define([
    "dojo/_base/declare",
    "dojo/_base/array",
    "esri/Color",
    "dojo/_base/connect",

    "esri/SpatialReference",
    "esri/geometry/Point",
    "esri/graphic",
    "esri/symbols/SimpleMarkerSymbol",
    "esri/symbols/PictureMarkerSymbol",
    "esri/symbols/TextSymbol",
    "esri/symbols/Font",
    "esri/geometry/webMercatorUtils",

    "esri/dijit/PopupTemplate",
    "esri/layers/GraphicsLayer"
], function (
    declare, arrayUtils, Color, connect,
    SpatialReference, Point, Graphic, SimpleMarkerSymbol, PictureMarkerSymbol, TextSymbol, Font, webMercatorUtils,
    PopupTemplate, GraphicsLayer
) {
        return declare([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._clusterTolerance = options.distance || 60;
                this._clusterData = options.data || [];
                this._clusters = [];
                this._clusterLabelColor = options.labelColor || "#000";
                this._clusterLabelFontSize = options.labelFontSize || "12px";
                this._clusterLabelFontFamily = options.labelFontFamily || "Calibri";
                this._clusterLabelFontWeight = options.labelFontWeight || Font.WEIGHT_NORMAL;
                // 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 : false;
                // symbol for single graphics
                var SMS = SimpleMarkerSymbol;
                this._singleSym = options.singleSymbol || new SMS("circle", 6, null, new Color("#888"));
                this._singleTemplate = options.singleTemplate || new PopupTemplate({ "title": "", "description": "{infoContent}" });
                this._maxSingles = options.maxSingles || 1000;

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

                this._sr = options.spatialReference;// || new SpatialReference({ "wkid": 4326 });

                this._zoomEnd = null;
                //this._popupChanged = null;
                this._getClusterResolution = null;

                this._popupedClusterData = null;//当前Popup显示的点
            },

            // override esri/layers/GraphicsLayer methods 
            _setMap: function (map, surface) {
                this._getClusterResolution = function (map) {
                    // calculate and set the initial resolution
                    var ext = map.extent;
                    ext = webMercatorUtils.webMercatorToGeographic(ext);
                    // update resolution
                    this._clusterResolution = ext.getHeight() / map.height;
                };

                // connect to onZoomEnd so data is re-clustered when zoom level changes
                this._zoomEnd = connect.connect(map, "onZoomEnd", this, function () {
                    this.reloadData();
                });

                //this._popupChanged = connect.connect(map.infoWindow, "onSelectionChange", function () {
                //    var graphic = map.infoWindow.getSelectedFeature();
                //    //showInfoWindow(graphic);
                //    //map.infoWindow.selectedIndex
                //    //map.infoWindow.count
                //});

                this._getClusterResolution(map);
                this.clear();
                this._clusterGraphics();

                // GraphicsLayer will add its own listener here
                var div = this.inherited(arguments);
                return div;
            },

            _unsetMap: function () {
                this.inherited(arguments);
                connect.disconnect(this._zoomEnd);
                connect.disconnect(this._popupChanged);
            },

            reloadData: function () {
                if (typeof this._getClusterResolution !== 'function') {
                    var _this = this;
                    setTimeout(function () {
                        _this.reloadData();
                    }, 200);
                    console.log("reloadData");
                    return;
                }
                this._getClusterResolution(this._map);
                this.clear();
                this._clusterGraphics();

                //重新显示Popup
                //this._map.infoWindow.hide();
                //this.clearSingles();
                if (this._popupedClusterData != null)
                    this.locate(this._popupedClusterData);
            },

            // 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[i];
                    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);
                }
            },

