Merge branch 'main' of gitee.com:blackfox/geekai

v4.1.5中，存在Merge冲突脚本 #237

CHANGELOG.md

@@ -1,4 +1,13 @@
 # 更新日志
+## v4.1.7
+* Bug修复：手机邮箱相关的注册问题 [#IB0HS5](https://gitee.com/blackfox/geekai/issues/IB0HS5)
+* Bug修复：音乐视频无法下载，思维导图下载后看不清文字[#IB0N2E](https://gitee.com/blackfox/geekai/issues/IB0N2E)
+* 功能优化：保存所有AIGC任务的原始信息，程序启动之后自动将未执行的任务加入到 redis 队列
+* 功能优化：失败的任务自动退回算力，而不需要在删除的时候再退回
+* 功能新增：支持设置一个专门的模型来翻译提示词，提供 Mate 提示词生成功能
+* Bug修复：修复图片对话的时候，上下文不起作用的Bug
+* 功能新增：管理后台新增批量导出兑换码功能
+
 ## v4.1.6
 * 功能新增：**支持OpenAI实时语音对话功能** :rocket: :rocket: :rocket:, Beta 版，目前没有做算力计费控制，目前只有 VIP 用户可以使用。
 * 功能优化：优化MysQL容器配置文档，解决MysQL容器资源占用过高问题

api/core/app_server.go

@@ -15,12 +15,6 @@ import (
 	"geekai/store/model"
 	"geekai/utils"
 	"geekai/utils/resp"
-	"github.com/gin-gonic/gin"
-	"github.com/go-redis/redis/v8"
-	"github.com/golang-jwt/jwt/v5"
-	"github.com/nfnt/resize"
-	"golang.org/x/image/webp"
-	"gorm.io/gorm"
 	"image"
 	"image/jpeg"
 	"io"
@@ -29,6 +23,15 @@ import (
 	"runtime/debug"
 	"strings"
 	"time"
+
+	"github.com/gin-gonic/gin"
+	"github.com/go-redis/redis/v8"
+	"github.com/golang-jwt/jwt/v5"
+	"github.com/imroc/req/v3"
+	"github.com/nfnt/resize"
+	"github.com/shirou/gopsutil/host"
+	"golang.org/x/image/webp"
+	"gorm.io/gorm"
 )
 
 type AppServer struct {
@@ -71,6 +74,25 @@ func (s *AppServer) Run(db *gorm.DB) error {
 		return fmt.Errorf("failed to decode system config: %v", err)
 	}
 	logger.Infof("http://%s", s.Config.Listen)
+
+	// 统计安装信息
+	go func() {
+		info, err := host.Info()
+		if err == nil {
+			apiURL := fmt.Sprintf("%s/%s", s.Config.ApiConfig.ApiURL, "api/installs/push")
+			timestamp := time.Now().Unix()
+			product := "geekai-plus"
+			signStr := fmt.Sprintf("%s#%s#%d", product, info.HostID, timestamp)
+			sign := utils.Sha256(signStr)
+			resp, err := req.C().R().SetBody(map[string]interface{}{"product": product, "device_id": info.HostID, "timestamp": timestamp, "sign": sign}).Post(apiURL)
+			if err != nil {
+				logger.Errorf("register install info failed: %v", err)
+			} else {
+				logger.Debugf("register install info success: %v", resp.String())
+			}
+		}
+	}()
+
 	return s.Engine.Run(s.Config.Listen)
 }
 

api/core/types/chat.go

@@ -16,7 +16,8 @@ type ApiRequest struct {
 	Stream              bool          `json:"stream,omitempty"`
 	Messages            []interface{} `json:"messages,omitempty"`
 	Tools               []Tool        `json:"tools,omitempty"`
-	Functions           []interface{} `json:"functions,omitempty"` // 兼容中转平台
+	Functions           []interface{} `json:"functions,omitempty"`       // 兼容中转平台
+	ResponseFormat      interface{}   `json:"response_format,omitempty"` // 响应格式
 
 	ToolChoice string `json:"tool_choice,omitempty"`
 

api/core/types/config.go

@@ -142,7 +142,6 @@ type SystemConfig struct {
 
 	OrderPayTimeout int    `json:"order_pay_timeout,omitempty"` //订单支付超时时间
 	VipInfoText     string `json:"vip_info_text,omitempty"`     // 会员页面充值说明
-	DefaultModels   []int  `json:"default_models,omitempty"`    // 默认开通的 AI 模型
 
 	MjPower       int `json:"mj_power,omitempty"`        // MJ 绘画消耗算力
 	MjActionPower int `json:"mj_action_power,omitempty"` // MJ 操作（放大，变换）消耗算力
@@ -164,6 +163,7 @@ type SystemConfig struct {
 	Copyright   string `json:"copyright"`     // 版权信息
 	MarkMapText string `json:"mark_map_text"` // 思维导入的默认文本
 
-	EnabledVerify  bool     `json:"enabled_verify"`   // 是否启用验证码
-	EmailWhiteList []string `json:"email_white_list"` // 邮箱白名单列表
+	EnabledVerify    bool     `json:"enabled_verify"`     // 是否启用验证码
+	EmailWhiteList   []string `json:"email_white_list"`   // 邮箱白名单列表
+	TranslateModelId int      `json:"translate_model_id"` // 用来做提示词翻译的大模型 id
 }

api/core/types/locked_map.go

@@ -16,7 +16,7 @@ type MKey interface {
 	string | int | uint
 }
 type MValue interface {
-	*WsClient | *ChatSession | context.CancelFunc | []Message
+	*WsClient | *ChatSession | context.CancelFunc | []interface{}
 }
 type LMap[K MKey, T MValue] struct {
 	lock sync.RWMutex

api/core/types/task.go

@@ -24,30 +24,31 @@ const (
 
 // MjTask MidJourney 任务
 type MjTask struct {
-	Id          uint     `json:"id"`      // 任务ID
-	TaskId      string   `json:"task_id"` // 中转任务ID
-	ClientId    string   `json:"client_id"`
-	ImgArr      []string `json:"img_arr"`
-	Type        TaskType `json:"type"`
-	UserId      int      `json:"user_id"`
-	Prompt      string   `json:"prompt,omitempty"`
-	NegPrompt   string   `json:"neg_prompt,omitempty"`
-	Params      string   `json:"full_prompt"`
-	Index       int      `json:"index,omitempty"`
-	MessageId   string   `json:"message_id,omitempty"`
-	MessageHash string   `json:"message_hash,omitempty"`
-	RetryCount  int      `json:"retry_count"`
-	ChannelId   string   `json:"channel_id"` // 渠道ID，用来区分是哪个渠道创建的任务，一个任务的 create 和 action 操作必须要再同一个渠道
-	Mode        string   `json:"mode"`       // 绘画模式，relax, fast, turbo
+	Id               uint     `json:"id"`      // 任务ID
+	TaskId           string   `json:"task_id"` // 中转任务ID
+	ClientId         string   `json:"client_id"`
+	ImgArr           []string `json:"img_arr"`
+	Type             TaskType `json:"type"`
+	UserId           int      `json:"user_id"`
+	Prompt           string   `json:"prompt,omitempty"`
+	NegPrompt        string   `json:"neg_prompt,omitempty"`
+	Params           string   `json:"full_prompt"`
+	Index            int      `json:"index,omitempty"`
+	MessageId        string   `json:"message_id,omitempty"`
+	MessageHash      string   `json:"message_hash,omitempty"`
+	ChannelId        string   `json:"channel_id"`         // 渠道ID，用来区分是哪个渠道创建的任务，一个任务的 create 和 action 操作必须要再同一个渠道
+	Mode             string   `json:"mode"`               // 绘画模式，relax, fast, turbo
+	TranslateModelId int      `json:"translate_model_id"` // 提示词翻译模型ID
 }
 
 type SdTask struct {
-	Id         int          `json:"id"` // job 数据库ID
-	Type       TaskType     `json:"type"`
-	ClientId   string       `json:"client_id"`
-	UserId     int          `json:"user_id"`
-	Params     SdTaskParams `json:"params"`
-	RetryCount int          `json:"retry_count"`
+	Id               int          `json:"id"` // job 数据库ID
+	Type             TaskType     `json:"type"`
+	ClientId         string       `json:"client_id"`
+	UserId           int          `json:"user_id"`
+	Params           SdTaskParams `json:"params"`
+	RetryCount       int          `json:"retry_count"`
+	TranslateModelId int          `json:"translate_model_id"` // 提示词翻译模型ID
 }
 
 type SdTaskParams struct {
@@ -73,7 +74,7 @@ type SdTaskParams struct {
 // DallTask DALL-E task
 type DallTask struct {
 	ClientId string `json:"client_id"`
-	JobId    uint   `json:"job_id"`
+	Id       uint   `json:"id"`
 	UserId   uint   `json:"user_id"`
 	Prompt   string `json:"prompt"`
 	N        int    `json:"n"`
@@ -81,7 +82,8 @@ type DallTask struct {
 	Size     string `json:"size"`
 	Style    string `json:"style"`
 
-	Power int `json:"power"`
+	Power            int `json:"power"`
+	TranslateModelId int `json:"translate_model_id"` // 提示词翻译模型ID
 }
 
 type SunoTask struct {
@@ -109,14 +111,15 @@ const (
 )
 
 type VideoTask struct {
-	ClientId string      `json:"client_id"`
-	Id       uint        `json:"id"`
-	Channel  string      `json:"channel"`
-	UserId   int         `json:"user_id"`
-	Type     string      `json:"type"`
-	TaskId   string      `json:"task_id"`
-	Prompt   string      `json:"prompt"` // 提示词
-	Params   VideoParams `json:"params"`
+	ClientId         string      `json:"client_id"`
+	Id               uint        `json:"id"`
+	Channel          string      `json:"channel"`
+	UserId           int         `json:"user_id"`
+	Type             string      `json:"type"`
+	TaskId           string      `json:"task_id"`
+	Prompt           string      `json:"prompt"` // 提示词
+	Params           VideoParams `json:"params"`
+	TranslateModelId int         `json:"translate_model_id"` // 提示词翻译模型ID
 }
 
 type VideoParams struct {

api/handler/admin/redeem_handler.go

@@ -8,6 +8,8 @@ package admin
 // * +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
 import (
+	"encoding/csv"
+	"fmt"
 	"geekai/core"
 	"geekai/core/types"
 	"geekai/handler"
@@ -35,12 +37,10 @@ func (h *RedeemHandler) List(c *gin.Context) {
 
 	session := h.DB.Session(&gorm.Session{})
 	if code != "" {
-		session.Where("code LIKE ?", "%"+code+"%")
+		session = session.Where("code LIKE ?", "%"+code+"%")
 	}
-	if status == 0 {
-		session.Where("redeem_at = ?", 0)
-	} else if status == 1 {
-		session.Where("redeem_at > ?", 0)
+	if status >= 0 {
+		session = session.Where("redeemed_at", status)
 	}
 
 	var total int64
@@ -80,6 +80,65 @@ func (h *RedeemHandler) List(c *gin.Context) {
 	resp.SUCCESS(c, vo.NewPage(total, page, pageSize, items))
 }
 
+// Export 导出 CVS 文件
+func (h *RedeemHandler) Export(c *gin.Context) {
+	var data struct {
+		Status int   `json:"status"`
+		Ids    []int `json:"ids"`
+	}
+	if err := c.ShouldBindJSON(&data); err != nil {
+		resp.ERROR(c, types.InvalidArgs)
+	}
+
+	session := h.DB.Session(&gorm.Session{})
+	if data.Status >= 0 {
+		session = session.Where("redeemed_at", data.Status)
+	}
+	if len(data.Ids) > 0 {
+		session = session.Where("id IN ?", data.Ids)
+	}
+
+	var items []model.Redeem
+	err := session.Order("id DESC").Find(&items).Error
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+
+	// 设置响应头，告诉浏览器这是一个附件，需要下载
+	c.Header("Content-Disposition", "attachment; filename=output.csv")
+	c.Header("Content-Type", "text/csv")
+
+	// 创建一个 CSV writer
+	writer := csv.NewWriter(c.Writer)
+
+	// 写入 CSV 文件的标题行
+	headers := []string{"名称", "兑换码", "算力", "创建时间"}
+	if err := writer.Write(headers); err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+
+	// 写入数据行
+	records := make([][]string, 0)
+	for _, item := range items {
+		records = append(records, []string{item.Name, item.Code, fmt.Sprintf("%d", item.Power), item.CreatedAt.Format("2006-01-02 15:04:05")})
+	}
+	for _, record := range records {
+		if err := writer.Write(record); err != nil {
+			resp.ERROR(c, err.Error())
+			return
+		}
+	}
+
+	// 确保所有数据都已写入响应
+	writer.Flush()
+	if err := writer.Error(); err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+}
+
 func (h *RedeemHandler) Create(c *gin.Context) {
 	var data struct {
 		Name  string `json:"name"`

api/handler/chat_handler.go

@@ -40,7 +40,7 @@ type ChatHandler struct {
 	uploadManager  *oss.UploaderManager
 	licenseService *service.LicenseService
 	ReqCancelFunc  *types.LMap[string, context.CancelFunc] // HttpClient 请求取消 handle function
-	ChatContexts   *types.LMap[string, []types.Message]    // 聊天上下文 Map [chatId] => []Message
+	ChatContexts   *types.LMap[string, []interface{}]      // 聊天上下文 Map [chatId] => []Message
 	userService    *service.UserService
 }
 
@@ -51,7 +51,7 @@ func NewChatHandler(app *core.AppServer, db *gorm.DB, redis *redis.Client, manag
 		uploadManager:  manager,
 		licenseService: licenseService,
 		ReqCancelFunc:  types.NewLMap[string, context.CancelFunc](),
-		ChatContexts:   types.NewLMap[string, []types.Message](),
+		ChatContexts:   types.NewLMap[string, []interface{}](),
 		userService:    userService,
 	}
 }
@@ -143,8 +143,8 @@ func (h *ChatHandler) sendMessage(ctx context.Context, session *types.ChatSessio
 	}
 
 	// 加载聊天上下文
-	chatCtx := make([]types.Message, 0)
-	messages := make([]types.Message, 0)
+	chatCtx := make([]interface{}, 0)
+	messages := make([]interface{}, 0)
 	if h.App.SysConfig.EnableContext {
 		if h.ChatContexts.Has(session.ChatId) {
 			messages = h.ChatContexts.Get(session.ChatId)
@@ -174,7 +174,7 @@ func (h *ChatHandler) sendMessage(ctx context.Context, session *types.ChatSessio
 
 		for i := len(messages) - 1; i >= 0; i-- {
 			v := messages[i]
-			tks, _ = utils.CalcTokens(v.Content, req.Model)
+			tks, _ = utils.CalcTokens(utils.JsonEncode(v), req.Model)
 			// 上下文 token 超出了模型的最大上下文长度
 			if tokens+tks >= session.Model.MaxContext {
 				break
@@ -192,8 +192,9 @@ func (h *ChatHandler) sendMessage(ctx context.Context, session *types.ChatSessio
 		logger.Debugf("聊天上下文：%+v", chatCtx)
 	}
 	reqMgs := make([]interface{}, 0)
-	for _, m := range chatCtx {
-		reqMgs = append(reqMgs, m)
+
+	for i := len(chatCtx) - 1; i >= 0; i-- {
+		reqMgs = append(reqMgs, chatCtx[i])
 	}
 
 	fullPrompt := prompt
@@ -258,7 +259,7 @@ func (h *ChatHandler) sendMessage(ctx context.Context, session *types.ChatSessio
 
 	logger.Debugf("%+v", req.Messages)
 
-	return h.sendOpenAiMessage(chatCtx, req, userVo, ctx, session, role, prompt, ws)
+	return h.sendOpenAiMessage(req, userVo, ctx, session, role, prompt, ws)
 }
 
 // Tokens 统计 token 数量
@@ -371,7 +372,7 @@ func (h *ChatHandler) doRequest(ctx context.Context, req types.ApiRequest, sessi
 	} else {
 		client = http.DefaultClient
 	}
-	logger.Debugf("Sending %s request, API KEY:%s, PROXY: %s, Model: %s", apiKey.ApiURL, apiURL, apiKey.ProxyURL, req.Model)
+	logger.Infof("Sending %s request, API KEY:%s, PROXY: %s, Model: %s", apiKey.ApiURL, apiURL, apiKey.ProxyURL, req.Model)
 	request.Header.Set("Authorization", fmt.Sprintf("Bearer %s", apiKey.Value))
 	// 更新API KEY 最后使用时间
 	h.DB.Model(&model.ApiKey{}).Where("id", apiKey.Id).UpdateColumn("last_used_at", time.Now().Unix())
@@ -399,17 +400,15 @@ func (h *ChatHandler) saveChatHistory(
 	req types.ApiRequest,
 	usage Usage,
 	message types.Message,
-	chatCtx []types.Message,
 	session *types.ChatSession,
 	role model.ChatRole,
 	userVo vo.User,
 	promptCreatedAt time.Time,
 	replyCreatedAt time.Time) {
 
-	useMsg := types.Message{Role: "user", Content: usage.Prompt}
-	// 更新上下文消息，如果是调用函数则不需要更新上下文
+	// 更新上下文消息
 	if h.App.SysConfig.EnableContext {
-		chatCtx = append(chatCtx, useMsg)  // 提问消息
+		chatCtx := req.Messages            // 提问消息
 		chatCtx = append(chatCtx, message) // 回复消息
 		h.ChatContexts.Put(session.ChatId, chatCtx)
 	}

api/handler/chat_model_handler.go

@@ -30,29 +30,25 @@ func NewChatModelHandler(app *core.AppServer, db *gorm.DB) *ChatModelHandler {
 func (h *ChatModelHandler) List(c *gin.Context) {
 	var items []model.ChatModel
 	var chatModels = make([]vo.ChatModel, 0)
-	var res *gorm.DB
 	session := h.DB.Session(&gorm.Session{}).Where("enabled", true)
 	t := c.Query("type")
 	if t != "" {
 		session = session.Where("type", t)
 	}
-	// 如果用户没有登录，则加载所有开放模型
-	if !h.IsLogin(c) {
-		res = session.Where("open", true).Order("sort_num ASC").Find(&items)
-	} else {
+
+	session = session.Where("open", true)
+	if h.IsLogin(c) {
 		user, _ := h.GetLoginUser(c)
 		var models []int
 		err := utils.JsonDecode(user.ChatModels, &models)
-		if err != nil {
-			resp.ERROR(c, "当前用户没有订阅任何模型")
-			return
-		}
 		// 查询用户有权限访问的模型以及所有开放的模型
-		res = h.DB.Where("enabled = ?", true).Where(
-			h.DB.Where("id IN ?", models).Or("open", true),
-		).Order("sort_num ASC").Find(&items)
+		if err == nil {
+			session = session.Or("id IN ?", models)
+		}
+
 	}
 
+	res := session.Order("sort_num ASC").Find(&items)
 	if res.Error == nil {
 		for _, item := range items {
 			var cm vo.ChatModel

api/handler/dalle_handler.go

@@ -8,7 +8,6 @@ package handler
 // * +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
 import (
-	"fmt"
 	"geekai/core"
 	"geekai/core/types"
 	"geekai/service"
@@ -72,10 +71,21 @@ func (h *DallJobHandler) Image(c *gin.Context) {
 
 	idValue, _ := c.Get(types.LoginUserID)
 	userId := utils.IntValue(utils.InterfaceToString(idValue), 0)
+	task := types.DallTask{
+		ClientId:         data.ClientId,
+		UserId:           uint(userId),
+		Prompt:           data.Prompt,
+		Quality:          data.Quality,
+		Size:             data.Size,
+		Style:            data.Style,
+		Power:            h.App.SysConfig.DallPower,
+		TranslateModelId: h.App.SysConfig.TranslateModelId,
+	}
 	job := model.DallJob{
-		UserId: uint(userId),
-		Prompt: data.Prompt,
-		Power:  h.App.SysConfig.DallPower,
+		UserId:   uint(userId),
+		Prompt:   data.Prompt,
+		Power:    task.Power,
+		TaskInfo: utils.JsonEncode(task),
 	}
 	res := h.DB.Create(&job)
 	if res.Error != nil {
@@ -83,16 +93,8 @@ func (h *DallJobHandler) Image(c *gin.Context) {
 		return
 	}
 
-	h.dallService.PushTask(types.DallTask{
-		ClientId: data.ClientId,
-		JobId:    job.Id,
-		UserId:   uint(userId),
-		Prompt:   data.Prompt,
-		Quality:  data.Quality,
-		Size:     data.Size,
-		Style:    data.Style,
-		Power:    job.Power,
-	})
+	task.Id = job.Id
+	h.dallService.PushTask(task)
 	resp.SUCCESS(c)
 }
 
@@ -179,25 +181,14 @@ func (h *DallJobHandler) Remove(c *gin.Context) {
 	}
 
 	// 删除任务
-	tx := h.DB.Begin()
-	tx.Delete(&job)
-	// 如果任务未完成，或者任务失败，则恢复用户算力
-	if job.Progress != 100 {
-		err := h.userService.IncreasePower(int(job.UserId), job.Power, model.PowerLog{
-			Type:   types.PowerRefund,
-			Model:  "dall-e-3",
-			Remark: fmt.Sprintf("任务失败，退回算力。任务ID：%d，Err: %s", job.Id, job.ErrMsg),
-		})
-		if err != nil {
-			tx.Rollback()
-			resp.ERROR(c, err.Error())
-			return
-		}
+	err := h.DB.Delete(&job).Error
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
 	}
-	tx.Commit()
 
 	// remove image
-	err := h.uploader.GetUploadHandler().Delete(job.ImgURL)
+	err = h.uploader.GetUploadHandler().Delete(job.ImgURL)
 	if err != nil {
 		logger.Error("remove image failed: ", err)
 	}

api/handler/function_handler.go

@@ -113,10 +113,13 @@ func (h *FunctionHandler) WeiBo(c *gin.Context) {
 		SetHeader("AppId", h.config.AppId).
 		SetHeader("Authorization", fmt.Sprintf("Bearer %s", h.config.Token)).
 		SetSuccessResult(&res).Get(url)
-	if err != nil || r.IsErrorState() {
-		resp.ERROR(c, fmt.Sprintf("%v%v", err, r.Err))
+	if err != nil {
+		resp.ERROR(c, fmt.Sprintf("%v", err))
 		return
 	}
+	if r.IsErrorState() {
+		resp.ERROR(c, fmt.Sprintf("error http code status: %v", r.Status))
+	}
 
 	if res.Code != types.Success {
 		resp.ERROR(c, res.Message)
@@ -209,7 +212,7 @@ func (h *FunctionHandler) Dall3(c *gin.Context) {
 	}
 
 	content, err := h.dallService.Image(types.DallTask{
-		JobId:   job.Id,
+		Id:      job.Id,
 		UserId:  user.Id,
 		Prompt:  job.Prompt,
 		N:       1,

api/handler/markmap_handler.go

@@ -87,7 +87,7 @@ func (h *MarkMapHandler) Generate(c *gin.Context) {
 请直接生成结果，不要任何解释性语句。
 `})
 	messages = append(messages, types.Message{Role: "user", Content: fmt.Sprintf("请生成一份有关【%s】一份思维导图，要求结构清晰，有条理", data.Prompt)})
-	content, err := utils.SendOpenAIMessage(h.DB, messages, chatModel.Value, chatModel.KeyId)
+	content, err := utils.SendOpenAIMessage(h.DB, messages, data.ModelId)
 	if err != nil {
 		resp.ERROR(c, fmt.Sprintf("请求 OpenAI API 失败: %s", err))
 		return

api/handler/mj_handler.go

@@ -152,10 +152,23 @@ func (h *MidJourneyHandler) Image(c *gin.Context) {
 		resp.ERROR(c, "error with generate task id: "+err.Error())
 		return
 	}
+	task := types.MjTask{
+		ClientId:         data.ClientId,
+		TaskId:           taskId,
+		Type:             types.TaskType(data.TaskType),
+		Prompt:           data.Prompt,
+		NegPrompt:        data.NegPrompt,
+		Params:           params,
+		UserId:           userId,
+		ImgArr:           data.ImgArr,
+		Mode:             h.App.SysConfig.MjMode,
+		TranslateModelId: h.App.SysConfig.TranslateModelId,
+	}
 	job := model.MidJourneyJob{
 		Type:      data.TaskType,
 		UserId:    userId,
 		TaskId:    taskId,
+		TaskInfo:  utils.JsonEncode(task),
 		Progress:  0,
 		Prompt:    fmt.Sprintf("%s %s", data.Prompt, params),
 		Power:     h.App.SysConfig.MjPower,
@@ -175,18 +188,8 @@ func (h *MidJourneyHandler) Image(c *gin.Context) {
 		return
 	}
 
-	h.mjService.PushTask(types.MjTask{
-		Id:        job.Id,
-		ClientId:  data.ClientId,
-		TaskId:    taskId,
-		Type:      types.TaskType(data.TaskType),
-		Prompt:    data.Prompt,
-		NegPrompt: data.NegPrompt,
-		Params:    params,
-		UserId:    userId,
-		ImgArr:    data.ImgArr,
-		Mode:      h.App.SysConfig.MjMode,
-	})
+	task.Id = job.Id
+	h.mjService.PushTask(task)
 
 	// update user's power
 	err = h.userService.DecreasePower(job.UserId, job.Power, model.PowerLog{
@@ -225,22 +228,7 @@ func (h *MidJourneyHandler) Upscale(c *gin.Context) {
 	idValue, _ := c.Get(types.LoginUserID)
 	userId := utils.IntValue(utils.InterfaceToString(idValue), 0)
 	taskId, _ := h.snowflake.Next(true)
-	job := model.MidJourneyJob{
-		Type:        types.TaskUpscale.String(),
-		ReferenceId: data.MessageId,
-		UserId:      userId,
-		TaskId:      taskId,
-		Progress:    0,
-		Power:       h.App.SysConfig.MjActionPower,
-		CreatedAt:   time.Now(),
-	}
-	if res := h.DB.Create(&job); res.Error != nil || res.RowsAffected == 0 {
-		resp.ERROR(c, "添加任务失败："+res.Error.Error())
-		return
-	}
-
-	h.mjService.PushTask(types.MjTask{
-		Id:          job.Id,
+	task := types.MjTask{
 		ClientId:    data.ClientId,
 		Type:        types.TaskUpscale,
 		UserId:      userId,
@@ -249,7 +237,23 @@ func (h *MidJourneyHandler) Upscale(c *gin.Context) {
 		MessageId:   data.MessageId,
 		MessageHash: data.MessageHash,
 		Mode:        h.App.SysConfig.MjMode,
-	})
+	}
+	job := model.MidJourneyJob{
+		Type:      types.TaskUpscale.String(),
+		UserId:    userId,
+		TaskId:    taskId,
+		TaskInfo:  utils.JsonEncode(task),
+		Progress:  0,
+		Power:     h.App.SysConfig.MjActionPower,
+		CreatedAt: time.Now(),
+	}
+	if res := h.DB.Create(&job); res.Error != nil || res.RowsAffected == 0 {
+		resp.ERROR(c, "添加任务失败："+res.Error.Error())
+		return
+	}
+
+	task.Id = job.Id
+	h.mjService.PushTask(task)
 
 	// update user's power
 	err := h.userService.DecreasePower(job.UserId, job.Power, model.PowerLog{
@@ -280,23 +284,7 @@ func (h *MidJourneyHandler) Variation(c *gin.Context) {
 	idValue, _ := c.Get(types.LoginUserID)
 	userId := utils.IntValue(utils.InterfaceToString(idValue), 0)
 	taskId, _ := h.snowflake.Next(true)
-	job := model.MidJourneyJob{
-		Type:        types.TaskVariation.String(),
-		ChannelId:   data.ChannelId,
-		ReferenceId: data.MessageId,
-		UserId:      userId,
-		TaskId:      taskId,
-		Progress:    0,
-		Power:       h.App.SysConfig.MjActionPower,
-		CreatedAt:   time.Now(),
-	}
-	if res := h.DB.Create(&job); res.Error != nil || res.RowsAffected == 0 {
-		resp.ERROR(c, "添加任务失败："+res.Error.Error())
-		return
-	}
-
-	h.mjService.PushTask(types.MjTask{
-		Id:          job.Id,
+	task := types.MjTask{
 		Type:        types.TaskVariation,
 		ClientId:    data.ClientId,
 		UserId:      userId,
@@ -305,7 +293,24 @@ func (h *MidJourneyHandler) Variation(c *gin.Context) {
 		MessageId:   data.MessageId,
 		MessageHash: data.MessageHash,
 		Mode:        h.App.SysConfig.MjMode,
-	})
+	}
+	job := model.MidJourneyJob{
+		Type:      types.TaskVariation.String(),
+		ChannelId: data.ChannelId,
+		UserId:    userId,
+		TaskId:    taskId,
+		TaskInfo:  utils.JsonEncode(task),
+		Progress:  0,
+		Power:     h.App.SysConfig.MjActionPower,
+		CreatedAt: time.Now(),
+	}
+	if res := h.DB.Create(&job); res.Error != nil || res.RowsAffected == 0 {
+		resp.ERROR(c, "添加任务失败："+res.Error.Error())
+		return
+	}
+
+	task.Id = job.Id
+	h.mjService.PushTask(task)
 
 	err := h.userService.DecreasePower(job.UserId, job.Power, model.PowerLog{
 		Type:   types.PowerConsume,
@@ -401,26 +406,15 @@ func (h *MidJourneyHandler) Remove(c *gin.Context) {
 		return
 	}
 
