eta_api/services/data/stl/stl.go

package stl

import (
	"encoding/json"
	"errors"
	"eta/eta_api/models/data_manage"
	"eta/eta_api/models/data_manage/stl"
	"eta/eta_api/models/data_manage/stl/request"
	"eta/eta_api/models/data_manage/stl/response"
	"eta/eta_api/services/data"
	"eta/eta_api/services/data/data_manage_permission"
	"eta/eta_api/services/elastic"
	"eta/eta_api/utils"
	"fmt"
	"os"
	"os/exec"
	"path/filepath"
	"strconv"
	"strings"
	"time"

	"github.com/rdlucklib/rdluck_tools/paging"
	"github.com/tealeg/xlsx"
)

const (
	ALL_DATE = iota + 1
	LAST_N_YEARS
	RANGE_DATE
	RANGE_DATE_TO_NOW
)

var EDB_DATA_CALCULATE_STL_TREND_CACHE = `eta:stl_decompose:trend:config_id:`
var EDB_DATA_CALCULATE_STL_SEASONAL_CACHE = `eta:stl_decompose:seasonal:config_id:`
var EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE = `eta:stl_decompose:residual:config_id:`

func GenerateStlEdbData(req *request.StlConfigReq, adminId int) (resp *response.StlPreviewResp, msg string, err error) {
	config, err := stl.GetCalculateStlConfigById(req.CalculateStlConfigId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "配置信息不存在，请重新计算"
			return
		}
		msg = "获取配置信息失败"
		return
	}
	var confReq request.StlConfigReq
	if err = json.Unmarshal([]byte(config.Config), &confReq); err != nil {
		msg = "预览失败"
		err = fmt.Errorf("配置信息解析失败, err:%s", err.Error())
		return
	}
	edbInfo, err := data_manage.GetEdbInfoById(confReq.EdbInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "指标不存在"
			return
		}
		msg = "获取指标信息失败"
		return
	}
	var condition string
	var pars []interface{}
	switch confReq.DataRangeType {
	case ALL_DATE:
	case LAST_N_YEARS:
		condition += " AND data_time >=?"
		year := time.Now().Year()
		lastDate := time.Date(year-confReq.LastNYear, 1, 1, 0, 0, 0, 0, time.Local)
		pars = append(pars, lastDate)
	case RANGE_DATE:
		condition = " AND data_time >=? AND data_time <=?"
		pars = append(pars, confReq.StartDate, confReq.EndDate)
	case RANGE_DATE_TO_NOW:
		condition = " AND data_time >=?"
		pars = append(pars, confReq.StartDate)
	}
	condition += " AND edb_code =?"
	pars = append(pars, edbInfo.EdbCode)

	edbData, err := data_manage.GetAllEdbDataListByCondition(condition, pars, edbInfo.Source, edbInfo.SubSource)
	if err != nil {
		msg = "获取指标数据失败"
		return
	}

	var condMsg string
	if confReq.Period < 2 || confReq.Period > len(edbData) {
		condMsg += "period必须是一个大于等于2的正整数，且必须小于时间序列的长度"
	}
	if confReq.Seasonal < 3 || confReq.Seasonal%2 == 0 || confReq.Seasonal <= confReq.Period {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "seasonal必须是一个大于等于3的奇整数，且必须大于period"
	}
	if confReq.Trend < 3 || confReq.Trend%2 == 0 || confReq.Trend <= confReq.Period {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "trend必须是一个大于等于3的奇整数，且必须大于period"
	}
	if confReq.Fraction < 0 || confReq.Fraction > 1 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "fraction必须是一个介于[0-1]之间"
	}
	if 1 > confReq.TrendDeg || confReq.TrendDeg > 5 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "trend_deg请设置成1-5的整数"
	}
	if 1 > confReq.SeasonalDeg || confReq.SeasonalDeg > 5 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "seasonal_deg请设置成1-5的整数"
	}
	if 1 > confReq.LowPassDeg || confReq.LowPassDeg > 5 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "low_pass_deg请设置成1-5的整数"
	}
	if condMsg != "" {
		msg = condMsg
		err = fmt.Errorf("参数错误")
		return
	}

