Measure tool not display it

christianromero

Hi,

I recently added a cluster and the following code for getting work  with cluster layer.

<script>

      var timeStamp = Math.round((new Date()).getTime()/1000);

      var dojoConfig = {                               

        parseOnLoad: true,

        packages: [{

          "name": "extras",

          "location": location.pathname.replace(/\/[^/]+$/, '') + "/extras"

        }]

      };

</script>

but after that I started noticing that the esri.dijit.Measurement stop working (not shows the labels and dropdownlist), when i remove the complete cluster function, the esri.dijit.Measurement  work again, with out any problem.

So i think that this issue come with firts script.

what i doing wrong? i need to have both functions cluster layers and measure tools.

christianromero

It's a flie that contains ClusterLayer.js

the code is:>>

dojo.provide("extras.ClusterLayer");

dojo.require("esri.layers.graphics");

dojo.require("dojo._base.declare");

dojo.require("dojo._base.array");

dojo.require("esri.Color");

dojo.require("dojo._base.connect");

dojo.require("esri.SpatialReference");

dojo.require("esri.geometry.Point");

dojo.require("esri.graphic");

dojo.require("esri.symbols.SimpleMarkerSymbol");

dojo.require("esri.symbols.PictureMarkerSymbol");

dojo.require("esri.renderers.ClassBreaksRenderer");

dojo.require("esri.symbols.TextSymbol");

dojo.require("esri.dijit.PopupTemplate");

dojo.require("esri.layers.GraphicsLayer");

dojo.declare("extras.ClusterLayer", esri.layers.GraphicsLayer, {

    constructor: function (options) {

        // options:

        //   data:  Object[]

        //     Array of objects. Required. Object are required to have properties named x, y and attributes. The x and y coordinates have to be numbers that represent a points coordinates.

        //   distance:  Number?

        //     Optional. The max number of pixels between points to group points in the same cluster. Default value is 50.

        //   labelColor:  String?

        //     Optional. Hex string or array of rgba values used as the color for cluster labels. Default value is #fff (white).

        //   labelOffset:  String?

        //     Optional. Number of pixels to shift a cluster label vertically. Defaults to -5 to align labels with circle symbols. Does not work in IE.

        //   resolution:  Number

        //     Required. Width of a pixel in map coordinates. Example of how to calculate:

        //     map.extent.getWidth() / map.width

        //   showSingles:  Boolean?

        //     Optional. Whether or graphics should be displayed when a cluster graphic is clicked. Default is true.

        //   singleSymbol:  MarkerSymbol?

        //     Marker Symbol (picture or simple). Optional. Symbol to use for graphics that represent single points. Default is a small gray SimpleMarkerSymbol.

        //   singleTemplate:  PopupTemplate?

        //     PopupTemplate</a>. Optional. Popup template used to format attributes for graphics that represent single points. Default shows all attributes as "attribute = value" (not recommended).

        //   maxSingles:  Number?

        //     Optional. Threshold for whether or not to show graphics for points in a cluster. Default is 1000.

        //   webmap:  Boolean?

        //     Optional. Whether or not the map is from an ArcGIS.com webmap. Default is false.

        //   spatialReference:  SpatialReference?

        //     Optional. Spatial reference for all graphics in the layer. This has to match the spatial reference of the map. Default is 102100. Omit this if the map uses basemaps in web mercator.

        this._onClickEvento = options.onClickEvent;

        this._clusterTolerance = options.distance || 100;

        this._clusterData = options.data || [];

        this._clusters = [];

        this._clusterLabelColor = options.labelColor || "#000";

        // labelOffset can be zero so handle it differently

        this._clusterLabelOffset = (options.hasOwnProperty("labelOffset")) ? options.labelOffset : -5;

        // graphics that represent a single point

        this._singles = []; // populated when a graphic is clicked

        this._showSingles = options.hasOwnProperty("showSingles") ? options.showSingles : true;

        // symbol for single graphics

        var SMS = esri.symbol.SimpleMarkerSymbol;

        this._singleSym = options.singleSymbol || new SMS("circle", 6, null, new esri.Color("#000000"));

        //this._singleTemplate = options.singleTemplate || new esri.dijit.PopupTemplate({ "title": "", "description": "{*}" });

        this._maxSingles = 3000;

        this._webmap = options.hasOwnProperty("webmap") ? options.webmap : false;

        this._sr = options.spatialReference || new esri.SpatialReference({ "wkid": 102100 });

        this._zoomEnd = null;

    },

    // override esri/layers/GraphicsLayer methods

    _setMap: function (map, surface) {

        // calculate and set the initial resolution

        this._clusterResolution = map.extent.getWidth() / map.width; // probably a bad default...

