TableFilter/src/modules/colOps.js.map

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* as dom from '../dom';\r\nimport * as str from '../string';\r\n\r\nexport class ColOps{\r\n\r\n    /**\r\n     * Column calculations\r\n     * @param {Object} tf TableFilter instance\r\n     */\r\n    constructor(tf) {\r\n        var f = tf.fObj;\r\n        this.colOperation = f.col_operation;\r\n\r\n        this.tf = tf;\r\n    }\r\n\r\n    /**\r\n     * Calculates columns' values\r\n     * Configuration options are stored in 'colOperation' property\r\n     * - 'id' contains ids of elements showing result (array)\r\n     * - 'col' contains the columns' indexes (array)\r\n     * - 'operation' contains operation type (array, values: 'sum', 'mean',\r\n     *   'min', 'max', 'median', 'q1', 'q3')\r\n     * - 'write_method' array defines which method to use for displaying the\r\n     *    result (innerHTML, setValue, createTextNode) - default: 'innerHTML'\r\n     * - 'tot_row_index' defines in which row results are displayed\r\n     *   (integers array)\r\n     *\r\n     * - changes made by Nuovella:\r\n     * (1) optimized the routine (now it will only process each column once),\r\n     * (2) added calculations for the median, lower and upper quartile.\r\n     */\r\n    set() {\r\n        if(!this.tf.isFirstLoad && !this.tf.hasGrid){\r\n            return;\r\n        }\r\n\r\n        if(this.tf.onBeforeOperation){\r\n            this.tf.onBeforeOperation.call(null, this.tf);\r\n        }\r\n\r\n        var colOperation = this.colOperation,\r\n            labelId = colOperation.id,\r\n            colIndex = colOperation.col,\r\n            operation = colOperation.operation,\r\n            outputType = colOperation.write_method,\r\n            totRowIndex = colOperation.tot_row_index,\r\n            excludeRow = colOperation.exclude_row,\r\n            decimalPrecision = colOperation.decimal_precision !== undefined ?\r\n                colOperation.decimal_precision : 2;\r\n\r\n        //nuovella: determine unique list of columns to operate on\r\n        var ucolIndex = [],\r\n            ucolMax = 0;\r\n        ucolIndex[ucolMax] = colIndex[0];\r\n\r\n        for(var ii=1; ii<colIndex.length; ii++){\r\n            var saved = 0;\r\n            //see if colIndex[ii] is already in the list of unique indexes\r\n            for(var jj=0; jj<=ucolMax; jj++){\r\n                if(ucolIndex[jj] === colIndex[ii]){\r\n                    saved = 1;\r\n                }\r\n            }\r\n            //if not saved then, save the index;\r\n            if (saved === 0){\r\n                ucolMax++;\r\n                ucolIndex[ucolMax] = colIndex[ii];\r\n            }\r\n        }\r\n\r\n        if(str.lower(typeof labelId)=='object' &&\r\n            str.lower(typeof colIndex)=='object' &&\r\n            str.lower(typeof operation)=='object'){\r\n            var row = this.tf.tbl.rows,\r\n                colvalues = [];\r\n\r\n            for(var ucol=0; ucol<=ucolMax; ucol++){\r\n                //this retrieves col values\r\n                //use ucolIndex because we only want to pass through this loop\r\n                //once for each column get the values in this unique column\r\n                colvalues.push(\r\n                    this.tf.GetColValues(ucolIndex[ucol], true, excludeRow));\r\n\r\n                //next: calculate all operations for this column\r\n                var result,\r\n                    nbvalues=0,\r\n                    temp,\r\n                    meanValue=0,\r\n                    sumValue=0,\r\n                    minValue=null,\r\n                    maxValue=null,\r\n                    q1Value=null,\r\n                    medValue=null,\r\n                    q3Value=null,\r\n                    meanFlag=0,\r\n                    sumFlag=0,\r\n                    minFlag=0,\r\n                    maxFlag=0,\r\n                    q1Flag=0,\r\n                    medFlag=0,\r\n                    q3Flag=0,\r\n                    theList=[],\r\n                    opsThisCol=[],\r\n                    decThisCol=[],\r\n                    labThisCol=[],\r\n                    oTypeThisCol=[],\r\n                    mThisCol=-1;\r\n\r\n                for(var k=0; k<colIndex.length; k++){\r\n                     if(colIndex[k] === ucolIndex[ucol]){\r\n                        mThisCol++;\r\n                        opsThisCol[mThisCol]=str.lower(operation[k]);\r\n                        decThisCol[mThisCol]=decimalPrecision[k];\r\n                        labThisCol[mThisCol]=labelId[k];\r\n                        oTypeThisCol = outputType !== undefined &&\r\n                            str.lower(typeof outputType)==='object' ?\r\n                            outputType[k] : null;\r\n\r\n                        switch(opsThisCol[mThisCol]){\r\n                            case 'mean':\r\n                                meanFlag=1;\r\n                            break;\r\n                            case 'sum':\r\n                                sumFlag=1;\r\n                            break;\r\n                            case 'min':\r\n                                minFlag=1;\r\n                            break;\r\n                            case 'max':\r\n                                maxFlag=1;\r\n                            break;\r\n                            case 'median':\r\n                                medFlag=1;\r\n                                break;\r\n                            case 'q1':\r\n                                q1Flag=1;\r\n                            break;\r\n                            case 'q3':\r\n                                q3Flag=1;\r\n                            break;\r\n                        }\r\n                    }\r\n                }\r\n\r\n                for(var j=0; j<colvalues[ucol].length; j++){\r\n                    //sort the list for calculation of median and quartiles\r\n                    if((q1Flag==1)|| (q3Flag==1) || (medFlag==1)){\r\n                        if (j<colvalues[ucol].length -1){\r\n                            for(k=j+1; k<colvalues[ucol].length; k++) {\r\n                                if(eval(colvalues[ucol][k]) <\r\n                                    eval(colvalues[ucol][j])){\r\n                                    temp = colvalues[ucol][j];\r\n                                    colvalues[ucol][j] = colvalues[ucol][k];\r\n                                    colvalues[ucol][k] = temp;\r\n                                }\r\n                            }\r\n                        }\r\n                    }\r\n                    var cvalue = parseFloat(colvalues[ucol][j]);\r\n                    theList[j] = parseFloat(cvalue);\r\n\r\n                    if(!isNaN(cvalue)){\r\n                        nbvalues++;\r\n                        if(sumFlag===1 || meanFlag===1){\r\n                            sumValue += parseFloat( cvalue );\r\n                        }\r\n                        if(minFlag===1){\r\n                            if(minValue===null){\r\n                                minValue = parseFloat( cvalue );\r\n                            } else{\r\n                                minValue = parseFloat( cvalue ) < minValue ?