jqwidgets-framework
Version:
jQWidgets is an advanced Angular, Vue, Blazor, React, Web Components, jquery, ASP .NET MVC, Custom Elements and HTML5 UI framework.
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text/typescript
export function generatedata(rowscount?: number, hasNullValues?: boolean): any[] {
let data = new Array();
if (rowscount == undefined) rowscount = 100;
let firstNames =
[
'Andrew', 'Nancy', 'Shelley', 'Regina', 'Yoshi', 'Antoni', 'Mayumi', 'Ian', 'Peter', 'Lars', 'Petra', 'Martin', 'Sven', 'Elio', 'Beate', 'Cheryl', 'Michael', 'Guylene'
];
let lastNames =
[
'Fuller', 'Davolio', 'Burke', 'Murphy', 'Nagase', 'Saavedra', 'Ohno', 'Devling', 'Wilson', 'Peterson', 'Winkler', 'Bein', 'Petersen', 'Rossi', 'Vileid', 'Saylor', 'Bjorn', 'Nodier'
];
let productNames =
[
'Black Tea', 'Green Tea', 'Caffe Espresso', 'Doubleshot Espresso', 'Caffe Latte', 'White Chocolate Mocha', 'Caramel Latte', 'Caffe Americano', 'Cappuccino', 'Espresso Truffle', 'Espresso con Panna', 'Peppermint Mocha Twist'
];
let priceValues =
[
'2.25', '1.5', '3.0', '3.3', '4.5', '3.6', '3.8', '2.5', '5.0', '1.75', '3.25', '4.0'
];
for (let i = 0; i < rowscount; i++) {
let row = {};
let productindex = Math.floor(Math.random() * productNames.length);
let price = parseFloat(priceValues[productindex]);
let quantity = 1 + Math.round(Math.random() * 10);
row['id'] = i;
row['reportsto'] = Math.floor(Math.random() * firstNames.length);
if (i % Math.floor(Math.random() * firstNames.length) === 0) {
row['reportsto'] = null;
}
row['available'] = productindex % 2 == 0;
if (hasNullValues == true) {
if (productindex % 2 != 0) {
let random = Math.floor(Math.random() * rowscount);
row['available'] = i % random == 0 ? null : false;
}
}
row['firstname'] = firstNames[Math.floor(Math.random() * firstNames.length)];
row['lastname'] = lastNames[Math.floor(Math.random() * lastNames.length)];
row['name'] = row['firstname'] + ' ' + row['lastname'];
row['productname'] = productNames[productindex];
row['price'] = price;
row['quantity'] = quantity;
row['total'] = price * quantity;
let date = new Date();
date.setFullYear(2016, Math.floor(Math.random() * 11), Math.floor(Math.random() * 27));
date.setHours(0, 0, 0, 0);
row['date'] = date;
data[i] = row;
}
return data;
}
export function generateordersdata(rowscount?: number): any[] {
// prepare the data
let data = new Array();
if (rowscount == undefined) rowscount = 10;
let firstNames =
[
'Andrew', 'Nancy', 'Shelley', 'Regina', 'Yoshi', 'Antoni', 'Mayumi', 'Ian', 'Peter', 'Lars', 'Petra', 'Martin', 'Sven', 'Elio', 'Beate', 'Cheryl', 'Michael', 'Guylene'
];
let lastNames =
[
'Fuller', 'Davolio', 'Burke', 'Murphy', 'Nagase', 'Saavedra', 'Ohno', 'Devling', 'Wilson', 'Peterson', 'Winkler', 'Bein', 'Petersen', 'Rossi', 'Vileid', 'Saylor', 'Bjorn', 'Nodier'
];
let productNames =
[
'Black Tea', 'Green Tea', 'Caffe Espresso', 'Doubleshot Espresso', 'Caffe Latte', 'White Chocolate Mocha', 'Caramel Latte', 'Caffe Americano', 'Cappuccino', 'Espresso Truffle', 'Espresso con Panna', 'Peppermint Mocha Twist'
];
let priceValues =
[
'2.25', '1.5', '3.0', '3.3', '4.5', '3.6', '3.8', '2.5', '5.0', '1.75', '3.25', '4.0'
];
let companyNames = ['Dolor Foundation', 'Vivamus Non Lorem LLP', 'Vel Ltd', 'Turpis Incorporated', 'Egestas Nunc PC', 'At Pretium Aliquet Associates', 'Feugiat Inc.', 'Lacus Industries', 'Senectus Et Foundation', 'Sed LLC', 'Maecenas Mi Felis LLC', 'Pede Blandit Ltd', 'Pellentesque Habitant Morbi Institute'
