package llm

import (
	"encoding/json"
	"eta/eta_api/models/llm/dfa"
	"eta/eta_api/utils"
	dfaUtils "eta/eta_api/utils/llm/algorithm/dfa"
	"fmt"
	"github.com/panjf2000/ants"
	"runtime"
	"strings"
	"sync"
	"time"
)

var (
	dafOnce sync.Once

	dafHandler *DAFHandler
)

type TagName string
type SensitiveWord string
type DAFHandler struct {
	dfa              *dfaUtils.DFA
	WorkerPool       *ants.Pool
	SensitiveWordMap map[SensitiveWord]TagName
}
type DAFService interface {
	// ReloadSensitiveWordMap 重新加载敏感词
	ReloadSensitiveWordMap()
	// GetTextTagLabels 处理文本标签
	GetTextTagLabels(task *dfa.ArticleDfaTagMapping)
	// RejectCallback 携程池拒绝策略
	RejectCallback(p interface{})
	// BatchSubmitTasks 批量提交任务
	BatchSubmitTasks(tasks []*dfa.ArticleDfaTagMapping)
}

func (d *DAFHandler) BatchSubmitTasks(tasks []*dfa.ArticleDfaTagMapping) {
	// 创建结果收集通道
	results := make(chan *dfa.ArticleDfaTagMapping, len(tasks))
	var wg sync.WaitGroup
	for _, task := range tasks {
		wg.Add(1)
		// 复制task以避免并发问题
		currentTask := *task
		time.Sleep(200 * time.Millisecond)
		err := d.WorkerPool.Submit(func() {
			defer wg.Done()
			d.GetTextTagLabels(&currentTask)
			results <- &currentTask
		})
		if err != nil {
			utils.FileLog.Error("提交任务失败:", err.Error())
			wg.Done()
		}
	}
	// 等待所有任务完成
	go func() {
		wg.Wait()
		close(results)
	}()

	// 收集所有结果
	var processedTasks []*dfa.ArticleDfaTagMapping
	for task := range results {
		processedTasks = append(processedTasks, task)
	}
	fmt.Println(fmt.Sprintf("处理完成，开始批量插入数据...,%d", len(processedTasks)))
	// 批量插入
	if len(processedTasks) > 0 {
		if err := d.BatchInsert(processedTasks); err != nil {
			utils.FileLog.Error("批量插入文章系统提示词结果失败:", err.Error())
		}
	}
}
func (d *DAFHandler) RejectCallback(p interface{}) {
	fmt.Printf(fmt.Sprintf("任务被拒绝: %v", p))
}

type SensitiveWordStruct struct {
	Title   map[string]int
	Content map[string]int
}

func (d *DAFHandler) GetTextTagLabels(task *dfa.ArticleDfaTagMapping) {
	var TagResult = make(map[TagName]int)
	var titleResult, contentResult map[string]int
	if task.ArticleContent != "" {
		contentResult = d.dfa.Search(task.ArticleContent)
		for k, v := range contentResult {
			if tag, ok := d.SensitiveWordMap[SensitiveWord(k)]; ok {
				TagResult[tag] = TagResult[tag] + v
			}
		}
	}
	if task.ArticleTitle != "" {
		titleResult = d.dfa.Search(task.ArticleTitle)
		for k, v := range titleResult {
			if tag, ok := d.SensitiveWordMap[SensitiveWord(k)]; ok {
				TagResult[tag] = TagResult[tag] + v*10
			}
		}
	}
	item := SensitiveWordStruct{
		Content: contentResult,
		Title:   titleResult,
	}
	for k, v := range TagResult {
		if v < 20 {
			delete(TagResult, k)
		}
	}
	var allValues []string
	for k, _ := range TagResult {
		allValues = append(allValues, string(k))
	}
	task.TagName = strings.Join(allValues, ",")
	str, _ := json.Marshal(item)
	task.SensitiveWords = string(str)
}
func (d *DAFHandler) ReloadSensitiveWordMap() {
	d.SensitiveWordMap = initSensitiveWords()
}

func (d *DAFHandler) BatchInsert(tasks []*dfa.ArticleDfaTagMapping) (err error) {
	return dfa.BatchInsertArticleDfaTagMapping(tasks)

}
func initSensitiveWords() (sensitiveWordMap map[SensitiveWord]TagName) {
	list, err := dfa.GetList()
	if err != nil {
		return nil
	}
	sensitiveWordMap = make(map[SensitiveWord]TagName)
	for _, item := range list {
		sensitiveWordMap[SensitiveWord(item.SensitiveWord)] = TagName(item.TagName)
	}
	return
}

func initThreadPool() (threadPool *ants.Pool) {
	cpuCores := runtime.NumCPU()
	threadPool, _ = ants.NewPool(cpuCores,
		ants.WithExpiryDuration(10*time.Second),          // worker的过期时间
		ants.WithPreAlloc(true),                          // 预分配内存
		ants.WithMaxBlockingTasks(2*cpuCores),            // 最大阻塞任务数
		ants.WithNonblocking(false),                      // 非阻塞模式
		ants.WithPanicHandler(dafHandler.RejectCallback), // 自定义panic处理
	)
	return
}

func RejectCallback(err error) {
	// 处理被拒绝的请求
	//请求被拒绝处理

}

func GetDAFHandlerInstance() DAFService {
	if dafHandler == nil {
		dafOnce.Do(func() {
			dafHandler = &DAFHandler{
				SensitiveWordMap: initSensitiveWords(),
				WorkerPool:       initThreadPool(),
			}
			var sensitiveWords []string
			for k := range dafHandler.SensitiveWordMap {
				sensitiveWords = append(sensitiveWords, string(k))
			}
			dfa := dfaUtils.NewDFA()
			dfa.Build(sensitiveWords)
			dafHandler.dfa = dfa
		})
	}
	return dafHandler
}