My current table looks like this:
Status
Draft
Pending
Complete
I want to sort them based on the value of the cells. Is there a way to do that? I've only been able to sort them using this code:
onChange(status: string){
const sortState: Sort = {active: status, direction: 'desc'};
this.sort.active = sortState.active;
this.sort.direction = sortState.direction;
this.sort.sortChange.emit(sortState);
}
But I want to sort using the values of the status themselves since I'd want to create a button which when click sorts starting from complete or draft or pending.
I'm a little confused by your question, but I think I understand what you're asking.
You're going to want to convert your values into an array and then use the .sort() function. So, assuming you have an array of your cells, we can call that let array = Cell[], you can then access the status of the cells like this:
sortCells(){
let array = Cell[]; // here we're assuming there is already a cell type and a cell.active parameter, like shown in your example.
let possibleValues = ["Draft","Pending","Complete"]; // easier way to compare two values
array.sort((a,b)=>{
let aIndex = possibleValues.indexOf(a.active); // index of gets the location of the element in an array
let bIndex = possibleValues.indexOf(b.active);
if(a > b){
return -1;
} else if(b > a){
return 1;
}else{
return 0; // they are equal
}
})
}
You can read more about sort here: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort
I am trying to pars a xml file into new google users,
This xml file contains the usernames made from the front and last name of the specified user. However when creating users it generates an error becaus some names have ilegal caracters in them.
These ilegal caracts are stuff like
ï ë é í
etc
Now i made a function which loops trough every username from the xml file and checks every caracter if it is one of the ilegal caracters and replaces them with there "normal" counterpart (fe) ä --> a.
but is there a way to automaticly convert all special caracters to there normal counterpart?
so i am searching for a function with the interface var
Username = ConvertUserName(UserNameWithIlegalCaracters);
now i am looping trough the caracters in the username and checking for each of them if they are (by refering to a list) if they are ilegal caracters and replacing them.
However now the program will fail if there are any ilegal caracters added to the names which are not in my list.
Anytime you're looking for an answer about how to do something in Google Apps Script, but it has little-or-nothing to do with Google services, check javascript first.
Search javascript diacritics: 68 results
You'll most likely find the function you need in Remove accents/diacritics in a string in JavaScript, which compares the performance of several options.
