RoboCommander/node_modules/google-proto-files/google/privacy/dlp/v2beta2/dlp.proto

// Copyright 2018 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

syntax = "proto3";

package google.privacy.dlp.v2beta2;

import "google/api/annotations.proto";
import "google/privacy/dlp/v2beta2/storage.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/empty.proto";
import "google/protobuf/field_mask.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
import "google/type/date.proto";
import "google/type/dayofweek.proto";
import "google/type/timeofday.proto";

option csharp_namespace = "Google.Cloud.Dlp.V2Beta2";
option go_package = "google.golang.org/genproto/googleapis/privacy/dlp/v2beta2;dlp";
option java_multiple_files = true;
option java_outer_classname = "DlpProto";
option java_package = "com.google.privacy.dlp.v2beta2";
option php_namespace = "Google\\Cloud\\Dlp\\V2beta2";


// The DLP API is a service that allows clients
// to detect the presence of Personally Identifiable Information (PII) and other
// privacy-sensitive data in user-supplied, unstructured data streams, like text
// blocks or images.
// The service also includes methods for sensitive data redaction and
// scheduling of data scans on Google Cloud Platform based data sets.
service DlpService {
  // Finds potentially sensitive info in content.
  // This method has limits on input size, processing time, and output size.
  // [How-to guide for text](/dlp/docs/inspecting-text), [How-to guide for
  // images](/dlp/docs/inspecting-images)
  rpc InspectContent(InspectContentRequest) returns (InspectContentResponse) {
    option (google.api.http) = { post: "/v2beta2/{parent=projects/*}/content:inspect" body: "*" };
  }

  // Redacts potentially sensitive info from an image.
  // This method has limits on input size, processing time, and output size.
  // [How-to guide](/dlp/docs/redacting-sensitive-data-images)
  rpc RedactImage(RedactImageRequest) returns (RedactImageResponse) {
    option (google.api.http) = { post: "/v2beta2/{parent=projects/*}/image:redact" body: "*" };
  }

  // De-identifies potentially sensitive info from a ContentItem.
  // This method has limits on input size and output size.
  // [How-to guide](/dlp/docs/deidentify-sensitive-data)
  rpc DeidentifyContent(DeidentifyContentRequest) returns (DeidentifyContentResponse) {
    option (google.api.http) = { post: "/v2beta2/{parent=projects/*}/content:deidentify" body: "*" };
  }

  // Re-identify content that has been de-identified.
  rpc ReidentifyContent(ReidentifyContentRequest) returns (ReidentifyContentResponse) {
    option (google.api.http) = { post: "/v2beta2/{parent=projects/*}/content:reidentify" body: "*" };
  }

  // Schedules a job scanning content in a Google Cloud Platform data
  // repository. [How-to guide](/dlp/docs/inspecting-storage)
  rpc InspectDataSource(InspectDataSourceRequest) returns (DlpJob) {
    option (google.api.http) = { post: "/v2beta2/{parent=projects/*}/dataSource:inspect" body: "*" };
  }

  // Schedules a job to compute risk analysis metrics over content in a Google
  // Cloud Platform repository. [How-to guide](/dlp/docs/compute-risk-analysis)
  rpc AnalyzeDataSourceRisk(AnalyzeDataSourceRiskRequest) returns (DlpJob) {
    option (google.api.http) = { post: "/v2beta2/{parent=projects/*}/dataSource:analyze" body: "*" };
  }

  // Returns sensitive information types DLP supports.
  rpc ListInfoTypes(ListInfoTypesRequest) returns (ListInfoTypesResponse) {
    option (google.api.http) = { get: "/v2beta2/infoTypes" };
  }

  // Creates an inspect template for re-using frequently used configuration
  // for inspecting content, images, and storage.
  rpc CreateInspectTemplate(CreateInspectTemplateRequest)
      returns (InspectTemplate) {
    option (google.api.http) = {
      post: "/v2beta2/{parent=organizations/*}/inspectTemplates"
      body: "*"
      additional_bindings {
        post: "/v2beta2/{parent=projects/*}/inspectTemplates"
        body: "*"
      }
    };
  }

  // Updates the inspect template.
  rpc UpdateInspectTemplate(UpdateInspectTemplateRequest)
      returns (InspectTemplate) {
    option (google.api.http) = {
      patch: "/v2beta2/{name=organizations/*/inspectTemplates/*}"
      body: "*"
      additional_bindings:
          { patch: "/v2beta2/{name=projects/*/inspectTemplates/*}" body: "*" }
    };
  }

  // Gets an inspect template.
  rpc GetInspectTemplate(GetInspectTemplateRequest) returns (InspectTemplate) {
    option (google.api.http) = {
      get: "/v2beta2/{name=organizations/*/inspectTemplates/*}"
      additional_bindings {
        get: "/v2beta2/{name=projects/*/inspectTemplates/*}"
      }
    };
  }

  // Lists inspect templates.
  rpc ListInspectTemplates(ListInspectTemplatesRequest)
      returns (ListInspectTemplatesResponse) {
    option (google.api.http) = {
      get: "/v2beta2/{parent=organizations/*}/inspectTemplates"
      additional_bindings {
        get: "/v2beta2/{parent=projects/*}/inspectTemplates"
      }
    };
  }

  // Deletes inspect templates.
  rpc DeleteInspectTemplate(DeleteInspectTemplateRequest)
      returns (google.protobuf.Empty) {
    option (google.api.http) = {
      delete: "/v2beta2/{name=organizations/*/inspectTemplates/*}"
      additional_bindings {
        delete: "/v2beta2/{name=projects/*/inspectTemplates/*}"
      }
    };
  }

  // Creates an Deidentify template for re-using frequently used configuration
  // for Deidentifying content, images, and storage.
  rpc CreateDeidentifyTemplate(CreateDeidentifyTemplateRequest)
      returns (DeidentifyTemplate) {
    option (google.api.http) = {
      post: "/v2beta2/{parent=organizations/*}/deidentifyTemplates"
      body: "*"
      additional_bindings {
        post: "/v2beta2/{parent=projects/*}/deidentifyTemplates"
        body: "*"
      }
    };
  }

  // Updates the inspect template.
  rpc UpdateDeidentifyTemplate(UpdateDeidentifyTemplateRequest)
      returns (DeidentifyTemplate) {
    option (google.api.http) = {
      patch: "/v2beta2/{name=organizations/*/deidentifyTemplates/*}"
      body: "*"
      additional_bindings: {
        patch: "/v2beta2/{name=projects/*/deidentifyTemplates/*}"
        body: "*"
      }
    };
  }

  // Gets an inspect template.
  rpc GetDeidentifyTemplate(GetDeidentifyTemplateRequest)
      returns (DeidentifyTemplate) {
    option (google.api.http) = {
      get: "/v2beta2/{name=organizations/*/deidentifyTemplates/*}"
      additional_bindings {
        get: "/v2beta2/{name=projects/*/deidentifyTemplates/*}"
      }
    };
  }

  // Lists inspect templates.
  rpc ListDeidentifyTemplates(ListDeidentifyTemplatesRequest)
      returns (ListDeidentifyTemplatesResponse) {
    option (google.api.http) = {
      get: "/v2beta2/{parent=organizations/*}/deidentifyTemplates"
      additional_bindings {
        get: "/v2beta2/{parent=projects/*}/deidentifyTemplates"
      }
    };
  }

  // Deletes inspect templates.
  rpc DeleteDeidentifyTemplate(DeleteDeidentifyTemplateRequest)
      returns (google.protobuf.Empty) {
    option (google.api.http) = {
      delete: "/v2beta2/{name=organizations/*/deidentifyTemplates/*}"
      additional_bindings {
        delete: "/v2beta2/{name=projects/*/deidentifyTemplates/*}"
      }
    };
  }