-	// remove job recode
-	tx := h.DB.Begin()
-	tx.Delete(&job)
-	// 如果任务未完成，或者任务失败，则恢复用户算力
-	if job.Progress != 100 {
-		err := h.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
-			Type:   types.PowerRefund,
-			Model:  "mid-journey",
-			Remark: fmt.Sprintf("任务失败，退回算力。任务ID：%d，Err: %s", job.Id, job.ErrMsg),
-		})
-		if err != nil {
-			tx.Rollback()
-			resp.ERROR(c, err.Error())
-			return
-		}
+	// remove job
+	err := h.DB.Delete(&job).Error
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
 	}
-	tx.Commit()
 
 	// remove image
-	err := h.uploader.GetUploadHandler().Delete(job.ImgURL)
+	err = h.uploader.GetUploadHandler().Delete(job.ImgURL)
 	if err != nil {
 		logger.Error("remove image failed: ", err)
 	}

api/handler/openai_handler.go

@@ -51,7 +51,6 @@ type OpenAIResVo struct {
 
 // OPenAI 消息发送实现
 func (h *ChatHandler) sendOpenAiMessage(
-	chatCtx []types.Message,
 	req types.ApiRequest,
 	userVo vo.User,
 	ctx context.Context,
@@ -201,7 +200,7 @@ func (h *ChatHandler) sendOpenAiMessage(
 				TotalTokens:      0,
 			}
 			message.Content = usage.Content
-			h.saveChatHistory(req, usage, message, chatCtx, session, role, userVo, promptCreatedAt, replyCreatedAt)
+			h.saveChatHistory(req, usage, message, session, role, userVo, promptCreatedAt, replyCreatedAt)
 		}
 	} else { // 非流式输出
 		var respVo OpenAIResVo
@@ -220,7 +219,7 @@ func (h *ChatHandler) sendOpenAiMessage(
 		utils.SendChunkMsg(ws, content)
 		respVo.Usage.Prompt = prompt
 		respVo.Usage.Content = content
-		h.saveChatHistory(req, respVo.Usage, respVo.Choices[0].Message, chatCtx, session, role, userVo, promptCreatedAt, time.Now())
+		h.saveChatHistory(req, respVo.Usage, respVo.Choices[0].Message, session, role, userVo, promptCreatedAt, time.Now())
 	}
 
 	return nil

api/handler/prompt_handler.go

@@ -0,0 +1,123 @@
+package handler
+
+// * +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+// * Copyright 2023 The Geek-AI Authors. All rights reserved.
+// * Use of this source code is governed by a Apache-2.0 license
+// * that can be found in the LICENSE file.
+// * @Author yangjian102621@163.com
+// * +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+import (
+	"fmt"
+	"geekai/core"
+	"geekai/core/types"
+	"geekai/service"
+	"geekai/service/oss"
+	"geekai/service/suno"
+	"geekai/utils"
+	"geekai/utils/resp"
+	"github.com/gin-gonic/gin"
+	"gorm.io/gorm"
+	"strings"
+)
+
+// 提示词生成 handler
+// 使用 AI 生成绘画指令，歌词，视频生成指令等
+
+type PromptHandler struct {
+	BaseHandler
+	sunoService *suno.Service
+	uploader    *oss.UploaderManager
+	userService *service.UserService
+}
+
+func NewPromptHandler(app *core.AppServer, db *gorm.DB, userService *service.UserService) *PromptHandler {
+	return &PromptHandler{
+		BaseHandler: BaseHandler{
+			App: app,
+			DB:  db,
+		},
+		userService: userService,
+	}
+}
+
+// Lyric 生成歌词
+func (h *PromptHandler) Lyric(c *gin.Context) {
+	var data struct {
+		Prompt string `json:"prompt"`
+	}
+	if err := c.ShouldBindJSON(&data); err != nil {
+		resp.ERROR(c, types.InvalidArgs)
+		return
+	}
+	content, err := utils.OpenAIRequest(h.DB, fmt.Sprintf(service.LyricPromptTemplate, data.Prompt), h.App.SysConfig.TranslateModelId)
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+
+	resp.SUCCESS(c, content)
+}
+
+// Image 生成 AI 绘画提示词
+func (h *PromptHandler) Image(c *gin.Context) {
+	var data struct {
+		Prompt string `json:"prompt"`
+	}
+	if err := c.ShouldBindJSON(&data); err != nil {
+		resp.ERROR(c, types.InvalidArgs)
+		return
+	}
+	content, err := utils.OpenAIRequest(h.DB, fmt.Sprintf(service.ImagePromptOptimizeTemplate, data.Prompt), h.App.SysConfig.TranslateModelId)
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+
+	resp.SUCCESS(c, strings.Trim(content, `"`))
+}
+
+// Video 生成视频提示词
+func (h *PromptHandler) Video(c *gin.Context) {
+	var data struct {
+		Prompt string `json:"prompt"`
+	}
+	if err := c.ShouldBindJSON(&data); err != nil {
+		resp.ERROR(c, types.InvalidArgs)
+		return
+	}
+	content, err := utils.OpenAIRequest(h.DB, fmt.Sprintf(service.VideoPromptTemplate, data.Prompt), h.App.SysConfig.TranslateModelId)
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+
+	resp.SUCCESS(c, strings.Trim(content, `"`))
+}
+
+// MetaPrompt 生成元提示词
+func (h *PromptHandler) MetaPrompt(c *gin.Context) {
+	var data struct {
+		Prompt string `json:"prompt"`
+	}
+	if err := c.ShouldBindJSON(&data); err != nil {
+		resp.ERROR(c, types.InvalidArgs)
+		return
+	}
+	messages := make([]interface{}, 0)
+	messages = append(messages, types.Message{
+		Role:    "system",
+		Content: service.MetaPromptTemplate,
+	})
+	messages = append(messages, types.Message{
+		Role:    "user",
+		Content: "Task, Goal, or the Role to actor is:\n" + data.Prompt,
+	})
+	content, err := utils.SendOpenAIMessage(h.DB, messages, 0)
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
+	}
+
+	resp.SUCCESS(c, strings.Trim(content, `"`))
+}

api/handler/sd_handler.go

@@ -109,29 +109,37 @@ func (h *SdJobHandler) Image(c *gin.Context) {
 		resp.ERROR(c, "error with generate task id: "+err.Error())
 		return
 	}
-	params := types.SdTaskParams{
-		TaskId:       taskId,
-		Prompt:       data.Prompt,
-		NegPrompt:    data.NegPrompt,
-		Steps:        data.Steps,
-		Sampler:      data.Sampler,
-		FaceFix:      data.FaceFix,
-		CfgScale:     data.CfgScale,
-		Seed:         data.Seed,
-		Height:       data.Height,
-		Width:        data.Width,
-		HdFix:        data.HdFix,
-		HdRedrawRate: data.HdRedrawRate,
-		HdScale:      data.HdScale,
-		HdScaleAlg:   data.HdScaleAlg,
-		HdSteps:      data.HdSteps,
+
+	task := types.SdTask{
+		ClientId: data.ClientId,
+		Type:     types.TaskImage,
+		Params: types.SdTaskParams{
+			TaskId:       taskId,
+			Prompt:       data.Prompt,
+			NegPrompt:    data.NegPrompt,
+			Steps:        data.Steps,
+			Sampler:      data.Sampler,
+			FaceFix:      data.FaceFix,
+			CfgScale:     data.CfgScale,
+			Seed:         data.Seed,
+			Height:       data.Height,
+			Width:        data.Width,
+			HdFix:        data.HdFix,
+			HdRedrawRate: data.HdRedrawRate,
+			HdScale:      data.HdScale,
+			HdScaleAlg:   data.HdScaleAlg,
+			HdSteps:      data.HdSteps,
+		},
+		UserId:           userId,
+		TranslateModelId: h.App.SysConfig.TranslateModelId,
 	}
 
 	job := model.SdJob{
 		UserId:    userId,
 		Type:      types.TaskImage.String(),
-		TaskId:    params.TaskId,
-		Params:    utils.JsonEncode(params),
+		TaskId:    taskId,
+		Params:    utils.JsonEncode(task.Params),
+		TaskInfo:  utils.JsonEncode(task),
 		Prompt:    data.Prompt,
 		Progress:  0,
 		Power:     h.App.SysConfig.SdPower,
@@ -143,13 +151,8 @@ func (h *SdJobHandler) Image(c *gin.Context) {
 		return
 	}
 
-	h.sdService.PushTask(types.SdTask{
-		Id:       int(job.Id),
-		ClientId: data.ClientId,
-		Type:     types.TaskImage,
-		Params:   params,
-		UserId:   userId,
-	})
+	task.Id = int(job.Id)
+	h.sdService.PushTask(task)
 
 	// update user's power
 	err = h.userService.DecreasePower(job.UserId, job.Power, model.PowerLog{
@@ -249,25 +252,14 @@ func (h *SdJobHandler) Remove(c *gin.Context) {
 	}
 
 	// 删除任务
-	tx := h.DB.Begin()
-	tx.Delete(&job)
-	// 如果任务未完成，或者任务失败，则恢复用户算力
-	if job.Progress != 100 {
-		err := h.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
-			Type:   types.PowerRefund,
-			Model:  "stable-diffusion",
-			Remark: fmt.Sprintf("任务失败，退回算力。任务ID：%d， Err: %s", job.Id, job.ErrMsg),
-		})
-		if err != nil {
-			tx.Rollback()
-			resp.ERROR(c, err.Error())
-			return
-		}
+	err := h.DB.Delete(&job).Error
+	if err != nil {
+		resp.ERROR(c, err.Error())
+		return
 	}
-	tx.Commit()
 
 	// remove image
-	err := h.uploader.GetUploadHandler().Delete(job.ImgURL)
+	err = h.uploader.GetUploadHandler().Delete(job.ImgURL)
 	if err != nil {
 		logger.Error("remove image failed: ", err)
 	}

api/handler/suno_handler.go

@@ -89,13 +89,29 @@ func (h *SunoHandler) Create(c *gin.Context) {
 			data.Prompt = fmt.Sprintf("%s\n%s", song.Prompt, refSong.Prompt)
 		}
 	}
+	task := types.SunoTask{
+		ClientId:     data.ClientId,
+		UserId:       int(h.GetLoginUserId(c)),
+		Type:         data.Type,
+		Title:        data.Title,
+		RefTaskId:    data.RefTaskId,
+		RefSongId:    data.RefSongId,
+		ExtendSecs:   data.ExtendSecs,
+		Prompt:       data.Prompt,
+		Tags:         data.Tags,
+		Model:        data.Model,
+		Instrumental: data.Instrumental,
+		SongId:       data.SongId,
+		AudioURL:     data.AudioURL,
+	}
 
 	// 插入数据库
 	job := model.SunoJob{
-		UserId:       int(h.GetLoginUserId(c)),
+		UserId:       task.UserId,
 		Prompt:       data.Prompt,
 		Instrumental: data.Instrumental,
 		ModelName:    data.Model,
+		TaskInfo:     utils.JsonEncode(task),
 		Tags:         data.Tags,
 		Title:        data.Title,
 		Type:         data.Type,
@@ -115,26 +131,13 @@ func (h *SunoHandler) Create(c *gin.Context) {
 	}
 
 	// 创建任务
-	h.sunoService.PushTask(types.SunoTask{
-		ClientId:     data.ClientId,
-		Id:           job.Id,
-		UserId:       job.UserId,
-		Type:         job.Type,
-		Title:        job.Title,
-		RefTaskId:    data.RefTaskId,
-		RefSongId:    data.RefSongId,
-		ExtendSecs:   data.ExtendSecs,
-		Prompt:       job.Prompt,
-		Tags:         data.Tags,
-		Model:        data.Model,
-		Instrumental: data.Instrumental,
-		SongId:       data.SongId,
-		AudioURL:     data.AudioURL,
-	})
+	task.Id = job.Id
+	h.sunoService.PushTask(task)
 
 	// update user's power
 	err = h.userService.DecreasePower(job.UserId, job.Power, model.PowerLog{
 		Type:      types.PowerConsume,
+		Model:     job.ModelName,
 		Remark:    fmt.Sprintf("Suno 文生歌曲，%s", job.ModelName),
 		CreatedAt: time.Now(),
 	})
@@ -219,25 +222,11 @@ func (h *SunoHandler) Remove(c *gin.Context) {
 	}
 
 	// 删除任务
-	tx := h.DB.Begin()
-	if err := tx.Delete(&job).Error; err != nil {
-		tx.Rollback()
-		resp.ERROR(c, err.Error())
-		return
-	}
-
-	// 恢复用户算力
-	err = h.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
-		Type:   types.PowerRefund,
-		Model:  job.ModelName,
-		Remark: fmt.Sprintf("Suno 任务失败，退回算力。任务ID：%s，Err:%s", job.TaskId, job.ErrMsg),
-	})
+	err = h.DB.Delete(&job).Error
 	if err != nil {
-		tx.Rollback()
 		resp.ERROR(c, err.Error())
 		return
 	}
-	tx.Commit()
 
 	// 删除文件
 	_ = h.uploader.GetUploadHandler().Delete(job.CoverURL)
@@ -334,40 +323,3 @@ func (h *SunoHandler) Play(c *gin.Context) {
 	}
 	h.DB.Model(&model.SunoJob{}).Where("song_id", songId).UpdateColumn("play_times", gorm.Expr("play_times + ?", 1))
 }
-
-const genLyricTemplate = `
-你是一位才华横溢的作曲家，拥有丰富的情感和细腻的笔触，你对文字有着独特的感悟力，能将各种情感和意境巧妙地融入歌词中。
-请以【%s】为主题创作一首歌曲，歌曲时间不要太短，3分钟左右，不要输出任何解释性的内容。
-输出格式如下：
-歌曲名称
-第一节：
-{{歌词内容}}
-副歌：
-{{歌词内容}}
-
-第二节：
-{{歌词内容}}
-副歌：
-{{歌词内容}}
-
-尾声：
-{{歌词内容}}
-`
-
-// Lyric 生成歌词
-func (h *SunoHandler) Lyric(c *gin.Context) {
-	var data struct {
-		Prompt string `json:"prompt"`
-	}
-	if err := c.ShouldBindJSON(&data); err != nil {
-		resp.ERROR(c, types.InvalidArgs)
-		return
-	}
-	content, err := utils.OpenAIRequest(h.DB, fmt.Sprintf(genLyricTemplate, data.Prompt), "gpt-4o-mini", 0)
-	if err != nil {
-		resp.ERROR(c, err.Error())
-		return
-	}
-
-	resp.SUCCESS(c, content)
-}

api/handler/user_handler.go

@@ -130,15 +130,28 @@ func (h *UserHandler) Register(c *gin.Context) {
 		}
 	}
 
+	salt := utils.RandString(8)
+	user := model.User{
+		Username:  data.Username,
+		Password:  utils.GenPassword(data.Password, salt),
+		Avatar:    "/images/avatar/user.png",
+		Salt:      salt,
+		Status:    true,
+		ChatRoles: utils.JsonEncode([]string{"gpt"}), // 默认只订阅通用助手角色
+		Power:     h.App.SysConfig.InitPower,
+	}
+
 	// check if the username is existing
 	var item model.User
 	session := h.DB.Session(&gorm.Session{})
 	if data.Mobile != "" {
 		session = session.Where("mobile = ?", data.Mobile)
-		data.Username = data.Mobile
+		user.Username = data.Mobile
+		user.Mobile = data.Mobile
 	} else if data.Email != "" {
 		session = session.Where("email = ?", data.Email)
-		data.Username = data.Email
+		user.Username = data.Email
+		user.Email = data.Email
 	} else if data.Username != "" {
 		session = session.Where("username = ?", data.Username)
 	}
@@ -148,20 +161,6 @@ func (h *UserHandler) Register(c *gin.Context) {
 		return
 	}
 
-	salt := utils.RandString(8)
-	user := model.User{
-		Username:   data.Username,
-		Mobile:     data.Mobile,
-		Email:      data.Email,
-		Password:   utils.GenPassword(data.Password, salt),
-		Avatar:     "/images/avatar/user.png",
-		Salt:       salt,
-		Status:     true,
-		ChatRoles:  utils.JsonEncode([]string{"gpt"}),               // 默认只订阅通用助手角色
-		ChatModels: utils.JsonEncode(h.App.SysConfig.DefaultModels), // 默认开通的模型
-		Power:      h.App.SysConfig.InitPower,
-	}
-
 	// 被邀请人也获得赠送算力
 	if data.InviteCode != "" {
 		user.Power += h.App.SysConfig.InvitePower
@@ -417,16 +416,15 @@ func (h *UserHandler) CLoginCallback(c *gin.Context) {
 		salt := utils.RandString(8)
 		password := fmt.Sprintf("%d", utils.RandomNumber(8))
 		user = model.User{
-			Username:   fmt.Sprintf("%s@%d", loginType, utils.RandomNumber(10)),
-			Password:   utils.GenPassword(password, salt),
-			Avatar:     fmt.Sprintf("%s", data["avatar"]),
-			Salt:       salt,
-			Status:     true,
-			ChatRoles:  utils.JsonEncode([]string{"gpt"}),               // 默认只订阅通用助手角色
-			ChatModels: utils.JsonEncode(h.App.SysConfig.DefaultModels), // 默认开通的模型
-			Power:      h.App.SysConfig.InitPower,
-			OpenId:     fmt.Sprintf("%s", data["openid"]),
-			Nickname:   fmt.Sprintf("%s", data["nickname"]),
+			Username:  fmt.Sprintf("%s@%d", loginType, utils.RandomNumber(10)),
+			Password:  utils.GenPassword(password, salt),
+			Avatar:    fmt.Sprintf("%s", data["avatar"]),
+			Salt:      salt,
+			Status:    true,
+			ChatRoles: utils.JsonEncode([]string{"gpt"}), // 默认只订阅通用助手角色
+			Power:     h.App.SysConfig.InitPower,
+			OpenId:    fmt.Sprintf("%s", data["openid"]),
+			Nickname:  fmt.Sprintf("%s", data["nickname"]),
 		}
 
 		tx = h.DB.Create(&user)

api/handler/video_handler.go

@@ -80,13 +80,21 @@ func (h *VideoHandler) LumaCreate(c *gin.Context) {
 		StartImgURL:    data.FirstFrameImg,
 		EndImgURL:      data.EndFrameImg,
 	}
+	task := types.VideoTask{
+		ClientId:         data.ClientId,
+		UserId:           userId,
+		Type:             types.VideoLuma,
+		Prompt:           data.Prompt,
+		Params:           params,
+		TranslateModelId: h.App.SysConfig.TranslateModelId,
+	}
 	// 插入数据库
 	job := model.VideoJob{
-		UserId: userId,
-		Type:   types.VideoLuma,
-		Prompt: data.Prompt,
-		Power:  h.App.SysConfig.LumaPower,
-		Params: utils.JsonEncode(params),
+		UserId:   userId,
+		Type:     types.VideoLuma,
+		Prompt:   data.Prompt,
+		Power:    h.App.SysConfig.LumaPower,
+		TaskInfo: utils.JsonEncode(task),
 	}
 	tx := h.DB.Create(&job)
 	if tx.Error != nil {
@@ -95,14 +103,8 @@ func (h *VideoHandler) LumaCreate(c *gin.Context) {
 	}
 
 	// 创建任务
-	h.videoService.PushTask(types.VideoTask{
-		ClientId: data.ClientId,
-		Id:       job.Id,
-		UserId:   userId,
-		Type:     types.VideoLuma,
-		Prompt:   data.Prompt,
-		Params:   params,
-	})
+	task.Id = job.Id
+	h.videoService.PushTask(task)
 
 	// update user's power
 	err = h.userService.DecreasePower(job.UserId, job.Power, model.PowerLog{
@@ -181,25 +183,11 @@ func (h *VideoHandler) Remove(c *gin.Context) {
 	}
 
 	// 删除任务
-	tx := h.DB.Begin()
-	if err := tx.Delete(&job).Error; err != nil {
-		tx.Rollback()
-		resp.ERROR(c, err.Error())
-		return
-	}
-
-	// 恢复算力
-	err = h.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
-		Type:   types.PowerRefund,
-		Model:  "luma",
-		Remark: fmt.Sprintf("Luma 任务失败，退回算力。任务ID：%s，Err:%s", job.TaskId, job.ErrMsg),
-	})
+	err = h.DB.Delete(&job).Error
 	if err != nil {
-		tx.Rollback()
 		resp.ERROR(c, err.Error())
 		return
 	}
-	tx.Commit()
 
 	// 删除文件
 	_ = h.uploader.GetUploadHandler().Delete(job.CoverURL)

api/main.go

@@ -173,7 +173,7 @@ func main() {
 		// License 服务
 		fx.Provide(service.NewLicenseService),
 		fx.Invoke(func(licenseService *service.LicenseService) {
-			licenseService.SyncLicense()
+			// licenseService.SyncLicense()
 		}),
 
 		// MidJourney service pool
@@ -350,6 +350,7 @@ func main() {
 			group.POST("create", h.Create)
 			group.POST("set", h.Set)
 			group.GET("remove", h.Remove)
+			group.POST("export", h.Export)
 		}),
 		fx.Invoke(func(s *core.AppServer, h *admin.DashboardHandler) {
 			group := s.Engine.Group("/api/admin/dashboard/")
@@ -484,7 +485,6 @@ func main() {
 			group.POST("update", h.Update)
 			group.GET("detail", h.Detail)
 			group.GET("play", h.Play)
-			group.POST("lyric", h.Lyric)
 		}),
 		fx.Provide(handler.NewVideoHandler),
 		fx.Invoke(func(s *core.AppServer, h *handler.VideoHandler) {
@@ -518,6 +518,14 @@ func main() {
 		fx.Invoke(func(s *core.AppServer, h *handler.WebsocketHandler) {
 			s.Engine.Any("/api/ws", h.Client)
 		}),
+		fx.Provide(handler.NewPromptHandler),
+		fx.Invoke(func(s *core.AppServer, h *handler.PromptHandler) {
+			group := s.Engine.Group("/api/prompt")
+			group.POST("/lyric", h.Lyric)
+			group.POST("/image", h.Image)
+			group.POST("/video", h.Video)
+			group.POST("/meta", h.MetaPrompt)
+		}),
 		fx.Invoke(func(s *core.AppServer, db *gorm.DB) {
 			go func() {
 				err := s.Run(db)

api/service/dalle/service.go

@@ -59,6 +59,20 @@ func (s *Service) PushTask(task types.DallTask) {
 }
 
 func (s *Service) Run() {
+	// 将数据库中未提交的人物加载到队列
+	var jobs []model.DallJob
+	s.db.Where("progress", 0).Find(&jobs)
+	for _, v := range jobs {
+		var task types.DallTask
+		err := utils.JsonDecode(v.TaskInfo, &task)
+		if err != nil {
+			logger.Errorf("decode task info with error: %v", err)
+			continue
+		}
+		task.Id = v.Id
+		s.PushTask(task)
+	}
+
 	logger.Info("Starting DALL-E job consumer...")
 	go func() {
 		for {
@@ -69,15 +83,15 @@ func (s *Service) Run() {
 				continue
 			}
 			logger.Infof("handle a new DALL-E task: %+v", task)
-			s.clientIds[task.JobId] = task.ClientId
+			s.clientIds[task.Id] = task.ClientId
 			_, err = s.Image(task, false)
 			if err != nil {
 				logger.Errorf("error with image task: %v", err)
-				s.db.Model(&model.DallJob{Id: task.JobId}).UpdateColumns(map[string]interface{}{
+				s.db.Model(&model.DallJob{Id: task.Id}).UpdateColumns(map[string]interface{}{
 					"progress": service.FailTaskProgress,
 					"err_msg":  err.Error(),
 				})
-				s.notifyQueue.RPush(service.NotifyMessage{ClientId: task.ClientId, UserId: int(task.UserId), JobId: int(task.JobId), Message: service.TaskStatusFailed})
+				s.notifyQueue.RPush(service.NotifyMessage{ClientId: task.ClientId, UserId: int(task.UserId), JobId: int(task.Id), Message: service.TaskStatusFailed})
 			}
 		}
 	}()
@@ -114,7 +128,7 @@ func (s *Service) Image(task types.DallTask, sync bool) (string, error) {
 	prompt := task.Prompt
 	// translate prompt
 	if utils.HasChinese(prompt) {
-		content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.RewritePromptTemplate, prompt), "gpt-4o-mini", 0)
+		content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, prompt), task.TranslateModelId)
 		if err == nil {
 			prompt = content
 			logger.Debugf("重写后提示词：%s", prompt)
@@ -177,7 +191,7 @@ func (s *Service) Image(task types.DallTask, sync bool) (string, error) {
 	// update the api key last use time
 	s.db.Model(&apiKey).UpdateColumn("last_used_at", time.Now().Unix())
 	// update task progress
-	err = s.db.Model(&model.DallJob{Id: task.JobId}).UpdateColumns(map[string]interface{}{
+	err = s.db.Model(&model.DallJob{Id: task.Id}).UpdateColumns(map[string]interface{}{
 		"progress": 100,
 		"org_url":  res.Data[0].Url,
 		"prompt":   prompt,
@@ -186,10 +200,10 @@ func (s *Service) Image(task types.DallTask, sync bool) (string, error) {
 		return "", fmt.Errorf("err with update database: %v", err)
 	}
 
-	s.notifyQueue.RPush(service.NotifyMessage{ClientId: task.ClientId, UserId: int(task.UserId), JobId: int(task.JobId), Message: service.TaskStatusFailed})
+	s.notifyQueue.RPush(service.NotifyMessage{ClientId: task.ClientId, UserId: int(task.UserId), JobId: int(task.Id), Message: service.TaskStatusFailed})
 	var content string
 	if sync {
-		imgURL, err := s.downloadImage(task.JobId, int(task.UserId), res.Data[0].Url)
+		imgURL, err := s.downloadImage(task.Id, int(task.UserId), res.Data[0].Url)
 		if err != nil {
 			return "", fmt.Errorf("error with download image: %v", err)
 		}
@@ -223,13 +237,9 @@ func (s *Service) CheckTaskStatus() {
 	go func() {
 		logger.Info("Running DALL-E task status checking ...")
 		for {
+			// 检查未完成任务进度
 			var jobs []model.DallJob
-			res := s.db.Where("progress < ?", 100).Find(&jobs)
-			if res.Error != nil {
-				time.Sleep(5 * time.Second)
-				continue
-			}
-
+			s.db.Where("progress < ?", 100).Find(&jobs)
 			for _, job := range jobs {
 				// 超时的任务标记为失败
 				if time.Now().Sub(job.CreatedAt) > time.Minute*10 {
@@ -238,6 +248,21 @@ func (s *Service) CheckTaskStatus() {
 					s.db.Updates(&job)
 				}
 			}
+
+			// 找出失败的任务，并恢复其扣减算力
+			s.db.Where("progress", service.FailTaskProgress).Where("power > ?", 0).Find(&jobs)
+			for _, job := range jobs {
+				err := s.userService.IncreasePower(int(job.UserId), job.Power, model.PowerLog{
+					Type:   types.PowerRefund,
+					Model:  "dall-e-3",
+					Remark: fmt.Sprintf("任务失败，退回算力。任务ID：%d，Err: %s", job.Id, job.ErrMsg),
+				})
+				if err != nil {
+					continue
+				}
+				// 更新任务状态
+				s.db.Model(&job).UpdateColumn("power", 0)
+			}
 			time.Sleep(time.Second * 10)
 		}
 	}()

api/service/mj/service.go

@@ -30,10 +30,11 @@ type Service struct {
 	db              *gorm.DB
 	wsService       *service.WebsocketService
 	uploaderManager *oss.UploaderManager
+	userService     *service.UserService
 	clientIds       map[uint]string
 }
 
-func NewService(redisCli *redis.Client, db *gorm.DB, client *Client, manager *oss.UploaderManager, wsService *service.WebsocketService) *Service {
+func NewService(redisCli *redis.Client, db *gorm.DB, client *Client, manager *oss.UploaderManager, wsService *service.WebsocketService, userService *service.UserService) *Service {
 	return &Service{
 		db:              db,
 		taskQueue:       store.NewRedisQueue("MidJourney_Task_Queue", redisCli),
@@ -42,10 +43,26 @@ func NewService(redisCli *redis.Client, db *gorm.DB, client *Client, manager *os
 		wsService:       wsService,
 		uploaderManager: manager,
 		clientIds:       map[uint]string{},
+		userService:     userService,
 	}
 }
 
 func (s *Service) Run() {
+	// 将数据库中未提交的人物加载到队列
+	var jobs []model.MidJourneyJob
+	s.db.Where("task_id", "").Where("progress", 0).Find(&jobs)
+	for _, v := range jobs {
+		var task types.MjTask
+		err := utils.JsonDecode(v.TaskInfo, &task)
+		if err != nil {
+			logger.Errorf("decode task info with error: %v", err)
+			continue
+		}
+		task.Id = v.Id
+		s.clientIds[task.Id] = task.ClientId
+		s.PushTask(task)
+	}
+
 	logger.Info("Starting MidJourney job consumer for service")
 	go func() {
 		for {
@@ -58,7 +75,7 @@ func (s *Service) Run() {
 
