COBOL To Solidity Converter
Other COBOL Converters
What Is COBOL To Solidity Converter?
An AI COBOL to Solidity converter is an online tool designed to help developers transition legacy COBOL code into the modern Solidity programming language, which is used for smart contracts on blockchain platforms. By utilizing generative AI, machine learning, and natural language processing, it simplifies this essential transformation.
This converter works through a structured three-step process:
- Input: You start by providing the COBOL code that requires conversion.
- Processing: The tool analyzes the provided code, applying sophisticated algorithms that recognize and translate COBOL syntax and semantics into Solidity, ensuring that the underlying logic remains intact.
- Output: Finally, it produces the corresponding Solidity code, which is ready for deployment on blockchain platforms.
How Is COBOL Different From Solidity?
COBOL is a programming language that has been around for decades, mainly utilized in business, finance, and administrative systems by both companies and government organizations. Its design focuses on handling large volumes of data efficiently, making it ideal for mainframe applications. On the other hand, Solidity was developed specifically for creating smart contracts on blockchain networks, particularly the Ethereum platform. This transition from the well-established COBOL to the newer and rapidly evolving Solidity brings along unique challenges and opportunities that developers must navigate.
Both languages have their distinctive features, which cater to different needs in the programming landscape:
- Paradigm: COBOL adopts a procedural approach, organizing tasks in a clear sequence, while Solidity employs an object-oriented model focused on events and interactions, which is vital for decentralized applications.
- Execution Environment: COBOL typically runs on robust mainframes or servers designed for enterprise-level processing. In contrast, Solidity operates on decentralized blockchain platforms, promoting transparency and security across transactions.
- Data Handling: COBOL is proficient at processing large batches of data effectively, ideal for traditional database management. Solidity, however, is designed to manage state and secure transactions through its innovative contract system, which ensures that all interactions are verified and authenticated.
- Syntax: COBOL is known for its verbose syntax, which prioritizes clarity and readability, making it easier for newcomers to understand. Solidity, by comparison, features a more concise syntax reminiscent of JavaScript, streamlining the coding process for developers familiar with web development.
| Feature | COBOL | Solidity |
|---|---|---|
| Usage | Mainframe applications | Smart contracts |
| Programming Paradigm | Procedural | Object-oriented |
| Data Management | Batch processing | State management |
| Framework | COBOL compilers | Ethereum platform |
How Does Minary’s COBOL To Solidity Converter Work?
Minary’s COBOL To Solidity converter operates through an intuitive interface designed to transform your COBOL code into Solidity seamlessly. Begin by entering your task details in the left-hand description box. This is where you can specify precisely what you want the converter to do, such as any specific functions or structures that should be included in the output. Once you’ve filled this out, simply click the ‘Generate’ button.
As you click ‘Generate’, the system processes your request, leveraging advanced algorithms to make sense of the provided COBOL code and translate it into the robust Solidity language suitable for smart contracts. Within moments, the generated code appears on the right side of your screen. You can review it, copy it using the handy ‘Copy’ button at the bottom, and paste it into your development environment. Feedback is also instrumental in this process; use the vote buttons to indicate whether the code met your expectations. Each piece of feedback contributes to the ongoing training and refinement of the COBOL To Solidity converter.
For example, if you input a detailed prompt like: “Convert my COBOL payroll calculation logic into Solidity, making sure to preserve all arithmetic operations and conditional statements,” you’ll receive a Solidity code snippet tailored to your requirements. This streamlined process empowers developers to transition legacy code into modern applications with ease.
Examples Of Converted Code From COBOL To Solidity
PROGRAM-ID. FactorialCalculator.
ENVIRONMENT DIVISION.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 User-Input PIC 9(3).
01 Factorial PIC 9(18) VALUE 1.
01 Counter PIC 9(3) VALUE 1.
01 Even-Odd PIC X(4).
PROCEDURE DIVISION.
MAIN-LOGIC.
DISPLAY “Enter a number to calculate its factorial (0-99): “.
ACCEPT User-Input.
IF User-Input < 0 OR User-Input > 99 THEN
DISPLAY “Please enter a non-negative number less than 100.”
STOP RUN
END-IF.
PERFORM VARYING Counter FROM 1 BY 1 UNTIL Counter > User-Input
MULTIPLY Factorial BY Counter GIVING Factorial
END-PERFORM.
IF Factorial MOD 2 = 0 THEN
MOVE “Even” TO Even-Odd
ELSE
MOVE “Odd” TO Even-Odd
END-IF.
DISPLAY “The factorial of ” User-Input ” is ” Factorial ” and it is ” Even-Odd.
STOP RUN.
contract FactorialCalculator {
uint public factorial;
string public evenOdd;
function calculateFactorial(uint userInput) public {
require(userInput >= 0 && userInput < 100, "Please enter a non-negative number less than 100.");
factorial = 1;
for (uint counter = 1; counter <= userInput; counter++) {
factorial *= counter;
}
if (factorial % 2 == 0) {
evenOdd = "Even";
} else {
evenOdd = "Odd";
}
}
function getFactorial() public view returns (uint) {
return factorial;
}
function getEvenOdd() public view returns (string memory) {
return evenOdd;
}
}
PROGRAM-ID. CustomerTransactionSummary.
ENVIRONMENT DIVISION.
INPUT-OUTPUT SECTION.
FILE-CONTROL.
SELECT TransactionFile ASSIGN TO ‘transactions.txt’
ORGANIZATION IS LINE SEQUENTIAL.
SELECT ReportFile ASSIGN TO ‘report.txt’
ORGANIZATION IS LINE SEQUENTIAL.
