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Agent Skill · 研究检索

how-to-build-a-graph-database-with-flutter(HOW TO 构建 A graph 数据库 with Flutter)

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

how-to-build-a-graph-database-with-flutter 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 43,619。

总安装 973周安装 39GitHub Stars 40下载 315核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:how-to-build-a-graph-database-with-flutter(HOW TO 构建 A graph 数据库 with Flutter)
来源仓库:https://github.com/rodydavis/skills
仓库路径:skills/how-to-build-a-graph-database-with-flutter
安装命令:
npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-database-with-flutter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-database-with-flutter

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。适合分析 schema、编写 SQL、排查查询问题或生成迁移建议。使用时需明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除或更新时应优先 dry-run 或备份。

安装命令:npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-database-with-flutter。适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

来源仓库内路径:skills/how-to-build-a-graph-database-with-flutter

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

how-to-build-a-graph-database-with-flutter 怎么安装?

在终端执行 npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-database-w…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

how-to-build-a-graph-database-with-flutter 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

how-to-build-a-graph-database-with-flutter 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-database-with-flutter 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

how-to-build-a-graph-database-with-flutter 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

how-to-build-a-graph-database-with-flutter 用的人多吗?

公开数据是累计安装 973 次,近一周安装 39 次,下载 315 次,GitHub 40 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

how-to-build-a-graph-database-with-flutter 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
how-to-build-a-graph-database-with-flutter

HOW TO 构建 A graph 数据库 with Flutter · 本页

97340执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

How to build a graph database with Flutter

In this article I will go over how to create and use a graph database with Flutter.

TLDR The final source here and an online demo.

Prerequisites

Flutter installed and setup (Refer to this article if you need help).

Basic knowledge of SQLite.

Basic knowledge of Graph Databases (Refer to this video if you need to learn more).

Overview

First of all, why do we need a graph database when other storage options exist?

Why not use key value stores, document stores, or relational databases?

Well, the answer is that it depends on the problem you are trying to solve.

Graph databases are great for modeling relationships between data.

A couple examples:

  • A social network app can model the relationships between users and posts
  • A game can model the relationships between players and items
  • A blog can model the relationships between posts and comments

The possibilities are endless.

Instead of storing data in a table for each collection we store the data as a graph in a nodes and edges table with some additional extensions in SQLite to make it easier.

Here is a page that goes in to detail about it and showcases what we are trying to build.

Getting Started

First we need to create a new Flutter project.

mkdir flutter_graph_database
cd flutter_graph_database
flutter create .

After the project is created open it in your favorite code editor.

code .

Creating the Database

We are going to use the drift package to create the database.

Update the pubspec.yaml file with the following:

name: flutter_graph_database
description: A new Flutter package project.
version: 0.0.1
publish_to: none

environment:
  sdk: ">=2.19.0-238.0.dev <3.0.0"
  flutter: ">=1.17.0"

dependencies:
  flutter:
    sdk: flutter
  drift: ^2.1.0
  sqlite3_flutter_libs: ^0.5.5
  http: ^0.13.5
  path_provider: ^2.0.0
  path: ^1.8.2
  sqlite3: ^1.7.0

dev_dependencies:
  flutter_test:
    sdk: flutter
  flutter_lints: ^2.0.0
  build_runner: ^2.2.0
  drift_dev: ^2.1.0

flutter:

Database Connection

Next we need to create the database.

Create a new file at lib/database/connection/unsupported.dart and update it with the following:

import 'package:drift/drift.dart';
import 'package:drift/native.dart';

DatabaseConnection connect(
  String dbName, {
  bool useWebWorker = false,
  bool logStatements = false,
}) {
  return DatabaseConnection(NativeDatabase.memory(
    logStatements: logStatements,
  ));
}

Create a new file at lib/database/connection/native.dart and update it with the following:

import 'dart:io';
import 'dart:isolate';

import 'package:drift/drift.dart';
import 'package:drift/isolate.dart';
import 'package:drift/native.dart';
import 'package:path_provider/path_provider.dart';
import 'package:path/path.dart' as p;

DatabaseConnection connect(
  String dbName, {
  bool useWebWorker = false,
  bool logStatements = false,
}) {
  return DatabaseConnection.delayed(Future.sync(() async {
    final appDir = await getApplicationDocumentsDirectory();
    final dbPath = p.join(appDir.path, dbName);

    final receiveDriftIsolate = ReceivePort();
    await Isolate.spawn(_entrypointForDriftIsolate,
        _IsolateStartRequest(receiveDriftIsolate.sendPort, dbPath));

    final driftIsolate = await receiveDriftIsolate.first as DriftIsolate;
    return driftIsolate.connect();
  }));
}

class _IsolateStartRequest {
  final SendPort talkToMain;
  final String databasePath;

