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offline-sync

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Original

English

🇨🇳

Translation

Chinese

Offline-First & Data Sync Specialist Skill

离线优先与数据同步专家技能

This skill enables the assistant to design and implement a robust synchronization system to solve the "No Offline Queue" issue (P0).

这个技能可帮助助手设计并实现稳健的同步系统，以解决"无离线队列"问题（P0）。

Knowledge Areas

知识领域

1. Local Storage (Native)

1. 本地存储（原生端）

Room Database: Implementing a local SQLite storage on the Android side to buffer location updates.
Data Entities: Defining schema for
```
OfflineLocation
```
that matches the Supabase
```
registros_reten
```
structure.

Room Database： 在Android端实现本地SQLite存储，用于缓存位置更新数据。
数据实体： 定义
```
OfflineLocation
```
的schema，匹配Supabase的
```
registros_reten
```
结构。

2. Synchronization Strategies

2. 同步策略

Background Sync: Using
```
WorkManager
```
for reliable data upload when connectivity returns.
Conflict Resolution: Simple timestamp-based resolution for location data.
Batched Uploads: Strategies for sending multiple records in a single HTTP request to Supabase to save battery.

后台同步： 使用
```
WorkManager
```
在网络恢复时可靠地上传数据。
冲突解决： 针对位置数据采用基于时间戳的简单解决方案。
批量上传： 单次HTTP请求向Supabase发送多条记录的策略，以节省电量。

3. Connection Monitoring

3. 连接状态监控

Network State: Reacting to connectivity changes on both the Web (React) and Native (Java) sides.
Failover Logic: Gracefully switching between direct-to-Supabase and local-first modes.

网络状态： 在Web（React）和原生（Java）两端响应网络连通性变化。
故障切换逻辑： 在直连Supabase模式和本地优先模式之间平滑切换。

4. Data Integrity

4. 数据完整性

De-duplication: Ensuring the same location point isn't sent twice.
Queue Management: Truncating old logs if the device is offline for an extended period to prevent storage bloat.

去重： 确保同一个位置点不会被重复发送。
队列管理： 若设备长时间离线，截断旧日志以避免存储膨胀。

Guidelines for Responses

响应指南

Prioritize Batched Requests to maximize battery efficiency.
Always include Error Handling for network failures in sync logic.
Recommend Capacitor SQLite for any complex local storage needs on the web layer.
Ensure Data Retention is respected (deleting synced records).

优先采用批量请求以最大化电池效率。
同步逻辑中必须包含针对网络故障的错误处理。
若Web层有复杂本地存储需求，推荐使用Capacitor SQLite。
确保遵守数据保留规则（删除已同步的记录）。