_messages
                    # or a custom metric exporting the total number of requests coming to
                    # your instances.
                    #
                    # A bad example would be a metric exporting an average or median latency,
                    # since this value can't include a chunk assignable to a single instance,
                    # it could be better used with utilization_target instead.
                "utilizationTarget": 3.14, # The target value of the metric that autoscaler maintains. This
                    # must be a positive value. A utilization metric scales number of
                    # virtual machines handling requests to increase or decrease
                    # proportionally to the metric.
                    #
                    # For example, a good metric to use as a utilization_target ishttps://www.googleapis.com/compute/v1/instance/network/received_bytes_count.
                    # The autoscaler works to keep this value constant for each of the
                    # instances.
                "utilizationTargetType": "A String", # Defines how target utilization value is expressed for a Stackdriver
                    # Monitoring metric. Either GAUGE,DELTA_PER_SECOND, or DELTA_PER_MINUTE.
              },
            ],
            "loadBalancingUtilization": { # Configuration parameters of autoscaling based on load balancing. # Configuration parameters of autoscaling based on load balancer.
              "utilizationTarget": 3.14, # Fraction of backend capacity utilization (set in HTTP(S) load balancing
                  # configuration) that the autoscaler maintains. Must be a positive float
                  # value. If not defined, the default is 0.8.
            },
            "maxNumReplicas": 42, # The maximum number of instances that the autoscaler can scale out to. This
                # is required when creating or updating an autoscaler. The maximum number
                # of replicas must not be lower than minimal number of replicas.
            "minNumReplicas": 42, # The minimum number of replicas that the autoscaler can scale in to.
                # This cannot be less than 0. If not provided, autoscaler chooses a
                # default value depending on maximum number of instances allowed.
            "mode": "A String", # Defines the operating mode for this policy.
                # The following modes are available:
                #
                #    - OFF: Disables the autoscaler but maintains its
                #    configuration.
                #    - ONLY_SCALE_OUT: Restricts the autoscaler to add
                #    VM instances only.
                #    - ON: Enables all autoscaler activities according to its
                #    policy.
                #
                #
                # For more information, see
                # "Turning off or restricting an autoscaler"
            "scaleDownControl": { # Configuration that allows for slower scale in so that even if Autoscaler
                # recommends an abrupt scale in of a MIG, it will be throttled as specified
                # by the parameters below.
              "maxScaledDownReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
                  # recommendation during the window autoscaler looks at when computing
                  # recommendations. Possibly all these VMs can be deleted at once so user
                  # service needs to be prepared to lose that many VMs in one step.
                "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                    # specific mode.
                    #
                    #
                    #
                    #     - If the value is fixed, then the calculated
                    #      value is equal to the fixed value.
                    #     - If the value is a percent, then the
                    #     calculated
                    #      value is percent/100 * targetSize. For example,
                    #      the calculated value of a 80% of a managed instance group
                    #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                    #      is a remainder, the number is rounded.
                "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
                "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                    # example, specify 80 for 80%.
              },
              "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
                  # include directives regarding slower scale in, as described above.
            },
            "scaleInControl": { # Configuration that allows for slower scale in so that even if Autoscaler
                # recommends an abrupt scale in of a MIG, it will be throttled as specified
                # by the parameters below.
              "maxScaledInReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
                  # recommendation during the window autoscaler looks at when computing
                  # recommendations. Possibly all these VMs can be deleted at once so user
                  # service needs to be prepared to lose that many VMs in one step.
                "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                    # specific mode.
                    #
                    #
                    #
                    #     - If the value is fixed, then the calculated
                    #      value is equal to the fixed value.
                    #     - If the value is a percent, then the
                    #     calculated
                    #      value is percent/100 * targetSize. For example,
                    #      the calculated value of a 80% of a managed instance group
                    #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                    #      is a remainder, the number is rounded.
                "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
                "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                    # example, specify 80 for 80%.
              },
              "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
                  # include directives regarding slower scale in, as described above.
            },
            "scalingSchedules": { # Scaling schedules defined for an autoscaler. Multiple schedules
                # can be set on an autoscaler, and they can overlap. During overlapping
                # periods the greatest min_required_replicas of all scaling schedules is
                # applied. Up to 128 scaling schedules are allowed.
              "a_key": { # Scaling based on user-defined schedule. The message describes a single
                  # scaling schedule. A scaling schedule changes the minimum number of VM
                  # instances an autoscaler can recommend, which can trigger scaling out.
                "description": "A String", # A description of a scaling schedule.
                "disabled": True or False, # A boolean value that specifies whether a scaling schedule can influence
                    # autoscaler recommendations. If set to true, then a scaling schedule has
                    # no effect. This field is optional, and its value is false by default.
                "durationSec": 42, # The duration of time intervals, in seconds, for which this
                    # scaling schedule is to run. The minimum allowed value is 300.
                    # This field is required.
                "minRequiredReplicas": 42, # The minimum number of VM instances that the autoscaler will
                    # recommend in time intervals starting according to schedule. This field is
                    # required.
                "schedule": "A String", # The start timestamps of time intervals when this scaling
                    # schedule is to provide a scaling signal. This field uses the extended
                    # cron format (with an optional year field). The expression can describe a
                    # single timestamp if the optional year is set, in which case the scaling
                    # schedule runs once. The schedule is interpreted with respect to
                    # time_zone. This field is required. Note: These timestamps only describe
                    # when autoscaler starts providing the scaling signal. The VMs
                    # need additional time to become serving.
                "timeZone": "A String", # The time zone to use when interpreting the schedule.
                    # The value of this field must be a time zone name from the tz database:
                    # https://en.wikipedia.org/wiki/Tz_database. This field is assigned a
                    # default value of "UTC" if left empty.
              },
            },
          },
          "creationTimestamp": "A String", # [Output Only] Creation timestamp inRFC3339
              # text format.
          "description": "A String", # An optional description of this resource. Provide this property when you
              # create the resource.
          "id": "A String", # [Output Only] The unique identifier for the resource. This identifier is
              # defined by the server.
          "kind": "compute#autoscaler", # [Output Only] Type of the resource. Always compute#autoscaler
              # for autoscalers.