Below is the one that was fastest. To use, var userName = removeDiacritics(userNameWithIllegalCharacters);
var defaultDiacriticsRemovalap = [
{'base':'A', 'letters':'\u0041\u24B6\uFF21\u00C0\u00C1\u00C2\u1EA6\u1EA4\u1EAA\u1EA8\u00C3\u0100\u0102\u1EB0\u1EAE\u1EB4\u1EB2\u0226\u01E0\u00C4\u01DE\u1EA2\u00C5\u01FA\u01CD\u0200\u0202\u1EA0\u1EAC\u1EB6\u1E00\u0104\u023A\u2C6F'},
{'base':'AA','letters':'\uA732'},
{'base':'AE','letters':'\u00C6\u01FC\u01E2'},
{'base':'AO','letters':'\uA734'},
{'base':'AU','letters':'\uA736'},
{'base':'AV','letters':'\uA738\uA73A'},
{'base':'AY','letters':'\uA73C'},
{'base':'B', 'letters':'\u0042\u24B7\uFF22\u1E02\u1E04\u1E06\u0243\u0182\u0181'},
{'base':'C', 'letters':'\u0043\u24B8\uFF23\u0106\u0108\u010A\u010C\u00C7\u1E08\u0187\u023B\uA73E'},
{'base':'D', 'letters':'\u0044\u24B9\uFF24\u1E0A\u010E\u1E0C\u1E10\u1E12\u1E0E\u0110\u018B\u018A\u0189\uA779'},
{'base':'DZ','letters':'\u01F1\u01C4'},
{'base':'Dz','letters':'\u01F2\u01C5'},
{'base':'E', 'letters':'\u0045\u24BA\uFF25\u00C8\u00C9\u00CA\u1EC0\u1EBE\u1EC4\u1EC2\u1EBC\u0112\u1E14\u1E16\u0114\u0116\u00CB\u1EBA\u011A\u0204\u0206\u1EB8\u1EC6\u0228\u1E1C\u0118\u1E18\u1E1A\u0190\u018E'},
{'base':'F', 'letters':'\u0046\u24BB\uFF26\u1E1E\u0191\uA77B'},
{'base':'G', 'letters':'\u0047\u24BC\uFF27\u01F4\u011C\u1E20\u011E\u0120\u01E6\u0122\u01E4\u0193\uA7A0\uA77D\uA77E'},
{'base':'H', 'letters':'\u0048\u24BD\uFF28\u0124\u1E22\u1E26\u021E\u1E24\u1E28\u1E2A\u0126\u2C67\u2C75\uA78D'},
{'base':'I', 'letters':'\u0049\u24BE\uFF29\u00CC\u00CD\u00CE\u0128\u012A\u012C\u0130\u00CF\u1E2E\u1EC8\u01CF\u0208\u020A\u1ECA\u012E\u1E2C\u0197'},
{'base':'J', 'letters':'\u004A\u24BF\uFF2A\u0134\u0248'},
{'base':'K', 'letters':'\u004B\u24C0\uFF2B\u1E30\u01E8\u1E32\u0136\u1E34\u0198\u2C69\uA740\uA742\uA744\uA7A2'},
{'base':'L', 'letters':'\u004C\u24C1\uFF2C\u013F\u0139\u013D\u1E36\u1E38\u013B\u1E3C\u1E3A\u0141\u023D\u2C62\u2C60\uA748\uA746\uA780'},
{'base':'LJ','letters':'\u01C7'},
{'base':'Lj','letters':'\u01C8'},
{'base':'M', 'letters':'\u004D\u24C2\uFF2D\u1E3E\u1E40\u1E42\u2C6E\u019C'},
{'base':'N', 'letters':'\u004E\u24C3\uFF2E\u01F8\u0143\u00D1\u1E44\u0147\u1E46\u0145\u1E4A\u1E48\u0220\u019D\uA790\uA7A4'},
{'base':'NJ','letters':'\u01CA'},
{'base':'Nj','letters':'\u01CB'},
{'base':'O', 'letters':'\u004F\u24C4\uFF2F\u00D2\u00D3\u00D4\u1ED2\u1ED0\u1ED6\u1ED4\u00D5\u1E4C\u022C\u1E4E\u014C\u1E50\u1E52\u014E\u022E\u0230\u00D6\u022A\u1ECE\u0150\u01D1\u020C\u020E\u01A0\u1EDC\u1EDA\u1EE0\u1EDE\u1EE2\u1ECC\u1ED8\u01EA\u01EC\u00D8\u01FE\u0186\u019F\uA74A\uA74C'},
{'base':'OI','letters':'\u01A2'},
{'base':'OO','letters':'\uA74E'},
{'base':'OU','letters':'\u0222'},
{'base':'OE','letters':'\u008C\u0152'},
{'base':'oe','letters':'\u009C\u0153'},
{'base':'P', 'letters':'\u0050\u24C5\uFF30\u1E54\u1E56\u01A4\u2C63\uA750\uA752\uA754'},
