Simplify

mobile/lib/db/files_db.dart

@@ -1805,17 +1805,17 @@ class FilesDB with SqlDbBase {
     return FileLoadResult(filteredFiles, files.length == limit);
   }
 
-  Future<List<int>> getAllFileIDs() async {
+  Future<int> remoteFileCount() async {
     final db = await instance.sqliteAsyncDB;
     final results = await db.getAll('''
       SELECT DISTINCT $columnUploadedFileID FROM $filesTable
       WHERE  $columnUploadedFileID IS NOT NULL AND $columnUploadedFileID IS NOT -1    
     ''');
-    final ids = <int>[];
+    final ids = <int>{};
     for (final result in results) {
       ids.add(result[columnUploadedFileID] as int);
     }
-    return ids;
+    return ids.length;
   }
 
   ///Returns "columnName1 = ?, columnName2 = ?, ..."

mobile/lib/db/ml/db.dart

@@ -814,7 +814,7 @@ class MLDataDB with SqlDbBase implements IMLDataDB<int> {
 
   @override
   Future<double> getClusteredToIndexableFilesRatio() async {
-    final int indexableFiles = (await getIndexableFileIDs()).length;
+    final int indexableFiles = await getIndexableFileCount();
     final int clusteredFiles = await getClusteredOrFacelessFileCount();
 
     return clusteredFiles / indexableFiles;

mobile/lib/utils/ml_util.dart

@@ -56,7 +56,7 @@ class FileMLInstruction {
 Future<IndexStatus> getIndexStatus() async {
   try {
     final mlDataDB = MLDataDB.instance;
-    final int indexableFiles = (await getIndexableFileIDs()).length;
+    final int indexableFiles = await getIndexableFileCount();
     final int facesIndexedFiles = await mlDataDB.getFaceIndexedFileCount();
     final int clipIndexedFiles = await mlDataDB.getClipIndexedFileCount();
     final int indexedFiles = math.min(facesIndexedFiles, clipIndexedFiles);
@@ -320,9 +320,8 @@ bool _shouldDiscardRemoteEmbedding(FileDataEntity fileML) {
   return false;
 }
 
-Future<Set<int>> getIndexableFileIDs() async {
-  final fileIDs = await FilesDB.instance.getAllFileIDs();
-  return fileIDs.toSet();
+Future<int> getIndexableFileCount() async {
+  return FilesDB.instance.remoteFileCount();
 }
 
 Future<String> getImagePathForML(EnteFile enteFile) async {