  // Lists DlpJobs that match the specified filter in the request.
  rpc ListDlpJobs(ListDlpJobsRequest) returns (ListDlpJobsResponse) {
    option (google.api.http) = { get: "/v2beta2/{parent=projects/*}/dlpJobs" };
  }

  // Gets the latest state of a long-running DlpJob.
  rpc GetDlpJob(GetDlpJobRequest) returns (DlpJob) {
    option (google.api.http) = { get: "/v2beta2/{name=projects/*/dlpJobs/*}" };
  }

  // Deletes a long-running DlpJob. This method indicates that the client is
  // no longer interested in the DlpJob result. The job will be cancelled if
  // possible.
  rpc DeleteDlpJob(DeleteDlpJobRequest) returns (google.protobuf.Empty) {
    option (google.api.http) = { delete: "/v2beta2/{name=projects/*/dlpJobs/*}" };
  }

  // Starts asynchronous cancellation on a long-running DlpJob.  The server
  // makes a best effort to cancel the DlpJob, but success is not
  // guaranteed.
  rpc CancelDlpJob(CancelDlpJobRequest) returns (google.protobuf.Empty) {
    option (google.api.http) = { post: "/v2beta2/{name=projects/*/dlpJobs/*}:cancel" body: "*" };
  }
}

// Configuration description of the scanning process.
// When used with redactContent only info_types and min_likelihood are currently
// used.
message InspectConfig {
  message FindingLimits {
    // Max findings configuration per infoType, per content item or long
    // running DlpJob.
    message InfoTypeLimit {
      // Type of information the findings limit applies to. Only one limit per
      // info_type should be provided. If InfoTypeLimit does not have an
      // info_type, the DLP API applies the limit against all info_types that
      // are found but not specified in another InfoTypeLimit.
      InfoType info_type = 1;

      // Max findings limit for the given infoType.
      int32 max_findings = 2;
    }

    // Max number of findings that will be returned for each item scanned.
    int32 max_findings_per_item = 1;

    // Max total number of findings that will be returned per request/job.
    int32 max_findings_per_request = 2;

    // Configuration of findings limit given for specified infoTypes.
    repeated InfoTypeLimit max_findings_per_info_type = 3;
  }

  // Restricts what info_types to look for. The values must correspond to
  // InfoType values returned by ListInfoTypes or found in documentation.
  // Empty info_types runs all enabled detectors.
  repeated InfoType info_types = 1;

  // Only returns findings equal or above this threshold. The default is
  // POSSIBLE.
  Likelihood min_likelihood = 2;

  FindingLimits limits = 3;

  // When true, a contextual quote from the data that triggered a finding is
  // included in the response; see Finding.quote.
  bool include_quote = 4;

  // When true, excludes type information of the findings.
  bool exclude_info_types = 5;

  // Custom infoTypes provided by the user.
  repeated CustomInfoType custom_info_types = 6;
}

// Container structure for the content to inspect.
message ContentItem {
  // Type of the content, as defined in Content-Type HTTP header.
  // Supported types are: all "text" types, octet streams, PNG images,
  // JPEG images.
  string type = 1;

  // Data of the item either in the byte array or UTF-8 string form.
  oneof data_item {
    // Content data to inspect or redact.
    bytes data = 2;

    // String data to inspect or redact.
    string value = 3;

    // Structured content for inspection.
    Table table = 4;
  }
}

// Structured content to inspect. Up to 50,000 `Value`s per request allowed.
message Table {
  message Row {
    repeated Value values = 1;
  }

  repeated FieldId headers = 1;

  repeated Row rows = 2;
}

// All the findings for a single scanned item.
message InspectResult {
  // List of findings for an item.
  repeated Finding findings = 1;

  // If true, then this item might have more findings than were returned,
  // and the findings returned are an arbitrary subset of all findings.
  // The findings list might be truncated because the input items were too
  // large, or because the server reached the maximum amount of resources
  // allowed for a single API call. For best results, divide the input into
  // smaller batches.
  bool findings_truncated = 2;
}

// Represents a piece of potentially sensitive content.
message Finding {
  // The content that was found. Even if the content is not textual, it
  // may be converted to a textual representation here.
  // Provided if requested by the `InspectConfig` and the finding is
  // less than or equal to 4096 bytes long. If the finding exceeds 4096 bytes
  // in length, the quote may be omitted.
  string quote = 1;

  // The type of content that might have been found.
  // Provided if requested by the `InspectConfig`.
  InfoType info_type = 2;

  // Estimate of how likely it is that the `info_type` is correct.
  Likelihood likelihood = 3;

  // Where the content was found.
  Location location = 4;

  // Timestamp when finding was detected.
  google.protobuf.Timestamp create_time = 6;
}

// Specifies the location of the finding.
message Location {
  // Zero-based byte offsets delimiting the finding.
  // These are relative to the finding's containing element.
  // Note that when the content is not textual, this references
  // the UTF-8 encoded textual representation of the content.
  // Omitted if content is an image.
  Range byte_range = 1;

  // Unicode character offsets delimiting the finding.
  // These are relative to the finding's containing element.
  // Provided when the content is text.
  Range codepoint_range = 2;

  // The area within the image that contained the finding.
  // Provided when the content is an image.
  repeated ImageLocation image_boxes = 3;

  // The pointer to the record in storage that contained the field the
  // finding was found in.
  // Provided when the finding's containing element is a property
  // of a storage object.
  RecordKey record_key = 4;

  // The pointer to the property or cell that contained the finding.
  // Provided when the finding's containing element is a cell in a table
  // or a property of storage object.
  FieldId field_id = 5;

  // The pointer to the row of the table that contained the finding.
  // Provided when the finding's containing element is a cell of a table.
  TableLocation table_location = 6;
}

// Location of a finding within a table.
message TableLocation {
  // The zero-based index of the row where the finding is located.
  int64 row_index = 1;
}

// Generic half-open interval [start, end)
message Range {
  // Index of the first character of the range (inclusive).
  int64 start = 1;

  // Index of the last character of the range (exclusive).
  int64 end = 2;
}

// Bounding box encompassing detected text within an image.
message ImageLocation {
  // Top coordinate of the bounding box. (0,0) is upper left.
  int32 top = 1;

  // Left coordinate of the bounding box. (0,0) is upper left.
  int32 left = 2;

  // Width of the bounding box in pixels.
  int32 width = 3;

  // Height of the bounding box in pixels.
  int32 height = 4;
}

// Request to search for potentially sensitive info in a list of items
// and replace it with a default or provided content.
message RedactImageRequest {
  // Configuration for determining how redaction of images should occur.
  message ImageRedactionConfig {
    // Type of information to redact from images.
    oneof target {
      // Only one per info_type should be provided per request. If not
      // specified, and redact_all_text is false, the DLP API will redact all
      // text that it matches against all info_types that are found, but not
      // specified in another ImageRedactionConfig.
      InfoType info_type = 1;

      // If true, all text found in the image, regardless whether it matches an
      // info_type, is redacted.
      bool redact_all_text = 2;
    }

    // The color to use when redacting content from an image. If not specified,
    // the default is black.
    Color redaction_color = 3;
  }

  // The parent resource name, for example projects/my-project-id.
  string parent = 1;

  // Configuration for the inspector.
  InspectConfig inspect_config = 2;

  // Type of the content, as defined in Content-Type HTTP header.
  // Supported types are: PNG, JPEG, SVG, & BMP.
  string image_type = 3;

  // The bytes of the image to redact.
  bytes image_data = 4;

  // The configuration for specifying what content to redact from images.
  repeated ImageRedactionConfig image_redaction_configs = 5;
}

// Represents a color in the RGB color space.
message Color {
  // The amount of red in the color as a value in the interval [0, 1].
  float red = 1;

  // The amount of green in the color as a value in the interval [0, 1].
  float green = 2;

  // The amount of blue in the color as a value in the interval [0, 1].
  float blue = 3;
}