{'base':'Q', 'letters':'\u0051\u24C6\uFF31\uA756\uA758\u024A'},
{'base':'R', 'letters':'\u0052\u24C7\uFF32\u0154\u1E58\u0158\u0210\u0212\u1E5A\u1E5C\u0156\u1E5E\u024C\u2C64\uA75A\uA7A6\uA782'},
{'base':'S', 'letters':'\u0053\u24C8\uFF33\u1E9E\u015A\u1E64\u015C\u1E60\u0160\u1E66\u1E62\u1E68\u0218\u015E\u2C7E\uA7A8\uA784'},
{'base':'T', 'letters':'\u0054\u24C9\uFF34\u1E6A\u0164\u1E6C\u021A\u0162\u1E70\u1E6E\u0166\u01AC\u01AE\u023E\uA786'},
{'base':'TZ','letters':'\uA728'},
{'base':'U', 'letters':'\u0055\u24CA\uFF35\u00D9\u00DA\u00DB\u0168\u1E78\u016A\u1E7A\u016C\u00DC\u01DB\u01D7\u01D5\u01D9\u1EE6\u016E\u0170\u01D3\u0214\u0216\u01AF\u1EEA\u1EE8\u1EEE\u1EEC\u1EF0\u1EE4\u1E72\u0172\u1E76\u1E74\u0244'},
{'base':'V', 'letters':'\u0056\u24CB\uFF36\u1E7C\u1E7E\u01B2\uA75E\u0245'},
{'base':'VY','letters':'\uA760'},
{'base':'W', 'letters':'\u0057\u24CC\uFF37\u1E80\u1E82\u0174\u1E86\u1E84\u1E88\u2C72'},
{'base':'X', 'letters':'\u0058\u24CD\uFF38\u1E8A\u1E8C'},
{'base':'Y', 'letters':'\u0059\u24CE\uFF39\u1EF2\u00DD\u0176\u1EF8\u0232\u1E8E\u0178\u1EF6\u1EF4\u01B3\u024E\u1EFE'},
{'base':'Z', 'letters':'\u005A\u24CF\uFF3A\u0179\u1E90\u017B\u017D\u1E92\u1E94\u01B5\u0224\u2C7F\u2C6B\uA762'},
{'base':'a', 'letters':'\u0061\u24D0\uFF41\u1E9A\u00E0\u00E1\u00E2\u1EA7\u1EA5\u1EAB\u1EA9\u00E3\u0101\u0103\u1EB1\u1EAF\u1EB5\u1EB3\u0227\u01E1\u00E4\u01DF\u1EA3\u00E5\u01FB\u01CE\u0201\u0203\u1EA1\u1EAD\u1EB7\u1E01\u0105\u2C65\u0250'},
{'base':'aa','letters':'\uA733'},
{'base':'ae','letters':'\u00E6\u01FD\u01E3'},
{'base':'ao','letters':'\uA735'},
{'base':'au','letters':'\uA737'},
{'base':'av','letters':'\uA739\uA73B'},
{'base':'ay','letters':'\uA73D'},
{'base':'b', 'letters':'\u0062\u24D1\uFF42\u1E03\u1E05\u1E07\u0180\u0183\u0253'},
{'base':'c', 'letters':'\u0063\u24D2\uFF43\u0107\u0109\u010B\u010D\u00E7\u1E09\u0188\u023C\uA73F\u2184'},
{'base':'d', 'letters':'\u0064\u24D3\uFF44\u1E0B\u010F\u1E0D\u1E11\u1E13\u1E0F\u0111\u018C\u0256\u0257\uA77A'},
{'base':'dz','letters':'\u01F3\u01C6'},
{'base':'e', 'letters':'\u0065\u24D4\uFF45\u00E8\u00E9\u00EA\u1EC1\u1EBF\u1EC5\u1EC3\u1EBD\u0113\u1E15\u1E17\u0115\u0117\u00EB\u1EBB\u011B\u0205\u0207\u1EB9\u1EC7\u0229\u1E1D\u0119\u1E19\u1E1B\u0247\u025B\u01DD'},
{'base':'f', 'letters':'\u0066\u24D5\uFF46\u1E1F\u0192\uA77C'},
{'base':'g', 'letters':'\u0067\u24D6\uFF47\u01F5\u011D\u1E21\u011F\u0121\u01E7\u0123\u01E5\u0260\uA7A1\u1D79\uA77F'},
{'base':'h', 'letters':'\u0068\u24D7\uFF48\u0125\u1E23\u1E27\u021F\u1E25\u1E29\u1E2B\u1E96\u0127\u2C68\u2C76\u0265'},
{'base':'hv','letters':'\u0195'},
{'base':'i', 'letters':'\u0069\u24D8\uFF49\u00EC\u00ED\u00EE\u0129\u012B\u012D\u00EF\u1E2F\u1EC9\u01D0\u0209\u020B\u1ECB\u012F\u1E2D\u0268\u0131'},
{'base':'j', 'letters':'\u006A\u24D9\uFF4A\u0135\u01F0\u0249'},
