After studying the code quality, development efficiency increased by 10 times and bugs were reduced by 20 times! !

In the past, writing code has been a tedious and time-consuming task. Especially as the risk of unemployment becomes increasingly severe, programmers over 35 face greater challenges. However, with the intervention of artificial intelligence, the situation has changed, bringing new energy and creativity to programmers, while opening up new ways to improve work efficiency.

Artificial intelligence code generation models and programming assistants provide programmers with effective help because of their ability to quickly generate code structures, optimize algorithms, and provide intelligent suggestions. This kind of intelligent assistance can not only significantly reduce repetitive work, but also release creativity, allowing programmers to focus on problem solving and innovative thinking, thereby improving the quality of software.

When discussing how to increase work efficiency and evaluate the effects of artificial intelligence, we need to go beyond theory and provide concrete cases and examples to demonstrate the huge potential and practical effects of artificial intelligence in the field of programming.

Let's take FuncGPT (Hui Function) as an example. This is a tool launched by Feisuan that focuses on AI-generated Java functions. FuncGPT (FuncGPT) can be used to create various types of functions. By describing the requirements of a Java function in natural language, it can instantly generate high-quality and readable Java function code. The generated code can be copied directly into IDEA, or imported into the Java fully automatic development tool function library with one click, thus greatly improving developers' coding efficiency.

Case practice

By entering the command [Read EXCEL data, input parameter: File file, output parameter: List<Map<String, Object>>] in FuncGPT (Hui Function), it only takes 24 seconds to generate a clear and easy-to-understand data that can be Readable code:

// 类名：ExcelDataReader

// 函数名：readExcelData

// 函数功能：读取Excel数据并返回List<Map<String, Object>>类型的结果

// POM依赖包：

// <dependency>

//     <groupId>org.apache.poi</groupId>

//     <artifactId>poi</artifactId>

//     <version>4.1.2</version>

// </dependency>

// <dependency>

//     <groupId>org.apache.poi</groupId>

//     <artifactId>poi-ooxml</artifactId>

//     <version>4.1.2</version>

// </dependency>

import org.apache.poi.ss.usermodel.*;

import java.io.File;

import java.io.FileInputStream;

import java.io.IOException;

import java.util.ArrayList;

import java.util.HashMap;

import java.util.List;

import java.util.Map;

public class ExcelDataReader {

    /**

     * 读取Excel数据并返回List<Map<String, Object>>类型的结果

     * @param file Excel文件

     * @return Excel数据的List<Map<String, Object>>结果

     * @throws IOException 当读取Excel文件出现错误时抛出IOException

     */

    public static List<Map<String, Object>> readExcelData(File file) throws IOException {

        List<Map<String, Object>> dataList = new ArrayList<>(); // 创建存储Excel数据的List

        FileInputStream fis = new FileInputStream(file); // 创建文件输入流

        Workbook workbook = WorkbookFactory.create(fis); // 创建Workbook对象

        Sheet sheet = workbook.getSheetAt(0); // 获取第一个Sheet

        int rowCount = sheet.getLastRowNum(); // 获取行数

        Row headerRow = sheet.getRow(0); // 获取标题行

        int columnCount = headerRow.getLastCellNum(); // 获取列数

        for (int i = 1; i <= rowCount; i++) { // 遍历每一行（跳过标题行）

            Row row = sheet.getRow(i);

            Map<String, Object> rowData = new HashMap<>();

            for (int j = 0; j < columnCount; j++) { // 遍历每一列

                Cell cell = row.getCell(j);

                String columnName = headerRow.getCell(j).getStringCellValue(); // 获取列名

                Object cellValue;

                switch (cell.getCellType()) { // 根据单元格类型获取单元格值

                    case STRING:

                        cellValue = cell.getStringCellValue();

                        break;

                    case NUMERIC:

                        cellValue = cell.getNumericCellValue();

                        break;

                    case BOOLEAN:

                        cellValue = cell.getBooleanCellValue();

                        break;

                    case FORMULA:

                        cellValue = cell.getCellFormula();

                        break;

                    default:

                        cellValue = null;

                }

                rowData.put(columnName, cellValue); // 将列名和单元格值存入rowData

            }

            dataList.add(rowData); // 将rowData存入dataList

        }

        workbook.close(); // 关闭Workbook对象

        fis.close(); // 关闭文件输入流

        return dataList; // 返回Excel数据的结果

    }

}

// 函数示例

// 读取Excel数据示例

// 入参：file，Excel文件

// 出参：dataList，Excel数据的List<Map<String, Object>>结果

// 调用示例：

// File file = new File("data.xlsx");

// List<Map<String, Object>> dataList = ExcelDataReader.readExcelData(file);

// System.out.println(dataList);

// 输出结果：例如，Excel数据为：

// | Name  | Age | Grade |

// |-------|-----|-------|

// | Alice | 18  | A     |

// | Bob   | 20  | B     |

// 则输出结果为：[{Name=Alice, Age=18, Grade=A}, {Name=Bob, Age=20, Grade=B}]

// 表示Excel数据被封装为List<Map<String, Object>>的格式

The above code clearly shows how to use the Apache POI library to read an Excel file and convert its contents into a specific data structure, taking into account the different types of cells and getting their values correctly. At the same time, attention was also paid to closing the workbook and input stream at the end to avoid possible resource leaks.

Of course, due to the overall format content of EXCEL, it will affect the reading of the real data of valid rows or columns, and relevant valid verification of rows and columns is required. Therefore, based on the above code, developers only need to make the following modifications to obtain ready-to-use code, which greatly improves development efficiency.

1 ) First determine the column, because the actual length of the column will affect the reading of the row;

2 ) Read the header of the first row. If a blank column is encountered, the valid column is considered to be the subscript of the previous column.

3 ) After obtaining the valid columns, traverse each row of data. If an entire row is empty, jump out of the loop and end the data acquisition.

To sum up, on the basis of supporting the creation of all types of functions in seconds, FuncGPT (Hui Function) has an in-depth study and understanding of Java syntax through best practices in coding and joint training with large-scale machines, so the generated function code High quality, compliant with industry specifications, and avoiding common coding errors and inefficiencies. On the other hand, compared with the demo-level code cases received by search engines, FuncGPT can provide developers with solution ideas for different customized demand scenarios. Based on relatively accurate code solutions, developers With just a few tweaks, it can be generated to meet a developer's specific functional needs.

FuncGPT (FuncGPT) is now available for free use, download link: https://c.suo.nz/cri4s

After studying the code quality, development efficiency increased by 10 times and bugs were reduced by 20 times! !

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