// Results of redacting an image.
message RedactImageResponse {
  // The redacted image. The type will be the same as the original image.
  bytes redacted_image = 1;

  // If an image was being inspected and the InspectConfig's include_quote was
  // set to true, then this field will include all text, if any, that was found
  // in the image.
  string extracted_text = 2;
}

// Request to de-identify a list of items.
message DeidentifyContentRequest {
  // The parent resource name, for example projects/my-project-id.
  string parent = 1;

  // Configuration for the de-identification of the content item.
  // Items specified here will override the template referenced by the
  // deidentify_template_name argument.
  DeidentifyConfig deidentify_config = 2;

  // Configuration for the inspector.
  // Items specified here will override the template referenced by the
  // inspect_template_name argument.
  InspectConfig inspect_config = 3;

  // The item to de-identify. Will be treated as text.
  ContentItem item = 4;

  // Optional template to use. Any configuration directly specified in
  // inspect_config will override those set in the template. Singular fields
  // that are set in this request will replace their corresponding fields in the
  // template. Repeated fields are appended. Singular sub-messages and groups
  // are recursively merged.
  string inspect_template_name = 5;

  // Optional template to use. Any configuration directly specified in
  // deidentify_config will override those set in the template. Singular fields
  // that are set in this request will replace their corresponding fields in the
  // template. Repeated fields are appended. Singular sub-messages and groups
  // are recursively merged.
  string deidentify_template_name = 6;
}

// Results of de-identifying a ContentItem.
message DeidentifyContentResponse {
  // The de-identified item.
  ContentItem item = 1;

  // An overview of the changes that were made on the `item`.
  TransformationOverview overview = 2;
}

// Request to re-identify an item.
message ReidentifyContentRequest {
  // The parent resource name.
  string parent = 1;

  // Configuration for the re-identification of the content item.
  // This field shares the same proto message type that is used for
  // de-identification, however its usage here is for the reversal of the
  // previous de-identification. Re-identification is performed by examining
  // the transformations used to de-identify the items and executing the
  // reverse. This requires that only reversible transformations
  // be provided here. The reversible transformations are:
  //
  //  - `CryptoReplaceFfxFpeConfig`
  DeidentifyConfig reidentify_config = 2;

  // Configuration for the inspector.
  InspectConfig inspect_config = 3;

  // The item to re-identify. Will be treated as text.
  ContentItem item = 4;

  // Optional template to use. Any configuration directly specified in
  // `inspect_config` will override those set in the template. Singular fields
  // that are set in this request will replace their corresponding fields in the
  // template. Repeated fields are appended. Singular sub-messages and groups
  // are recursively merged.
  string inspect_template_name = 5;

  // Optional template to use. References an instance of `DeidentifyTemplate`.
  // Any configuration directly specified in `reidentify_config` or
  // `inspect_config` will override those set in the template. Singular fields
  // that are set in this request will replace their corresponding fields in the
  // template. Repeated fields are appended. Singular sub-messages and groups
  // are recursively merged.
  string reidentify_template_name = 6;
}

// Results of re-identifying a item.
message ReidentifyContentResponse {
  // The re-identified item.
  ContentItem item = 1;

  // An overview of the changes that were made to the `item`.
  TransformationOverview overview = 2;
}

// Request to search for potentially sensitive info in a ContentItem.
message InspectContentRequest {
  // The parent resource name, for example projects/my-project-id.
  string parent = 1;

  // Configuration for the inspector. What specified here will override
  // the template referenced by the inspect_template_name argument.
  InspectConfig inspect_config = 2;

  // The item to inspect.
  ContentItem item = 3;

  // Optional template to use. Any configuration directly specified in
  // inspect_config will override those set in the template. Singular fields
  // that are set in this request will replace their corresponding fields in the
  // template. Repeated fields are appended. Singular sub-messages and groups
  // are recursively merged.
  string inspect_template_name = 4;
}

// Results of inspecting an item.
message InspectContentResponse {
  // The findings.
  InspectResult result = 1;
}

// Request for scheduling a scan of a data subset from a Google Platform data
// repository.
message InspectDataSourceRequest {
  // The parent resource name, for example projects/my-project-id.
  string parent = 1;

  // A configuration for the job.
  InspectJobConfig job_config = 2;
}

// Cloud repository for storing output.
message OutputStorageConfig {
  oneof type {
    // Store findings in a new table in an existing dataset. If table_id is not
    // set a new one will be generated for you with the following format:
    // dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific timezone will be used for
    // generating the date details.
    BigQueryTable table = 1;
  }
}

// Statistics regarding a specific InfoType.
message InfoTypeStatistics {
  // The type of finding this stat is for.
  InfoType info_type = 1;

  // Number of findings for this infoType.
  int64 count = 2;
}

// The results of an inspect DataSource job.
message InspectDataSourceDetails {
  message RequestedOptions {
    // If run with an inspect template, a snapshot of it's state at the time of
    // this run.
    InspectTemplate snapshot_inspect_template = 1;

    InspectJobConfig job_config = 3;
  }

  message Result {
    // Total size in bytes that were processed.
    int64 processed_bytes = 1;

    // Estimate of the number of bytes to process.
    int64 total_estimated_bytes = 2;

    // Statistics of how many instances of each info type were found during
    // inspect job.
    repeated InfoTypeStatistics info_type_stats = 3;
  }

  // The configuration used for this job.
  RequestedOptions requested_options = 2;

  // A summary of the outcome of this inspect job.
  Result result = 3;
}

// InfoType description.
message InfoTypeDescription {
  // Internal name of the infoType.
  string name = 1;

  // Human readable form of the infoType name.
  string display_name = 2;

  // Which parts of the API supports this InfoType.
  repeated InfoTypeSupportedBy supported_by = 3;
}

// Request for the list of infoTypes.
message ListInfoTypesRequest {
  // Optional BCP-47 language code for localized infoType friendly
  // names. If omitted, or if localized strings are not available,
  // en-US strings will be returned.
  string language_code = 1;

  // Optional filter to only return infoTypes supported by certain parts of the
  // API. Defaults to supported_by=INSPECT.
  string filter = 2;
}

// Response to the ListInfoTypes request.
message ListInfoTypesResponse {
  // Set of sensitive infoTypes.
  repeated InfoTypeDescription info_types = 1;
}

// Request for creating a risk analysis DlpJob.
message AnalyzeDataSourceRiskRequest {
  // The parent resource name, for example projects/my-project-id.
  string parent = 1;

  // Configuration for this risk analysis job.
  RiskAnalysisJobConfig job_config = 2;
}

// Configuration for a risk analysis job.
message RiskAnalysisJobConfig {
  // Privacy metric to compute.
  PrivacyMetric privacy_metric = 1;

  // Input dataset to compute metrics over.
  BigQueryTable source_table = 2;
}

// Privacy metric to compute for reidentification risk analysis.
message PrivacyMetric {
  // Compute numerical stats over an individual column, including
  // min, max, and quantiles.
  message NumericalStatsConfig {
    // Field to compute numerical stats on. Supported types are
    // integer, float, date, datetime, timestamp, time.
    FieldId field = 1;
  }

  // Compute numerical stats over an individual column, including
  // number of distinct values and value count distribution.
  message CategoricalStatsConfig {
    // Field to compute categorical stats on. All column types are
    // supported except for arrays and structs. However, it may be more
    // informative to use NumericalStats when the field type is supported,
    // depending on the data.
    FieldId field = 1;
  }

  // k-anonymity metric, used for analysis of reidentification risk.
  message KAnonymityConfig {
    // Set of fields to compute k-anonymity over. When multiple fields are
    // specified, they are considered a single composite key. Structs and
    // repeated data types are not supported; however, nested fields are
    // supported so long as they are not structs themselves or nested within
    // a repeated field.
    repeated FieldId quasi_ids = 1;