DATA DIVISION.
FILE SECTION.
FD TransactionFile.
01 TransactionRecord.
05 CustomerID PIC X(10).
05 TransactionDate PIC X(10).
05 TransactionAmount PIC 9(8)V99.
FD ReportFile.
01 ReportRecord.
05 CustomerID PIC X(10).
05 TotalAmountSpent PIC 9(10)V99.
05 AverageTransaction PIC 9(10)V99.
WORKING-STORAGE SECTION.
01 CustomerSummaryTable.
05 CustomerEntry OCCURS 100 TIMES.
10 CustomerID PIC X(10).
10 TotalAmountSpent PIC 9(10)V99 VALUE ZEROS.
10 TransactionCount PIC 9(3) VALUE ZERO.
01 WS-CustomerCount PIC 9(3) VALUE ZERO.
01 WS-CurrentDate PIC X(10).
01 WS-StartDate PIC X(10).
01 WS-EndDate PIC X(10).
PROCEDURE DIVISION.
MAIN-LOGIC.
OPEN INPUT TransactionFile
OPEN OUTPUT ReportFile
DISPLAY “Enter start date (YYYY-MM-DD): ”
ACCEPT WS-StartDate.
DISPLAY “Enter end date (YYYY-MM-DD): ”
ACCEPT WS-EndDate.
PERFORM UNTIL EOF-TransactionFile
READ TransactionFile INTO TransactionRecord
AT END
MOVE ‘YES’ TO EOF-TransactionFile
NOT AT END
IF TransactionDate >= WS-StartDate AND TransactionDate <= WS-EndDate
PERFORM PROCESS-TRANSACTION
END-IF
END-READ
END-PERFORM
PERFORM WRITE-REPORT
CLOSE TransactionFile
CLOSE ReportFile
STOP RUN.
PROCESS-TRANSACTION.
MOVE CustomerID TO CustomerEntry(WS-CustomerCount).CustomerID
IF CustomerEntry(WS-CustomerCount).CustomerID NOT EQUAL TO CustomerID
ADD 1 TO WS-CustomerCount.
END-IF
ADD TransactionAmount TO CustomerEntry(WS-CustomerCount).TotalAmountSpent
ADD 1 TO CustomerEntry(WS-CustomerCount).TransactionCount.
WRITE-REPORT.
PERFORM VARYING I FROM 1 BY 1 UNTIL I > WS-CustomerCount
MOVE CustomerEntry(I).CustomerID TO ReportRecord.CustomerID
MOVE CustomerEntry(I).TotalAmountSpent TO ReportRecord.TotalAmountSpent
IF CustomerEntry(I).TransactionCount > 0
COMPUTE ReportRecord.AverageTransaction = CustomerEntry(I).TotalAmountSpent / CustomerEntry(I).TransactionCount
ELSE
MOVE ZEROS TO ReportRecord.AverageTransaction
END-IF
WRITE ReportRecord.
END-PERFORM.
END PROGRAM CustomerTransactionSummary.
contract CustomerTransactionSummary {
struct TransactionRecord {
string customerID;
string transactionDate;
uint256 transactionAmount; // in cents to handle decimals
}
struct ReportRecord {
string customerID;
uint256 totalAmountSpent; // in cents
uint256 averageTransaction; // in cents
}
struct CustomerEntry {
string customerID;
uint256 totalAmountSpent; // in cents
uint256 transactionCount;
}
CustomerEntry[] public customerEntries;
uint256 public customerCount;
// User defined variables for dates
string public startDate;
string public endDate;
// Simulated file handling
TransactionRecord[] public transactionRecords;
function setTransactionRecords(TransactionRecord[] memory records) public {
for (uint i = 0; i < records.length; i++) {
transactionRecords.push(records[i]);
}
}
function setDateRange(string memory _startDate, string memory _endDate) public {
startDate = _startDate;
endDate = _endDate;
}
function processTransactions() public {
for (uint i = 0; i < transactionRecords.length; i++) {
TransactionRecord memory record = transactionRecords[i];
if (compareDates(record.transactionDate, startDate) >= 0 &&
compareDates(record.transactionDate, endDate) <= 0) {
processTransaction(record.customerID, record.transactionAmount);
}
}
}
function processTransaction(string memory customerID, uint256 amount) internal {
bool found = false;
for (uint i = 0; i < customerEntries.length; i++) {
if (keccak256(bytes(customerEntries[i].customerID)) == keccak256(bytes(customerID))) {
customerEntries[i].totalAmountSpent += amount;
customerEntries[i].transactionCount += 1;
found = true;
break;
}
}
if (!found) {
customerEntries.push(CustomerEntry(customerID, amount, 1));
customerCount++;
}
}
function writeReport() public view returns (ReportRecord[] memory) {
ReportRecord[] memory reports = new ReportRecord[](customerCount);
for (uint i = 0; i < customerEntries.length; i++) {
CustomerEntry memory entry = customerEntries[i];
ReportRecord memory report;
report.customerID = entry.customerID;
report.totalAmountSpent = entry.totalAmountSpent;
report.averageTransaction = entry.transactionCount > 0 ? entry.totalAmountSpent / entry.transactionCount : 0;
reports[i] = report;
}
return reports;
}
function compareDates(string memory date1, string memory date2) internal pure returns (int) {
if (keccak256(bytes(date1)) == keccak256(bytes(date2))) {
return 0;
} else if (bytes(date1).length < bytes(date2).length) {
return -1;
} else {
return 1;
}
}
}
SQL
Verilog
VHDL