一、背景说明
通过调用GP服务,Android客户端也能实现专业的、复杂的GIS分析处理功能,从而增加应用的实用价值。
ArcGIS Server发布的GP服务,分为同步和异步两种类型,一般执行步骤较多,耗时较长的GP服务都采用异步方式,执行速度较快的服务则采用同步方式。如果不确定GP服务是同步还是异步方式,则可以通过服务目录查看,如下图:
本文将介绍如何通过异步的方式来调用GP服务(同步方式在SDK的示例程序中有,较为简单),本例调用的GP服务来自ArcGIS Online,服务地址为:http://sampleserver4.arcgisonline.com/ArcGIS/rest/services/HomelandSecurity/Incident_Data_Extraction/GPServer/Extract%20Data%20Task。该服务相关的业务数据服务为:http://sampleserver4.arcgisonline.com/ArcGIS/rest/services/HomelandSecurity/Incident_Data_Extraction/MapServer。该GP服务提供数据提取的功能,就是根据用户选择的待提取图层、提取范围、输出格式,将数据提取,并打包返回客户端,由客户下载zip压缩包。先来看一下GP服务的参数要求:
可见该服务提供了三个输入参数,分别是:待提取的图层、提取范围和输出格式,此外还有一个输出参数,用于获取提取结果。
二、示例效果
本例的执行效果如下:
1.底图与待提取的业务数据:
2.绘制用于提取的多边形范围:
3.提交提取任务,开始执行提取操作:
4.提取任务执行完成,获得了提取结果的URL(图片上方),点击可下载:
5.完成下载提取结果:
6.到下载目录中查看下载结果,output-1.zip:
三、关键代码
1.设置参数
public void startAsynchronous(Polygon aoiGeometry){ //被裁切的目标图层 GPString pointLayer = new GPString(); pointLayer.setValue("Incident Points"); GPString lineLayer = new GPString(); pointLayer.setValue("Incident Lines"); GPString polygonLayer = new GPString(); pointLayer.setValue("Incident Areas"); GPMultiValue<GPString> clipLayers = new GPMultiValue<GPString>("Layers_to_Clip"); clipLayers.addValue(pointLayer); clipLayers.addValue(lineLayer); clipLayers.addValue(polygonLayer); //用于裁切的范围 Graphic g = new Graphic(aoiGeometry, fillSymbol); GPFeatureRecordSetLayer aoi = new GPFeatureRecordSetLayer("Area_of_Interest"); aoi.setGeometryType(Geometry.Type.POLYGON); aoi.addGraphic(g); //返回的数据格式 GPString format = new GPString("Feature_Format"); format.setValue("Shapefile - SHP - .shp"); params2 = new ArrayList<GPParameter>(); params2.add(clipLayers); params2.add(aoi); params2.add(format); try { dialog = ProgressDialog.show(Viewshed.this, "", "Extacting. Please wait...", true, true); gpExtract = new Geoprocessor("http://sampleserver4.arcgisonline.com/ArcGIS/rest/services/HomelandSecurity/Incident_Data_Extraction/GPServer/Extract%20Data%20Task"); gpExtract.setOutSR(map.getSpatialReference()); gpExtract.setProcessSR(map.getSpatialReference()); ExtractRunable queryRunable = new ExtractRunable(); Thread thread = new Thread(queryRunable); thread.start(); } catch (Exception e) { e.printStackTrace(); } }
2.提交任务,开始异步执行
class ExtractRunable implements Runnable { @Override public void run() { GPJobResource jobResource = null; try { jobResource = gpExtract.submitJob(params2); } catch (Exception e1) { e1.printStackTrace(); } jobID = jobResource.getJobID(); } }
3.通过Timer定时查询任务状态并处理结果
class ExtractRunable implements Runnable { @Override public void run() { GPJobResource jobResource = null; try { jobResource = gpExtract.submitJob(params2); } catch (Exception e1) { e1.printStackTrace(); } jobID = jobResource.getJobID(); //通过定时器每隔2秒查询Job状态 checkJobStatusTimer = new Timer(); checkJobStatusTimer.schedule(new TimerTask() { @Override public void run() { GPJobResource jobRes = null; try { jobRes = gpExtract.checkJobStatus(jobID); } catch (Exception e) { e.printStackTrace(); } if(jobRes == null) return; JobStatus status = jobRes.getJobStatus(); switch(status){ case CANCELLED: Toast.makeText(Viewshed.this, "CANCELLED", Toast.LENGTH_LONG).show(); break; case DELETED: Toast.makeText(Viewshed.this, "DELETED", Toast.LENGTH_LONG).show(); break; case FAILED: GPMessage[] message = jobRes.getMessages(); Toast.makeText(Viewshed.this, "FAILED:"+message[0].toString(), Toast.LENGTH_LONG).show(); break; case SUCCEEDED: try { GPDataFile result = (GPDataFile)gpExtract.getResultData(jobID, "Output_Zip_File"); url = result.getUrl(); uiHandler.sendEmptyMessage(CLOSE_LOADING_WINDOW); } catch (Exception e) { e.printStackTrace(); } break; case TIMED_OUT: Toast.makeText(Viewshed.this, "TIMED_OUT", Toast.LENGTH_LONG).show(); break; default: break; } } }, 1000, 2000); } }
以上是本例的关键代码,如需完整代码,请在评论中留下邮箱。