    // Optional message indicating that each distinct entity_id should not
    // contribute to the k-anonymity count more than once per equivalence class.
    // If an entity_id appears on several rows with different quasi-identifier
    // tuples, it will contribute to each count exactly once.
    //
    // This can lead to unexpected results. Consider a table where ID 1 is
    // associated to quasi-identifier "foo", ID 2 to "bar", and ID 3 to *both*
    // quasi-identifiers "foo" and "bar" (on separate rows), and where this ID
    // is used as entity_id. Then, the anonymity value associated to ID 3 will
    // be 2, even if it is the only ID to be associated to both values "foo" and
    // "bar".
    EntityId entity_id = 2;
  }

  // l-diversity metric, used for analysis of reidentification risk.
  message LDiversityConfig {
    // Set of quasi-identifiers indicating how equivalence classes are
    // defined for the l-diversity computation. When multiple fields are
    // specified, they are considered a single composite key.
    repeated FieldId quasi_ids = 1;

    // Sensitive field for computing the l-value.
    FieldId sensitive_attribute = 2;
  }

  // Reidentifiability metric. This corresponds to a risk model similar to what
  // is called "journalist risk" in the literature, except the attack dataset is
  // statistically modeled instead of being perfectly known. This can be done
  // using publicly available data (like the US Census), or using a custom
  // statistical model (indicated as one or several BigQuery tables), or by
  // extrapolating from the distribution of values in the input dataset.
  message KMapEstimationConfig {
    // A column with a semantic tag attached.
    message TaggedField {
      // Identifies the column. [required]
      FieldId field = 1;

      // Semantic tag that identifies what a column contains, to determine which
      // statistical model to use to estimate the reidentifiability of each
      // value. [required]
      oneof tag {
        // A column can be tagged with a InfoType to use the relevant public
        // dataset as a statistical model of population, if available. We
        // currently support US ZIP codes, region codes, ages and genders.
        // To programmatically obtain the list of supported InfoTypes, use
        // ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
        InfoType info_type = 2;

        // A column can be tagged with a custom tag. In this case, the user must
        // indicate an auxiliary table that contains statistical information on
        // the possible values of this column (below).
        string custom_tag = 3;

        // If no semantic tag is indicated, we infer the statistical model from
        // the distribution of values in the input data
        google.protobuf.Empty inferred = 4;
      }
    }

    // An auxiliary table contains statistical information on the relative
    // frequency of different quasi-identifiers values. It has one or several
    // quasi-identifiers columns, and one column that indicates the relative
    // frequency of each quasi-identifier tuple.
    // If a tuple is present in the data but not in the auxiliary table, the
    // corresponding relative frequency is assumed to be zero (and thus, the
    // tuple is highly reidentifiable).
    message AuxiliaryTable {
      // A quasi-identifier column has a custom_tag, used to know which column
      // in the data corresponds to which column in the statistical model.
      message QuasiIdField {
        FieldId field = 1;

        string custom_tag = 2;
      }

      // Auxiliary table location. [required]
      BigQueryTable table = 3;

      // Quasi-identifier columns. [required]
      repeated QuasiIdField quasi_ids = 1;

      // The relative frequency column must contain a floating-point number
      // between 0 and 1 (inclusive). Null values are assumed to be zero.
      // [required]
      FieldId relative_frequency = 2;
    }

    // Fields considered to be quasi-identifiers. No two columns can have the
    // same tag. [required]
    repeated TaggedField quasi_ids = 1;

    // ISO 3166-1 alpha-2 region code to use in the statistical modeling.
    // Required if no column is tagged with a region-specific InfoType (like
    // US_ZIP_5) or a region code.
    string region_code = 2;

    // Several auxiliary tables can be used in the analysis. Each custom_tag
    // used to tag a quasi-identifiers column must appear in exactly one column
    // of one auxiliary table.
    repeated AuxiliaryTable auxiliary_tables = 3;
  }

  oneof type {
    NumericalStatsConfig numerical_stats_config = 1;

    CategoricalStatsConfig categorical_stats_config = 2;

    KAnonymityConfig k_anonymity_config = 3;

    LDiversityConfig l_diversity_config = 4;

    KMapEstimationConfig k_map_estimation_config = 5;
  }
}

// Result of a risk analysis operation request.
message AnalyzeDataSourceRiskDetails {
  // Result of the numerical stats computation.
  message NumericalStatsResult {
    // Minimum value appearing in the column.
    Value min_value = 1;

    // Maximum value appearing in the column.
    Value max_value = 2;

    // List of 99 values that partition the set of field values into 100 equal
    // sized buckets.
    repeated Value quantile_values = 4;
  }

  // Result of the categorical stats computation.
  message CategoricalStatsResult {
    message CategoricalStatsHistogramBucket {
      // Lower bound on the value frequency of the values in this bucket.
      int64 value_frequency_lower_bound = 1;

      // Upper bound on the value frequency of the values in this bucket.
      int64 value_frequency_upper_bound = 2;

      // Total number of values in this bucket.
      int64 bucket_size = 3;

      // Sample of value frequencies in this bucket. The total number of
      // values returned per bucket is capped at 20.
      repeated ValueFrequency bucket_values = 4;
    }

    // Histogram of value frequencies in the column.
    repeated CategoricalStatsHistogramBucket value_frequency_histogram_buckets = 5;
  }

  // Result of the k-anonymity computation.
  message KAnonymityResult {
    // The set of columns' values that share the same ldiversity value
    message KAnonymityEquivalenceClass {
      // Set of values defining the equivalence class. One value per
      // quasi-identifier column in the original KAnonymity metric message.
      // The order is always the same as the original request.
      repeated Value quasi_ids_values = 1;

      // Size of the equivalence class, for example number of rows with the
      // above set of values.
      int64 equivalence_class_size = 2;
    }

    message KAnonymityHistogramBucket {
      // Lower bound on the size of the equivalence classes in this bucket.
      int64 equivalence_class_size_lower_bound = 1;

      // Upper bound on the size of the equivalence classes in this bucket.
      int64 equivalence_class_size_upper_bound = 2;

      // Total number of equivalence classes in this bucket.
      int64 bucket_size = 3;

      // Sample of equivalence classes in this bucket. The total number of
      // classes returned per bucket is capped at 20.
      repeated KAnonymityEquivalenceClass bucket_values = 4;
    }

    // Histogram of k-anonymity equivalence classes.
    repeated KAnonymityHistogramBucket equivalence_class_histogram_buckets = 5;
  }

  // Result of the l-diversity computation.
  message LDiversityResult {
    // The set of columns' values that share the same ldiversity value.
    message LDiversityEquivalenceClass {
      // Quasi-identifier values defining the k-anonymity equivalence
      // class. The order is always the same as the original request.
      repeated Value quasi_ids_values = 1;

      // Size of the k-anonymity equivalence class.
      int64 equivalence_class_size = 2;

      // Number of distinct sensitive values in this equivalence class.
      int64 num_distinct_sensitive_values = 3;

      // Estimated frequencies of top sensitive values.
      repeated ValueFrequency top_sensitive_values = 4;
    }

    message LDiversityHistogramBucket {
      // Lower bound on the sensitive value frequencies of the equivalence
      // classes in this bucket.
      int64 sensitive_value_frequency_lower_bound = 1;

      // Upper bound on the sensitive value frequencies of the equivalence
      // classes in this bucket.
      int64 sensitive_value_frequency_upper_bound = 2;

      // Total number of equivalence classes in this bucket.
      int64 bucket_size = 3;

      // Sample of equivalence classes in this bucket. The total number of
      // classes returned per bucket is capped at 20.
      repeated LDiversityEquivalenceClass bucket_values = 4;
    }

    // Histogram of l-diversity equivalence class sensitive value frequencies.
    repeated LDiversityHistogramBucket sensitive_value_frequency_histogram_buckets = 5;
  }