{'base':'k', 'letters':'\u006B\u24DA\uFF4B\u1E31\u01E9\u1E33\u0137\u1E35\u0199\u2C6A\uA741\uA743\uA745\uA7A3'},
{'base':'l', 'letters':'\u006C\u24DB\uFF4C\u0140\u013A\u013E\u1E37\u1E39\u013C\u1E3D\u1E3B\u017F\u0142\u019A\u026B\u2C61\uA749\uA781\uA747'},
{'base':'lj','letters':'\u01C9'},
{'base':'m', 'letters':'\u006D\u24DC\uFF4D\u1E3F\u1E41\u1E43\u0271\u026F'},
{'base':'n', 'letters':'\u006E\u24DD\uFF4E\u01F9\u0144\u00F1\u1E45\u0148\u1E47\u0146\u1E4B\u1E49\u019E\u0272\u0149\uA791\uA7A5'},
{'base':'nj','letters':'\u01CC'},
{'base':'o', 'letters':'\u006F\u24DE\uFF4F\u00F2\u00F3\u00F4\u1ED3\u1ED1\u1ED7\u1ED5\u00F5\u1E4D\u022D\u1E4F\u014D\u1E51\u1E53\u014F\u022F\u0231\u00F6\u022B\u1ECF\u0151\u01D2\u020D\u020F\u01A1\u1EDD\u1EDB\u1EE1\u1EDF\u1EE3\u1ECD\u1ED9\u01EB\u01ED\u00F8\u01FF\u0254\uA74B\uA74D\u0275'},
{'base':'oi','letters':'\u01A3'},
{'base':'ou','letters':'\u0223'},
{'base':'oo','letters':'\uA74F'},
{'base':'p','letters':'\u0070\u24DF\uFF50\u1E55\u1E57\u01A5\u1D7D\uA751\uA753\uA755'},
{'base':'q','letters':'\u0071\u24E0\uFF51\u024B\uA757\uA759'},
{'base':'r','letters':'\u0072\u24E1\uFF52\u0155\u1E59\u0159\u0211\u0213\u1E5B\u1E5D\u0157\u1E5F\u024D\u027D\uA75B\uA7A7\uA783'},
{'base':'s','letters':'\u0073\u24E2\uFF53\u00DF\u015B\u1E65\u015D\u1E61\u0161\u1E67\u1E63\u1E69\u0219\u015F\u023F\uA7A9\uA785\u1E9B'},
{'base':'t','letters':'\u0074\u24E3\uFF54\u1E6B\u1E97\u0165\u1E6D\u021B\u0163\u1E71\u1E6F\u0167\u01AD\u0288\u2C66\uA787'},
{'base':'tz','letters':'\uA729'},
{'base':'u','letters': '\u0075\u24E4\uFF55\u00F9\u00FA\u00FB\u0169\u1E79\u016B\u1E7B\u016D\u00FC\u01DC\u01D8\u01D6\u01DA\u1EE7\u016F\u0171\u01D4\u0215\u0217\u01B0\u1EEB\u1EE9\u1EEF\u1EED\u1EF1\u1EE5\u1E73\u0173\u1E77\u1E75\u0289'},
{'base':'v','letters':'\u0076\u24E5\uFF56\u1E7D\u1E7F\u028B\uA75F\u028C'},
{'base':'vy','letters':'\uA761'},
{'base':'w','letters':'\u0077\u24E6\uFF57\u1E81\u1E83\u0175\u1E87\u1E85\u1E98\u1E89\u2C73'},
{'base':'x','letters':'\u0078\u24E7\uFF58\u1E8B\u1E8D'},
{'base':'y','letters':'\u0079\u24E8\uFF59\u1EF3\u00FD\u0177\u1EF9\u0233\u1E8F\u00FF\u1EF7\u1E99\u1EF5\u01B4\u024F\u1EFF'},
{'base':'z','letters':'\u007A\u24E9\uFF5A\u017A\u1E91\u017C\u017E\u1E93\u1E95\u01B6\u0225\u0240\u2C6C\uA763'}
];
var diacriticsMap = {};
for (var i=0; i < defaultDiacriticsRemovalap.length; i++){
var letters = defaultDiacriticsRemovalap[i].letters;
for (var j=0; j < letters.length ; j++){
diacriticsMap[letters[j]] = defaultDiacriticsRemovalap[i].base;
}
}
// "what?" version ... http://jsperf.com/diacritics/12
function removeDiacritics (str) {
return str.replace(/[^\u0000-\u007E]/g, function(a){
return diacriticsMap[a] || a;
});
}
I have a SSIS package which is trying to read data from a text file. The issue I am facing is that the text file doesn't have very straight forward data as in it has special characters which are creating trouble
