DOCSP-43826: v5.2 release (#175)

* DOCSP-43826: v5.2 release

* test fixes

* avs updates

* wip

* docs-shared updated

* trim tables - MW

* condense tables

Author: rustagir

config/redirects

@@ -1,6 +1,6 @@
 define: prefix docs/drivers/kotlin/coroutine
 define: base https://www.mongodb.com/${prefix}
-define: versions v4.10 v4.11 v5.0 v5.1 master
+define: versions v4.10 v4.11 v5.0 v5.1 v5.2 master
 
 raw: ${prefix}/ -> ${base}/current/
 

examples/gradle.properties

@@ -1,2 +1,2 @@
 kotlin.code.style=official
-kotlin_mongodb_version=5.1.4
+kotlin_mongodb_version=5.2.0

examples/src/test/kotlin/AggregatesBuilderTest.kt

@@ -28,7 +28,7 @@ import com.mongodb.client.model.geojson.Position
 import com.mongodb.client.model.search.SearchOperator
 import com.mongodb.client.model.search.SearchOptions
 import com.mongodb.client.model.search.SearchPath
-import com.mongodb.client.model.search.VectorSearchOptions.vectorSearchOptions
+import com.mongodb.client.model.search.VectorSearchOptions.exactVectorSearchOptions
 import com.mongodb.kotlin.client.coroutine.MongoClient
 import config.getConfig
 import kotlinx.coroutines.flow.firstOrNull
@@ -981,13 +981,13 @@ class AggregatesBuilderTest {
                     SearchPath.fieldPath(MovieAlt::plotEmbedding.name),
                     listOf(-0.0072121937, -0.030757688, -0.012945653),
                     "mflix_movies_embedding_index",
-                    2.toLong(),
                     1.toLong(),
-                    vectorSearchOptions().filter(Filters.gte(MovieAlt::year.name, 2016))
+                    exactVectorSearchOptions().filter(Filters.gte(MovieAlt::year.name, 2016))
                 )
                 // :snippet-end:
             )
         )
+
         val results = resultsFlow.toList()
         assertEquals(1, resultsFlow.toList().size)
         assertEquals(1, results.first().get("count", Document::class.java).get("lowerBound", java.lang.Long::class.java)?.toInt())

examples/src/test/kotlin/SearchIndexesTest.kt

@@ -1,5 +1,6 @@
 
 import com.mongodb.client.model.SearchIndexModel
+import com.mongodb.client.model.SearchIndexType
 import com.mongodb.kotlin.client.coroutine.MongoClient
 import config.getConfig
 import kotlinx.coroutines.flow.toList

snooty.toml

@@ -19,8 +19,8 @@ sharedinclude_root = "https://raw.githubusercontent.com/10gen/docs-shared/main/"
 driver = "kotlin"
 driver-short = "Kotlin driver"
 driver-long = "MongoDB Kotlin Driver"
-version = "5.1"
-full-version = "{+version+}.4"
+version = "5.2"
+full-version = "{+version+}.0"
 language = "Kotlin"
 mdb-server = "MongoDB server"
 kotlin-docs = "https://kotlinlang.org"

source/examples/generated/AggregatesBuilderTest.snippet.vector-search.kt

@@ -2,7 +2,6 @@ Aggregates.vectorSearch(
     SearchPath.fieldPath(MovieAlt::plotEmbedding.name),
     listOf(-0.0072121937, -0.030757688, -0.012945653),
     "mflix_movies_embedding_index",
-    2.toLong(),
     1.toLong(),
-    vectorSearchOptions().filter(Filters.gte(MovieAlt::year.name, 2016))
+    exactVectorSearchOptions().filter(Filters.gte(MovieAlt::year.name, 2016))
 )

source/fundamentals/builders/aggregates.txt

@@ -932,13 +932,12 @@ The example in this section uses data modeled with the following Kotlin data cla
    :language: kotlin
 
 This example shows how to build an aggregation pipeline that uses the
-``vectorSearch()`` method to perform a vector search with the following
+``vectorSearch()`` method to perform an exact vector search with the following
 specifications:
 
 - Searches ``plotEmbedding`` field values by using vector embeddings of a
   string value
 - Uses the ``mflix_movies_embedding_index`` vector search index
-- Considers up to 2 nearest neighbors
 - Returns 1 document
 - Filters for documents in which the ``year`` value is at least ``2016``
 
@@ -947,4 +946,4 @@ specifications:
 
 To learn more about this helper, see the
 `vectorSearch() API documentation
-<{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/Aggregates.html#vectorSearch(com.mongodb.client.model.search.FieldSearchPath,java.lang.Iterable,java.lang.String,long,long)>`__.
+<{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/Aggregates.html#vectorSearch(com.mongodb.client.model.search.FieldSearchPath,java.lang.Iterable,java.lang.String,long,com.mongodb.client.model.search.VectorSearchOptions)>`__.

source/fundamentals/indexes.txt

@@ -270,6 +270,11 @@ The following code example shows how to create an Atlas Search index:
 .. literalinclude:: /examples/generated/SearchIndexesTest.snippet.single-search-index-create.kt
    :language: kotlin
 
+To create multiple Search or Vector Search indexes, you must create a
+`SearchIndexModel
+<{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/SearchIndexModel.html>`__
+instance for each index.
+
 The following code example shows how to create Search and
 Vector Search indexes in one call:
 

source/includes/language-compatibility-table-kotlin.rst

@@ -7,14 +7,5 @@
    * - Kotlin Driver Version
      - Kotlin 1.8
 
-   * - 5.1
-     - ✓
-
-   * - 5.0
-     - ✓
-
-   * - 4.11
-     - ✓
-
-   * - 4.10
+   * - 4.10 to 5.2
      - ✓

source/includes/mongodb-compatibility-table-kotlin.rst

@@ -12,10 +12,6 @@
      - MongoDB 4.2
      - MongoDB 4.0
      - MongoDB 3.6
-     - MongoDB 3.4
-     - MongoDB 3.2
-     - MongoDB 3.0
-     - MongoDB 2.6
 
    * - 5.2
      - ✓
@@ -26,12 +22,8 @@
      - ✓
      - ✓
      - ✓
-     -
-     -
-     -
-     -
 
-   * - 5.1
+   * - 4.10 to 5.1
      - ⊛
      - ✓
      - ✓
@@ -40,50 +32,3 @@
      - ✓
      - ✓
      - ✓
-     -
-     -
-     -
-     -
-
-   * - 5.0
-     - ⊛
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     -
-     -
-     -
-     -
-
-   * - 4.11
-     - ⊛
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     -
-     -
-     -
-     -
-
-   * - 4.10
-     - ⊛
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     - ✓
-     -
-     -
-     -
-     -
-