  // Result of the reidentifiability analysis. Note that these results are an
  // estimation, not exact values.
  message KMapEstimationResult {
    // A tuple of values for the quasi-identifier columns.
    message KMapEstimationQuasiIdValues {
      // The quasi-identifier values.
      repeated Value quasi_ids_values = 1;

      // The estimated anonymity for these quasi-identifier values.
      int64 estimated_anonymity = 2;
    }

    // A KMapEstimationHistogramBucket message with the following values:
    //   min_anonymity: 3
    //   max_anonymity: 5
    //   frequency: 42
    // means that there are 42 records whose quasi-identifier values correspond
    // to 3, 4 or 5 people in the overlying population. An important particular
    // case is when min_anonymity = max_anonymity = 1: the frequency field then
    // corresponds to the number of uniquely identifiable records.
    message KMapEstimationHistogramBucket {
      // Always positive.
      int64 min_anonymity = 1;

      // Always greater than or equal to min_anonymity.
      int64 max_anonymity = 2;

      // Number of records within these anonymity bounds.
      int64 bucket_size = 5;

      // Sample of quasi-identifier tuple values in this bucket. The total
      // number of classes returned per bucket is capped at 20.
      repeated KMapEstimationQuasiIdValues bucket_values = 6;
    }

    // The intervals [min_anonymity, max_anonymity] do not overlap. If a value
    // doesn't correspond to any such interval, the associated frequency is
    // zero. For example, the following records:
    //   {min_anonymity: 1, max_anonymity: 1, frequency: 17}
    //   {min_anonymity: 2, max_anonymity: 3, frequency: 42}
    //   {min_anonymity: 5, max_anonymity: 10, frequency: 99}
    // mean that there are no record with an estimated anonymity of 4, 5, or
    // larger than 10.
    repeated KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
  }

  // Privacy metric to compute.
  PrivacyMetric requested_privacy_metric = 1;

  // Input dataset to compute metrics over.
  BigQueryTable requested_source_table = 2;

  // Values associated with this metric.
  oneof result {
    NumericalStatsResult numerical_stats_result = 3;

    CategoricalStatsResult categorical_stats_result = 4;

    KAnonymityResult k_anonymity_result = 5;

    LDiversityResult l_diversity_result = 6;

    KMapEstimationResult k_map_estimation_result = 7;
  }
}

// A value of a field, including its frequency.
message ValueFrequency {
  // A value contained in the field in question.
  Value value = 1;

  // How many times the value is contained in the field.
  int64 count = 2;
}

// Set of primitive values supported by the system.
// Note that for the purposes of inspection or transformation, the number
// of bytes considered to comprise a 'Value' is based on its representation
// as a UTF-8 encoded string. For example, if 'integer_value' is set to
// 123456789, the number of bytes would be counted as 9, even though an
// int64 only holds up to 8 bytes of data.
message Value {
  oneof type {
    int64 integer_value = 1;

    double float_value = 2;

    string string_value = 3;

    bool boolean_value = 4;

    google.protobuf.Timestamp timestamp_value = 5;

    google.type.TimeOfDay time_value = 6;

    google.type.Date date_value = 7;
  }
}

// The configuration that controls how the data will change.
message DeidentifyConfig {
  oneof transformation {
    // Treat the dataset as free-form text and apply the same free text
    // transformation everywhere.
    InfoTypeTransformations info_type_transformations = 1;

    // Treat the dataset as structured. Transformations can be applied to
    // specific locations within structured datasets, such as transforming
    // a column within a table.
    RecordTransformations record_transformations = 2;
  }
}

// A rule for transforming a value.
message PrimitiveTransformation {
  oneof transformation {
    ReplaceValueConfig replace_config = 1;

    RedactConfig redact_config = 2;

    CharacterMaskConfig character_mask_config = 3;

    CryptoReplaceFfxFpeConfig crypto_replace_ffx_fpe_config = 4;

    FixedSizeBucketingConfig fixed_size_bucketing_config = 5;

    BucketingConfig bucketing_config = 6;

    ReplaceWithInfoTypeConfig replace_with_info_type_config = 7;

    TimePartConfig time_part_config = 8;

    CryptoHashConfig crypto_hash_config = 9;
  }
}

// For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a
// portion of the value.
message TimePartConfig {
  enum TimePart {
    TIME_PART_UNSPECIFIED = 0;

    // [0-9999]
    YEAR = 1;

    // [1-12]
    MONTH = 2;

    // [1-31]
    DAY_OF_MONTH = 3;

    // [1-7]
    DAY_OF_WEEK = 4;

    // [1-52]
    WEEK_OF_YEAR = 5;

    // [0-23]
    HOUR_OF_DAY = 6;
  }

  TimePart part_to_extract = 1;
}

// Pseudonymization method that generates surrogates via cryptographic hashing.
// Uses SHA-256.
// The key size must be either 32 or 64 bytes.
// Outputs a 32 byte digest as an uppercase hex string
// (for example, 41D1567F7F99F1DC2A5FAB886DEE5BEE).
// Currently, only string and integer values can be hashed.
message CryptoHashConfig {
  // The key used by the hash function.
  CryptoKey crypto_key = 1;
}

// Replace each input value with a given `Value`.
message ReplaceValueConfig {
  // Value to replace it with.
  Value new_value = 1;
}

// Replace each matching finding with the name of the info_type.
message ReplaceWithInfoTypeConfig {

}

// Redact a given value. For example, if used with an `InfoTypeTransformation`
// transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the
// output would be 'My phone number is '.
message RedactConfig {

}

// Characters to skip when doing deidentification of a value. These will be left
// alone and skipped.
message CharsToIgnore {
  enum CommonCharsToIgnore {
    COMMON_CHARS_TO_IGNORE_UNSPECIFIED = 0;

    // 0-9
    NUMERIC = 1;

    // A-Z
    ALPHA_UPPER_CASE = 2;

    // a-z
    ALPHA_LOWER_CASE = 3;

    // US Punctuation, one of !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~
    PUNCTUATION = 4;

    // Whitespace character, one of [ \t\n\x0B\f\r]
    WHITESPACE = 5;
  }

  oneof characters {
    string characters_to_skip = 1;

    CommonCharsToIgnore common_characters_to_ignore = 2;
  }
}

// Partially mask a string by replacing a given number of characters with a
// fixed character. Masking can start from the beginning or end of the string.
// This can be used on data of any type (numbers, longs, and so on) and when
// de-identifying structured data we'll attempt to preserve the original data's
// type. (This allows you to take a long like 123 and modify it to a string like
// **3.
message CharacterMaskConfig {
  // Character to mask the sensitive values&mdash;for example, "*" for an
  // alphabetic string such as name, or "0" for a numeric string such as ZIP
  // code or credit card number. String must have length 1. If not supplied, we
  // will default to "*" for strings, 0 for digits.
  string masking_character = 1;

  // Number of characters to mask. If not set, all matching chars will be
  // masked. Skipped characters do not count towards this tally.
  int32 number_to_mask = 2;

  // Mask characters in reverse order. For example, if `masking_character` is
  // '0', number_to_mask is 14, and `reverse_order` is false, then
  // 1234-5678-9012-3456 -> 00000000000000-3456
  // If `masking_character` is '*', `number_to_mask` is 3, and `reverse_order`
  // is true, then 12345 -> 12***
  bool reverse_order = 3;

  // When masking a string, items in this list will be skipped when replacing.
  // For example, if your string is 555-555-5555 and you ask us to skip `-` and
  // mask 5 chars with * we would produce ***-*55-5555.
  repeated CharsToIgnore characters_to_ignore = 4;
}