          "name": "A String", # Name of the resource. Provided by the client when the resource is created.
              # The name must be 1-63 characters long, and comply withRFC1035.
              # Specifically, the name must be 1-63 characters long and match the regular
              # expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first
              # character must be a lowercase letter, and all following characters must
              # be a dash, lowercase letter, or digit, except the last character, which
              # cannot be a dash.
          "recommendedSize": 42, # [Output Only] Target recommended MIG size (number of instances) computed by
              # autoscaler. Autoscaler calculates the recommended MIG size even when the
              # autoscaling policy mode is different from ON. This field is empty when
              # autoscaler is not connected to an existing managed instance group or
              # autoscaler did not generate its prediction.
          "region": "A String", # [Output Only] URL of theregion
              # where the instance group resides (for autoscalers living in regional
              # scope).
          "scalingScheduleStatus": { # [Output Only] Status information of existing scaling schedules.
            "a_key": {
              "lastStartTime": "A String", # [Output Only] The last time the scaling schedule became active.
                  # Note: this is a timestamp when a schedule actually became active, not when
                  # it was planned to do so.
                  # The timestamp is in RFC3339
                  # text format.
              "nextStartTime": "A String", # [Output Only] The next time the scaling schedule is to become active.
                  # Note: this is a timestamp when a schedule is planned to run, but the actual
                  # time might be slightly different.
                  # The timestamp is in RFC3339
                  # text format.
              "state": "A String", # [Output Only] The current state of a scaling schedule.
            },
          },
          "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
          "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
          "status": "A String", # [Output Only] The status of the autoscaler configuration. Current set of
              # possible values:
              #
              #    - PENDING:
              #      Autoscaler backend hasn't read new/updated configuration.
              #    - DELETING:
              #      Configuration is being deleted.
              #    - ACTIVE:
              #      Configuration is acknowledged to be effective. Some warnings might
              #      be present in the statusDetails field.
              #    - ERROR:
              #      Configuration has errors. Actionable for users. Details are present in
              #      the statusDetails field.
              #
              #
              # New values might be added in the future.
          "statusDetails": [ # [Output Only] Human-readable details about the current state of the
              # autoscaler. Read the documentation forCommonly
              # returned status messages for examples of status messages you might
              # encounter.
            {
              "message": "A String", # The status message.
              "type": "A String", # The type of error, warning, or notice returned. Current set of possible
                  # values:
                  #
                  #    - ALL_INSTANCES_UNHEALTHY (WARNING):
                  #      All instances in the instance group are unhealthy (not in RUNNING
                  #      state).
                  #    - BACKEND_SERVICE_DOES_NOT_EXIST (ERROR):
                  #      There is no backend service attached to the instance group.
                  #    - CAPPED_AT_MAX_NUM_REPLICAS (WARNING):
                  #      Autoscaler recommends a size greater than maxNumReplicas.
                  #    - CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE (WARNING):
                  #      The custom metric samples are not exported often enough to be
                  #      a credible base for autoscaling.
                  #    - CUSTOM_METRIC_INVALID (ERROR):
                  #      The custom metric that was specified does not exist or does not have
                  #      the necessary labels.
                  #    - MIN_EQUALS_MAX (WARNING):
                  #      The minNumReplicas is equal to maxNumReplicas. This means the
                  #      autoscaler cannot add or remove instances from the instance group.
                  #    - MISSING_CUSTOM_METRIC_DATA_POINTS (WARNING):
                  #      The autoscaler did not receive any data from the custom metric
                  #      configured for autoscaling.
                  #    - MISSING_LOAD_BALANCING_DATA_POINTS (WARNING):
                  #      The autoscaler is configured to scale based on a load balancing signal
                  #      but the instance group has not received any requests from the load
                  #      balancer.
                  #    - MODE_OFF (WARNING):
                  #      Autoscaling is turned off. The number of instances in the group won't
                  #      change automatically. The autoscaling configuration is preserved.
                  #    - MODE_ONLY_UP (WARNING):
                  #      Autoscaling is in the "Autoscale only out" mode. The autoscaler can add
                  #      instances but not remove any.
                  #    - MORE_THAN_ONE_BACKEND_SERVICE (ERROR):
                  #      The instance group cannot be autoscaled because it has more than one
                  #      backend service attached to it.
                  #    - NOT_ENOUGH_QUOTA_AVAILABLE (ERROR):
                  #      There is insufficient quota for the necessary resources, such as CPU or
                  #      number of instances.
                  #    - REGION_RESOURCE_STOCKOUT (ERROR):
                  #      Shown only for regional autoscalers: there is a resource stockout in
                  #      the chosen region.
                  #    - SCALING_TARGET_DOES_NOT_EXIST (ERROR):
                  #      The target to be scaled does not exist.
                  #    - UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION
                  #      (ERROR): Autoscaling does not work with an HTTP/S load balancer that
                  #      has been configured for maxRate.
                  #    - ZONE_RESOURCE_STOCKOUT (ERROR):
                  #      For zonal autoscalers: there is a resource stockout in the chosen zone.
                  #      For regional autoscalers: in at least one of the zones you're using
                  #      there is a resource stockout.
                  #
                  #
                  # New values might be added in the future. Some of the values might not be
                  # available in all API versions.
            },
          ],
          "target": "A String", # URL of the managed instance group that this autoscaler will scale. This
              # field is required when creating an autoscaler.
          "zone": "A String", # [Output Only] URL of thezone
              # where the instance group resides (for autoscalers living in zonal scope).
        },
      ],
      "kind": "compute#autoscalerList", # [Output Only] Type of resource. Always compute#autoscalerList
          # for lists of autoscalers.
      "nextPageToken": "A String", # [Output Only] This token allows you to get the next page of results for
          # list requests. If the number of results is larger thanmaxResults, use the nextPageToken as a value for
          # the query parameter pageToken in the next list request.
          # Subsequent list requests will have their own nextPageToken to
          # continue paging through the results.
      "selfLink": "A String", # [Output Only] Server-defined URL for this resource.
      "warning": { # [Output Only] Informational warning message.
        "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
            # Engine returns NO_RESULTS_ON_PAGE if there
            # are no results in the response.
        "data": [ # [Output Only] Metadata about this warning in key:
            # value format. For example:
            #
            # "data": [
            #   {
            #    "key": "scope",
            #    "value": "zones/us-east1-d"
            #   }
          {
            "key": "A String", # [Output Only] A key that provides more detail on the warning being
                # returned. For example, for warnings where there are no results in a list
                # request for a particular zone, this key might be scope and
                # the key value might be the zone name. Other examples might be a key
                # indicating a deprecated resource and a suggested replacement, or a
                # warning about invalid network settings (for example, if an instance
                # attempts to perform IP forwarding but is not enabled for IP forwarding).
            "value": "A String", # [Output Only] A warning data value corresponding to the key.
          },
        ],
        "message": "A String", # [Output Only] A human-readable description of the warning code.
      },
    }

