Data conversion tools based on

In front-end projects, using Excel tables and data conversion tools can effectively optimize functions such as addition, deletion, modification and search, saving a lot of labor costs. The following are specific implementation steps and code examples:

1. Install the necessary dependency library

First, make sure the environment is installed. Then, use the following command to install the library that handles Excelxlsx：

npm install xlsx

2. Read Excel file and convert it to JSON

The following example shows how to read an Excel file and convert its contents to JSON format:

const xlsx = require('xlsx');
const fs = require('fs');

// Read Excel filesconst workbook = ('');

// Suppose we only process the first worksheetconst sheetName = [0];
const worksheet = [sheetName];

// Convert worksheet content to JSONconst jsonData = .sheet_to_json(worksheet);

// Write JSON data to a file('', (jsonData, null, 2));

('Excel data has been successfully converted to JSON format');

In the above code, we usexlsxThe library reads the nameExcel file, converts the data from the first worksheet to JSON format, and saves the results asdocument.

3. Implement the function of adding, deleting, modifying and checking

After converting Excel data to JSON, you can use to implement the data addition, deletion, modification and search operations. Here is a simple example:

const fs = require('fs');

// Read JSON datalet rawData = ('');
let data = (rawData);

// Add a new recordfunction addRecord(newRecord) {
  (newRecord);
  saveData();
}

// Delete the record of the specified indexfunction deleteRecord(index) {
  if (index >= 0 && index < ) {
    (index, 1);
    saveData();
  } else {
    ('Index out of range');
  }
}

// Update the record of the specified indexfunction updateRecord(index, updatedRecord) {
  if (index >= 0 && index < ) {
    data[index] = { ...data[index], ...updatedRecord };
    saveData();
  } else {
    ('Index out of range');
  }
}

// Query all recordsfunction getAllRecords() {
  return data;
}

// Save data to JSON filefunction saveData() {
  ('', (data, null, 2));
  ('Data updated');
}

// Sample operationaddRecord({ name: 'New User', age: 25, email: 'newuser@' });
deleteRecord(2);
updateRecord(0, { age: 30 });
(getAllRecords());

In this example, we define four functions:addRecord、deleteRecord、updateRecordandgetAllRecords, used to add, delete, update and query records respectively. After each operation, it will be calledsaveDataThe function saves the latest data backdocument.

4. Export the updated data back to Excel

After adding, deleting, modifying and checking the data, you may need to export the updated data back to an Excel file. The following is the implementation method:

// Convert JSON data back to worksheetconst newWorksheet = .json_to_sheet(data);

// Create a new workbookconst newWorkbook = .book_new();
.book_append_sheet(newWorkbook, newWorksheet, 'Sheet1');

// Write workbook to Excel file(newWorkbook, 'updated_data.xlsx');

('Data has been successfully exported to updated_data.xlsx');

Through the above steps, we have implemented data conversion from Excel to JSON, as well as data addition, deletion, modification and search operations, and finally export the updated data back to Excel file.

This is the end of this article about implementing data conversion tools. For more related data conversion content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!