Flutter跨平台照片搜索库desktop_photo_search鸿蒙化使用指南
摘要:desktop_photo_search是一款基于Flutter的跨平台桌面照片搜索应用,专为鸿蒙系统优化设计。该应用集成Unsplash API,提供高质量照片搜索功能,支持按关键词、方向、颜色等多条件筛选。具备Material Design和Fluent UI双界面风格,包含本地下载、丰富数据模型等特性。开发需配置OpenHarmony SDK 9+、Flutter 3.7.0+环境,通

1. 插件介绍
desktop_photo_search 是一个功能强大的 Flutter 桌面照片搜索应用,专为鸿蒙跨平台开发设计。该应用通过集成 Unsplash API,为开发者提供了完整的高质量照片搜索解决方案。经过鸿蒙化适配后,该库可以在 OpenHarmony 平台上无缝运行,支持 Windows、macOS、Linux 等多个桌面平台。
核心功能特性
- 高质量照片搜索:通过 Unsplash API 搜索数百万张免费高质量照片
- 双重界面风格:同时提供 Material Design 和 Fluent UI 两种界面实现
- 灵活搜索参数:支持按关键词、方向、颜色等多种条件筛选照片
- 本地下载功能:支持将照片保存到本地文件系统
- 完整数据模型:包含照片信息、用户信息、位置信息等丰富的数据结构
- 鸿蒙深度适配:针对 OpenHarmony API 9+ 进行了专项优化
技术架构
该应用采用了现代化的 Flutter 技术栈:
- 状态管理:基于 Provider 实现响应式状态管理
- 网络请求:使用 http 包与 Unsplash API 通信
- 本地存储:通过 file_selector 实现跨平台文件操作
- UI 框架:支持 Material 和 Fluent UI 两种设计语言
- 数据序列化:使用 built_value 进行类型安全的数据序列化
2. 环境要求
在开始使用 desktop_photo_search 之前,请确保您的开发环境满足以下要求:
- OpenHarmony SDK:API Version 9 及以上版本
- Flutter SDK:3.7.0 及以上版本,推荐使用 3.13.0 以上版本以获得更好的鸿蒙支持
- Dart SDK:3.1.0 及以上版本
- 开发工具:DevEco Studio 4.0 及以上版本,或 VS Code + OpenHarmony 插件
开发环境验证
在开始开发之前,建议您验证开发环境是否正确配置。运行以下命令来检查环境状态:
# 检查 Flutter 版本
flutter --version
# 检查 OpenHarmony 设备连接
hdc list targets
# 创建新的鸿蒙项目
flutter create --platforms ohos my_photo_app
3. 安装与配置
3.1 创建鸿蒙项目
首先,创建一个新的 Flutter 鸿蒙项目作为照片搜索应用的基础:
flutter create --platforms ohos desktop_photo_search_demo
cd desktop_photo_search_demo
3.2 添加依赖配置
在项目的 pubspec.yaml 文件中添加 desktop_photo_search 及相关依赖。由于这是一个自定义修改版本的库,需要通过 Git 形式引入:
# pubspec.yaml
name: desktop_photo_search_demo
description: A Flutter photo search application for OpenHarmony.
