Files
sundynix-micro-be/app/plant/api/internal/logic/ocr/ocrClassifyLogic.go
T
2026-05-24 01:41:22 +08:00

138 lines
3.9 KiB
Go

// Code scaffolded by goctl. Safe to edit.
// goctl 1.10.1
package ocr
import (
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"net/url"
"strings"
"sundynix-micro-go/app/plant/api/internal/svc"
"sundynix-micro-go/app/plant/api/internal/types"
plantModel "sundynix-micro-go/app/plant/model"
"github.com/zeromicro/go-zero/core/logx"
)
type OcrClassifyLogic struct {
logx.Logger
ctx context.Context
svcCtx *svc.ServiceContext
}
// OCR植物识别
func NewOcrClassifyLogic(ctx context.Context, svcCtx *svc.ServiceContext) *OcrClassifyLogic {
return &OcrClassifyLogic{
Logger: logx.WithContext(ctx),
ctx: ctx,
svcCtx: svcCtx,
}
}
// baiduTokenResp 百度 token 响应
type baiduTokenResp struct {
AccessToken string `json:"access_token"`
}
// OcrClassify 调用百度 AI 植物识别接口
func (l *OcrClassifyLogic) OcrClassify(req *types.OcrReq) (interface{}, error) {
// 1. 获取百度 access_token
apiKey := l.svcCtx.Config.BaiduOcr.ApiKey
secretKey := l.svcCtx.Config.BaiduOcr.SecretKey
if apiKey == "" || secretKey == "" {
return nil, fmt.Errorf("百度 OCR 未配置 ApiKey/SecretKey")
}
tokenURL := fmt.Sprintf(
"https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s",
apiKey, secretKey,
)
tokenResp, err := http.Post(tokenURL, "application/x-www-form-urlencoded", nil)
if err != nil {
return nil, fmt.Errorf("获取百度 token 失败: %w", err)
}
defer tokenResp.Body.Close()
tokenBody, _ := io.ReadAll(tokenResp.Body)
var tokenObj baiduTokenResp
if err = json.Unmarshal(tokenBody, &tokenObj); err != nil || tokenObj.AccessToken == "" {
return nil, fmt.Errorf("解析百度 token 失败")
}
// 2. 调用植物识别接口(传入图片 URL)
apiURL := "https://aip.baidubce.com/rest/2.0/image-classify/v1/plant?access_token=" + tokenObj.AccessToken
payload := strings.NewReader("url=" + url.QueryEscape(req.ImageUrl) + "&baike_num=1")
classifyReq, err := http.NewRequest("POST", apiURL, payload)
if err != nil {
return nil, fmt.Errorf("创建请求失败: %w", err)
}
classifyReq.Header.Set("Content-Type", "application/x-www-form-urlencoded")
client := &http.Client{}
classifyResp, err := client.Do(classifyReq)
if err != nil {
return nil, fmt.Errorf("调用百度植物识别接口失败: %w", err)
}
defer classifyResp.Body.Close()
body, err := io.ReadAll(classifyResp.Body)
if err != nil {
return nil, fmt.Errorf("读取识别结果失败: %w", err)
}
// 3. 解析为结构化识别结果并写入 ClassifyRecord 表
var baiduResp struct {
LogId uint64 `json:"log_id"`
Result []struct {
Score float64 `json:"score"`
Name string `json:"name"`
BaikeInfo *struct {
BaikeUrl string `json:"baike_url"`
ImageUrl string `json:"image_url"`
Description string `json:"description"`
} `json:"baike_info"`
} `json:"result"`
}
_ = json.Unmarshal(body, &baiduResp)
if baiduResp.LogId > 0 {
var dbResults plantModel.ResultsArray = make(plantModel.ResultsArray, 0, len(baiduResp.Result))
for _, item := range baiduResp.Result {
var baikeInfo *plantModel.BaikeInfo
if item.BaikeInfo != nil {
baikeInfo = &plantModel.BaikeInfo{
BaikeUrl: item.BaikeInfo.BaikeUrl,
ImageUrl: item.BaikeInfo.ImageUrl,
Description: item.BaikeInfo.Description,
}
}
dbResults = append(dbResults, plantModel.ResultItem{
Score: item.Score,
Name: item.Name,
BaikeInfo: baikeInfo,
})
}
userID := fmt.Sprintf("%v", l.ctx.Value("userId"))
record := plantModel.ClassifyRecord{
UserID: userID,
LogID: baiduResp.LogId,
AllResults: dbResults,
}
if errDb := l.svcCtx.DB.Create(&record).Error; errDb != nil {
l.Logger.Errorf("植物识别记录写入数据库失败: %v", errDb)
}
}
// 4. 直接返回百度原始结果
var result interface{}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("解析识别结果失败: %w", err)
}
return result, nil
}