/*global Raphael, d3 */
/*!
 * Parallel的兼容性定义
 */
;(function (name, definition) {
    if (typeof define === 'function') { // Module
        define(definition);
    } else { // Assign to common namespaces or simply the global object (window)
        this[name] = definition(function (id) { return this[id];});
    }
})('Parallel', function (require) {
    var DataV = require('DataV');
    var Axis = require('Axis');
    var Brush = require('Brush');

    /**
     * 构造函数
     * @param {Node|String|jQuery} node 容器节点，文档节点、ID或者通过jQuery查询出来的对象
     */
    var Parallel = DataV.extend(DataV.Chart, {
        initialize: function (node, options) {
            this.type = "Parallel";
            this.node = this.checkContainer(node);
            this.defaults = {};

            // Properties
            this.allDimensions = [];
            this.dimensions = [];
            this.dimensionType = {};
            this.dimensionDomain = {};
            this.dimensionExtent = {};

            // Canvas
            this.defaults.width = 750;
            this.defaults.height = 500;
            this.defaults.marginWidth = [20, 20, 20, 20];
            this.defaults.backgroundAttr = {"fill": "none", "stroke": "#ccc", "stroke-opacity": 0.4};
            this.defaults.foregroundAttr = {"fill": "none", "stroke": "steelblue", "stroke-opacity": 0.7};
            this.defaults.domainAttr = {"stroke": "#000"};
            this.defaults.tickAttr = {"stroke": "#000"};
            this.defaults.tickTextAttr = {};
            this.defaults.titleAttr = {};

            this.customEvent = {
                "brushstart": function () {},
                "brushend": function () {},
                "brush": function () {}
            };

            this.setOptions(options);
            this.createCanvas();
        }
    });

    /**
     * choose dimension
     * @param {array} dimen  Array of column names
     */
    Parallel.prototype.chooseDimensions = function (dimen) {
        var conf = this.defaults;
        this.dimensions = [];
        for (var i = 0, l = dimen.length; i<l; i++) {
            if ($.inArray(dimen[i], this.allDimensions) !== -1) {
                this.dimensions.push(dimen[i]);
            }
        }
    };

    /**
     * set dimension type, ordinal or quantitative
     * Examples:
     * ```
     *  parallel.setDimensionType({"cylinders": "ordinal", "year": "quantitative"});
     * ```
     * @param {Object} dimenType  dimension type obj
     */
    Parallel.prototype.setDimensionType = function (dimenType) {
        var conf = this.defaults,
            prop,
            type;
        if (dimenType) {
            for (prop in dimenType) {
                if (dimenType.hasOwnProperty(prop) && this.dimensionType[prop]) {
                    var type = dimenType[prop];
                    if (type !== "quantitative" && type !== "ordinal") {
                        throw new Error('Dimension type should be "quantitative" or "ordinal".');
                    }
                    if (this.dimensionType[prop] !== type) {
                        this.dimensionType[prop] = type;
                        this._setDefaultDimensionDomain(prop);
                    }
                }
            }
        }
    };

    /**
     * get dimensions extents
     * @return {Object} {key: dimension name(column name); value: dimenType("ordinal" or "quantitativ")}
     */
    Parallel.prototype.getDimensionExtents = function () {
        return $.extend({}, this.dimensionExtent);
    };

    
    /**
     * set dimension extent, if chart has been rendered, then refresh the chart;
     * Examples:
     * ```
     *  parallel.setDimensionExtent({
     *    "cylinders": ["6", "3"],
     *    "economy (mpg)": [35, 20]
     *  });
     * ```
     * @param {Object} dimenExtent {key: dimension name(column name); value: extent array;}
     */
    Parallel.prototype.setDimensionExtent = function (dimenExtent) {
        var conf = this.defaults;
        var dimen, i, l, extent;
        var rebrushNeeded = false;
        var ordinalExtent = [];

        if (arguments.length === 0) {
            // clean all extent
            this.dimensionExtent = {};
        } else {
            for (prop in dimenExtent) {
                if (dimenExtent.hasOwnProperty(prop) && this.dimensionType[prop]) {
                    extent = dimenExtent[prop];
                    if (!(extent instanceof Array)) {
                        throw new Error("extent should be an array");
                    } else {
                        if (extent.length !== 2) {
                            throw new Error("extent should be an array with two items, for example: [num1, num2]");
                        } else if (this.dimensionType[prop] === "quantitative") {
                            this.dimensionExtent[prop] = extent;
                            rebrushNeeded = true;
                            if (this.brush) {
                                this.y[prop].brush.extent(extent);
                                this.y[prop].brush.refresh();
                            }
                        } else if (this.dimensionType[prop] === "ordinal") {
                            if (typeof this.dimensionDomain[prop].itemIndex[extent[0]] === 'undefined'
                                    || typeof this.dimensionDomain[prop].itemIndex[extent[1]] === 'undefined') {
                                throw new Error(prop + " does not have value: " + extent[0] + " or " + extent[1]); 
                            } else {
                                rebrushNeeded = true;
                                ordinalExtent = this._getOrdinalExtent(prop, extent);
                                this.dimensionExtent[prop] = extent;
                                if (this.brush) {
                                    this.y[prop].brush.extent(ordinalExtent);
                                    this.y[prop].brush.refresh();
                                }
                            }
                        }
                    }
                }
            }
            if (rebrushNeeded && this.brush) {
                this.brush();
            }
        }
    };