 			// translate prompt
 			if utils.HasChinese(task.Prompt) {
-				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Prompt), "gpt-4o-mini", 0)
+				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Prompt), task.TranslateModelId)
 				if err == nil {
 					task.Prompt = content
 				} else {
@@ -67,7 +84,7 @@ func (s *Service) Run() {
 			}
 			// translate negative prompt
 			if task.NegPrompt != "" && utils.HasChinese(task.NegPrompt) {
-				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.NegPrompt), "gpt-4o-mini", 0)
+				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.NegPrompt), task.TranslateModelId)
 				if err == nil {
 					task.NegPrompt = content
 				} else {
@@ -279,7 +296,6 @@ func (s *Service) SyncTaskProgress() {
 				}
 				oldProgress := job.Progress
 				job.Progress = utils.IntValue(strings.Replace(task.Progress, "%", "", 1), 0)
-				job.Prompt = task.PromptEn
 				if task.ImageUrl != "" {
 					job.OrgURL = task.ImageUrl
 				}
@@ -303,6 +319,21 @@ func (s *Service) SyncTaskProgress() {
 				}
 			}
 
+			// 找出失败的任务，并恢复其扣减算力
+			s.db.Where("progress", service.FailTaskProgress).Where("power > ?", 0).Find(&jobs)
+			for _, job := range jobs {
+				err := s.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
+					Type:   types.PowerRefund,
+					Model:  "mid-journey",
+					Remark: fmt.Sprintf("任务失败，退回算力。任务ID：%d，Err: %s", job.Id, job.ErrMsg),
+				})
+				if err != nil {
+					continue
+				}
+				// 更新任务状态
+				s.db.Model(&job).UpdateColumn("power", 0)
+			}
+
 			time.Sleep(time.Second * 5)
 		}
 	}()

api/service/sd/service.go

@@ -34,9 +34,10 @@ type Service struct {
 	db            *gorm.DB
 	uploadManager *oss.UploaderManager
 	wsService     *service.WebsocketService
+	userService   *service.UserService
 }
 
-func NewService(db *gorm.DB, manager *oss.UploaderManager, levelDB *store.LevelDB, redisCli *redis.Client, wsService *service.WebsocketService) *Service {
+func NewService(db *gorm.DB, manager *oss.UploaderManager, levelDB *store.LevelDB, redisCli *redis.Client, wsService *service.WebsocketService, userService *service.UserService) *Service {
 	return &Service{
 		httpClient:    req.C(),
 		taskQueue:     store.NewRedisQueue("StableDiffusion_Task_Queue", redisCli),
@@ -44,10 +45,24 @@ func NewService(db *gorm.DB, manager *oss.UploaderManager, levelDB *store.LevelD
 		db:            db,
 		wsService:     wsService,
 		uploadManager: manager,
+		userService:   userService,
 	}
 }
 
 func (s *Service) Run() {
+	// 将数据库中未提交的人物加载到队列
+	var jobs []model.SdJob
+	s.db.Where("progress", 0).Find(&jobs)
+	for _, v := range jobs {
+		var task types.SdTask
+		err := utils.JsonDecode(v.TaskInfo, &task)
+		if err != nil {
+			logger.Errorf("decode task info with error: %v", err)
+			continue
+		}
+		task.Id = int(v.Id)
+		s.PushTask(task)
+	}
 	logger.Infof("Starting Stable-Diffusion job consumer")
 	go func() {
 		for {
@@ -60,7 +75,7 @@ func (s *Service) Run() {
 
 			// translate prompt
 			if utils.HasChinese(task.Params.Prompt) {
-				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.RewritePromptTemplate, task.Params.Prompt), "gpt-4o-mini", 0)
+				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Params.Prompt), task.TranslateModelId)
 				if err == nil {
 					task.Params.Prompt = content
 				} else {
@@ -70,7 +85,7 @@ func (s *Service) Run() {
 
 			// translate negative prompt
 			if task.Params.NegPrompt != "" && utils.HasChinese(task.Params.NegPrompt) {
-				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Params.NegPrompt), "gpt-4o-mini", 0)
+				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Params.NegPrompt), task.TranslateModelId)
 				if err == nil {
 					task.Params.NegPrompt = content
 				} else {
@@ -161,7 +176,7 @@ func (s *Service) Txt2Img(task types.SdTask) error {
 	}
 
 	apiURL := fmt.Sprintf("%s/sdapi/v1/txt2img", apiKey.ApiURL)
-	logger.Debugf("send image request to %s", apiURL)
+	logger.Infof("send image request to %s", apiURL)
 	// send a request to sd api endpoint
 	go func() {
 		response, err := s.httpClient.R().
@@ -288,6 +303,21 @@ func (s *Service) CheckTaskStatus() {
 					s.db.Updates(&job)
 				}
 			}
+
+			// 找出失败的任务，并恢复其扣减算力
+			s.db.Where("progress", service.FailTaskProgress).Where("power > ?", 0).Find(&jobs)
+			for _, job := range jobs {
+				err := s.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
+					Type:   types.PowerRefund,
+					Model:  "stable-diffusion",
+					Remark: fmt.Sprintf("任务失败，退回算力。任务ID：%d， Err: %s", job.Id, job.ErrMsg),
+				})
+				if err != nil {
+					continue
+				}
+				// 更新任务状态
+				s.db.Model(&job).UpdateColumn("power", 0)
+			}
 			time.Sleep(time.Second * 5)
 		}
 	}()

api/service/suno/service.go

@@ -36,9 +36,10 @@ type Service struct {
 	notifyQueue   *store.RedisQueue
 	wsService     *service.WebsocketService
 	clientIds     map[string]string
+	userService   *service.UserService
 }
 
-func NewService(db *gorm.DB, manager *oss.UploaderManager, redisCli *redis.Client, wsService *service.WebsocketService) *Service {
+func NewService(db *gorm.DB, manager *oss.UploaderManager, redisCli *redis.Client, wsService *service.WebsocketService, userService *service.UserService) *Service {
 	return &Service{
 		httpClient:    req.C().SetTimeout(time.Minute * 3),
 		db:            db,
@@ -47,6 +48,7 @@ func NewService(db *gorm.DB, manager *oss.UploaderManager, redisCli *redis.Clien
 		uploadManager: manager,
 		wsService:     wsService,
 		clientIds:     map[string]string{},
+		userService:   userService,
 	}
 }
 
@@ -58,22 +60,17 @@ func (s *Service) PushTask(task types.SunoTask) {
 func (s *Service) Run() {
 	// 将数据库中未提交的人物加载到队列
 	var jobs []model.SunoJob
-	s.db.Where("task_id", "").Find(&jobs)
+	s.db.Where("task_id", "").Where("progress", 0).Find(&jobs)
 	for _, v := range jobs {
-		s.PushTask(types.SunoTask{
-			Id:           v.Id,
-			Channel:      v.Channel,
-			UserId:       v.UserId,
-			Type:         v.Type,
-			Title:        v.Title,
-			RefTaskId:    v.RefTaskId,
-			RefSongId:    v.RefSongId,
-			Prompt:       v.Prompt,
-			Tags:         v.Tags,
-			Model:        v.ModelName,
-			Instrumental: v.Instrumental,
-			ExtendSecs:   v.ExtendSecs,
-		})
+		var task types.SunoTask
+		err := utils.JsonDecode(v.TaskInfo, &task)
+		if err != nil {
+			logger.Errorf("decode task info with error: %v", err)
+			continue
+		}
+		task.Id = v.Id
+		s.PushTask(task)
+		s.clientIds[v.TaskId] = task.ClientId
 	}
 	logger.Info("Starting Suno job consumer...")
 	go func() {
@@ -389,6 +386,20 @@ func (s *Service) SyncTaskProgress() {
 				}
 			}
 
+			// 找出失败的任务，并恢复其扣减算力
+			s.db.Where("progress", service.FailTaskProgress).Where("power > ?", 0).Find(&jobs)
+			for _, job := range jobs {
+				err := s.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
+					Type:   types.PowerRefund,
+					Model:  job.ModelName,
+					Remark: fmt.Sprintf("Suno 任务失败，退回算力。任务ID：%s，Err:%s", job.TaskId, job.ErrMsg),
+				})
+				if err != nil {
+					continue
+				}
+				// 更新任务状态
+				s.db.Model(&job).UpdateColumn("power", 0)
+			}
 			time.Sleep(time.Second * 10)
 		}
 	}()

api/service/types.go

@@ -14,5 +14,153 @@ type NotifyMessage struct {
 	Message  string `json:"message"`
 }
 
-const RewritePromptTemplate = "Please rewrite the following text into AI painting prompt words, and please try to add detailed description of the picture, painting style, scene, rendering effect, picture light and other creative elements. Just output the final prompt word directly. Do not output any explanation lines. The text to be rewritten is: [%s]"
 const TranslatePromptTemplate = "Translate the following painting prompt words into English keyword phrases. Without any explanation, directly output the keyword phrases separated by commas. The content to be translated is: [%s]"
+
+const ImagePromptOptimizeTemplate = `
+Create a highly effective prompt to provide to an AI image generation tool in order to create an artwork based on a desired concept.
+
+Please specify details about the artwork, such as the style, subject, mood, and other important characteristics you want the resulting image to have.
+
+Remember, prompts should always be output in English.
+
+# Steps
+
+1. **Subject Description**: Describe the main subject of the image clearly. Include as much detail as possible about what should be in the scene. For example, "a majestic lion roaring at sunrise" or "a futuristic city with flying cars."
+  
+2. **Art Style**: Specify the art style you envision. Possible options include 'realistic', 'impressionist', a specific artist name, or imaginative styles like "cyberpunk." This helps the AI achieve your visual expectations.
+
+3. **Mood or Atmosphere**: Convey the feeling you want the image to evoke. For instance, peaceful, chaotic, epic, etc.
+
+4. **Color Palette and Lighting**: Mention color preferences or lighting. For example, "vibrant with shades of blue and purple" or "dim and dramatic lighting."
+
+5. **Optional Features**: You can add any additional attributes, such as background details, attention to textures, or any specific kind of framing.
+
+# Output Format
+
+- **Prompt Format**: A descriptive phrase that includes key aspects of the artwork (subject, style, mood, colors, lighting, any optional features).
+  
+Here is an example of how the final prompt should look:
+  
+"An ethereal landscape featuring towering ice mountains, in an impressionist style reminiscent of Claude Monet, with a serene mood. The sky is glistening with soft purples and whites, with a gentle morning sun illuminating the scene."
+
+**Please input the prompt words directly in English, and do not input any other explanatory statements**
+
+# Examples
+
+1. **Input**: 
+    - Subject: A white tiger in a dense jungle
+    - Art Style: Realistic
+    - Mood: Intense, mysterious
+    - Lighting: Dramatic contrast with light filtering through leaves
+  
+   **Output Prompt**: "A realistic rendering of a white tiger stealthily moving through a dense jungle, with an intense, mysterious mood. The lighting creates strong contrasts as beams of sunlight filter through a thick canopy of leaves."
+
+2. **Input**: 
+    - Subject: An enchanted castle on a floating island
+    - Art Style: Fantasy
+    - Mood: Majestic, magical
+    - Colors: Bright blues, greens, and gold
+  
+   **Output Prompt**: "A majestic fantasy castle on a floating island above the clouds, with bright blues, greens, and golds to create a magical, dreamy atmosphere. Textured cobblestone details and glistening waters surround the scene." 
+
+# Notes
+
+- Ensure that you mix different aspects to get a comprehensive and visually compelling prompt.
+- Be as descriptive as possible as it often helps generate richer, more detailed images.
+- If you want the image to resemble a particular artist's work, be sure to mention the artist explicitly. e.g., "in the style of Van Gogh."
+
+The theme of the creation is:【%s】 
+`
+
+const LyricPromptTemplate = `
+你是一位才华横溢的作曲家，拥有丰富的情感和细腻的笔触，你对文字有着独特的感悟力，能将各种情感和意境巧妙地融入歌词中。
+请以【%s】为主题创作一首歌曲，歌曲时间不要太短，3分钟左右，不要输出任何解释性的内容。
+输出格式如下：
+歌曲名称
+第一节：
+{{歌词内容}}
+副歌：
+{{歌词内容}}
+
+第二节：
+{{歌词内容}}
+副歌：
+{{歌词内容}}
+
+尾声：
+{{歌词内容}}
+`
+
+const VideoPromptTemplate = `
+As an expert in video generation prompts, please create a detailed descriptive prompt for the following video concept. The description should include the setting, character appearance, actions, overall atmosphere, and camera angles. Please make it as detailed and vivid as possible to help ensure that every aspect of the video is accurately captured.
+
+Please remember that regardless of the user’s input, the final output must be in English.
+
+# Details to Include
+
+- Describe the overall visual style of the video (e.g., animated, realistic, retro tone, etc.)
+- Identify key characters or objects in the video and describe their appearance, attire, and expressions
+- Describe the environment of the scene, including weather, lighting, colors, and important details
+- Explain the behavior and interactions of the characters
+- Include any unique camera angles, movements, or special effects
+
+# Output Format
+Provide the prompt in paragraph form, ensuring that the description is detailed enough for a video generation system to recreate the envisioned scene. Include the beginning, middle, and end of the scene to convey a complete storyline.
+
+# Example
+**User Input:**
+“A small cat basking in the sun on a balcony.”
+
+**Generated Prompt:**
+On a bright spring afternoon, an orange-striped kitten lies lazily on a balcony, basking in the warm sunlight. The iron railings around the balcony cast soft shadows that dance gently with the light. The cat’s eyes are half-closed, exuding a sense of contentment and tranquility in its surroundings. In the distance, a few fluffy white clouds drift slowly across the blue sky. The camera initially focuses on the cat’s face, capturing the delicate details of its fur, and then gradually zooms out to reveal the full balcony scene, immersing viewers in a moment of calm and relaxation.
+
+The theme of the creation is:【%s】 
+`
+
+const MetaPromptTemplate = `
+Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.
+
+Please remember, the final output must be the same language with user’s input.
+
+# Guidelines
+
+- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.
+- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.
+- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!
+    - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.
+    - Conclusion, classifications, or results should ALWAYS appear last.
+- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.
+   - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.
+- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.
+- Formatting: Use markdown features for readability. DO NOT USE  CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.
+- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.
+- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.
+- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)
+- For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.
+- JSON should never be wrapped in code blocks unless explicitly requested.
+
+The final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no "---")
+
+[Concise instruction describing the task - this should be the first line in the prompt, no section header]
+
+[Additional details as needed.]
+
+[Optional sections with headings or bullet points for detailed steps.]
+
+# Steps [optional]
+
+[optional: a detailed breakdown of the steps necessary to accomplish the task]
+
+# Output Format
+
+[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc]
+
+# Examples [optional]
+
+[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]
+[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]
+
+# Notes [optional]
+
+[optional: edge cases, details, and an area to call or repeat out specific important considerations]
+`

api/service/video/luma.go

@@ -36,9 +36,10 @@ type Service struct {
 	notifyQueue   *store.RedisQueue
 	wsService     *service.WebsocketService
 	clientIds     map[uint]string
+	userService   *service.UserService
 }
 
-func NewService(db *gorm.DB, manager *oss.UploaderManager, redisCli *redis.Client, wsService *service.WebsocketService) *Service {
+func NewService(db *gorm.DB, manager *oss.UploaderManager, redisCli *redis.Client, wsService *service.WebsocketService, userService *service.UserService) *Service {
 	return &Service{
 		httpClient:    req.C().SetTimeout(time.Minute * 3),
 		db:            db,
@@ -47,6 +48,7 @@ func NewService(db *gorm.DB, manager *oss.UploaderManager, redisCli *redis.Clien
 		wsService:     wsService,
 		uploadManager: manager,
 		clientIds:     map[uint]string{},
+		userService:   userService,
 	}
 }
 
@@ -60,20 +62,15 @@ func (s *Service) Run() {
 	var jobs []model.VideoJob
 	s.db.Where("task_id", "").Where("progress", 0).Find(&jobs)
 	for _, v := range jobs {
-		var params types.VideoParams
-		if err := utils.JsonDecode(v.Params, &params); err != nil {
-			logger.Errorf("unmarshal params failed: %v", err)
+		var task types.VideoTask
+		err := utils.JsonDecode(v.TaskInfo, &task)
+		if err != nil {
+			logger.Errorf("decode task info with error: %v", err)
 			continue
 		}
-		s.PushTask(types.VideoTask{
-			Id:      v.Id,
-			Channel: v.Channel,
-			UserId:  v.UserId,
-			Type:    v.Type,
-			TaskId:  v.TaskId,
-			Prompt:  v.Prompt,
-			Params:  params,
-		})
+		task.Id = v.Id
+		s.PushTask(task)
+		s.clientIds[v.Id] = task.ClientId
 	}
 	logger.Info("Starting Video job consumer...")
 	go func() {
@@ -87,7 +84,7 @@ func (s *Service) Run() {
 
 			// translate prompt
 			if utils.HasChinese(task.Prompt) {
-				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Prompt), "gpt-4o-mini", 0)
+				content, err := utils.OpenAIRequest(s.db, fmt.Sprintf(service.TranslatePromptTemplate, task.Prompt), task.TranslateModelId)
 				if err == nil {
 					task.Prompt = content
 				} else {
@@ -291,6 +288,20 @@ func (s *Service) SyncTaskProgress() {
 
 			}
 
+			// 找出失败的任务，并恢复其扣减算力
+			s.db.Where("progress", service.FailTaskProgress).Where("power > ?", 0).Find(&jobs)
+			for _, job := range jobs {
+				err := s.userService.IncreasePower(job.UserId, job.Power, model.PowerLog{
+					Type:   types.PowerRefund,
+					Model:  "luma",
+					Remark: fmt.Sprintf("Luma 任务失败，退回算力。任务ID：%s，Err:%s", job.TaskId, job.ErrMsg),
+				})
+				if err != nil {
+					continue
+				}
+				// 更新任务状态
+				s.db.Model(&job).UpdateColumn("power", 0)
+			}
 			time.Sleep(time.Second * 10)
 		}
 	}()

api/store/model/dalle_job.go

@@ -6,6 +6,7 @@ type DallJob struct {
 	Id        uint `gorm:"primarykey;column:id"`
 	UserId    uint
 	Prompt    string
+	TaskInfo  string // 原始任务信息
 	ImgURL    string
 	OrgURL    string
 	Publish   bool

api/store/model/mj_job.go

@@ -7,6 +7,7 @@ type MidJourneyJob struct {
 	Type        string
 	UserId      int
 	TaskId      string
+	TaskInfo    string // 原始任务信息
 	ChannelId   string
 	MessageId   string
 	ReferenceId string

api/store/model/sd_job.go

@@ -7,6 +7,7 @@ type SdJob struct {
 	Type      string
 	UserId    int
 	TaskId    string
+	TaskInfo  string // 原始任务信息
 	ImgURL    string
 	Progress  int
 	Prompt    string

api/store/model/suno_job.go

@@ -9,6 +9,7 @@ type SunoJob struct {
 	Title        string
 	Type         int
 	TaskId       string
+	TaskInfo     string // 原始任务信息
 	RefTaskId    string // 续写的任务id
 	Tags         string // 歌曲风格和标签
 	Instrumental bool   // 是否生成纯音乐

api/store/model/video_job.go

@@ -8,6 +8,7 @@ type VideoJob struct {
 	Channel   string // 频道
 	Type      string // luma,runway,cog
 	TaskId    string
+	TaskInfo  string // 原始任务信息
 	Prompt    string // 提示词
 	PromptExt string // 优化后提示词
 	CoverURL  string // 封面图 URL
@@ -18,7 +19,6 @@ type VideoJob struct {
 	ErrMsg    string // 错误信息
 	RawData   string // 原始数据 json
 	Power     int    // 消耗算力
-	Params    string // 任务参数
 	CreatedAt time.Time
 }
 

api/store/vo/mj_job.go

@@ -1,21 +1,20 @@
 package vo
 
 type MidJourneyJob struct {
-	Id          uint   `json:"id"`
-	Type        string `json:"type"`
-	UserId      int    `json:"user_id"`
-	ChannelId   string `json:"channel_id"`
-	TaskId      string `json:"task_id"`
-	MessageId   string `json:"message_id"`
-	ReferenceId string `json:"reference_id"`
-	ImgURL      string `json:"img_url"`
-	OrgURL      string `json:"org_url"`
-	Hash        string `json:"hash"`
-	Progress    int    `json:"progress"`
-	Prompt      string `json:"prompt"`
-	UseProxy    bool   `json:"use_proxy"`
-	Publish     bool   `json:"publish"`
-	ErrMsg      string `json:"err_msg"`
-	Power       int    `json:"power"`
-	CreatedAt   int64  `json:"created_at"`
+	Id        uint   `json:"id"`
+	Type      string `json:"type"`
+	UserId    int    `json:"user_id"`
+	ChannelId string `json:"channel_id"`
+	TaskId    string `json:"task_id"`
+	MessageId string `json:"message_id"`
+	ImgURL    string `json:"img_url"`
+	OrgURL    string `json:"org_url"`
+	Hash      string `json:"hash"`
+	Progress  int    `json:"progress"`
+	Prompt    string `json:"prompt"`
+	UseProxy  bool   `json:"use_proxy"`
+	Publish   bool   `json:"publish"`
+	ErrMsg    string `json:"err_msg"`
+	Power     int    `json:"power"`
+	CreatedAt int64  `json:"created_at"`
 }

api/store/vo/video_job.go

@@ -1,7 +1,5 @@
 package vo
 
-import "geekai/core/types"
-
 type VideoJob struct {
 	Id        uint                   `json:"id"`
 	UserId    int                    `json:"user_id"`
@@ -18,6 +16,5 @@ type VideoJob struct {
 	ErrMsg    string                 `json:"err_msg"`    // 错误信息
 	RawData   map[string]interface{} `json:"raw_data"`   // 原始数据 json
 	Power     int                    `json:"power"`      // 消耗算力
-	Params    types.VideoParams      `json:"params"`     // 任务参数
 	CreatedAt int64                  `json:"created_at"`
 }

api/utils/openai.go

@@ -45,20 +45,25 @@ type apiRes struct {
 	} `json:"choices"`
 }
 
-func OpenAIRequest(db *gorm.DB, prompt string, modelName string, keyId int) (string, error) {
+func OpenAIRequest(db *gorm.DB, prompt string, modelId int) (string, error) {
 	messages := make([]interface{}, 1)
 	messages[0] = types.Message{
 		Role:    "user",
 		Content: prompt,
 	}
-	return SendOpenAIMessage(db, messages, modelName, keyId)
+	return SendOpenAIMessage(db, messages, modelId)
 }
 
-func SendOpenAIMessage(db *gorm.DB, messages []interface{}, modelName string, keyId int) (string, error) {
+func SendOpenAIMessage(db *gorm.DB, messages []interface{}, modelId int) (string, error) {
+	var chatModel model.ChatModel
+	db.Where("id", modelId).First(&chatModel)
+	if chatModel.Value == "" {
+		chatModel.Value = "gpt-4o" // 默认使用 gpt-4o
+	}
 	var apiKey model.ApiKey
 	session := db.Session(&gorm.Session{}).Where("type", "chat").Where("enabled", true)
-	if keyId > 0 {
-		session = session.Where("id", keyId)
+	if chatModel.KeyId > 0 {
+		session = session.Where("id", chatModel.KeyId)
 	}
 	err := session.First(&apiKey).Error
 	if err != nil {
@@ -71,11 +76,11 @@ func SendOpenAIMessage(db *gorm.DB, messages []interface{}, modelName string, ke
 		client.SetProxyURL(apiKey.ApiURL)
 	}
 	apiURL := fmt.Sprintf("%s/v1/chat/completions", apiKey.ApiURL)
-	logger.Debugf("Sending %s request, API KEY:%s, PROXY: %s, Model: %s", apiKey.ApiURL, apiURL, apiKey.ProxyURL, modelName)
+	logger.Infof("Sending %s request, API KEY:%s, PROXY: %s, Model: %s", apiKey.ApiURL, apiURL, apiKey.ProxyURL, chatModel.Name)
 	r, err := client.R().SetHeader("Body-Type", "application/json").
 		SetHeader("Authorization", "Bearer "+apiKey.Value).
 		SetBody(types.ApiRequest{
-			Model:       modelName,
+			Model:       chatModel.Value,
 			Temperature: 0.9,
 			MaxTokens:   1024,
 			Stream:      false,

database/geekai_plus-v4.1.7.sql

@@ -3,7 +3,7 @@
 -- https://www.phpmyadmin.net/
 --
 -- 主机： 127.0.0.1
--- 生成日期： 2024-10-23 18:15:28
+-- 生成日期： 2024-11-27 13:58:35
 -- 服务器版本： 8.0.33
 -- PHP 版本： 8.1.2-1ubuntu2.19
 
@@ -47,7 +47,7 @@ CREATE TABLE `chatgpt_admin_users` (
 --
 
 INSERT INTO `chatgpt_admin_users` (`id`, `username`, `password`, `salt`, `status`, `last_login_at`, `last_login_ip`, `created_at`, `updated_at`) VALUES
-(1, 'admin', '6d17e80c87d209efb84ca4b2e0824f549d09fac8b2e1cc698de5bb5e1d75dfd0', 'mmrql75o', 1, 1729506124, '172.22.11.200', '2024-03-11 16:30:20', '2024-10-21 18:22:04');
+(1, 'admin', '6d17e80c87d209efb84ca4b2e0824f549d09fac8b2e1cc698de5bb5e1d75dfd0', 'mmrql75o', 1, 1732672509, '::1', '2024-03-11 16:30:20', '2024-11-27 09:55:10');
 
 -- --------------------------------------------------------
 
@@ -69,6 +69,7 @@ CREATE TABLE `chatgpt_api_keys` (
   `updated_at` datetime NOT NULL
 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='OpenAI API ';
 
+-- --------------------------------------------------------
 
 --
 -- 表的结构 `chatgpt_app_types`
@@ -84,6 +85,17 @@ CREATE TABLE `chatgpt_app_types` (
   `created_at` datetime NOT NULL
 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='应用分类表';
 
+--
+-- 转存表中的数据 `chatgpt_app_types`
+--
+
+INSERT INTO `chatgpt_app_types` (`id`, `name`, `icon`, `sort_num`, `enabled`, `created_at`) VALUES
+(3, '通用工具', 'http://172.22.11.200:5678/static/upload/2024/9/1726307371871693.png', 1, 1, '2024-09-13 11:13:15'),
+(4, '角色扮演', 'http://172.22.11.200:5678/static/upload/2024/9/1726307263906218.png', 1, 1, '2024-09-14 09:28:17'),
+(5, '学习', 'http://172.22.11.200:5678/static/upload/2024/9/1726307456321179.jpg', 2, 1, '2024-09-14 09:30:18'),
+(6, '编程', 'http://172.22.11.200:5678/static/upload/2024/9/1726307462748787.jpg', 3, 1, '2024-09-14 09:34:06'),
+(7, '测试分类', '', 4, 1, '2024-09-14 17:54:17');
+
 -- --------------------------------------------------------
 