	dir, _ := os.Executable()
	exPath := filepath.Dir(dir) + "/static/stl_tmp"
	err = CheckOsPathAndMake(exPath)
	if err != nil {
		msg = "计算失败"
		return
	}
	loadFilePath := exPath + "/" + strconv.Itoa(adminId) + "_" + time.Now().Format(utils.FormatDateTimeUnSpace) + ".xlsx"
	err = SaveToExcel(edbData, loadFilePath)
	if err != nil {
		msg = "保存数据到Excel失败"
		return
	}
	defer os.Remove(loadFilePath)

	saveFilePath := exPath + "/" + strconv.Itoa(adminId) + "_" + time.Now().Format(utils.FormatDateTimeUnSpace) + "_res" + ".xlsx"
	result, err := execStlPythonCode(loadFilePath, saveFilePath, confReq.Period, confReq.Seasonal, confReq.Trend, confReq.TrendDeg, confReq.SeasonalDeg, confReq.LowPassDeg, confReq.Fraction, confReq.Robust)
	if err != nil {
		msg = "计算失败，请重新选择指标和参数后计算"
	}
	trendChart, seasonalChart, residualChart, err := ParseStlExcel(saveFilePath)
	if err != nil {
		msg = "解析Excel失败"
		return
	}
	defer os.Remove(saveFilePath)
	resp = new(response.StlPreviewResp)
	resp.OriginEdbInfo.Title = edbInfo.EdbName
	resp.OriginEdbInfo.Frequency = edbInfo.Frequency
	resp.OriginEdbInfo.Unit = edbInfo.Unit
	resp.OriginEdbInfo.DataList = formatEdbData(edbData)
	resp.TrendChartInfo.DataList = trendChart.DataList
	resp.TrendChartInfo.Title = edbInfo.EdbName + "Trend"
	resp.TrendChartInfo.Frequency = edbInfo.Frequency
	resp.TrendChartInfo.Unit = edbInfo.Unit
	resp.SeasonalChartInfo.DataList = seasonalChart.DataList
	resp.SeasonalChartInfo.Title = edbInfo.EdbName + "Seasonal"
	resp.SeasonalChartInfo.Frequency = edbInfo.Frequency
	resp.SeasonalChartInfo.Unit = edbInfo.Unit
	resp.ResidualChartInfo.DataList = residualChart.DataList
	resp.ResidualChartInfo.Title = edbInfo.EdbName + "Residual"
	resp.ResidualChartInfo.Frequency = edbInfo.Frequency
	resp.ResidualChartInfo.Unit = edbInfo.Unit
	resp.EvaluationResult.Mean = strconv.FormatFloat(result.ResidualMean, 'f', 4, 64)
	resp.EvaluationResult.Std = strconv.FormatFloat(result.ResidualVar, 'f', 4, 64)
	resp.EvaluationResult.AdfPValue = strconv.FormatFloat(result.AdfPValue, 'f', -1, 64)
	resp.EvaluationResult.LjungBoxPValue = strconv.FormatFloat(result.LbTestPValue, 'f', -1, 64)

	bTrend, _ := json.Marshal(trendChart.DataList)
	bSeasonal, _ := json.Marshal(seasonalChart.DataList)
	bResidual, _ := json.Marshal(residualChart.DataList)
	utils.Rc.Put(EDB_DATA_CALCULATE_STL_TREND_CACHE+strconv.Itoa(confReq.CalculateStlConfigId), bTrend, time.Hour*2)
	utils.Rc.Put(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE+strconv.Itoa(confReq.CalculateStlConfigId), bSeasonal, time.Hour*2)
	utils.Rc.Put(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE+strconv.Itoa(confReq.CalculateStlConfigId), bResidual, time.Hour*2)

