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test.go
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package main
import (
"encoding/base64"
"fmt"
"image"
_ "image/gif"
_ "image/jpeg"
_ "image/png"
// "io/ioutil"
"bytes"
"net/http"
"net/url"
"os"
"strconv"
"time"
"github.com/gin-gonic/gin"
"github.com/360EntSecGroup-Skylar/excelize"
)
func main() {
r := gin.Default()
r.GET("/ping", func(c *gin.Context) {
var p1 = IdentityEx{
Id: 1,
Realname: "name1",
CardId: "1111",
CardFace: "img2",
CheckFace: "img2",
IdentityAddress: "xxx",
CreatedAt: time.Now(),
FirstCaptureTime: 1546275661,
Source: "人证一体机",
Gender: "男",
}
var p2 = IdentityEx{
Id: 2,
Realname: "name2",
CardId: "2222",
CardFace: "img2",
CheckFace: "img3",
IdentityAddress: "xxx2",
CreatedAt: time.Now(),
FirstCaptureTime: 1548954061,
Source: "人证一体机",
Gender: "男",
}
var datas = []IdentityEx{p1, p2}
ExportPeoples(datas, c)
})
http.ListenAndServe("10.58.122.66:8888", r)
}
// 证件照是png,抓拍照jpg
type IdentityEx struct {
Id int `gorm:"AUTO_INCREMENT"` //自增ID
Realname string `gorm:"default:''" ` //姓名
CardId string `gorm:"default:0"` //身份证号
CardFace string `gorm:"type:text"` //证件照
CheckFace string `gorm:"type:text"` //抓拍照
IdentityAddress string `gorm:"default:''"` //身份证地址
DeviceSn string `gorm:"default:''"` //设备序列号
RegistrationResult int `gorm:"default:0"`
Feature string `gorm:"default:''"` //人证机抓拍照Feature
ClusterId int32 `gorm:"default:0"` //抓拍找聚类Id
CreatedAt time.Time `gorm:"default:''"` //刷证时间
FirstCaptureTime int64 `gorm:"default:0"` //首次人脸抓拍时间
Source string `gorm:"default:'人证一体机'"` //刷证来源
Gender string `gorm:"default:''"` //性别
}
// A B C D E F G H I
// 序号 客户姓名 身份证号 性别 刷证时间 首次人脸抓拍时间 身份证件照 现场核验照 刷证来源
func ExportPeoples(datas []IdentityEx, c *gin.Context) (string, error) {
filename := "全部刷证记录_" + time.Now().Format("20060102150405") + ".xlsx"
// 创建excel表格
xlsx := excelize.NewFile()
defer func() {
// c.Writer.WriteString("\xEF\xBB\xBF") // 写入UTF-8 BOM
/*xlsx data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,*/
/*doc data:application/vnd.openxmlformats-officedocument.wordprocessingml.document;base64,*/
/*pdf data:application/pdf;base64,*/
/*xls data:application/vnd.ms-excel;base64,*/
/*rtf data:application/msword;base64,*/
/*data:application/vnd.ms-excel;base64,*/
v := url.Values{}
v.Add("filename", filename)
c.Writer.Header().Set("Content-Disposition", "attachment;"+v.Encode())
c.Writer.Header().Add("Content-Type", "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
xlsx.WriteTo(c.Writer)
// c.Writer.Flush()
c.Writer.(http.Flusher).Flush()
}()
// 生成标题 2019-07-03 10:14:23
title := []string{"序号", "客户姓名", "身份证号", "性别", "刷证时间", "首次人脸抓拍时间", "身份证件照", "现场核验照", "刷证来源"}
for i := 0; i < len(title); i++ {
//65==A A1~I1
xlsx.SetCellValue("Sheet1", string(65+i)+"1", title[i])
}
// 先设置列宽 C-F设为2cm 每行高度2cm
width, height := 2.54, 2.54 //cm
sheet := "Sheet1"
if err := SetCellWtdth(xlsx, sheet, "G", "H", width); err != nil {
fmt.Println("SetCellWtdth err:", err)
return "", err
}
for k, p := range datas {
rownum := k + 2
// 每行高度2cm 第一行是标题,数据从第二行开始
if err := SetCellHeight(xlsx, sheet, rownum, height); err != nil {
fmt.Println("SetCellHeight err :", err)
return "", err
}
timeLayout := "2006-01-02 15:04:05"
// A B C D E F G H I
// 序号 客户姓名 身份证号 性别 刷证时间 首次人脸抓拍时间 身份证件照 现场核验照 刷证来源
xlsx.SetCellValue(sheet, "A"+strconv.Itoa(rownum), rownum-1) //从第二行开始
xlsx.SetCellValue(sheet, "B"+strconv.Itoa(rownum), p.Realname)
xlsx.SetCellValue(sheet, "C"+strconv.Itoa(rownum), p.CardId)
xlsx.SetCellValue(sheet, "D"+strconv.Itoa(rownum), p.Gender)
xlsx.SetCellValue(sheet, "E"+strconv.Itoa(rownum), p.CreatedAt.Format(timeLayout)) //time=>string
xlsx.SetCellValue(sheet, "F"+strconv.Itoa(rownum), time.Unix(p.FirstCaptureTime, 0).Format(timeLayout)) //unix=>string 设置时间戳 使用模板格式化为日期字符串
xlsx.SetCellValue(sheet, "I"+strconv.Itoa(rownum), p.Source)
// 证件照是png,抓拍照jpg
if err := AddImgBase64ToExcel(xlsx, sheet, "G"+strconv.Itoa(rownum), width, height, p.CardFace, ".png", p.Realname); err != nil {
fmt.Println("err")
return "", err
}