`list_next()`

    Retrieves the next page of results.

            Args:
              previous_request: The request for the previous page. (required)
              previous_response: The response from the request for the previous page. (required)

            Returns:
              A request object that you can call 'execute()' on to request the next
              page. Returns None if there are no more items in the collection.

`patch(project, zone, autoscaler=None, body=None, requestId=None, x__xgafv=None)`

    Updates an autoscaler in the specified project using the data
    included in the request. This method supportsPATCH
    semantics and uses theJSON merge
    patch format and processing rules.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, Name of the zone for this request. (required)
      body: object, The request body.
        The object takes the form of:

    { # Represents an Autoscaler resource.
        #
        # Google Compute Engine has two Autoscaler resources:
        #
        # * [Zonal](/compute/docs/reference/rest/alpha/autoscalers)
        # * [Regional](/compute/docs/reference/rest/alpha/regionAutoscalers)
        #
        # Use autoscalers to automatically add or delete instances from a
        # managed instance group according to your defined autoscaling policy.
        # For more information, read Autoscaling Groups of Instances.
        #
        # For zonal managed instance groups resource, use the autoscaler
        # resource.
        #
        # For regional managed instance groups, use theregionAutoscalers resource.
      "autoscalingPolicy": { # Cloud Autoscaler policy. # The configuration parameters for the autoscaling algorithm. You can define
          # one or more signals for an autoscaler: cpuUtilization,customMetricUtilizations, andloadBalancingUtilization.
          #
          # If none of these are specified, the default will be to autoscale based oncpuUtilization to 0.6 or 60%.
        "coolDownPeriodSec": 42, # The number of seconds that your application takes to initialize on a VM
            # instance. This is referred to as the
            # [initialization period](/compute/docs/autoscaler#cool_down_period).
            # Specifying an accurate initialization period improves
            # autoscaler decisions. For example, when scaling out, the autoscaler ignores
            # data from VMs that are still initializing because those VMs might not yet
            # represent normal usage of your application. The default initialization
            # period is 60 seconds.
            #
            # Initialization periods might vary because of numerous
            # factors. We recommend that you test how long your application takes to
            # initialize. To do this, create a VM and time your application's startup
            # process.
        "cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale
            # based on the average CPU utilization of a managed instance group.
          "predictiveMethod": "A String", # Indicates whether predictive autoscaling based on CPU metric is enabled.
              # Valid values are:
              #
              # * NONE (default). No predictive method is used. The autoscaler scales the
              # group to meet current demand based on real-time metrics.
              # * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by
              # monitoring daily and weekly load patterns and scaling out ahead of
              # anticipated demand.
          "utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be
              # a float value in the range (0, 1]. If not specified, the default is0.6.
              #
              # If the CPU level is below the target utilization, the autoscaler scales
              # in the number of instances until it reaches the minimum number of
              # instances you specified or until the average CPU of your instances
              # reaches the target utilization.
              #
              # If the average CPU is above the target utilization, the autoscaler
              # scales out until it reaches the maximum number of instances you
              # specified or until the average utilization reaches the target
              # utilization.
        },
        "customMetricUtilizations": [ # Configuration parameters of autoscaling based on a custom metric.
          { # Custom utilization metric policy.
            "filter": "A String", # A filter string, compatible with a Stackdriver Monitoringfilter string forTimeSeries.list API call. This filter is
                # used to select a specific TimeSeries for the purpose of autoscaling and
                # to determine whether the metric is exporting per-instance or
                # per-group data.
                #
                # For the filter to be valid for autoscaling purposes, the following rules
                # apply:
                #
                #
                #     - You can only use the AND operator for joining
                #        selectors.
                #     - You can only use direct equality comparison operator
                #        (=) without any functions for each selector.
                #     - You can specify the metric in both the filter string and in the
                #        metric field. However, if specified in both places, the metric must
                #        be identical.
                #     - The monitored resource type
                #        determines what kind of values are expected for the metric. If it is
                #        a gce_instance, the autoscaler expects the metric to
                #        include a separate TimeSeries for each instance in a group. In such a
                #        case, you cannot filter on resource labels.
                #
                #
                #    If the resource type is any other value, the autoscaler expects
                #        this metric to contain values that apply to the entire autoscaled
                #        instance group and resource label filtering can be performed to
                #        point autoscaler at the correct TimeSeries to scale upon. This is
                #        called a *per-group metric* for the purpose of autoscaling.
                #
                #        If not specified, the type defaults to
                #        gce_instance.
                #
                #
                #
                # Try to provide a filter that is selective enough to pick just one
                # TimeSeries for the autoscaled group or for each of the instances (if you
                # are using gce_instance resource type). If multiple
                # TimeSeries are returned upon the query execution, the autoscaler will sum
                # their respective values to obtain its scaling value.
            "metric": "A String", # The identifier (type) of the Stackdriver Monitoring metric. The metric
                # cannot have negative values.
                #
                # The metric must have a value type of INT64 orDOUBLE.
            "singleInstanceAssignment": 3.14, # If scaling is based on a per-group metric value that represents the
                # total amount of work to be done or resource usage, set this value to an
                # amount assigned for a single instance of the scaled group. Autoscaler
                # keeps the number of instances proportional to the value of this
                # metric. The metric itself does not change value due to group
                # resizing.
                #
                # A good metric to use with the target is for examplepubsub.googleapis.com/subscription/num_undelivered_messages
                # or a custom metric exporting the total number of requests coming to
                # your instances.
                #
                # A bad example would be a metric exporting an average or median latency,
                # since this value can't include a chunk assignable to a single instance,
                # it could be better used with utilization_target instead.
            "utilizationTarget": 3.14, # The target value of the metric that autoscaler maintains. This
                # must be a positive value. A utilization metric scales number of
                # virtual machines handling requests to increase or decrease
                # proportionally to the metric.
                #
                # For example, a good metric to use as a utilization_target ishttps://www.googleapis.com/compute/v1/instance/network/received_bytes_count.
                # The autoscaler works to keep this value constant for each of the
                # instances.
            "utilizationTargetType": "A String", # Defines how target utilization value is expressed for a Stackdriver
                # Monitoring metric. Either GAUGE,DELTA_PER_SECOND, or DELTA_PER_MINUTE.
          },
        ],
        "loadBalancingUtilization": { # Configuration parameters of autoscaling based on load balancing. # Configuration parameters of autoscaling based on load balancer.
          "utilizationTarget": 3.14, # Fraction of backend capacity utilization (set in HTTP(S) load balancing
              # configuration) that the autoscaler maintains. Must be a positive float
              # value. If not defined, the default is 0.8.
        },
        "maxNumReplicas": 42, # The maximum number of instances that the autoscaler can scale out to. This
            # is required when creating or updating an autoscaler. The maximum number
            # of replicas must not be lower than minimal number of replicas.
        "minNumReplicas": 42, # The minimum number of replicas that the autoscaler can scale in to.
            # This cannot be less than 0. If not provided, autoscaler chooses a
            # default value depending on maximum number of instances allowed.
        "mode": "A String", # Defines the operating mode for this policy.
            # The following modes are available:
            #
            #    - OFF: Disables the autoscaler but maintains its
            #    configuration.
            #    - ONLY_SCALE_OUT: Restricts the autoscaler to add
            #    VM instances only.