\r\n                                    parseFloat( cvalue ): minValue;\r\n                            }\r\n                        }\r\n                        if(maxFlag===1){\r\n                            if (maxValue===null){\r\n                                maxValue = parseFloat( cvalue );\r\n                            } else {\r\n                                maxValue = parseFloat( cvalue ) > maxValue ?\r\n                                    parseFloat( cvalue ): maxValue;\r\n                            }\r\n                        }\r\n                    }\r\n                }//for j\r\n                if(meanFlag===1){\r\n                    meanValue = sumValue/nbvalues;\r\n                }\r\n                if(medFlag===1){\r\n                    var aux = 0;\r\n                    if(nbvalues%2 === 1){\r\n                        aux = Math.floor(nbvalues/2);\r\n                        medValue = theList[aux];\r\n                    } else{\r\n                        medValue =\r\n                            (theList[nbvalues/2] + theList[((nbvalues/2)-1)])/2;\r\n                    }\r\n                }\r\n                var posa;\r\n                if(q1Flag===1){\r\n                    posa=0.0;\r\n                    posa = Math.floor(nbvalues/4);\r\n                    if(4*posa == nbvalues){\r\n                        q1Value = (theList[posa-1] + theList[posa])/2;\r\n                    } else {\r\n                        q1Value = theList[posa];\r\n                    }\r\n                }\r\n                if (q3Flag===1){\r\n                    posa=0.0;\r\n                    var posb=0.0;\r\n                    posa = Math.floor(nbvalues/4);\r\n                    if (4*posa === nbvalues){\r\n                        posb = 3*posa;\r\n                        q3Value = (theList[posb] + theList[posb-1])/2;\r\n                    } else {\r\n                        q3Value = theList[nbvalues-posa-1];\r\n                    }\r\n                }\r\n\r\n                for(var i=0; i<=mThisCol; i++){\r\n                    switch( opsThisCol[i] ){\r\n                        case 'mean':\r\n                            result=meanValue;\r\n                        break;\r\n                        case 'sum':\r\n                            result=sumValue;\r\n                        break;\r\n                        case 'min':\r\n                            result=minValue;\r\n                        break;\r\n                        case 'max':\r\n                            result=maxValue;\r\n                        break;\r\n                        case 'median':\r\n                            result=medValue;\r\n                            break;\r\n                        case 'q1':\r\n                            result=q1Value;\r\n                        break;\r\n                        case 'q3':\r\n                            result=q3Value;\r\n                        break;\r\n                    }\r\n\r\n                    var precision = !isNaN(decThisCol[i]) ? decThisCol[i] : 2;\r\n\r\n                    //if outputType is defined\r\n                    if(oTypeThisCol && result){\r\n                        result = result.toFixed( precision );\r\n\r\n                        if(dom.id(labThisCol[i])){\r\n                            switch( str.lower(oTypeThisCol) ){\r\n                                case 'innerhtml':\r\n                                    if (isNaN(result) || !isFinite(result) ||\r\n                                        nbvalues===0){\r\n                                        dom.id(labThisCol[i]).innerHTML = '.';\r\n                                    } else{\r\n                                        dom.id(labThisCol[i]).innerHTML = result;\r\n                                    }\r\n                                break;\r\n                                case 'setvalue':\r\n                                    dom.id( labThisCol[i] ).value = result;\r\n                                break;\r\n                                case 'createtextnode':\r\n                                    var oldnode = dom.id(labThisCol[i])\r\n                                        .firstChild;\r\n                                    var txtnode = dom.text(result);\r\n                                    dom.id(labThisCol[i])\r\n                                        .replaceChild(txtnode, oldnode);\r\n                                break;\r\n                            }//switch\r\n                        }\r\n                    } else {\r\n                        try{\r\n                            if(isNaN(result) || !isFinite(result) ||\r\n                                nbvalues===0){\r\n                                dom.id(labThisCol[i]).innerHTML = '.';\r\n                            } else {\r\n                                dom.id(labThisCol[i]).innerHTML =\r\n                                    result.toFixed(precision);\r\n                            }\r\n                        } catch(e) {}//catch\r\n                    }//else\r\n                }//for i\r\n\r\n                // row(s) with result are always visible\r\n                var totRow = totRowIndex && totRowIndex[ucol] ?\r\n                                row[totRowIndex[ucol]] : null;\r\n                if(totRow){\r\n                    totRow.style.display = '';\r\n                }\r\n            }//for ucol\r\n        }//if typeof\r\n\r\n        if(this.tf.onAfterOperation){\r\n            this.tf.onAfterOperation.call(null, this.tf);\r\n        }\r\n    }\r\n\r\n}"]}