# Google Service Control API . services

## Instance Methods

Checks an operation with Google Service Control to decide whether

Reports operations to Google Service Control. It should be called

### Method Details

`check(serviceName=None, body, x__xgafv=None)`

    Checks an operation with Google Service Control to decide whether
    the given operation should proceed. It should be called before the
    operation is executed.

    This method requires the `servicemanagement.services.check` permission
    on the specified service. For more information, see
    [Google Cloud IAM](https://cloud.google.com/iam).

    Args:
      serviceName: string, The service name as specified in its service configuration. For example,
    `"pubsub.googleapis.com"`.

    See google.api.Service for the definition of a service name. (required)
      body: object, The request body. (required)
        The object takes the form of:

    { # Request message for the Check method.
        "operation": { # Represents information regarding an operation. # The operation to be checked.
          "operationName": "A String", # Fully qualified name of the operation. Reserved for future use.
          "metricValueSets": [ # Represents information about this operation. Each MetricValueSet
              # corresponds to a metric defined in the service configuration.
              # The data type used in the MetricValueSet must agree with
              # the data type specified in the metric definition.
              #
              # Within a single operation, it is not allowed to have more than one
              # MetricValue instances that have the same metric names and identical
              # label value combinations. If a request has such duplicated MetricValue
              # instances, the entire request is rejected with
              # an invalid argument error.
            { # Represents a set of metric values in the same metric.
                # Each metric value in the set should have a unique combination of start time,
                # end time, and label values.
              "metricValues": [ # The values in this metric.
                { # Represents a single metric value.
                  "labels": { # The labels describing the metric value.
                      # See comments on google.api.servicecontrol.v1.Operation.labels for
                      # the overriding relationship.
                    "a_key": "A String",
                  },
                  "doubleValue": 3.14, # A double precision floating point value.
                  "boolValue": True or False, # A boolean value.
                  "startTime": "A String", # The start of the time period over which this metric value's measurement
                      # applies. The time period has different semantics for different metric
                      # types (cumulative, delta, and gauge). See the metric definition
                      # documentation in the service configuration for details.
                  "distributionValue": { # Distribution represents a frequency distribution of double-valued sample # A distribution value.
                      # points. It contains the size of the population of sample points plus
                      # additional optional information:
                      #
                      #   - the arithmetic mean of the samples
                      #   - the minimum and maximum of the samples
                      #   - the sum-squared-deviation of the samples, used to compute variance
                      #   - a histogram of the values of the sample points
                    "count": "A String", # The total number of samples in the distribution. Must be >= 0.
                    "bucketCounts": [ # The number of samples in each histogram bucket. `bucket_counts` are
                        # optional. If present, they must sum to the `count` value.
                        #
                        # The buckets are defined below in `bucket_option`. There are N buckets.
                        # `bucket_counts[0]` is the number of samples in the underflow bucket.
                        # `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples
                        # in each of the finite buckets. And `bucket_counts[N] is the number
                        # of samples in the overflow bucket. See the comments of `bucket_option`
                        # below for more details.
                        #
                        # Any suffix of trailing zeros may be omitted.
                      "A String",
                    ],
                    "exponentialBuckets": { # Describing buckets with exponentially growing width. # Buckets with exponentially growing width.
                      "scale": 3.14, # The i'th exponential bucket covers the interval
                          #   [scale * growth_factor^(i-1), scale * growth_factor^i)
                          # where i ranges from 1 to num_finite_buckets inclusive.
                          # Must be > 0.
                      "growthFactor": 3.14, # The i'th exponential bucket covers the interval
                          #   [scale * growth_factor^(i-1), scale * growth_factor^i)
                          # where i ranges from 1 to num_finite_buckets inclusive.
                          # Must be larger than 1.0.
                      "numFiniteBuckets": 42, # The number of finite buckets. With the underflow and overflow buckets,
                          # the total number of buckets is `num_finite_buckets` + 2.
                          # See comments on `bucket_options` for details.
                    },
                    "minimum": 3.14, # The minimum of the population of values. Ignored if `count` is zero.
                    "maximum": 3.14, # The maximum of the population of values. Ignored if `count` is zero.
                    "sumOfSquaredDeviation": 3.14, # The sum of squared deviations from the mean:
                        #   Sum[i=1..count]((x_i - mean)^2)
                        # where each x_i is a sample values. If `count` is zero then this field
                        # must be zero, otherwise validation of the request fails.
                    "linearBuckets": { # Describing buckets with constant width. # Buckets with constant width.
                      "width": 3.14, # The i'th linear bucket covers the interval
                          #   [offset + (i-1) * width, offset + i * width)
                          # where i ranges from 1 to num_finite_buckets, inclusive.
                          # Must be strictly positive.
                      "numFiniteBuckets": 42, # The number of finite buckets. With the underflow and overflow buckets,
