prompts-core/service/compose_service.go

package service

import (
	"context"
	"encoding/json"
	"errors"
	"fmt"
	"strings"
	"time"

	"prompts-core/consts/public"
	"prompts-core/dao"
	"prompts-core/model/dto"
	"prompts-core/model/entity"

	"github.com/gogf/gf/v2/container/gvar"
	"github.com/gogf/gf/v2/frame/g"
)

// ============================================
// 核心业务流程
// ============================================

// ComposeMessages 拼接提示词主流程
func (s *promptService) ComposeMessages(ctx context.Context, req *dto.ComposeMessagesReq) (*dto.ComposeMessagesRes, error) {
	var (
		epicycleId      int64
		err             error
		historyMessages []Message // 用来存放历史会话
	)
	// 1. 如果不需要构建返回记录id
	if req.IsBuilder == false {
		epicycleId, err = dao.ComposeSession.Insert(ctx, &entity.ComposeSession{
			SessionId: req.SessionId,
			Remark:    req.Cause,
		})
		return &dto.ComposeMessagesRes{
			EpicycleId: epicycleId,
		}, nil
	}

	// 2. 获取当前用户模型信息
	sessionModel, err := dao.Model.GetByIsChatModel(ctx) //获取会话模型
	if err != nil {
		return nil, err
	}
	if sessionModel == nil {
		return nil, errors.New("当前没有对话模型，请添加")
	}
	model, err := dao.Model.GetByModelName(ctx, req.ModelName) //获取模型信息
	if err != nil {
		return nil, err
	}
	if model == nil {
		return nil, fmt.Errorf("模型 %s 不存在", sessionModel.ModelName)
	}

	// 3 获取历史会话
	historyMessages, err = Session.GetSessionHistoryForInference(ctx, req.SessionId)
	if err != nil {
		g.Log().Errorf(ctx, "获取历史会话失败: %v，将不使用历史会话", err)
		historyMessages = nil // 出错就用空的，不影响主流程
	}

	// 4. 调用推理模型
	taskID, err := s.callInferenceModel(ctx, req, sessionModel, model, historyMessages)
	if err != nil {
		return nil, err
	}

	// 5. 保存相关记录
	_, err = dao.ComposeTask.Insert(ctx, &entity.ComposeTask{
		TaskId:         taskID,
		ModelName:      req.ModelName,
		SkillName:      req.SkillName,
		RequestPayload: mustMarshal(req),
		Status:         public.ComposeStatusPending,
	})
	if err != nil {
		return nil, err
	}

	// 6. 等待结果
	taskRecord, err := s.waitForResult(ctx, taskID)
	if err != nil {
		return nil, err
	}

	// 7. 处理返回结果
	messages := s.processResult(taskRecord)

	//8.1 数据库查询当前会话是否存在
	session, err := dao.ComposeSession.GetBySessionId(ctx, req.SessionId)
	if err != nil {
		return nil, err
	}
	if session == nil {
		//8.2 不存在则创建新会话记录
		epicycleId, err = dao.ComposeSession.Insert(ctx, &entity.ComposeSession{
			SessionId:      req.SessionId,
			RequestContent: messages,
		})
		if err != nil {
			return nil, err
		}
	}

	// 9. 更新历史会话
	_, err = dao.ComposeSession.UpdateById(ctx, epicycleId, map[string]any{
		entity.ComposeSessionCol.RequestContent: messages,
	})

	return &dto.ComposeMessagesRes{
		Messages:   messages,
		EpicycleId: epicycleId,
	}, nil
}

func (s *promptService) Callback(ctx context.Context, req *dto.CallbackReq) error {
	g.Log().Infof(ctx, "[Callback][RECV] taskId=%s state=%d ossFile=%s fileType=%s textLen=%d",
		req.TaskId, req.State, req.OssFile, req.FileType, len(req.Text))