	return
}

func formatEdbData(items []*data_manage.EdbData) []*response.EdbData {
	res := make([]*response.EdbData, 0, len(items))
	for _, item := range items {
		t, _ := time.Parse(utils.FormatDate, item.DataTime)
		res = append(res, &response.EdbData{
			DataTime:      item.DataTime,
			Value:         strconv.FormatFloat(item.Value, 'f', -1, 64),
			DataTimestamp: t.UnixMilli(),
		})
	}
	return res
}

func CheckOsPathAndMake(path string) (err error) {
	if _, er := os.Stat(path); os.IsNotExist(er) {
		err = os.MkdirAll(path, os.ModePerm)
	}
	return
}

func ParseStlExcel(excelPath string) (TrendChart, SeasonalChart, ResidualChart response.ChartEdbInfo, err error) {
	file, err := xlsx.OpenFile(excelPath)
	if err != nil {
		return
	}
	for _, sheet := range file.Sheets {
		switch sheet.Name {
		case "季节":
			for i, row := range sheet.Rows {
				if i == 0 {
					continue
				}
				var date string
				var dataTimestamp int64
				if row.Cells[0].Type() == xlsx.CellTypeNumeric {
					dataNum, _ := strconv.ParseFloat(row.Cells[0].Value, 64)
					tmpTime := xlsx.TimeFromExcelTime(dataNum, false)
					date = tmpTime.Format(utils.FormatDate)
					dataTimestamp = tmpTime.UnixMilli()
				} else {
					timeDate, _ := time.Parse(utils.FormatDateTime, date)
					date = timeDate.Format(utils.FormatDate)
					dataTimestamp = timeDate.UnixMilli()
				}
				fv, _ := row.Cells[1].Float()
				value := strconv.FormatFloat(fv, 'f', 4, 64)
				SeasonalChart.DataList = append(SeasonalChart.DataList, &response.EdbData{DataTime: date, Value: value, DataTimestamp: dataTimestamp})
			}
		case "趋势":
			for i, row := range sheet.Rows {
				if i == 0 {
					continue
				}
				var date string
				var dataTimestamp int64
				if row.Cells[0].Type() == xlsx.CellTypeNumeric {
					dataNum, _ := strconv.ParseFloat(row.Cells[0].Value, 64)
					tmpTime := xlsx.TimeFromExcelTime(dataNum, false)
					date = tmpTime.Format(utils.FormatDate)
					dataTimestamp = tmpTime.UnixMilli()
				} else {
					timeDate, _ := time.Parse(utils.FormatDateTime, date)
					date = timeDate.Format(utils.FormatDate)
					dataTimestamp = timeDate.UnixMilli()
				}
				fv, _ := row.Cells[1].Float()
				value := strconv.FormatFloat(fv, 'f', 4, 64)
				TrendChart.DataList = append(TrendChart.DataList, &response.EdbData{DataTime: date, Value: value, DataTimestamp: dataTimestamp})
			}
		case "残差":
			for i, row := range sheet.Rows {
				if i == 0 {
					continue
				}
				var date string
				var dataTimestamp int64
				if row.Cells[0].Type() == xlsx.CellTypeNumeric {
					dataNum, _ := strconv.ParseFloat(row.Cells[0].Value, 64)
					tmpTime := xlsx.TimeFromExcelTime(dataNum, false)
					date = tmpTime.Format(utils.FormatDate)
					dataTimestamp = tmpTime.UnixMilli()
				} else {
					timeDate, _ := time.Parse(utils.FormatDateTime, date)
					date = timeDate.Format(utils.FormatDate)
					dataTimestamp = timeDate.UnixMilli()
				}
				fv, _ := row.Cells[1].Float()
				value := strconv.FormatFloat(fv, 'f', 4, 64)
				ResidualChart.DataList = append(ResidualChart.DataList, &response.EdbData{DataTime: date, Value: value, DataTimestamp: dataTimestamp})
			}
		}
	}
	return
}