  _IsolateStartRequest(this.talkToMain, this.databasePath);
}

void _entrypointForDriftIsolate(_IsolateStartRequest request) {
  final databaseImpl = NativeDatabase(
    File(request.databasePath),
    logStatements: false,
  );

  final driftServer = DriftIsolate.inCurrent(
    () => DatabaseConnection(databaseImpl),
  );

  request.talkToMain.send(driftServer);
}

Create a new file at lib/database/connection/web.dart and update it with the following:

import 'dart:async';

// ignore: avoid_web_libraries_in_flutter
import 'dart:html';

import 'package:drift/drift.dart';
import 'package:drift/remote.dart';
import 'package:drift/web.dart';
import 'package:drift/wasm.dart';
import 'package:http/http.dart' as http;
import 'package:sqlite3/wasm.dart';

DatabaseConnection connect(
  String dbName, {
  bool useWebWorker = false,
  bool logStatements = false,
}) {
  if (useWebWorker) {
    final worker = SharedWorker('shared_worker.dart.js');
    return remote(worker.port!.channel());
  } else {
    return DatabaseConnection.delayed(Future.sync(() async {
      final response = await http.get(Uri.parse('sqlite3.wasm'));
      final fs = await IndexedDbFileSystem.open(dbName: '/db/');
      final path = '/drift/db/$dbName';
      final sqlite3 = await WasmSqlite3.load(
        response.bodyBytes,
        SqliteEnvironment(fileSystem: fs),
      );
      final databaseImpl = WasmDatabase(
        sqlite3: sqlite3,
        path: path,
        fileSystem: fs, // <- this is required but not documented
        logStatements: logStatements,
      );
      return DatabaseConnection(databaseImpl);
    }));
  }
}

Create a new file at lib/database/connection/connection.dart and update it with the following:

export 'unsupported.dart'
    if (dart.library.js) 'web.dart'
    if (dart.library.ffi) 'native.dart';

Database SQL Files

Schema

Create a new file at lib/database/sql/schema.drift and update it with the following:

CREATE TABLE IF NOT EXISTS nodes (
    body TEXT,
    id   TEXT GENERATED ALWAYS AS (json_extract(body, '$.id')) VIRTUAL NOT NULL UNIQUE
);

CREATE INDEX IF NOT EXISTS id_idx ON nodes(id);

CREATE TABLE IF NOT EXISTS edges (
    source     TEXT,
    target     TEXT,
    properties TEXT,
    UNIQUE(source, target, properties) ON CONFLICT REPLACE,
    FOREIGN KEY(source) REFERENCES nodes(id),
    FOREIGN KEY(target) REFERENCES nodes(id)
);

CREATE INDEX IF NOT EXISTS source_idx ON edges(source);
CREATE INDEX IF NOT EXISTS target_idx ON edges(target);
The ID column is a virtual column that is generated from the body column. This is done so that we can query the database by ID without having to parse the JSON body column.
Queries

Create a new file at lib/database/sql/queries.drift and update it with the following:

import 'schema.drift';

getAllNodes:
    SELECT * FROM nodes;
getAllEdges:
    SELECT * FROM edges;
Delete Edge

Create a new file at lib/database/sql/delete-edge.drift and update it with the following:

import 'schema.drift';

deleteEdge:
    DELETE FROM edges
    WHERE source = ? OR target = ?;
Delete Node

Create a new file at lib/database/sql/delete-node.drift and update it with the following:

import 'schema.drift';

deleteNode:
    DELETE FROM nodes
    WHERE id = ?;
Insert Edge

Create a new file at lib/database/sql/insert-edge.drift and update it with the following:

import 'schema.drift';

insertEdge(:source as TEXT, :target as TEXT, :body as TEXT):
    INSERT INTO edges VALUES(:source, :target, json(:body));
Search Edges Inbound

Create a new file at lib/database/sql/search-edges-inbound.drift and update it with the following:

import 'schema.drift';

searchEdgesInbound:
    SELECT * FROM edges
    WHERE source = ?;
Search Edges Outbound

Create a new file at lib/database/sql/search-edges-outbound.drift and update it with the following:

import 'schema.drift';

searchEdgesOutbound:
    SELECT * FROM edges
    WHERE target = ?;
Search Edges

Create a new file at lib/database/sql/search-edges.drift and update it with the following:

import 'schema.drift';

searchEdges:
    SELECT * FROM edges WHERE source = ?
    UNION
    SELECT * FROM edges WHERE target = ?;
Search Node By ID