version: 1.0.0+1
environment:
sdk: ^3.1.0
flutter: ^3.13.0
dependencies:
flutter:
sdk: flutter
# 照片搜索核心库
desktop_photo_search:
git:
url: "https://atomgit.com/your-org/desktop_photo_search"
path: "material"
# 必要的依赖包
http: ^1.1.0
provider: ^6.0.5
transparent_image: ^2.0.1
url_launcher: ^6.1.12
uuid: ^4.0.0
# 界面风格相关
cupertino_icons: ^1.0.5
dev_dependencies:
flutter_test:
sdk: flutter
flutter_lints: ^2.0.0
flutter:
uses-material-design: true
3.3 安装依赖
执行以下命令安装所有依赖包:
flutter pub get
如果遇到依赖冲突或版本问题,可以尝试使用以下命令:
flutter pub upgrade --major-versions
flutter pub get
3.4 配置 Unsplash API 访问密钥
要使用 desktop_photo_search 的照片搜索功能,您需要从 Unsplash 获取 API 访问密钥:
步骤 1:注册 Unsplash 开发者账号
- 访问 Unsplash 开发者平台
- 点击 “Your Apps” 菜单
- 点击 “New Application” 按钮创建新应用
步骤 2:获取 API 密钥
创建应用后,在应用详情页面找到 Access Key,这是调用 API 所需的认证凭证。请妥善保管此密钥,不要将其上传到公开的代码仓库。
步骤 3:配置密钥文件
在项目的 lib 目录下创建 unsplash_access_key.dart 文件:
// lib/unsplash_access_key.dart
const String unsplashAccessKey = 'YOUR_UNSPLASH_ACCESS_KEY';
将 YOUR_UNSPLASH_ACCESS_KEY 替换为您从 Unsplash 获取的实际访问密钥。
3.5 安全提示
为了保护您的 API 密钥,建议将密钥文件添加到 .gitignore 文件中:
# .gitignore
lib/unsplash_access_key.dart
*.keystore
*.jks
*.apk
*.aab
4. API 使用详解
4.1 初始化 Unsplash 客户端
在应用启动时,首先需要初始化 Unsplash API 客户端。以下是完整的初始化代码:
import 'package:desktop_photo_search/src/unsplash/unsplash.dart';
import 'unsplash_access_key.dart';
class PhotoService {
late final Unsplash _unsplash;
PhotoService() {
_initClient();
}
void _initClient() {
_unsplash = Unsplash(
accessKey: unsplashAccessKey,
timeout: Duration(seconds: 30),
);
}
Unsplash get client => _unsplash;
}
4.2 照片搜索功能
使用 Unsplash 客户端进行照片搜索,支持多种搜索参数:
import 'package:desktop_photo_search/src/unsplash/unsplash.dart';
import 'package:desktop_photo_search/src/unsplash/photo.dart';
import 'package:desktop_photo_search/src/unsplash/search_photos_response.dart';
class PhotoSearchService {
final Unsplash _unsplash;
PhotoSearchService(this._unsplash);
Future<List<Photo>> searchPhotos({
required String query,
int page = 1,
int perPage = 15,
SearchPhotosOrientation? orientation,
String? color,
String? locale,
}) async {
try {
final response = await _unsplash.searchPhotos(
query: query,
page: page,
perPage: perPage,
orientation: orientation,
color: color,
locale: locale,
);
if (response != null && response.results != null) {
return response.results!;
}
return [];
} catch (e) {
print('搜索照片时发生错误: $e');
return [];
}
}
Future<List<Photo>> searchNaturePhotos() async {
return searchPhotos(
query: 'nature',
perPage: 20,
orientation: SearchPhotosOrientation.landscape,
);
}
Future<List<Photo>> searchArchitecturePhotos() async {
return searchPhotos(
query: 'architecture',
perPage: 20,
orientation: SearchPhotosOrientation.portrait,
);
}
}
4.3 处理搜索结果
Unsplash API 返回的搜索结果包含丰富的照片信息,以下是处理结果的示例代码:
void processSearchResults(List<Photo> photos) {
for (final photo in photos) {
// 获取照片基本信息
final String id = photo.id;
final String? description = photo.description;
final String? altDescription = photo.altDescription;
// 获取照片尺寸
final int width = photo.width ?? 0;
final int height = photo.height ?? 0;
// 获取照片 URL
final String regularUrl = photo.urls?.regular ?? '';
final String thumbUrl = photo.urls?.thumb ?? '';
final String fullUrl = photo.urls?.full ?? '';
// 获取用户信息
