feat: Automated regeneration of Firestore client (googleapis#12428)

Auto-created at 2024-10-28 13:18:58 +0000 using the toys pull request generator.

Author: yoshi-code-bot

clients/firestore/lib/google_api/firestore/v1/metadata.ex

@@ -20,7 +20,7 @@ defmodule GoogleApi.Firestore.V1 do
   API client metadata for GoogleApi.Firestore.V1.
   """
 
-  @discovery_revision "20240904"
+  @discovery_revision "20241018"
 
   def discovery_revision(), do: @discovery_revision
 end

clients/firestore/lib/google_api/firestore/v1/model/find_nearest.ex

@@ -23,7 +23,7 @@ defmodule GoogleApi.Firestore.V1.Model.FindNearest do
 
   *   `distanceMeasure` (*type:* `String.t`, *default:* `nil`) - Required. The distance measure to use, required.
   *   `distanceResultField` (*type:* `String.t`, *default:* `nil`) - Optional. Optional name of the field to output the result of the vector distance calculation. Must conform to document field name limitations.
-  *   `distanceThreshold` (*type:* `float()`, *default:* `nil`) - Optional. Option to specify a threshold for which no less similar documents will be returned. The behavior of the specified `distance_measure` will affect the meaning of the distance threshold. Since DOT_PRODUCT distances increase when the vectors are more similar, the comparison is inverted. For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold For DOT_PRODUCT: WHERE distance >= distance_threshold
+  *   `distanceThreshold` (*type:* `float()`, *default:* `nil`) - Optional. Option to specify a threshold for which no less similar documents will be returned. The behavior of the specified `distance_measure` will affect the meaning of the distance threshold. Since DOT_PRODUCT distances increase when the vectors are more similar, the comparison is inverted. * For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold * For DOT_PRODUCT: WHERE distance >= distance_threshold
   *   `limit` (*type:* `integer()`, *default:* `nil`) - Required. The number of nearest neighbors to return. Must be a positive integer of no more than 1000.
   *   `queryVector` (*type:* `GoogleApi.Firestore.V1.Model.Value.t`, *default:* `nil`) - Required. The query vector that we are searching on. Must be a vector of no more than 2048 dimensions.
   *   `vectorField` (*type:* `GoogleApi.Firestore.V1.Model.FieldReference.t`, *default:* `nil`) - Required. An indexed vector field to search upon. Only documents which contain vectors whose dimensionality match the query_vector can be returned.

clients/firestore/lib/google_api/firestore/v1/model/structured_query.ex

@@ -17,7 +17,7 @@
 
 defmodule GoogleApi.Firestore.V1.Model.StructuredQuery do
   @moduledoc """
-  A Firestore query. The query stages are executed in the following order: 1. from 2. where 3. select 4. order_by + start_at + end_at 5. offset 6. limit
+  A Firestore query. The query stages are executed in the following order: 1. from 2. where 3. select 4. order_by + start_at + end_at 5. offset 6. limit 7. find_nearest
 
   ## Attributes
 

clients/firestore/lib/google_api/firestore/v1beta1/metadata.ex

@@ -20,7 +20,7 @@ defmodule GoogleApi.Firestore.V1beta1 do
   API client metadata for GoogleApi.Firestore.V1beta1.
   """
 
-  @discovery_revision "20240822"
+  @discovery_revision "20241018"
 
   def discovery_revision(), do: @discovery_revision
 end

clients/firestore/lib/google_api/firestore/v1beta1/model/find_nearest.ex

@@ -23,7 +23,7 @@ defmodule GoogleApi.Firestore.V1beta1.Model.FindNearest do
 
   *   `distanceMeasure` (*type:* `String.t`, *default:* `nil`) - Required. The distance measure to use, required.
   *   `distanceResultField` (*type:* `String.t`, *default:* `nil`) - Optional. Optional name of the field to output the result of the vector distance calculation. Must conform to document field name limitations.
-  *   `distanceThreshold` (*type:* `float()`, *default:* `nil`) - Optional. Option to specify a threshold for which no less similar documents will be returned. The behavior of the specified `distance_measure` will affect the meaning of the distance threshold. Since DOT_PRODUCT distances increase when the vectors are more similar, the comparison is inverted. For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold For DOT_PRODUCT: WHERE distance >= distance_threshold
+  *   `distanceThreshold` (*type:* `float()`, *default:* `nil`) - Optional. Option to specify a threshold for which no less similar documents will be returned. The behavior of the specified `distance_measure` will affect the meaning of the distance threshold. Since DOT_PRODUCT distances increase when the vectors are more similar, the comparison is inverted. * For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold * For DOT_PRODUCT: WHERE distance >= distance_threshold
   *   `limit` (*type:* `integer()`, *default:* `nil`) - Required. The number of nearest neighbors to return. Must be a positive integer of no more than 1000.
   *   `queryVector` (*type:* `GoogleApi.Firestore.V1beta1.Model.Value.t`, *default:* `nil`) - Required. The query vector that we are searching on. Must be a vector of no more than 2048 dimensions.
   *   `vectorField` (*type:* `GoogleApi.Firestore.V1beta1.Model.FieldReference.t`, *default:* `nil`) - Required. An indexed vector field to search upon. Only documents which contain vectors whose dimensionality match the query_vector can be returned.

clients/firestore/lib/google_api/firestore/v1beta1/model/structured_query.ex

@@ -17,7 +17,7 @@
 
 defmodule GoogleApi.Firestore.V1beta1.Model.StructuredQuery do
   @moduledoc """
-  A Firestore query. The query stages are executed in the following order: 1. from 2. where 3. select 4. order_by + start_at + end_at 5. offset 6. limit
+  A Firestore query. The query stages are executed in the following order: 1. from 2. where 3. select 4. order_by + start_at + end_at 5. offset 6. limit 7. find_nearest
 
   ## Attributes
 

clients/firestore/mix.exs

@@ -18,7 +18,7 @@
 defmodule GoogleApi.Firestore.Mixfile do
   use Mix.Project
 
-  @version "0.32.0"
+  @version "0.32.1"
 
   def project() do
     [