开源Kotlin小项目,非常适合练手
一个非常小型的Kotlin项目,但是该有的都有。如果您觉得有意思就帮我star下,人多了我就会放更多的福利哦。github
先上福利。Release1.0
特点
列表显示图片,点击查看更多。
快速跳转至顶部,底部,指定位置。
收藏,查看历史记录。
设置壁纸。
离线缓存。
组成
语言:Kotlin,Java
网络请求:HttpUrlConnection
数据库:Sqlite
数据源:Jsoup
第三方库:Glide
概述
1) 网络请求
网络框架并没有使用RxRetrofit等,为了保证精简高效直接使用的HttpUrlConnection
get
val request = AsyncNetwork() request.request(Constants.HOST_MOBILE_URL, null) request.setRequestCallback(object : IRequestCallback { override fun onSuccess(httpURLConnection: HttpURLConnection?, response: String) { //todo } })
post
val request = AsyncNetwork() request.request(Constants.HOST_MOBILE_URL, mutableMapOf()) request.setRequestCallback(object : IRequestCallback { override fun onSuccess(httpURLConnection: HttpURLConnection?, response: String) { //todo } })
2) 数据库
数据库没有使用第三方框架,直接使用的sql语句。
CREATE TABLE tb_class_page_list ( _id INTEGER PRIMARY KEY ASC AUTOINCREMENT, href STRING UNIQUE, description STRING, image_url STRING, id_class_page INTEGER REFERENCES tb_class_page (_id) ON DELETE CASCADE ON UPDATE CASCADE, [index] INTEGER);
3) 读写缓存
Serializable的效率远低于Parcelable,所以采用Parcelable实现的缓存机制,速度快了大概7,8倍。
读取缓存
val helper = PageListCacheHelper(container?.context?.filesDir?.absolutePath) val pageModel: Any? = helper.get(key)
写入缓存
val helper = PageListCacheHelper(context.filesDir.absolutePath) helper.put(key, object)
删除缓存
val helper = PageListCacheHelper(context.filesDir.absolutePath) helper.remove(key)
4) jsoup获取数据
由于数据是用从html页面中提取的,所以速度偏慢,为了不影响体验做了一套缓存机制,来做到流畅体验。
Document doc = Jsoup.parse(html); Elements elements = body.getElementsByTag("a"); String text = elements.get(0).text(); String imageUrl = elements.get(0).attr("src"); ...
5) 组件
Activity fragment替代activity来显示新界面
因为activity需要在Manifiest中注册,所以当有多个activity的时候,就需要编写很长的Manifiest文件,严重影响了Manifiest的可读性,界面的风格也比较笨重。所以一个新页面就注册一个activity不太合适,我们通过用activity做为容器添加不同的Fragment来达到注册一个activity启动多个不同页面的效果。生命周期由activity管理,更方便简洁。
open class BaseFragmentActivity : BaseActionActivity() { companion object { private const val EXTRA_FRAGMENT_NAME = "extra_fragment_name" private const val EXTRA_FRAGMENT_ARG = "extra_fragment_arguments" @JvmOverloads @JvmStatic fun newInstance(context: Context, fragment: Class<*>, bundle: Bundle? = null, clazz: Class<out Activity> = getActivityClazz()): Intent { val intent = Intent(context, clazz) intent.putExtra(EXTRA_FRAGMENT_NAME, fragment.name) intent.putExtra(EXTRA_FRAGMENT_ARG, bundle) return intent } protected open fun getActivityClazz(): Class<out Activity> { return BaseFragmentActivity::class.java } } override fun onCreate(savedInstanceState: Bundle?) { super.onCreate(savedInstanceState) setContentView(R.layout.cc_activity_base_fragment) val fragmentName = intent.getStringExtra(EXTRA_FRAGMENT_NAME) var fragment: Fragment? = null if (TextUtils.isEmpty(fragmentName)) { //set default fragment //fragment = makeFragment(MainFragment::class.java!!.getName()) } else { val args = intent.getBundleExtra(EXTRA_FRAGMENT_ARG) try { fragment = makeFragment(fragmentName) if (args != null) fragment?.arguments = args } catch (e: Exception) { e.printStackTrace() } } if (fragment == null) return supportFragmentManager .beginTransaction() .replace(R.id.fragment_container, fragment) .commit() } fun makeFragment(name: String): Fragment? { try { val fragmentClazz = Class.forName(name) return fragmentClazz.newInstance() as Fragment } catch (e: Exception) { e.printStackTrace() } return null } }
6) 序列化性能
性能测试,Serializable VS Externalizable,为了避免干扰,我们使用AndroidTest进行测试。
模型
