components/sync/protocol/segmentation_specifics.proto

// Copyright 2022 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
//
// Sync protocol datatype extension for segmentations.

// If you change or add any fields in this file, update proto_visitors.h and
// potentially proto_enum_conversions.{h, cc}.

syntax = "proto2";

option java_multiple_files = true;
option java_package = "org.chromium.components.sync.protocol";

option optimize_for = LITE_RUNTIME;

package sync_pb;

// Sync data proto for storing segmentation data. Keyed by the combination of
// cache_guid (a Sync client id) and segmentation key.
//
// The segmentation platform is a platform that uses intelligence and machine
// learning to guide developers for building purpose-built user experience for
// specific segments of users. See go/chrome-segmentation for more details.
message SegmentationSpecifics {
  // The selected segment by the segmentation scheme.
  message SegmentSelectionResult {
    // The string ID that refers to the segment the user was assigned to, e.g.,
    // 'highly_engaged_user'.
    optional string selected_segment = 1;

    // Expiry time of selection result. Represents time from windows epoch in
    // seconds. Expired results are ignored by clients.
    optional int64 expiry_time_windows_epoch_seconds = 2;

    // Time when the segmentation data is updated. Used to weigh results by
    // recency. Represents time from windows epoch in seconds.
    optional int64 last_updated_time_windows_epoch_seconds = 3;
  }

  // Metadata about the client device as used by the segmentation platform.
  message DeviceMetadata {
    // The cache_guid created to identify a sync client on this device.
    // Reuses the same Sync guid.
    optional string cache_guid = 1;

    enum PlatformType {
      PLATFORM_TYPE_UNSPECIFIED = 0;
      PLATFORM_WINDOWS = 1;
      PLATFORM_MAC = 2;
      PLATFORM_LINUX = 3;
      PLATFORM_CHROMEOS_ASH = 4;
      PLATFORM_ANDROID = 5;
      PLATFORM_IOS = 6;
      PLATFORM_CHROMEOS_LACROS = 7;
    }

    // The OS platform of the device.
    optional PlatformType platform_type = 2;
  }

  // Model execution data including segment scores and related metadata, e.g.,
  // model version.
  message ModelExecutionData {
    // Output of model.
    message ModelOutput {
      // When outputting multiple scores from a single model, this is the
      // segment label for each output.
      optional string label = 1;

      // Raw segment scores provided by the ML model or the heuristic model.
      // The score is derived based on a combination of UMA histograms,
      // user actions or UKM and URLs visited. The score can be treated as a
      // probability of the user liking a feature, like feed, or NTP.
      optional float score = 2;

      // A rank defined by the segmentation scheme.
      optional int32 rank = 3;
    }

    // A string ID that identifies a model.
    optional string model_id = 1;

    // A model may output one or multiple scores, one score for each segment
    // label.
    repeated ModelOutput model_outputs = 2;

    // Timestamp when the ML model was executed.
    // Represents time from windows epoch in seconds.
    optional int64 execution_time_windows_epoch_seconds = 3;

    // Expiry timestamp for the model scores.
    // Represents time from windows epoch in seconds.
    optional int64 score_expiry_time_windows_epoch_seconds = 4;

    // The version of the ML model that was run.
    optional int32 model_version = 5;
  }

  // The key used to identify the type of segmentation associated with a
  // feature, e.g. 'user_engagement'.
  optional string segmentation_key = 1;

  optional SegmentSelectionResult segment_selection_result = 2;

  optional DeviceMetadata device_metadata = 3;

  // One or more model execution data associated with each segment for the
  // segmentation key.
  repeated ModelExecutionData model_execution_data = 4;
}