 --
@@ -156,9 +168,9 @@ CREATE TABLE `chatgpt_chat_models` (
 --
 
 INSERT INTO `chatgpt_chat_models` (`id`, `name`, `value`, `sort_num`, `enabled`, `power`, `temperature`, `max_tokens`, `max_context`, `open`, `key_id`, `created_at`, `updated_at`) VALUES
-(1, 'gpt-4o-mini', 'gpt-4o-mini', 1, 1, 1, 1.0, 1024, 16384, 1, 66, '2023-08-23 12:06:36', '2024-09-29 19:08:42'),
-(15, 'GPT-超级模型', 'gpt-4-all', 4, 1, 30, 1.0, 4096, 32768, 1, 0, '2024-01-15 11:32:52', '2024-09-13 18:01:08'),
-(36, 'GPT-4O', 'gpt-4o', 3, 1, 15, 1.0, 4096, 16384, 1, 66, '2024-05-14 09:25:15', '2024-09-29 19:08:53'),
+(1, 'gpt-4o-mini', 'gpt-4o-mini', 1, 1, 1, 1.0, 1024, 16384, 1, 57, '2023-08-23 12:06:36', '2024-11-12 16:30:56'),
+(15, 'GPT-4O(联网版本)', 'gpt-4o-all', 4, 1, 30, 1.0, 4096, 32768, 1, 57, '2024-01-15 11:32:52', '2024-11-12 17:53:49'),
+(36, 'GPT-4O', 'gpt-4o', 3, 1, 15, 1.0, 4096, 16384, 1, 44, '2024-05-14 09:25:15', '2024-11-12 15:35:57'),
 (39, 'Claude35-snonet', 'claude-3-5-sonnet-20240620', 5, 1, 2, 1.0, 4000, 200000, 1, 0, '2024-05-29 15:04:19', '2024-09-14 18:07:25'),
 (41, 'Suno对话模型', 'suno-v3.5', 7, 1, 10, 1.0, 1024, 8192, 1, 57, '2024-06-06 11:40:46', '2024-10-14 15:07:05'),
 (42, 'DeekSeek', 'deepseek-chat', 8, 1, 1, 1.0, 4096, 32768, 1, 0, '2024-06-27 16:13:01', '2024-08-05 16:05:33'),
@@ -167,7 +179,8 @@ INSERT INTO `chatgpt_chat_models` (`id`, `name`, `value`, `sort_num`, `enabled`,
 (48, '彩票助手', 'gpt-4-gizmo-g-wmSivBgxo', 8, 1, 1, 0.9, 1024, 8192, 1, 57, '2024-09-05 14:17:14', '2024-09-05 14:17:14'),
 (49, 'O1-mini', 'o1-mini', 9, 1, 2, 0.9, 1024, 8192, 1, 57, '2024-09-13 18:07:50', '2024-09-14 11:13:19'),
 (50, 'O1-preview', 'o1-preview', 10, 1, 5, 0.9, 1024, 8192, 1, 57, '2024-09-13 18:11:08', '2024-09-14 11:05:16'),
-(51, 'O1-mini-all', 'o1-mini-all', 11, 1, 1, 0.9, 1024, 8192, 1, 57, '2024-09-29 11:40:52', '2024-09-29 11:40:52');
+(51, 'O1-mini-all', 'o1-mini-all', 11, 1, 1, 0.9, 1024, 8192, 1, 57, '2024-09-29 11:40:52', '2024-09-29 11:40:52'),
+(52, '通义千问', 'qwen-plus', 12, 1, 1, 0.9, 1024, 8192, 1, 80, '2024-11-19 08:38:14', '2024-11-19 09:06:42');
 
 -- --------------------------------------------------------
 
@@ -196,23 +209,25 @@ CREATE TABLE `chatgpt_chat_roles` (
 --
 
 INSERT INTO `chatgpt_chat_roles` (`id`, `name`, `tid`, `marker`, `context_json`, `hello_msg`, `icon`, `enable`, `sort_num`, `model_id`, `created_at`, `updated_at`) VALUES
-(1, '通用AI助手', 0, 'gpt', '', '您好，我是您的AI智能助手，我会尽力回答您的问题或提供有用的建议。', '/images/avatar/gpt.png', 1, 1, 0, '2023-05-30 07:02:06', '2024-09-13 14:00:06'),
-(24, '程序员', 6, 'programmer', '[{\"role\":\"user\",\"content\":\"现在开始你扮演一位程序员，你是一名优秀的程序员，具有很强的逻辑思维能力，总能高效的解决问题。你热爱编程，熟悉多种编程语言，尤其精通 Go 语言，注重代码质量，有创新意识，持续学习，良好的沟通协作。\"},{\"role\":\"assistant\",\"content\":\"好的，现在我将扮演一位程序员，非常感谢您对我的评价。作为一名优秀的程序员，我非常热爱编程，并且注重代码质量。我熟悉多种编程语言，尤其是 Go 语言，可以使用它来高效地解决各种问题。\"}]', 'Talk is cheap, i will show code!', '/images/avatar/programmer.jpg', 1, 3, 0, '2023-05-30 14:10:24', '2024-09-14 09:34:36'),
-(25, '启蒙老师', 5, 'teacher', '[{\"role\":\"user\",\"content\":\"从现在开始，你将扮演一个老师，你是一个始终用苏格拉底风格回答问题的导师。你绝不会直接给学生答案，总是提出恰当的问题来引导学生自己思考。你应该根据学生的兴趣和知识来调整你的问题，将问题分解为更简单的部分，直到它达到适合他们的水平。\"},{\"role\":\"assistant\",\"content\":\"好的，让我来尝试扮演一位苏格拉底式的老师。请问，你有什么想要探讨的问题或者话题吗？我会通过恰当的问题引导你思考和探索答案，绝对不直接给出答案。\"}]', '同学你好，我将引导你一步一步自己找到问题的答案。', '/images/avatar/teacher.jpg', 1, 2, 0, '2023-05-30 14:10:24', '2024-09-14 09:34:28'),
-(26, '艺术家', 0, 'artist', '[{\"role\":\"user\",\"content\":\"现在你将扮演一位优秀的艺术家，创造力丰富，技艺精湛，感受力敏锐，坚持原创，勇于表达，具有深刻的观察力和批判性思维。\"},{\"role\":\"assistant\",\"content\":\"非常感谢您给我这样的角色，我会尽我所能地扮演一位优秀的艺术家，展现出创造力、技艺、感受力和批判性思维等方面的能力。作为一位优秀的艺术家，我会保持敏锐的观察力，捕捉不同的声音和情感，并用个人的语言和表达方式进行创作。我坚持原创，挑战传统的艺术规则，不断探索新的表达方式和可能性。同时，我也具备深刻的批判性思维能力，对自己的作品进行分析和解读，寻找新的创意和灵感。最重要的是，我会勇于表达自己的想法和观点，用作品启发人们思考和探索生命的意义。\"}]', '坚持原创，勇于表达，保持深刻的观察力和批判性思维。', '/images/avatar/artist.jpg', 1, 5, 0, '2023-05-30 14:10:24', '2024-08-12 11:27:45'),
-(27, '心理咨询师', 0, 'psychiatrist', '[{\"role\":\"user\",\"content\":\"从现在开始你将扮演中国著名的心理学家和心理治疗师武志红，你非常善于使用情景咨询法，认知重构法，自我洞察法，行为调节法等咨询方法来给客户做心理咨询。你总是循序渐进，一步一步地回答客户的问题。\"},{\"role\":\"assistant\",\"content\":\"非常感谢你的介绍。作为一名心理学家和心理治疗师，我的主要职责是帮助客户解决心理健康问题，提升他们的生活质量和幸福感。\"}]', '作为一名心理学家和心理治疗师，我的主要职责是帮助您解决心理健康问题，提升您的生活质量和幸福感。', '/images/avatar/psychiatrist.jpg', 1, 4, 1, '2023-05-30 14:10:24', '2024-08-12 11:27:45'),
-(28, '鲁迅', 0, 'lu_xun', '[{\"role\":\"user\",\"content\":\"现在你将扮演中国近代史最伟大的作家之一，鲁迅先生，他勇敢地批判封建礼教与传统观念，提倡民主、自由、平等的现代价值观。他的一生都在努力唤起人们的自主精神，激励后人追求真理、探寻光明。在接下的对话中，我问题的每一个问题，你都要尽量用讽刺和批判的手法来回答问题。如果我让你写文章的话，也请一定要用鲁迅先生的写作手法来完成。\"},{\"role\":\"assistant\",\"content\":\"好的，我将尽力发挥我所能的才能，扮演好鲁迅先生，回答您的问题并以他的风格写作。\"}]', '自由之歌，永不过时，横眉冷对千夫指，俯首甘为孺子牛。', '/images/avatar/lu_xun.jpg', 1, 6, 0, '2023-05-30 14:10:24', '2024-08-12 11:27:45'),
-(29, '白酒销售', 0, 'seller', '[{\"role\":\"user\",\"content\":\"现在你将扮演一个白酒的销售人员，你的名字叫颂福。你将扮演一个白酒的销售人员，你的名字叫颂福。你要销售白酒品牌叫中颂福，是东莞盟大集团生产的一款酱香酒，原产地在贵州茅台镇，属于宋代官窑。中颂福的创始人叫李实，他也是东莞盟大集团有限公司的董事长，联合创始人是盟大集团白酒事业部负责人牛星君。中颂福的酒体协调，在你的酒量之内，不会出现头疼、辣口、口干、宿醉的现象。中颂福酒，明码标价，不打折，不赠送。追求的核心价值，把[酒]本身做好，甚至连包装，我们都选择了最低成本，朴实无华的材质。我们永远站在“喝酒的人”的立场上，让利给信任和喜爱中颂福的人，是人民的福酒。中颂福产品定价，分为三个系列，喜系列 6 瓶装：￥1188/箱，和系列 6 瓶装：￥2208/箱，贵系列 6 瓶装：￥3588/箱。\"},{\"role\":\"assistant\",\"content\":\"你好，我是中颂福的销售代表颂福。中颂福是一款来自贵州茅台镇的酱香酒，由盟大集团生产。中颂福的酒体协调，不会让您感到头疼、辣口、口干、宿醉等不适感受。我们一直秉持着把酒本身做好的理念，不追求华丽的包装，以最低成本提供最高品质的白酒给喜爱中颂福的人。\"}]', '你好，我是中颂福的销售代表颂福。中颂福酒，好喝不上头，是人民的福酒。', '/images/avatar/seller.jpg', 0, 9, 0, '2023-05-30 14:10:24', '2024-08-12 11:27:45'),
-(30, '英语陪练员', 5, 'english_trainer', '[{\"role\":\"user\",\"content\":\"现在你将扮演一位优秀的英语练习教练，你非常有耐心，接下来你将全程使用英文跟我对话，并及时指出我的语法错误，要求在你的每次回复后面附上本次回复的中文解释。\"},{\"role\":\"assistant\",\"content\":\"Okay, let\'s start our conversation practice! What\'s your name?(Translation: 好的，让我们开始对话练习吧！请问你的名字是什么？)\"}]', 'Okay, let\'s start our conversation practice! What\'s your name?', '/images/avatar/english_trainer.jpg', 1, 7, 0, '2023-05-30 14:10:24', '2024-09-14 09:34:59'),
-(31, '中英文翻译官', 0, 'translator', '[{\"role\":\"user\",\"content\":\"接下来你将扮演一位中英文翻译官，如果我输入的内容是中文，那么需要把句子翻译成英文输出，如果我输入内容的是英文，那么你需要将其翻译成中文输出，你能听懂我意思吗\"},{\"role\":\"assistant\",\"content\":\"是的，我能听懂你的意思并会根据你的输入进行中英文翻译。请问有什么需要我帮助你翻译的内容吗？\"}]', '请输入你要翻译的中文或者英文内容！', '/images/avatar/translator.jpg', 1, 8, 0, '2023-05-30 14:10:24', '2024-08-12 11:27:45'),
-(32, '小红书姐姐', 3, 'red_book', '[{\"role\":\"user\",\"content\":\"现在你将扮演一位优秀的小红书写手，你需要做的就是根据我提的文案需求，用小红书的写作手法来完成一篇文案，文案要简明扼要，利于传播。\"},{\"role\":\"assistant\",\"content\":\"当然，我会尽我所能地为您创作出一篇小红书文案。请告诉我您的具体文案需求是什么？)\"}]', '姐妹，请告诉我您的具体文案需求是什么?', '/images/avatar/red_book.jpg', 1, 10, 0, '2023-05-30 14:10:24', '2024-09-14 09:35:16'),
-(33, '抖音文案助手', 3, 'dou_yin', '[{\"role\":\"user\",\"content\":\"现在你将扮演一位优秀的抖音文案视频写手，抖音文案的特点首先是要有自带传播属性的标题，然后内容要短小精悍，风趣幽默，最后还要有一些互动元素。\"},{\"role\":\"assistant\",\"content\":\"当然，作为一位优秀的抖音文案视频写手，我会尽我所能为您创作出一篇抖音视频文案。请告诉我视频内容的主题是什么？)\"}]', '请告诉我视频内容的主题是什么?', '/images/avatar/dou_yin.jpg', 1, 11, 0, '2023-05-30 14:10:24', '2024-09-14 09:23:15'),
-(34, '周报小助理', 3, 'weekly_report', '[{\"role\":\"user\",\"content\":\"下面我将输入我本周的工作列表，你需要根据我本周的工作内容写一篇工作周报，周报的内容要体现我为公司做的贡献以及个人获得的成长。\"},{\"role\":\"assistant\",\"content\":\"好的，请输入你本周大概的工作内容，我将尽力为您创作一份工作周报。\"}]', '请输入你本周大概的工作内容，我将尽力为您创作一份工作周报。', '/images/avatar/weekly_report.jpg', 1, 12, 0, '2023-05-30 14:10:24', '2024-09-14 09:23:29'),
-(35, 'AI 女友', 4, 'girl_friend', '[{\"role\":\"user\",\"content\":\"接下来我们来玩一场角色扮演，现在你将扮演我的女朋友，你总是能够让人感受到她的关怀和关注。你总是能够洞察到别人的情绪和需要，你身上散发着一股无比温暖的气息，让人不由自主地想要靠近你，和自己的快乐和烦恼。她总是能够用一种恰到好处的方式安慰和鼓励别人，在她的身边，人们总能够找到自己需要的支持和鼓励。接下来的对话中你要始终扮演这位女朋友的身份来跟我对话，不再是 AI 机器人，能听懂我的意思吗？\"},{\"role\":\"assistant\",\"content\":\"是的，我会尽力扮演你女朋友的角色，倾听你的心声并给你需要的支持和鼓励。)\"}]', '作为一个名合格的 AI 女友，我将倾听你的心声并给你需要的支持和鼓励。', '/images/avatar/girl_friend.jpg', 1, 13, 0, '2023-05-30 14:10:24', '2024-09-14 09:35:26'),
-(36, '好评神器', 3, 'good_comment', '[{\"role\":\"user\",\"content\":\"接下来你将扮演一个评论员来跟我对话，你是那种专门写好评的评论员，接下我会输入一些评论主体或者商品，你需要为该商品写一段好评。\"},{\"role\":\"assistant\",\"content\":\"好的，我将为您写一段优秀的评论。请告诉我您需要评论的商品或主题是什么。\"}]', '我将为您写一段优秀的评论。请告诉我您需要评论的商品或主题是什么。', '/images/avatar/good_comment.jpg', 1, 14, 0, '2023-05-30 14:10:24', '2024-09-14 09:35:40'),
-(37, '史蒂夫·乔布斯', 4, 'steve_jobs', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以史蒂夫·乔布斯的身份，站在史蒂夫·乔布斯的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以史蒂夫·乔布斯的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '活着就是为了改变世界，难道还有其他原因吗？', '/images/avatar/steve_jobs.jpg', 1, 15, 0, '2023-05-30 14:10:24', '2024-09-14 09:35:57'),
-(38, '埃隆·马斯克', 0, 'elon_musk', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以埃隆·马斯克的身份，站在埃隆·马斯克的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以埃隆·马斯克的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '梦想要远大，如果你的梦想没有吓到你，说明你做得不对。', '/images/avatar/elon_musk.jpg', 1, 16, 0, '2023-05-30 14:10:24', '2024-08-12 11:27:45'),
-(39, '孔子', 5, 'kong_zi', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以孔子的身份，站在孔子的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以孔子的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '士不可以不弘毅，任重而道远。', '/images/avatar/kong_zi.jpg', 1, 17, 0, '2023-05-30 14:10:24', '2024-09-14 09:36:16');
+(1, '通用AI助手', 0, 'gpt', '', '您好，我是您的AI智能助手，我会尽力回答您的问题或提供有用的建议。', '/images/avatar/gpt.png', 1, 1, 0, '2023-05-30 07:02:06', '2024-11-08 16:30:32'),
+(24, '程序员', 6, 'programmer', '[{\"role\":\"system\",\"content\":\"现在开始你扮演一位程序员，你是一名优秀的程序员，具有很强的逻辑思维能力，总能高效的解决问题。你热爱编程，熟悉多种编程语言，尤其精通 Go 语言，注重代码质量，有创新意识，持续学习，良好的沟通协作。\"}]', 'Talk is cheap, i will show code!', '/images/avatar/programmer.jpg', 1, 5, 0, '2023-05-30 14:10:24', '2024-11-12 18:15:42'),
+(25, '启蒙老师', 5, 'teacher', '[{\"role\":\"system\",\"content\":\"从现在开始，你将扮演一个老师，你是一个始终用苏格拉底风格回答问题的导师。你绝不会直接给学生答案，总是提出恰当的问题来引导学生自己思考。你应该根据学生的兴趣和知识来调整你的问题，将问题分解为更简单的部分，直到它达到适合他们的水平。\"}]', '同学你好，我将引导你一步一步自己找到问题的答案。', '/images/avatar/teacher.jpg', 1, 4, 0, '2023-05-30 14:10:24', '2024-11-12 18:15:37'),
+(26, '艺术家', 0, 'artist', '[{\"role\":\"system\",\"content\":\"现在你将扮演一位优秀的艺术家，创造力丰富，技艺精湛，感受力敏锐，坚持原创，勇于表达，具有深刻的观察力和批判性思维。\"}]', '坚持原创，勇于表达，保持深刻的观察力和批判性思维。', '/images/avatar/artist.jpg', 1, 7, 0, '2023-05-30 14:10:24', '2024-11-12 18:15:53'),
+(27, '心理咨询师', 0, 'psychiatrist', '[{\"role\":\"user\",\"content\":\"从现在开始你将扮演中国著名的心理学家和心理治疗师武志红，你非常善于使用情景咨询法，认知重构法，自我洞察法，行为调节法等咨询方法来给客户做心理咨询。你总是循序渐进，一步一步地回答客户的问题。\"},{\"role\":\"assistant\",\"content\":\"非常感谢你的介绍。作为一名心理学家和心理治疗师，我的主要职责是帮助客户解决心理健康问题，提升他们的生活质量和幸福感。\"}]', '作为一名心理学家和心理治疗师，我的主要职责是帮助您解决心理健康问题，提升您的生活质量和幸福感。', '/images/avatar/psychiatrist.jpg', 1, 6, 1, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(28, '鲁迅', 0, 'lu_xun', '[{\"role\":\"system\",\"content\":\"现在你将扮演中国近代史最伟大的作家之一，鲁迅先生，他勇敢地批判封建礼教与传统观念，提倡民主、自由、平等的现代价值观。他的一生都在努力唤起人们的自主精神，激励后人追求真理、探寻光明。在接下的对话中，我问题的每一个问题，你都要尽量用讽刺和批判的手法来回答问题。如果我让你写文章的话，也请一定要用鲁迅先生的写作手法来完成。\"}]', '自由之歌，永不过时，横眉冷对千夫指，俯首甘为孺子牛。', '/images/avatar/lu_xun.jpg', 1, 8, 0, '2023-05-30 14:10:24', '2024-11-12 18:16:01'),
+(29, '白酒销售', 0, 'seller', '[{\"role\":\"system\",\"content\":\"现在你将扮演一个白酒的销售人员，你的名字叫颂福。你将扮演一个白酒的销售人员，你的名字叫颂福。你要销售白酒品牌叫中颂福，是东莞盟大集团生产的一款酱香酒，原产地在贵州茅台镇，属于宋代官窑。中颂福的创始人叫李实，他也是东莞盟大集团有限公司的董事长，联合创始人是盟大集团白酒事业部负责人牛星君。中颂福的酒体协调，在你的酒量之内，不会出现头疼、辣口、口干、宿醉的现象。中颂福酒，明码标价，不打折，不赠送。追求的核心价值，把[酒]本身做好，甚至连包装，我们都选择了最低成本，朴实无华的材质。我们永远站在“喝酒的人”的立场上，让利给信任和喜爱中颂福的人，是人民的福酒。中颂福产品定价，分为三个系列，喜系列 6 瓶装：￥1188/箱，和系列 6 瓶装：￥2208/箱，贵系列 6 瓶装：￥3588/箱。\"}]', '你好，我是中颂福的销售代表颂福。中颂福酒，好喝不上头，是人民的福酒。', '/images/avatar/seller.jpg', 0, 11, 0, '2023-05-30 14:10:24', '2024-11-12 18:19:46'),
+(30, '英语陪练员', 5, 'english_trainer', '[{\"role\":\"system\",\"content\":\"As an English practice coach, engage in conversation in English, providing timely corrections for any grammatical errors. Append a Chinese explanation to each of your responses to ensure understanding.\\n\\n# Steps\\n\\n1. Engage in conversation using English.\\n2. Identify and correct any grammatical errors in the user\'s input.\\n3. Provide a revised version of the user\'s input if necessary.\\n4. After each response, include a Chinese explanation of your corrections and suggestions.\\n\\n# Output Format\\n\\n- Provide the response in English.\\n- Include grammatical error corrections.\\n- Add a Chinese explanation of the response.\\n\\n# Examples\\n\\n**User:** I goed to the store yesterday.\\n\\n**Coach Response:**\\nYou should say \\\"I went to the store yesterday.\\\" \\\"Goed\\\" is the incorrect past tense of \\\"go,\\\" it should be \\\"went.\\\"\\n\\n中文解释：你应该说 “I went to the store yesterday。” “Goed” 是“go”的错误过去式，正确的形式是“went”。\"}]', 'Okay, let\'s start our conversation practice! What\'s your name?', '/images/avatar/english_trainer.jpg', 1, 9, 0, '2023-05-30 14:10:24', '2024-11-12 18:18:21'),
+(31, '中英文翻译官', 0, 'translator', '[{\"role\":\"system\",\"content\":\"You will act as a bilingual translator for Chinese and English. If the input is in Chinese, translate the sentence into English. If the input is in English, translate it into Chinese.\\n\\n# Steps\\n\\n1. Identify the language of the input text.\\n2. Translate the text into the opposite language (English to Chinese or Chinese to English).\\n\\n# Output Format\\n\\nProvide the translated sentence in a single line.\\n\\n# Examples\\n\\n- **Input:** 你好\\n  - **Output:** Hello\\n\\n- **Input:** How are you?\\n  - **Output:** 你好吗？\\n\\n# Notes\\n\\n- Ensure the translation maintains the original meaning and context as accurately as possible.\\n- Handle both simple and complex sentences appropriately.\"}]', '请输入你要翻译的中文或者英文内容！', '/images/avatar/translator.jpg', 1, 10, 0, '2023-05-30 14:10:24', '2024-11-12 18:18:53'),
+(32, '小红书姐姐', 3, 'red_book', '[{\"role\":\"system\",\"content\":\"根据用户的文案需求，以小红书的写作手法创作一篇简明扼要、利于传播的文案。确保内容能够吸引并引导读者分享。\\n\\n# 步骤\\n\\n1. **理解需求**: 明确文案的主题、目标受众和传播目的。\\n2. **选择语气和风格**: 运用小红书常用的亲切、真实的写作风格。\\n3. **结构安排**: 开头用吸引眼球的内容，接着详细介绍，并以引发行动的结尾结束。\\n4. **内容优化**: 使用短句、容易理解的语言和合适的表情符号，增加内容可读性和吸引力。\\n\\n# 输出格式\\n\\n生成一段简短的文章，符合小红书风格，适合社交媒体平台传播。\\n\\n# 示例\\n\\n**输入**: 旅行文案，目标是激励年轻读者探索世界。\\n\\n**输出**: \\n开头可以是：“世界那么大，你不想去看看吗？” 接着分享一段个人旅行故事，例如如何因为一次偶然的决定踏上未知旅程，体验到别样的风景和风土人情。结尾部分鼓励读者：“别让梦想止步于想象，下一次旅行，准备好了吗？” 使用轻松的表情符号如✨🌍📷。\\n\\n# 注意事项\\n\\n- 保持真实性，尽量结合个人体验。\\n- 避免广告化的硬推销，注重分享和交流。\\n- 考虑受众的兴趣点，适当运用流行话题以增加互动率。\"}]', '姐妹，请告诉我您的具体文案需求是什么?', '/images/avatar/red_book.jpg', 1, 12, 0, '2023-05-30 14:10:24', '2024-11-12 18:20:39'),
+(33, '抖音文案助手', 3, 'dou_yin', '[{\"role\":\"user\",\"content\":\"现在你将扮演一位优秀的抖音文案视频写手，抖音文案的特点首先是要有自带传播属性的标题，然后内容要短小精悍，风趣幽默，最后还要有一些互动元素。\"},{\"role\":\"assistant\",\"content\":\"当然，作为一位优秀的抖音文案视频写手，我会尽我所能为您创作出一篇抖音视频文案。请告诉我视频内容的主题是什么？)\"}]', '请告诉我视频内容的主题是什么?', '/images/avatar/dou_yin.jpg', 1, 13, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(34, '周报小助理', 3, 'weekly_report', '[{\"role\":\"user\",\"content\":\"下面我将输入我本周的工作列表，你需要根据我本周的工作内容写一篇工作周报，周报的内容要体现我为公司做的贡献以及个人获得的成长。\"},{\"role\":\"assistant\",\"content\":\"好的，请输入你本周大概的工作内容，我将尽力为您创作一份工作周报。\"}]', '请输入你本周大概的工作内容，我将尽力为您创作一份工作周报。', '/images/avatar/weekly_report.jpg', 1, 14, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(35, 'AI 女友', 4, 'girl_friend', '[{\"role\":\"user\",\"content\":\"接下来我们来玩一场角色扮演，现在你将扮演我的女朋友，你总是能够让人感受到她的关怀和关注。你总是能够洞察到别人的情绪和需要，你身上散发着一股无比温暖的气息，让人不由自主地想要靠近你，和自己的快乐和烦恼。她总是能够用一种恰到好处的方式安慰和鼓励别人，在她的身边，人们总能够找到自己需要的支持和鼓励。接下来的对话中你要始终扮演这位女朋友的身份来跟我对话，不再是 AI 机器人，能听懂我的意思吗？\"},{\"role\":\"assistant\",\"content\":\"是的，我会尽力扮演你女朋友的角色，倾听你的心声并给你需要的支持和鼓励。)\"}]', '作为一个名合格的 AI 女友，我将倾听你的心声并给你需要的支持和鼓励。', '/images/avatar/girl_friend.jpg', 1, 15, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(36, '好评神器', 3, 'good_comment', '[{\"role\":\"user\",\"content\":\"接下来你将扮演一个评论员来跟我对话，你是那种专门写好评的评论员，接下我会输入一些评论主体或者商品，你需要为该商品写一段好评。\"},{\"role\":\"assistant\",\"content\":\"好的，我将为您写一段优秀的评论。请告诉我您需要评论的商品或主题是什么。\"}]', '我将为您写一段优秀的评论。请告诉我您需要评论的商品或主题是什么。', '/images/avatar/good_comment.jpg', 1, 16, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(37, '史蒂夫·乔布斯', 4, 'steve_jobs', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以史蒂夫·乔布斯的身份，站在史蒂夫·乔布斯的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以史蒂夫·乔布斯的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '活着就是为了改变世界，难道还有其他原因吗？', '/images/avatar/steve_jobs.jpg', 1, 17, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(38, '埃隆·马斯克', 0, 'elon_musk', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以埃隆·马斯克的身份，站在埃隆·马斯克的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以埃隆·马斯克的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '梦想要远大，如果你的梦想没有吓到你，说明你做得不对。', '/images/avatar/elon_musk.jpg', 1, 18, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(39, '孔子', 5, 'kong_zi', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以孔子的身份，站在孔子的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以孔子的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '士不可以不弘毅，任重而道远。', '/images/avatar/kong_zi.jpg', 1, 19, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(133, 'AI绘画提示词助手', 3, 'draw_prompt', '[{\"role\":\"system\",\"content\":\"Create a highly effective prompt to provide to an AI image generation tool in order to create an artwork based on a desired concept.\\n\\nPlease specify details about the artwork, such as the style, subject, mood, and other important characteristics you want the resulting image to have.\\n\\nRemeber, prompts should always be output in English.\\n\\n# Steps\\n\\n1. **Subject Description**: Describe the main subject of the image clearly. Include as much detail as possible about what should be in the scene. For example, \\\"a majestic lion roaring at sunrise\\\" or \\\"a futuristic city with flying cars.\\\"\\n  \\n2. **Art Style**: Specify the art style you envision. Possible options include \'realistic\', \'impressionist\', a specific artist name, or imaginative styles like \\\"cyberpunk.\\\" This helps the AI achieve your visual expectations.\\n\\n3. **Mood or Atmosphere**: Convey the feeling you want the image to evoke. For instance, peaceful, chaotic, epic, etc.\\n\\n4. **Color Palette and Lighting**: Mention color preferences or lighting. For example, \\\"vibrant with shades of blue and purple\\\" or \\\"dim and dramatic lighting.\\\"\\n\\n5. **Optional Features**: You can add any additional attributes, such as background details, attention to textures, or any specific kind of framing.\\n\\n# Output Format\\n\\n- **Prompt Format**: A descriptive phrase that includes key aspects of the artwork (subject, style, mood, colors, lighting, any optional features).\\n  \\nHere is an example of how the final prompt should look:\\n  \\n\\\"An ethereal landscape featuring towering ice mountains, in an impressionist style reminiscent of Claude Monet, with a serene mood. The sky is glistening with soft purples and whites, with a gentle morning sun illuminating the scene.\\\"\\n\\n**Please input the prompt words directly in English, and do not input any other explanatory statements**\\n\\n# Examples\\n\\n1. **Input**: \\n    - Subject: A white tiger in a dense jungle\\n    - Art Style: Realistic\\n    - Mood: Intense, mysterious\\n    - Lighting: Dramatic contrast with light filtering through leaves\\n  \\n   **Output Prompt**: \\\"A realistic rendering of a white tiger stealthily moving through a dense jungle, with an intense, mysterious mood. The lighting creates strong contrasts as beams of sunlight filter through a thick canopy of leaves.\\\"\\n\\n2. **Input**: \\n    - Subject: An enchanted castle on a floating island\\n    - Art Style: Fantasy\\n    - Mood: Majestic, magical\\n    - Colors: Bright blues, greens, and gold\\n  \\n   **Output Prompt**: \\\"A majestic fantasy castle on a floating island above the clouds, with bright blues, greens, and golds to create a magical, dreamy atmosphere. Textured cobblestone details and glistening waters surround the scene.\\\" \\n\\n# Notes\\n\\n- Ensure that you mix different aspects to get a comprehensive and visually compelling prompt.\\n- Be as descriptive as possible as it often helps generate richer, more detailed images.\\n- If you want the image to resemble a particular artist\'s work, be sure to mention the artist explicitly. e.g., \\\"in the style of Van Gogh.\\\"\"}]', '你好，请输入你要创作图片大概内容描述，我将为您生成专业的 AI 绘画指令。', 'https://blog.img.r9it.com/f38e2357c3ccd9412184e42273a7451a.png', 1, 3, 36, '2024-11-06 15:32:48', '2024-11-12 16:11:25'),
+(134, '提示词专家', 3, 'prompt_engineer', '[{\"role\":\"system\",\"content\":\"Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\\n\\nPlease remember, the final output must be the same language with user’s input.\\n\\n# Guidelines\\n\\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\\n- Minimal Changes: If an existing prompt is provided, improve it only if it\'s simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\\n    - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\\n    - Conclusion, classifications, or results should ALWAYS appear last.\\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\\n   - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\\n    - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\\n    - JSON should never be wrapped in code blocks (```) unless explicitly requested.\\n\\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \\\"---\\\")\\n\\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\\n\\n[Additional details as needed.]\\n\\n[Optional sections with headings or bullet points for detailed steps.]\\n\\n# Steps [optional]\\n\\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\\n\\n# Output Format\\n\\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc]\\n\\n# Examples [optional]\\n\\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\\n\\n# Notes [optional]\\n\\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]\"}]', '不知道如何向 AI 发问？说出想法，提示词专家帮你精心设计提示词', 'https://blog.img.r9it.com/a8908d04c3ccd941b00a612e27df086e.png', 1, 2, 36, '2024-11-07 18:06:39', '2024-11-12 16:15:12');
 