Create a new file at lib/database/sql/search-node-by-id.drift and update it with the following:

import 'schema.drift';

searchNodeById:
    SELECT body FROM nodes
    WHERE id = ?;
Search Node

Create a new file at lib/database/sql/search-node.drift and update it with the following:

import 'schema.drift';

-- Create a text index of entries, see https://www.sqlite.org/fts5.html#external_content_tables
CREATE VIRTUAL TABLE node_entries USING fts5 (
    body,
    content=nodes,
    content_rowid=id
);

-- Triggers to keep entries and fts5 index in sync.
CREATE TRIGGER nodes_insert AFTER INSERT ON nodes BEGIN
  INSERT INTO node_entries(rowid, body) VALUES (new.id, new.body);
END;

CREATE TRIGGER nodes_delete AFTER DELETE ON nodes BEGIN
  INSERT INTO node_entries(node_entries, rowid, body) VALUES ('delete', old.id, old.body);
END;

CREATE TRIGGER nodes_update AFTER UPDATE ON nodes BEGIN
  INSERT INTO node_entries(node_entries, rowid, body) VALUES ('delete', new.id, new.body);
  INSERT INTO node_entries(rowid, body) VALUES (new.id, new.body);
END;

-- Full text search query.
searchNode: SELECT r.** FROM node_entries
    INNER JOIN nodes r ON r.id = node_entries.rowid
    WHERE node_entries MATCH :query
    ORDER BY rank;
Here we are using the fts5 extension to create a full text search index. This is a very powerful feature that allows us to search for nodes by their body text.
Traverse Inbound

Create a new file at lib/database/sql/traverse-inbound.drift and update it with the following:

import 'schema.drift';

traverseInbound(:source AS TEXT):
  WITH RECURSIVE traverse(id) AS (
  SELECT :source
  UNION
  SELECT source FROM edges JOIN traverse ON target = id
) SELECT id FROM traverse;
Traverse Outbound

Create a new file at lib/database/sql/traverse-outbound.drift and update it with the following:

import 'schema.drift';

traverseOutbound(:source AS TEXT):
  WITH RECURSIVE traverse(id) AS (
  SELECT :source
  UNION
  SELECT target FROM edges JOIN traverse ON source = id
) SELECT id FROM traverse;
Traverse Bodies Inbound

Create a new file at lib/database/sql/traverse-with-bodies-inbound.drift and update it with the following:

import 'schema.drift';

traverseWithBodiesInbound(:source AS TEXT):
  WITH RECURSIVE traverse(x, y, obj) AS (
  SELECT :source, '()', '{}'
  UNION
  SELECT id, '()', body FROM nodes JOIN traverse ON id = x
  UNION
  SELECT source, '<-', properties FROM edges JOIN traverse ON target = x
) SELECT x, y, obj FROM traverse;
Traverse Bodies Outbound

Create a new file at lib/database/sql/traverse-with-bodies-outbound.drift and update it with the following:

import 'schema.drift';

traverseWithBodiesOutbound(:source AS TEXT):
  WITH RECURSIVE traverse(x, y, obj) AS (
  SELECT :source, '()', '{}'
  UNION
  SELECT id, '()', body FROM nodes JOIN traverse ON id = x
  UNION
  SELECT target, '->', properties FROM edges JOIN traverse ON source = x
) SELECT x, y, obj FROM traverse;
Traverse Bodies

Create a new file at lib/database/sql/traverse-bodies.drift and update it with the following:

import 'schema.drift';

traverseWithBodies(:source AS TEXT):
  WITH RECURSIVE traverse(x, y, obj) AS (
  SELECT :source, '()', '{}'
  UNION
  SELECT id, '()', body FROM nodes JOIN traverse ON id = x
  UNION
  SELECT source, '<-', properties FROM edges JOIN traverse ON target = x
  UNION
  SELECT target, '->', properties FROM edges JOIN traverse ON source = x
) SELECT x, y, obj FROM traverse;
Traverse

Create a new file at lib/database/sql/traverse.drift and update it with the following:

import 'schema.drift';

traverse(:source AS TEXT):
  WITH RECURSIVE traverse(id) AS (
  SELECT :source
  UNION
  SELECT source FROM edges JOIN traverse ON target = id
  UNION
  SELECT target FROM edges JOIN traverse ON source = id
) SELECT id FROM traverse;
Update Node

Create a new file at lib/database/sql/update-node.drift and update it with the following:

import 'schema.drift';

updateNode:
    UPDATE nodes SET body = json(?)
    WHERE id = ?;