// Buckets values based on fixed size ranges. The
// Bucketing transformation can provide all of this functionality,
// but requires more configuration. This message is provided as a convenience to
// the user for simple bucketing strategies.
//
// The transformed value will be a hyphenated string of
// <lower_bound>-<upper_bound>, i.e if lower_bound = 10 and upper_bound = 20
// all values that are within this bucket will be replaced with "10-20".
//
// This can be used on data of type: double, long.
//
// If the bound Value type differs from the type of data
// being transformed, we will first attempt converting the type of the data to
// be transformed to match the type of the bound before comparing.
message FixedSizeBucketingConfig {
  // Lower bound value of buckets. All values less than `lower_bound` are
  // grouped together into a single bucket; for example if `lower_bound` = 10,
  // then all values less than 10 are replaced with the value “-10”. [Required].
  Value lower_bound = 1;

  // Upper bound value of buckets. All values greater than upper_bound are
  // grouped together into a single bucket; for example if `upper_bound` = 89,
  // then all values greater than 89 are replaced with the value “89+”.
  // [Required].
  Value upper_bound = 2;

  // Size of each bucket (except for minimum and maximum buckets). So if
  // `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the
  // following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60,
  // 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. [Required].
  double bucket_size = 3;
}

// Generalization function that buckets values based on ranges. The ranges and
// replacement values are dynamically provided by the user for custom behavior,
// such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH
// This can be used on
// data of type: number, long, string, timestamp.
// If the bound `Value` type differs from the type of data being transformed, we
// will first attempt converting the type of the data to be transformed to match
// the type of the bound before comparing.
message BucketingConfig {
  // Bucket is represented as a range, along with replacement values.
  message Bucket {
    // Lower bound of the range, inclusive. Type should be the same as max if
    // used.
    Value min = 1;

    // Upper bound of the range, exclusive; type must match min.
    Value max = 2;

    // Replacement value for this bucket. If not provided
    // the default behavior will be to hyphenate the min-max range.
    Value replacement_value = 3;
  }

  // Set of buckets. Ranges must be non-overlapping.
  repeated Bucket buckets = 1;
}

// Replaces an identifier with a surrogate using FPE with the FFX
// mode of operation; however when used in the `ReidentifyContent` API method,
// it serves the opposite function by reversing the surrogate back into
// the original identifier.
// The identifier must be encoded as ASCII.
// For a given crypto key and context, the same identifier will be
// replaced with the same surrogate.
// Identifiers must be at least two characters long.
// In the case that the identifier is the empty string, it will be skipped.
message CryptoReplaceFfxFpeConfig {
  // These are commonly used subsets of the alphabet that the FFX mode
  // natively supports. In the algorithm, the alphabet is selected using
  // the "radix". Therefore each corresponds to particular radix.
  enum FfxCommonNativeAlphabet {
    FFX_COMMON_NATIVE_ALPHABET_UNSPECIFIED = 0;

    // [0-9] (radix of 10)
    NUMERIC = 1;

    // [0-9A-F] (radix of 16)
    HEXADECIMAL = 2;

    // [0-9A-Z] (radix of 36)
    UPPER_CASE_ALPHA_NUMERIC = 3;

    // [0-9A-Za-z] (radix of 62)
    ALPHA_NUMERIC = 4;
  }

  // The key used by the encryption algorithm. [required]
  CryptoKey crypto_key = 1;

  // The 'tweak', a context may be used for higher security since the same
  // identifier in two different contexts won't be given the same surrogate. If
  // the context is not set, a default tweak will be used.
  //
  // If the context is set but:
  //
  // 1. there is no record present when transforming a given value or
  // 1. the field is not present when transforming a given value,
  //
  // a default tweak will be used.
  //
  // Note that case (1) is expected when an `InfoTypeTransformation` is
  // applied to both structured and non-structured `ContentItem`s.
  // Currently, the referenced field may be of value type integer or string.
  //
  // The tweak is constructed as a sequence of bytes in big endian byte order
  // such that:
  //
  // - a 64 bit integer is encoded followed by a single byte of value 1
  // - a string is encoded in UTF-8 format followed by a single byte of value
  //  å 2
  FieldId context = 2;

  oneof alphabet {
    FfxCommonNativeAlphabet common_alphabet = 4;

    // This is supported by mapping these to the alphanumeric characters
    // that the FFX mode natively supports. This happens before/after
    // encryption/decryption.
    // Each character listed must appear only once.
    // Number of characters must be in the range [2, 62].
    // This must be encoded as ASCII.
    // The order of characters does not matter.
    string custom_alphabet = 5;

    // The native way to select the alphabet. Must be in the range [2, 62].
    int32 radix = 6;
  }

  // The custom infoType to annotate the surrogate with.
  // This annotation will be applied to the surrogate by prefixing it with
  // the name of the custom infoType followed by the number of
  // characters comprising the surrogate. The following scheme defines the
  // format: info_type_name(surrogate_character_count):surrogate
  //
  // For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and
  // the surrogate is 'abc', the full replacement value
  // will be: 'MY_TOKEN_INFO_TYPE(3):abc'
  //
  // This annotation identifies the surrogate when inspecting content using the
  // custom infoType
  // [`SurrogateType`](/dlp/docs/reference/rest/v2beta2/InspectConfig#surrogatetype).
  // This facilitates reversal of the surrogate when it occurs in free text.
  //
  // In order for inspection to work properly, the name of this infoType must
  // not occur naturally anywhere in your data; otherwise, inspection may
  // find a surrogate that does not correspond to an actual identifier.
  // Therefore, choose your custom infoType name carefully after considering
  // what your data looks like. One way to select a name that has a high chance
  // of yielding reliable detection is to include one or more unicode characters
  // that are highly improbable to exist in your data.
  // For example, assuming your data is entered from a regular ASCII keyboard,
  // the symbol with the hex code point 29DD might be used like so:
  // ⧝MY_TOKEN_TYPE
  InfoType surrogate_info_type = 8;
}

// This is a data encryption key (DEK) (as opposed to
// a key encryption key (KEK) stored by KMS).
// When using KMS to wrap/unwrap DEKs, be sure to set an appropriate
// IAM policy on the KMS CryptoKey (KEK) to ensure an attacker cannot
// unwrap the data crypto key.
message CryptoKey {
  oneof source {
    TransientCryptoKey transient = 1;

    UnwrappedCryptoKey unwrapped = 2;

    KmsWrappedCryptoKey kms_wrapped = 3;
  }
}

// Use this to have a random data crypto key generated.
// It will be discarded after the request finishes.
message TransientCryptoKey {
  // Name of the key. [required]
  // This is an arbitrary string used to differentiate different keys.
  // A unique key is generated per name: two separate `TransientCryptoKey`
  // protos share the same generated key if their names are the same.
  // When the data crypto key is generated, this name is not used in any way
  // (repeating the api call will result in a different key being generated).
  string name = 1;
}

// Using raw keys is prone to security risks due to accidentally
// leaking the key. Choose another type of key if possible.
message UnwrappedCryptoKey {
  // The AES 128/192/256 bit key. [required]
  bytes key = 1;
}

// Include to use an existing data crypto key wrapped by KMS.
// Authorization requires the following IAM permissions when sending a request
// to perform a crypto transformation using a kms-wrapped crypto key:
// dlp.kms.encrypt
message KmsWrappedCryptoKey {
  // The wrapped data crypto key. [required]
  bytes wrapped_key = 1;

  // The resource name of the KMS CryptoKey to use for unwrapping. [required]
  string crypto_key_name = 2;
}

// A type of transformation that will scan unstructured text and
// apply various `PrimitiveTransformation`s to each finding, where the
// transformation is applied to only values that were identified as a specific
// info_type.
message InfoTypeTransformations {
  // A transformation to apply to text that is identified as a specific
  // info_type.
  message InfoTypeTransformation {
    // InfoTypes to apply the transformation to. Empty list will match all
    // available infoTypes for this transformation.
    repeated InfoType info_types = 1;

    // Primitive transformation to apply to the infoType. [required]
    PrimitiveTransformation primitive_transformation = 2;
  }