        this._clusterGraphics();

        // connect to onZoomEnd so data is re-clustered when zoom level changes

        this._zoomEnd = dojo.connect(map, "onZoomEnd", this, function () {

            // update resolution

            this._clusterResolution = this._map.extent.getWidth() / this._map.width;

            this.clear();

            this._clusterGraphics();

        });

        // GraphicsLayer will add its own listener here

        var div = this.inherited(arguments);

        return div;

    },

    _unsetMap: function () {

        this.inherited(arguments);

        dojo.disconnect(this._zoomEnd);

    },

    // public ClusterLayer methods

    add: function (p) {

        // Summary:  The argument is a data point to be added to an existing cluster. If the data point falls within an existing cluster, it is added to that cluster and the cluster's label is updated. If the new point does not fall within an existing cluster, a new cluster is created.

        //

        // if passed a graphic, use the GraphicsLayer's add method

        if (p.declaredClass) {

            this.inherited(arguments);

            return;

        }

        // add the new data to _clusterData so that it's included in clusters

        // when the map level changes

        this._clusterData.push(p);

        var clustered = false;

        // look for an existing cluster for the new point

        for (var i = 0; i < this._clusters.length; i++) {

            var c = this._clusters;

            if (this._clusterTest(p, c)) {

                // add the point to an existing cluster

                this._clusterAddPoint(p, c);

                // update the cluster's geometry

                this._updateClusterGeometry(c);

                // update the label

                this._updateLabel(c);

                clustered = true;

                break;

            }

        }

        if (!clustered) {

            this._clusterCreate(p);

            p.attributes.clusterCount = 1;

            this._showCluster(p);

        }

    },

    clear: function () {

        // Summary:  Remove all clusters and data points.

        this.inherited(arguments);

        this._clusters.length = 0;

    },

    clearSingles: function (singles) {

        // Summary:  Remove graphics that represent individual data points.

        var s = singles || this._singles;

        dojo.forEach(s, function (g) {

            this.remove(g);

        }, this);

        this._singles.length = 0;

    },

    onClick: function (e) {

        ShowProgress(); 

        // remove any previously showing single features

        this.clearSingles(this._singles);

        // find single graphics that make up the cluster that was clicked

        // would be nice to use filter but performance tanks with large arrays in IE

        var singles = [];

        for (var i = 0, il = this._clusterData.length; i < il; i++) {

            if (e.graphic.attributes.clusterId == this._clusterData.attributes.clusterId) {

                singles.push(this._clusterData);

            }

        }

//        if (singles.length > this._maxSingles) {

//            alert("Cluster con m" + '\u00e1' + "s de " + this._maxSingles + " puntos. Aplicar zoom para mostrar detalle.");

//            return;

//        } else {

//            // stop the click from bubbling to the map

//            e.stopPropagation();

//            this._map.infoWindow.show(e.graphic.geometry);

//            //this._addSingles(singles);

//        }

        this._onClickEvento(singles);

    },

    // internal methods

    _clusterGraphics: function () {

        // first time through, loop through the points

        for (var j = 0, jl = this._clusterData.length; j < jl; j++) {

            // see if the current feature should be added to a cluster

            var point = this._clusterData;

            var clustered = false;

            var numClusters = this._clusters.length;

            for (var i = 0; i < this._clusters.length; i++) {

                var c = this._clusters;

                if (this._clusterTest(point, c)) {

                    this._clusterAddPoint(point, c);

                    clustered = true;

                    break;

                }

            }

            if (!clustered) {

                this._clusterCreate(point);

            }

        }

        this._showAllClusters();

    },

    _clusterTest: function (p, cluster) {

        var distance = (

        Math.sqrt(

          Math.pow((cluster.x - p.x), 2) + Math.pow((cluster.y - p.y), 2)

        ) / this._clusterResolution

      );

        return (distance <= this._clusterTolerance);

    },

    // points passed to clusterAddPoint should be included

    // in an existing cluster

    // also give the point an attribute called clusterId

    // that corresponds to its cluster

    _clusterAddPoint: function (p, cluster) {

        // average in the new point to the cluster geometry

        var count, x, y;

        count = cluster.attributes.clusterCount;

        x = (p.x + (cluster.x * count)) / (count + 1);

        y = (p.y + (cluster.y * count)) / (count + 1);

        cluster.x = x;

        cluster.y = y;

        // build an extent that includes all points in a cluster

        // extents are for debug/testing only...not used by the layer

        if (p.x < cluster.attributes.extent[0]) {

            cluster.attributes.extent[0] = p.x;

        } else if (p.x > cluster.attributes.extent[2]) {

            cluster.attributes.extent[2] = p.x;