    /**
     * get dimension types
     * @return {Object}  {key: dimension name(column name); value: dimenType("ordinal" or "quantitativ")}
     */
    Parallel.prototype.getDimensionTypes = function () {
        return $.extend({}, this.dimensionType);
    };

    /**
     * get dimension domain
     * @return {Object}  {key: dimension name(column name); value: extent array;}
     */
    Parallel.prototype.getDimensionDomains = function () {
        return $.extend({}, this.dimensionDomain);
    };

    /*!
     * get default ordinal dimension domain
     * @param {array} a: array of source ordinal column values
     * @return {array} unique string array
     */
    Parallel.prototype._setOrdinalDomain = function (a) {
        var uniq = [];
        var index = {};
        var i = -1, n = a.length, ai;
        while (++i < n) {
            if (typeof index[ai = a[i]] === 'undefined') {
                index[ai] = uniq.push(ai) - 1;
            }
        }
        uniq.itemIndex = index;
        return uniq;
    };

    /*!
     * set default dimension domain
     * @param {string} dimen: dimension string
     */
    Parallel.prototype._setDefaultDimensionDomain = function (dimen) {
        var conf = this.defaults;
        if(this.dimensionType[dimen] === "quantitative"){
            this.dimensionDomain[dimen] = d3.extent(this.source, function(p){return +p[dimen]});
        } else {
            this.dimensionDomain[dimen] = this._setOrdinalDomain(this.source.map(function(p){return p[dimen]}));
        }
    };

    /**
     * set dimension domain
     * Examples:
     * ```
     *  parallel.setDimensionDomain({
     *    "cylinders": [4, 8], //quantitative
     *    "year": ["75", "79", "80"] //ordinal
     *  });
     * ```
     * @param {Object} dimenDomain {key: dimension name(column name); value: domain array (quantitative domain is digit array whose length is 2, ordinal domain is string array whose length could be larger than 2;}
     */
    Parallel.prototype.setDimensionDomain = function (dimenDomain) {
        //set default dimensionDomain, extent for quantitative type, item array for ordinal type
        var conf = this.defaults;
        var dimen, i, l, domain;

        if (arguments.length === 0) {
            for (i = 0, l = this.allDimensions.length; i < l; i++) {
                dimen = this.allDimensions[i];
                this._setDefaultDimensionDomain(dimen);
            }
        } else {
            for (prop in dimenDomain) {
                if (dimenDomain.hasOwnProperty(prop) && this.dimensionType[prop]) {
                    domain = dimenDomain[prop];
                    if (!(domain instanceof Array)) {
                        throw new Error("domain should be an array");
                    } else {
                        if (this.dimensionType[prop] === "quantitative" && domain.length !== 2) {
                            throw new Error("quantitative's domain should be an array with two items, for example: [num1, num2]");
                        }
                        if (this.dimensionType[prop] === "quantitative") {
                            this.dimensionDomain[prop] = domain;
                        } else if (this.dimensionType[prop] === "ordinal") {
                            this.dimensionDomain[prop] = this._setOrdinalDomain(domain);
                        }
                    }
                }
            }
        }
    };

    /**
     * 侦听自定义事件
     */
    Parallel.prototype.on = function (eventName, callback) {
        if (_.indexOf(["brushstart", "brushend", "brush"], eventName)) {
            this.customEvent["brushstart"] = callback;
        }
    };

    /**
     * 设置数据源
     * Examples:
     * 第一行为列名
     * ```
     * [
     *  ["name", "weight", "year"],
     *  ["AMC", "2000", "79"],
     *  ["Buick", "2100", "80"]
     * ]
     * ```
     * @param {Array} source 二维数组的数据源
     */
    Parallel.prototype.setSource = function (source) {
        //source is 2-dimension array

        var conf = this.defaults;
        this.allDimensions = source[0];

        //by default all dimensions show
        this.dimensions = source[0];

        //this.source is array of line; key is dimension, value is line's value in that dimension
        this.source = [];
        for(var i=1, l=source.length; i<l; i++){
            var line = {},
                dimen = this.allDimensions;
            for(var j=0, ll=dimen.length; j<ll; j++){
                line[dimen[j]] = source[i][j];
            }
            this.source.push(line);
        }