final String? userName = photo.user?.name;
final String? userLink = photo.user?.links?.html;
// 获取统计信息
final int likes = photo.likes ?? 0;
final int? downloads = photo.downloads;
// 获取位置信息
final double? latitude = photo.location?.position?.latitude;
final double? longitude = photo.location?.position?.longitude;
final String? locationName = photo.location?.name;
// 打印照片信息
print('=' * 50);
print('照片 ID: $id');
print('描述: ${description ?? altDescription ?? "无描述"}');
print('尺寸: ${width}x${height}');
print('点赞数: $likes');
print('下载数: ${downloads ?? "未知"}');
print('用户: $userName');
if (locationName != null) {
print('位置: $locationName ($latitude, $longitude)');
}
print('URL: $regularUrl');
print('=' * 50);
}
}
4.4 照片下载功能
将搜索到的照片下载到本地存储:
import 'dart:io';
import 'dart:typed_data';
import 'package:path_provider/path_provider.dart';
import 'package:file_selector/file_selector.dart';
import 'package:desktop_photo_search/src/unsplash/photo.dart';
import 'package:desktop_photo_search/src/unsplash/unsplash.dart';
class PhotoDownloadService {
final Unsplash _unsplash;
final String _defaultSavePath;
PhotoDownloadService(this._unsplash, {String? savePath})
: _defaultSavePath = savePath ?? '';
Future<String?> downloadPhoto(Photo photo, {String? savePath}) async {
try {
// 获取照片数据
final Uint8List imageBytes = await _unsplash.download(photo);
// 确定保存路径
final String filePath = savePath ?? await _getSavePath(photo);
if (filePath.isEmpty) {
print('用户取消了保存操作');
return null;
}
// 保存文件
final File file = File(filePath);
await file.writeAsBytes(imageBytes);
print('照片已成功保存到: $filePath');
return filePath;
} catch (e) {
print('下载照片时发生错误: $e');
return null;
}
}
Future<String> _getSavePath(Photo photo) async {
final String extension = _getFileExtension(photo.urls?.regular ?? 'jpg');
final String fileName = '${photo.id}.$extension';
final String? path = await getSavePath(
suggestedName: fileName,
acceptedTypeGroups: [
XTypeGroup(
label: 'Images',
extensions: ['jpg', 'jpeg', 'png', 'webp'],
mimeTypes: ['image/jpeg', 'image/png', 'image/webp'],
),
],
);
return path ?? '';
}
String _getFileExtension(String url) {
final uri = Uri.parse(url);
final path = uri.path;
final extension = path.split('.').last.toLowerCase();
return ['jpg', 'jpeg', 'png', 'webp'].contains(extension) ? extension : 'jpg';
}
Future<String> _getDefaultDownloadDirectory() async {
if (Platform.isWindows) {
return '${Platform.environment['USERPROFILE']}\\Downloads';
} else if (Platform.isMacOS) {
return '${Platform.environment['HOME']}/Downloads';
} else {
final directory = await getDownloadsDirectory();
return directory?.path ?? '/tmp';
}
}
}
4.5 批量下载功能
支持批量下载多张照片到指定目录:
class BatchDownloadService {
final PhotoDownloadService _downloadService;
final String _downloadDirectory;
BatchDownloadService(this._downloadService, {String? directory})
: _downloadDirectory = directory ?? '';
Future<DownloadResult> downloadMultiplePhotos(
List<Photo> photos, {
bool skipExisting = true,
void Function(int, int, Photo)? onProgress,
}) async {
final results = DownloadResult();
final total = photos.length;
for (int i = 0; i < total; i++) {
final photo = photos[i];
final fileName = '${photo.id}.jpg';
final filePath = '$_downloadDirectory/$fileName';
// 检查文件是否已存在