, 'Mollis Vitae Industries', 'Malesuada Vel Convallis LLP', 'Risus Duis Corp.', 'Convallis LLP', 'Lobortis Augue LLC', 'Auctor LLP', 'Neque Inc.', 'Lorem Eu Corporation'];
for (let i = 0; i < rowscount; i++) {
let row = {};
let productindex = Math.floor(Math.random() * productNames.length);
let price = parseFloat(priceValues[productindex]);
let quantity = 2 + Math.round(Math.random() * 10);
row['id'] = i;
row['parentid'] = null;
row['name'] = 'Order ' + i;
row['firstname'] = firstNames[Math.floor(Math.random() * firstNames.length)];
row['lastname'] = lastNames[Math.floor(Math.random() * lastNames.length)];
row['customer'] = companyNames[Math.floor(Math.random() * companyNames.length)];
let date = new Date();
let month = Math.floor(Math.random() * 11);
let day = Math.floor(Math.random() * 27);
date.setFullYear(2016, month, day);
date.setHours(0, 0, 0, 0);
row['date'] = date;
row['price'] = '';
row['quantity'] = '';
data.push(row);
let subRowsCount = 1+Math.round(Math.random() * 8);
let t = 0;
let q = 0;
for (let j = 0; j < subRowsCount; j++) {
let subRow = {};
let productindex = Math.floor(Math.random() * productNames.length);
let price = parseFloat(priceValues[productindex]);
let quantity = 1;
subRow['name'] = productNames[productindex];
subRow['id'] = '' + i + '.' + (1 + j);
subRow['parentid'] = i;
subRow['price'] = price;
subRow['quantity'] = 1;
let date = new Date();
date.setFullYear(2016, month, day);
date.setHours(Math.floor(Math.random() * 23), Math.floor(Math.random() * 59), 0, 0);
subRow['date'] = date;
row['firstname'] = firstNames[Math.floor(Math.random() * firstNames.length)];
row['lastname'] = lastNames[Math.floor(Math.random() * lastNames.length)];
subRow['customer'] = row['firstname'] + ' ' + row['lastname'];
t += quantity * price;
data.push(subRow);
q += quantity;
}
row['price'] = t;
row['quantity'] = 1;
}
return data;
}
export function generatecarsdata(): any[] {
let makes = [{ value:'', label: 'Any'},
{value:'140', label: 'Abarth'},
{value:'375', label: 'Acura'},
{value:'800', label: 'Aixam'},
{value:'900', label: 'Alfa Romeo'},
{value:'1100', label: 'Alpina'},
{value:'121', label: 'Artega'},
{value:'1750', label: 'Asia Motors'},
{value:'1700', label: 'Aston Martin'},
{value:'1900', label: 'Audi'},
{value:'2000', label: 'Austin'},
{value:'1950', label: 'Austin Healey'},
{value:'3100', label: 'Bentley'},
{value:'3500', label: 'BMW'},
{value:'3850', label: 'Borgward'},
{value:'4025', label: 'Brilliance'},
{value:'4350', label: 'Bugatti'},
{value:'4400', label: 'Buick'},
{value:'4700', label: 'Cadillac'},
{value:'112', label: 'Casalini'},
{value:'5300', label: 'Caterham'},
{value:'5600', label: 'Chevrolet'},
{value:'5700', label: 'Chrysler'},
{value:'5900', label: 'Citroën'},
{value:'6200', label: 'Cobra'},
{value:'6325', label: 'Corvette'},
{value:'6600', label: 'Dacia'},
{value:'6800', label: 'Daewoo'},
{value:'7000', label: 'Daihatsu'},
{value:'7400', label: 'DeTomaso'},
{value:'7700', label: 'Dodge'},
{value:'8600', label: 'Ferrari'},
{value:'8800', label: 'Fiat'},
{value:'172', label: 'Fisker'},
{value:'9000', label: 'Ford'},
{value:'9900', label: 'GMC'},
{value:'122', label: 'Grecav'},
{value:'10850', label: 'Holden'},
{value:'11000', label: 'Honda'},
{value:'11050', label: 'Hummer'},
{value:'11600', label: 'Hyundai'},
{value:'11650', label: 'Infiniti'},
{value:'11900', label: 'Isuzu'},
{value:'12100', label: 'Iveco'},
{value:'12400', label: 'Jaguar'},
{value:'12600', label: 'Jeep'},
{value:'13200', label: 'Kia'},
