业务背景

业务需求要求开发一个异步上传文件的接口,并支持上传进度的查询。

需求分析

ZIP压缩包中,包含一个csv文件和一个图片文件夹,要求:解析csv数据存入mongo,将图片文件夹中的图片信息对应上csv中的人员信息。

ZIP压缩包解压

"archive/zip"
func decompressZip(filePath, dest string) (string, string, error) {
	var csvName string
	imageFolder := path.Base(filePath)
	ext := path.Ext(filePath)
	folderName := strings.TrimSuffix(imageFolder, ext)
	src, err := os.Open(filePath)
	if err != nil {
		return "", "", err
	}
	defer src.Close()

	zipFile, err := zip.OpenReader(src.Name())
	if err != nil {
		return "", "", err
	}
	defer zipFile.Close()

	err = os.MkdirAll(path.Join(dest, folderName), os.ModePerm)
	for _, innerFile := range zipFile.File {
		info := innerFile.FileInfo()
		if info.IsDir() {
			continue
		}
		dst, err := os.Create(path.Join(dest, folderName, info.Name()))
		if err != nil {
			fmt.Println(err.Error())
			continue
		}
		src, err := innerFile.Open()
		if err != nil {
			fmt.Println(err.Error())
			continue
		}
		io.Copy(dst, src)
	}
	destPath, err := ioutil.ReadDir(path.Join(dest, folderName))
	if err != nil {
		return "", "", err
	}
	for _, v := range destPath {
		if path.Ext(v.Name()) == ".csv" {
			csvName = path.Join(dest, folderName, v.Name())
		}
	}
	return folderName, csvName, nil
}

在这个解压的过程中,压缩包的树结构只能到2层
import.zip
┝┅┅import.csv
┖┅┅images
在解压后,所有的文件都会在同一个目录下,既images中的图片会变成和.csv文件同级

验证csv文件编码格式是否为UTF-8

func ValidUTF8(buf []byte) bool {
	nBytes := 0
	for i := 0; i < len(buf); i++ {
		if nBytes == 0 {
			if (buf[i] & 0x80) != 0 { //与操作之后不为0,说明首位为1
				for (buf[i] & 0x80) != 0 {
					buf[i] <<= 1 //左移一位
					nBytes++     //记录字符共占几个字节
				}
				if nBytes < 2 || nBytes > 6 { //因为UTF8编码单字符最多不超过6个字节
					return false
				}
				nBytes-- //减掉首字节的一个计数
			}
		} else { //处理多字节字符
			if buf[i]&0xc0 != 0x80 { //判断多字节后面的字节是否是10开头
				return false
			}
			nBytes--
		}
	}
	return nBytes == 0
}

后续支持utf-8转码
这个utf8编码判断方法是网上down下来的,后续优化一下

主逻辑

type LineWrong struct {
	LineNumber int64  `json:"line_number"`
	Msg        string `json:"msg"`
}

func Import(/*自定义参数*/){
	// decompress zip file to destination address
	folder, csvName, err := Decompress(path.Join(constant.FolderPrefix, req.FilePath), dest)
	if err != nil {
		fmt.Println(err.Error())
	}

	// check if the file encoding is utf8
	b, err := ioutil.ReadFile(csvName)
	if err != nil {
		fmt.Println(err.Error())
	}
	if !utils.ValidUTF8(b) {
		fmt.Println(errors.New("数据编码错误,请使用utf-8格式csv!"))
	}

	// create goroutine to analysis data into mongodb
	var wg sync.WaitGroup
	wg.Add(1)

	// used to interrupt goroutine
	resultChan := make(chan error)
	// used to record wrong row in csv
	lW := make(chan []LineWrong)
	go func(ctx *gin.Context, Name, csvPath, dir, folder string) {
		defer wg.Done()
		tidT, ciT, lwT, err := importCsv(ctx, Name, csvPath, dir, folder)
		resultChan <- err
		if err != nil {
			fmt.Println(err.Error())
		}
		lW <- lwT
		if len(lwT) == 0 {
			importClassData(ctx, tidT, ciT)
		}
	}(ctx, req.Name, csvName, dest, folder)

	err = <-resultChan
	lineWrong := <-lW
	close(lW)
	···
}

// pre-analysis data in csv and through wrong data with line numbers and information
func importCsv()(){
	···
}

// analysis data again and save data into mongodb, if is there any error,through them same as import()
func importClassData()(){
	···
	conn, err := connect()
	if err != nil {
		return err
	}
	defer conn.Close()
	conn.Do("hset", taskId, "task_id", (curLine*100)/totalLines)
	···
}
package "sync"sync.WaitGroup

查询进度接口

func QueryImport()(){
	conn, err := connect()
	if err != nil {
		return nil, err
	}
	defer conn.Close()

	progress, _ := conn.Do("hget", key, field)
	if pro, ok := progress.([]uint8); ok {
		ba := []byte{}
		for _, b := range pro {
			ba = append(ba, byte(b))
		}
		progress,_ = strconv.Atoi(string(ba))
	}
	return progress
}

从redis中取出来的数据是[]uint8类型数据,先断言,然后转类型返回。