            #    - ON: Enables all autoscaler activities according to its
            #    policy.
            #
            #
            # For more information, see
            # "Turning off or restricting an autoscaler"
        "scaleDownControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledDownReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scaleInControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledInReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scalingSchedules": { # Scaling schedules defined for an autoscaler. Multiple schedules
            # can be set on an autoscaler, and they can overlap. During overlapping
            # periods the greatest min_required_replicas of all scaling schedules is
            # applied. Up to 128 scaling schedules are allowed.
          "a_key": { # Scaling based on user-defined schedule. The message describes a single
              # scaling schedule. A scaling schedule changes the minimum number of VM
              # instances an autoscaler can recommend, which can trigger scaling out.
            "description": "A String", # A description of a scaling schedule.
            "disabled": True or False, # A boolean value that specifies whether a scaling schedule can influence
                # autoscaler recommendations. If set to true, then a scaling schedule has
                # no effect. This field is optional, and its value is false by default.
            "durationSec": 42, # The duration of time intervals, in seconds, for which this
                # scaling schedule is to run. The minimum allowed value is 300.
                # This field is required.
            "minRequiredReplicas": 42, # The minimum number of VM instances that the autoscaler will
                # recommend in time intervals starting according to schedule. This field is
                # required.
            "schedule": "A String", # The start timestamps of time intervals when this scaling
                # schedule is to provide a scaling signal. This field uses the extended
                # cron format (with an optional year field). The expression can describe a
                # single timestamp if the optional year is set, in which case the scaling
                # schedule runs once. The schedule is interpreted with respect to
                # time_zone. This field is required. Note: These timestamps only describe
                # when autoscaler starts providing the scaling signal. The VMs
                # need additional time to become serving.
            "timeZone": "A String", # The time zone to use when interpreting the schedule.
                # The value of this field must be a time zone name from the tz database:
                # https://en.wikipedia.org/wiki/Tz_database. This field is assigned a
                # default value of "UTC" if left empty.
          },
        },
      },
      "creationTimestamp": "A String", # [Output Only] Creation timestamp inRFC3339
          # text format.
      "description": "A String", # An optional description of this resource. Provide this property when you
          # create the resource.
      "id": "A String", # [Output Only] The unique identifier for the resource. This identifier is
          # defined by the server.
      "kind": "compute#autoscaler", # [Output Only] Type of the resource. Always compute#autoscaler
          # for autoscalers.
      "name": "A String", # Name of the resource. Provided by the client when the resource is created.
          # The name must be 1-63 characters long, and comply withRFC1035.
          # Specifically, the name must be 1-63 characters long and match the regular
          # expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first
          # character must be a lowercase letter, and all following characters must
          # be a dash, lowercase letter, or digit, except the last character, which
          # cannot be a dash.
      "recommendedSize": 42, # [Output Only] Target recommended MIG size (number of instances) computed by
          # autoscaler. Autoscaler calculates the recommended MIG size even when the
          # autoscaling policy mode is different from ON. This field is empty when
          # autoscaler is not connected to an existing managed instance group or
          # autoscaler did not generate its prediction.
      "region": "A String", # [Output Only] URL of theregion
          # where the instance group resides (for autoscalers living in regional
          # scope).
      "scalingScheduleStatus": { # [Output Only] Status information of existing scaling schedules.
        "a_key": {
          "lastStartTime": "A String", # [Output Only] The last time the scaling schedule became active.
              # Note: this is a timestamp when a schedule actually became active, not when
              # it was planned to do so.
              # The timestamp is in RFC3339
              # text format.
          "nextStartTime": "A String", # [Output Only] The next time the scaling schedule is to become active.
              # Note: this is a timestamp when a schedule is planned to run, but the actual
              # time might be slightly different.
              # The timestamp is in RFC3339
              # text format.
          "state": "A String", # [Output Only] The current state of a scaling schedule.
        },
      },
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "status": "A String", # [Output Only] The status of the autoscaler configuration. Current set of
          # possible values:
          #
          #    - PENDING:
          #      Autoscaler backend hasn't read new/updated configuration.
          #    - DELETING:
          #      Configuration is being deleted.
          #    - ACTIVE:
          #      Configuration is acknowledged to be effective. Some warnings might
          #      be present in the statusDetails field.
          #    - ERROR:
          #      Configuration has errors. Actionable for users. Details are present in
          #      the statusDetails field.
          #
          #
          # New values might be added in the future.
      "statusDetails": [ # [Output Only] Human-readable details about the current state of the
          # autoscaler. Read the documentation forCommonly
          # returned status messages for examples of status messages you might
          # encounter.
        {
          "message": "A String", # The status message.
          "type": "A String", # The type of error, warning, or notice returned. Current set of possible
              # values:
              #
              #    - ALL_INSTANCES_UNHEALTHY (WARNING):
              #      All instances in the instance group are unhealthy (not in RUNNING
              #      state).
              #    - BACKEND_SERVICE_DOES_NOT_EXIST (ERROR):
              #      There is no backend service attached to the instance group.
              #    - CAPPED_AT_MAX_NUM_REPLICAS (WARNING):
              #      Autoscaler recommends a size greater than maxNumReplicas.
              #    - CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE (WARNING):
              #      The custom metric samples are not exported often enough to be
              #      a credible base for autoscaling.
              #    - CUSTOM_METRIC_INVALID (ERROR):
              #      The custom metric that was specified does not exist or does not have
              #      the necessary labels.
              #    - MIN_EQUALS_MAX (WARNING):
              #      The minNumReplicas is equal to maxNumReplicas. This means the
              #      autoscaler cannot add or remove instances from the instance group.
              #    - MISSING_CUSTOM_METRIC_DATA_POINTS (WARNING):
              #      The autoscaler did not receive any data from the custom metric
              #      configured for autoscaling.
              #    - MISSING_LOAD_BALANCING_DATA_POINTS (WARNING):
              #      The autoscaler is configured to scale based on a load balancing signal
              #      but the instance group has not received any requests from the load
              #      balancer.
              #    - MODE_OFF (WARNING):
              #      Autoscaling is turned off. The number of instances in the group won't
              #      change automatically. The autoscaling configuration is preserved.
              #    - MODE_ONLY_UP (WARNING):
              #      Autoscaling is in the "Autoscale only out" mode. The autoscaler can add
              #      instances but not remove any.
              #    - MORE_THAN_ONE_BACKEND_SERVICE (ERROR):
              #      The instance group cannot be autoscaled because it has more than one
              #      backend service attached to it.
              #    - NOT_ENOUGH_QUOTA_AVAILABLE (ERROR):
              #      There is insufficient quota for the necessary resources, such as CPU or
              #      number of instances.
              #    - REGION_RESOURCE_STOCKOUT (ERROR):
              #      Shown only for regional autoscalers: there is a resource stockout in
              #      the chosen region.
              #    - SCALING_TARGET_DOES_NOT_EXIST (ERROR):
              #      The target to be scaled does not exist.
              #    - UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION
              #      (ERROR): Autoscaling does not work with an HTTP/S load balancer that
              #      has been configured for maxRate.
              #    - ZONE_RESOURCE_STOCKOUT (ERROR):
              #      For zonal autoscalers: there is a resource stockout in the chosen zone.
              #      For regional autoscalers: in at least one of the zones you're using
              #      there is a resource stockout.
              #
              #
              # New values might be added in the future. Some of the values might not be
              # available in all API versions.
        },
      ],
      "target": "A String", # URL of the managed instance group that this autoscaler will scale. This
          # field is required when creating an autoscaler.
      "zone": "A String", # [Output Only] URL of thezone
          # where the instance group resides (for autoscalers living in zonal scope).
    }