{value:'13450', label: 'Königsegg'},
{value:'13900', label: 'KTM'},
{value:'14400', label: 'Lada'},
{value:'14600', label: 'Lamborghini'},
{value:'14700', label: 'Lancia'},
{value:'14800', label: 'Land Rover'},
{value:'14845', label: 'Landwind'},
{value:'15200', label: 'Lexus'},
{value:'15400', label: 'Ligier'},
{value:'15500', label: 'Lincoln'},
{value:'15900', label: 'Lotus'},
{value:'16200', label: 'Mahindra'},
{value:'16600', label: 'Maserati'},
{value:'16700', label: 'Maybach'},
{value:'16800', label: 'Mazda'},
{value:'137', label: 'McLaren'},
{value:'17200', label: 'Mercedes-Benz'},
{value:'17300', label: 'MG'},
{value:'30011', label: 'Microcar'},
{value:'17500', label: 'MINI'},
{value:'17700', label: 'Mitsubishi'},
{value:'17900', label: 'Morgan'},
{value:'18700', label: 'Nissan'},
{value:'18875', label: 'NSU'},
{value:'18975', label: 'Oldsmobile'},
{value:'19000', label: 'Opel'},
{value:'149', label: 'Pagani'},
{value:'19300', label: 'Peugeot'},
{value:'19600', label: 'Piaggio'},
{value:'19800', label: 'Plymouth'},
{value:'20000', label: 'Pontiac'},
{value:'20100', label: 'Porsche'},
{value:'20200', label: 'Proton'},
{value:'20700', label: 'Renault'},
{value:'21600', label: 'Rolls Royce'},
{value:'21700', label: 'Rover'},
{value:'125', label: 'Ruf'},
{value:'21800', label: 'Saab'},
{value:'22000', label: 'Santana'},
{value:'22500', label: 'Seat'},
{value:'22900', label: 'Skoda'},
{value:'23000', label: 'Smart'},
{value:'100', label: 'Spyker'},
{value:'23100', label: 'Ssangyong'},
{value:'23500', label: 'Subaru'},
{value:'23600', label: 'Suzuki'},
{value:'23800', label: 'Talbot'},
{value:'23825', label: 'Tata'},
{value:'135', label: 'Tesla'},
{value:'24100', label: 'Toyota'},
{value:'24200', label: 'Trabant'},
{value:'24400', label: 'Triumph'},
{value:'24500', label: 'TVR'},
{value:'25200', label: 'Volkswagen'},
{value:'25100', label: 'Volvo'},
{value:'25300', label: 'Wartburg'},
{value:'113', label: 'Westfield'},
{ value: '25650', label: 'Wiesmann' }];
let fuelType = ['Any', 'Diesel', 'Electric', 'Ethanol (FFV, E85, etc.)', 'Gas', 'LPG', 'Natural Gas', 'Hybrid', 'Hydrogen', 'Petrol'];
let vehicleType = ['Saloon', 'Small Car', 'Estate Car', 'Van / Minibus', 'Off-road Vehicle/Pickup Truck', 'Cabriolet / Roadster', 'Sports Car/Coupe'];
let power =
[
{value:'24', label: '24 kW (33 PS)'},
{value:'36', label: '36 kW (49 PS)'},
{value:'43', label: '43 kW (58 PS)'},
{value:'54', label: '54 kW (73 PS)'},
{value:'65', label: '65 kW (88 PS)'},
{value:'73', label: '73 kW (99 PS)'},
{value:'86', label: '86 kW (117 PS)'},
{value:'95', label: '95 kW (129 PS)'},
{value:'109', label: '109 kW (148 PS)'},
{value:'146', label: '146 kW (199 PS)'},
{value:'184', label: '184 kW (250 PS)'},
{value:'222', label: '222 kW (302 PS)'},
{value:'262', label: '262 kW (356 PS)'},
{value:'295', label: '295 kW (401 PS)'},
{value:'333', label: '333 kW (453 PS)'}
];
let data = new Array();
for (let i = 0; i < makes.length; i++) {
let row: any = {};
row.make = makes[i].label;
row.fuelType = fuelType[Math.floor(Math.random() * fuelType.length)];
row.vehicleType = vehicleType[Math.floor(Math.random() * vehicleType.length)];
let powerIndex = Math.floor(Math.random() * power.length);
if (powerIndex == power.length - 1) powerIndex --;
row.powerFrom = power[powerIndex];
row.powerTo = power[powerIndex + 1];
data.push(row);
}
return data;
}
export function generateappointments(): void {
}
export function generateData(rowscount?: number): any[] {
return generatedata(rowscount);
}