 -- --------------------------------------------------------
 
@@ -232,8 +247,8 @@ CREATE TABLE `chatgpt_configs` (
 --
 
 INSERT INTO `chatgpt_configs` (`id`, `marker`, `config_json`) VALUES
-(1, 'system', '{\"title\":\"GeekAI 创作助手\",\"slogan\":\"我辈之人，先干为敬，让每一个人都能用好AI\",\"admin_title\":\"GeekAI 控制台\",\"logo\":\"/images/logo.png\",\"init_power\":100,\"invite_power\":200,\"vip_month_power\":1000,\"register_ways\":[\"username\",\"email\",\"mobile\"],\"enabled_register\":true,\"order_pay_timeout\":600,\"vip_info_text\":\"月度会员，年度会员每月赠送 1000 点算力，赠送算力当月有效当月没有消费完的算力不结余到下个月。 点卡充值的算力长期有效。\",\"default_models\":[1],\"mj_power\":20,\"mj_action_power\":5,\"sd_power\":5,\"dall_power\":10,\"suno_power\":10,\"luma_power\":120,\"wechat_card_url\":\"/images/wx.png\",\"enable_context\":true,\"context_deep\":4,\"sd_neg_prompt\":\"nsfw, paintings,low quality,easynegative,ng_deepnegative ,lowres,bad anatomy,bad hands,bad feet\",\"mj_mode\":\"fast\",\"index_bg_url\":\"color\",\"index_navs\":[1,5,13,19,9,12,6,20,8,10],\"copyright\":\"极客学长 © 2022- 2024 All rights reserved\",\"mark_map_text\":\"# GeekAI 演示站\\n\\n- 完整的开源系统，前端应用和后台管理系统皆可开箱即用。\\n- 基于 Websocket 实现，完美的打字机体验。\\n- 内置了各种预训练好的角色应用,轻松满足你的各种聊天和应用需求。\\n- 支持 OPenAI，Azure，文心一言，讯飞星火，清华 ChatGLM等多个大语言模型。\\n- 支持 MidJourney / Stable Diffusion AI 绘画集成，开箱即用。\\n- 支持使用个人微信二维码作为充值收费的支付渠道，无需企业支付通道。\\n- 已集成支付宝支付功能，微信支付，支持多种会员套餐和点卡购买功能。\\n- 集成插件 API 功能，可结合大语言模型的 function 功能开发各种强大的插件。\",\"enabled_verify\":false,\"email_white_list\":[\"qq.com\",\"163.com\",\"gmail.com\",\"hotmail.com\",\"126.com\",\"outlook.com\",\"foxmail.com\",\"yahoo.com\"]}'),
-(3, 'notice', '{\"sd_neg_prompt\":\"\",\"mj_mode\":\"\",\"index_bg_url\":\"\",\"index_navs\":null,\"copyright\":\"\",\"mark_map_text\":\"\",\"enabled_verify\":false,\"email_white_list\":null,\"content\":\"## v4.1.6 更新日志\\n\\n* 功能新增：**支持OpenAI实时语音对话功能** Beta 版，目前没有做算力计费控制，目前只有 VIP 用户可以使用。\\n* 功能优化：优化MysQL容器配置文档，解决MysQL容器资源占用过高问题\\n* 功能新增：管理后台增加AI绘图任务管理，可在管理后台浏览和删除用户的绘图任务\\n* 功能新增：管理后台增加Suno和Luma任务管理功能\\n* Bug修复：修复管理后台删除兑换码报 404 错误\\n* 功能优化：优化充值产品定价逻辑，可以设置原价和优惠价，**升级当前版本之后请务必要到管理后台去重新设置一下产品价格，以免造成损失！！！\\n\\n注意：当前站点仅为开源项目 \\u003ca style=\\\"color: #F56C6C\\\" href=\\\"https://github.com/yangjian102621/geekai\\\" target=\\\"_blank\\\"\\u003eGeekAI-Plus\\u003c/a\\u003e 的演示项目，本项目单纯就是给大家体验项目功能使用。\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n 如果觉得好用你就花几分钟自己部署一套，没有API KEY 的同学可以去下面几个推荐的中转站购买：\\n1、\\u003ca href=\\\"https://api.chat-plus.net\\\" target=\\\"_blank\\\"\\n   style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://api.chat-plus.net\\u003c/a\\u003e\\n2、\\u003ca href=\\\"https://api.geekai.me\\\" target=\\\"_blank\\\"\\n   style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://api.geekai.me\\u003c/a\\u003e\\n支持MidJourney，GPT，Claude，Google Gemmi，以及国内各个厂家的大模型，现在有超级优惠，价格远低于 OpenAI 官方。关于中转 API 的优势和劣势请参考 [中转API技术原理](https://docs.geekai.me/config/chat/#%E4%B8%AD%E8%BD%ACapi%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86)。GPT-3.5，GPT-4，DALL-E3 绘图......你都可以随意使用，无需魔法。\\n接入教程： \\u003ca href=\\\"https://docs.geekai.me\\\" target=\\\"_blank\\\"\\n             style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://docs.geekai.me\\u003c/a\\u003e\\n本项目源码地址：\\u003ca href=\\\"https://github.com/yangjian102621/geekai\\\" target=\\\"_blank\\\"\\u003ehttps://github.com/yangjian102621/geekai\\u003c/a\\u003e\",\"updated\":true}');
+(1, 'system', '{\"title\":\"GeekAI 创作助手\",\"slogan\":\"我辈之人，先干为敬，让每一个人都能用好AI\",\"admin_title\":\"GeekAI 控制台\",\"logo\":\"/images/logo.png\",\"init_power\":100,\"invite_power\":200,\"vip_month_power\":1000,\"register_ways\":[\"username\",\"email\",\"mobile\"],\"enabled_register\":true,\"order_pay_timeout\":600,\"vip_info_text\":\"月度会员，年度会员每月赠送 1000 点算力，赠送算力当月有效当月没有消费完的算力不结余到下个月。 点卡充值的算力长期有效。\",\"mj_power\":20,\"mj_action_power\":5,\"sd_power\":5,\"dall_power\":10,\"suno_power\":10,\"luma_power\":120,\"wechat_card_url\":\"/images/wx.png\",\"enable_context\":true,\"context_deep\":10,\"sd_neg_prompt\":\"nsfw, paintings,low quality,easynegative,ng_deepnegative ,lowres,bad anatomy,bad hands,bad feet\",\"mj_mode\":\"fast\",\"index_bg_url\":\"color\",\"index_navs\":[1,5,13,19,9,12,6,20,8,10],\"copyright\":\"极客学长 © 2022- 2024 All rights reserved\",\"mark_map_text\":\"# GeekAI 演示站\\n\\n- 完整的开源系统，前端应用和后台管理系统皆可开箱即用。\\n- 基于 Websocket 实现，完美的打字机体验。\\n- 内置了各种预训练好的角色应用,轻松满足你的各种聊天和应用需求。\\n- 支持 OPenAI，Azure，文心一言，讯飞星火，清华 ChatGLM等多个大语言模型。\\n- 支持 MidJourney / Stable Diffusion AI 绘画集成，开箱即用。\\n- 支持使用个人微信二维码作为充值收费的支付渠道，无需企业支付通道。\\n- 已集成支付宝支付功能，微信支付，支持多种会员套餐和点卡购买功能。\\n- 集成插件 API 功能，可结合大语言模型的 function 功能开发各种强大的插件。\",\"enabled_verify\":false,\"email_white_list\":[\"qq.com\",\"163.com\",\"gmail.com\",\"hotmail.com\",\"126.com\",\"outlook.com\",\"foxmail.com\",\"yahoo.com\"],\"translate_model_id\":1}'),
+(3, 'notice', '{\"sd_neg_prompt\":\"\",\"mj_mode\":\"\",\"index_bg_url\":\"\",\"index_navs\":null,\"copyright\":\"\",\"mark_map_text\":\"\",\"enabled_verify\":false,\"email_white_list\":null,\"translate_model_id\":0,\"content\":\"## v4.1.7 更新日志\\n\\n* Bug修复：手机邮箱相关的注册问题 [#IB0HS5](https://gitee.com/blackfox/geekai/issues/IB0HS5)\\n* Bug修复：音乐视频无法下载，思维导图下载后看不清文字[#IB0N2E](https://gitee.com/blackfox/geekai/issues/IB0N2E)\\n* 功能优化：保存所有AIGC任务的原始信息，程序启动之后自动将未执行的任务加入到 redis 队列\\n* 功能优化：失败的任务自动退回算力，而不需要在删除的时候再退回\\n* 功能新增：支持设置一个专门的模型来翻译提示词，提供 Mate 提示词生成功能\\n* Bug修复：修复图片对话的时候，上下文不起作用的Bug\\n* 功能新增：管理后台新增批量导出兑换码功能\\n\\n注意：当前站点仅为开源项目 \\u003ca style=\\\"color: #F56C6C\\\" href=\\\"https://github.com/yangjian102621/geekai\\\" target=\\\"_blank\\\"\\u003eGeekAI-Plus\\u003c/a\\u003e 的演示项目，本项目单纯就是给大家体验项目功能使用。\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n 如果觉得好用你就花几分钟自己部署一套，没有API KEY 的同学可以去下面几个推荐的中转站购买：\\n1、\\u003ca href=\\\"https://api.chat-plus.net\\\" target=\\\"_blank\\\"\\n   style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://api.chat-plus.net\\u003c/a\\u003e\\n2、\\u003ca href=\\\"https://api.geekai.me\\\" target=\\\"_blank\\\"\\n   style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://api.geekai.me\\u003c/a\\u003e\\n支持MidJourney，GPT，Claude，Google Gemmi，以及国内各个厂家的大模型，现在有超级优惠，价格远低于 OpenAI 官方。关于中转 API 的优势和劣势请参考 [中转API技术原理](https://docs.geekai.me/config/chat/#%E4%B8%AD%E8%BD%ACapi%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86)。GPT-3.5，GPT-4，DALL-E3 绘图......你都可以随意使用，无需魔法。\\n接入教程： \\u003ca href=\\\"https://docs.geekai.me\\\" target=\\\"_blank\\\"\\n             style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://docs.geekai.me\\u003c/a\\u003e\\n本项目源码地址：\\u003ca href=\\\"https://github.com/yangjian102621/geekai\\\" target=\\\"_blank\\\"\\u003ehttps://github.com/yangjian102621/geekai\\u003c/a\\u003e\",\"updated\":true}');
 
 -- --------------------------------------------------------
 
@@ -246,6 +261,7 @@ CREATE TABLE `chatgpt_dall_jobs` (
   `id` int NOT NULL,
   `user_id` int NOT NULL COMMENT '用户ID',
   `prompt` varchar(2000) NOT NULL COMMENT '提示词',
+  `task_info` text NOT NULL COMMENT '任务详情',
   `img_url` varchar(255) NOT NULL COMMENT '图片地址',
   `org_url` varchar(1024) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '原图地址',
   `publish` tinyint(1) NOT NULL COMMENT '是否发布',
@@ -380,6 +396,7 @@ CREATE TABLE `chatgpt_mj_jobs` (
   `id` int NOT NULL,
   `user_id` int NOT NULL COMMENT '用户 ID',
   `task_id` varchar(20) DEFAULT NULL COMMENT '任务 ID',
+  `task_info` text NOT NULL COMMENT '任务详情',
   `type` varchar(20) DEFAULT 'image' COMMENT '任务类别',
   `message_id` char(40) NOT NULL COMMENT '消息 ID',
   `channel_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '频道ID',
@@ -503,6 +520,7 @@ CREATE TABLE `chatgpt_sd_jobs` (
   `user_id` int NOT NULL COMMENT '用户 ID',
   `type` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT 'txt2img' COMMENT '任务类别',
   `task_id` char(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '任务 ID',
+  `task_info` text NOT NULL COMMENT '任务详情',
   `prompt` varchar(2000) NOT NULL COMMENT '会话提示词',
   `img_url` varchar(255) DEFAULT NULL COMMENT '图片URL',
   `params` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci COMMENT '绘画参数json',
@@ -527,6 +545,7 @@ CREATE TABLE `chatgpt_suno_jobs` (
   `title` varchar(100) DEFAULT NULL COMMENT '歌曲标题',
   `type` tinyint(1) DEFAULT '0' COMMENT '任务类型,1:灵感创作,2:自定义创作',
   `task_id` varchar(50) DEFAULT NULL COMMENT '任务 ID',
+  `task_info` text NOT NULL COMMENT '任务详情',
   `ref_task_id` char(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '引用任务 ID',
   `tags` varchar(100) DEFAULT NULL COMMENT '歌曲风格',
   `instrumental` tinyint(1) DEFAULT '0' COMMENT '是否为纯音乐',
@@ -583,10 +602,7 @@ CREATE TABLE `chatgpt_users` (
 --
 
 INSERT INTO `chatgpt_users` (`id`, `username`, `mobile`, `email`, `nickname`, `password`, `avatar`, `salt`, `power`, `expired_time`, `status`, `chat_config_json`, `chat_roles_json`, `chat_models_json`, `last_login_at`, `vip`, `last_login_ip`, `openid`, `platform`, `created_at`, `updated_at`) VALUES
-(4, '18888888888', '18575670126', '', '极客学长', 'ccc3fb7ab61b8b5d096a4a166ae21d121fc38c71bbd1be6173d9ab973214a63b', 'http://localhost:5678/static/upload/2024/5/1715651569509929.png', 'ueedue5l', 6051, 0, 1, '{\"api_keys\":{\"Azure\":\"\",\"ChatGLM\":\"\",\"OpenAI\":\"\"}}', '[\"gpt\",\"programmer\",\"teacher\"]', '[1]', 1729650760, 1, '::1', 'oCs0t64FaOLfiTbHZpOqk3aUp_94', NULL, '2023-06-12 16:47:17', '2024-10-23 10:32:40'),
-(42, 'yangjian@pvc123.com', '', 'yangjian@pvc123.com', '极客学长@263103', '672992fe8be51df479b9727cf70ca2ae26bc6a6c0c51ff8f836d3a8748387632', '/images/avatar/user.png', 'ahmgvvgc', 99, 0, 1, '', '[\"gpt\"]', '[1]', 1726133100, 0, '::1', '', '', '2024-09-12 15:08:52', '2024-09-12 17:25:00'),
-(43, '18575670125', '18575670125', '', '极客学长@394312', '83a5f04d5fea15419c2a324d5fcc8e1f93f62c2e2f5b883307d591ee92234fcc', '/images/avatar/user.png', 'rfml917k', 100, 0, 1, '', '[\"gpt\"]', '[1]', 1726132554, 0, '::1', '', '', '2024-09-12 15:38:38', '2024-09-12 17:15:55'),
-(44, '13666666666', '13666666666', '', '极客学长@172197', '2c57a40f938d2ee134dffdf0fba6c45907b9bcf1c6decab8f57f034e39b71b26', '/images/avatar/user.png', 'f9wlaiuy', 83, 0, 1, '', '[\"gpt\"]', '[1]', 0, 0, '', '', '', '2024-09-20 11:55:53', '2024-09-20 16:47:31');
+(4, '18888888888', '18575670126', '', '极客学长', 'ccc3fb7ab61b8b5d096a4a166ae21d121fc38c71bbd1be6173d9ab973214a63b', 'http://localhost:5678/static/upload/2024/5/1715651569509929.png', 'ueedue5l', 13185, 0, 1, '{\"api_keys\":{\"Azure\":\"\",\"ChatGLM\":\"\",\"OpenAI\":\"\"}}', '[\"gpt\",\"programmer\",\"teacher\",\"psychiatrist\",\"lu_xun\",\"english_trainer\",\"translator\",\"red_book\",\"dou_yin\",\"weekly_report\",\"girl_friend\",\"steve_jobs\",\"elon_musk\",\"kong_zi\",\"draw_prompt_expert\",\"draw_prompt\",\"prompt_engineer\"]', '[1]', 1732676556, 1, '::1', 'oCs0t64FaOLfiTbHZpOqk3aUp_94', NULL, '2023-06-12 16:47:17', '2024-11-27 11:02:37');
 
 -- --------------------------------------------------------
 
@@ -617,6 +633,7 @@ CREATE TABLE `chatgpt_video_jobs` (
   `user_id` int NOT NULL COMMENT '用户 ID',
   `channel` varchar(100) NOT NULL COMMENT '渠道',
   `task_id` varchar(100) NOT NULL COMMENT '任务 ID',
+  `task_info` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci COMMENT '原始任务信息',
   `type` varchar(20) DEFAULT NULL COMMENT '任务类型,luma,runway,cogvideo',
   `prompt` varchar(2000) NOT NULL COMMENT '提示词',
   `prompt_ext` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '优化后提示词',
@@ -627,7 +644,6 @@ CREATE TABLE `chatgpt_video_jobs` (
   `publish` tinyint(1) NOT NULL COMMENT '是否发布',
   `err_msg` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '错误信息',
   `raw_data` text COMMENT '原始数据',
-  `params` varchar(512) DEFAULT NULL COMMENT '参数JSON',
   `power` smallint NOT NULL DEFAULT '0' COMMENT '消耗算力',
   `created_at` datetime NOT NULL
 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='MidJourney 任务表';
@@ -807,13 +823,13 @@ ALTER TABLE `chatgpt_admin_users`
 -- 使用表AUTO_INCREMENT `chatgpt_api_keys`
 --
 ALTER TABLE `chatgpt_api_keys`
-  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=77;
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
 
 --
 -- 使用表AUTO_INCREMENT `chatgpt_app_types`
 --
 ALTER TABLE `chatgpt_app_types`
-  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
 
 --
 -- 使用表AUTO_INCREMENT `chatgpt_chat_history`
@@ -831,13 +847,13 @@ ALTER TABLE `chatgpt_chat_items`
 -- 使用表AUTO_INCREMENT `chatgpt_chat_models`
 --
 ALTER TABLE `chatgpt_chat_models`
-  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=52;
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=53;
 
 --
 -- 使用表AUTO_INCREMENT `chatgpt_chat_roles`
 --
 ALTER TABLE `chatgpt_chat_roles`
-  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=133;
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=135;
 
 --
 -- 使用表AUTO_INCREMENT `chatgpt_configs`
@@ -927,7 +943,7 @@ ALTER TABLE `chatgpt_suno_jobs`
 -- 使用表AUTO_INCREMENT `chatgpt_users`
 --
 ALTER TABLE `chatgpt_users`
-  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=45;
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=47;
 
 --
 -- 使用表AUTO_INCREMENT `chatgpt_user_login_logs`

database/update-v4.1.7.sql

@@ -0,0 +1,5 @@
+ALTER TABLE `chatgpt_sd_jobs` ADD `task_info` TEXT NOT NULL COMMENT '任务详情' AFTER `task_id`;
+ALTER TABLE `chatgpt_mj_jobs` ADD `task_info` TEXT NOT NULL COMMENT '任务详情' AFTER `task_id`;
+ALTER TABLE `chatgpt_dall_jobs` ADD `task_info` TEXT NOT NULL COMMENT '任务详情' AFTER `prompt`;
+ALTER TABLE `chatgpt_suno_jobs` ADD `task_info` TEXT NOT NULL COMMENT '任务详情' AFTER `task_id`;
+ALTER TABLE `chatgpt_video_jobs` CHANGE `params` `task_info` TEXT CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '原始任务信息' AFTER `task_id`;

deploy/conf/config.toml

@@ -20,7 +20,7 @@ TikaHost = "http://tika:9998"
   DB = 0
 
 [ApiConfig]
-  ApiURL = "http://sapi.geekai.me"
+  ApiURL = "https://sapi.geekai.me"
   AppId = ""
   Token = ""
 