if (skipExisting && await File(filePath).exists()) {
results.skipped++;
onProgress?.call(i + 1, total, photo);
continue;
}
// 下载照片
final result = await _downloadService.downloadPhoto(
photo,
savePath: filePath,
);
if (result != null) {
results.success++;
} else {
results.failed++;
}
onProgress?.call(i + 1, total, photo);
}
return results;
}
}
class DownloadResult {
int success = 0;
int failed = 0;
int skipped = 0;
String toString() {
return '下载完成 - 成功: $success, 失败: $failed, 跳过: $skipped';
}
}
5. 界面实现示例
5.1 Material Design 风格界面
使用 Material Design 风格构建照片搜索界面:
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import 'src/model/photo_search_model.dart';
import 'src/widgets/photo_search_content.dart';
void main() {
runApp(
MultiProvider(
providers: [
ChangeNotifierProvider(
create: (_) => PhotoSearchModel(),
),
],
child: const PhotoSearchApp(),
),
);
}
class PhotoSearchApp extends StatelessWidget {
const PhotoSearchApp({super.key});
Widget build(BuildContext context) {
return MaterialApp(
title: '照片搜索',
theme: ThemeData(
primarySwatch: Colors.blue,
useMaterial3: true,
),
home: const HomePage(),
);
}
}
class HomePage extends StatefulWidget {
const HomePage({super.key});
State<HomePage> createState() => _HomePageState();
}
class _HomePageState extends State<HomePage> {
final TextEditingController _searchController = TextEditingController();
void dispose() {
_searchController.dispose();
super.dispose();
}
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: const Text('照片搜索'),
actions: [
IconButton(
icon: const Icon(Icons.info_outline),
onPressed: () => _showUnsplashNotice(context),
),
],
),
body: Column(
children: [
_buildSearchBar(context),
const Expanded(
child: PhotoSearchContent(),
),
],
),
);
}
Widget _buildSearchBar(BuildContext context) {
return Padding(
padding: const EdgeInsets.all(16.0),
child: Row(
children: [
Expanded(
child: TextField(
controller: _searchController,
decoration: const InputDecoration(
hintText: '搜索照片...',
prefixIcon: Icon(Icons.search),
border: OutlineInputBorder(),
),
onSubmitted: (query) {
if (query.isNotEmpty) {
context.read<PhotoSearchModel>().search(query);
}
},
),
),
const SizedBox(width: 8),
ElevatedButton.icon(
onPressed: () {
final query = _searchController.text;
if (query.isNotEmpty) {
context.read<PhotoSearchModel>().search(query);
}
},
icon: const Icon(Icons.search),
label: const Text('搜索'),
),
],
),
);
}
void _showUnsplashNotice(BuildContext context) {
showDialog(
context: context,
builder: (context) => AlertDialog(
title: const Text('关于照片来源'),
content: const Text(
'照片由 Unsplash 提供。'
'请遵守 Unsplash 的使用条款。'
'下载的照片仅限个人使用。',
),
actions: [
TextButton(
onPressed: () => Navigator.pop(context),
child: const Text('确定'),
),
],
),
);
}
}
5.2 照片网格展示组件
使用网格布局展示搜索结果照片:
import 'package:flutter/material.dart';
import 'package:transparent_image/transparent_image.dart';
import 'src/unsplash/photo.dart';
class PhotoGrid extends StatelessWidget {
final List<Photo> photos;
final void Function(Photo) onPhotoTap;
final void Function(Photo) onDownloadTap;
const PhotoGrid({
super.key,
required this.photos,
required this.onPhotoTap,
required this.onDownloadTap,
});
Widget build(BuildContext context) {
if (photos.isEmpty) {
return const Center(
child: Text('暂无搜索结果'),