  // Transformation for each infoType. Cannot specify more than one
  // for a given infoType. [required]
  repeated InfoTypeTransformation transformations = 1;
}

// The transformation to apply to the field.
message FieldTransformation {
  // Input field(s) to apply the transformation to. [required]
  repeated FieldId fields = 1;

  // Only apply the transformation if the condition evaluates to true for the
  // given `RecordCondition`. The conditions are allowed to reference fields
  // that are not used in the actual transformation. [optional]
  //
  // Example Use Cases:
  //
  // - Apply a different bucket transformation to an age column if the zip code
  // column for the same record is within a specific range.
  // - Redact a field if the date of birth field is greater than 85.
  RecordCondition condition = 3;

  // Transformation to apply. [required]
  oneof transformation {
    // Apply the transformation to the entire field.
    PrimitiveTransformation primitive_transformation = 4;

    // Treat the contents of the field as free text, and selectively
    // transform content that matches an `InfoType`.
    InfoTypeTransformations info_type_transformations = 5;
  }
}

// A type of transformation that is applied over structured data such as a
// table.
message RecordTransformations {
  // Transform the record by applying various field transformations.
  repeated FieldTransformation field_transformations = 1;

  // Configuration defining which records get suppressed entirely. Records that
  // match any suppression rule are omitted from the output [optional].
  repeated RecordSuppression record_suppressions = 2;
}

// Configuration to suppress records whose suppression conditions evaluate to
// true.
message RecordSuppression {
  // A condition that when it evaluates to true will result in the record being
  // evaluated to be suppressed from the transformed content.
  RecordCondition condition = 1;
}

// A condition for determining whether a transformation should be applied to
// a field.
message RecordCondition {
  // The field type of `value` and `field` do not need to match to be
  // considered equal, but not all comparisons are possible.
  //
  // A `value` of type:
  //
  // - `string` can be compared against all other types
  // - `boolean` can only be compared against other booleans
  // - `integer` can be compared against doubles or a string if the string value
  // can be parsed as an integer.
  // - `double` can be compared against integers or a string if the string can
  // be parsed as a double.
  // - `Timestamp` can be compared against strings in RFC 3339 date string
  // format.
  // - `TimeOfDay` can be compared against timestamps and strings in the format
  // of 'HH:mm:ss'.
  //
  // If we fail to compare do to type mismatch, a warning will be given and
  // the condition will evaluate to false.
  message Condition {
    // Field within the record this condition is evaluated against. [required]
    FieldId field = 1;

    // Operator used to compare the field or infoType to the value. [required]
    RelationalOperator operator = 3;

    // Value to compare against. [Required, except for `EXISTS` tests.]
    Value value = 4;
  }

  // A collection of conditions.
  message Conditions {
    repeated Condition conditions = 1;
  }

  // An expression, consisting or an operator and conditions.
  message Expressions {
    enum LogicalOperator {
      LOGICAL_OPERATOR_UNSPECIFIED = 0;

      AND = 1;
    }

    // The operator to apply to the result of conditions. Default and currently
    // only supported value is `AND`.
    LogicalOperator logical_operator = 1;

    oneof type {
      Conditions conditions = 3;
    }
  }

  // An expression.
  Expressions expressions = 3;
}

// Overview of the modifications that occurred.
message TransformationOverview {
  // Total size in bytes that were transformed in some way.
  int64 transformed_bytes = 2;

  // Transformations applied to the dataset.
  repeated TransformationSummary transformation_summaries = 3;
}

// Summary of a single tranformation.
// Only one of 'transformation', 'field_transformation', or 'record_suppress'
// will be set.
message TransformationSummary {
  // A collection that informs the user the number of times a particular
  // `TransformationResultCode` and error details occurred.
  message SummaryResult {
    int64 count = 1;

    TransformationResultCode code = 2;

    // A place for warnings or errors to show up if a transformation didn't
    // work as expected.
    string details = 3;
  }

  // Possible outcomes of transformations.
  enum TransformationResultCode {
    TRANSFORMATION_RESULT_CODE_UNSPECIFIED = 0;

    SUCCESS = 1;

    ERROR = 2;
  }

  // Set if the transformation was limited to a specific info_type.
  InfoType info_type = 1;

  // Set if the transformation was limited to a specific FieldId.
  FieldId field = 2;

  // The specific transformation these stats apply to.
  PrimitiveTransformation transformation = 3;

  // The field transformation that was applied.
  // If multiple field transformations are requested for a single field,
  // this list will contain all of them; otherwise, only one is supplied.
  repeated FieldTransformation field_transformations = 5;

  // The specific suppression option these stats apply to.
  RecordSuppression record_suppress = 6;

  repeated SummaryResult results = 4;

  // Total size in bytes that were transformed in some way.
  int64 transformed_bytes = 7;
}

// The inspectTemplate contains a configuration (set of types of sensitive data
// to be detected) to be used anywhere you otherwise would normally specify
// InspectConfig.
message InspectTemplate {
  // The template name. Output only.
  //
  // The template will have one of the following formats:
  // `projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID` OR
  // `organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID`
  string name = 1;

  // Display name (max 256 chars).
  string display_name = 2;

  // Short description (max 256 chars).
  string description = 3;

  // The creation timestamp of a inspectTemplate, output only field.
  google.protobuf.Timestamp create_time = 4;

  // The last update timestamp of a inspectTemplate, output only field.
  google.protobuf.Timestamp update_time = 5;

  // The core content of the template. Configuration of the scanning process.
  InspectConfig inspect_config = 6;
}

// The DeidentifyTemplates contains instructions on how to deidentify content.
message DeidentifyTemplate {
  // The template name. Output only.
  //
  // The template will have one of the following formats:
  // `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR
  // `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID`
  string name = 1;

  // Display name (max 256 chars).
  string display_name = 2;

  // Short description (max 256 chars).
  string description = 3;

  // The creation timestamp of a inspectTemplate, output only field.
  google.protobuf.Timestamp create_time = 4;

  // The last update timestamp of a inspectTemplate, output only field.
  google.protobuf.Timestamp update_time = 5;

  // ///////////// // The core content of the template  // ///////////////
  DeidentifyConfig deidentify_config = 6;
}

// Request message for CreateInspectTemplate.
message CreateInspectTemplateRequest {
  // The parent resource name, for example projects/my-project-id or
  // organizations/my-org-id.
  string parent = 1;

  // The InspectTemplate to create.
  InspectTemplate inspect_template = 2;

  // The template id can contain uppercase and lowercase letters,
  // numbers, and hyphens; that is, it must match the regular
  // expression: `[a-zA-Z\\d-]+`. The maximum length is 100
  // characters. Can be empty to allow the system to generate one.
  string template_id = 3;
}

// Request message for UpdateInspectTemplate.
message UpdateInspectTemplateRequest {
  // Resource name of organization and inspectTemplate to be updated, for
  // example `organizations/433245324/inspectTemplates/432452342` or
  // projects/project-id/inspectTemplates/432452342.
  string name = 1;

  // New InspectTemplate value.
  InspectTemplate inspect_template = 2;

  // Mask to control which fields get updated.
  google.protobuf.FieldMask update_mask = 3;
}

// Request message for GetInspectTemplate.
message GetInspectTemplateRequest {
  // Resource name of the organization and inspectTemplate to be read, for
  // example `organizations/433245324/inspectTemplates/432452342` or
  // projects/project-id/inspectTemplates/432452342.
  string name = 1;
}

// Request message for ListInspectTemplates.
message ListInspectTemplatesRequest {
  // The parent resource name, for example projects/my-project-id or
  // organizations/my-org-id.
  string parent = 1;

  // Optional page token to continue retrieval. Comes from previous call
  // to `ListInspectTemplates`.
  string page_token = 2;

  // Optional size of the page, can be limited by server. If zero server returns
  // a page of max size 100.
  int32 page_size = 3;
}