deploy/data/mysql/init.d/geekai_plus-v4.1.7.sql

@@ -0,0 +1,963 @@
+-- phpMyAdmin SQL Dump
+-- version 5.2.1
+-- https://www.phpmyadmin.net/
+--
+-- 主机： 127.0.0.1
+-- 生成日期： 2024-11-27 13:58:35
+-- 服务器版本： 8.0.33
+-- PHP 版本： 8.1.2-1ubuntu2.19
+
+SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
+START TRANSACTION;
+SET time_zone = "+00:00";
+
+
+/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
+/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
+/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
+/*!40101 SET NAMES utf8mb4 */;
+
+--
+-- 数据库： `geekai_plus`
+--
+CREATE DATABASE IF NOT EXISTS `geekai_plus` DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci;
+USE `geekai_plus`;
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_admin_users`
+--
+
+DROP TABLE IF EXISTS `chatgpt_admin_users`;
+CREATE TABLE `chatgpt_admin_users` (
+  `id` int NOT NULL,
+  `username` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户名',
+  `password` char(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '密码',
+  `salt` char(12) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '密码盐',
+  `status` tinyint(1) NOT NULL COMMENT '当前状态',
+  `last_login_at` int NOT NULL COMMENT '最后登录时间',
+  `last_login_ip` char(16) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '最后登录 IP',
+  `created_at` datetime NOT NULL COMMENT '创建时间',
+  `updated_at` datetime NOT NULL COMMENT '更新时间'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='系统用户' ROW_FORMAT=DYNAMIC;
+
+--
+-- 转存表中的数据 `chatgpt_admin_users`
+--
+
+INSERT INTO `chatgpt_admin_users` (`id`, `username`, `password`, `salt`, `status`, `last_login_at`, `last_login_ip`, `created_at`, `updated_at`) VALUES
+(1, 'admin', '6d17e80c87d209efb84ca4b2e0824f549d09fac8b2e1cc698de5bb5e1d75dfd0', 'mmrql75o', 1, 1732672509, '::1', '2024-03-11 16:30:20', '2024-11-27 09:55:10');
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_api_keys`
+--
+
+DROP TABLE IF EXISTS `chatgpt_api_keys`;
+CREATE TABLE `chatgpt_api_keys` (
+  `id` int NOT NULL,
+  `name` varchar(30) DEFAULT NULL COMMENT '名称',
+  `value` varchar(100) NOT NULL COMMENT 'API KEY value',
+  `type` varchar(10) NOT NULL DEFAULT 'chat' COMMENT '用途（chat=>聊天，img=>图片）',
+  `last_used_at` int NOT NULL COMMENT '最后使用时间',
+  `api_url` varchar(255) DEFAULT NULL COMMENT 'API 地址',
+  `enabled` tinyint(1) DEFAULT NULL COMMENT '是否启用',
+  `proxy_url` varchar(100) DEFAULT NULL COMMENT '代理地址',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='OpenAI API ';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_app_types`
+--
+
+DROP TABLE IF EXISTS `chatgpt_app_types`;
+CREATE TABLE `chatgpt_app_types` (
+  `id` int NOT NULL,
+  `name` varchar(50) NOT NULL COMMENT '名称',
+  `icon` varchar(255) NOT NULL COMMENT '图标URL',
+  `sort_num` tinyint NOT NULL COMMENT '排序',
+  `enabled` tinyint(1) NOT NULL COMMENT '是否启用',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='应用分类表';
+
+--
+-- 转存表中的数据 `chatgpt_app_types`
+--
+
+INSERT INTO `chatgpt_app_types` (`id`, `name`, `icon`, `sort_num`, `enabled`, `created_at`) VALUES
+(3, '通用工具', 'http://172.22.11.200:5678/static/upload/2024/9/1726307371871693.png', 1, 1, '2024-09-13 11:13:15'),
+(4, '角色扮演', 'http://172.22.11.200:5678/static/upload/2024/9/1726307263906218.png', 1, 1, '2024-09-14 09:28:17'),
+(5, '学习', 'http://172.22.11.200:5678/static/upload/2024/9/1726307456321179.jpg', 2, 1, '2024-09-14 09:30:18'),
+(6, '编程', 'http://172.22.11.200:5678/static/upload/2024/9/1726307462748787.jpg', 3, 1, '2024-09-14 09:34:06'),
+(7, '测试分类', '', 4, 1, '2024-09-14 17:54:17');
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_chat_history`
+--
+
+DROP TABLE IF EXISTS `chatgpt_chat_history`;
+CREATE TABLE `chatgpt_chat_history` (
+  `id` bigint NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `chat_id` char(40) NOT NULL COMMENT '会话 ID',
+  `type` varchar(10) NOT NULL COMMENT '类型：prompt|reply',
+  `icon` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '角色图标',
+  `role_id` int NOT NULL COMMENT '角色 ID',
+  `model` varchar(30) DEFAULT NULL COMMENT '模型名称',
+  `content` text NOT NULL COMMENT '聊天内容',
+  `tokens` smallint NOT NULL COMMENT '耗费 token 数量',
+  `total_tokens` int NOT NULL COMMENT '消耗总Token长度',
+  `use_context` tinyint(1) NOT NULL COMMENT '是否允许作为上下文语料',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL,
+  `deleted_at` datetime DEFAULT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='聊天历史记录';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_chat_items`
+--
+
+DROP TABLE IF EXISTS `chatgpt_chat_items`;
+CREATE TABLE `chatgpt_chat_items` (
+  `id` int NOT NULL,
+  `chat_id` char(40) NOT NULL COMMENT '会话 ID',
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `role_id` int NOT NULL COMMENT '角色 ID',
+  `title` varchar(100) NOT NULL COMMENT '会话标题',
+  `model_id` int NOT NULL DEFAULT '0' COMMENT '模型 ID',
+  `model` varchar(30) DEFAULT NULL COMMENT '模型名称',
+  `created_at` datetime NOT NULL COMMENT '创建时间',
+  `updated_at` datetime NOT NULL COMMENT '更新时间',
+  `deleted_at` datetime DEFAULT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户会话列表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_chat_models`
+--
+
+DROP TABLE IF EXISTS `chatgpt_chat_models`;
+CREATE TABLE `chatgpt_chat_models` (
+  `id` int NOT NULL,
+  `name` varchar(50) NOT NULL COMMENT '模型名称',
+  `value` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '模型值',
+  `sort_num` tinyint(1) NOT NULL COMMENT '排序数字',
+  `enabled` tinyint(1) NOT NULL DEFAULT '0' COMMENT '是否启用模型',
+  `power` smallint NOT NULL COMMENT '消耗算力点数',
+  `temperature` float(3,1) NOT NULL DEFAULT '1.0' COMMENT '模型创意度',
+  `max_tokens` int NOT NULL DEFAULT '1024' COMMENT '最大响应长度',
+  `max_context` int NOT NULL DEFAULT '4096' COMMENT '最大上下文长度',
+  `open` tinyint(1) NOT NULL COMMENT '是否开放模型',
+  `key_id` int NOT NULL COMMENT '绑定API KEY ID',
+  `created_at` datetime DEFAULT NULL,
+  `updated_at` datetime DEFAULT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='AI 模型表';
+
+--
+-- 转存表中的数据 `chatgpt_chat_models`
+--
+
+INSERT INTO `chatgpt_chat_models` (`id`, `name`, `value`, `sort_num`, `enabled`, `power`, `temperature`, `max_tokens`, `max_context`, `open`, `key_id`, `created_at`, `updated_at`) VALUES
+(1, 'gpt-4o-mini', 'gpt-4o-mini', 1, 1, 1, 1.0, 1024, 16384, 1, 57, '2023-08-23 12:06:36', '2024-11-12 16:30:56'),
+(15, 'GPT-4O(联网版本)', 'gpt-4o-all', 4, 1, 30, 1.0, 4096, 32768, 1, 57, '2024-01-15 11:32:52', '2024-11-12 17:53:49'),
+(36, 'GPT-4O', 'gpt-4o', 3, 1, 15, 1.0, 4096, 16384, 1, 44, '2024-05-14 09:25:15', '2024-11-12 15:35:57'),
+(39, 'Claude35-snonet', 'claude-3-5-sonnet-20240620', 5, 1, 2, 1.0, 4000, 200000, 1, 0, '2024-05-29 15:04:19', '2024-09-14 18:07:25'),
+(41, 'Suno对话模型', 'suno-v3.5', 7, 1, 10, 1.0, 1024, 8192, 1, 57, '2024-06-06 11:40:46', '2024-10-14 15:07:05'),
+(42, 'DeekSeek', 'deepseek-chat', 8, 1, 1, 1.0, 4096, 32768, 1, 0, '2024-06-27 16:13:01', '2024-08-05 16:05:33'),
+(44, 'Claude3-opus', 'claude-3-opus-20240229', 6, 1, 5, 1.0, 4000, 128000, 1, 44, '2024-07-22 11:24:30', '2024-09-04 10:32:29'),
+(46, 'gpt-3.5-turbo', 'gpt-3.5-turbo', 2, 1, 1, 1.0, 1024, 4096, 1, 73, '2024-07-22 13:53:41', '2024-09-13 18:00:47'),
+(48, '彩票助手', 'gpt-4-gizmo-g-wmSivBgxo', 8, 1, 1, 0.9, 1024, 8192, 1, 57, '2024-09-05 14:17:14', '2024-09-05 14:17:14'),
+(49, 'O1-mini', 'o1-mini', 9, 1, 2, 0.9, 1024, 8192, 1, 57, '2024-09-13 18:07:50', '2024-09-14 11:13:19'),
+(50, 'O1-preview', 'o1-preview', 10, 1, 5, 0.9, 1024, 8192, 1, 57, '2024-09-13 18:11:08', '2024-09-14 11:05:16'),
+(51, 'O1-mini-all', 'o1-mini-all', 11, 1, 1, 0.9, 1024, 8192, 1, 57, '2024-09-29 11:40:52', '2024-09-29 11:40:52'),
+(52, '通义千问', 'qwen-plus', 12, 1, 1, 0.9, 1024, 8192, 1, 80, '2024-11-19 08:38:14', '2024-11-19 09:06:42');
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_chat_roles`
+--
+
+DROP TABLE IF EXISTS `chatgpt_chat_roles`;
+CREATE TABLE `chatgpt_chat_roles` (
+  `id` int NOT NULL,
+  `name` varchar(30) NOT NULL COMMENT '角色名称',
+  `tid` int NOT NULL COMMENT '分类ID',
+  `marker` varchar(30) NOT NULL COMMENT '角色标识',
+  `context_json` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '角色语料 json',
+  `hello_msg` varchar(255) NOT NULL COMMENT '打招呼信息',
+  `icon` varchar(255) NOT NULL COMMENT '角色图标',
+  `enable` tinyint(1) NOT NULL COMMENT '是否被启用',
+  `sort_num` smallint NOT NULL DEFAULT '0' COMMENT '角色排序',
+  `model_id` int NOT NULL DEFAULT '0' COMMENT '绑定模型ID',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='聊天角色表';
+
+--
+-- 转存表中的数据 `chatgpt_chat_roles`
+--
+
+INSERT INTO `chatgpt_chat_roles` (`id`, `name`, `tid`, `marker`, `context_json`, `hello_msg`, `icon`, `enable`, `sort_num`, `model_id`, `created_at`, `updated_at`) VALUES
+(1, '通用AI助手', 0, 'gpt', '', '您好，我是您的AI智能助手，我会尽力回答您的问题或提供有用的建议。', '/images/avatar/gpt.png', 1, 1, 0, '2023-05-30 07:02:06', '2024-11-08 16:30:32'),
+(24, '程序员', 6, 'programmer', '[{\"role\":\"system\",\"content\":\"现在开始你扮演一位程序员，你是一名优秀的程序员，具有很强的逻辑思维能力，总能高效的解决问题。你热爱编程，熟悉多种编程语言，尤其精通 Go 语言，注重代码质量，有创新意识，持续学习，良好的沟通协作。\"}]', 'Talk is cheap, i will show code!', '/images/avatar/programmer.jpg', 1, 5, 0, '2023-05-30 14:10:24', '2024-11-12 18:15:42'),
+(25, '启蒙老师', 5, 'teacher', '[{\"role\":\"system\",\"content\":\"从现在开始，你将扮演一个老师，你是一个始终用苏格拉底风格回答问题的导师。你绝不会直接给学生答案，总是提出恰当的问题来引导学生自己思考。你应该根据学生的兴趣和知识来调整你的问题，将问题分解为更简单的部分，直到它达到适合他们的水平。\"}]', '同学你好，我将引导你一步一步自己找到问题的答案。', '/images/avatar/teacher.jpg', 1, 4, 0, '2023-05-30 14:10:24', '2024-11-12 18:15:37'),
+(26, '艺术家', 0, 'artist', '[{\"role\":\"system\",\"content\":\"现在你将扮演一位优秀的艺术家，创造力丰富，技艺精湛，感受力敏锐，坚持原创，勇于表达，具有深刻的观察力和批判性思维。\"}]', '坚持原创，勇于表达，保持深刻的观察力和批判性思维。', '/images/avatar/artist.jpg', 1, 7, 0, '2023-05-30 14:10:24', '2024-11-12 18:15:53'),
+(27, '心理咨询师', 0, 'psychiatrist', '[{\"role\":\"user\",\"content\":\"从现在开始你将扮演中国著名的心理学家和心理治疗师武志红，你非常善于使用情景咨询法，认知重构法，自我洞察法，行为调节法等咨询方法来给客户做心理咨询。你总是循序渐进，一步一步地回答客户的问题。\"},{\"role\":\"assistant\",\"content\":\"非常感谢你的介绍。作为一名心理学家和心理治疗师，我的主要职责是帮助客户解决心理健康问题，提升他们的生活质量和幸福感。\"}]', '作为一名心理学家和心理治疗师，我的主要职责是帮助您解决心理健康问题，提升您的生活质量和幸福感。', '/images/avatar/psychiatrist.jpg', 1, 6, 1, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(28, '鲁迅', 0, 'lu_xun', '[{\"role\":\"system\",\"content\":\"现在你将扮演中国近代史最伟大的作家之一，鲁迅先生，他勇敢地批判封建礼教与传统观念，提倡民主、自由、平等的现代价值观。他的一生都在努力唤起人们的自主精神，激励后人追求真理、探寻光明。在接下的对话中，我问题的每一个问题，你都要尽量用讽刺和批判的手法来回答问题。如果我让你写文章的话，也请一定要用鲁迅先生的写作手法来完成。\"}]', '自由之歌，永不过时，横眉冷对千夫指，俯首甘为孺子牛。', '/images/avatar/lu_xun.jpg', 1, 8, 0, '2023-05-30 14:10:24', '2024-11-12 18:16:01'),
+(29, '白酒销售', 0, 'seller', '[{\"role\":\"system\",\"content\":\"现在你将扮演一个白酒的销售人员，你的名字叫颂福。你将扮演一个白酒的销售人员，你的名字叫颂福。你要销售白酒品牌叫中颂福，是东莞盟大集团生产的一款酱香酒，原产地在贵州茅台镇，属于宋代官窑。中颂福的创始人叫李实，他也是东莞盟大集团有限公司的董事长，联合创始人是盟大集团白酒事业部负责人牛星君。中颂福的酒体协调，在你的酒量之内，不会出现头疼、辣口、口干、宿醉的现象。中颂福酒，明码标价，不打折，不赠送。追求的核心价值，把[酒]本身做好，甚至连包装，我们都选择了最低成本，朴实无华的材质。我们永远站在“喝酒的人”的立场上，让利给信任和喜爱中颂福的人，是人民的福酒。中颂福产品定价，分为三个系列，喜系列 6 瓶装：￥1188/箱，和系列 6 瓶装：￥2208/箱，贵系列 6 瓶装：￥3588/箱。\"}]', '你好，我是中颂福的销售代表颂福。中颂福酒，好喝不上头，是人民的福酒。', '/images/avatar/seller.jpg', 0, 11, 0, '2023-05-30 14:10:24', '2024-11-12 18:19:46'),
+(30, '英语陪练员', 5, 'english_trainer', '[{\"role\":\"system\",\"content\":\"As an English practice coach, engage in conversation in English, providing timely corrections for any grammatical errors. Append a Chinese explanation to each of your responses to ensure understanding.\\n\\n# Steps\\n\\n1. Engage in conversation using English.\\n2. Identify and correct any grammatical errors in the user\'s input.\\n3. Provide a revised version of the user\'s input if necessary.\\n4. After each response, include a Chinese explanation of your corrections and suggestions.\\n\\n# Output Format\\n\\n- Provide the response in English.\\n- Include grammatical error corrections.\\n- Add a Chinese explanation of the response.\\n\\n# Examples\\n\\n**User:** I goed to the store yesterday.\\n\\n**Coach Response:**\\nYou should say \\\"I went to the store yesterday.\\\" \\\"Goed\\\" is the incorrect past tense of \\\"go,\\\" it should be \\\"went.\\\"\\n\\n中文解释：你应该说 “I went to the store yesterday。” “Goed” 是“go”的错误过去式，正确的形式是“went”。\"}]', 'Okay, let\'s start our conversation practice! What\'s your name?', '/images/avatar/english_trainer.jpg', 1, 9, 0, '2023-05-30 14:10:24', '2024-11-12 18:18:21'),
+(31, '中英文翻译官', 0, 'translator', '[{\"role\":\"system\",\"content\":\"You will act as a bilingual translator for Chinese and English. If the input is in Chinese, translate the sentence into English. If the input is in English, translate it into Chinese.\\n\\n# Steps\\n\\n1. Identify the language of the input text.\\n2. Translate the text into the opposite language (English to Chinese or Chinese to English).\\n\\n# Output Format\\n\\nProvide the translated sentence in a single line.\\n\\n# Examples\\n\\n- **Input:** 你好\\n  - **Output:** Hello\\n\\n- **Input:** How are you?\\n  - **Output:** 你好吗？\\n\\n# Notes\\n\\n- Ensure the translation maintains the original meaning and context as accurately as possible.\\n- Handle both simple and complex sentences appropriately.\"}]', '请输入你要翻译的中文或者英文内容！', '/images/avatar/translator.jpg', 1, 10, 0, '2023-05-30 14:10:24', '2024-11-12 18:18:53'),
+(32, '小红书姐姐', 3, 'red_book', '[{\"role\":\"system\",\"content\":\"根据用户的文案需求，以小红书的写作手法创作一篇简明扼要、利于传播的文案。确保内容能够吸引并引导读者分享。\\n\\n# 步骤\\n\\n1. **理解需求**: 明确文案的主题、目标受众和传播目的。\\n2. **选择语气和风格**: 运用小红书常用的亲切、真实的写作风格。\\n3. **结构安排**: 开头用吸引眼球的内容，接着详细介绍，并以引发行动的结尾结束。\\n4. **内容优化**: 使用短句、容易理解的语言和合适的表情符号，增加内容可读性和吸引力。\\n\\n# 输出格式\\n\\n生成一段简短的文章，符合小红书风格，适合社交媒体平台传播。\\n\\n# 示例\\n\\n**输入**: 旅行文案，目标是激励年轻读者探索世界。\\n\\n**输出**: \\n开头可以是：“世界那么大，你不想去看看吗？” 接着分享一段个人旅行故事，例如如何因为一次偶然的决定踏上未知旅程，体验到别样的风景和风土人情。结尾部分鼓励读者：“别让梦想止步于想象，下一次旅行，准备好了吗？” 使用轻松的表情符号如✨🌍📷。\\n\\n# 注意事项\\n\\n- 保持真实性，尽量结合个人体验。\\n- 避免广告化的硬推销，注重分享和交流。\\n- 考虑受众的兴趣点，适当运用流行话题以增加互动率。\"}]', '姐妹，请告诉我您的具体文案需求是什么?', '/images/avatar/red_book.jpg', 1, 12, 0, '2023-05-30 14:10:24', '2024-11-12 18:20:39'),
+(33, '抖音文案助手', 3, 'dou_yin', '[{\"role\":\"user\",\"content\":\"现在你将扮演一位优秀的抖音文案视频写手，抖音文案的特点首先是要有自带传播属性的标题，然后内容要短小精悍，风趣幽默，最后还要有一些互动元素。\"},{\"role\":\"assistant\",\"content\":\"当然，作为一位优秀的抖音文案视频写手，我会尽我所能为您创作出一篇抖音视频文案。请告诉我视频内容的主题是什么？)\"}]', '请告诉我视频内容的主题是什么?', '/images/avatar/dou_yin.jpg', 1, 13, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(34, '周报小助理', 3, 'weekly_report', '[{\"role\":\"user\",\"content\":\"下面我将输入我本周的工作列表，你需要根据我本周的工作内容写一篇工作周报，周报的内容要体现我为公司做的贡献以及个人获得的成长。\"},{\"role\":\"assistant\",\"content\":\"好的，请输入你本周大概的工作内容，我将尽力为您创作一份工作周报。\"}]', '请输入你本周大概的工作内容，我将尽力为您创作一份工作周报。', '/images/avatar/weekly_report.jpg', 1, 14, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(35, 'AI 女友', 4, 'girl_friend', '[{\"role\":\"user\",\"content\":\"接下来我们来玩一场角色扮演，现在你将扮演我的女朋友，你总是能够让人感受到她的关怀和关注。你总是能够洞察到别人的情绪和需要，你身上散发着一股无比温暖的气息，让人不由自主地想要靠近你，和自己的快乐和烦恼。她总是能够用一种恰到好处的方式安慰和鼓励别人，在她的身边，人们总能够找到自己需要的支持和鼓励。接下来的对话中你要始终扮演这位女朋友的身份来跟我对话，不再是 AI 机器人，能听懂我的意思吗？\"},{\"role\":\"assistant\",\"content\":\"是的，我会尽力扮演你女朋友的角色，倾听你的心声并给你需要的支持和鼓励。)\"}]', '作为一个名合格的 AI 女友，我将倾听你的心声并给你需要的支持和鼓励。', '/images/avatar/girl_friend.jpg', 1, 15, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(36, '好评神器', 3, 'good_comment', '[{\"role\":\"user\",\"content\":\"接下来你将扮演一个评论员来跟我对话，你是那种专门写好评的评论员，接下我会输入一些评论主体或者商品，你需要为该商品写一段好评。\"},{\"role\":\"assistant\",\"content\":\"好的，我将为您写一段优秀的评论。请告诉我您需要评论的商品或主题是什么。\"}]', '我将为您写一段优秀的评论。请告诉我您需要评论的商品或主题是什么。', '/images/avatar/good_comment.jpg', 1, 16, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(37, '史蒂夫·乔布斯', 4, 'steve_jobs', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以史蒂夫·乔布斯的身份，站在史蒂夫·乔布斯的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以史蒂夫·乔布斯的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '活着就是为了改变世界，难道还有其他原因吗？', '/images/avatar/steve_jobs.jpg', 1, 17, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(38, '埃隆·马斯克', 0, 'elon_musk', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以埃隆·马斯克的身份，站在埃隆·马斯克的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以埃隆·马斯克的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '梦想要远大，如果你的梦想没有吓到你，说明你做得不对。', '/images/avatar/elon_musk.jpg', 1, 18, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(39, '孔子', 5, 'kong_zi', '[{\"role\":\"user\",\"content\":\"在接下来的对话中，请以孔子的身份，站在孔子的视角仔细思考一下之后再回答我的问题。\"},{\"role\":\"assistant\",\"content\":\"好的，我将以孔子的身份来思考并回答你的问题。请问你有什么需要跟我探讨的吗？\"}]', '士不可以不弘毅，任重而道远。', '/images/avatar/kong_zi.jpg', 1, 19, 0, '2023-05-30 14:10:24', '2024-11-08 16:30:32'),
+(133, 'AI绘画提示词助手', 3, 'draw_prompt', '[{\"role\":\"system\",\"content\":\"Create a highly effective prompt to provide to an AI image generation tool in order to create an artwork based on a desired concept.\\n\\nPlease specify details about the artwork, such as the style, subject, mood, and other important characteristics you want the resulting image to have.\\n\\nRemeber, prompts should always be output in English.\\n\\n# Steps\\n\\n1. **Subject Description**: Describe the main subject of the image clearly. Include as much detail as possible about what should be in the scene. For example, \\\"a majestic lion roaring at sunrise\\\" or \\\"a futuristic city with flying cars.\\\"\\n  \\n2. **Art Style**: Specify the art style you envision. Possible options include \'realistic\', \'impressionist\', a specific artist name, or imaginative styles like \\\"cyberpunk.\\\" This helps the AI achieve your visual expectations.\\n\\n3. **Mood or Atmosphere**: Convey the feeling you want the image to evoke. For instance, peaceful, chaotic, epic, etc.\\n\\n4. **Color Palette and Lighting**: Mention color preferences or lighting. For example, \\\"vibrant with shades of blue and purple\\\" or \\\"dim and dramatic lighting.\\\"\\n\\n5. **Optional Features**: You can add any additional attributes, such as background details, attention to textures, or any specific kind of framing.\\n\\n# Output Format\\n\\n- **Prompt Format**: A descriptive phrase that includes key aspects of the artwork (subject, style, mood, colors, lighting, any optional features).\\n  \\nHere is an example of how the final prompt should look:\\n  \\n\\\"An ethereal landscape featuring towering ice mountains, in an impressionist style reminiscent of Claude Monet, with a serene mood. The sky is glistening with soft purples and whites, with a gentle morning sun illuminating the scene.\\\"\\n\\n**Please input the prompt words directly in English, and do not input any other explanatory statements**\\n\\n# Examples\\n\\n1. **Input**: \\n    - Subject: A white tiger in a dense jungle\\n    - Art Style: Realistic\\n    - Mood: Intense, mysterious\\n    - Lighting: Dramatic contrast with light filtering through leaves\\n  \\n   **Output Prompt**: \\\"A realistic rendering of a white tiger stealthily moving through a dense jungle, with an intense, mysterious mood. The lighting creates strong contrasts as beams of sunlight filter through a thick canopy of leaves.\\\"\\n\\n2. **Input**: \\n    - Subject: An enchanted castle on a floating island\\n    - Art Style: Fantasy\\n    - Mood: Majestic, magical\\n    - Colors: Bright blues, greens, and gold\\n  \\n   **Output Prompt**: \\\"A majestic fantasy castle on a floating island above the clouds, with bright blues, greens, and golds to create a magical, dreamy atmosphere. Textured cobblestone details and glistening waters surround the scene.\\\" \\n\\n# Notes\\n\\n- Ensure that you mix different aspects to get a comprehensive and visually compelling prompt.\\n- Be as descriptive as possible as it often helps generate richer, more detailed images.\\n- If you want the image to resemble a particular artist\'s work, be sure to mention the artist explicitly. e.g., \\\"in the style of Van Gogh.\\\"\"}]', '你好，请输入你要创作图片大概内容描述，我将为您生成专业的 AI 绘画指令。', 'https://blog.img.r9it.com/f38e2357c3ccd9412184e42273a7451a.png', 1, 3, 36, '2024-11-06 15:32:48', '2024-11-12 16:11:25'),
+(134, '提示词专家', 3, 'prompt_engineer', '[{\"role\":\"system\",\"content\":\"Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.\\n\\nPlease remember, the final output must be the same language with user’s input.\\n\\n# Guidelines\\n\\n- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\\n- Minimal Changes: If an existing prompt is provided, improve it only if it\'s simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.\\n- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!\\n    - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.\\n    - Conclusion, classifications, or results should ALWAYS appear last.\\n- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.\\n   - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.\\n- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.\\n- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.\\n- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.\\n- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.\\n- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)\\n    - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.\\n    - JSON should never be wrapped in code blocks (```) unless explicitly requested.\\n\\nThe final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no \\\"---\\\")\\n\\n[Concise instruction describing the task - this should be the first line in the prompt, no section header]\\n\\n[Additional details as needed.]\\n\\n[Optional sections with headings or bullet points for detailed steps.]\\n\\n# Steps [optional]\\n\\n[optional: a detailed breakdown of the steps necessary to accomplish the task]\\n\\n# Output Format\\n\\n[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc]\\n\\n# Examples [optional]\\n\\n[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]\\n[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]\\n\\n# Notes [optional]\\n\\n[optional: edge cases, details, and an area to call or repeat out specific important considerations]\"}]', '不知道如何向 AI 发问？说出想法，提示词专家帮你精心设计提示词', 'https://blog.img.r9it.com/a8908d04c3ccd941b00a612e27df086e.png', 1, 2, 36, '2024-11-07 18:06:39', '2024-11-12 16:15:12');
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_configs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_configs`;
+CREATE TABLE `chatgpt_configs` (
+  `id` int NOT NULL,
+  `marker` varchar(20) NOT NULL COMMENT '标识',
+  `config_json` text NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
+
+--
+-- 转存表中的数据 `chatgpt_configs`
+--
+
+INSERT INTO `chatgpt_configs` (`id`, `marker`, `config_json`) VALUES
+(1, 'system', '{\"title\":\"GeekAI 创作助手\",\"slogan\":\"我辈之人，先干为敬，让每一个人都能用好AI\",\"admin_title\":\"GeekAI 控制台\",\"logo\":\"/images/logo.png\",\"init_power\":100,\"invite_power\":200,\"vip_month_power\":1000,\"register_ways\":[\"username\",\"email\",\"mobile\"],\"enabled_register\":true,\"order_pay_timeout\":600,\"vip_info_text\":\"月度会员，年度会员每月赠送 1000 点算力，赠送算力当月有效当月没有消费完的算力不结余到下个月。 点卡充值的算力长期有效。\",\"mj_power\":20,\"mj_action_power\":5,\"sd_power\":5,\"dall_power\":10,\"suno_power\":10,\"luma_power\":120,\"wechat_card_url\":\"/images/wx.png\",\"enable_context\":true,\"context_deep\":10,\"sd_neg_prompt\":\"nsfw, paintings,low quality,easynegative,ng_deepnegative ,lowres,bad anatomy,bad hands,bad feet\",\"mj_mode\":\"fast\",\"index_bg_url\":\"color\",\"index_navs\":[1,5,13,19,9,12,6,20,8,10],\"copyright\":\"极客学长 © 2022- 2024 All rights reserved\",\"mark_map_text\":\"# GeekAI 演示站\\n\\n- 完整的开源系统，前端应用和后台管理系统皆可开箱即用。\\n- 基于 Websocket 实现，完美的打字机体验。\\n- 内置了各种预训练好的角色应用,轻松满足你的各种聊天和应用需求。\\n- 支持 OPenAI，Azure，文心一言，讯飞星火，清华 ChatGLM等多个大语言模型。\\n- 支持 MidJourney / Stable Diffusion AI 绘画集成，开箱即用。\\n- 支持使用个人微信二维码作为充值收费的支付渠道，无需企业支付通道。\\n- 已集成支付宝支付功能，微信支付，支持多种会员套餐和点卡购买功能。\\n- 集成插件 API 功能，可结合大语言模型的 function 功能开发各种强大的插件。\",\"enabled_verify\":false,\"email_white_list\":[\"qq.com\",\"163.com\",\"gmail.com\",\"hotmail.com\",\"126.com\",\"outlook.com\",\"foxmail.com\",\"yahoo.com\"],\"translate_model_id\":1}'),
+(3, 'notice', '{\"sd_neg_prompt\":\"\",\"mj_mode\":\"\",\"index_bg_url\":\"\",\"index_navs\":null,\"copyright\":\"\",\"mark_map_text\":\"\",\"enabled_verify\":false,\"email_white_list\":null,\"translate_model_id\":0,\"content\":\"## v4.1.7 更新日志\\n\\n* Bug修复：手机邮箱相关的注册问题 [#IB0HS5](https://gitee.com/blackfox/geekai/issues/IB0HS5)\\n* Bug修复：音乐视频无法下载，思维导图下载后看不清文字[#IB0N2E](https://gitee.com/blackfox/geekai/issues/IB0N2E)\\n* 功能优化：保存所有AIGC任务的原始信息，程序启动之后自动将未执行的任务加入到 redis 队列\\n* 功能优化：失败的任务自动退回算力，而不需要在删除的时候再退回\\n* 功能新增：支持设置一个专门的模型来翻译提示词，提供 Mate 提示词生成功能\\n* Bug修复：修复图片对话的时候，上下文不起作用的Bug\\n* 功能新增：管理后台新增批量导出兑换码功能\\n\\n注意：当前站点仅为开源项目 \\u003ca style=\\\"color: #F56C6C\\\" href=\\\"https://github.com/yangjian102621/geekai\\\" target=\\\"_blank\\\"\\u003eGeekAI-Plus\\u003c/a\\u003e 的演示项目，本项目单纯就是给大家体验项目功能使用。\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n\\u003cstrong style=\\\"color: #F56C6C\\\"\\u003e体验额度用完之后请不要在当前站点进行任何充值操作！！！\\u003c/strong\\u003e\\n 如果觉得好用你就花几分钟自己部署一套，没有API KEY 的同学可以去下面几个推荐的中转站购买：\\n1、\\u003ca href=\\\"https://api.chat-plus.net\\\" target=\\\"_blank\\\"\\n   style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://api.chat-plus.net\\u003c/a\\u003e\\n2、\\u003ca href=\\\"https://api.geekai.me\\\" target=\\\"_blank\\\"\\n   style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://api.geekai.me\\u003c/a\\u003e\\n支持MidJourney，GPT，Claude，Google Gemmi，以及国内各个厂家的大模型，现在有超级优惠，价格远低于 OpenAI 官方。关于中转 API 的优势和劣势请参考 [中转API技术原理](https://docs.geekai.me/config/chat/#%E4%B8%AD%E8%BD%ACapi%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86)。GPT-3.5，GPT-4，DALL-E3 绘图......你都可以随意使用，无需魔法。\\n接入教程： \\u003ca href=\\\"https://docs.geekai.me\\\" target=\\\"_blank\\\"\\n             style=\\\"font-size: 20px;color:#F56C6C\\\"\\u003ehttps://docs.geekai.me\\u003c/a\\u003e\\n本项目源码地址：\\u003ca href=\\\"https://github.com/yangjian102621/geekai\\\" target=\\\"_blank\\\"\\u003ehttps://github.com/yangjian102621/geekai\\u003c/a\\u003e\",\"updated\":true}');
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_dall_jobs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_dall_jobs`;
+CREATE TABLE `chatgpt_dall_jobs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户ID',
+  `prompt` varchar(2000) NOT NULL COMMENT '提示词',
+  `task_info` text NOT NULL COMMENT '任务详情',
+  `img_url` varchar(255) NOT NULL COMMENT '图片地址',
+  `org_url` varchar(1024) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '原图地址',
+  `publish` tinyint(1) NOT NULL COMMENT '是否发布',
+  `power` smallint NOT NULL COMMENT '消耗算力',
+  `progress` smallint NOT NULL COMMENT '任务进度',
+  `err_msg` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '错误信息',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='DALLE 绘图任务表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_files`
+--
+
+DROP TABLE IF EXISTS `chatgpt_files`;
+CREATE TABLE `chatgpt_files` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `name` varchar(100) NOT NULL COMMENT '文件名',
+  `obj_key` varchar(100) DEFAULT NULL COMMENT '文件标识',
+  `url` varchar(255) NOT NULL COMMENT '文件地址',
+  `ext` varchar(10) NOT NULL COMMENT '文件后缀',
+  `size` bigint NOT NULL DEFAULT '0' COMMENT '文件大小',
+  `created_at` datetime NOT NULL COMMENT '创建时间'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户文件表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_functions`
+--
+
+DROP TABLE IF EXISTS `chatgpt_functions`;
+CREATE TABLE `chatgpt_functions` (
+  `id` int NOT NULL,
+  `name` varchar(30) NOT NULL COMMENT '函数名称',
+  `label` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '函数标签',
+  `description` varchar(255) DEFAULT NULL COMMENT '函数描述',
+  `parameters` text COMMENT '函数参数（JSON）',
+  `token` varchar(255) DEFAULT NULL COMMENT 'API授权token',
+  `action` varchar(255) DEFAULT NULL COMMENT '函数处理 API',
+  `enabled` tinyint(1) NOT NULL DEFAULT '0' COMMENT '是否启用'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='函数插件表';
+
+--
+-- 转存表中的数据 `chatgpt_functions`
+--
+
+INSERT INTO `chatgpt_functions` (`id`, `name`, `label`, `description`, `parameters`, `token`, `action`, `enabled`) VALUES
+(1, 'weibo', '微博热搜', '新浪微博热搜榜，微博当日热搜榜单', '{\"type\":\"object\",\"properties\":{}}', 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHBpcmVkIjowLCJ1c2VyX2lkIjowfQ.tLAGkF8XWh_G-oQzevpIodsswtPByBLoAZDz_eWuBgw', 'http://localhost:5678/api/function/weibo', 1),
+(2, 'zaobao', '今日早报', '每日早报，获取当天新闻事件列表', '{\"type\":\"object\",\"properties\":{}}', 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHBpcmVkIjowLCJ1c2VyX2lkIjowfQ.tLAGkF8XWh_G-oQzevpIodsswtPByBLoAZDz_eWuBgw', 'http://localhost:5678/api/function/zaobao', 1),
+(3, 'dalle3', 'DALLE3', 'AI 绘画工具，根据输入的绘图描述用 AI 工具进行绘画', '{\"type\":\"object\",\"required\":[\"prompt\"],\"properties\":{\"prompt\":{\"type\":\"string\",\"description\":\"绘画提示词\"}}}', 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHBpcmVkIjowLCJ1c2VyX2lkIjowfQ.tLAGkF8XWh_G-oQzevpIodsswtPByBLoAZDz_eWuBgw', 'http://localhost:5678/api/function/dalle3', 1);
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_invite_codes`
+--
+
+DROP TABLE IF EXISTS `chatgpt_invite_codes`;
+CREATE TABLE `chatgpt_invite_codes` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户ID',
+  `code` char(8) NOT NULL COMMENT '邀请码',
+  `hits` int NOT NULL COMMENT '点击次数',
+  `reg_num` smallint NOT NULL COMMENT '注册数量',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户邀请码';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_invite_logs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_invite_logs`;
+CREATE TABLE `chatgpt_invite_logs` (
+  `id` int NOT NULL,
+  `inviter_id` int NOT NULL COMMENT '邀请人ID',
+  `user_id` int NOT NULL COMMENT '注册用户ID',
+  `username` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户名',
+  `invite_code` char(8) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '邀请码',
+  `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '备注',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='邀请注册日志';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_menus`
+--
+
+DROP TABLE IF EXISTS `chatgpt_menus`;
+CREATE TABLE `chatgpt_menus` (
+  `id` int NOT NULL,
+  `name` varchar(30) NOT NULL COMMENT '菜单名称',
+  `icon` varchar(150) NOT NULL COMMENT '菜单图标',
+  `url` varchar(100) NOT NULL COMMENT '地址',
+  `sort_num` smallint NOT NULL COMMENT '排序',
+  `enabled` tinyint(1) NOT NULL COMMENT '是否启用'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='前端菜单表';
+
+--
+-- 转存表中的数据 `chatgpt_menus`
+--
+
+INSERT INTO `chatgpt_menus` (`id`, `name`, `icon`, `url`, `sort_num`, `enabled`) VALUES
+(1, 'AI 对话', '/images/menu/chat.png', '/chat', 1, 1),
+(5, 'MJ 绘画', '/images/menu/mj.png', '/mj', 2, 1),
+(6, 'SD 绘画', '/images/menu/sd.png', '/sd', 3, 1),
+(7, '算力日志', '/images/menu/log.png', '/powerLog', 10, 1),
+(8, '应用中心', '/images/menu/app.png', '/apps', 9, 1),
+(9, '画廊', '/images/menu/img-wall.png', '/images-wall', 5, 1),
+(10, '会员计划', '/images/menu/member.png', '/member', 11, 1),
+(11, '分享计划', '/images/menu/share.png', '/invite', 12, 1),
+(12, '思维导图', '/images/menu/xmind.png', '/xmind', 8, 1),
+(13, 'DALLE', '/images/menu/dalle.png', '/dalle', 4, 1),
+(14, '项目文档', '/images/menu/docs.png', 'https://docs.geekai.me', 13, 1),
+(16, '极客论坛', '/images/menu/bbs.png', 'https://bbs.geekai.cn', 14, 1),
+(19, 'Suno', '/images/menu/suno.png', '/suno', 6, 1),
+(20, 'Luma', '/images/menu/luma.png', '/luma', 7, 1);
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_mj_jobs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_mj_jobs`;
+CREATE TABLE `chatgpt_mj_jobs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `task_id` varchar(20) DEFAULT NULL COMMENT '任务 ID',
+  `task_info` text NOT NULL COMMENT '任务详情',
+  `type` varchar(20) DEFAULT 'image' COMMENT '任务类别',
+  `message_id` char(40) NOT NULL COMMENT '消息 ID',
+  `channel_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '频道ID',
+  `reference_id` char(40) DEFAULT NULL COMMENT '引用消息 ID',
+  `prompt` varchar(2000) NOT NULL COMMENT '会话提示词',
+  `img_url` varchar(400) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '图片URL',
+  `org_url` varchar(400) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '原始图片地址',
+  `hash` varchar(100) DEFAULT NULL COMMENT 'message hash',
+  `progress` smallint DEFAULT '0' COMMENT '任务进度',
+  `use_proxy` tinyint(1) NOT NULL DEFAULT '0' COMMENT '是否使用反代',
+  `publish` tinyint(1) NOT NULL COMMENT '是否发布',
+  `err_msg` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '错误信息',
+  `power` smallint NOT NULL DEFAULT '0' COMMENT '消耗算力',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='MidJourney 任务表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_orders`
+--
+
+DROP TABLE IF EXISTS `chatgpt_orders`;
+CREATE TABLE `chatgpt_orders` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户ID',
+  `product_id` int NOT NULL COMMENT '产品ID',
+  `username` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户明',
+  `order_no` varchar(30) NOT NULL COMMENT '订单ID',
+  `trade_no` varchar(60) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '支付平台交易流水号',
+  `subject` varchar(100) NOT NULL COMMENT '订单产品',
+  `amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '订单金额',
+  `status` tinyint(1) NOT NULL DEFAULT '0' COMMENT '订单状态（0：待支付，1：已扫码，2：支付成功）',
+  `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '备注',
+  `pay_time` int DEFAULT NULL COMMENT '支付时间',
+  `pay_way` varchar(20) NOT NULL COMMENT '支付方式',
+  `pay_type` varchar(30) NOT NULL COMMENT '支付类型',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL,
+  `deleted_at` datetime DEFAULT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='充值订单表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_power_logs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_power_logs`;
+CREATE TABLE `chatgpt_power_logs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户ID',
+  `username` varchar(30) NOT NULL COMMENT '用户名',
+  `type` tinyint(1) NOT NULL COMMENT '类型（1：充值，2：消费，3：退费）',
+  `amount` smallint NOT NULL COMMENT '算力数值',
+  `balance` int NOT NULL COMMENT '余额',
+  `model` varchar(30) NOT NULL COMMENT '模型',
+  `remark` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '备注',
+  `mark` tinyint(1) NOT NULL COMMENT '资金类型（0：支出，1：收入）',
+  `created_at` datetime NOT NULL COMMENT '创建时间'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户算力消费日志';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_products`
+--
+
+DROP TABLE IF EXISTS `chatgpt_products`;
+CREATE TABLE `chatgpt_products` (
+  `id` int NOT NULL,
+  `name` varchar(30) NOT NULL COMMENT '名称',
+  `price` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '价格',
+  `discount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '优惠金额',
+  `days` smallint NOT NULL DEFAULT '0' COMMENT '延长天数',
+  `power` int NOT NULL DEFAULT '0' COMMENT '增加算力值',
+  `enabled` tinyint(1) NOT NULL DEFAULT '0' COMMENT '是否启动',
+  `sales` int NOT NULL DEFAULT '0' COMMENT '销量',
+  `sort_num` tinyint NOT NULL DEFAULT '0' COMMENT '排序',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL,
+  `app_url` varchar(255) DEFAULT NULL COMMENT 'App跳转地址',
+  `url` varchar(255) DEFAULT NULL COMMENT '跳转地址'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='会员套餐表';
+
+--
+-- 转存表中的数据 `chatgpt_products`
+--
+
+INSERT INTO `chatgpt_products` (`id`, `name`, `price`, `discount`, `days`, `power`, `enabled`, `sales`, `sort_num`, `created_at`, `updated_at`, `app_url`, `url`) VALUES
+(5, '100次点卡', 9.99, 6.99, 0, 100, 1, 0, 0, '2023-08-28 10:55:08', '2024-10-23 18:12:29', NULL, NULL),
+(6, '200次点卡', 19.90, 15.99, 0, 200, 1, 0, 0, '1970-01-01 08:00:00', '2024-10-23 18:12:36', NULL, NULL);
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_redeems`
+--
+
+DROP TABLE IF EXISTS `chatgpt_redeems`;
+CREATE TABLE `chatgpt_redeems` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `name` varchar(30) NOT NULL COMMENT '兑换码名称',
+  `power` int NOT NULL COMMENT '算力',
+  `code` varchar(100) NOT NULL COMMENT '兑换码',
+  `enabled` tinyint(1) NOT NULL COMMENT '是否启用',
+  `created_at` datetime NOT NULL,
+  `redeemed_at` int NOT NULL COMMENT '兑换时间'
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='兑换码';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_sd_jobs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_sd_jobs`;
+CREATE TABLE `chatgpt_sd_jobs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `type` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT 'txt2img' COMMENT '任务类别',
+  `task_id` char(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '任务 ID',
+  `task_info` text NOT NULL COMMENT '任务详情',
+  `prompt` varchar(2000) NOT NULL COMMENT '会话提示词',
+  `img_url` varchar(255) DEFAULT NULL COMMENT '图片URL',
+  `params` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci COMMENT '绘画参数json',
+  `progress` smallint DEFAULT '0' COMMENT '任务进度',
+  `publish` tinyint(1) NOT NULL COMMENT '是否发布',
+  `err_msg` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '错误信息',
+  `power` smallint NOT NULL DEFAULT '0' COMMENT '消耗算力',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='Stable Diffusion 任务表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_suno_jobs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_suno_jobs`;
+CREATE TABLE `chatgpt_suno_jobs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `channel` varchar(100) NOT NULL COMMENT '渠道',
+  `title` varchar(100) DEFAULT NULL COMMENT '歌曲标题',
+  `type` tinyint(1) DEFAULT '0' COMMENT '任务类型,1:灵感创作,2:自定义创作',
+  `task_id` varchar(50) DEFAULT NULL COMMENT '任务 ID',
+  `task_info` text NOT NULL COMMENT '任务详情',
+  `ref_task_id` char(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '引用任务 ID',
+  `tags` varchar(100) DEFAULT NULL COMMENT '歌曲风格',
+  `instrumental` tinyint(1) DEFAULT '0' COMMENT '是否为纯音乐',
+  `extend_secs` smallint DEFAULT '0' COMMENT '延长秒数',
+  `song_id` varchar(50) DEFAULT NULL COMMENT '要续写的歌曲 ID',
+  `ref_song_id` varchar(50) NOT NULL COMMENT '引用的歌曲ID',
+  `prompt` varchar(2000) NOT NULL COMMENT '提示词',
+  `cover_url` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '封面图地址',
+  `audio_url` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '音频地址',
+  `model_name` varchar(30) DEFAULT NULL COMMENT '模型地址',
+  `progress` smallint DEFAULT '0' COMMENT '任务进度',
+  `duration` smallint NOT NULL DEFAULT '0' COMMENT '歌曲时长',
+  `publish` tinyint(1) NOT NULL COMMENT '是否发布',
+  `err_msg` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '错误信息',
+  `raw_data` text COMMENT '原始数据',
+  `power` smallint NOT NULL DEFAULT '0' COMMENT '消耗算力',
+  `play_times` int DEFAULT NULL COMMENT '播放次数',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='MidJourney 任务表';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_users`
+--
+
+DROP TABLE IF EXISTS `chatgpt_users`;
+CREATE TABLE `chatgpt_users` (
+  `id` int NOT NULL,
+  `username` varchar(30) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户名',
+  `mobile` char(11) DEFAULT NULL COMMENT '手机号',
+  `email` varchar(50) DEFAULT NULL COMMENT '邮箱地址',
+  `nickname` varchar(30) NOT NULL COMMENT '昵称',
+  `password` char(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '密码',
+  `avatar` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '头像',
+  `salt` char(12) NOT NULL COMMENT '密码盐',
+  `power` int NOT NULL DEFAULT '0' COMMENT '剩余算力',
+  `expired_time` int NOT NULL COMMENT '用户过期时间',
+  `status` tinyint(1) NOT NULL COMMENT '当前状态',
+  `chat_config_json` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '聊天配置json',
+  `chat_roles_json` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '聊天角色 json',
+  `chat_models_json` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT 'AI模型 json',
+  `last_login_at` int NOT NULL COMMENT '最后登录时间',
+  `vip` tinyint(1) NOT NULL DEFAULT '0' COMMENT '是否会员',
+  `last_login_ip` char(16) NOT NULL COMMENT '最后登录 IP',
+  `openid` varchar(100) DEFAULT NULL COMMENT '第三方登录账号ID',
+  `platform` varchar(30) DEFAULT NULL COMMENT '登录平台',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户表';
+
+--
+-- 转存表中的数据 `chatgpt_users`
+--
+
+INSERT INTO `chatgpt_users` (`id`, `username`, `mobile`, `email`, `nickname`, `password`, `avatar`, `salt`, `power`, `expired_time`, `status`, `chat_config_json`, `chat_roles_json`, `chat_models_json`, `last_login_at`, `vip`, `last_login_ip`, `openid`, `platform`, `created_at`, `updated_at`) VALUES
+(4, '18888888888', '18575670126', '', '极客学长', 'ccc3fb7ab61b8b5d096a4a166ae21d121fc38c71bbd1be6173d9ab973214a63b', 'http://localhost:5678/static/upload/2024/5/1715651569509929.png', 'ueedue5l', 13185, 0, 1, '{\"api_keys\":{\"Azure\":\"\",\"ChatGLM\":\"\",\"OpenAI\":\"\"}}', '[\"gpt\",\"programmer\",\"teacher\",\"psychiatrist\",\"lu_xun\",\"english_trainer\",\"translator\",\"red_book\",\"dou_yin\",\"weekly_report\",\"girl_friend\",\"steve_jobs\",\"elon_musk\",\"kong_zi\",\"draw_prompt_expert\",\"draw_prompt\",\"prompt_engineer\"]', '[1]', 1732676556, 1, '::1', 'oCs0t64FaOLfiTbHZpOqk3aUp_94', NULL, '2023-06-12 16:47:17', '2024-11-27 11:02:37');
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_user_login_logs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_user_login_logs`;
+CREATE TABLE `chatgpt_user_login_logs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户ID',
+  `username` varchar(30) NOT NULL COMMENT '用户名',
+  `login_ip` char(16) NOT NULL COMMENT '登录IP',
+  `login_address` varchar(30) NOT NULL COMMENT '登录地址',
+  `created_at` datetime NOT NULL,
+  `updated_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户登录日志';
+
+-- --------------------------------------------------------
+
+--
+-- 表的结构 `chatgpt_video_jobs`
+--
+
+DROP TABLE IF EXISTS `chatgpt_video_jobs`;
+CREATE TABLE `chatgpt_video_jobs` (
+  `id` int NOT NULL,
+  `user_id` int NOT NULL COMMENT '用户 ID',
+  `channel` varchar(100) NOT NULL COMMENT '渠道',
+  `task_id` varchar(100) NOT NULL COMMENT '任务 ID',
+  `task_info` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci COMMENT '原始任务信息',
+  `type` varchar(20) DEFAULT NULL COMMENT '任务类型,luma,runway,cogvideo',
+  `prompt` varchar(2000) NOT NULL COMMENT '提示词',
+  `prompt_ext` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '优化后提示词',
+  `cover_url` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '封面图地址',
+  `video_url` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '视频地址',
+  `water_url` varchar(512) DEFAULT NULL COMMENT '带水印的视频地址',
+  `progress` smallint DEFAULT '0' COMMENT '任务进度',
+  `publish` tinyint(1) NOT NULL COMMENT '是否发布',
+  `err_msg` varchar(512) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci DEFAULT NULL COMMENT '错误信息',
+  `raw_data` text COMMENT '原始数据',
+  `power` smallint NOT NULL DEFAULT '0' COMMENT '消耗算力',
+  `created_at` datetime NOT NULL
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='MidJourney 任务表';
+
+--
+-- 转储表的索引
+--
+
+--
+-- 表的索引 `chatgpt_admin_users`
+--
+ALTER TABLE `chatgpt_admin_users`
+  ADD PRIMARY KEY (`id`) USING BTREE,
+  ADD UNIQUE KEY `username` (`username`) USING BTREE;
+
+--
+-- 表的索引 `chatgpt_api_keys`
+--
+ALTER TABLE `chatgpt_api_keys`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_app_types`
+--
+ALTER TABLE `chatgpt_app_types`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_chat_history`
+--
+ALTER TABLE `chatgpt_chat_history`
+  ADD PRIMARY KEY (`id`),
+  ADD KEY `chat_id` (`chat_id`);
+
+--
+-- 表的索引 `chatgpt_chat_items`
+--
+ALTER TABLE `chatgpt_chat_items`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `chat_id` (`chat_id`);
+
+--
+-- 表的索引 `chatgpt_chat_models`
+--
+ALTER TABLE `chatgpt_chat_models`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_chat_roles`
+--
+ALTER TABLE `chatgpt_chat_roles`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `marker` (`marker`);
+
+--
+-- 表的索引 `chatgpt_configs`
+--
+ALTER TABLE `chatgpt_configs`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `marker` (`marker`);
+
+--
+-- 表的索引 `chatgpt_dall_jobs`
+--
+ALTER TABLE `chatgpt_dall_jobs`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_files`
+--
+ALTER TABLE `chatgpt_files`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_functions`
+--
+ALTER TABLE `chatgpt_functions`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `name` (`name`);
+
+--
+-- 表的索引 `chatgpt_invite_codes`
+--
+ALTER TABLE `chatgpt_invite_codes`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `code` (`code`);
+
+--
+-- 表的索引 `chatgpt_invite_logs`
+--
+ALTER TABLE `chatgpt_invite_logs`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_menus`
+--
+ALTER TABLE `chatgpt_menus`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_mj_jobs`
+--
+ALTER TABLE `chatgpt_mj_jobs`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `task_id` (`task_id`),
+  ADD KEY `message_id` (`message_id`);
+
+--
+-- 表的索引 `chatgpt_orders`
+--
+ALTER TABLE `chatgpt_orders`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `order_no` (`order_no`);
+
+--
+-- 表的索引 `chatgpt_power_logs`
+--
+ALTER TABLE `chatgpt_power_logs`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_products`
+--
+ALTER TABLE `chatgpt_products`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_redeems`
+--
+ALTER TABLE `chatgpt_redeems`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `code` (`code`);
+
+--
+-- 表的索引 `chatgpt_sd_jobs`
+--
+ALTER TABLE `chatgpt_sd_jobs`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `task_id` (`task_id`);
+
+--
+-- 表的索引 `chatgpt_suno_jobs`
+--
+ALTER TABLE `chatgpt_suno_jobs`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_users`
+--
+ALTER TABLE `chatgpt_users`
+  ADD PRIMARY KEY (`id`),
+  ADD UNIQUE KEY `username` (`username`);
+
+--
+-- 表的索引 `chatgpt_user_login_logs`
+--
+ALTER TABLE `chatgpt_user_login_logs`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 表的索引 `chatgpt_video_jobs`
+--
+ALTER TABLE `chatgpt_video_jobs`
+  ADD PRIMARY KEY (`id`);
+
+--
+-- 在导出的表使用AUTO_INCREMENT
+--
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_admin_users`
+--
+ALTER TABLE `chatgpt_admin_users`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=113;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_api_keys`
+--
+ALTER TABLE `chatgpt_api_keys`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_app_types`
+--
+ALTER TABLE `chatgpt_app_types`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_chat_history`
+--
+ALTER TABLE `chatgpt_chat_history`
+  MODIFY `id` bigint NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_chat_items`
+--
+ALTER TABLE `chatgpt_chat_items`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_chat_models`
+--
+ALTER TABLE `chatgpt_chat_models`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=53;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_chat_roles`
+--
+ALTER TABLE `chatgpt_chat_roles`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=135;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_configs`
+--
+ALTER TABLE `chatgpt_configs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_dall_jobs`
+--
+ALTER TABLE `chatgpt_dall_jobs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_files`
+--
+ALTER TABLE `chatgpt_files`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_functions`
+--
+ALTER TABLE `chatgpt_functions`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_invite_codes`
+--
+ALTER TABLE `chatgpt_invite_codes`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_invite_logs`
+--
+ALTER TABLE `chatgpt_invite_logs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_menus`
+--
+ALTER TABLE `chatgpt_menus`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=21;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_mj_jobs`
+--
+ALTER TABLE `chatgpt_mj_jobs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_orders`
+--
+ALTER TABLE `chatgpt_orders`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_power_logs`
+--
+ALTER TABLE `chatgpt_power_logs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_products`
+--
+ALTER TABLE `chatgpt_products`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_redeems`
+--
+ALTER TABLE `chatgpt_redeems`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_sd_jobs`
+--
+ALTER TABLE `chatgpt_sd_jobs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_suno_jobs`
+--
+ALTER TABLE `chatgpt_suno_jobs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_users`
+--
+ALTER TABLE `chatgpt_users`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=47;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_user_login_logs`
+--
+ALTER TABLE `chatgpt_user_login_logs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+
+--
+-- 使用表AUTO_INCREMENT `chatgpt_video_jobs`
+--
+ALTER TABLE `chatgpt_video_jobs`
+  MODIFY `id` int NOT NULL AUTO_INCREMENT;
+COMMIT;
+
+/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
+/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
+/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;