if err := AddImgBase64ToExcel(xlsx, sheet, "H"+strconv.Itoa(rownum), width, height, p.CheckFace, ".jpg", p.Realname); err != nil {
return "", err
}
// for k, v := range i {
// location := string(65+k+2) + strconv.Itoa(rownum)
// if code := AddImgToExcel(xlsx, sheet, location, width, height, v.SavePath); code != 0 {
// return "", code
// }
// }
}
return filename, nil
}
func openfile() (f *excelize.File) {
f, err := excelize.OpenFile("filename")
if err != nil {
fmt.Println(err)
return nil
}
return f
}
// AddPicture(sheet, cell, picture, format string)
//f.AddPictureFromBytes(sheet, cell, format, name, "jpeg", file) file, _ := ioutil.ReadFile(picture)
func AddImgBase64ToExcel(xlsx *excelize.File, sheet, cell string, width, height float64, imgbase64, imgext, realname string) error {
// tmpfile := realname + "." + imgext
// os.Remove(tmpfile)
content, err := base64.StdEncoding.DecodeString(imgbase64)
if err != nil {
fmt.Println("err1:", err)
return err
}
c, _, err := image.DecodeConfig(bytes.NewReader(content))
// c, _, err := image.DecodeConfig(f)
if err != nil {
fmt.Println("err2:", err)
return err
}
wmultiple, hmultiple := ImageZoom(width, height, float64(c.Width), float64(c.Height))
multiple := wmultiple
if hmultiple < wmultiple {
multiple = hmultiple
}
multiplestr := strconv.FormatFloat(multiple, 'f', 3, 64) //保留3位小数
format := `{"x_scale": ` + multiplestr + `, "y_scale": ` + multiplestr + `}`
err = xlsx.AddPictureFromBytes(sheet, cell, format, realname, imgext, content)
if err != nil {
fmt.Println("AddPicture err :", err)
return err
}
fmt.Println("okkk")
return nil
// err = ioutil.WriteFile(tmpfile, content, os.ModePerm)
// if err != nil {
// fmt.Println("err2:", err)
// return err
// }
// // defer os.Remove(tmpfile)
// _, err = os.Open(tmpfile)
// if err != nil {
// fmt.Println("err3:", err)
// return err
// }
}
func AddImgToExcel(xlsx *excelize.File, sheet, location string, width, height float64, imgpath string) error {
f, _ := os.Open(imgpath)
c, _, err := image.DecodeConfig(f)
if err != nil {
fmt.Println("SetCellHeight err :", err)
return err
}
wmultiple, hmultiple := ImageZoom(width, height, float64(c.Width), float64(c.Height))
multiple := wmultiple
if hmultiple < wmultiple {
multiple = hmultiple
}
multiplestr := strconv.FormatFloat(multiple, 'f', 3, 64) //保留3位小数
err = xlsx.AddPicture(sheet, location, imgpath, `{"x_scale": `+multiplestr+`, "y_scale": `+multiplestr+`}`)
if err != nil {
fmt.Println("AddPicture err :", err)
return err
}
return nil
}
// 像素(72磅=1英寸=2.54厘米=96像素)
/*
//像素(x) dpi(d) 英寸(y) y=x/dpi cm=y*2.54 2=144/72
//行高 磅=pixelH*0.6 - 0.05
//列宽 字符=(pixelW-7)/9 + 7.0/9
excel以dpi=120为准
1英寸=像素/120
1英寸=2.54cm
行高单位:磅=像素*0.6-0.05;
列宽单位:字符=(像素-7)/9;
行高有个很奇怪的舍入:0.08~0.12都记作0.1 0.13~0.17都记作0.15 ,舍入单位为0.05。所有为了全入起见,原大小+0.05
*/
// 1yc=72bang=120pixel=2.54cm
//cell cm image pixel
// excel以120为dpi,图片以png保存在excel中,以dpi为96操作 像素需要*120/96 相当于变成了原来的1.25倍
func ImageZoom(width, height, imgWidth, ImgHeight float64) (wmultiple, hmultiple float64) {
pixelH := height / 2.54 * 120 //像素
pixelW := width / 2.54 * 120 //像素
// 用像素比计算出缩放比例,宽高中选择缩放小的一方
var pixelImgW float64 = float64(imgWidth * 120 / 96)
var pixelImgH float64 = float64(ImgHeight * 120 / 96)
wmultiple = pixelW / pixelImgW
hmultiple = pixelH / pixelImgH
return
}
// 列宽 12.56字符=120pixel
// 行号 72磅=120pixel
// 1yc=72bang=120pixel=2.54cm
func SetCellHeight(f *excelize.File, sheet string, row int, height float64) error {
// 传入cm,写成像素
// 设置单元格长宽
//行高有个很奇怪的舍入:0.08~0.12都记作0.1 0.13~0.17都记作0.15 ,舍入单位为0.05。所有为了全入起见,原大小+0.05
pixelH := height / 2.54 * 120 //像素
ch := pixelH*0.6 - 0.05 + 0.05
fmt.Println("ch:", ch)
if err := f.SetRowHeight(sheet, row, ch); err != nil {
fmt.Println(err)
return err
}
return nil
}
func SetCellWtdth(f *excelize.File, sheet, startcol, endcol string, width float64) error {
// 传入cm,写成像素
// 设置单元格长宽
pixelW := width / 2.54 * 120 //像素
cw := (pixelW-7)/9 + 7.0/9
fmt.Println("cw:", cw)
if err := f.SetColWidth(sheet, startcol, endcol, cw); err != nil {
fmt.Println(err)
return err
}
return nil
}
var img1 = 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`