                          # the total number of buckets is `num_finite_buckets` + 2.
                          # See comments on `bucket_options` for details.
                      "offset": 3.14, # The i'th linear bucket covers the interval
                          #   [offset + (i-1) * width, offset + i * width)
                          # where i ranges from 1 to num_finite_buckets, inclusive.
                    },
                    "explicitBuckets": { # Describing buckets with arbitrary user-provided width. # Buckets with arbitrary user-provided width.
                      "bounds": [ # 'bound' is a list of strictly increasing boundaries between
                          # buckets. Note that a list of length N-1 defines N buckets because
                          # of fenceposting. See comments on `bucket_options` for details.
                          #
                          # The i'th finite bucket covers the interval
                          #   [bound[i-1], bound[i])
                          # where i ranges from 1 to bound_size() - 1. Note that there are no
                          # finite buckets at all if 'bound' only contains a single element; in
                          # that special case the single bound defines the boundary between the
                          # underflow and overflow buckets.
                          #
                          # bucket number                   lower bound    upper bound
                          #  i == 0 (underflow)              -inf           bound[i]
                          #  0 < i < bound_size()            bound[i-1]     bound[i]
                          #  i == bound_size() (overflow)    bound[i-1]     +inf
                        3.14,
                      ],
                    },
                    "mean": 3.14, # The arithmetic mean of the samples in the distribution. If `count` is
                        # zero then this field must be zero.
                  },
                  "stringValue": "A String", # A text string value.
                  "int64Value": "A String", # A signed 64-bit integer value.
                  "endTime": "A String", # The end of the time period over which this metric value's measurement
                      # applies.
                },
              ],
              "metricName": "A String", # The metric name defined in the service configuration.
            },
          ],
          "importance": "A String", # DO NOT USE. This is an experimental field.
          "labels": { # Labels describing the operation. Only the following labels are allowed:
              #
              # - Labels describing monitored resources as defined in
              #   the service configuration.
              # - Default labels of metric values. When specified, labels defined in the
              #   metric value override these default.
              # - The following labels defined by Google Cloud Platform:
              #     - `cloud.googleapis.com/location` describing the location where the
              #        operation happened,
              #     - `servicecontrol.googleapis.com/user_agent` describing the user agent
              #        of the API request,
              #     - `servicecontrol.googleapis.com/service_agent` describing the service
              #        used to handle the API request (e.g. ESP),
              #     - `servicecontrol.googleapis.com/platform` describing the platform
              #        where the API is served (e.g. GAE, GCE, GKE).
            "a_key": "A String",
          },
          "consumerId": "A String", # Identity of the consumer who is using the service.
              # This field should be filled in for the operations initiated by a
              # consumer, but not for service-initiated operations that are
              # not related to a specific consumer.
              #
              # This can be in one of the following formats:
              #   project:,
              #   project_number:,
              #   api_key:.
          "logEntries": [ # Represents information to be logged.
            { # An individual log entry.
              "name": "A String", # Required. The log to which this log entry belongs. Examples: `"syslog"`,
                  # `"book_log"`.
              "textPayload": "A String", # The log entry payload, represented as a Unicode string (UTF-8).
              "timestamp": "A String", # The time the event described by the log entry occurred. If
                  # omitted, defaults to operation start time.
              "labels": { # A set of user-defined (key, value) data that provides additional
                  # information about the log entry.
                "a_key": "A String",
              },
              "structPayload": { # The log entry payload, represented as a structure that
                  # is expressed as a JSON object.
                "a_key": "", # Properties of the object.
              },
              "insertId": "A String", # A unique ID for the log entry used for deduplication. If omitted,
                  # the implementation will generate one based on operation_id.
              "protoPayload": { # The log entry payload, represented as a protocol buffer that is
                  # expressed as a JSON object. You can only pass `protoPayload`
                  # values that belong to a set of approved types.
                "a_key": "", # Properties of the object. Contains field @type with type URL.
              },
              "severity": "A String", # The severity of the log entry. The default value is
                  # `LogSeverity.DEFAULT`.
            },
          ],
          "startTime": "A String", # Required. Start time of the operation.
          "endTime": "A String", # End time of the operation.
              # Required when the operation is used in ServiceController.Report,
              # but optional when the operation is used in ServiceController.Check.
          "operationId": "A String", # Identity of the operation. This must be unique within the scope of the
              # service that generated the operation. If the service calls
              # Check() and Report() on the same operation, the two calls should carry
              # the same id.
              #
              # UUID version 4 is recommended, though not required.
              # In scenarios where an operation is computed from existing information
              # and an idempotent id is desirable for deduplication purpose, UUID version 5
              # is recommended. See RFC 4122 for details.
        },
      }