	// ============ 先查任务是否存在 ============
	task, err := dao.ComposeTask.GetByTaskId(ctx, req.TaskId)
	if err != nil {
		return err
	}
	if task == nil {
		return fmt.Errorf("任务不存在: %s", req.TaskId)
	}
	// ============ 根据状态区分处理 ============
	if req.State == 3 {
		// 失败：直接更新状态
		_, err = dao.ComposeTask.UpdateByTaskId(ctx, req.TaskId, map[string]any{
			entity.ComposeTaskCol.Status:       public.ComposeStatusFailed,
			entity.ComposeTaskCol.ErrorMessage: req.ErrorMsg,
		})
		return err
	}
	// ======================================
	// 成功：解析模型输出
	result, err := parseModelOutput(req.Text)
	if err != nil {
		_, updateErr := dao.ComposeTask.UpdateByTaskId(ctx, req.TaskId, map[string]any{
			entity.ComposeTaskCol.Status:       public.ComposeStatusFailed,
			entity.ComposeTaskCol.ErrorMessage: err.Error(),
		})
		if updateErr != nil {
			g.Log().Warningf(ctx, "[Callback] 更新失败状态出错 taskId=%s err=%v", req.TaskId, updateErr)
		}
		return err
	}

	// ============ result 可能为 nil ============
	var messages any
	if result != nil {
		messages = result
	}
	// =======================================

	_, err = dao.ComposeTask.UpdateByTaskId(ctx, req.TaskId, map[string]any{
		entity.ComposeTaskCol.Status:   public.ComposeStatusSuccess,
		entity.ComposeTaskCol.Messages: messages,
	})
	if err != nil {
		g.Log().Errorf(ctx, "[Callback] 更新任务失败 taskId=%s err=%v", req.TaskId, err)
	}
	return err
}

// GetComposeTask 查询任务结果
func (s *promptService) GetComposeTask(ctx context.Context, taskID string) (*dto.GetComposeTaskRes, error) {
	record, err := dao.ComposeTask.GetByTaskId(ctx, taskID)
	if err != nil {
		return nil, err
	}
	if record == nil {
		return nil, fmt.Errorf("未找到任务(taskId=%s)", taskID)
	}

	// 如果 Messages 是字符串，反序列化为 JSON 数组
	messages := record.Messages
	if str, ok := messages.(string); ok && str != "" {
		var parsed any
		if err := json.Unmarshal([]byte(str), &parsed); err == nil {
			messages = parsed
		}
	}

	return &dto.GetComposeTaskRes{
		TaskId:       record.TaskId,
		Status:       record.Status,
		ErrorMessage: record.ErrorMessage,
		Messages:     messages,
	}, nil
}

// ============================================
// 步骤4：调用推理模型
// ============================================

func (s *promptService) callInferenceModel(ctx context.Context, req *dto.ComposeMessagesReq, sessionModel *entity.AsynchModel, model *entity.AsynchModel, historyMessages []Message) (string, error) {
	// 构建推理模型请求
	taskReq, err := buildInferenceRequest(ctx, req, sessionModel, model, historyMessages)
	if err != nil {
		return "", fmt.Errorf("构建推理请求失败: %w", err)
	}

	// 创建网关任务
	taskID, err := createGatewayTask(ctx, taskReq)
	if err != nil {
		return "", fmt.Errorf("创建网关任务失败: %w", err)
	}

	if taskID == "" {
		return "", errors.New("网关未返回taskId")
	}

	return taskID, nil
}

// ============================================
// 步骤6：等待结果
// ============================================

func (s *promptService) waitForResult(ctx context.Context, taskID string) (*entity.ComposeTask, error) {
	timeout := time.Duration(getIntConfig(ctx, "task.waitTimeoutSeconds", 30)) * time.Second
	pollInterval := time.Duration(getIntConfig(ctx, "task.pollIntervalMillis", 500)) * time.Millisecond
	deadline := time.Now().Add(timeout)

	for {
		// 1. 查数据库
		record, err := dao.ComposeTask.GetByTaskId(ctx, taskID)
		if err != nil {
			return nil, err
		}
		if record != nil {
			switch record.Status {
			case public.ComposeStatusSuccess:
				return record, nil
			case public.ComposeStatusFailed:
				return nil, formatTaskError(taskID, record.ErrorMessage)
			}
		}