        //judge dimesions type auto
        //if all number, quantitative else ordinal
        this.dimensionType = {};
        for (var i = 0, l = this.allDimensions.length; i < l; i++) {
            var type = "quantitative";
            for (var j=1, ll = source.length; j<ll; j++) {
                var d = source[j][i];
                if(d && (!DataV.isNumeric(d))){
                    type = "ordinal";
                    break;
                }
            }
            this.dimensionType[this.allDimensions[i]] = type;
        }

        this.setDimensionDomain();

    };

    /*!
     * chart layout
     */
    Parallel.prototype.layout = function () {
        //create x and y dimensions
        var conf = this.defaults,
            domain,
            i,
            j,
            l,
            ll;

        var m = conf.marginWidth,
            w = conf.width - m[1] - m[3],
            h = conf.height - m[0] - m[2];

        this.x = d3.scale.ordinal().rangePoints([0, w], 1),
        this.y = {};
        this.y2 = {};

        this.x.domain(d3.range(this.dimensions.length));//allow same dimension
        for(i=0, l=this.dimensions.length; i<l; i++){
            var dimen = this.dimensions[i];
            if(this.dimensionType[dimen] === "quantitative"){
                this.y[dimen] = d3.scale.linear()
                .domain(this.dimensionDomain[dimen])
                .range([h + m[0], m[0]]);
                this.y2[dimen] = d3.scale.linear()
                .domain(this.dimensionDomain[dimen])
                .range([h + m[0], m[0]]);
            }else{
                this.y[dimen] = d3.scale.ordinal()
                .domain(this.dimensionDomain[dimen])
                .rangeBands([h + m[0], m[0]]);
                this.y2[dimen] = d3.scale.linear()
                .domain([0, this.dimensionDomain[dimen].length])
                .range([h + m[0], m[0]]);
            }
        }
    };

    /*!
     * generate chart path
     */
    Parallel.prototype.generatePaths = function () {
        var conf = this.defaults;
        var axis = Axis().orient("left");

        var m = conf.marginWidth;

        var paper = this.canvas;

        this.bg = paper.set();
        var i, l;
        for (i = 0, l = this.source.length; i<l; i++) {
            var line = this.source[i];
            this.bg.push(paper.path(this.path(line)));
        }
        this.bg.attr(conf.backgroundAttr).attr({transform: "t" + m[3] + ',0'});
        
        this.fg = paper.set();
        for (i = 0, l = this.source.length; i<l; i++) {
            var line = this.source[i];
            this.fg.push(paper.path(this.path(line)));
        }
        this.fg.attr(conf.foregroundAttr).attr({transform: "t" + m[3] + ',0'});

        var dimensions = this.dimensions;
        
        for(i = 0, l = dimensions.length; i<l; i++){
            var ax=axis.scale(this.y[dimensions[i]])(paper);
            ax.push(paper.text(0, m[0] - 12, dimensions[i]).attr({"text-anchor": "middle"}));
            ax.attr({transform: "t" + (m[3] + this.x.range()[i] ) + ',0'});
        }

        var xInterval = Math.min(this.x.range()[1] - this.x.range()[0] - 20, 16);
        var brushs = [];

        this.statistic = {};
        this.statistic["selected"] = 0;
        this.statistic["all"] = this.source.length;
        this.statistic["items"] = {};
        var that = this;
        this.brush = function() {
                var statistic = that.statistic;
                var dimensionExtents = that.dimensionExtent;
                var actives = that.dimensions.filter(function(p) {
                        var empty = that.y[p].brush.empty();
                        if (empty) {
                            statistic.items[p] = -1;
                            dimensionExtents[p] = undefined;
                        } else {
                            statistic.items[p] = 0;
                        }
                        return !empty;
                    }),
                    extents = actives.map(function(p) {
                            var extent = that.y[p].brush.extent();
                            if (that.dimensionType[p] === "quantitative") {
                                that.dimensionExtent[p] = extent;
                            } else {
                                that.dimensionExtent[p] = [
                                    that.dimensionDomain[p][Math.ceil(extent[0] - 0.5)],
                                    that.dimensionDomain[p][Math.floor(extent[1] - 0.5)]
                                ];
                            }
                            return extent;
                        });
                var i, j, l, ll, p;
                var d, value, inExtent, selected;
                //var brush, dimen;

                statistic["selected"] = 0;
                
