60 lines
2.4 KiB
Dart
60 lines
2.4 KiB
Dart
import './clock_in_model.dart';
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import '../services/generic_api_service.dart';
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import 'package:intl/intl.dart';
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import '../auth_manager.dart'; // 確保引入 AuthManager
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class ClockInApiService {
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final GenericApiService _apiService = GenericApiService();
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// 1. 獲取店點清單 (對應新 table)
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Future<List<ClockInStore>> fetchStores() async {
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return await _apiService.fetchList<ClockInStore>(
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tableName: "hrs_ClockInStore",
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pk: "StoreId",
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queryFilter: "1^100^StoreId^*^^^Stat^Y", // 假設 Stat='Y' 為啟用
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fromJson: (json) => ClockInStore.fromJson(json),
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);
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}
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// 2. 獲取打卡歷史
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Future<List<ClockInRecord>> fetchHistory(String userId) async {
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// 1. 讀取 Token
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String? userId = await AuthManager.getUserId();
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// String queryFilter = "1^100^ClockInDateTime^*^^^ClockInUserId^$userId";
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return await _apiService.fetchList<ClockInRecord>(
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tableName: "hrs_ClockInRecord",
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pk: "ClockInId",
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queryFilter: "1^100^ClockInDateTime^*^ClockInDateTime >= DATE_SUB(CURDATE(), INTERVAL 7 DAY)^^ClockInUserId^$userId",
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fromJson: (json) => ClockInRecord.fromJson(json),
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);
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}
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// 3. 提交打卡
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//Future<List> postClockIn(ClockInRecord record) async {
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Future<List<ClockInRecord>> postClockIn(ClockInRecord record) async {
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// 取得當前登入者 ID (確保 AuthManager 已改為單例模式)
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final String currentUid = AuthManager().currentUserId ?? record.userId.toString();
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// 將所有欄位轉為 String，避免 Map<String, String?> 的錯誤
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final Map<String, String> data = {
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"ClockInUserId": currentUid,
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"ClockInDateTime": DateFormat('yyyy-MM-dd HH:mm:ss').format(DateTime.now()),
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"ClockInLatitude": (record.latitude ?? 0.0).toString(),
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"ClockInLongitude": (record.longitude ?? 0.0).toString(),
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"ClockInType": record.type ?? "未知",
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"ClockInStoreId": record.storeId ?? "",
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"CreatorId": currentUid,
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"CreateDateTime": DateFormat('yyyy-MM-dd HH:mm:ss').format(DateTime.now()),
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};
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return await _apiService.fetchList<ClockInRecord>(
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tableName: "hrs_ClockInRecord",
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pk: "ClockInId",
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queryFilter: "", // 通常新增不需要 filter，依後端 API 協議而定
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action: "C", // 傳入您指定的動作碼 'C' (Create)
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data: data, // 將打卡欄位資料透過額外參數傳入
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fromJson: (json) => ClockInRecord.fromJson(json), // 這裡填入模型的解析工廠
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);
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}
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} |