func SaveToExcel(data []*data_manage.EdbData, filePath string) (err error) {
	xlsxFile := xlsx.NewFile()
	sheetNew, err := xlsxFile.AddSheet("Tmp")
	if err != nil {
		return
	}
	titleRow := sheetNew.AddRow()
	titleRow.AddCell().SetString("日期")
	titleRow.AddCell().SetString("值")

	for i, d := range data {
		row := sheetNew.Row(i + 1)
		row.AddCell().SetString(d.DataTime)
		row.AddCell().SetFloat(d.Value)
	}
	err = xlsxFile.Save(filePath)
	if err != nil {
		return
	}
	return
}

type STLResult struct {
	ResidualMean float64 `json:"residual_mean"`
	ResidualVar  float64 `json:"residual_var"`
	AdfPValue    float64 `json:"adf_p_value"`
	LbTestPValue float64 `json:"lb_test_p_value"`
	LbTestStat   float64 `json:"lb_test_stat"`
}

func execStlPythonCode(path, toPath string, period, seasonal, trend, trendDeg, seasonalDeg, lowPassDeg int, fraction float64, robust bool) (stlResult *STLResult, err error) {
	pythonCode := `
import pandas as pd
from statsmodels.tsa.seasonal import STL
from statsmodels.nonparametric.smoothers_lowess import lowess
from statsmodels.tsa.stattools import adfuller
from statsmodels.stats.diagnostic import acorr_ljungbox
import numpy as np
import json
import warnings
warnings.filterwarnings('ignore')

file_path = r"%s"
df = pd.read_excel(file_path, parse_dates=['日期'])
df.set_index('日期', inplace=True)


period = %d
seasonal = %d
trend = %d
fraction = %g
seasonal_deg = %d
trend_deg = %d
low_pass_deg = %d
robust = %s

stl = STL(
    df['值'],
    period=period,
    seasonal=seasonal,
    trend=trend,
    low_pass=None,
    seasonal_deg=seasonal_deg,
    trend_deg=trend_deg,
    low_pass_deg=low_pass_deg,
    seasonal_jump=1,
    trend_jump=1,
    low_pass_jump=1,
    robust=robust
)
result = stl.fit()

smoothed = lowess(df['值'], df.index, frac=fraction)

trend_lowess = smoothed[:, 1]

# 季节图
seasonal_component = result.seasonal
# 趋势图
trend_lowess_series = pd.Series(trend_lowess, index=df.index)
# 残差图
residual_component = df['值'] - trend_lowess - seasonal_component

# 计算打印残差的均值
residual_mean = np.mean(residual_component)
# 计算打印残差的方差
residual_var = np.std(residual_component)
# 计算打印残差的ADF检验结果, 输出p-value
adf_result = adfuller(residual_component)
# 根据p-value判断是否平稳
lb_test = acorr_ljungbox(residual_component, lags=period, return_df=True)

output_file = r"%s"

with pd.ExcelWriter(output_file) as writer:
    # 保存季节图
    pd.Series(seasonal_component, index=df.index, name='值').to_frame().reset_index().rename(columns={'index': '日期'}).to_excel(writer, sheet_name='季节', index=False)
    # 保存趋势图
    trend_lowess_series.to_frame(name='值').reset_index().rename(columns={'index': '日期'}).to_excel(writer, sheet_name='趋势', index=False)
    # 保存残差图
    pd.Series(residual_component, index=df.index, name='值').to_frame().reset_index().rename(columns={'index': '日期'}).to_excel(writer, sheet_name='残差', index=False)

