Add db for offline ml data

mobile/lib/db/ml/base.dart

@@ -9,7 +9,7 @@ import "package:photos/services/machine_learning/face_ml/face_clustering/face_db
 abstract class IMLDataDB<T> {
   Future<void> bulkInsertFaces(List<Face> faces);
   Future<void> updateFaceIdToClusterId(Map<String, String> faceIDToClusterID);
-  Future<Map<int, int>> faceIndexedFileIds({int minimumMlVersion});
+  Future<Map<T, int>> faceIndexedFileIds({int minimumMlVersion});
   Future<int> getFaceIndexedFileCount({int minimumMlVersion});
   Future<Map<String, int>> clusterIdToFaceCount();
   Future<Set<String>> getPersonIgnoredClusters(String personID);

mobile/lib/db/ml/db.dart

@@ -49,13 +49,13 @@ class MLDataDB with SqlDbBase implements IMLDataDB<int> {
   static final MLDataDB instance = MLDataDB._privateConstructor();
 
   static final _migrationScripts = [
-    createFacesTable,
+    getCreateFacesTable(false),
     createFaceClustersTable,
     createClusterPersonTable,
     createClusterSummaryTable,
     createNotPersonFeedbackTable,
     fcClusterIDIndex,
-    createClipEmbeddingsTable,
+    getCreateClipEmbeddingsTable(false),
     createFileDataTable,
   ];
 
@@ -337,10 +337,10 @@ class MLDataDB with SqlDbBase implements IMLDataDB<int> {
             (element) => (element[fileIDColumn] as int) == avatarFileId,
           );
           if (row != null) {
-            return mapRowToFace(row);
+            return mapRowToFace<int>(row);
           }
         }
-        return mapRowToFace(faceMaps.first);
+        return mapRowToFace<int>(faceMaps.first);
       }
     }
     if (clusterID != null) {
@@ -384,7 +384,7 @@ class MLDataDB with SqlDbBase implements IMLDataDB<int> {
     if (maps.isEmpty) {
       return null;
     }
-    return maps.map((e) => mapRowToFace(e)).toList();
+    return maps.map((e) => mapRowToFace<int>(e)).toList();
   }
 
   @override
@@ -401,7 +401,7 @@ class MLDataDB with SqlDbBase implements IMLDataDB<int> {
     }
     final result = <int, List<FaceWithoutEmbedding>>{};
     for (final map in maps) {
-      final face = mapRowToFaceWithoutEmbedding(map);
+      final face = mapRowToFaceWithoutEmbedding<int>(map);
       final fileID = map[fileIDColumn] as int;
       result.putIfAbsent(fileID, () => <FaceWithoutEmbedding>[]).add(face);
     }
@@ -1060,7 +1060,7 @@ class MLDataDB with SqlDbBase implements IMLDataDB<int> {
       final db = await instance.asyncDB;
       if (faces) {
         await db.execute(deleteFacesTable);
-        await db.execute(createFacesTable);
+        await db.execute(getCreateFacesTable(false));
         await db.execute(deleteFaceClustersTable);
         await db.execute(createFaceClustersTable);
         await db.execute(fcClusterIDIndex);

mobile/lib/db/ml/db_model_mappers.dart

@@ -7,7 +7,7 @@ import "package:photos/models/ml/face/face.dart";
 import "package:photos/models/ml/face/face_with_embedding.dart";
 import "package:photos/models/ml/ml_versions.dart";
 
-Map<String, dynamic> mapRemoteToFaceDB(Face face) {
+Map<String, dynamic> mapRemoteToFaceDB<T>(Face<T> face) {
   return {
     faceIDColumn: face.faceID,
     fileIDColumn: face.fileID,
@@ -24,10 +24,10 @@ Map<String, dynamic> mapRemoteToFaceDB(Face face) {
   };
 }
 
-Face mapRowToFace(Map<String, dynamic> row) {
+Face mapRowToFace<T>(Map<String, dynamic> row) {
   return Face(
     row[faceIDColumn] as String,
-    row[fileIDColumn] as int,
+    row[fileIDColumn] as T,
     EVector.fromBuffer(row[embeddingColumn] as List<int>).values,
     row[faceScore] as double,
     Detection.fromJson(json.decode(row[faceDetectionColumn] as String)),
@@ -39,10 +39,12 @@ Face mapRowToFace(Map<String, dynamic> row) {
   );
 }
 
-FaceWithoutEmbedding mapRowToFaceWithoutEmbedding(Map<String, dynamic> row) {
-  return FaceWithoutEmbedding(
+FaceWithoutEmbedding<T> mapRowToFaceWithoutEmbedding<T>(
+  Map<String, dynamic> row,
+) {
+  return FaceWithoutEmbedding<T>(
     row[faceIDColumn] as String,
-    row[fileIDColumn] as int,
+    row[fileIDColumn] as T,
     row[faceScore] as double,
     Detection.fromJson(json.decode(row[faceDetectionColumn] as String)),
     row[faceBlur] as double,

mobile/lib/db/ml/schema.dart

@@ -16,8 +16,9 @@ const mlVersionColumn = 'ml_version';
 const personIdColumn = 'person_id';
 const clusterIDColumn = 'cluster_id';
 
-const createFacesTable = '''CREATE TABLE IF NOT EXISTS $facesTable (
-  $fileIDColumn	INTEGER NOT NULL,
+String getCreateFacesTable(bool isOfflineDB) {
+  return '''CREATE TABLE IF NOT EXISTS $facesTable (
+  $fileIDColumn	${isOfflineDB ? 'TEXT' : 'INTEGER'} NOT NULL,
   $faceIDColumn  TEXT NOT NULL UNIQUE,
 	$faceDetectionColumn	TEXT NOT NULL,
   $embeddingColumn BLOB NOT NULL,
@@ -30,6 +31,7 @@ const createFacesTable = '''CREATE TABLE IF NOT EXISTS $facesTable (
   PRIMARY KEY($fileIDColumn, $faceIDColumn)
   );
   ''';
+}
 
 const deleteFacesTable = 'DELETE FROM $facesTable';
 // End of Faces Table Fields & Schema Queries
@@ -97,18 +99,20 @@ const deleteNotPersonFeedbackTable = 'DELETE FROM $notPersonFeedback';
 // ## CLIP EMBEDDINGS TABLE
 const clipTable = 'clip';
 
-const createClipEmbeddingsTable = '''
-CREATE TABLE IF NOT EXISTS $clipTable ( 
-  $fileIDColumn INTEGER NOT NULL,
+String getCreateClipEmbeddingsTable(bool isOfflineDB) {
+  return '''CREATE TABLE IF NOT EXISTS $clipTable ( 
+  $fileIDColumn	${isOfflineDB ? 'TEXT' : 'INTEGER'} NOT NULL,
   $embeddingColumn BLOB NOT NULL,
   $mlVersionColumn INTEGER NOT NULL,
-  PRIMARY KEY ($fileIDColumn)
+  PRIMARY KEY($fileIDColumn)
   );
-''';
+  ''';
+}
 
 const deleteClipEmbeddingsTable = 'DELETE FROM $clipTable';
 
 const fileDataTable = 'filedata';
+
 const createFileDataTable = '''
 CREATE TABLE IF NOT EXISTS $fileDataTable ( 
   $fileIDColumn INTEGER NOT NULL,