嘗試使用 javascript 解析 rtf 文件

Question

我有一個 rtf 文件可以上傳，一旦上傳，我希望它被解析並轉換為 json 文件。 為此，我主要使用 angular。 我的上傳工作正常，我只是在解析時遇到問題。 該文件確實得到了清理，但它沒有正確格式化為 json 文件。有人對最好的做法有什么建議嗎？

this.parseFile=function(file, uploadUrl){

    reader.onload = function(onLoadEvent){

        $rootScope.$apply(function(){
            var dataURL = reader.result;
            setUpData(dataURL);
        });

    };
    reader.readAsText(file);
};
function saveFile(file){

    var fd = new FormData();
    fd.append('save_file', file);
    $http({
        method: 'POST',
        url: "includes/loadFile.php",
        data: fd,
        transformRequest: angular.identity,
        headers: {'Content-Type': undefined}

    })
    .success(function (data, status, headers, config) {
        msg = {
                title: "success",
                cls: "success",
                msg: data
        };
        popUp(msg);
    })
    .error(function (data, status, header, config) {
        msg = {
                title: "error",
                cls: "danger",
                msg: data
        };
        popUp(msg);
    });
};
function setUpData(data)
{
    text = data;

    text = text.replace('/[\p{Z}\s]{2,}/u', ' ');
    // skip over the heading stuff
    j= text.indexOf('{',1); // skip ahead to the first part of the header

    var loc = 1;
    var t ="";

    var ansa="";
    len = text.length;

    getpgraph(); // skip by the first paragrap

    while(j<len) {
        c = text.substr(j,1);
        if (c=="\\") {
            // have a tag
            var tag = gettag();
            if (tag.length > 0) {
                // process known tags
                switch (tag) {
                    case 'par':
                        ansa+="\r\n";
                    break;
                    // ad a list of common tags
                    // parameter tags
                    case 'spriority1':
                    case 'fprq2':
                    case 'author':
                    case 'operator':
                    case 'sqformat':
                    case 'company':
                    case 'xmlns1':
                    case 'wgrffmtfilter':
                    case 'pnhang':
                    case 'themedata':
                    case 'colorschememapping':
                        var tt = gettag();
                    break;
                    case '*':
                    case 'info':
                    case 'stylesheet':
                        // gets to end of paragraph
                        j--;
                        getpgraph();
                    default:
                    // ignore the tag
                }
            }
         } else {
            ansa += c;
         }
         j++;
    };

    ansa = ansa.replace(/{|}|"|( | )\r/g,'');
    ansa = ansa.replace(/Amount After|Amt After/g,'');
    ansa = ansa.replace(/negetive amount means Refund NOTE: Layaways are not in Sales Report till they're paid off/g,'');
    ansa = ansa.replace("On Line Vendor Sales Quick Report by Month",'');
    ansa = ansa.replace(/  ( )  /g,'');

    ansa.trim();
    ansa.split("\n");

    console.log(ansa);

    var newData = new Array();
    var vendor = new Array();
    var orders = new Array();
    var v = 0;

    //Lets look for the line that has the word vendor
    vendorLine = ansa.match(/Vendor/gi);

    //Look for each order for the vendor
    orderLine = ansa.match(/date/gi);
    figuresLine = ansa.match(/figures/g);

    var start;
    var end;
    for(arr = 0; arr <=ansa.length; arr++)
    {

    }

    if(vendorLine) 
    {
        vendorInfo = ansa.split(' ',ansa.replace('/Vendor|\r|\s/','') ); 
        vendorFName = vendorInfo[0];
        vendorLName = vendorInfo[1];
        vendorID = vendorInfo[2];
        vendor = {vendorid: vendorID, vendorInfo:{fname: vendorFName,lname:vendorLName} , orders:orders};


    }

    if( orderLine ) 
    {
        start = 1;
    }

    if( figuresLine ) 
    {
        end = 0;
    }
    if( !end || !start)
    {
        if( end < start  )
        {
            ordersLine = explode(" ",v);
            orderDesc = new Array();
            //Remove the stuff we dont need. Like Qty ,Subtotal and Inv#. Once we remove them we reindex them
            unset(ordersLine[0],ordersLine[2],ordersLine[count(ordersLine)]); // Removes Subtotal and Inv#
            unset(ordersLine[count(ordersLine)]); // Removes QTY
            ordersLine = array_values(ordersLine);

            orderDate = ordersLine[0];
            orderAmt = end(ordersLine);

            /*foreach (ordersLine as key=>value)
            {
                if(key != 0)
                {
                    if(key != count(ordersLine)-1)
                    {
                        array_push(orderDesc,value);
                        orderLines = array("vendorid"=>vendorID,"order"=>array("date"=> orderDate,"desc"=> implode(" " ,orderDesc), "amount"=>orderAmt) );
                    }
                };
            }*/
        }

    }
    vendor['orders'] = orders;

    saveFile(ansa);
}
function gettag() {
    // gets the text following the / character or gets the param if it there

    var tag='';
    while(true) {
        j++;
        if (j>=len) break;
        c = text.substr(j,1);
        if (c==';') break;
        if (c=='}') break;
        if (c=="\\") {
            j--;
            break;
        }
        if (c=="{") {
            //getpgraph();
            break;
        }
        if (((c>='0')&&(c<='9'))||((c>='a')&&(c<='z'))||((c>='A')&&(c<='Z'))||c=="'"||c=="-"||c=="*" ){
            tag= tag+c;
        } else {
            // end of tag
            j--;
            break;
        }
    }
    return tag;
}

function getpgraph() {
    // if the first char after a tag is { then throw out the entire paragraph
    // this has to be nested

    var nest = 0;
    while(true) {
        j++;
        if (j>=len) break;
        if (text.substr(j,1)=='}') {

            if (nest==0) return;
            nest--;
        }
        if (text.substr(j,1)=='{') {
            nest++;
        }
    }
    return;
}

我期望從這里創建一個干凈的格式良好的 JSON 文件，然后它可以在用戶所在的頁面上顯示回用戶。基本上用新上傳的解析數據刷新頁面。

Answer 1

有一個 JS RTF 解析器可能會有所幫助。 然后您需要對結果進行 json 編碼。 https://github.com/lazygyu/RTF-parser

不確定這是否能回答您的問題，但更多信息可能有助於鎖定修復程序。