output =  json.dumps({
    'residual_mean': residual_mean,
    'residual_var': residual_var,
    'adf_p_value': adf_result[1],
    'lb_test_p_value': lb_test['lb_pvalue'].values[0],
    'lb_test_stat': lb_test['lb_stat'].values[0]
})

print(output)
	`
	robustStr := "True"
	if !robust {
		robustStr = "False"
	}

	pythonCode = fmt.Sprintf(pythonCode, path, period, seasonal, trend, fraction, seasonalDeg, trendDeg, lowPassDeg, robustStr, toPath)
	cmd := exec.Command(`python3`, "-c", pythonCode)
	output, err := cmd.CombinedOutput()
	if err != nil {
		return
	}
	defer cmd.Process.Kill()
	if err = json.Unmarshal(output, &stlResult); err != nil {
		return
	}
	return
}

func SaveStlConfig(req *request.StlConfigReq, adminId int) (configId int64, msg string, err error) {
	edbInfo, err := data_manage.GetEdbInfoById(req.EdbInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "指标不存在"
			return
		}
		msg = "获取指标信息失败"
		return
	}
	var condition string
	var pars []interface{}
	switch req.DataRangeType {
	case ALL_DATE:
	case LAST_N_YEARS:
		condition += " AND data_time >=?"
		year := time.Now().Year()
		lastDate := time.Date(year-req.LastNYear, 1, 1, 0, 0, 0, 0, time.Local)
		pars = append(pars, lastDate)
	case RANGE_DATE:
		condition = " AND data_time >=? AND data_time <=?"
		pars = append(pars, req.StartDate, req.EndDate)
	case RANGE_DATE_TO_NOW:
		condition = " AND data_time >=?"
		pars = append(pars, req.StartDate)
	}
	condition += " AND edb_code =?"
	pars = append(pars, edbInfo.EdbCode)

	edbData, err := data_manage.GetAllEdbDataListByCondition(condition, pars, edbInfo.Source, edbInfo.SubSource)
	if err != nil {
		msg = "获取指标数据失败"
		return
	}

	var condMsg string
	if req.Period < 2 || req.Period > len(edbData) {
		condMsg += "period必须是一个大于等于2的正整数，且必须小于时间序列的长度"
	}
	if req.Seasonal < 3 || req.Seasonal%2 == 0 || req.Seasonal <= req.Period {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "seasonal必须是一个大于等于3的奇整数，且必须大于period"
	}
	if req.Trend < 3 || req.Trend%2 == 0 || req.Trend <= req.Period {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "trend必须是一个大于等于3的奇整数，且必须大于period"
	}
	if req.Fraction < 0 || req.Fraction > 1 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "fraction必须是一个介于[0-1]之间"
	}
	if 1 > req.TrendDeg || req.TrendDeg > 5 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "trend_deg请设置成1-5的整数"
	}
	if 1 > req.SeasonalDeg || req.SeasonalDeg > 5 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "seasonal_deg请设置成1-5的整数"
	}
	if 1 > req.LowPassDeg || req.LowPassDeg > 5 {
		if condMsg != "" {
			condMsg += "\n"
		}
		condMsg += "low_pass_deg请设置成1-5的整数"
	}
	if condMsg != "" {
		msg = condMsg
		err = fmt.Errorf("参数错误")
		return
	}
	b, err := json.Marshal(req)
	if err != nil {
		return
	}
	conf := new(stl.CalculateStlConfig)
	if req.CalculateStlConfigId > 0 {
		conf.CalculateStlConfigId = req.CalculateStlConfigId
		conf.Config = string(b)
		conf.ModifyTime = time.Now()
		err = conf.Update([]string{"Config", "ModifyTime"})
		configId = int64(req.CalculateStlConfigId)
	} else {
		conf.Config = string(b)
		conf.SysUserId = adminId
		conf.CreateTime = time.Now()
		conf.ModifyTime = time.Now()
		configId, err = conf.Insert()
	}
	return
}

