// Copyright 2025 Google LLC
//
// 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.cloud.aiplatform.v1beta1;

import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/aiplatform/v1beta1/deployed_index_ref.proto";
import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
import "google/protobuf/struct.proto";
import "google/protobuf/timestamp.proto";

option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
option go_package = "cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb;aiplatformpb";
option java_multiple_files = true;
option java_outer_classname = "IndexProto";
option java_package = "com.google.cloud.aiplatform.v1beta1";
option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
option ruby_package = "Google::Cloud::AIPlatform::V1beta1";

// A representation of a collection of database items organized in a way that
// allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
message Index {
  option (google.api.resource) = {
    type: "aiplatform.googleapis.com/Index"
    pattern: "projects/{project}/locations/{location}/indexes/{index}"
  };

  // The update method of an Index.
  enum IndexUpdateMethod {
    // Should not be used.
    INDEX_UPDATE_METHOD_UNSPECIFIED = 0;

    // BatchUpdate: user can call UpdateIndex with files on Cloud Storage of
    // Datapoints to update.
    BATCH_UPDATE = 1;

    // StreamUpdate: user can call UpsertDatapoints/DeleteDatapoints to update
    // the Index and the updates will be applied in corresponding
    // DeployedIndexes in nearly real-time.
    STREAM_UPDATE = 2;
  }

  // Output only. The resource name of the Index.
  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Required. The display name of the Index.
  // The name can be up to 128 characters long and can consist of any UTF-8
  // characters.
  string display_name = 2 [(google.api.field_behavior) = REQUIRED];

  // The description of the Index.
  string description = 3;

  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
  // additional information about the Index, that is specific to it. Unset if
  // the Index does not have any additional information. The schema is defined
  // as an OpenAPI 3.0.2 [Schema
  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
  // Note: The URI given on output will be immutable and probably different,
  // including the URI scheme, than the one given on input. The output URI will
  // point to a location where the user only has a read access.
  string metadata_schema_uri = 4 [(google.api.field_behavior) = IMMUTABLE];

  // An additional information about the Index; the schema of the metadata can
  // be found in
  // [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
  google.protobuf.Value metadata = 6;

  // Output only. The pointers to DeployedIndexes created from this Index.
  // An Index can be only deleted if all its DeployedIndexes had been undeployed
  // first.
  repeated DeployedIndexRef deployed_indexes = 7
      [(google.api.field_behavior) = OUTPUT_ONLY];

  // Used to perform consistent read-modify-write updates. If not set, a blind
  // "overwrite" update happens.
  string etag = 8;

  // The labels with user-defined metadata to organize your Indexes.
  //
  // Label keys and values can be no longer than 64 characters
  // (Unicode codepoints), can only contain lowercase letters, numeric
  // characters, underscores and dashes. International characters are allowed.
  //
  // See https://goo.gl/xmQnxf for more information and examples of labels.
  map<string, string> labels = 9;

  // Output only. Timestamp when this Index was created.
  google.protobuf.Timestamp create_time = 10
      [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. Timestamp when this Index was most recently updated.
  // This also includes any update to the contents of the Index.
  // Note that Operations working on this Index may have their
  // [Operations.metadata.generic_metadata.update_time]
  // [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
  // little after the value of this timestamp, yet that does not mean their
  // results are not already reflected in the Index. Result of any successfully
  // completed Operation on the Index is reflected in it.
  google.protobuf.Timestamp update_time = 11
      [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. Stats of the index resource.
  IndexStats index_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Immutable. The update method to use with this Index. If not set,
  // BATCH_UPDATE will be used by default.
  IndexUpdateMethod index_update_method = 16
      [(google.api.field_behavior) = IMMUTABLE];

  // Immutable. Customer-managed encryption key spec for an Index. If set, this
  // Index and all sub-resources of this Index will be secured by this key.
  EncryptionSpec encryption_spec = 17 [(google.api.field_behavior) = IMMUTABLE];

  // Output only. Reserved for future use.
  bool satisfies_pzs = 18 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. Reserved for future use.
  bool satisfies_pzi = 19 [(google.api.field_behavior) = OUTPUT_ONLY];
}