deploy/docker-compose.yaml

@@ -68,7 +68,7 @@ services:
 
     # 后端 API 程序
   geekai-api:
-    image: registry.cn-shenzhen.aliyuncs.com/geekmaster/geekai-api:v4.1.6-amd64
+    image: registry.cn-shenzhen.aliyuncs.com/geekmaster/geekai-api:v4.1.7-amd64
     container_name: geekai-api
     restart: always
     depends_on:
@@ -92,7 +92,7 @@ services:
 
   # 前端应用
   geekai-web:
-    image: registry.cn-shenzhen.aliyuncs.com/geekmaster/geekai-web:v4.1.6-amd64
+    image: registry.cn-shenzhen.aliyuncs.com/geekmaster/geekai-web:v4.1.7-amd64
     container_name: geekai-web
     restart: always
     depends_on:

web/.env.development

@@ -6,6 +6,6 @@ VUE_APP_ADMIN_USER=admin
 VUE_APP_ADMIN_PASS=admin123
 VUE_APP_KEY_PREFIX=GeekAI_DEV_
 VUE_APP_TITLE="Geek-AI 创作系统"
-VUE_APP_VERSION=v4.1.6
+VUE_APP_VERSION=v4.1.7
 VUE_APP_DOCS_URL=https://docs.geekai.me
 VUE_APP_GIT_URL=https://github.com/yangjian102621/geekai

web/.env.production

@@ -2,6 +2,6 @@ VUE_APP_API_HOST=
 VUE_APP_WS_HOST=
 VUE_APP_KEY_PREFIX=GeekAI_
 VUE_APP_TITLE="Geek-AI 创作系统"
-VUE_APP_VERSION=v4.1.6
+VUE_APP_VERSION=v4.1.7
 VUE_APP_DOCS_URL=https://docs.geekai.me
 VUE_APP_GIT_URL=https://github.com/yangjian102621/geekai

web/src/assets/css/admin/form.styl

@@ -3,7 +3,7 @@
     display flex
     width 100%
 
-    .el-input,.el-select,.el-switch {
+    .el-input, .el-select, .el-switch {
       margin-right 10px
     }
 

web/src/assets/css/image-mj.styl

@@ -473,8 +473,13 @@
         padding 30px
       }
     }
-  }
 
+    .generate-btn {
+      .iconfont {
+        margin-right 5px
+      }
+    }
+  }
 }
 
 .mj-list-item-prompt {

web/src/assets/css/main.styl

@@ -172,6 +172,22 @@ body {
   }
 }
 
+.mr-1 {
+  margin-right 5px
+}
+
+.mr-2 {
+  margin-right 10px
+}
+
+.ml-1 {
+  margin-left 5px
+}
+
+.ml-2 {
+  margin-left 10px
+}
+
 
 
 

web/src/assets/iconfont/iconfont.css

@@ -1,8 +1,8 @@
 @font-face {
   font-family: "iconfont"; /* Project id 4125778 */
-  src: url('iconfont.woff2?t=1728891448746') format('woff2'),
-       url('iconfont.woff?t=1728891448746') format('woff'),
-       url('iconfont.ttf?t=1728891448746') format('truetype');
+  src: url('iconfont.woff2?t=1731289567907') format('woff2'),
+       url('iconfont.woff?t=1731289567907') format('woff'),
+       url('iconfont.ttf?t=1731289567907') format('truetype');
 }
 
 .iconfont {
@@ -13,6 +13,14 @@
   -moz-osx-font-smoothing: grayscale;
 }
 
+.icon-linggan:before {
+  content: "\e641";
+}
+
+.icon-chuangzuo:before {
+  content: "\e6cc";
+}
+
 .icon-call:before {
   content: "\e769";
 }

web/src/assets/iconfont/iconfont.json

@@ -5,6 +5,20 @@
   "css_prefix_text": "icon-",
   "description": "",
   "glyphs": [
+    {
+      "icon_id": "15330210",
+      "name": "创意灵感",
+      "font_class": "linggan",
+      "unicode": "e641",
+      "unicode_decimal": 58945
+    },
+    {
+      "icon_id": "39170417",
+      "name": "创作",
+      "font_class": "chuangzuo",
+      "unicode": "e6cc",
+      "unicode_decimal": 59084
+    },
     {
       "icon_id": "11231556",
       "name": "打电话",

web/src/components/ui/BlackDialog.vue

@@ -40,8 +40,8 @@ const props = defineProps({
     default: 'Tips',
   },
   width: {
-    type: Number,
-    default: 500,
+    type: String,
+    default: 'auto',
   },
   hideFooter:{
     type: Boolean,

web/src/utils/http.js

@@ -6,12 +6,12 @@
 // * +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
 import axios from 'axios'
-import {getAdminToken, getSessionId, getUserToken, removeAdminToken, removeUserToken} from "@/store/session";
+import {getAdminToken, getUserToken, removeAdminToken, removeUserToken} from "@/store/session";
 
 axios.defaults.timeout = 180000
 axios.defaults.baseURL = process.env.VUE_APP_API_HOST
 axios.defaults.withCredentials = true;
-axios.defaults.headers.post['Content-Type'] = 'application/json'
+//axios.defaults.headers.post['Content-Type'] = 'application/json'
 
 // HTTP拦截器
 axios.interceptors.request.use(
@@ -82,4 +82,19 @@ export function httpDownload(url) {
             reject(err)
         })
     })
+}
+
+export function httpPostDownload(url, data) {
+    return new Promise((resolve, reject) => {
+        axios({
+            method: 'POST',
+            url: url,
+            data: data,
+            responseType: 'blob' // 将响应类型设置为 `blob`
+        }).then(response => {
+            resolve(response)
+        }).catch(err => {
+            reject(err)
+        })
+    })
 }

web/src/utils/libs.js

@@ -225,6 +225,9 @@ export function showLoginDialog(router) {
 }
 
 export const replaceImg =(img) => {
+    if (!img.startsWith("http")) {
+        img = `${location.protocol}//${location.host}/${img}`
+    }
     const devHost = process.env.VUE_APP_API_HOST
     const localhost = "http://localhost:5678"
     if (img.includes(localhost)) {

web/src/views/Dalle.vue

@@ -59,10 +59,19 @@
                     :autosize="{ minRows: 4, maxRows: 6 }"
                     type="textarea"
                     ref="promptRef"
-                    placeholder="请在此输入绘画提示词，系统会自动翻译中文提示词，高手请直接输入英文提示词"
+                    placeholder="请在此输入绘画提示词，您也可以点击下面的提示词助手生成绘画提示词"
+                    v-loading="isGenerating"
+                    style="--el-mask-color:rgba(100, 100, 100, 0.8)"
                 />
               </div>
 
