搜尋套件、儲存庫與 APP 分類

套件詳情v2.1.0

brick_offline_first_with_supabase

一個 Brick 領域,它透過本地提供者在 Supabase 提供者之前路由資料取得。

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近 30 天下載
2030
喜歡數
27
Pub 分數
160

安裝套件

flutter pub add brick_offline_first_with_supabase

套件介紹

根據套件公開資料產生的選型評估,僅供參考。

一個 Flutter 套件,使用 Brick 實現離線優先的資料策略,將資料請求透過本機儲存提供者導向 Supabase。即使沒有網路連接,也能確保無縫的使用者體驗,優先使用快取資料,並在可用時與 Supabase 同步。它可與 Supabase 的 PostgreSQL 資料庫順暢整合,實現跨平台的持久性、即時資料處理。

適用情境

  • 離線優先的移動應用
  • 與 Supabase 即時資料同步
  • 跨平台資料持久化
  • 需要可靠本地資料存取的應用程式
  • 網路中斷時的無縫回退

主要特色

  • 本地優先的資料路由
  • Supabase 結合
  • 連接時自動同步
  • 持久化 SQL 儲存
  • 跨平台支援
  • 內建快取層

適合對象

  • 開發具彈性應用程式的開發者
  • 使用 Supabase 作為後端的團隊
  • 需要離線功能的項目
  • Flutter 應用針對多個平台
  • 需要即時資料更新的應用程式

使用建議

  • 需要理解積木架構
  • 需要 Supabase 帳戶才能實現完整功能
  • 同步邏輯的額外設定
  • 由於本機儲存,應用程式大小可能會增加
  • 網路狀態處理對於最佳同步至關重要

原始 README

以下為關聯原始碼儲存庫的 README 原文快照,最新內容請造訪原始碼儲存庫。

An intuitive way to work with persistent data

An intuitive way to work with persistent data in Dart.

Full documentation

Why Brick?

What is Brick?

Brick is an extensible query interface for Dart applications. It's an all-in-one solution responsible for representing business data in the application, regardless of where your data comes from. Using Brick, developers can focus on implementing the application, without concern for where the data lives. Brick was inspired by the need for applications to work offline first, even if an API represents your source of truth.

Quick Start

  1. Add the packages:

    dependencies:
      # Or brick_offline_first_with_graphql
      # Or brick_offline_first_with_supabase
      brick_offline_first_with_rest:
      sqflite: # optional
    dev_dependencies:
      # Or brick_offline_first_with_graphql_build: any
      # Or brick_offline_first_with_supabase_build: any
      brick_offline_first_with_rest_build:
      build_runner:
    
  2. Configure your app directory structure to match Brick's expectations:

    mkdir -p lib/brick/adapters lib/brick/db;
    
  3. Add models that contain your app logic. Models must be saved with the .model.dart suffix (i.e. lib/brick/models/person.model.dart).

  4. Run dart run build_runner build to generate your models and sometimes migrations. Rerun after every new model change or dart run build_runner watch for automatic generations. You'll need to run this again after your first migration.

  5. Extend an existing repository or create your own (Supabase has some exceptions):

    // lib/brick/repository.dart
    import 'package:brick_offline_first_with_rest/brick_offline_first_with_rest.dart';
    import 'package:brick_rest/brick_rest.dart';
    import 'package:brick_sqlite/brick_sqlite.dart';
    import 'package:my_app/brick/brick.g.dart';
    import 'package:sqflite/sqflite.dart' show databaseFactory;
    import 'package:my_app/brick/db/schema.g.dart';
    export 'package:brick_core/query.dart' show And, Or, Query, QueryAction, Where, WherePhrase;
    
    class Repository extends OfflineFirstWithRestRepository {
      Repository()
          : super(
              migrations: migrations,
              restProvider: RestProvider(
                'http://0.0.0.0:3000',
                modelDictionary: restModelDictionary,
              ),
              sqliteProvider: SqliteProvider(
                _DB_NAME,
                databaseFactory: databaseFactory,
                modelDictionary: sqliteModelDictionary,
              ),
              offlineQueueManager: RestRequestSqliteCacheManager(
                'brick_offline_queue.sqlite',
                databaseFactory: databaseFactory,
              ),
            );
    }
    
  6. Profit.

Usage

Create a model as the app's business logic:

// brick/models/user.dart
@ConnectOfflineFirstWithRest()
class User extends OfflineFirstWithRestModel {}

And generate (de)serializing code to fetch to and from multiple providers:

$ (flutter) pub run build_runner build
Fetching Data

A repository fetches and returns data across multiple providers. It's the single access point for data in your app:

class MyRepository extends OfflineFirstWithRestRepository {
  MyRepository();
}

final repository = MyRepository();

// Now the models can be queried:
final users = await repository.get<User>();

Behind the scenes, this repository could poll a memory cache, then SQLite, then a REST API. The repository intelligently determines how and when to use each of the providers to return the fastest, most reliable data.

// Queries can be general:
final query = Query(where: [Where('lastName').contains('Muster')]);
final users = await repository.get<User>(query: query);

// Or singular:
final query = Query.where('email', 'user@example.com', limit1: true);
final user = await repository.get<User>(query: query);

Queries can also receive reactive updates. The subscribed stream receives all models from its query whenever the local copy is updated (e.g. when the data is hydrated in another part of the app):

final users = repository.subscribe<User>().listen((users) {})
Mutating Data

Once a model has been created, it's sent to the repository and back out to each provider:

final user = User();
await repository.upsert<User>(user);
Associating Data

Repositories can support associations and automatic (de)serialization of child models.

class Hat extends OfflineFirstWithRestModel {
  final String color;
  Hat({this.color});
}
class User extends OfflineFirstWithRestModel {
  // user has many hats
  final List<Hat> hats;
}

final query = Query.where('hats', Where('color').isExactly('brown'));
final usersWithBrownHats = repository.get<User>(query: query);

Brick natively serializes primitives, associations, and more.

If it's still murky, check out Learn for videos, tutorials, and examples that break down Brick.

所屬分類

依賴

依賴清單 10 項

原始碼儲存庫

使用此套件的專案

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