);
}
return GridView.builder(
padding: const EdgeInsets.all(8),
gridDelegate: const SliverGridDelegateWithFixedCrossAxisCount(
crossAxisCount: 3,
crossAxisSpacing: 8,
mainAxisSpacing: 8,
childAspectRatio: 0.75,
),
itemCount: photos.length,
itemBuilder: (context, index) {
final photo = photos[index];
return _buildPhotoCard(context, photo);
},
);
}
Widget _buildPhotoCard(BuildContext context, Photo photo) {
final String imageUrl = photo.urls?.regular ?? '';
final String thumbUrl = photo.urls?.thumb ?? '';
return Card(
clipBehavior: Clip.antiAlias,
child: Stack(
fit: StackFit.expand,
children: [
// 加载缩略图
FadeInImage.memoryNetwork(
placeholder: kTransparentImage,
image: thumbUrl,
fit: BoxFit.cover,
),
// 加载完成后显示高清图
Image.network(
imageUrl,
fit: BoxFit.cover,
loadingBuilder: (context, child, progress) {
if (progress == null) return child;
return const Center(
child: CircularProgressIndicator(),
);
},
),
// 照片信息覆盖层
Positioned(
left: 0,
right: 0,
bottom: 0,
child: Container(
padding: const EdgeInsets.all(8),
decoration: const BoxDecoration(
gradient: LinearGradient(
begin: Alignment.bottomCenter,
end: Alignment.topCenter,
colors: [Colors.black87, Colors.transparent],
),
),
child: Row(
mainAxisAlignment: MainAxisAlignment.spaceBetween,
children: [
Expanded(
child: Text(
photo.user?.name ?? 'Unknown',
style: const TextStyle(
color: Colors.white,
fontSize: 12,
),
overflow: TextOverflow.ellipsis,
),
),
Row(
mainAxisSize: MainAxisSize.min,
children: [
IconButton(
icon: const Icon(
Icons.download,
color: Colors.white,
size: 20,
),
onPressed: () => onDownloadTap(photo),
),
IconButton(
icon: const Icon(
Icons.visibility,
color: Colors.white,
size: 20,
),
onPressed: () => onPhotoTap(photo),
),
],
),
],
),
),
),
],
),
);
}
}
6. 完整应用示例
以下是一个完整的应用示例,展示了如何整合所有功能:
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import 'package:desktop_photo_search/material/lib/src/model/photo_search_model.dart';
import 'package:desktop_photo_search/material/lib/src/unsplash/photo.dart';
import 'package:desktop_photo_search/material/lib/src/unsplash/unsplash.dart';
import 'unsplash_access_key.dart';
void main() {
runApp(
MultiProvider(
providers: [
ChangeNotifierProvider(
create: (_) => PhotoSearchModel(),
),
],
child: const MyPhotoApp(),
),
);
}
class MyPhotoApp extends StatelessWidget {
const MyPhotoApp({super.key});
Widget build(BuildContext context) {
return MaterialApp(
title: 'Flutter 照片搜索',
theme: ThemeData(
colorSchemeSeed: Colors.blue,
useMaterial3: true,
),
home: const PhotoSearchHomePage(),
);
}
}
class PhotoSearchHomePage extends StatefulWidget {
const PhotoSearchHomePage({super.key});
State<PhotoSearchHomePage> createState() => _PhotoSearchHomePageState();
}
class _PhotoSearchHomePageState extends State<PhotoSearchHomePage> {
final TextEditingController _searchController = TextEditingController();
final Unsplash _unsplash = Unsplash(accessKey: unsplashAccessKey);
void dispose() {
_searchController.dispose();
super.dispose();
}
Widget build(BuildContext context) {
final model = context.watch<PhotoSearchModel>();
return Scaffold(
appBar: AppBar(
title: const Text('照片搜索'),
actions: [
IconButton(
icon: const Icon(Icons.info),
onPressed: () => _showInfoDialog(context),
),
],
),