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

    Returns:
      An object of the form:

        { # Response message for the Check method.
        "serviceConfigId": "A String", # The actual config id used to process the request.
        "checkErrors": [ # Indicate the decision of the check.
            #
            # If no check errors are present, the service should process the operation.
            # Otherwise the service should use the list of errors to determine the
            # appropriate action.
          { # Defines the errors to be returned in
              # google.api.servicecontrol.v1.CheckResponse.check_errors.
            "code": "A String", # The error code.
            "detail": "A String", # Free-form text providing details on the error cause of the error.
          },
        ],
        "operationId": "A String", # The same operation_id value used in the CheckRequest.
            # Used for logging and diagnostics purposes.
      }

`report(serviceName=None, body, x__xgafv=None)`

    Reports operations to Google Service Control. It should be called
    after the operation is completed.

    This method requires the `servicemanagement.services.report` permission
    on the specified service. For more information, see
    [Google Cloud IAM](https://cloud.google.com/iam).

    Args:
      serviceName: string, The service name as specified in its service configuration. For example,
    `"pubsub.googleapis.com"`.

    See google.api.Service for the definition of a service name. (required)
      body: object, The request body. (required)
        The object takes the form of:

    { # Request message for the Report method.
        "operations": [ # Operations to be reported.
            #
            # Typically the service should report one operation per request.
            # Putting multiple operations into a single request is allowed, but should
            # be used only when multiple operations are natually available at the time
            # of the report.
            #
            # If multiple operations are in a single request, the total request size
            # should be no larger than 1MB. See ReportResponse.report_errors for
            # partial failure behavior.
          { # Represents information regarding an operation.
            "operationName": "A String", # Fully qualified name of the operation. Reserved for future use.
            "metricValueSets": [ # Represents information about this operation. Each MetricValueSet
                # corresponds to a metric defined in the service configuration.
                # The data type used in the MetricValueSet must agree with
                # the data type specified in the metric definition.
                #
                # Within a single operation, it is not allowed to have more than one
                # MetricValue instances that have the same metric names and identical
                # label value combinations. If a request has such duplicated MetricValue
                # instances, the entire request is rejected with
                # an invalid argument error.
              { # Represents a set of metric values in the same metric.
                  # Each metric value in the set should have a unique combination of start time,
                  # end time, and label values.
                "metricValues": [ # The values in this metric.
                  { # Represents a single metric value.
                    "labels": { # The labels describing the metric value.
                        # See comments on google.api.servicecontrol.v1.Operation.labels for
                        # the overriding relationship.
                      "a_key": "A String",
                    },
                    "doubleValue": 3.14, # A double precision floating point value.
                    "boolValue": True or False, # A boolean value.
                    "startTime": "A String", # The start of the time period over which this metric value's measurement
                        # applies. The time period has different semantics for different metric
                        # types (cumulative, delta, and gauge). See the metric definition
                        # documentation in the service configuration for details.
                    "distributionValue": { # Distribution represents a frequency distribution of double-valued sample # A distribution value.
                        # points. It contains the size of the population of sample points plus
                        # additional optional information:
                        #
                        #   - the arithmetic mean of the samples
                        #   - the minimum and maximum of the samples
                        #   - the sum-squared-deviation of the samples, used to compute variance
                        #   - a histogram of the values of the sample points
                      "count": "A String", # The total number of samples in the distribution. Must be >= 0.
                      "bucketCounts": [ # The number of samples in each histogram bucket. `bucket_counts` are
                          # optional. If present, they must sum to the `count` value.
                          #
                          # The buckets are defined below in `bucket_option`. There are N buckets.
                          # `bucket_counts[0]` is the number of samples in the underflow bucket.
                          # `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples
                          # in each of the finite buckets. And `bucket_counts[N] is the number
                          # of samples in the overflow bucket. See the comments of `bucket_option`
                          # below for more details.
                          #
                          # Any suffix of trailing zeros may be omitted.
                        "A String",
                      ],
                      "exponentialBuckets": { # Describing buckets with exponentially growing width. # Buckets with exponentially growing width.
                        "scale": 3.14, # The i'th exponential bucket covers the interval
                            #   [scale * growth_factor^(i-1), scale * growth_factor^i)
                            # where i ranges from 1 to num_finite_buckets inclusive.
                            # Must be > 0.
                        "growthFactor": 3.14, # The i'th exponential bucket covers the interval
                            #   [scale * growth_factor^(i-1), scale * growth_factor^i)
                            # where i ranges from 1 to num_finite_buckets inclusive.
                            # Must be larger than 1.0.
                        "numFiniteBuckets": 42, # The number of finite buckets. With the underflow and overflow buckets,
                            # the total number of buckets is `num_finite_buckets` + 2.
                            # See comments on `bucket_options` for details.
                      },
                      "minimum": 3.14, # The minimum of the population of values. Ignored if `count` is zero.
                      "maximum": 3.14, # The maximum of the population of values. Ignored if `count` is zero.
                      "sumOfSquaredDeviation": 3.14, # The sum of squared deviations from the mean:
                          #   Sum[i=1..count]((x_i - mean)^2)
                          # where each x_i is a sample values. If `count` is zero then this field
