ai_scheduler/internal/tools/bbxt/upload.go

package bbxt

import (
	"ai_scheduler/internal/pkg/utils_oss"
	"bytes"
	"fmt"
	"io"
	"mime/multipart"
	"net/http"
	"os"
	"path/filepath"
	"strings"

	"github.com/gofiber/fiber/v2/log"
	"github.com/xuri/excelize/v2"
)

type Uploader struct {
	ossClient *utils_oss.Client
}

const RequestUrl = "http://192.168.6.109:8010/api/v1/convert"

func NewUploader(oss *utils_oss.Client) *Uploader {
	return &Uploader{
		ossClient: oss,
	}
}

func (u *Uploader) Run(report *ReportRes) (err error) {
	if len(report.Path) == 0 {
		return
	}
	f, err := excelize.OpenFile(report.Path)
	if err != nil {
		return err
	}
	defer f.Close()

	excelBytes, err := f.WriteToBuffer()
	if err != nil {
		return fmt.Errorf("write to bytes failed: %v", err)
	}

	picBytes, err := u.excel2picPy(report.Path, excelBytes.Bytes())
	if err != nil {
		return fmt.Errorf("excel2picPy failed: %v", err)
	}
	// b.savePic("temp.png", picBytes) // 本地生成图片，仅测试
	// outputPath 提取文件名（不包含扩展名）
	filename := filepath.Base(report.Path)
	filename = strings.TrimSuffix(filename, filepath.Ext(filename))
	report.Url = u.uploadToOSS(filename, picBytes)
	log.Infof("imgUrl: %s", report.Url)

	return
}

// excel2picPy 将excel转换为图片python
// python 接口如下：
// curl --location --request POST 'http://192.168.6.109:8010/api/v1/convert' \
// --header 'Content-Type: multipart/form-data; boundary=--------------------------952147881043913664015069' \
// --form 'file=@"C:\\Users\\Administrator\\Downloads\\销售同比分析2025-12-29 0-12点.xlsx"' \
// --form 'sheet_name="销售同比分析"'
func (u *Uploader) excel2picPy(templatePath string, excelBytes []byte) ([]byte, error) {
	// 1. 获取 Sheet Name
	// 尝试从 excelBytes 解析，如果失败则使用默认值 "Sheet1"
	sheetName := "Sheet1"
	f, err := excelize.OpenReader(bytes.NewReader(excelBytes))
	if err == nil {
		sheetName = f.GetSheetName(0)
		if sheetName == "" {
			sheetName = "Sheet1"
		}
		f.Close()
	}

	// 2. 构造 Multipart 请求
	body := &bytes.Buffer{}
	writer := multipart.NewWriter(body)

	// 添加文件字段
	// 使用 templatePath 的文件名作为上传文件名，如果没有则用 default.xlsx
	filename := "default.xlsx"
	if templatePath != "" {
		filename = filepath.Base(templatePath)
	}

	part, err := writer.CreateFormFile("file", filename)
	if err != nil {
		return nil, fmt.Errorf("create form file failed: %v", err)
	}
	if _, err = part.Write(excelBytes); err != nil {
		return nil, fmt.Errorf("write file part failed: %v", err)
	}

	// 添加 sheet_name 字段
	if err = writer.WriteField("sheet_name", sheetName); err != nil {
		return nil, fmt.Errorf("write field sheet_name failed: %v", err)
	}

	if err = writer.Close(); err != nil {
		return nil, fmt.Errorf("close writer failed: %v", err)
	}

	// 3. 发送 HTTP POST 请求

	req, err := http.NewRequest("POST", RequestUrl, body)
	if err != nil {
		return nil, fmt.Errorf("create request failed: %v", err)
	}
	req.Header.Set("Content-Type", writer.FormDataContentType())

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return nil, fmt.Errorf("send request failed: %v", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		respBody, _ := io.ReadAll(resp.Body)
		return nil, fmt.Errorf("api request failed with status: %d, body: %s", resp.StatusCode, string(respBody))
	}

	// 4. 读取响应 Body (图片内容)
	picBytes, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, fmt.Errorf("read response body failed: %v", err)
	}

	return picBytes, nil
}

// savePic 保存图片到本地
func (u *Uploader) savePic(outputPath string, picBytes []byte) error {
	dir := filepath.Dir(outputPath)
	if err := os.MkdirAll(dir, 0755); err != nil {
		return fmt.Errorf("create directory failed: %v", err)
	}
	return os.WriteFile(outputPath, picBytes, 0644)
}

// uploadToOSS 上传至 oss 返回图片url
func (u *Uploader) uploadToOSS(fileName string, fileBytes []byte) string {
	objectKey := fmt.Sprintf("ai-scheduler/data-analytics/images/%s.png", fileName)
	url, err := u.ossClient.UploadBytes(objectKey, fileBytes)
	if err != nil {
		log.Errorf("oss upload failed: %v", err)
		return ""
	}
	return url
}