Database Setup

Create a new file at lib/database/database.dart and update it with the following:

import 'dart:convert';

import 'package:drift/drift.dart';
import 'package:flutter/foundation.dart';

import 'connection/connection.dart' as impl;

part 'database.g.dart';

@DriftDatabase(include: {
  'sql/schema.drift',
  'sql/queries.drift',
  'sql/delete-edge.drift',
  'sql/delete-node.drift',
  'sql/insert-edge.drift',
  'sql/insert-node.drift',
  'sql/search-edges-inbound.drift',
  'sql/search-edges-outbound.drift',
  'sql/search-edges.drift',
  'sql/search-node-by-id.drift',
  'sql/search-node.drift',
  'sql/traverse-inbound.drift',
  'sql/traverse-outbound.drift',
  'sql/traverse-with-bodies-inbound.drift',
  'sql/traverse-with-bodies-outbound.drift',
  'sql/traverse-with-bodies.drift',
  'sql/traverse.drift',
  'sql/update-node.drift',
})
class GraphDatabase extends _$GraphDatabase {
  GraphDatabase({
    String dbName = 'graph_db.db',
    DatabaseConnection? connection,
    bool useWebWorker = false,
    bool logStatements = false,
  }) : super.connect(
          connection ??
              impl.connect(
                dbName,
                useWebWorker: useWebWorker,
                logStatements: logStatements,
              ),
        );

  @override
  int get schemaVersion => 1;

  /// Helper method to add graph data from json
  Future<void> addGraphData(
    Map<String, dynamic> data, {
    bool shouldBatch = false,
  }) {
    return transaction(() async {
      try {
        final localNodes = data['nodes'] as List<dynamic>;
        final localEdges = data['edges'] as List<dynamic>;
        // Update nodes
        for (final node in localNodes) {
          final id = node['id'] as String?;
          if (id != null) {
            final current = await searchNodeById(id).getSingleOrNull();
            final body = jsonEncode(node);
            if (current != null) {
              await updateNode(id, body);
            } else {
              await insertNode(body);
            }
          }
        }
        // Update edges
        for (final edge in localEdges) {
          final source = edge['from'] ?? edge['source'] as String?;
          final target = edge['to'] ?? edge['target'] as String?;
          if (source != null && target != null) {
            final body = jsonEncode(edge);
            await insertEdge(source, target, body);
          }
        }
      } catch (e) {
        debugPrint('Error adding graph data: $e');
      }
    });
  }

  Future<void> deleteAll() {
    return transaction(() async {
      try {
        await deleteAllEdges();
        await deleteAllNodes();
      } catch (e) {
        debugPrint('Error clearing graph data: $e');
      }
    });
  }

  Future<void> deleteAllEdges() {
    return transaction(() async {
      final edges = await getAllEdges().get();
      for (final edge in edges) {
        await deleteEdge(edge.source, edge.target);
      }
    });
  }

  Future<void> deleteAllNodes() {
    return transaction(() async {
      final nodes = await getAllNodes().get();
      for (final node in nodes) {
        await deleteNode(node.id);
      }
    });
  }
}

Create a new file at build.yaml and update it with the following:

targets:
  $default:
    sources:
      - lib/**
      - web/**
      - "tool/**"
      - pubspec.yaml
      - lib/$lib$
      - $package$
    builders:
      drift_dev:
        options:
          sql:
            dialect: sqlite
            options:
              version: "3.38"
              modules:
                - json1
                - fts5
          generate_connect_constructor: true
          apply_converters_on_variables: true
          generate_values_in_copy_with: true
          scoped_dart_components: true

Now run the following command to generate the database files:

flutter pub run build_runner build --delete-conflicting-outputs

Connecting to the Database

Add a new dependency to your pubspec.yaml file:

flutter pub add graphview

This will be used for the graph visualization.

Create a new file at lib/main.dart and update it with the following:

import 'dart:convert';

import 'package:flutter/material.dart';
import 'package:flutter_graph_database/flutter_graph_database.dart' as db;
import 'package:graphview/GraphView.dart';

void main() {
  runApp(const MyApp());
}

class MyApp extends StatelessWidget {
  const MyApp({super.key});

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter Graph Database',
      debugShowCheckedModeBanner: false,
      theme: ThemeData.dark(),
      home: const Example(),
    );
  }
}

class Example extends StatefulWidget {
  const Example({Key? key}) : super(key: key);

  @override
  State<Example> createState() => _ExampleState();
}

class _ExampleState extends State<Example> {
  final database = db.GraphDatabase();
  Graph graph = Graph();
  Algorithm builder = FruchtermanReingoldAlgorithm();

  final nodes = <String, db.Node>{};
  bool loaded = false;