            // public ClusterLayer methods
            adds: function (ps) {
                for (var j = 0; j < ps.length; j++) {
                    var p = ps[j];
                    // 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);
                }
                this.reloadData();
            },

            remove: function (p) {
                if (p.declaredClass) {
                    this.inherited(arguments);
                    return;
                }
                // look for an existing cluster for the new point
                for (var i = 0; i < this._clusterData.length; i++) {
                    var cd = this._clusterData[i];
                    if (cd.id == p.id) {
                        this._clusterData.splice(i, 1);
                        this.reloadData();
                        break;
                    }
                }
            },

            removes: function (ps) {
                for (var j = 0; j < ps.length; j++) {
                    var p = ps[j];
                    if (p.declaredClass) {
                        this.inherited(p);
                        continue;
                    }
                    // look for an existing cluster for the new point
                    for (var i = 0; i < this._clusterData.length; i++) {
                        var cd = this._clusterData[i];
                        if (cd.id == p.id) {
                            this._clusterData.splice(i, 1);
                            break;
                        }
                    }
                }
                this.reloadData();
            },

            removebyid: function (psid) {
                var clusterdata = [];
                for (var i = 0; i < this._clusterData.length; i++) {
                    var cd = this._clusterData[i];
                    if (psid.indexOf(cd.id) < 0) {
                        clusterdata.push(cd);
                    }
                }
                this._clusterData = clusterdata;
                this.reloadData();
            },

            locate: function (p, center, notShowInfowindow) {
                // look for an existing cluster for the new point
                var _this = this;
                if (!this._map) {
                    setTimeout(function () {
                        _this.locate(p, center, notShowInfowindow);
                    },200)
                    return;
                }
                var cp = null;
                for (var i = 0; i < this._clusterData.length; i++) {
                    var cd = this._clusterData[i];
                    if (cd.id == p.id) {
                        cp = cd;
                        break;
                    }
                }

                if (cp) {
                    // remove any previously showing single features
                    this.clearSingles(this._singles);
                    var cg = arrayUtils.filter(this.graphics, function (g) {
                        return g.symbol &&
                            g.symbol.declaredClass == "esri.symbol.PictureMarkerSymbol" &&
                            g.attributes.clusterId == cp.attributes.clusterId;
                    });
                    if (cg.length == 1) {
                        this._popupedClusterData = null;
                        var singles = [];
                        var index = 0;
                        for (var i = 0, il = this._clusterData.length; i < il; i++) {
                            if (cg[0].attributes.clusterId == this._clusterData[i].attributes.clusterId) {
                                singles.push(this._clusterData[i]);
                                if (this._popupedClusterData == null)
                                    this._popupedClusterData = this._clusterData[i];
                                if (this._clusterData[i].id == p.id) {
                                    index = singles.length - 1;
                                    this._popupedClusterData = this._clusterData[i];
                                }
                            }
                        }
                        var tmap = this._map;
                        this._addSingles(singles);
                        setTimeout(function () {
                            if (enableInfoWindow && !notShowInfowindow) {
                                tmap.infoWindow.show(cg[0].geometry);
                                tmap.infoWindow.resize(320, 340);//resize只能设置max-height
                                $(".contentPane").css("height", 340);
                            }
                            tmap.infoWindow.select(index);

                            if (center) {
                                var point = new Point({
                                    longitude: p.x,
                                    latitude: p.y
                                });
                                tmap.centerAt(point);
                            }
                        });

                    }
                }
                else {
                    var tmap = this._map;
                    setTimeout(function () {
                        tmap.infoWindow.hide();
                    });
                }
            },

            clear: function () {
                // Summary:  Remove all clusters and data points.
                this.inherited(arguments);
                this._clusters.length = 0;
            },

            clearData: function () {
                // Summary:  Remove all clusters, data and points.
                this.clear();
                this._clusterData = [];
                this._popupedClusterData = null;
                arrayUtils.clearCache();
            },

            clearSingles: function (singles) {
                // Summary:  Remove graphics that represent individual data points.
                var s = singles || this._singles;
                if (this._showSingles) {
                    arrayUtils.forEach(s, function (g) {
                        this.remove(g);
                    }, this);
                }
                this._singles.length = 0;
                this._map.infoWindow.clearFeatures();
            },

            onClick: function (e) {
                // 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
                this._popupedClusterData = null;
                var singles = [];
                for (var i = 0, il = this._clusterData.length; i < il; i++) {
                    if (e.graphic.attributes.clusterId == this._clusterData[i].attributes.clusterId) {
                        singles.push(this._clusterData[i]);
                        if (this._popupedClusterData == null)
                            this._popupedClusterData = this._clusterData[i];
                    }
                }