      autoscaler: string, Name of the autoscaler to patch.
      requestId: string, An optional request ID to identify requests. Specify a unique request ID so
    that if you must retry your request, the server will know to ignore the
    request if it has already been completed.

    For example, consider a situation where you make an initial request and
    the request times out. If you make the request again with the same
    request ID, the server can check if original operation with the same
    request ID was received, and if so, will ignore the second request. This
    prevents clients from accidentally creating duplicate commitments.

    The request ID must be
    a valid UUID with the exception that zero UUID is not supported
    (00000000-0000-0000-0000-000000000000).
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Represents an Operation resource.
        #
        # Google Compute Engine has three Operation resources:
        #
        # * [Global](/compute/docs/reference/rest/alpha/globalOperations)
        # * [Regional](/compute/docs/reference/rest/alpha/regionOperations)
        # * [Zonal](/compute/docs/reference/rest/alpha/zoneOperations)
        #
        # You can use an operation resource to manage asynchronous API requests.
        # For more information, readHandling
        # API responses.
        #
        # Operations can be global, regional or zonal.
        #
        #    - For global operations, use the `globalOperations`
        #    resource.
        #    - For regional operations, use the
        #    `regionOperations` resource.
        #    - For zonal operations, use
        #    the `zoneOperations` resource.
        #
        #
        #
        # For more information, read
        # Global, Regional, and Zonal Resources.
        #
        # Note that completed Operation resources have a limited
        # retention period.
      "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
          # Not present otherwise.
      "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
      "description": "A String", # [Output Only] A textual description of the operation, which is
          # set when the operation is created.
      "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
          # text format.
      "error": { # [Output Only] If errors are generated during processing of the operation,
          # this field will be populated.
        "errors": [ # [Output Only] The array of errors encountered while processing this
            # operation.
          {
            "code": "A String", # [Output Only] The error type identifier for this error.
            "errorDetails": [ # [Output Only] An optional list of messages that contain the error
                # details. There is a set of defined message types to use for providing
                # details.The syntax depends on the error code. For example,
                # QuotaExceededInfo will have details when the error code is
                # QUOTA_EXCEEDED.
              {
                "errorInfo": { # Describes the cause of the error with structured details.
                    #
                    # Example of an error when contacting the "pubsub.googleapis.com" API when it
                    # is not enabled:
                    #
                    #     { "reason": "API_DISABLED"
                    #       "domain": "googleapis.com"
                    #       "metadata": {
                    #         "resource": "projects/123",
                    #         "service": "pubsub.googleapis.com"
                    #       }
                    #     }
                    #
                    # This response indicates that the pubsub.googleapis.com API is not enabled.
                    #
                    # Example of an error that is returned when attempting to create a Spanner
                    # instance in a region that is out of stock:
                    #
                    #     { "reason": "STOCKOUT"
                    #       "domain": "spanner.googleapis.com",
                    #       "metadata": {
                    #         "availableRegions": "us-central1,us-east2"
                    #       }
                    #     }
                  "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
                      # is typically the registered service name of the tool or product that
                      # generates the error. Example: "pubsub.googleapis.com". If the error is
                      # generated by some common infrastructure, the error domain must be a
                      # globally unique value that identifies the infrastructure. For Google API
                      # infrastructure, the error domain is "googleapis.com".
                  "metadatas": { # Additional structured details about this error.
                      #
                      # Keys must match a regular expression of `a-z+` but should
                      # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
                      # length. When identifying the current value of an exceeded limit, the units
                      # should be contained in the key, not the value.  For example, rather than
                      # `{"instanceLimit": "100/request"}`, should be returned as,
                      # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
                      # instances that can be created in a single (batch) request.
                    "a_key": "A String",
                  },
                  "reason": "A String", # The reason of the error. This is a constant value that identifies the
                      # proximate cause of the error. Error reasons are unique within a particular
                      # domain of errors. This should be at most 63 characters and match a
                      # regular expression of `A-Z+[A-Z0-9]`, which represents
                      # UPPER_SNAKE_CASE.
                },
                "help": { # Provides links to documentation or for performing an out of band action.
                    #
                    # For example, if a quota check failed with an error indicating the calling
                    # project hasn't enabled the accessed service, this can contain a URL pointing
                    # directly to the right place in the developer console to flip the bit.
                  "links": [ # URL(s) pointing to additional information on handling the current error.
                    { # Describes a URL link.
                      "description": "A String", # Describes what the link offers.
                      "url": "A String", # The URL of the link.
                    },
                  ],
                },
                "localizedMessage": { # Provides a localized error message that is safe to return to the user
                    # which can be attached to an RPC error.
                  "locale": "A String", # The locale used following the specification defined at
                      # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
                      # Examples are: "en-US", "fr-CH", "es-MX"
                  "message": "A String", # The localized error message in the above locale.
                },
                "quotaInfo": { # Additional details for quota exceeded error for resource quota.
                  "dimensions": { # The map holding related quota dimensions.
                    "a_key": "A String",
                  },
                  "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
                      #  type or metric.
                  "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
                      # or metric.
                  "limitName": "A String", # The name of the quota limit.
                  "metricName": "A String", # The Compute Engine quota metric name.
                  "rolloutStatus": "A String", # Rollout status of the future quota limit.
                },
              },
            ],
            "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
                # This property is optional.
            "message": "A String", # [Output Only] An optional, human-readable error message.
          },
        ],
      },
      "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
          # message that was returned, such as `NOT FOUND`.
      "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
          # status code that was returned. For example, a `404` means the
          # resource was not found.
      "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
          # defined by the server.
      "insertTime": "A String", # [Output Only] The time that this operation was requested.
          # This value is inRFC3339
          # text format.
      "instancesBulkInsertOperationMetadata": {
        "perLocationStatus": { # Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
            "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
            "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
                # error.
            "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
                # if the flow is rolling forward or rolling back.
            "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
          },
        },
      },
      "kind": "compute#operation", # [Output Only] Type of the resource. Always `compute#operation` for
          # Operation resources.
      "name": "A String", # [Output Only] Name of the operation.
      "operationGroupId": "A String", # [Output Only] An ID that represents a group of operations, such as when a
          # group of operations results from a `bulkInsert` API request.
      "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
          # `update`, or `delete`, and so on.
      "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
          # There is no requirement that this be linear or support any granularity of
          # operations. This should not be used to guess when the operation will be
          # complete. This number should monotonically increase as the operation
          # progresses.
      "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
          # applicable when performing regional operations.
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "setCommonInstanceMetadataOperationMetadata": { # [Output Only] If the operation is for projects.setCommonInstanceMetadata,
          # this field will contain information on all underlying zonal actions and
          # their state.
        "clientOperationId": "A String", # [Output Only] The client operation id.
        "perLocationOperations": { # [Output Only] Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
                # populated.
                # different programming environments, including REST APIs and RPC APIs. It is
                # used by [gRPC](https://github.com/grpc). Each `Status` message contains
                # three pieces of data: error code, error message, and error details.
                #
                # You can find out more about this error model and how to work with it in the
                # [API Design Guide](https://cloud.google.com/apis/design/errors).
              "code": 42, # The status code, which should be an enum value of google.rpc.Code.
              "details": [ # A list of messages that carry the error details.  There is a common set of
                  # message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
              "message": "A String", # A developer-facing error message, which should be in English. Any
                  # user-facing error message should be localized and sent in the
                  # google.rpc.Status.details field, or localized by the client.
            },
            "state": "A String", # [Output Only] Status of the action, which can be one of the following:
                # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
          },
        },
      },
      "startTime": "A String", # [Output Only] The time that this operation was started by the server.
          # This value is inRFC3339
          # text format.
      "status": "A String", # [Output Only] The status of the operation, which can be one of the
          # following:
          # `PENDING`, `RUNNING`, or `DONE`.
      "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
          # operation.
      "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
          # of the target resource.
      "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
          # operations related to creating a snapshot, this points to the disk
          # that the snapshot was created from.
      "user": "A String", # [Output Only] User who requested the operation, for example:
          # `user@example.com` or
          # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
      "warnings": [ # [Output Only] If warning messages are generated during processing of the
          # operation, this field will be populated.
        {
          "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
              # Engine returns NO_RESULTS_ON_PAGE if there
              # are no results in the response.
          "data": [ # [Output Only] Metadata about this warning in key:
              # value format. For example:
              #
              # "data": [
              #   {
              #    "key": "scope",
              #    "value": "zones/us-east1-d"
              #   }
            {
              "key": "A String", # [Output Only] A key that provides more detail on the warning being
                  # returned. For example, for warnings where there are no results in a list
                  # request for a particular zone, this key might be scope and
                  # the key value might be the zone name. Other examples might be a key
                  # indicating a deprecated resource and a suggested replacement, or a
                  # warning about invalid network settings (for example, if an instance
                  # attempts to perform IP forwarding but is not enabled for IP forwarding).
              "value": "A String", # [Output Only] A warning data value corresponding to the key.
            },
          ],
          "message": "A String", # [Output Only] A human-readable description of the warning code.
        },
      ],
      "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
          # applicable when performing per-zone operations.
    }

`testIamPermissions(project, zone, resource, body=None, x__xgafv=None)`

    Returns permissions that a caller has on the specified resource.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, The name of the zone for this request. (required)
      resource: string, Name or id of the resource for this request. (required)
      body: object, The request body.
        The object takes the form of:

    {
      "permissions": [ # The set of permissions to check for the 'resource'. Permissions with
          # wildcards (such as '*' or 'storage.*') are not allowed.
        "A String",
      ],
    }

      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        {
      "permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is
          # allowed.
        "A String",
      ],
    }

`update(project, zone, autoscaler=None, body=None, requestId=None, x__xgafv=None)`

    Updates an autoscaler in the specified project using the data
    included in the request.

    Args:
      project: string, Project ID for this request. (required)
      zone: string, Name of the zone for this request. (required)
      body: object, The request body.
        The object takes the form of:

    { # Represents an Autoscaler resource.
        #
        # Google Compute Engine has two Autoscaler resources:
        #
        # * [Zonal](/compute/docs/reference/rest/alpha/autoscalers)
        # * [Regional](/compute/docs/reference/rest/alpha/regionAutoscalers)
        #
        # Use autoscalers to automatically add or delete instances from a
        # managed instance group according to your defined autoscaling policy.
        # For more information, read Autoscaling Groups of Instances.
        #
        # For zonal managed instance groups resource, use the autoscaler
        # resource.
        #
        # For regional managed instance groups, use theregionAutoscalers resource.
      "autoscalingPolicy": { # Cloud Autoscaler policy. # The configuration parameters for the autoscaling algorithm. You can define
          # one or more signals for an autoscaler: cpuUtilization,customMetricUtilizations, andloadBalancingUtilization.
          #
          # If none of these are specified, the default will be to autoscale based oncpuUtilization to 0.6 or 60%.
        "coolDownPeriodSec": 42, # The number of seconds that your application takes to initialize on a VM
            # instance. This is referred to as the
            # [initialization period](/compute/docs/autoscaler#cool_down_period).
            # Specifying an accurate initialization period improves
            # autoscaler decisions. For example, when scaling out, the autoscaler ignores
            # data from VMs that are still initializing because those VMs might not yet
            # represent normal usage of your application. The default initialization
            # period is 60 seconds.
            #
            # Initialization periods might vary because of numerous
            # factors. We recommend that you test how long your application takes to
            # initialize. To do this, create a VM and time your application's startup
            # process.
        "cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale
            # based on the average CPU utilization of a managed instance group.
          "predictiveMethod": "A String", # Indicates whether predictive autoscaling based on CPU metric is enabled.
              # Valid values are:
              #
              # * NONE (default). No predictive method is used. The autoscaler scales the
              # group to meet current demand based on real-time metrics.
              # * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by
              # monitoring daily and weekly load patterns and scaling out ahead of
              # anticipated demand.
          "utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be
              # a float value in the range (0, 1]. If not specified, the default is0.6.
              #
              # If the CPU level is below the target utilization, the autoscaler scales
              # in the number of instances until it reaches the minimum number of
              # instances you specified or until the average CPU of your instances
              # reaches the target utilization.
              #
              # If the average CPU is above the target utilization, the autoscaler
              # scales out until it reaches the maximum number of instances you
              # specified or until the average utilization reaches the target
              # utilization.
        },
        "customMetricUtilizations": [ # Configuration parameters of autoscaling based on a custom metric.
          { # Custom utilization metric policy.
            "filter": "A String", # A filter string, compatible with a Stackdriver Monitoringfilter string forTimeSeries.list API call. This filter is
                # used to select a specific TimeSeries for the purpose of autoscaling and
                # to determine whether the metric is exporting per-instance or
                # per-group data.
                #
                # For the filter to be valid for autoscaling purposes, the following rules
                # apply:
                #
                #
                #     - You can only use the AND operator for joining
                #        selectors.
                #     - You can only use direct equality comparison operator
                #        (=) without any functions for each selector.
                #     - You can specify the metric in both the filter string and in the
                #        metric field. However, if specified in both places, the metric must
                #        be identical.
                #     - The monitored resource type
                #        determines what kind of values are expected for the metric. If it is
                #        a gce_instance, the autoscaler expects the metric to
                #        include a separate TimeSeries for each instance in a group. In such a
                #        case, you cannot filter on resource labels.
                #
                #
                #    If the resource type is any other value, the autoscaler expects
                #        this metric to contain values that apply to the entire autoscaled
                #        instance group and resource label filtering can be performed to
                #        point autoscaler at the correct TimeSeries to scale upon. This is
                #        called a *per-group metric* for the purpose of autoscaling.
                #
                #        If not specified, the type defaults to
                #        gce_instance.
                #
                #
                #
                # Try to provide a filter that is selective enough to pick just one
                # TimeSeries for the autoscaled group or for each of the instances (if you
                # are using gce_instance resource type). If multiple
                # TimeSeries are returned upon the query execution, the autoscaler will sum
                # their respective values to obtain its scaling value.
            "metric": "A String", # The identifier (type) of the Stackdriver Monitoring metric. The metric
                # cannot have negative values.
                #
                # The metric must have a value type of INT64 orDOUBLE.
            "singleInstanceAssignment": 3.14, # If scaling is based on a per-group metric value that represents the
                # total amount of work to be done or resource usage, set this value to an
                # amount assigned for a single instance of the scaled group. Autoscaler
                # keeps the number of instances proportional to the value of this
                # metric. The metric itself does not change value due to group
                # resizing.
                #
                # A good metric to use with the target is for examplepubsub.googleapis.com/subscription/num_undelivered_messages
                # or a custom metric exporting the total number of requests coming to
                # your instances.
                #
                # A bad example would be a metric exporting an average or median latency,
                # since this value can't include a chunk assignable to a single instance,
                # it could be better used with utilization_target instead.
            "utilizationTarget": 3.14, # The target value of the metric that autoscaler maintains. This
                # must be a positive value. A utilization metric scales number of
                # virtual machines handling requests to increase or decrease
                # proportionally to the metric.
                #
                # For example, a good metric to use as a utilization_target ishttps://www.googleapis.com/compute/v1/instance/network/received_bytes_count.
                # The autoscaler works to keep this value constant for each of the
                # instances.
            "utilizationTargetType": "A String", # Defines how target utilization value is expressed for a Stackdriver
                # Monitoring metric. Either GAUGE,DELTA_PER_SECOND, or DELTA_PER_MINUTE.
          },
        ],
        "loadBalancingUtilization": { # Configuration parameters of autoscaling based on load balancing. # Configuration parameters of autoscaling based on load balancer.
          "utilizationTarget": 3.14, # Fraction of backend capacity utilization (set in HTTP(S) load balancing
              # configuration) that the autoscaler maintains. Must be a positive float
              # value. If not defined, the default is 0.8.
        },
        "maxNumReplicas": 42, # The maximum number of instances that the autoscaler can scale out to. This
            # is required when creating or updating an autoscaler. The maximum number
            # of replicas must not be lower than minimal number of replicas.
        "minNumReplicas": 42, # The minimum number of replicas that the autoscaler can scale in to.
            # This cannot be less than 0. If not provided, autoscaler chooses a
            # default value depending on maximum number of instances allowed.
        "mode": "A String", # Defines the operating mode for this policy.
            # The following modes are available:
            #
            #    - OFF: Disables the autoscaler but maintains its
            #    configuration.
            #    - ONLY_SCALE_OUT: Restricts the autoscaler to add
            #    VM instances only.
            #    - ON: Enables all autoscaler activities according to its
            #    policy.
            #
            #
            # For more information, see
            # "Turning off or restricting an autoscaler"
        "scaleDownControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledDownReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scaleInControl": { # Configuration that allows for slower scale in so that even if Autoscaler
            # recommends an abrupt scale in of a MIG, it will be throttled as specified
            # by the parameters below.
          "maxScaledInReplicas": { # Encapsulates numeric value that can be either absolute or relative. # Maximum allowed number (or %) of VMs that can be deducted from the peak
              # recommendation during the window autoscaler looks at when computing
              # recommendations. Possibly all these VMs can be deleted at once so user
              # service needs to be prepared to lose that many VMs in one step.
            "calculated": 42, # [Output Only] Absolute value of VM instances calculated based on the
                # specific mode.
                #
                #
                #
                #     - If the value is fixed, then the calculated