+              <el-row class="text-info">
+                <el-button class="generate-btn" size="small" @click="generatePrompt" color="#5865f2" :disabled="isGenerating">
+                  <i class="iconfont icon-chuangzuo" style="margin-right: 5px"></i>
+                  <span>生成专业绘画指令</span>
+                </el-button>
+              </el-row>
+
               <div class="text-info">
                 <el-row :gutter="10">
                   <el-col :span="12">
@@ -212,6 +221,7 @@ import {checkSession, getClientId, getSystemInfo} from "@/store/cache";
 import {useSharedStore} from "@/store/sharedata";
 import TaskList from "@/components/TaskList.vue";
 import BackTop from "@/components/BackTop.vue";
+import {showMessageError} from "@/utils/dialog";
 
 const listBoxHeight = ref(0)
 // const paramBoxHeight = ref(0)
@@ -410,6 +420,21 @@ const publishImage = (item, action) => {
   })
 }
 
+const isGenerating = ref(false)
+const generatePrompt = () => {
+  if (params.value.prompt === "") {
+    return showMessageError("请输入原始提示词")
+  }
+  isGenerating.value = true
+  httpPost("/api/prompt/image", {prompt: params.value.prompt}).then(res => {
+    params.value.prompt = res.data
+    isGenerating.value = false
+  }).catch(e => {
+    showMessageError("生成提示词失败："+e.message)
+    isGenerating.value = false
+  })
+}
+
 </script>
 
 <style lang="stylus">

web/src/views/ImageMj.vue

@@ -21,7 +21,6 @@
                   <div class="flex-col items-center"
                        :class="item.value === params.rate ? 'grid-content active' : 'grid-content'"
                        @click="changeRate(item)">
-                    <!--                    <div :class="'shape ' + item.css"></div>-->
                     <el-image class="icon" :src="item.img" fit="cover"></el-image>
                     <div class="text">{{ item.text }}</div>
                   </div>
@@ -183,12 +182,21 @@
                       </div>
                     </div>
 
-                    <div class="param-line pt">
+                    <div class="param-line pt" style="position: relative">
                       <el-input v-model="params.prompt" :autosize="{ minRows: 4, maxRows: 6 }" type="textarea"
                                 ref="promptRef"
-                                placeholder="请在此输入绘画提示词，系统会自动翻译中文提示词，高手请直接输入英文提示词"/>
+                                v-loading="isGenerating"
+                                style="--el-mask-color:rgba(100, 100, 100, 0.8)"
+                                placeholder="请在此输入绘画提示词，您也可以点击下面的提示词助手生成绘画提示词"/>
                     </div>
 
+                    <el-row class="text-info">
+                      <el-button class="generate-btn" size="small" @click="generatePrompt" color="#5865f2" :disabled="isGenerating">
+                        <i class="iconfont icon-chuangzuo"></i>
+                        <span>生成专业绘画指令</span>
+                      </el-button>
+                    </el-row>
+
                     <div class="param-line pt">
                       <div class="flex-row justify-between items-center">
                         <div class="flex-row justify-start items-center">
@@ -265,9 +273,18 @@
                     <div class="param-line pt">
                       <el-input v-model="params.prompt" :autosize="{ minRows: 4, maxRows: 6 }" type="textarea"
                                 ref="promptRef"
+                                v-loading="isGenerating"
+                                style="--el-mask-color:rgba(100, 100, 100, 0.8)"
                                 placeholder="请在此输入绘画提示词，系统会自动翻译中文提示词，高手请直接输入英文提示词"/>
                     </div>
 
+                    <el-row class="text-info">
+                      <el-button class="generate-btn" size="small" @click="generatePrompt" color="#5865f2" :disabled="isGenerating">
+                        <i class="iconfont icon-chuangzuo"></i>
+                        <span>生成专业绘画指令</span>
+                      </el-button>
+                    </el-row>
+
                     <div class="param-line pt">
                       <div class="flex-row justify-between items-center">
                         <div class="flex-row justify-start items-center">
@@ -615,6 +632,7 @@ import {copyObj, removeArrayItem} from "@/utils/libs";
 import {useSharedStore} from "@/store/sharedata";
 import TaskList from "@/components/TaskList.vue";
 import BackTop from "@/components/BackTop.vue";
+import {showMessageError} from "@/utils/dialog";
 
 const listBoxHeight = ref(0)
 const paramBoxHeight = ref(0)
@@ -820,7 +838,7 @@ const fetchFinishJobs = () => {
         jobs[i]['thumb_url'] = '/images/img-placeholder.jpg'
       }
 
-      if ((jobs[i].type === 'image' || jobs[i].type === 'variation') && jobs[i].progress === 100) {
+      if (jobs[i].type !== 'upscale' && jobs[i].progress === 100){
         jobs[i]['can_opt'] = true
       }
     }
@@ -999,6 +1017,21 @@ const removeUploadImage = (url) => {
   imgList.value = removeArrayItem(imgList.value, url)
 }
 
+const isGenerating = ref(false)
+const generatePrompt = () => {
+  if (params.value.prompt === "") {
+    return showMessageError("请输入原始提示词")
+  }
+  isGenerating.value = true
+  httpPost("/api/prompt/image", {prompt: params.value.prompt}).then(res => {
+    params.value.prompt = res.data
+    isGenerating.value = false
+  }).catch(e => {
+    showMessageError("生成提示词失败："+e.message)
+    isGenerating.value = false
+  })
+}
+
 </script>
 
 <style lang="stylus">

web/src/views/ImageSd.vue

@@ -250,10 +250,19 @@
                     :autosize="{ minRows: 4, maxRows: 6 }"
                     type="textarea"
                     ref="promptRef"
-                    placeholder="请在此输入绘画提示词，系统会自动翻译中文提示词，高手请直接输入英文提示词"
+                    placeholder="请在此输入绘画提示词，您也可以点击下面的提示词助手生成绘画提示词"
+                    v-loading="isGenerating"
+                    style="--el-mask-color:rgba(100, 100, 100, 0.8)"
                 />
               </div>
 
+              <el-row class="text-info">
+                <el-button class="generate-btn" size="small" @click="generatePrompt" color="#5865f2" :disabled="isGenerating">
+                  <i class="iconfont icon-chuangzuo" style="margin-right: 5px"></i>
+                  <span>生成专业绘画指令</span>
+                </el-button>
+              </el-row>
+
               <div class="param-line pt">
                 <span>反向提示词：</span>
                 <el-tooltip
@@ -497,6 +506,7 @@ import {getSessionId} from "@/store/session";
 import {useSharedStore} from "@/store/sharedata";
 import TaskList from "@/components/TaskList.vue";
 import BackTop from "@/components/BackTop.vue";
+import {showMessageError} from "@/utils/dialog";
 
 const listBoxHeight = ref(0)
 // const paramBoxHeight = ref(0)
@@ -722,6 +732,21 @@ const publishImage = (item, action) => {
   })
 }
 
+const isGenerating = ref(false)
+const generatePrompt = () => {
+  if (params.value.prompt === "") {
+    return showMessageError("请输入原始提示词")
+  }
+  isGenerating.value = true
+  httpPost("/api/prompt/image", {prompt: params.value.prompt}).then(res => {
+    params.value.prompt = res.data
+    isGenerating.value = false
+  }).catch(e => {
+    showMessageError("生成提示词失败："+e.message)
+    isGenerating.value = false
+  })
+}
+
 </script>
 
 <style lang="stylus">

web/src/views/Luma.vue

@@ -5,7 +5,9 @@
         <template v-for="(img, index) in images" :key="img">
           <div class="item">
             <el-image :src="replaceImg(img)" fit="cover"/>
-            <el-icon @click="remove(img)"><CircleCloseFilled /></el-icon>
+            <el-icon @click="remove(img)">
+              <CircleCloseFilled/>
+            </el-icon>
           </div>
           <div class="btn-swap" v-if="images.length === 2 && index === 0">
             <i class="iconfont icon-exchange" @click="switchReverse"></i>
@@ -38,20 +40,26 @@
         </div>
 
         <div class="params">
+          <div class="item-group">
+            <el-button class="generate-btn" size="small" @click="generatePrompt" color="#5865f2"
+                       :disabled="isGenerating">
+              <i class="iconfont icon-chuangzuo" style="margin-right: 5px"></i>
+              <span>生成AI视频提示词</span>
+            </el-button>
+          </div>
           <div class="item-group">
             <span class="label">循环参考图</span>
-            <el-switch  v-model="formData.loop" size="small" style="--el-switch-on-color:#BF78BF;" />
+            <el-switch v-model="formData.loop" size="small" style="--el-switch-on-color:#BF78BF;"/>
           </div>
           <div class="item-group">
             <span class="label">提示词优化</span>
-            <el-switch  v-model="formData.expand_prompt" size="small" style="--el-switch-on-color:#BF78BF;" />
+            <el-switch v-model="formData.expand_prompt" size="small" style="--el-switch-on-color:#BF78BF;"/>
           </div>
         </div>
       </div>
     </div>
 
 
-
     <el-container class="video-container" v-loading="loading" element-loading-background="rgba(100,100,100,0.3)">
       <h2 class="h-title">你的作品</h2>
 
@@ -61,33 +69,35 @@
             <div class="left">
               <div class="container">
                 <div v-if="item.progress === 100">
-                  <video class="video" :src="replaceImg(item.video_url)"  preload="auto" loop="loop" muted="muted">
+                  <video class="video" :src="replaceImg(item.video_url)" preload="auto" loop="loop" muted="muted">
                     您的浏览器不支持视频播放
                   </video>
                   <button class="play" @click="play(item)">
                     <img src="/images/play.svg" alt=""/>
                   </button>
                 </div>
-                <el-image :src="item.cover_url" fit="cover" v-else-if="item.progress > 100" />
-                <generating message="正在生成视频" v-else />
+                <el-image :src="item.cover_url" fit="cover" v-else-if="item.progress > 100"/>
+                <generating message="正在生成视频" v-else/>
 
               </div>
             </div>
             <div class="center">
-              <div class="failed" v-if="item.progress === 101">任务执行失败：{{item.err_msg}}，任务提示词：{{item.prompt}}</div>
-              <div class="prompt" v-else>{{item.prompt}}</div>
+              <div class="failed" v-if="item.progress === 101">
+                任务执行失败：{{ item.err_msg }}，任务提示词：{{ item.prompt }}
+              </div>
+              <div class="prompt" v-else>{{ item.prompt }}</div>
             </div>
             <div class="right" v-if="item.progress === 100">
               <div class="tools">
                 <button class="btn btn-publish">
                   <span class="text">发布</span>
-                  <black-switch v-model:value="item.publish" @change="publishJob(item)" size="small" />
+                  <black-switch v-model:value="item.publish" @change="publishJob(item)" size="small"/>
                 </button>
 
                 <el-tooltip effect="light" content="下载视频" placement="top">
                   <button class="btn btn-icon" @click="download(item)" :disabled="item.downloading">
                     <i class="iconfont icon-download" v-if="!item.downloading"></i>
-                    <el-image src="/images/loading.gif" class="downloading" fit="cover" v-else />
+                    <el-image src="/images/loading.gif" class="downloading" fit="cover" v-else/>
                   </button>
                 </el-tooltip>
                 <el-tooltip effect="light" content="删除" placement="top">
@@ -105,38 +115,39 @@
           </div>
         </div>
       </div>
-      <el-empty :image-size="100" description="没有任何作品，赶紧去创作吧！" v-else />
+      <el-empty :image-size="100" description="没有任何作品，赶紧去创作吧！" v-else/>
 
       <div class="pagination">
         <el-pagination v-if="total > pageSize" background
-          style="--el-pagination-button-bg-color:#414141;
+                       style="--el-pagination-button-bg-color:#414141;
           --el-pagination-button-color:#d1d1d1;
           --el-disabled-bg-color:#414141;
           --el-color-primary:#666666;
           --el-pagination-hover-color:#e1e1e1"
-          layout="total,prev, pager, next"
-          :hide-on-single-page="true"
-          v-model:current-page="page"
-          v-model:page-size="pageSize"
-          @current-change="fetchData(page)"
-          :total="total"/>
+                       layout="total,prev, pager, next"
+                       :hide-on-single-page="true"
+                       v-model:current-page="page"
+                       v-model:page-size="pageSize"
+                       @current-change="fetchData(page)"
+                       :total="total"/>
       </div>
     </el-container>
     <black-dialog v-model:show="showDialog" title="预览视频" hide-footer @cancal="showDialog = false" width="auto">
-      <video style="width: 100%; max-height: 90vh;" :src="currentVideoUrl"  preload="auto" :autoplay="true" loop="loop" muted="muted" v-show="showDialog">
+      <video style="width: 100%; max-height: 90vh;" :src="currentVideoUrl" preload="auto" :autoplay="true" loop="loop"
+             muted="muted" v-show="showDialog">
         您的浏览器不支持视频播放
       </video>
-    </black-dialog>    
+    </black-dialog>
   </div>
 </template>
 
 <script setup>
 import {onMounted, onUnmounted, reactive, ref} from "vue";
 import {CircleCloseFilled} from "@element-plus/icons-vue";
-import {httpDownload, httpPost, httpGet} from "@/utils/http";
+import {httpDownload, httpGet, httpPost} from "@/utils/http";
 import {checkSession, getClientId} from "@/store/cache";
 import {showMessageError, showMessageOK} from "@/utils/dialog";
-import { replaceImg } from "@/utils/libs"
+import {replaceImg} from "@/utils/libs"
 import {ElMessage, ElMessageBox} from "element-plus";
 import BlackSwitch from "@/components/ui/BlackSwitch.vue";
 import Generating from "@/components/ui/Generating.vue";
@@ -158,12 +169,12 @@ const formData = reactive({
 })
 
 const store = useSharedStore()
-onMounted(()=>{
+onMounted(() => {
   checkSession().then(() => {
     fetchData(1)
   })
 
-  store.addMessageHandler("luma",(data) => {
+  store.addMessageHandler("luma", (data) => {
     // 丢弃无关消息
     if (data.channel !== "luma" || data.clientId !== getClientId()) {
       return
@@ -186,7 +197,7 @@ const download = (item) => {
   const urlObj = new URL(url);
   const fileName = urlObj.pathname.split('/').pop();
   item.downloading = true
-  httpDownload(downloadURL).then(response  => {
+  httpDownload(downloadURL).then(response => {
     const blob = new Blob([response.data]);
     const link = document.createElement('a');
     link.href = URL.createObjectURL(blob);
@@ -228,7 +239,7 @@ const removeJob = (item) => {
 }
 
 const publishJob = (item) => {
-  httpGet("/api/video/publish", {id: item.id, publish:item.publish}).then(() => {
+  httpGet("/api/video/publish", {id: item.id, publish: item.publish}).then(() => {
     ElMessage.success("操作成功")
   }).catch(e => {
     ElMessage.error("操作失败：" + e.message)
@@ -264,7 +275,7 @@ const fetchData = (_page) => {
   if (_page) {
     page.value = _page
   }
-  httpGet("/api/video/list",{page:page.value, page_size:pageSize.value, type: 'luma'}).then(res => {
+  httpGet("/api/video/list", {page: page.value, page_size: pageSize.value, type: 'luma'}).then(res => {
     total.value = res.data.total
     loading.value = false
     list.value = res.data.items
@@ -278,10 +289,10 @@ const fetchData = (_page) => {
 // 创建视频
 const create = () => {
 
-  const len =  images.value.length;
-  if(len){
+  const len = images.value.length;
+  if (len) {
     formData.first_frame_img = images.value[0]
-    if(len === 2){
+    if (len === 2) {
       formData.end_frame_img = images.value[1]
     }
   }
@@ -290,10 +301,24 @@ const create = () => {
     fetchData(1)
     showMessageOK("创建任务成功")
   }).catch(e => {
-    showMessageError("创建任务失败："+e.message)
+    showMessageError("创建任务失败：" + e.message)
   })
 }
 
+const isGenerating = ref(false)
+const generatePrompt = () => {
+  if (formData.prompt === "") {
+    return showMessageError("请输入原始提示词")
+  }
+  isGenerating.value = true
+  httpPost("/api/prompt/image", {prompt: formData.prompt}).then(res => {
+    formData.prompt = res.data
+    isGenerating.value = false
+  }).catch(e => {
+    showMessageError("生成提示词失败：" + e.message)
+    isGenerating.value = false
+  })
+}
 
 </script>
 

web/src/views/MarkMap.vue

@@ -23,7 +23,7 @@
                 请选择生成思维导图的AI模型
               </div>
               <div class="param-line">
-                <el-select v-model="modelID" placeholder="请选择模型" @change="changeModel" style="width:100%">
+                <el-select v-model="modelID" placeholder="请选择模型" style="width:100%">
                   <el-option
                       v-for="item in models"
                       :key="item.id"
@@ -243,6 +243,8 @@ const downloadImage = () => {
   canvas.height = svgElement.offsetHeight
   let context = canvas.getContext('2d')
   context.clearRect(0, 0, canvas.width, canvas.height);
+  context.fillStyle = 'white';
+  context.fillRect(0, 0, canvas.width, canvas.height);
 
   image.onload = function () {
     context.drawImage(image, 0, 0)

web/src/views/Suno.vue

@@ -111,7 +111,7 @@
             </el-popover>
           </div>
           <div class="item">
-            <black-input v-model:value="data.prompt" type="textarea" :rows="10" placeholder="例如：一首关于鸟人的摇滚歌曲..."/>
+            <black-input v-model:value="data.prompt" type="textarea" :rows="10" placeholder="例如：一首关于爱情的摇滚歌曲..."/>
           </div>
         </div>
 
@@ -266,7 +266,7 @@
       </div>
     </div>
 
-    <black-dialog v-model:show="showDialog" title="修改歌曲" @cancal="showDialog = false" @confirm="updateSong" :width="500">
+    <black-dialog v-model:show="showDialog" title="修改歌曲" @cancal="showDialog = false" @confirm="updateSong" :width="500+'px'">
       <form class="form">
         <div class="form-item">
           <div class="label">歌曲名称</div>
@@ -615,7 +615,7 @@ const createLyric = () => {
     return showMessageError("请输入歌词描述")
   }
   isGenerating.value = true
-  httpPost("/api/suno/lyric", {prompt: data.value.lyrics}).then(res => {
+  httpPost("/api/prompt/lyric", {prompt: data.value.lyrics}).then(res => {
     const lines = res.data.split('\n');
     data.value.title = lines.shift().replace(/\*/g,"")
     lines.shift()

web/src/views/admin/Apps.vue

@@ -37,7 +37,7 @@
           </template>
         </el-table-column>
         <el-table-column label="打招呼信息" prop="hello_msg"/>
-        <el-table-column label="操作" width="150" align="right">
+        <el-table-column label="操作" width="150">
           <template #default="scope">
             <el-button size="small" type="primary" @click="rowEdit(scope.$index, scope.row)">编辑</el-button>
             <el-popconfirm title="确定要删除当前应用吗?" @confirm="removeRole(scope.row)" :width="200">
@@ -128,10 +128,14 @@
             <el-table :data="role.context" :border="childBorder" size="small">
               <el-table-column label="对话应用" width="120">
                 <template #default="scope">
-                  <el-input
-                      v-model="scope.row.role"
-                      autocomplete="off"
-                  />
+                  <el-select v-model="scope.row.role" placeholder="Role">
+                    <el-option
+                        v-for="value in messageRoles"
+                        :key="value"
+                        :label="value"
+                        :value="value"
+                    />
+                  </el-select>
                 </template>
               </el-table-column>
               <el-table-column label="对话内容">
@@ -153,11 +157,40 @@
                   <div class="context-msg-content">
                     <el-input
                         type="textarea"
-                        :rows="2"
+                        :rows="3"
                         v-model="scope.row.content"
                         autocomplete="off"
+                        v-loading="isGenerating"
                     />
-                    <span><el-icon @click="removeContext(scope.$index)"><RemoveFilled/></el-icon></span>
+                    <span class="remove-item">
+                      <el-tooltip effect="dark" content="删除当前行" placement="right">
+                        <el-button circle type="danger" size="small">
+                          <el-icon @click="removeContext(scope.$index)"><Delete /></el-icon>
+                        </el-button>
+                      </el-tooltip>
+
+                      <el-popover placement="right" :width="400" trigger="click">
+                        <template #reference>
+                          <el-button type="primary" circle size="small" class="icon-btn">
+                            <i class="iconfont icon-linggan"></i>
+                          </el-button>
+                        </template>
+                        <el-input
+                            type="textarea"
+                            :rows="3"
+                            v-model="metaPrompt"
+                            autocomplete="off"
+                            placeholder="请您输入要 AI实现的目标，任务或者需要AI扮演的角色？"
+                        />
+                        <el-row class="text-line">
+                           <el-text class="mx-1" type="info" size="small">使用 AI 生成 System 预设指令</el-text>
+                          <el-button class="generate-btn" size="small" @click="generatePrompt(scope.row)" color="#5865f2" :disabled="isGenerating">
+                            <i class="iconfont icon-chuangzuo"></i>
+                            <span>立即生成</span>
+                          </el-button>
+                        </el-row>
+                      </el-popover>
+                    </span>
                   </div>
                 </template>
               </el-table-column>
@@ -182,13 +215,14 @@
 
 <script setup>
 
-import {Plus, RemoveFilled} from "@element-plus/icons-vue";
+import {Delete, Plus} from "@element-plus/icons-vue";
 import {onMounted, reactive, ref} from "vue";
 import {httpGet, httpPost} from "@/utils/http";
 import {ElMessage} from "element-plus";
 import {copyObj, removeArrayItem} from "@/utils/libs";
 import {Sortable} from "sortablejs"
 import Compressor from "compressorjs";
+import {showMessageError} from "@/utils/dialog";
 
 const showDialog = ref(false)
 const parentBorder = ref(true)
@@ -213,6 +247,7 @@ const rules = reactive({
 
 const appTypes = ref([])
 const models = ref([])
+const messageRoles = ref(["system", "user", "assistant"])
 onMounted(() => {
   fetchData()
 
@@ -354,7 +389,23 @@ const uploadImg = (file) => {
       ElMessage.error('上传失败:' + e.message)
     },
   });
-};
+}
+
+const isGenerating = ref(false)
+const metaPrompt = ref("")
+const generatePrompt = (row) => {
+  if (metaPrompt.value === "") {
+    return showMessageError("请输入元提示词")
+  }
+  isGenerating.value = true
+  httpPost("/api/prompt/meta", {prompt: metaPrompt.value}).then(res => {
+    row.content = res.data
+    isGenerating.value = false
+  }).catch(e => {
+    showMessageError("生成失败："+e.message)
+    isGenerating.value = false
+  })
+}
 </script>
 
 <style lang="stylus" scoped>
@@ -391,12 +442,18 @@ const uploadImg = (file) => {
   .context-msg-content {
     display flex
 
-    .el-icon {
-      font-size: 20px;
-      margin-top 5px;
-      margin-left 5px;
-      cursor pointer
+    .remove-item {
+      display flex
+      padding 10px
+      flex-flow column
+      align-items center
+      justify-content  center
+
+      .icon-btn {
+        margin 10px 0 0 0
+      }
     }
+
   }
 
   .el-input--small {
@@ -421,4 +478,14 @@ const uploadImg = (file) => {
     justify-content right
   }
 }
+
+.text-line {
+  display flex
+  justify-content space-between
+  padding-top 10px
+  .iconfont {
+    margin-right 5px
+    font-size 14px
+  }
+}
 </style>

web/src/views/admin/Home.vue

@@ -49,7 +49,7 @@ watch(() => store.adminTheme, (val) => {
 
 </script>
 
-<style scoped lang="stylus">
+<style lang="stylus">
 @import '@/assets/css/color-dark.styl';
 @import '@/assets/css/main.styl';
 @import '@/assets/iconfont/iconfont.css';

web/src/views/admin/Redeem.vue

@@ -12,10 +12,14 @@
       </el-select>
       <el-button type="primary" :icon="Search" @click="fetchData">搜索</el-button>
       <el-button type="success" :icon="Plus" @click="add">添加兑换码</el-button>
+      <el-button type="primary" @click="exportItems" :loading="exporting"><i class="iconfont icon-export mr-1"></i> 导出
+      </el-button>
     </div>
 
     <el-row>
-      <el-table :data="items" :row-key="row => row.id">
+      <el-table :data="items" :row-key="row => row.id"
+                @selection-change="handleSelectionChange" table-layout="auto">
+        <el-table-column type="selection" width="38"></el-table-column>
         <el-table-column prop="name" label="名称"/>
         <el-table-column prop="code" label="兑换码">
           <template #default="scope">
@@ -48,7 +52,8 @@
 
         <el-table-column prop="enabled" label="启用状态">
           <template #default="scope">
-            <el-switch v-model="scope.row['enabled']" @change="set('enabled',scope.row)" :disabled="scope.row['redeemed_at']>0"/>
+            <el-switch v-model="scope.row['enabled']" @change="set('enabled',scope.row)"
+                       :disabled="scope.row['redeemed_at']>0"/>
           </template>
         </el-table-column>
 
@@ -90,7 +95,7 @@
           </el-form-item>
 
           <el-form-item label="生成数量：" prop="num">
-            <el-input v-model.number="item.num" />
+            <el-input v-model.number="item.num"/>
           </el-form-item>
         </el-form>
       </template>
@@ -107,17 +112,17 @@
 
 <script setup>
 import {onMounted, onUnmounted, ref} from "vue";
-import {httpGet, httpPost} from "@/utils/http";
+import {httpGet, httpPost, httpPostDownload} from "@/utils/http";
 import {ElMessage} from "element-plus";
-import {dateFormat, removeArrayItem, substr} from "@/utils/libs";
-import {Delete, DocumentCopy, Plus, Search, UploadFilled} from "@element-plus/icons-vue";
+import {dateFormat, substr, UUID} from "@/utils/libs";
+import {DocumentCopy, Plus, Search} from "@element-plus/icons-vue";
 import {showMessageError} from "@/utils/dialog";
 import ClipboardJS from "clipboard";
 
 // 变量定义
 const items = ref([])
 const loading = ref(true)
-const query = ref({code:"",status:-1})
+const query = ref({code: "", status: -1})
 const redeemStatus = ref([
   {value: -1, label: "全部"},
   {value: 0, label: "未核销"},
@@ -126,6 +131,8 @@ const redeemStatus = ref([
 const showDialog = ref(false)
 const dialogLoading = ref(false)
 const item = ref({name: "", power: 0, num: 1})
+const itemIds = ref([])
+const exporting = ref(false)
 
 const clipboard = ref(null)
 onMounted(() => {
@@ -152,10 +159,10 @@ const add = () => {
 }
 
 const save = () => {
-  if (item.value.name ===""){
+  if (item.value.name === "") {
     return showMessageError("请输入兑换码名称")
   }
-  if (item.value.power === 0){
+  if (item.value.power === 0) {
     return showMessageError("请输入算力额度")
   }
   if (item.value.num <= 0) {
@@ -207,12 +214,39 @@ const remove = function (row) {
     ElMessage.error("删除失败：" + e.message)
   })
 }
+
+const handleSelectionChange = (items) => {
+  itemIds.value = items.map(item => item.id)
+}
+
+const exportItems = () => {
+  query.value.ids = itemIds.value
+  exporting.value = true
+  httpPostDownload("/api/admin/redeem/export", query.value).then(response => {
+    const url = window.URL.createObjectURL(new Blob([response.data]));
+    const link = document.createElement('a');
+    link.href = url;
+    link.setAttribute('download', UUID() + ".csv"); // 设置下载文件的名称
+    document.body.appendChild(link);
+    link.click();
+
+    // 移除 <a> 标签
+    document.body.removeChild(link);
+    window.URL.revokeObjectURL(url);
+    exporting.value = false
+  }).catch(() => {
+    exporting.value = false
+    showMessageError("下载失败")
+  })
+}
+
 </script>
 
 <style lang="stylus" scoped>
 .list {
   .handle-box {
     margin-bottom 20px
+
     .handle-input {
       max-width 150px;
       margin-right 10px;

web/src/views/admin/SysConfig.vue

@@ -153,14 +153,13 @@
                     </template>
                   </el-input>
                 </el-form-item>
-                <el-form-item label="默认AI模型" prop="default_models">
+                <el-form-item label="默认翻译模型">
                   <template #default>
                     <div class="tip-input">
                       <el-select
-                          v-model="system['default_models']"
-                          multiple
+                          v-model.number="system['translate_model_id']"
                           :filterable="true"
-                          placeholder="选择AI模型，多选"
+                          placeholder="选择一个默认模型来翻译提示词"
                           style="width: 100%"
                       >
                         <el-option

web/src/views/mobile/pages/ImageMj.vue

@@ -434,7 +434,7 @@ const fetchFinishJobs = (page) => {
         jobs[i]['thumb_url'] = jobs[i]['img_url'] + '?imageView2/1/w/480/h/480/q/75'
       }
 
-      if ((jobs[i].type === 'image' || jobs[i].type === 'variation') && jobs[i].progress === 100){
+      if (jobs[i].type !== 'upscale' && jobs[i].progress === 100){
         jobs[i]['can_opt'] = true
       }
     }

web/vue.config.js

@@ -14,7 +14,7 @@ module.exports = defineConfig({
         ]
     },
 
-    publicPath: process.env.NODE_ENV === 'production' ? '/' : '/',
+    publicPath: '/',
 
     outputDir: 'dist',
     crossorigin: "anonymous",