[mob] Update as per new API spec

mobile/lib/services/filedata/filedata_service.dart

@@ -48,11 +48,11 @@ class FileDataService {
 
   Future<FileDataResponse> getFilesData(
     Set<int> fileIds, {
-    DataType type = DataType.derivedMeta,
+    DataType type = DataType.mlData,
   }) async {
     try {
       final res = await _dio.post(
-        "/files/fetch-data/",
+        "/files/data/fetch",
         data: {
           "fileIDs": fileIds.toList(),
           "type": type.toJson(),

mobile/lib/services/filedata/model/file_data.dart

@@ -4,7 +4,7 @@ const _faceKey = 'face';
 const _clipKey = 'clip';
 
 enum DataType {
-  derivedMeta('derivedMeta');
+  mlData('mldata');
 
   final String value;
   const DataType(this.value);
@@ -34,7 +34,7 @@ class FileDataEntity {
   );
 
   void validate() {
-    if (type == DataType.derivedMeta) {
+    if (type == DataType.mlData) {
       if (remoteRawData[_faceKey] == null) {
         throw Exception('Face embedding is null');
       }
@@ -64,12 +64,12 @@ class FileDataEntity {
   }
 
   void putFace(RemoteFaceEmbedding faceEmbedding) {
-    assert(type == DataType.derivedMeta, 'Invalid type ${type.value}');
+    assert(type == DataType.mlData, 'Invalid type ${type.value}');
     remoteRawData[_faceKey] = faceEmbedding.toJson();
   }
 
   void putClip(RemoteClipEmbedding clipEmbedding) {
-    assert(type == DataType.derivedMeta, 'Invalid type ${type.value}');
+    assert(type == DataType.mlData, 'Invalid type ${type.value}');
     remoteRawData[_clipKey] = clipEmbedding.toJson();
   }
 

mobile/lib/services/machine_learning/ml_service.dart

@@ -453,7 +453,7 @@ class MLService {
           final FileDataEntity dataEntity = instruction.existingRemoteFileML ??
               FileDataEntity.empty(
                 instruction.file.uploadedFileID!,
-                DataType.derivedMeta,
+                DataType.mlData,
               );
           if (result.facesRan) {
             dataEntity.putFace(