		// 2. 查网关状态
		state, err := queryGatewayTaskState(ctx, taskID)
		if err != nil {
			// ============ 网关不可达不终止，继续轮询 ============
			g.Log().Warningf(ctx, "[waitForResult] 查询网关失败 taskId=%s err=%v", taskID, err)
		} else {
			switch state {
			case 2: // 网关成功
				// ============ 网关已成功，主动更新数据库 ============
				if record != nil {
					dao.ComposeTask.UpdateByTaskId(ctx, taskID, map[string]any{
						entity.ComposeTaskCol.Status: public.ComposeStatusSuccess,
					})
				}
			case 3: // 网关失败
				if record != nil {
					dao.ComposeTask.UpdateByTaskId(ctx, taskID, map[string]any{
						entity.ComposeTaskCol.Status:       public.ComposeStatusFailed,
						entity.ComposeTaskCol.ErrorMessage: "model-gateway 任务执行失败",
					})
				}
				return nil, fmt.Errorf("model-gateway 任务执行失败(taskId=%s)", taskID)
			}
		}

		// 3. 超时检查
		if time.Now().After(deadline) {
			return nil, fmt.Errorf("等待任务回调超时(taskId=%s)", taskID)
		}
		time.Sleep(pollInterval)
	}
}

// ============================================
// 步骤6：处理结果
// ============================================
func (s *promptService) processResult(taskRecord *entity.ComposeTask) map[string]any {
	if taskRecord == nil {
		return nil
	}

	// 1. 解析 Messages 获取 content
	var contentStr string
	switch v := taskRecord.Messages.(type) {
	case *gvar.Var:
		if v != nil {
			var mapped map[string]any
			json.Unmarshal([]byte(v.String()), &mapped)
			if c, ok := mapped["content"].(string); ok {
				contentStr = c
			}
		}
	case string:
		var mapped map[string]any
		json.Unmarshal([]byte(v), &mapped)
		if c, ok := mapped["content"].(string); ok {
			contentStr = c
		}
	case map[string]any:
		if c, ok := v["content"].(string); ok {
			contentStr = c
		}
	}

	// 2. 清理并解析
	contentStr = cleanJSONString(contentStr)
	var innerData map[string]any
	json.Unmarshal([]byte(contentStr), &innerData)

	return innerData
}

// ============================================
// 消息处理管道
// ============================================

// parseStoredMessages 从数据库存储的数据中解析消息列表
// 处理多层 JSON 嵌套的情况
func parseStoredMessages(data any) []dto.Message {
	if data == nil {
		return nil
	}

	// 统一序列化为 JSON
	jsonBytes, err := json.Marshal(data)
	if err != nil {
		return nil
	}

	// 第一层解析：尝试直接解析为消息数组
	var messages []dto.Message
	if err := json.Unmarshal(jsonBytes, &messages); err == nil {
		// 成功解析，但需要处理 content 可能是 JSON 字符串的情况
		return deepNormalizeMessages(messages)
	}

	// 第二层解析：可能是 JSON 字符串包裹的数组
	var rawStr string
	if err := json.Unmarshal(jsonBytes, &rawStr); err != nil {
		return nil
	}

	// 尝试解析字符串为消息数组
	if err := json.Unmarshal([]byte(rawStr), &messages); err == nil {
		return deepNormalizeMessages(messages)
	}

	return nil
}

// deepNormalizeMessages 深度规范化消息，处理 content 为 JSON 字符串的情况
func deepNormalizeMessages(messages []dto.Message) []dto.Message {
	for i, msg := range messages {
		messages[i].Content = deepNormalizeContent(msg.Content)
	}
	return messages
}