                //if (singles.length > this._maxSingles) {
                //    alert("Sorry, that cluster contains more than " + this._maxSingles + " points. Zoom in for more detail.");
                //    return;
                //} else {
                // stop the click from bubbling to the map
                e.stopPropagation();
                if (enableInfoWindow) {
                    this._map.infoWindow.show(e.graphic.geometry);
                    this._map.infoWindow.resize(320, 340);//resize只能设置max-height
                    $(".contentPane").css("height", 340);
                }
                this._addSingles(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[j];
                    var clustered = false;
                    var numClusters = this._clusters.length;
                    for (var i = 0; i < this._clusters.length; i++) {
                        var c = this._clusters[i];
                        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;

                if (p.attributes.Priority < cluster.attributes.Priority) {
                    cluster.attributes.Priority = p.attributes.Priority;
                    cluster.attributes.EmptyIconUrl = p.attributes.EmptyIconUrl;
                }
            },

            // 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;
                // 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": JSON.parse(JSON.stringify(p.attributes))
                };
                cluster.attributes.clusterCount = 1;
                cluster.attributes.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[i];
                    this._showCluster(c);
                }
            },

            _showCluster: function (c) {
                var point = new Point(c.x, c.y, this._sr);

                var iconUrl = "";
                if (c.attributes.clusterCount > 1)
                    iconUrl = c.attributes.EmptyIconUrl;
                else
                    iconUrl = c.attributes.IconUrl;

                var picSym = new PictureMarkerSymbol(iconUrl, 40, 65);//url,width,height
                picSym.setOffset(0, 29);
                this.add(
                    new Graphic(
                        point,
                        picSym,
                        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 TextSymbol(c.attributes.clusterCount.toString())
                    .setColor(new Color(this._clusterLabelColor))
                    .setOffset(0, this._clusterLabelOffset);
                var font = new Font();
                font.setSize(this._clusterLabelFontSize);
                font.setFamily(this._clusterLabelFontFamily);
                font.setWeight(this._clusterLabelFontWeight);
                label.setFont(font);

                this.add(
                    new Graphic(
                        point,
                        label,
                        c.attributes
                    )
                );
            },

            _addSingles: function (singles) {
                // add single graphics to the map
                arrayUtils.forEach(singles, function (p) {
                    var g = new Graphic(
                        new 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 = arrayUtils.filter(this.graphics, function (g) {
                    return g.symbol &&
                        g.symbol.declaredClass == "esri.symbol.PictureMarkerSymbol" &&
                        g.attributes.clusterId == c.attributes.clusterId;
                });
                if (cg.length == 1) {
                    // console.log("update label...found: ", label);
                    this.remove(cg[0]);
                }
                var picSym = new PictureMarkerSymbol(c.attributes.EmptyIconUrl, 40, 65);//url,width,height
                picSym.setOffset(0, 29);
                this.add(
                    new Graphic(
                        new Point(c.x, c.y, this._sr),
                        picSym,
                        c.attributes
                    )
                );

                //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 = arrayUtils.filter(this.graphics, function (g) {
                    return g.symbol &&
                        g.symbol.declaredClass == "esri.symbol.TextSymbol" &&
                        g.attributes.clusterId == c.attributes.clusterId;
                });
                if (label.length == 1) {
                    // console.log("update label...found: ", label);
                    this.remove(label[0]);
                }
                var newLabel = new TextSymbol(c.attributes.clusterCount)
                    .setColor(new Color(this._clusterLabelColor))
                    .setOffset(0, this._clusterLabelOffset);
                var font = new Font();
                font.setSize(this._clusterLabelFontSize);
                font.setFamily(this._clusterLabelFontFamily);
                font.setWeight(this._clusterLabelFontWeight);
                newLabel.setFont(font);

                this.add(
                    new Graphic(
                        new 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;
                arrayUtils.forEach(this._clusters, function (c) {
                    count += c.attributes.clusterCount;
                });
                console.log("In clusters:  ", count);
            }

        });
    });