                          # must be zero, otherwise validation of the request fails.
                      "linearBuckets": { # Describing buckets with constant width. # Buckets with constant width.
                        "width": 3.14, # The i'th linear bucket covers the interval
                            #   [offset + (i-1) * width, offset + i * width)
                            # where i ranges from 1 to num_finite_buckets, inclusive.
                            # Must be strictly positive.
                        "numFiniteBuckets": 42, # The number of finite buckets. With the underflow and overflow buckets,
                            # the total number of buckets is `num_finite_buckets` + 2.
                            # See comments on `bucket_options` for details.
                        "offset": 3.14, # The i'th linear bucket covers the interval
                            #   [offset + (i-1) * width, offset + i * width)
                            # where i ranges from 1 to num_finite_buckets, inclusive.
                      },
                      "explicitBuckets": { # Describing buckets with arbitrary user-provided width. # Buckets with arbitrary user-provided width.
                        "bounds": [ # 'bound' is a list of strictly increasing boundaries between
                            # buckets. Note that a list of length N-1 defines N buckets because
                            # of fenceposting. See comments on `bucket_options` for details.
                            #
                            # The i'th finite bucket covers the interval
                            #   [bound[i-1], bound[i])
                            # where i ranges from 1 to bound_size() - 1. Note that there are no
                            # finite buckets at all if 'bound' only contains a single element; in
                            # that special case the single bound defines the boundary between the
                            # underflow and overflow buckets.
                            #
                            # bucket number                   lower bound    upper bound
                            #  i == 0 (underflow)              -inf           bound[i]
                            #  0 < i < bound_size()            bound[i-1]     bound[i]
                            #  i == bound_size() (overflow)    bound[i-1]     +inf
                          3.14,
                        ],
                      },
                      "mean": 3.14, # The arithmetic mean of the samples in the distribution. If `count` is
                          # zero then this field must be zero.
                    },
                    "stringValue": "A String", # A text string value.
                    "int64Value": "A String", # A signed 64-bit integer value.
                    "endTime": "A String", # The end of the time period over which this metric value's measurement
                        # applies.
                  },
                ],
                "metricName": "A String", # The metric name defined in the service configuration.
              },
            ],
            "importance": "A String", # DO NOT USE. This is an experimental field.
            "labels": { # Labels describing the operation. Only the following labels are allowed:
                #
                # - Labels describing monitored resources as defined in
                #   the service configuration.
                # - Default labels of metric values. When specified, labels defined in the
                #   metric value override these default.
                # - The following labels defined by Google Cloud Platform:
                #     - `cloud.googleapis.com/location` describing the location where the
                #        operation happened,
                #     - `servicecontrol.googleapis.com/user_agent` describing the user agent
                #        of the API request,
                #     - `servicecontrol.googleapis.com/service_agent` describing the service
                #        used to handle the API request (e.g. ESP),
                #     - `servicecontrol.googleapis.com/platform` describing the platform
                #        where the API is served (e.g. GAE, GCE, GKE).
              "a_key": "A String",
            },
            "consumerId": "A String", # Identity of the consumer who is using the service.
                # This field should be filled in for the operations initiated by a
                # consumer, but not for service-initiated operations that are
                # not related to a specific consumer.
                #
                # This can be in one of the following formats:
                #   project:,
                #   project_number:,
                #   api_key:.
            "logEntries": [ # Represents information to be logged.
              { # An individual log entry.
                "name": "A String", # Required. The log to which this log entry belongs. Examples: `"syslog"`,
                    # `"book_log"`.
                "textPayload": "A String", # The log entry payload, represented as a Unicode string (UTF-8).
                "timestamp": "A String", # The time the event described by the log entry occurred. If
                    # omitted, defaults to operation start time.
                "labels": { # A set of user-defined (key, value) data that provides additional
                    # information about the log entry.
                  "a_key": "A String",
                },
                "structPayload": { # The log entry payload, represented as a structure that
                    # is expressed as a JSON object.
                  "a_key": "", # Properties of the object.
                },
                "insertId": "A String", # A unique ID for the log entry used for deduplication. If omitted,
                    # the implementation will generate one based on operation_id.
                "protoPayload": { # The log entry payload, represented as a protocol buffer that is
                    # expressed as a JSON object. You can only pass `protoPayload`
                    # values that belong to a set of approved types.
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
                "severity": "A String", # The severity of the log entry. The default value is
                    # `LogSeverity.DEFAULT`.
              },
            ],
            "startTime": "A String", # Required. Start time of the operation.
            "endTime": "A String", # End time of the operation.
                # Required when the operation is used in ServiceController.Report,
                # but optional when the operation is used in ServiceController.Check.
            "operationId": "A String", # Identity of the operation. This must be unique within the scope of the
                # service that generated the operation. If the service calls
                # Check() and Report() on the same operation, the two calls should carry
                # the same id.
                #
                # UUID version 4 is recommended, though not required.
                # In scenarios where an operation is computed from existing information
                # and an idempotent id is desirable for deduplication purpose, UUID version 5
                # is recommended. See RFC 4122 for details.
          },
        ],
      }