func SearchEdbInfoWithStl(adminId int, keyWord string, currentIndex, pageSize int) (resp data_manage.EdbInfoFilterDataResp, msg string, err error) {
	var edbInfoList []*data_manage.EdbInfoList

	noPermissionEdbInfoIdList := make([]int, 0) //无权限指标
	// 获取当前账号的不可见指标
	{
		obj := data_manage.EdbInfoNoPermissionAdmin{}
		confList, er := obj.GetAllListByAdminId(adminId)
		if er != nil && er.Error() != utils.ErrNoRow() {
			msg = "获取失败"
			err = fmt.Errorf("获取不可见指标配置数据失败，Err:" + er.Error())
			return
		}
		for _, v := range confList {
			noPermissionEdbInfoIdList = append(noPermissionEdbInfoIdList, v.EdbInfoId)
		}
	}
	if currentIndex <= 0 {
		currentIndex = 1
	}
	startSize := utils.StartIndex(currentIndex, pageSize)

	// 是否走ES
	isEs := false
	var total int64
	if keyWord != "" {
		frequencyList := []string{"日度", "周度", "旬度", "月度", "季度"}

		// 普通的搜索
		total, edbInfoList, err = elastic.SearchEdbInfoDataByfrequency(utils.DATA_INDEX_NAME, keyWord, startSize, pageSize, 0, frequencyList, noPermissionEdbInfoIdList)
		isEs = true
	} else {
		var condition string
		var pars []interface{}
		// 普通指标
		condition += ` AND edb_info_type = ? `
		pars = append(pars, 0)

		// 无权限指标id
		lenNoPermissionEdbInfoIdList := len(noPermissionEdbInfoIdList)
		if lenNoPermissionEdbInfoIdList > 0 {
			condition += ` AND edb_info_id  not in (` + utils.GetOrmInReplace(lenNoPermissionEdbInfoIdList) + `) `
			pars = append(pars, noPermissionEdbInfoIdList)
		}

		//频度
		condition += ` AND frequency IN ('日度', '周度', '旬度', '月度', '季度') `

		total, edbInfoList, err = data_manage.GetEdbInfoFilterList(condition, pars, startSize, pageSize)
	}
	if err != nil {
		edbInfoList = make([]*data_manage.EdbInfoList, 0)
	}

	page := paging.GetPaging(currentIndex, pageSize, int(total))

	edbInfoListLen := len(edbInfoList)

	classifyIdList := make([]int, 0)
	for i := 0; i < edbInfoListLen; i++ {
		edbInfoList[i].EdbNameAlias = edbInfoList[i].EdbName
		classifyIdList = append(classifyIdList, edbInfoList[i].ClassifyId)
	}

	// 当前列表中的分类map
	classifyMap := make(map[int]*data_manage.EdbClassify)
	if edbInfoListLen > 0 {
		classifyList, er := data_manage.GetEdbClassifyByIdList(classifyIdList)
		if er != nil {
			msg = "获取失败"
			err = fmt.Errorf("获取分类列表失败，Err:" + er.Error())
			return
		}

		for _, v := range classifyList {
			classifyMap[v.ClassifyId] = v
		}

		// 获取所有有权限的指标和分类
		permissionEdbIdList, permissionClassifyIdList, er := data_manage_permission.GetUserEdbAndClassifyPermissionList(adminId, 0, 0)
		if er != nil {
			msg = "获取失败"
			err = fmt.Errorf("获取所有有权限的指标和分类失败，Err:" + er.Error())
			return
		}

