COBOL To TypeScript Converter

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Convert hundreds of lines of COBOL code into TypeScript with one click. Completely free, no sign up required.

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What Is COBOL To TypeScript Converter?

A COBOL To TypeScript converter is an online tool designed to streamline the transition from legacy COBOL code to modern TypeScript. By leveraging generative AI, machine learning, natural language processing, and other advanced technologies, this converter translates specified code snippets into a programming language that meets contemporary application needs.

The process unfolds in three clear steps:

  1. Input: You begin by providing the COBOL code that needs conversion, which serves as the initial data for the tool.
  2. Processing: The converter’s AI analyzes the syntax and structure of the COBOL code. It identifies key elements such as data types, control structures, and functions, systematically mapping these to their TypeScript equivalents to generate a corresponding TypeScript version.
  3. Output: Finally, the tool outputs the converted TypeScript code, delivering it back to you in a format suitable for immediate use or further development.

How Is COBOL Different From TypeScript?

COBOL is a legacy programming language that has played a vital role in business, finance, and administrative systems for decades. In contrast, TypeScript is a modern language that enhances JavaScript by incorporating static types, aimed at improving code quality and development efficiency. When contemplating the transition from COBOL to TypeScript, it’s essential to grasp these foundational differences to ensure a seamless migration.

  • Syntax: COBOL’s syntax is known for being verbose and reads almost like English. This characteristic can be helpful for those who are new to programming, making the code intuitive to follow. However, this same verbosity can lead to longer, more cumbersome coding sessions. TypeScript, in comparison, employs a more succinct syntax akin to C, allowing developers to write code that is shorter and arguably easier to manage, which can enhance productivity.
  • Typing System: COBOL uses dynamic typing, meaning that variables don’t have fixed types until the program runs. This flexibility can sometimes result in unexpected runtime errors, which can be challenging to debug. On the other hand, TypeScript’s static typing enables developers to define variable types at compile time. This proactive approach helps identify potential issues early in the development process, leading to the creation of more stable applications.
  • Use Cases: COBOL is predominantly used for large-scale, enterprise-level applications that handle vast amounts of data and transactions. Conversely, TypeScript shines in web development. It is particularly effective when working with popular frameworks like Angular and React, making it a favored choice among modern web developers.
  • Community and Support: The community around COBOL has dwindled somewhat due to its age, resulting in limited resources for support and learning. In stark contrast, TypeScript enjoys a vibrant, large developer community that constantly contributes to its evolution and offers extensive resources for new and experienced programmers alike.
Feature COBOL TypeScript
Syntax Verbose and English-like Concise and C-like
Typing Dynamic Static
Primary Use Business applications Web development
Community Support Limited Extensive

How Does Minary’s COBOL To TypeScript Converter Work?

The Minary COBOL To TypeScript converter operates seamlessly to transform your COBOL code into TypeScript. Start by providing a detailed description of the task in the designated left-side box. This input can include specifications about functions, data handling, or the overall structure you want in the TypeScript output.

Once you’ve filled in the description, click the “Generate” button. The generator processes your input swiftly, analyzing the COBOL syntax and translating it into the equivalent TypeScript code. The generated code appears on the right side of the interface for your review and use. If the code meets your expectations, you can easily copy it by clicking the “Copy” button located at the bottom of the generated output.

To improve the quality of the converter, you’ll find feedback vote buttons alongside the code. Providing feedback—whether it’s a thumbs up or down—helps the generator learn and refine its future output, ultimately enhancing the COBOL To TypeScript converter’s effectiveness.

For example, you might enter a task description like: “Convert a COBOL program that calculates employee salaries based on hours worked and overtime.” After clicking generate, the converter will produce the corresponding TypeScript code reflecting the logic and structure of the original COBOL program. This ensures a smooth transition from COBOL to TypeScript with precision and clarity.

Examples Of Converted Code From COBOL To TypeScript

IDENTIFICATION DIVISION.
PROGRAM-ID. SumSeries.

DATA DIVISION.
WORKING-STORAGE SECTION.
01 Num PIC 9(5).
01 TotalSum PIC 9(10) VALUE 0.

PROCEDURE DIVISION.
BEGIN.
DISPLAY “Enter numbers to sum (negative number to stop):”
PERFORM UNTIL Num < 0 ACCEPT Num IF Num >= 0 THEN
ADD Num TO TotalSum
END-IF
END-PERFORM
DISPLAY “Total Sum: ” TotalSum
STOP RUN.

function sumSeries() {
let num: number;
let totalSum: number = 0;

console.log(“Enter numbers to sum (negative number to stop):”);

while (true) {
num = Number(prompt(“Enter a number:”)); // Assuming prompt is defined to take user input
if (num < 0) { break; } totalSum += num; } console.log("Total Sum: " + totalSum); } sumSeries();

IDENTIFICATION DIVISION.
PROGRAM-ID. SalesReport.