// Response message for ListInspectTemplates.
message ListInspectTemplatesResponse {
  // List of inspectTemplates, up to page_size in ListInspectTemplatesRequest.
  repeated InspectTemplate inspect_templates = 1;

  // If the next page is available then the next page token to be used
  // in following ListInspectTemplates request.
  string next_page_token = 2;
}

// Request message for DeleteInspectTemplate.
message DeleteInspectTemplateRequest {
  // Resource name of the organization and inspectTemplate to be deleted, for
  // example `organizations/433245324/inspectTemplates/432452342` or
  // projects/project-id/inspectTemplates/432452342.
  string name = 1;
}

message InspectJobConfig {
  // The data to scan.
  StorageConfig storage_config = 1;

  // Where to put the findings.
  OutputStorageConfig output_config = 2;

  // How and what to scan for.
  InspectConfig inspect_config = 3;

  // If provided, will be used as the default for all values in InspectConfig.
  // `inspect_config` will be merged into the values persisted as part of the
  // template.
  string inspect_template_name = 4;
}

// Combines all of the information about a DLP job.
message DlpJob {
  enum JobState {
    JOB_STATE_UNSPECIFIED = 0;

    // The job has not yet started.
    PENDING = 1;

    // The job is currently running.
    RUNNING = 2;

    // The job is no longer running.
    DONE = 3;

    // The job was canceled before it could complete.
    CANCELED = 4;

    // The job had an error and did not complete.
    FAILED = 5;
  }

  // The server-assigned name.
  string name = 1;

  // The type of job.
  DlpJobType type = 2;

  // State of a job.
  JobState state = 3;

  oneof details {
    // Results from analyzing risk of a data source.
    AnalyzeDataSourceRiskDetails risk_details = 4;

    // Results from inspecting a data source.
    InspectDataSourceDetails inspect_details = 5;
  }

  // Time when the job was created.
  google.protobuf.Timestamp create_time = 6;

  // Time when the job started.
  google.protobuf.Timestamp start_time = 7;

  // Time when the job finished.
  google.protobuf.Timestamp end_time = 8;

  // A stream of errors encountered running the job.
  repeated google.rpc.Status error_results = 9;
}

// The request message for [DlpJobs.GetDlpJob][].
message GetDlpJobRequest {
  // The name of the DlpJob resource.
  string name = 1;
}

// The request message for listing DLP jobs.
message ListDlpJobsRequest {
  // The parent resource name, for example projects/my-project-id.
  string parent = 4;

  // Optional. Allows filtering.
  //
  // Supported syntax:
  //
  // * Filter expressions are made up of one or more restrictions.
  // * Restrictions can be combined by `AND` or `OR` logical operators. A
  // sequence of restrictions implicitly uses `AND`.
  // * A restriction has the form of `<field> <operator> <value>`.
  // * Supported fields/values for inspect jobs:
  //     - `state` - PENDING|RUNNING|CANCELED|FINISHED|FAILED
  //     - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY
  // * Supported fields for risk analysis jobs:
  //     - `state` - RUNNING|CANCELED|FINISHED|FAILED
  // * The operator must be `=` or `!=`.
  //
  // Examples:
  //
  // * inspected_storage = cloud_storage AND state = done
  // * inspected_storage = cloud_storage OR inspected_storage = bigquery
  // * inspected_storage = cloud_storage AND (state = done OR state = canceled)
  //
  // The length of this field should be no more than 500 characters.
  string filter = 1;

  // The standard list page size.
  int32 page_size = 2;

  // The standard list page token.
  string page_token = 3;

  // The type of job. Defaults to `DlpJobType.INSPECT`
  DlpJobType type = 5;
}

// The response message for listing DLP jobs.
message ListDlpJobsResponse {
  // A list of DlpJobs that matches the specified filter in the request.
  repeated DlpJob jobs = 1;

  // The standard List next-page token.
  string next_page_token = 2;
}

// The request message for canceling a DLP job.
message CancelDlpJobRequest {
  // The name of the DlpJob resource to be cancelled.
  string name = 1;
}

// The request message for deleting a DLP job.
message DeleteDlpJobRequest {
  // The name of the DlpJob resource to be deleted.
  string name = 1;
}

// Request message for CreateDeidentifyTemplate.
message CreateDeidentifyTemplateRequest {
  // The parent resource name, for example projects/my-project-id or
  // organizations/my-org-id.
  string parent = 1;

  // The DeidentifyTemplate to create.
  DeidentifyTemplate deidentify_template = 2;

  // The template id can contain uppercase and lowercase letters,
  // numbers, and hyphens; that is, it must match the regular
  // expression: `[a-zA-Z\\d-]+`. The maximum length is 100
  // characters. Can be empty to allow the system to generate one.
  string template_id = 3;
}

// Request message for UpdateDeidentifyTemplate.
message UpdateDeidentifyTemplateRequest {
  // Resource name of organization and deidentify template to be updated, for
  // example `organizations/433245324/deidentifyTemplates/432452342` or
  // projects/project-id/deidentifyTemplates/432452342.
  string name = 1;

  // New DeidentifyTemplate value.
  DeidentifyTemplate deidentify_template = 2;

  // Mask to control which fields get updated.
  google.protobuf.FieldMask update_mask = 3;
}

// Request message for GetDeidentifyTemplate.
message GetDeidentifyTemplateRequest {
  // Resource name of the organization and deidentify template to be read, for
  // example `organizations/433245324/deidentifyTemplates/432452342` or
  // projects/project-id/deidentifyTemplates/432452342.
  string name = 1;
}

// Request message for ListDeidentifyTemplates.
message ListDeidentifyTemplatesRequest {
  // The parent resource name, for example projects/my-project-id or
  // organizations/my-org-id.
  string parent = 1;

  // Optional page token to continue retrieval. Comes from previous call
  // to `ListDeidentifyTemplates`.
  string page_token = 2;

  // Optional size of the page, can be limited by server. If zero server returns
  // a page of max size 100.
  int32 page_size = 3;
}

// Response message for ListDeidentifyTemplates.
message ListDeidentifyTemplatesResponse {
  // List of deidentify templates, up to page_size in
  // ListDeidentifyTemplatesRequest.
  repeated DeidentifyTemplate deidentify_templates = 1;

  // If the next page is available then the next page token to be used
  // in following ListDeidentifyTemplates request.
  string next_page_token = 2;
}

// Request message for DeleteDeidentifyTemplate.
message DeleteDeidentifyTemplateRequest {
  // Resource name of the organization and deidentify template to be deleted,
  // for example `organizations/433245324/deidentifyTemplates/432452342` or
  // projects/project-id/deidentifyTemplates/432452342.
  string name = 1;
}

// Parts of the APIs which use certain infoTypes.
enum InfoTypeSupportedBy {
  ENUM_TYPE_UNSPECIFIED = 0;

  // Supported by the inspect operations.
  INSPECT = 1;

  // Supported by the risk analysis operations.
  RISK_ANALYSIS = 2;
}

// Operators available for comparing the value of fields.
enum RelationalOperator {
  RELATIONAL_OPERATOR_UNSPECIFIED = 0;

  // Equal.
  EQUAL_TO = 1;

  // Not equal to.
  NOT_EQUAL_TO = 2;

  // Greater than.
  GREATER_THAN = 3;

  // Less than.
  LESS_THAN = 4;

  // Greater than or equals.
  GREATER_THAN_OR_EQUALS = 5;

  // Less than or equals.
  LESS_THAN_OR_EQUALS = 6;

  // Exists
  EXISTS = 7;
}

// An enum to represent the various type of DLP jobs.
enum DlpJobType {
  DLP_JOB_TYPE_UNSPECIFIED = 0;

  // The job inspected Google Cloud for sensitive data.
  INSPECT_JOB = 1;

  // The job executed a Risk Analysis computation.
  RISK_ANALYSIS_JOB = 2;
}