		// 如果是ES的话，需要重新查一下指标的信息，主要是为了把是否授权字段找出来
		if isEs {
			edbInfoIdList := make([]int, 0)
			for i := 0; i < edbInfoListLen; i++ {
				edbInfoIdList = append(edbInfoIdList, edbInfoList[i].EdbInfoId)
				tmpEdbInfo := edbInfoList[i]
				if currClassify, ok := classifyMap[tmpEdbInfo.ClassifyId]; ok {
					edbInfoList[i].HaveOperaAuth = data_manage_permission.CheckEdbPermissionByPermissionIdList(tmpEdbInfo.IsJoinPermission, currClassify.IsJoinPermission, tmpEdbInfo.EdbInfoId, tmpEdbInfo.ClassifyId, permissionEdbIdList, permissionClassifyIdList)
				}
			}

			tmpEdbList, er := data_manage.GetEdbInfoByIdList(edbInfoIdList)
			if er != nil {
				msg = "获取失败"
				err = fmt.Errorf("获取所有有权限的指标失败，Err:" + er.Error())
				return
			}
			edbInfoMap := make(map[int]*data_manage.EdbInfo)
			for _, v := range tmpEdbList {
				edbInfoMap[v.EdbInfoId] = v
			}

			for i := 0; i < edbInfoListLen; i++ {
				tmpEdbInfo, ok := edbInfoMap[edbInfoList[i].EdbInfoId]
				if !ok {
					continue
				}
				edbInfoList[i].IsJoinPermission = tmpEdbInfo.IsJoinPermission
			}
		}

		// 权限校验
		for i := 0; i < edbInfoListLen; i++ {
			tmpEdbInfoItem := edbInfoList[i]
			if currClassify, ok := classifyMap[tmpEdbInfoItem.ClassifyId]; ok {
				edbInfoList[i].HaveOperaAuth = data_manage_permission.CheckEdbPermissionByPermissionIdList(tmpEdbInfoItem.IsJoinPermission, currClassify.IsJoinPermission, tmpEdbInfoItem.EdbInfoId, tmpEdbInfoItem.ClassifyId, permissionEdbIdList, permissionClassifyIdList)
			}
		}
	}

	for i := 0; i < edbInfoListLen; i++ {
		for j := 0; j < edbInfoListLen; j++ {
			if (edbInfoList[i].EdbNameAlias == edbInfoList[j].EdbNameAlias) &&
				(edbInfoList[i].EdbInfoId != edbInfoList[j].EdbInfoId) &&
				!(strings.Contains(edbInfoList[i].EdbName, edbInfoList[i].SourceName)) {
				edbInfoList[i].EdbName = edbInfoList[i].EdbName + "(" + edbInfoList[i].SourceName + ")"
			}
		}
	}
	//新增搜索词记录
	{
		searchKeyword := new(data_manage.SearchKeyword)
		searchKeyword.KeyWord = keyWord
		searchKeyword.CreateTime = time.Now()
		go data_manage.AddSearchKeyword(searchKeyword)
	}
	resp = data_manage.EdbInfoFilterDataResp{
		Paging: page,
		List:   edbInfoList,
	}
	return
}