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

    Returns:
      An object of the form:

        { # Response message for the Report method.
        "serviceConfigId": "A String", # The actual config id used to process the request.
        "reportErrors": [ # Partial failures, one for each `Operation` in the request that failed
            # processing. There are three possible combinations of the RPC status:
            #
            # 1. The combination of a successful RPC status and an empty `report_errors`
            #    list indicates a complete success where all `Operations` in the
            #    request are processed successfully.
            # 2. The combination of a successful RPC status and a non-empty
            #    `report_errors` list indicates a partial success where some
            #    `Operations` in the request succeeded. Each
            #    `Operation` that failed processing has a corresponding item
            #    in this list.
            # 3. A failed RPC status indicates a complete failure where none of the
            #    `Operations` in the request succeeded.
          { # Represents the processing error of one `Operation` in the request.
            "status": { # The `Status` type defines a logical error model that is suitable for different # Details of the error when processing the `Operation`.
                # programming environments, including REST APIs and RPC APIs. It is used by
                # [gRPC](https://github.com/grpc). The error model is designed to be:
                #
                # - Simple to use and understand for most users
                # - Flexible enough to meet unexpected needs
                #
                # # Overview
                #
                # The `Status` message contains three pieces of data: error code, error message,
                # and error details. The error code should be an enum value of
                # google.rpc.Code, but it may accept additional error codes if needed.  The
                # error message should be a developer-facing English message that helps
                # developers *understand* and *resolve* the error. If a localized user-facing
                # error message is needed, put the localized message in the error details or
                # localize it in the client. The optional error details may contain arbitrary
                # information about the error. There is a predefined set of error detail types
                # in the package `google.rpc` which can be used for common error conditions.
                #
                # # Language mapping
                #
                # The `Status` message is the logical representation of the error model, but it
                # is not necessarily the actual wire format. When the `Status` message is
                # exposed in different client libraries and different wire protocols, it can be
                # mapped differently. For example, it will likely be mapped to some exceptions
                # in Java, but more likely mapped to some error codes in C.
                #
                # # Other uses
                #
                # The error model and the `Status` message can be used in a variety of
                # environments, either with or without APIs, to provide a
                # consistent developer experience across different environments.
                #
                # Example uses of this error model include:
                #
                # - Partial errors. If a service needs to return partial errors to the client,
                #     it may embed the `Status` in the normal response to indicate the partial
                #     errors.
                #
                # - Workflow errors. A typical workflow has multiple steps. Each step may
                #     have a `Status` message for error reporting purpose.
                #
                # - Batch operations. If a client uses batch request and batch response, the
                #     `Status` message should be used directly inside batch response, one for
                #     each error sub-response.
                #
                # - Asynchronous operations. If an API call embeds asynchronous operation
                #     results in its response, the status of those operations should be
                #     represented directly using the `Status` message.
                #
                # - Logging. If some API errors are stored in logs, the message `Status` could
                #     be used directly after any stripping needed for security/privacy reasons.
              "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.
              "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 will be a
                  # common set of message types for APIs to use.
                {
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
              ],
            },
            "operationId": "A String", # The Operation.operation_id value from the request.
          },
        ],
      }