探索Flutter_Image显示Webp逻辑
本文主要介绍探索Flutter_Image显示Webp逻辑
简介
最近探索了一下新增Flutter的Image widget对webp做一个stopAnimation的拓展的Api,顺便了解一下Image整个结构和对一些多帧图片的处理。 我们先看看Image的一个类图结构。
其中:
- ImageProvider 提供加载图片的入口,不同的图片资源加载方式不一样,只要重写其load方法即可。同样,缓存图片的key值也有其生成。
- FileImage 负责读取文件图片的数据,读取到的文件数据转化成ui.Codec对象交给ImageStreamCompleter去处理解析。
- ImageStreamCompleter就是逐帧解析图片的类,生成之后会加入ImageCache,下载可以从缓存中得到。
- ImageStream是处理Image Resource的,ImageState通过ImageStream与ImageStreamCompleter建立联系。ImageStream里也存储着图片加载完毕的监听回调。
- MultiFrameImageStreamCompleter就是多帧图片解析器。 Flutter imgae支持的图片格式为:JPEG, PNG, GIF, Animated GIF, WebP, Animated WebP, BMP, and WBMP。Flutter Image是显示图片的一个Widget。 Flutter Image的几个构造方法:
方法 | 释义 |
---|---|
Image() | 从ImageProvider中获取图片,从本质上看,下面的几个方法都是他的具体实现。 |
Image.asset(String name) | 从AssetBundler中获取图片 |
Image.network(String src) | 显示网络图片 |
Image.file(File file) | 从文件中获取图片 |
Image.memory(Uint8List bytes) | 从Uint8List获取数据显示图片 |
Image
从Image的构造体上看,ImageProvider才是图片提供方,所以我们后面会看看ImageProvider究竟是要做点什么的。 其他的参数是一些图片的属性和一些builder。
ImageState
关键代码:
void didUpdateWidget(Image oldWidget) {
super.didUpdateWidget(oldWidget);
if (_isListeningToStream &&
(widget.loadingBuilder == null) != (oldWidget.loadingBuilder == null)) {
_imageStream.removeListener(_getListener(oldWidget.loadingBuilder));
_imageStream.addListener(_getListener());
}
if (widget.image != oldWidget.image)
_resolveImage();
}
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ImageProvider
其实ImageProvider是一个抽象类,让需要定制的子类去做一些实现。
比如:FileImage、MemoryImage、ExactAssetImage等等。其中对FileImage的代码进行了一些分析。
class FileImage extends ImageProvider<FileImage> {
/// Creates an object that decodes a [File] as an image.
///
/// The arguments must not be null.
const FileImage(this.file, { this.scale: 1.0 })
: assert(file != null),
assert(scale != null);
/// The file to decode into an image.
final File file;
/// The scale to place in the [ImageInfo] object of the image.
final double scale;
@override
Future<FileImage> obtainKey(ImageConfiguration configuration) {
return new SynchronousFuture<FileImage>(this);
}
@override
ImageStreamCompleter load(FileImage key) {
return new MultiFrameImageStreamCompleter(
codec: _loadAsync(key),
scale: key.scale,
informationCollector: (StringBuffer information) {
information.writeln('Path: ${file?.path}');
}
);
}
Future<ui.Codec> _loadAsync(FileImage key) async {
assert(key == this);
final Uint8List bytes = await file.readAsBytes();
if (bytes.lengthInBytes == 0)
return null;
return await ui.instantiateImageCodec(bytes);
}
@override
bool operator ==(dynamic other) {
if (other.runtimeType != runtimeType)
return false;
final FileImage typedOther = other;
return file?.path == typedOther.file?.path
&& scale == typedOther.scale;
}
@override
int get hashCode => hashValues(file?.path, scale);
@override
String toString() => '$runtimeType("${file?.path}", scale: $scale)';
}
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FileImage重写了 obtainKey、load的方法。但是在什么地方会调用这两个重写的方法呢?那肯定是ImageProvider这个父类了。
@optionalTypeArgs
abstract class ImageProvider<T> {
/// Abstract const constructor. This constructor enables subclasses to provide
/// const constructors so that they can be used in const expressions.
const ImageProvider();
/// Resolves this image provider using the given `configuration`, returning
/// an [ImageStream].
///
/// This is the public entry-point of the [ImageProvider] class hierarchy.
///
/// Subclasses should implement [obtainKey] and [load], which are used by this
/// method.
ImageStream resolve(ImageConfiguration configuration) {
assert(configuration != null);
final ImageStream stream = new ImageStream();
T obtainedKey;
obtainKey(configuration).then<void>((T key) {
obtainedKey = key;
stream.setCompleter(PaintingBinding.instance.imageCache.putIfAbsent(key, () => load(key)));
}).catchError(
(dynamic exception, StackTrace stack) async {
FlutterError.reportError(new FlutterErrorDetails(
exception: exception,
stack: stack,
library: 'services library',
context: 'while resolving an image',
silent: true, // could be a network error or whatnot
informationCollector: (StringBuffer information) {
information.writeln('Image provider: $this');
information.writeln('Image configuration: $configuration');
if (obtainedKey != null)
information.writeln('Image key: $obtainedKey');
}
));
return null;
}
);
return stream;
}
/// Converts an ImageProvider's settings plus an ImageConfiguration to a key
/// that describes the precise image to load.