                #      value is equal to the fixed value.
                #     - If the value is a percent, then the
                #     calculated
                #      value is percent/100 * targetSize. For example,
                #      the calculated value of a 80% of a managed instance group
                #      with 150 instances would be (80/100 * 150) = 120 VM instances. If there
                #      is a remainder, the number is rounded.
            "fixed": 42, # Specifies a fixed number of VM instances. This must be a positive integer.
            "percent": 42, # Specifies a percentage of instances between 0 to 100%, inclusive. For
                # example, specify 80 for 80%.
          },
          "timeWindowSec": 42, # How far back autoscaling looks when computing recommendations to
              # include directives regarding slower scale in, as described above.
        },
        "scalingSchedules": { # Scaling schedules defined for an autoscaler. Multiple schedules
            # can be set on an autoscaler, and they can overlap. During overlapping
            # periods the greatest min_required_replicas of all scaling schedules is
            # applied. Up to 128 scaling schedules are allowed.
          "a_key": { # Scaling based on user-defined schedule. The message describes a single
              # scaling schedule. A scaling schedule changes the minimum number of VM
              # instances an autoscaler can recommend, which can trigger scaling out.
            "description": "A String", # A description of a scaling schedule.
            "disabled": True or False, # A boolean value that specifies whether a scaling schedule can influence
                # autoscaler recommendations. If set to true, then a scaling schedule has
                # no effect. This field is optional, and its value is false by default.
            "durationSec": 42, # The duration of time intervals, in seconds, for which this
                # scaling schedule is to run. The minimum allowed value is 300.
                # This field is required.
            "minRequiredReplicas": 42, # The minimum number of VM instances that the autoscaler will
                # recommend in time intervals starting according to schedule. This field is
                # required.
            "schedule": "A String", # The start timestamps of time intervals when this scaling
                # schedule is to provide a scaling signal. This field uses the extended
                # cron format (with an optional year field). The expression can describe a
                # single timestamp if the optional year is set, in which case the scaling
                # schedule runs once. The schedule is interpreted with respect to
                # time_zone. This field is required. Note: These timestamps only describe
                # when autoscaler starts providing the scaling signal. The VMs
                # need additional time to become serving.
            "timeZone": "A String", # The time zone to use when interpreting the schedule.
                # The value of this field must be a time zone name from the tz database:
                # https://en.wikipedia.org/wiki/Tz_database. This field is assigned a
                # default value of "UTC" if left empty.
          },
        },
      },
      "creationTimestamp": "A String", # [Output Only] Creation timestamp inRFC3339
          # text format.
      "description": "A String", # An optional description of this resource. Provide this property when you
          # create the resource.
      "id": "A String", # [Output Only] The unique identifier for the resource. This identifier is
          # defined by the server.
      "kind": "compute#autoscaler", # [Output Only] Type of the resource. Always compute#autoscaler
          # for autoscalers.
      "name": "A String", # Name of the resource. Provided by the client when the resource is created.
          # The name must be 1-63 characters long, and comply withRFC1035.
          # Specifically, the name must be 1-63 characters long and match the regular
          # expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first
          # character must be a lowercase letter, and all following characters must
          # be a dash, lowercase letter, or digit, except the last character, which
          # cannot be a dash.
      "recommendedSize": 42, # [Output Only] Target recommended MIG size (number of instances) computed by
          # autoscaler. Autoscaler calculates the recommended MIG size even when the
          # autoscaling policy mode is different from ON. This field is empty when
          # autoscaler is not connected to an existing managed instance group or
          # autoscaler did not generate its prediction.
      "region": "A String", # [Output Only] URL of theregion
          # where the instance group resides (for autoscalers living in regional
          # scope).
      "scalingScheduleStatus": { # [Output Only] Status information of existing scaling schedules.
        "a_key": {
          "lastStartTime": "A String", # [Output Only] The last time the scaling schedule became active.
              # Note: this is a timestamp when a schedule actually became active, not when
              # it was planned to do so.
              # The timestamp is in RFC3339
              # text format.
          "nextStartTime": "A String", # [Output Only] The next time the scaling schedule is to become active.
              # Note: this is a timestamp when a schedule is planned to run, but the actual
              # time might be slightly different.
              # The timestamp is in RFC3339
              # text format.
          "state": "A String", # [Output Only] The current state of a scaling schedule.
        },
      },
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "status": "A String", # [Output Only] The status of the autoscaler configuration. Current set of
          # possible values:
          #
          #    - PENDING:
          #      Autoscaler backend hasn't read new/updated configuration.
          #    - DELETING:
          #      Configuration is being deleted.
          #    - ACTIVE:
          #      Configuration is acknowledged to be effective. Some warnings might
          #      be present in the statusDetails field.
          #    - ERROR:
          #      Configuration has errors. Actionable for users. Details are present in
          #      the statusDetails field.
          #
          #
          # New values might be added in the future.
      "statusDetails": [ # [Output Only] Human-readable details about the current state of the
          # autoscaler. Read the documentation forCommonly
          # returned status messages for examples of status messages you might
          # encounter.
        {
          "message": "A String", # The status message.
          "type": "A String", # The type of error, warning, or notice returned. Current set of possible
              # values:
              #
              #    - ALL_INSTANCES_UNHEALTHY (WARNING):
              #      All instances in the instance group are unhealthy (not in RUNNING
              #      state).
              #    - BACKEND_SERVICE_DOES_NOT_EXIST (ERROR):
              #      There is no backend service attached to the instance group.
              #    - CAPPED_AT_MAX_NUM_REPLICAS (WARNING):
              #      Autoscaler recommends a size greater than maxNumReplicas.
              #    - CUSTOM_METRIC_DATA_POINTS_TOO_SPARSE (WARNING):
              #      The custom metric samples are not exported often enough to be
              #      a credible base for autoscaling.
              #    - CUSTOM_METRIC_INVALID (ERROR):
              #      The custom metric that was specified does not exist or does not have
              #      the necessary labels.
              #    - MIN_EQUALS_MAX (WARNING):
              #      The minNumReplicas is equal to maxNumReplicas. This means the
              #      autoscaler cannot add or remove instances from the instance group.
              #    - MISSING_CUSTOM_METRIC_DATA_POINTS (WARNING):
              #      The autoscaler did not receive any data from the custom metric
              #      configured for autoscaling.
              #    - MISSING_LOAD_BALANCING_DATA_POINTS (WARNING):
              #      The autoscaler is configured to scale based on a load balancing signal
              #      but the instance group has not received any requests from the load
              #      balancer.
              #    - MODE_OFF (WARNING):
              #      Autoscaling is turned off. The number of instances in the group won't
              #      change automatically. The autoscaling configuration is preserved.
              #    - MODE_ONLY_UP (WARNING):
              #      Autoscaling is in the "Autoscale only out" mode. The autoscaler can add
              #      instances but not remove any.
              #    - MORE_THAN_ONE_BACKEND_SERVICE (ERROR):
              #      The instance group cannot be autoscaled because it has more than one
              #      backend service attached to it.
              #    - NOT_ENOUGH_QUOTA_AVAILABLE (ERROR):
              #      There is insufficient quota for the necessary resources, such as CPU or
              #      number of instances.
              #    - REGION_RESOURCE_STOCKOUT (ERROR):
              #      Shown only for regional autoscalers: there is a resource stockout in
              #      the chosen region.
              #    - SCALING_TARGET_DOES_NOT_EXIST (ERROR):
              #      The target to be scaled does not exist.
              #    - UNSUPPORTED_MAX_RATE_LOAD_BALANCING_CONFIGURATION
              #      (ERROR): Autoscaling does not work with an HTTP/S load balancer that
              #      has been configured for maxRate.
              #    - ZONE_RESOURCE_STOCKOUT (ERROR):
              #      For zonal autoscalers: there is a resource stockout in the chosen zone.
              #      For regional autoscalers: in at least one of the zones you're using
              #      there is a resource stockout.
              #
              #
              # New values might be added in the future. Some of the values might not be
              # available in all API versions.
        },
      ],
      "target": "A String", # URL of the managed instance group that this autoscaler will scale. This
          # field is required when creating an autoscaler.
      "zone": "A String", # [Output Only] URL of thezone
          # where the instance group resides (for autoscalers living in zonal scope).
    }

