nc-photos/app/lib/entity/face/data_source.dart
2022-12-16 23:01:04 +08:00

61 lines
1.5 KiB
Dart

import 'dart:convert';
import 'package:logging/logging.dart';
import 'package:nc_photos/account.dart';
import 'package:nc_photos/api/api.dart';
import 'package:nc_photos/entity/face.dart';
import 'package:nc_photos/entity/person.dart';
import 'package:nc_photos/exception.dart';
import 'package:nc_photos/type.dart';
import 'package:np_codegen/np_codegen.dart';
part 'data_source.g.dart';
@npLog
class FaceRemoteDataSource implements FaceDataSource {
const FaceRemoteDataSource();
@override
list(Account account, Person person) async {
_log.info("[list] $person");
final response = await Api(account)
.ocs()
.facerecognition()
.person(person.name)
.faces()
.get();
if (!response.isGood) {
_log.severe("[list] Failed requesting server: $response");
throw ApiException(
response: response,
message:
"Server responed with an error: HTTP ${response.statusCode}");
}
final json = jsonDecode(response.body);
final List<JsonObj> dataJson = json["ocs"]["data"].cast<JsonObj>();
return _FaceParser().parseList(dataJson);
}
}
@npLog
class _FaceParser {
List<Face> parseList(List<JsonObj> jsons) {
final product = <Face>[];
for (final j in jsons) {
try {
product.add(parseSingle(j));
} catch (e) {
_log.severe("[parseList] Failed parsing json: ${jsonEncode(j)}", e);
}
}
return product;
}
Face parseSingle(JsonObj json) {
return Face(
id: json["id"],
fileId: json["fileId"],
);
}
}