题外话

     首先感谢一直关注我博客的博友们!使我有动力一直写下去。通过几个月对Windows Phone7的学习后,对它又有了更深入的学习和了解,所以我又开了一个新章节,来把我学到的东西分享出来。也希望大家继续支持我,一起进步。

 

 

 

Reactive Extension for .Net framework

.Net反应性框架,在之前的.net框架中就已经有了,没想到也被应用到Windows phone7中来了。

程序员为指定异步操作指定回调,或事件处理程序的时候使用反应性编程。在异步操作完成或者事件触发的时候,就会调用方法并作为对该事件的反应。在这个模型中,数据流、异步请求、事件都可以做为可观察序列,并且接收异步消息,并通过LINQ来合成这些序列。

不过在Phone7中,这个框架只有一部分有用,主要用在:filtering eventscomposing multiple asynchronous web service requestsemulating data streams.

 

对于目前来说,在模拟器上没有办法测试AccelerometerLocationAPI,就是因为得不到数据。现在可以利用这个框架来实现数据模拟了。

 

模拟Accelerometer数据:

Thread thread = new Thread(StartAccelerometerEmulation);

thread.Start();

 

am = new Accelerometer();

var aro = Observable.FromEvent<AccelerometerReadingEventArgs>(

eh => am.ReadingChanged += eh,

eh => am.ReadingChanged -= eh);

 

try

{

     am.Start();

}

catch (AccelerometerFailedException ae)

{

}

 

void InvokeAccelerometerReadingChanged(Vector3 data)

{

    Deployment.Current.Dispatcher.BeginInvoke(() => AccelerometerReadingChanged(data));

}

void AccelerometerReadingChanged(Vector3 data)

{

     this.textBlock1.Text = "x: " + data.X.ToString("0.00");

     this.textBlock2.Text = " y: " + data.Y.ToString("0.00");

     this.textBlock3.Text = " z: " + data.Z.ToString("0.00");

}

 

private void StartAccelerometerEmulation()

{

    var emulationDataAsObservable = EmulateAccelerometerReading().ToObservable();

    emulationDataAsObservable.Subscribe(args => InvokeAccelerometerReadingChanged(args));

}

 

static IEnumerable<Vector3> EmulateAccelerometerReading()

{

    Random random = new Random();

 

for (double theta = 0; ; theta += .1)

    {

   

        Vector3 reading = new Vector3((float)Math.Sin(theta), (float)Math.Cos(theta * 1.1), (float)Math.Sin(theta * .7));

        reading.Normalize();

 

        if (random.NextDouble() > .95)

        {

             reading = new Vector3((float)(random.NextDouble() * 3.0 - 1.5),

                     (float)(random.NextDouble() * 3.0 - 1.5),

                     (float)(random.NextDouble() * 3.0 - 1.5));

 

         }

 

          yield return reading;

         Thread.Sleep(200);

  }

}

 

 

 

 

模拟Location数据:

Thread t = new Thread(StartLocationEmulation);

t.Start();

 

watcher = new GeoCoordinateWatcher(GeoPositionAccuracy.Default);

watcher.MovementThreshold = 35;

 

var gcwo = Observable.FromEvent<GeoPositionChangedEventArgs<GeoCoordinate>>(

eh =>watcher.PositionChanged +=eh,

eh =>watcher.PositionChanged -=eh);

 

watcher.Start();

 

private void StartLocationEmulation()

{

     var position = EmulatePositionChangedEvents().ToObservable();

     position.Subscribe(ev => wait_PositionChanged(null, ev));

}

 

static IEnumerable<GeoPositionChangedEventArgs<GeoCoordinate>> EmulatePositionChangedEvents()

{

     Random random = new Random();

     while (true)

     {

        double latitude = (random.NextDouble() * 180.0) - 90.0; // latitude is between -90 and 90

        double longitude = (random.NextDouble() * 360.0) - 180.0; // longitude is between -180 and 180

        yield return new GeoPositionChangedEventArgs<GeoCoordinate>(

        new GeoPosition<GeoCoordinate>(DateTimeOffset.Now, new GeoCoordinate(latitude, longitude)));

 

         Thread.Sleep(random.Next(2000));

       }

}

 

private void wait_PositionChanged(object sender, GeoPositionChangedEventArgs<GeoCoordinate> e)

{

    Deployment.Current.Dispatcher.BeginInvoke(()=>MyPositionChanged(e));

}

 

private void MyPositionChanged(GeoPositionChangedEventArgs<GeoCoordinate> e)

{

   this.textBlock1.Text = "Time: " + e.Position.Timestamp. ToString("yyyy-MM-dd hh:mm:ss");

   this.textBlock2.Text = "Latitude: " + e.Position.Location.Latitude.ToString("0.00");

   this.textBlock3.Text = "Longitude: " + e.Position.Location.Longitude.ToString("0.00");

}

 

 

 

 

posted on 2010-09-01 11:04  小镇  阅读(2107)  评论(2编辑  收藏  举报