For Example, right after the header row, there's a row full of hyphens, something like -----------------------------------------------------------------------------------------
This SSIS is reading as the first value of the first column beacause of which it fails. How do I get rid of this, without actually removing the row from the file itself?
Also, in later part of the file as well, there are some unwanted rows which I would like to ignore, the format of the file is something like this :
Header
Data
Random Rows
Same header row as above
Data
and so on.....
I would like to know if there's a way to handle this with script task or any other way before or while the 'Flat File source' task gets executed, without actually making changes in the original file.
I don't know of anyway to filter these rows on input using the Flat File Source component, but you can definitely do some filtering if you read the file in with a Script Component.
If you add a reference to Microsoft.VisualBasic, you can use the below function to read your CSV into a datatable:
public static DataTable ReadInDataFromCSV(string fileName, string delimiter)
{
DataTable dtOutput = new DataTable();
//How many lines to read in. 0 for unlimited
int numberOfLines = 0;
using (TextFieldParser parser = new TextFieldParser(fileName))
{
parser.TextFieldType = FieldType.Delimited;
parser.SetDelimiters(delimiter);
//Are column names in first row?
bool columnNamesInFirstRow = true;
int rowCounter = 0;
string[] currentRow;
while (!parser.EndOfData && rowCounter <= numberOfLines)
{
try
{
currentRow = parser.ReadFields();
/*****************************
Add some kind of logic here to skip over rows you don't
want to read in
*****************************/
if (columnNamesInFirstRow == true)
{
foreach (string column in currentRow)
{
dtOutput.Columns.Add(column);
}
columnNamesInFirstRow = false;
}
else
{
DataRow dr;
dr = dtOutput.NewRow();
dr.ItemArray = currentRow;
dtOutput.Rows.Add(dr);
columnNamesInFirstRow = false;
}
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
rowCounter += (numberOfLines == 0) ? 0 : 1;
}
}
return dtOutput;
}
By default, the above code will read a flat file into a DataTable by calling something like:
DataTable myInputData = ReadInDataFromCSV(#"Path to file",",")
If you modify the commend I added inside the try/catch, you can filter out the rows you aren't interested in. For example, to skip the rows with hypens, you can add a simple check like:
if (currentRow.IndexOf("-----") > 0)
{
continue;
}
else
{
//If/else statement from the original code that adds the data to a DataRow and then adds it to the DataTable
}
Then you can simply add more similar checks to include/not include certain rows in your file. Good luck!