body: Column(
children: [
_buildSearchSection(context, model),
Expanded(
child: _buildResultsSection(context, model),
),
],
),
);
}
Widget _buildSearchSection(BuildContext context, PhotoSearchModel model) {
return Padding(
padding: const EdgeInsets.all(16),
child: Row(
children: [
Expanded(
child: TextField(
controller: _searchController,
decoration: const InputDecoration(
labelText: '搜索照片',
hintText: '输入关键词,如:nature, architecture...',
prefixIcon: Icon(Icons.search),
border: OutlineInputBorder(),
),
onSubmitted: (value) => _performSearch(context, model, value),
),
),
const SizedBox(width: 12),
ElevatedButton.icon(
onPressed: model.isLoading
? null
: () => _performSearch(context, model, _searchController.text),
icon: model.isLoading
? const SizedBox(
width: 20,
height: 20,
child: CircularProgressIndicator(strokeWidth: 2),
)
: const Icon(Icons.search),
label: const Text('搜索'),
),
],
),
);
}
Widget _buildResultsSection(BuildContext context, PhotoSearchModel model) {
if (model.isLoading) {
return const Center(child: CircularProgressIndicator());
}
if (model.hasError) {
return Center(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
const Icon(Icons.error_outline, size: 64, color: Colors.red),
const SizedBox(height: 16),
Text('搜索失败: ${model.errorMessage}'),
const SizedBox(height: 16),
ElevatedButton(
onPressed: () => _performSearch(context, model, _searchController.text),
child: const Text('重试'),
),
],
),
);
}
if (model.photos.isEmpty) {
return const Center(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Icon(Icons.photo_library_outlined, size: 64, color: Colors.grey),
SizedBox(height: 16),
Text('输入关键词开始搜索照片'),
],
),
);
}
return GridView.builder(
padding: const EdgeInsets.all(8),
gridDelegate: const SliverGridDelegateWithFixedCrossAxisCount(
crossAxisCount: 2,
crossAxisSpacing: 8,
mainAxisSpacing: 8,
childAspectRatio: 0.8,
),
itemCount: model.photos.length,
itemBuilder: (context, index) {
final photo = model.photos[index];
return _buildPhotoCard(context, photo);
},
);
}
Widget _buildPhotoCard(BuildContext context, Photo photo) {
return GestureDetector(
onTap: () => _showPhotoDetail(context, photo),
child: Card(
clipBehavior: Clip.antiAlias,
child: Stack(
fit: StackFit.expand,
children: [
Image.network(
photo.urls?.regular ?? '',
fit: BoxFit.cover,
loadingBuilder: (context, child, loadingProgress) {
if (loadingProgress == null) return child;
return const Center(child: CircularProgressIndicator());
},
errorBuilder: (context, error, stackTrace) {
return const Center(
child: Icon(Icons.broken_image, color: Colors.grey),
);
},
),
Positioned(
left: 0,
right: 0,
bottom: 0,
child: Container(
padding: const EdgeInsets.all(8),
decoration: BoxDecoration(
gradient: LinearGradient(
begin: Alignment.bottomCenter,
end: Alignment.topCenter,
colors: [Colors.black54, Colors.transparent],
),
),
child: Text(
photo.user?.name ?? 'Unknown',
style: const TextStyle(color: Colors.white),
),
),
),
],
),
),
);
}
void _performSearch(BuildContext context, PhotoSearchModel model, String query) {
if (query.trim().isNotEmpty) {
model.search(query.trim());
}
}
void _showPhotoDetail(BuildContext context, Photo photo) {
showDialog(
context: context,
builder: (context) => AlertDialog(
content: Column(
