docFrontVerify method

Future<IdCheckModel> docFrontVerify(dynamic file, dynamic type)

ml api

Implementation

Future<IdCheckModel> docFrontVerify(file, type) async {
  //  print("docFrontVerify ///");
    // String fileName = path.basename(file.path);
    // String fileName1 = fileName.replaceAll(".jpg", "");
    List<int> bytes = await file.readAsBytes();

// Encode the bytes as Base64
    String base64File = base64Encode(bytes);
    //Logger().i(base64File);
    var payload = {
      "image_id": '${DateTime.now().microsecond}',
      "type": type == "AADHAAR" ? "Aadhaar" : "PAN",
      "file": base64File,
    };
    //log('*** $base64File ***');
    // debugPrint('// $base64File //');
    //Logger().i(payload);
    // Logger().v('// $base64File //');
    Response response;
    final dio = apiClient();
    try {
      var data = dio.then((value) async {
        //response = await value.post("imageRecognition/idCard",
        response = await value.post("imageRecognition/idCardNo", data: payload);
         print("docFrontVerify=${response.data}");
         print("statusCode=${response.statusCode}");
        if (response.statusCode == 200) {
          IdCheckModel results = IdCheckModel.fromMap(response.data);
          return results;
        } else {
          throw Exception("failed");
        }
      });
      return data;
    } catch (e) {
      //print(e);
      rethrow;
    }
  }