///
/// The type of the key is determined by the subclass. It is a value that
/// unambiguously identifies the image (_including its scale_) that the [load]
/// method will fetch. Different [ImageProvider]s given the same constructor
/// arguments and [ImageConfiguration] objects should return keys that are
/// '==' to each other (possibly by using a class for the key that itself
/// implements [==]).
@protected
Future<T> obtainKey(ImageConfiguration configuration);
/// Converts a key into an [ImageStreamCompleter], and begins fetching the
/// image.
@protected
ImageStreamCompleter load(T key);
@override
String toString() => '$runtimeType()';
}
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该方法的作用就是创建一个ImageStream,并且ImageConfiguration作为key从ImageCache中获取ImageCompleter,设置到ImageStream上面。而ImageCompleter是为了设置一些回调和帮助ImageStream设置图片的一个类。
ImageConfiguration是对于ImageCompleter的一些配置。
ImageCache是对于ImageCompleter的缓存。 ImageStreamCompleter putIfAbsent(Object key, ImageStreamCompleter loader(), { ImageErrorListener onError }) 这个方法在resolve方法中是一个关键方法。
ImageStreamCompleter putIfAbsentImageStreamCompleter putIfAbsent(Object key, ImageStreamCompleter loader()) {
assert(key != null);
assert(loader != null);
ImageStreamCompleter result = _cache[key];
if (result != null) {
// Remove the provider from the list so that we can put it back in below
// and thus move it to the end of the list.
_cache.remove(key);
} else {
if (_cache.length == maximumSize && maximumSize > 0)
_cache.remove(_cache.keys.first);
result = loader();
}
if (maximumSize > 0) {
assert(_cache.length < maximumSize);
_cache[key] = result;
}
assert(_cache.length <= maximumSize);
return result;
}
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这个方法是在imageCache里面的,提供的是内存缓存api的入口方法,putIfAbsent会先通过key获取之前的ImageStreamCompleter对象,这个key就是NetworkImage对象,当然我们也可以重写obtainKey方法自定义key,如果存在则直接返回,如果不存在则执行load方法加载ImageStreamCompleter对象,并将其放到首位(最少最近使用算法)。 也就是说ImageProvider已经实现了内存缓存:默认缓存图片的最大个数是1000,默认缓存图片的最大空间是10MiB。 第一次加载图片肯定是没有缓存的,所以会调用loader方法,那就是方法外面传进去的load()方法。
FileImage的load方法
@override
ImageStreamCompleter load(FileImage key) {
return new MultiFrameImageStreamCompleter(
codec: _loadAsync(key),
scale: key.scale,
informationCollector: (StringBuffer information) {
information.writeln('Path: ${file?.path}');
}
);
}
Future<ui.Codec> _loadAsync(FileImage key) async {
assert(key == this);
final Uint8List bytes = await file.readAsBytes();
if (bytes.lengthInBytes == 0)
return null;
return await ui.instantiateImageCodec(bytes);
}
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load方法中使用了一个叫MultiFrameImageStreamCompleter的类:
MultiFrameImageStreamCompleter({
@required Future<ui.Codec> codec,
@required double scale,
InformationCollector informationCollector
}) : assert(codec != null),
_informationCollector = informationCollector,
_scale = scale,
_framesEmitted = 0,
_timer = null {
codec.then<void>(_handleCodecReady, onError: (dynamic error, StackTrace stack) {
FlutterError.reportError(new FlutterErrorDetails(
exception: error,
stack: stack,
library: 'services',
context: 'resolving an image codec',
informationCollector: informationCollector,
silent: true,
));
});
}
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MultiFrameImageStreamCompleter是ImageStreamCompleter的子类,为了处理多帧的图片加载,Flutter的Image支持加载webp,通过MultiFrameImageStreamCompleter可以对webp文件进行解析,MultiFrameImageStreamCompleter拿到外面传入的codec数据对象,通过handleCodecReady来保存Codec,之后调用decodeNextFrameAndSchedule方法,从Codec获取下一帧图片数据和把数据通知回调到Image,并且开启定时解析下一帧图片数据。
到此为止,基本dart流程就走完了,所以需要做stopAnimation和startAnimation的改造就应该这这个MultiFrameImageStreamCompleter入手了。
最后
整个在Dart层面Image解析webp的流程就这样,
文章来源: jianguo.blog.csdn.net,作者:坚果前端の博客,版权归原作者所有,如需转载,请联系作者。
原文链接:jianguo.blog.csdn.net/article/details/120109631
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