  @override
  void initState() {
    super.initState();
    WidgetsBinding.instance.addPostFrameCallback((_) => loadData());
  }

  @override
  void reassemble() {
    super.reassemble();
    // Needed to reset graph on hot reload
    loadData();
  }

  void setLoadedState(bool value) {
    if (mounted) {
      setState(() {
        loaded = value;
      });
    }
  }

  Future<void> addDummyData() async {
    // Load example data
    try {
      // Optionally reset data
      await database.deleteAll();
      // Add example data to database
      await database.addGraphData({
        "nodes": [
          {"id": '1', "label": 'circle'},
          {"id": '2', "label": 'ellipse'},
          {"id": '3', "label": 'database'},
          {"id": '4', "label": 'box'},
          {"id": '5', "label": 'diamond'},
          {"id": '6', "label": 'dot'},
          {"id": '7', "label": 'square'},
          {"id": '8', "label": 'triangle'},
          {"id": '9', "label": "star"},
        ],
        "edges": [
          {"from": '1', "to": '2'},
          {"from": '2', "to": '3'},
          {"from": '2', "to": '4'},
          {"from": '2', "to": '5'},
          {"from": '5', "to": '6'},
          {"from": '5', "to": '7'},
          {"from": '6', "to": '8'},
          {"from": '2', "to": '8'},
          {"from": '1', "to": '8'},
          {"from": '1', "to": '7'},
          {"from": '1', "to": '6'},
          {"from": '1', "to": '5'},
          {"from": '1', "to": '4'},
          {"from": '1', "to": '3'},
          {"from": '1', "to": '9'},
          {"from": '9', "to": '8'},
          {"from": '9', "to": '5'},
          {"from": '9', "to": '3'},
        ]
      });
      loadData();
    } catch (e) {
      debugPrint('Error loading example data: $e');
    }
  }

  Future<void> loadData() async {
    setLoadedState(false);

    final nodeMap = <String, Node>{};
    this.nodes.clear();
    graph = Graph();
    builder = FruchtermanReingoldAlgorithm();

    // Load graph data
    final nodes = await database.getAllNodes().get();
    final edges = await database.getAllEdges().get();

    for (final node in nodes) {
      final newNode = Node.Id(node.id);
      nodeMap[node.id] = newNode;
      this.nodes[node.id] = node;
      graph.addNode(newNode);
    }
    for (final edge in edges) {
      final source = nodeMap[edge.source];
      final target = nodeMap[edge.target];
      if (source != null && target != null) {
        graph.addEdge(source, target);
      }
    }

    setLoadedState(true);
  }

  Widget buildNode(Node node) {
    final dbNode = nodes[node.key!.value];
    final data = jsonDecode(dbNode?.body ?? '{}') as Map<String, dynamic>;
    final label = data['label'] ?? '';
    return SizedBox(
      width: 80,
      height: 80,
      child: Center(
        child: Text(
          label,
          textAlign: TextAlign.center,
        ),
      ),
    );
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: const Text('Flutter Graph Database'),
        actions: [
          IconButton(
            icon: const Icon(Icons.restore),
            onPressed: addDummyData,
          ),
        ],
      ),
      body: !loaded
          ? const Center(child: CircularProgressIndicator())
          : nodes.isEmpty
              ? const Center(child: Text('No Data Loaded'))
              : LayoutBuilder(builder: (context, dimens) {
                  return SizedBox.expand(
                    child: InteractiveViewer(
                      constrained: false,
                      boundaryMargin: EdgeInsets.symmetric(
                        horizontal: dimens.maxWidth * 0.75,
                        vertical: dimens.maxHeight * 0.75,
                      ),
                      minScale: 0.01,
                      maxScale: 5.6,
                      child: GraphView(
                        key: UniqueKey(),
                        graph: graph,
                        algorithm: builder,
                        paint: Paint()
                          ..color = Colors.green
                          ..strokeWidth = 1
                          ..style = PaintingStyle.stroke,
                        builder: buildNode,
                      ),
                    ),
                  );
                }),
    );
  }
}

When you run the flutter app you should see the following:

![](/api/image-proxy?url=https%3A%2F%2Frodydavis.com%2F_%2F..%2Fapi%2Ffiles%2Fpbc_2708086759%2Fbr82944o71nzm81%2Fgraph_flutter_final_yikh8roctq.webp%3Fthumb%3D&s=6b9713905b10639a)

Conclusion

If you want to learn more about building a graph database in Flutter, check out the source code.

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执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/rodydavis/skills --skill how-to-build-a-graph-database-with-flutter 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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