// A datapoint of Index.
message IndexDatapoint {
  // Feature embedding vector for sparse index. An array of numbers whose values
  // are located in the specified dimensions.
  message SparseEmbedding {
    // Required. The list of embedding values of the sparse vector.
    repeated float values = 1 [(google.api.field_behavior) = REQUIRED];

    // Required. The list of indexes for the embedding values of the sparse
    // vector.
    repeated int64 dimensions = 2 [(google.api.field_behavior) = REQUIRED];
  }

  // Restriction of a datapoint which describe its attributes(tokens) from each
  // of several attribute categories(namespaces).
  message Restriction {
    // The namespace of this restriction. e.g.: color.
    string namespace = 1;

    // The attributes to allow in this namespace. e.g.: 'red'
    repeated string allow_list = 2;

    // The attributes to deny in this namespace. e.g.: 'blue'
    repeated string deny_list = 3;
  }

  // This field allows restricts to be based on numeric comparisons rather
  // than categorical tokens.
  message NumericRestriction {
    // Which comparison operator to use.  Should be specified for queries only;
    // specifying this for a datapoint is an error.
    //
    // Datapoints for which Operator is true relative to the query's Value
    // field will be allowlisted.
    enum Operator {
      // Default value of the enum.
      OPERATOR_UNSPECIFIED = 0;

      // Datapoints are eligible iff their value is < the query's.
      LESS = 1;

      // Datapoints are eligible iff their value is <= the query's.
      LESS_EQUAL = 2;

      // Datapoints are eligible iff their value is == the query's.
      EQUAL = 3;

      // Datapoints are eligible iff their value is >= the query's.
      GREATER_EQUAL = 4;

      // Datapoints are eligible iff their value is > the query's.
      GREATER = 5;

      // Datapoints are eligible iff their value is != the query's.
      NOT_EQUAL = 6;
    }

    // The type of Value must be consistent for all datapoints with a given
    // namespace name. This is verified at runtime.
    oneof Value {
      // Represents 64 bit integer.
      int64 value_int = 2;

      // Represents 32 bit float.
      float value_float = 3;

      // Represents 64 bit float.
      double value_double = 4;
    }

    // The namespace of this restriction. e.g.: cost.
    string namespace = 1;

    // This MUST be specified for queries and must NOT be specified for
    // datapoints.
    Operator op = 5;
  }

  // Crowding tag is a constraint on a neighbor list produced by nearest
  // neighbor search requiring that no more than some value k' of the k
  // neighbors returned have the same value of crowding_attribute.
  message CrowdingTag {
    // The attribute value used for crowding.  The maximum number of neighbors
    // to return per crowding attribute value
    // (per_crowding_attribute_num_neighbors) is configured per-query. This
    // field is ignored if per_crowding_attribute_num_neighbors is larger than
    // the total number of neighbors to return for a given query.
    string crowding_attribute = 1;
  }

  // Required. Unique identifier of the datapoint.
  string datapoint_id = 1 [(google.api.field_behavior) = REQUIRED];

  // Required. Feature embedding vector for dense index. An array of numbers
  // with the length of [NearestNeighborSearchConfig.dimensions].
  repeated float feature_vector = 2 [(google.api.field_behavior) = REQUIRED];

  // Optional. Feature embedding vector for sparse index.
  SparseEmbedding sparse_embedding = 7 [(google.api.field_behavior) = OPTIONAL];

  // Optional. List of Restrict of the datapoint, used to perform "restricted
  // searches" where boolean rule are used to filter the subset of the database
  // eligible for matching. This uses categorical tokens. See:
  // https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
  repeated Restriction restricts = 4 [(google.api.field_behavior) = OPTIONAL];

  // Optional. List of Restrict of the datapoint, used to perform "restricted
  // searches" where boolean rule are used to filter the subset of the database
  // eligible for matching. This uses numeric comparisons.
  repeated NumericRestriction numeric_restricts = 6
      [(google.api.field_behavior) = OPTIONAL];

  // Optional. CrowdingTag of the datapoint, the number of neighbors to return
  // in each crowding can be configured during query.
  CrowdingTag crowding_tag = 5 [(google.api.field_behavior) = OPTIONAL];
}

// Stats of the Index.
message IndexStats {
  // Output only. The number of dense vectors in the Index.
  int64 vectors_count = 1 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. The number of sparse vectors in the Index.
  int64 sparse_vectors_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. The number of shards in the Index.
  int32 shards_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
}