                for (j=0, l=that.fg.length; j<l; j++) {
                    d = that.source[j];
                    selected = true;
                    for (i = 0, ll = actives.length; i < ll; i++) {
                        p = actives[i];
                        value = that.dimensionType[p] === "quantitative" ?
                                d[p] : that.dimensionDomain[p].itemIndex[d[p]] + 0.5;
                        inExtent = extents[i][0] <= value && value <= extents[i][1];
                        if (inExtent) { statistic.items[p] += 1;}
                        if (!inExtent) {selected = false;}
                    }
                    if (selected) {
                        statistic["selected"] += 1;
                        that.fg[j].attr({"stroke": "steelblue"});
                    } else {
                        that.fg[j].attr({"stroke": "none"});
                    }
                }

                that.customEvent["brush"].call(that);
            },
            brushstart = function () {
                that.customEvent["brushstart"].call(that);
            },
            brushend = function () {
                that.customEvent["brushend"].call(that);
            };

        var b, start, end, temp;

        for (var i = 0, l = dimensions.length; i<l; i++) {
            dimen = dimensions[i];
            b = Brush().y(this.y2[dimen])
                .left(m[3] + this.x.range()[i] - xInterval/2)
                .width(xInterval)
                .backgroundAttr({"opacity": 0, "fill": "white"})
                .foregroundAttr({"opacity": 0.5, "fill": "gray"})
                .on("brushstart", brushstart)
                .on("brush", this.brush)
                .on("brushend", brushend);
            if (typeof this.dimensionExtent[dimen] !== 'undefined') {
                if (this.dimensionType[dimen] === "quantitative") {
                    b.extent(this.dimensionExtent[dimen]);
                } else {
                    b.extent(this._getOrdinalExtent(dimen, this.dimensionExtent[dimen]));
                }
            }

            this.y[dimen].brush = b(paper);
            //this.y[dimensions[i]].brush.dimension = dimensions[i];
        }
        if (!$.isEmptyObject(this.dimensionExtent)) {
            this.brush();
        }
    };

    /*!
     * get Ordinal Extent between two string of one dimension
     * @param {string} dimen: dimension name(column name)
     * @param {array} stringArray: array of 2 strings, like ["Jan", "May"]
     * @return {array} array of string, like ["Jan", "Feb", "Mar", "Apr", "May"]
     */
    Parallel.prototype._getOrdinalExtent = function (dimen, stringArray) {
        start = this.dimensionDomain[dimen].itemIndex[stringArray[0]];
        end = this.dimensionDomain[dimen].itemIndex[stringArray[1]];
        if (start > end) {
            temp = start;
            start = end;
            end = temp;
        }
        start = Math.max(0, start + 0.5 - 0.5);
        end = Math.min(this.dimensionDomain[dimen].length, end + 0.5 + 0.5);
        return [start, end];
    };

    /*!
     * create canvas
     */
    Parallel.prototype.createCanvas = function () {
        var conf = this.defaults;
        this.node.style.position = "relative";
        this.canvas = Raphael(this.node, conf.width, conf.height);

        //console.log(this.canvas);
    };

    /*!
     * get color
     */
    Parallel.prototype.getColor = function (colorJson) {
        var colorM = DataV.getColor();
        var color;
        var colorStyle = colorJson ? colorJson : {};
        var colorMode = colorStyle.mode ? colorStyle.mode : 'default';
        switch (colorMode){
            case "gradient":
                var index = colorJson.index ? colorJson.index : 0;
                index = index <0 ? 0 : (index>colorM.length-1 ? colorM.length-1 : index);
                color = d3.interpolateRgb.apply(null, [colorM[index][0],colorM[index][1]]);
                break;
            case "random":
            case "default":
                var ratio = colorStyle.ratio ? colorStyle.ratio : 0;
                if(ratio <0 ){ratio=0;}
                if(ratio > 1) { ratio =1;}
                var colorArray =[];
                for (var i=0, l=colorM.length; i<l; i++) {
                    var colorFunc = d3.interpolateRgb.apply(null, [colorM[i][0],colorM[i][1]]);
                    colorArray[colorArray.length]=colorFunc(ratio);
                }
                color = d3.scale.ordinal().range(colorArray);
                break;
        }
        return color;
    };

    /**
     * 绘制图表
     */
    Parallel.prototype.render = function (options) {
        this.setOptions(options);
        this.layout();
        this.generatePaths();
    };

    /*!
     * compute line path of one row data
     * @param {Object} d {key: dimension name(column name); value: value of related dimension;}
     * @return {string} svg line path string
     */
    Parallel.prototype.path = function (d) {
        var line = d3.svg.line();
        var conf = this.defaults;
        var y = this.y;
        var x = this.x;
        var dimensions = this.dimensions;
        var dimensionType = this.dimensionType;
        return line(dimensions.map(function(p, i) {
            var yLoc = y[p](d[p]);
            if(dimensionType[p] === "ordinal"){
                yLoc +=  y[p].rangeBand()/2;
            }
            return [x(i), yLoc];
        }));
    };

    return Parallel;
});