Hmmm, maybe someone can help me out here or point me in the right direction , as i have been banging my head against the wall for a number of days now and dont seem to be gettin anywhere useful.
(and admittedly i'm pretty new with regards to json,objects, google visulization etc)
essentially, i am running 3 different queries on the same page against 3 different fusion tables, which in return are supposed to return an array of 3 different xets of markers.
all is fine, when i run the queries individually and make an array of the markers .
however, running the 3 queries on the same page, i can't seem to find a way to identify the query in the response function.
any hints much appreciated. and i'll be happy to provide more info if needed (tried to get rid of some unneccessary stuff)
this is what i have. thanks
a) calling the function "setFusionData()" with all relevant vars. something like setFusionData("'LatLng','name'", 2729461);
(this is calles 3 times with different variables)
function setFusionData(selColumns,tableId) {
/****
an actual query example is this:
http://www.google.com/fusiontables/gvizdata?tqx=reqId:1234&tq="select+'LatLng','name'+from+2729461"
****/
var query = new google.visualization.Query(
'http://www.google.com/fusiontables/gvizdata?tqx=reqId:1234&tq='+ encodeURIComponent("SELECT "+selColumns+" FROM "+tableId+"")
);
query.send(getFusionData); //do something with the response
}
function getFusionData(response) {
/**
here, is the problem as i need to get the table id or reqId or anything that is uniquely passed on from "setFusionData" above
also something like
alert(JSON.stringify(response)) does not return any reqId or table id either
***/
/*return rows/columns and add values to an array of markers***/
var numRows = response.getDataTable().getNumberOfRows();
var numCols = response.getDataTable().getNumberOfColumns();
for (i = 0; i < numRows; i++) {
/* add markers to array etc this works fine***/
}
}
i also tried something like this:
function setFusionData(selColumns,tableId) {
......
query.send(getFusionData({reqId:tableId}));
}
function getFusionData(response) {
alert(response['reqId']);//returns tableId. but how do i get the tableData ?
}
with wich i can get the reqId, but not the table*Data*. So I am only able to get either id or data :(
----edit----------------
after messing around a bit more (see below) it appears that the key/value pairs that get returned when typing the query into the browser directly are different than what gets returned by the call from the script...i.e the following
http ://www.google.com/fusiontables/gvizdata?tqx=reqId:1234&tq="select+'LatLng','name'+from+2729461"
typed directly into the browser bar will return
version:'0.5',reqId:'1234',status:'ok',table etc
however, calling the same from within the script returns something like
{
"rj":"0.5","ef":"ok","pb":[],"qb":[],"h":"{"cols":
[{"id":"col2","label":"LatLng","type":"string"},{"id":"col1","label":"name","type":"string"}],
"rows":
[{"c":[{"v":"47.20572,12.70414"},
{"v":"Hohe Tauern"}]},{"c":[{"v":"47.5530395,12.925611"},{"v":"Berchtesgaden"}]},{"c":[{"v":"47.5585405,14.61887"},{"v":"Gesu00e4use"}]}],
"p":{"totalrows":3}
}"
}
, so no 'reqId' but only some cryptic keys (without one that looks like the reqId either)...... anyone any idea why that would/could be ?
Sometimes you can figure it out by just looking at the JSON response, your sample request returns:
google.visualization.Query.setResponse({
version:'0.5',
reqId:'1234',
status:'ok',
table: {
...
}
})
You already got response.reqId to identify which request is this the response for, now you can use response.table to create a new DataTable instance:
var dt = new google.visualization.DataTable(response.table);
Or, since you have multiple tables, put then in an array indexed with the reqId
tables[response.reqId] = new google.visualization.DataTable(response.table);
You'd do var tables = new Array() before calling setFusionData() for the first time.