// deepNormalizeContent 递归处理 content，支持多层 JSON 嵌套
func deepNormalizeContent(content any) any {
	switch v := content.(type) {
	case string:
		// 尝试解析 JSON 字符串
		v = strings.TrimSpace(v)
		if v == "" {
			return v
		}

		// 如果看起来像 JSON，尝试解析
		if looksLikeJSON(v) {
			var parsed any
			if err := json.Unmarshal([]byte(v), &parsed); err == nil {
				// 递归处理解析后的内容
				return deepNormalizeContent(parsed)
			}
		}
		return v

	case []any:
		// 递归处理数组中的每个元素
		result := make([]any, len(v))
		for i, item := range v {
			result[i] = deepNormalizeContent(item)
		}
		return result

	case map[string]any:
		// 递归处理 map 中的每个值
		result := make(map[string]any, len(v))
		for k, val := range v {
			result[k] = deepNormalizeContent(val)
		}
		return result

	default:
		return content
	}
}

func NormalizeToTwoPart(messages []dto.Message, req *dto.ComposeMessagesReq) []dto.Message {
	var result []dto.Message

	// 1. 提取 system
	sysContent := extractByRole(messages, "system")
	if sysContent == nil {
		sysContent = renderFormText(req.Form, false)
	}
	result = append(result, dto.Message{Role: "system", Content: sysContent})

	// 2. 提取 form
	formContent := extractByRole(messages, "form")
	if formContent != nil {
		result = append(result, dto.Message{Role: "form", Content: formContent})
	} else if req != nil {
		result = append(result, dto.Message{Role: "form", Content: renderFormJSON(req.Form)})
	}

	// 3. 提取 skill
	skillContent := extractByRole(messages, "skill")
	if skillContent != nil {
		result = append(result, dto.Message{Role: "skill", Content: skillContent})
	} else if req != nil && req.SkillName != "" {
		result = append(result, dto.Message{Role: "skill", Content: req.SkillName})
	}

	// 4. 提取 history（如果模型返回了压缩后的历史）
	historyContent := extractByRole(messages, "history")
	if historyContent != nil {
		result = append(result, dto.Message{Role: "history", Content: historyContent})
	}

	// 5. 提取 user
	usrContent := extractByRole(messages, "user")
	if usrContent == nil {
		usrContent = renderUserText(req.UserForm, req.Form)
	}
	result = append(result, dto.Message{Role: "user", Content: usrContent})

	return result
}

// ============================================
// 辅助函数：按 role 提取第一个非空 content
// ============================================

func extractByRole(messages []dto.Message, role string) any {
	for _, msg := range messages {
		if msg.Role == role && !isEmptyValue(msg.Content) {
			return msg.Content
		}
	}
	return nil
}

// ============================================
// 辅助函数：将 form 渲染为 JSON 对象
// ============================================

func renderFormJSON(form map[string]any) map[string]any {
	if form == nil {
		return nil
	}
	result := make(map[string]any)
	for k, v := range form {
		result[k] = v
	}
	return result
}

func enrichSystemMessages(messages []dto.Message, req *dto.ComposeMessagesReq) []dto.Message {
	if len(messages) == 0 {
		return messages
	}

	// 获取系统字段的值映射
	systemValues := extractSystemValues(req)

	for i, msg := range messages {
		if msg.Role != "system" {
			continue
		}

		// 为 schema 数组补充 value
		switch content := msg.Content.(type) {
		case []any:
			messages[i].Content = enrichSchemaWithValues(content, systemValues)
		case []map[string]any:
			arr := make([]any, len(content))
			for j, item := range content {
				arr[j] = item
			}
			messages[i].Content = enrichSchemaWithValues(arr, systemValues)
		case map[string]any:
			// 合并但不覆盖已有值
			for k, v := range systemValues {
				if _, exists := content[k]; !exists {
					content[k] = v
				}
			}
			messages[i].Content = content
		}
	}

	return messages
}