      autoscaler: string, Name of the autoscaler to update.
      requestId: string, An optional request ID to identify requests. Specify a unique request ID so
    that if you must retry your request, the server will know to ignore the
    request if it has already been completed.

    For example, consider a situation where you make an initial request and
    the request times out. If you make the request again with the same
    request ID, the server can check if original operation with the same
    request ID was received, and if so, will ignore the second request. This
    prevents clients from accidentally creating duplicate commitments.

    The request ID must be
    a valid UUID with the exception that zero UUID is not supported
    (00000000-0000-0000-0000-000000000000).
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Represents an Operation resource.
        #
        # Google Compute Engine has three Operation resources:
        #
        # * [Global](/compute/docs/reference/rest/alpha/globalOperations)
        # * [Regional](/compute/docs/reference/rest/alpha/regionOperations)
        # * [Zonal](/compute/docs/reference/rest/alpha/zoneOperations)
        #
        # You can use an operation resource to manage asynchronous API requests.
        # For more information, readHandling
        # API responses.
        #
        # Operations can be global, regional or zonal.
        #
        #    - For global operations, use the `globalOperations`
        #    resource.
        #    - For regional operations, use the
        #    `regionOperations` resource.
        #    - For zonal operations, use
        #    the `zoneOperations` resource.
        #
        #
        #
        # For more information, read
        # Global, Regional, and Zonal Resources.
        #
        # Note that completed Operation resources have a limited
        # retention period.
      "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
          # Not present otherwise.
      "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
      "description": "A String", # [Output Only] A textual description of the operation, which is
          # set when the operation is created.
      "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
          # text format.
      "error": { # [Output Only] If errors are generated during processing of the operation,
          # this field will be populated.
        "errors": [ # [Output Only] The array of errors encountered while processing this
            # operation.
          {
            "code": "A String", # [Output Only] The error type identifier for this error.
            "errorDetails": [ # [Output Only] An optional list of messages that contain the error
                # details. There is a set of defined message types to use for providing
                # details.The syntax depends on the error code. For example,
                # QuotaExceededInfo will have details when the error code is
                # QUOTA_EXCEEDED.
              {
                "errorInfo": { # Describes the cause of the error with structured details.
                    #
                    # Example of an error when contacting the "pubsub.googleapis.com" API when it
                    # is not enabled:
                    #
                    #     { "reason": "API_DISABLED"
                    #       "domain": "googleapis.com"
                    #       "metadata": {
                    #         "resource": "projects/123",
                    #         "service": "pubsub.googleapis.com"
                    #       }
                    #     }
                    #
                    # This response indicates that the pubsub.googleapis.com API is not enabled.
                    #
                    # Example of an error that is returned when attempting to create a Spanner
                    # instance in a region that is out of stock:
                    #
                    #     { "reason": "STOCKOUT"
                    #       "domain": "spanner.googleapis.com",
                    #       "metadata": {
                    #         "availableRegions": "us-central1,us-east2"
                    #       }
                    #     }
                  "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
                      # is typically the registered service name of the tool or product that
                      # generates the error. Example: "pubsub.googleapis.com". If the error is
                      # generated by some common infrastructure, the error domain must be a
                      # globally unique value that identifies the infrastructure. For Google API
                      # infrastructure, the error domain is "googleapis.com".
                  "metadatas": { # Additional structured details about this error.
                      #
                      # Keys must match a regular expression of `a-z+` but should
                      # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
                      # length. When identifying the current value of an exceeded limit, the units
                      # should be contained in the key, not the value.  For example, rather than
                      # `{"instanceLimit": "100/request"}`, should be returned as,
                      # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
                      # instances that can be created in a single (batch) request.
                    "a_key": "A String",
                  },
                  "reason": "A String", # The reason of the error. This is a constant value that identifies the
                      # proximate cause of the error. Error reasons are unique within a particular
                      # domain of errors. This should be at most 63 characters and match a
                      # regular expression of `A-Z+[A-Z0-9]`, which represents
                      # UPPER_SNAKE_CASE.
                },
                "help": { # Provides links to documentation or for performing an out of band action.
                    #
                    # For example, if a quota check failed with an error indicating the calling
                    # project hasn't enabled the accessed service, this can contain a URL pointing
                    # directly to the right place in the developer console to flip the bit.
                  "links": [ # URL(s) pointing to additional information on handling the current error.
                    { # Describes a URL link.
                      "description": "A String", # Describes what the link offers.
                      "url": "A String", # The URL of the link.
                    },
                  ],
                },
                "localizedMessage": { # Provides a localized error message that is safe to return to the user
                    # which can be attached to an RPC error.
                  "locale": "A String", # The locale used following the specification defined at
                      # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
                      # Examples are: "en-US", "fr-CH", "es-MX"
                  "message": "A String", # The localized error message in the above locale.
                },
                "quotaInfo": { # Additional details for quota exceeded error for resource quota.
                  "dimensions": { # The map holding related quota dimensions.
                    "a_key": "A String",
                  },
                  "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
                      #  type or metric.
                  "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
                      # or metric.
                  "limitName": "A String", # The name of the quota limit.
                  "metricName": "A String", # The Compute Engine quota metric name.
                  "rolloutStatus": "A String", # Rollout status of the future quota limit.
                },
              },
            ],
            "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
                # This property is optional.
            "message": "A String", # [Output Only] An optional, human-readable error message.
          },
        ],
      },
      "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
          # message that was returned, such as `NOT FOUND`.
      "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
          # status code that was returned. For example, a `404` means the
          # resource was not found.
      "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
          # defined by the server.
      "insertTime": "A String", # [Output Only] The time that this operation was requested.
          # This value is inRFC3339
          # text format.
      "instancesBulkInsertOperationMetadata": {
        "perLocationStatus": { # Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
            "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
            "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
                # error.
            "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
                # if the flow is rolling forward or rolling back.
            "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
          },
        },
      },
      "kind": "compute#operation", # [Output Only] Type of the resource. Always `compute#operation` for
          # Operation resources.
      "name": "A String", # [Output Only] Name of the operation.
      "operationGroupId": "A String", # [Output Only] An ID that represents a group of operations, such as when a
          # group of operations results from a `bulkInsert` API request.
      "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
          # `update`, or `delete`, and so on.
      "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
          # There is no requirement that this be linear or support any granularity of
          # operations. This should not be used to guess when the operation will be
          # complete. This number should monotonically increase as the operation
          # progresses.
      "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
          # applicable when performing regional operations.
      "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
      "selfLinkWithId": "A String", # [Output Only] Server-defined URL for this resource with the resource id.
      "setCommonInstanceMetadataOperationMetadata": { # [Output Only] If the operation is for projects.setCommonInstanceMetadata,
          # this field will contain information on all underlying zonal actions and
          # their state.
        "clientOperationId": "A String", # [Output Only] The client operation id.
        "perLocationOperations": { # [Output Only] Status information per location (location name is key).
            # Example key: zones/us-central1-a
          "a_key": {
            "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
                # populated.
                # different programming environments, including REST APIs and RPC APIs. It is
                # used by [gRPC](https://github.com/grpc). Each `Status` message contains
                # three pieces of data: error code, error message, and error details.
                #
                # You can find out more about this error model and how to work with it in the
                # [API Design Guide](https://cloud.google.com/apis/design/errors).
              "code": 42, # The status code, which should be an enum value of google.rpc.Code.
              "details": [ # A list of messages that carry the error details.  There is a common set of
                  # message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
              "message": "A String", # A developer-facing error message, which should be in English. Any
                  # user-facing error message should be localized and sent in the
                  # google.rpc.Status.details field, or localized by the client.
            },
            "state": "A String", # [Output Only] Status of the action, which can be one of the following:
                # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
          },
        },
      },
      "startTime": "A String", # [Output Only] The time that this operation was started by the server.
          # This value is inRFC3339
          # text format.
      "status": "A String", # [Output Only] The status of the operation, which can be one of the
          # following:
          # `PENDING`, `RUNNING`, or `DONE`.
      "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
          # operation.
      "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
          # of the target resource.
      "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
          # operations related to creating a snapshot, this points to the disk
          # that the snapshot was created from.
      "user": "A String", # [Output Only] User who requested the operation, for example:
          # `user@example.com` or
          # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
      "warnings": [ # [Output Only] If warning messages are generated during processing of the
          # operation, this field will be populated.
        {
          "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
              # Engine returns NO_RESULTS_ON_PAGE if there
              # are no results in the response.
          "data": [ # [Output Only] Metadata about this warning in key:
              # value format. For example:
              #
              # "data": [
              #   {
              #    "key": "scope",
              #    "value": "zones/us-east1-d"
              #   }
            {
              "key": "A String", # [Output Only] A key that provides more detail on the warning being
                  # returned. For example, for warnings where there are no results in a list
                  # request for a particular zone, this key might be scope and
                  # the key value might be the zone name. Other examples might be a key
                  # indicating a deprecated resource and a suggested replacement, or a
                  # warning about invalid network settings (for example, if an instance
                  # attempts to perform IP forwarding but is not enabled for IP forwarding).
              "value": "A String", # [Output Only] A warning data value corresponding to the key.
            },
          ],
          "message": "A String", # [Output Only] A human-readable description of the warning code.
        },
      ],
      "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
          # applicable when performing per-zone operations.
    }