1.dart

  /// datasetName = test_dev
  static Future<void> generateLabels(String datasetName) async {
    //const FUNCTIONS_URL = "us-central1-testproject-afd2f.cloudfunctions.net";

    final response = await http.get(Uri.https(
        FUNCTIONS_URL, "/generateLabelFile", {"dataset": datasetName}));
    if (response.statusCode == 200) {
      return Future.value();
    } else {
      throw Exception("Error while generating label file: " + response.body);
    }
  }

2.dart

//datasetName = test_dev
//automlId = ICN5867432750952218624
  static Future<String> importDataset(
      String datasetName, String automlId) async {
        //const FUNCTIONS_URL = "us-central1-testproject-afd2f.cloudfunctions.net";
        //_AUTOMLAPI = "/automlApi"
    final response = await http.post(
      Uri.https(FUNCTIONS_URL, "$_AUTOMLAPI/import"),
      body: {
        "name": datasetName,
        "datasetId": automlId,
        "labels": "labels.csv"
      },
    );
    if (response.statusCode == 200) {
      if (response.body.isNotEmpty) {
        final Map body = jsonDecode(response.body);

        print("Got response" + body.toString());
        return body["name"];
      }
    } else {
      throw Exception(
          "Error while initiating importing the dataset: " + response.body);
    }
  }

how to call.dart

  ///
  /// Training the dataset comprises of a set of steps
  /// 1. Generate the labels.csv file
  /// 2. Import the data into AutoML
  /// 3. Initiate training the model
  /// 4. Export the model into GCS
  ///
  /// All of these (apart from 1) returns long-running operations from AutoML.
  ///
  Future<void> _initTraining(BuildContext context, int trainingBudget) async {
    //final datasetName = widget.dataset.name.trim();
    final datasetName = "test_dev";
    
    try {
      await generateLabels(datasetName);
      final importDatasetOperation =
          await importDataset(datasetName, widget.dataset.automlId); // widget.dataset.automlId = ICN5867432750952218624

      Firestore.instance.collection('operations').add({
        "dataset_id": ICN5867432750952218624, // ICN5867432750952218624
        "name": importDatasetOperation, // имя которое получил с этой функции
        "last_updated": DateTime.now().millisecondsSinceEpoch,
        "done": false,
        "training_budget": 1,
        "type": "IMPORT_DATA"
      }).whenComplete(() {
        print("Added operation: $importDatasetOperation to Firestore");
      });

    } catch (err) {
      showSnackBar("Error while starting training");
      print("Error $err");
    }
  }