        }

        if (p.y < cluster.attributes.extent[1]) {

            cluster.attributes.extent[1] = p.y;

        } else if (p.y > cluster.attributes.extent[3]) {

            cluster.attributes.extent[3] = p.y;

        }

        // increment the count

        cluster.attributes.clusterCount++;

        // attributes might not exist

        if (!p.hasOwnProperty("attributes")) {

            p.attributes = {};

        }

        // give the graphic a cluster id

        p.attributes.clusterId = cluster.attributes.clusterId;

        //p.attributes.clusterPoint = (cluster.attributes.clusterCount === 0 ? 0 : cluster.attributes.clusterCount);

        //debugger;

    },

    // point passed to clusterCreate isn't within the

    // clustering distance specified for the layer so

    // create a new cluster for it

    _clusterCreate: function (p) {

        var clusterId = this._clusters.length + 1;

        //var clusterPoint = (this._clusters.length === 0 || this._clusters.length === undefined) ? 0 : this._clusters.length;

        // console.log("cluster create, id is: ", clusterId);

        // p.attributes might be undefined

        if (!p.attributes) {

            p.attributes = {};

        }

        p.attributes.clusterId = clusterId;

     

        // create the cluster

        var cluster = {

            "x": p.x,

            "y": p.y,

            "attributes": {

                "clusterCount": 1,

                //"clusterPoint": 1,

                "clusterId": clusterId,

                "extent": [p.x, p.y, p.x, p.y]

            }

        };

        this._clusters.push(cluster);

    },

    _showAllClusters: function () {

        for (var i = 0, il = this._clusters.length; i < il; i++) {

            var c = this._clusters;

            this._showCluster(c);

        }

    },

    _showCluster: function (c) {

        var point = new esri.geometry.Point(c.x, c.y, this._sr);

        this.add(

        new esri.Graphic(

          point,

          null,

          c.attributes

        )

      );

        // code below is used to not label clusters with a single point

        if (c.attributes.clusterCount == 1) {

            return;

        }

        // show number of points in the cluster

        var label = new esri.symbols.TextSymbol(c.attributes.clusterCount)

        .setColor(new esri.Color(this._clusterLabelColor))

        .setOffset(0, this._clusterLabelOffset);

        this.add(

        new esri.Graphic(

          point,

          label,

          c.attributes

        )

      );

    },

    _addSingles: function (singles) {

        // add single graphics to the map

        dojo.forEach(singles, function (p) {

            var g = new esri.Graphic(

          new esri.geometry.Point(p.x, p.y, this._sr),

          this._singleSym,

          p.attributes

            ,this._singleTemplate

        );

            this._singles.push(g);

            if (this._showSingles) {

                this.add(g);

            }

        }, this);

        this._map.infoWindow.setFeatures(this._singles);

    },

    _updateClusterGeometry: function (c) {

        // find the cluster graphic

        var cg = dojo.filter(this.graphics, function (g) {

            return !g.symbol &&

               g.attributes.clusterId == c.attributes.clusterId;

            //g.attributes.clusterPoint == c.attributes.clusterPoint;

        });

        if (cg.length == 1) {

            cg[0].geometry.update(c.x, c.y);

        } else {

            console.log("didn't find exactly one cluster geometry to update: ", cg);

        }

    },

    _updateLabel: function (c) {

        // find the existing label

        var label = dojo.filter(this.graphics, function (g) {

            return g.symbol &&

               g.symbol.declaredClass == "esri.symbol.TextSymbol" &&

               g.attributes.clusterId == c.attributes.clusterId;

            //g.attributes.clusterPoint == c.attributes.clusterPoint;

        });

        if (label.length == 1) {

            // console.log("update label...found: ", label);

            this.remove(label[0]);

            var newLabel = new esri.symbols.TextSymbol(c.attributes.clusterCount)

          .setColor(new esri.Color(this._clusterLabelColor))

          .setOffset(0, this._clusterLabelOffset);

            this.add(

          new esri.Graphic(

            new esri.geometry.Point(c.x, c.y, this._sr),

            newLabel,

            c.attributes

          )

        );

            // console.log("updated the label");

        } else {

            console.log("didn't find exactly one label: ", label);

        }

    },

    // debug only...never called by the layer

    _clusterMeta: function () {

        // print total number of features

        console.log("Total:  ", this._clusterData.length);

        // add up counts and print it

        var count = 0;

        dojo.forEach(this._clusters, function (c) {

            count += c.attributes.clusterCount;

        });

        console.log("In clusters:  ", count);

    }

});

Is the same code as layers_point_clustering sample

Point clustering | ArcGIS API for JavaScript