ENVIRONMENT DIVISION.
INPUT-OUTPUT SECTION.
FILE-CONTROL.
SELECT SalesFile ASSIGN TO ‘salesdata.txt’
ORGANIZATION IS LINE SEQUENTIAL.
SELECT ReportFile ASSIGN TO ‘salesreport.txt’
ORGANIZATION IS LINE SEQUENTIAL.

DATA DIVISION.
FILE SECTION.
FD SalesFile.
01 SalesRecord.
05 SaleDate PIC X(10).
05 DailySales PIC 9(5)V99.

FD ReportFile.
01 ReportRecord PIC X(80).

WORKING-STORAGE SECTION.
01 TotalSales PIC 9(10)V99 VALUE 0.
01 TotalDays PIC 9(2) VALUE 0.
01 AverageSales PIC 9(10)V99 VALUE 0.
01 AboveAverageCount PIC 9(2) VALUE 0.
01 DailySalesArray.
05 DailySalesTable OCCURS 31 TIMES
INDEXED BY DayIndex.
10 DailySalesValue PIC 9(5)V99 VALUE 0.
01 AverageHeader PIC X(30) VALUE ‘Average Daily Sales: ‘.
01 AboveAverageHeader PIC X(30) VALUE ‘Days with Sales Above Average: ‘.

PROCEDURE DIVISION.
MAIN-PROCEDURE.
OPEN INPUT SalesFile
OPEN OUTPUT ReportFile

PERFORM UNTIL EOF-SalesFile
READ SalesFile INTO SalesRecord
AT END MOVE ‘Y’ TO EOF-SalesFile
NOT AT END
ADD DailySales TO TotalSales
ADD 1 TO TotalDays
MOVE DailySales TO DailySalesTable(DayIndex)
ADD 1 TO DayIndex
END-READ
END-PERFORM

IF TotalDays > 0
COMPUTE AverageSales = TotalSales / TotalDays
WRITE ReportRecord FROM AverageHeader
WRITE ReportRecord FROM AverageSales
END-IF

PERFORM VARYING DayIndex FROM 1 BY 1 UNTIL DayIndex > TotalDays
IF DailySalesTable(DayIndex) > AverageSales
ADD 1 TO AboveAverageCount
MOVE ‘Day ‘ TO ReportRecord(1:4)
STRING FUNCTION NUMVAL(DayIndex) DELIMITED BY SIZE INTO ReportRecord(5:7)
WRITE ReportRecord
END-IF
END-PERFORM

CLOSE SalesFile
CLOSE ReportFile
STOP RUN.

END PROGRAM SalesReport.

const fs = require(‘fs’);

class SalesReport {
private totalSales: number = 0;
private totalDays: number = 0;
private averageSales: number = 0;
private aboveAverageCount: number = 0;
private dailySalesTable: number[] = new Array(31).fill(0);
private dayIndex: number = 0;

private readonly salesFile: string = ‘salesdata.txt’;
private readonly reportFile: string = ‘salesreport.txt’;
private readonly averageHeader: string = ‘Average Daily Sales: ‘;
private readonly aboveAverageHeader: string = ‘Days with Sales Above Average: ‘;

public mainProcedure() {
const inputStream = fs.createReadStream(this.salesFile, { encoding: ‘utf-8’ });
const outputStream = fs.createWriteStream(this.reportFile, { encoding: ‘utf-8’ });
const readline = require(‘readline’).createInterface({
input: inputStream,
crlfDelay: Infinity
});

readline.on(‘line’, (line: string) => {
const saleDate = line.substring(0, 10).trim();
const dailySales = parseFloat(line.substring(10, 16).trim()) + parseFloat(line.substring(16).trim());

this.totalSales += dailySales;
this.totalDays += 1;
this.dailySalesTable[this.dayIndex] = dailySales;
this.dayIndex += 1;
});

readline.on(‘close’, () => {
if (this.totalDays > 0) {
this.averageSales = this.totalSales / this.totalDays;

outputStream.write(this.averageHeader + this.averageSales.toFixed(2) + ‘n’);

for (let i = 0; i < this.totalDays; i++) { if (this.dailySalesTable[i] > this.averageSales) {
this.aboveAverageCount += 1;
outputStream.write(‘Day ‘ + (i + 1) + ‘n’);
}
}
}
outputStream.close();
});
}
}

const report = new SalesReport();
report.mainProcedure();

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