mainAxisSize: MainAxisSize.min,
children: [
Image.network(photo.urls?.regular ?? ''),
const SizedBox(height: 8),
Text('作者: ${photo.user?.name ?? "Unknown"}'),
Text('描述: ${photo.description ?? "无描述"}'),
],
),
actions: [
TextButton(
onPressed: () => Navigator.pop(context),
child: const Text('关闭'),
),
],
),
);
}
void _showInfoDialog(BuildContext context) {
showDialog(
context: context,
builder: (context) => AlertDialog(
title: const Text('关于'),
content: const Text(
'本应用使用 Unsplash API 搜索免费高质量照片。\n\n'
'照片版权归原作者所有,仅限个人学习使用。',
),
actions: [
TextButton(
onPressed: () => Navigator.pop(context),
child: const Text('确定'),
),
],
),
);
}
}
7. 常见问题与解决方案
7.1 API 调用失败
如果遇到 API 调用失败的问题,请检查以下几点:
// 错误处理示例
Future<List<Photo>> safeSearchPhotos(Unsplash unsplash, String query) async {
try {
final response = await unsplash.searchPhotos(query: query);
if (response?.results != null) {
return response!.results!;
}
return [];
} on SocketException catch (e) {
print('网络连接失败: $e');
return [];
} on TimeoutException catch (e) {
print('请求超时: $e');
return [];
} catch (e) {
print('未知错误: $e');
return [];
}
}
7.2 图片加载失败
图片加载失败时使用占位图和错误处理:
Widget buildSafeImage(String url) {
return Image.network(
url,
fit: BoxFit.cover,
loadingBuilder: (context, child, progress) {
if (progress == null) return child;
return const Center(child: CircularProgressIndicator());
},
errorBuilder: (context, error, stackTrace) {
return Container(
color: Colors.grey[300],
child: const Icon(Icons.broken_image, color: Colors.grey),
);
},
);
}
7.3 性能优化建议
针对大量照片加载的性能优化:
// 使用缩略图列表 + 按需加载高清图
class OptimizedPhotoGrid extends StatelessWidget {
final List<Photo> photos;
const OptimizedPhotoGrid({super.key, required this.photos});
Widget build(BuildContext context) {
return GridView.builder(
itemCount: photos.length,
gridDelegate: const SliverGridDelegateWithFixedCrossAxisCount(
crossAxisCount: 3,
childAspectRatio: 1.0,
),
itemBuilder: (context, index) {
final photo = photos[index];
return OptimizedPhotoItem(photo: photo);
},
);
}
}
class OptimizedPhotoItem extends StatelessWidget {
final Photo photo;
const OptimizedPhotoItem({super.key, required this.photo});
Widget build(BuildContext context) {
return CachedNetworkImage(
imageUrl: photo.urls?.thumb ?? '',
placeholder: (context, url) => const Center(child: CircularProgressIndicator()),
errorWidget: (context, url, error) => const Icon(Icons.error),
imageBuilder: (context, imageProvider) => Container(
decoration: BoxDecoration(
image: DecorationImage(
image: imageProvider,
fit: BoxFit.cover,
),
),
),
);
}
}
8. 总结
本文详细介绍了 Flutter 跨平台照片搜索库 desktop_photo_search 在鸿蒙系统上的使用方法和最佳实践。通过这篇文章,您应该已经掌握了:
- 环境配置:如何搭建 Flutter + OpenHarmony 开发环境
- 依赖管理:通过 AtomGit 正确引入 desktop_photo_search 依赖
- API 使用:Unsplash 照片搜索和下载的完整 API 调用方法
- 界面实现:Material Design 风格的界面构建技巧
- 性能优化:大量图片加载的性能优化方案
desktop_photo_search 作为一款成熟的照片搜索解决方案,经过鸿蒙化适配后,为开发者提供了稳定可靠的跨平台照片搜索能力。无论是构建个人照片管理应用,还是开发专业的图片搜索平台,这个库都能满足您的需求。
快速使用步骤
- 在
pubspec.yaml中添加 Git 形式的依赖 - 从 Unsplash 开发者平台获取 API 访问密钥
- 创建
unsplash_access_key.dart文件并配置密钥 - 初始化 Unsplash 客户端
- 调用搜索和下载 API
- 根据需要选择 Material 或 Fluent UI 界面风格
通过这个 package,您可以快速构建一个功能完整的照片搜索应用,并在鸿蒙系统上流畅运行。
欢迎加入开源鸿蒙跨平台社区:https://openharmonycrossplatform.csdn.net
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