class Model1 implements Serializable { String text; int code; boolean bool; Model1 child; } class Model2 extends Model1 implements Externalizable { public Model2() { } @Override public void readExternal(ObjectInput input) throws IOException, ClassNotFoundException { text = input.readUTF(); code = input.readInt(); bool = input.readBoolean(); child = new Model2(); child.text = input.readUTF(); child.code = input.readInt(); child.bool = input.readBoolean(); } @Override public void writeExternal(ObjectOutput output) throws IOException { output.writeUTF(text); output.writeInt(code); output.writeBoolean(bool); if (child != null) { output.writeUTF(child.text); output.writeInt(child.code); output.writeBoolean(child.bool); } } }
测试
@Test public void serializableVSExternalizable() throws Exception { List<Model1> testModel1 = new ArrayList<>(); for (int i = 0; i < 50000; i++) { Model1 model1 = new Model1(); model1.text = "Hello World " + i; model1.code = i; model1.bool = false; Model1 child = new Model1(); child.text = "Hello World Child" + i; child.code = i; child.bool = false; model1.child = child; testModel1.add(model1); } long startTime = System.currentTimeMillis(); File file = new File("/sdcard/serializable"); ObjectOutputStream oStream = new ObjectOutputStream(new FileOutputStream(file)); oStream.writeObject(testModel1); oStream.close(); Log.e("serializable", "write time " + (System.currentTimeMillis() - startTime)); startTime = System.currentTimeMillis(); ObjectInputStream iStream = new ObjectInputStream(new FileInputStream(file)); testModel1 = (List<Model1>) iStream.readObject(); iStream.close(); Log.e("serializable", "read time " + (System.currentTimeMillis() - startTime)); testModel1 = null; List<Model2> testModel2 = new ArrayList<>(); for (int i = 0; i < 50000; i++) { Model2 model2 = new Model2(); model2.text = "Hello World " + i; model2.code = i; model2.bool = false; Model2 child = new Model2(); child.text = "Hello World Child" + i; child.code = i; child.bool = false; model2.child = child; testModel2.add(model2); } startTime = System.currentTimeMillis(); file = new File("/sdcard/externalizable"); oStream = new ObjectOutputStream(new FileOutputStream(file)); oStream.writeObject(testModel2); oStream.close(); Log.e("externalizable", "write time " + (System.currentTimeMillis() - startTime)); startTime = System.currentTimeMillis(); iStream = new ObjectInputStream(new FileInputStream(file)); testModel2 = (List<Model2>) iStream.readObject(); iStream.close(); Log.e("externalizable", "read time " + (System.currentTimeMillis() - startTime)); }
结果
序列化5000个对象 Serializable:写入耗时4026 ms,读取耗时177 ms Externalizable:写入耗时2680 ms,读取耗时79 ms 序列化50000个对象 Serializable:写入耗时46872 ms,读取耗时1807 ms Externalizable:写入耗时41334 ms,读取耗时792 ms
从结果上可以看到Externalizalbe相比于Serializable是稍微快一些点不管是写入还是读取速度。对象存储还可以使用一些对象关系映射(ORM)型的数据库。如GreenDao等等。
7) Java中的深拷贝
由于System.arrayCopy()该方法拷贝数组的时候,如果是基本数据类型则是深拷贝,如果是对象类型则会是浅拷贝,无法做到深拷贝,所以想深拷贝一个数组就得循环创建对象并赋值,这显得很麻烦。所以项目中使用序列化的方法进行深拷贝。PS:Serializable序列化方式读取的时候并不会调用对象构造方法,而Externalizable序列化方式读取时会调用对象的无参构造方法。
@SuppressWarnings("unchecked") public static <T> T deepCopyOrThrow(T src) throws IOException, ClassNotFoundException { ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); ObjectOutputStream out = new ObjectOutputStream(byteOut); out.writeObject(src); ByteArrayInputStream byteIn = new ByteArrayInputStream(byteOut.toByteArray()); ObjectInputStream in = new ObjectInputStream(byteIn); return (T) in.readObject(); } public static <T> T deepCopy(T src) { try { return deepCopyOrThrow(src); } catch (Exception ignore) { ignore.printStackTrace(); return null; } }