func SaveStlEdbInfo(req *request.SaveStlEdbInfoReq, adminId int, adminRealName, lang string) (isSendEmail bool, msg string, err error) {
	conf, err := stl.GetCalculateStlConfigById(req.CalculateStlConfigId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "未找到配置，请先进行计算"
			err = fmt.Errorf("配置不存在")
			return
		}
		msg = "获取失败"
		return
	}
	var edbInfoData []*response.EdbData
	switch req.StlEdbType {
	case 1:
		// 趋势指标
		if ok := utils.Rc.IsExist(EDB_DATA_CALCULATE_STL_TREND_CACHE + strconv.Itoa(req.CalculateStlConfigId)); !ok {
			msg = "计算已过期，请重新计算"
			err = fmt.Errorf("not found")
			return
		}
		trendData, er := utils.Rc.RedisBytes(EDB_DATA_CALCULATE_STL_TREND_CACHE + strconv.Itoa(req.CalculateStlConfigId))
		if er != nil {
			msg = "获取失败"
			err = fmt.Errorf("获取redis数据失败，Err:" + er.Error())
			return
		}
		if er := json.Unmarshal(trendData, &edbInfoData); er != nil {
			msg = "获取失败"
			err = fmt.Errorf("json解析失败，Err:" + er.Error())
			return
		}
	case 2:
		// 季节性指标
		if ok := utils.Rc.IsExist(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE + strconv.Itoa(req.CalculateStlConfigId)); !ok {
			msg = "计算已过期，请重新计算"
			err = fmt.Errorf("not found")
			return
		}
		seasonalData, er := utils.Rc.RedisBytes(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE + strconv.Itoa(req.CalculateStlConfigId))
		if er != nil {
			msg = "获取失败"
			err = fmt.Errorf("获取redis数据失败，Err:" + er.Error())
			return
		}
		if er := json.Unmarshal(seasonalData, &edbInfoData); er != nil {
			msg = "获取失败"
			err = fmt.Errorf("json解析失败，Err:" + er.Error())
			return
		}
	case 3:
		// 残差性指标
		if ok := utils.Rc.IsExist(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE + strconv.Itoa(req.CalculateStlConfigId)); !ok {
			msg = "计算已过期，请重新计算"
			err = fmt.Errorf("not found")
			return
		}
		residualData, er := utils.Rc.RedisBytes(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE + strconv.Itoa(req.CalculateStlConfigId))
		if er != nil {
			msg = "获取失败"
			err = fmt.Errorf("获取redis数据失败，Err:" + er.Error())
			return
		}
		if er := json.Unmarshal(residualData, &edbInfoData); er != nil {
			msg = "获取失败"
			err = fmt.Errorf("json解析失败，Err:" + er.Error())
			return
		}
	}

	indexObj := new(stl.EdbDataCalculateStl)
	edbCode, err := utils.GenerateEdbCode(1, "stl")
	if err != nil {
		msg = "生成指标代码失败"
		return
	}
	var dataList []*stl.EdbDataCalculateStl
	var startDate, endDate time.Time
	for _, v := range edbInfoData {
		dataTime, _ := time.Parse(utils.FormatDate, v.DataTime)
		value, _ := strconv.ParseFloat(v.Value, 64)
		if startDate.IsZero() || dataTime.Before(startDate) {
			startDate = dataTime
		}
		if endDate.IsZero() || dataTime.After(endDate) {
			endDate = dataTime
		}
		dataList = append(dataList, &stl.EdbDataCalculateStl{
			EdbInfoId:     req.EdbInfoId,
			EdbCode:       edbCode,
			DataTime:      dataTime,
			Value:         value,
			CreateTime:    time.Now(),
			ModifyTime:    time.Now(),
			DataTimestamp: dataTime.UnixMilli(),
		})
	}
	err = indexObj.BatchInsert(dataList)
	if err != nil {
		msg = "保存失败"
		return
	}

	startDateStr := startDate.Format(utils.FormatDate)
	endDateStr := endDate.Format(utils.FormatDate)

	//判断指标名称是否存在
	ok, err := CheckDulplicateEdbInfoName(req.EdbName, lang)
	if err != nil {
		msg = "保存失败"
		return
	}
	if ok {
		msg = "指标名称已存在"
		err = fmt.Errorf("指标名称已存在")
		return
	}

	source := utils.DATA_SOURCE_CALCULATE_STL
	subSource := utils.DATA_SUB_SOURCE_EDB
	edbInfo := new(data_manage.EdbInfo)
	//获取该层级下最大的排序数
	maxSort, err := data.GetEdbClassifyMaxSort(req.ClassifyId, 0)
	if err != nil {
		msg = "获取失败"
		err = fmt.Errorf("获取最大排序失败，Err:" + err.Error())
		return
	}

	edbInfo.EdbCode = edbCode
	edbInfo.EdbName = req.EdbName
	edbInfo.EdbNameEn = req.EdbName
	edbInfo.EdbNameSource = req.EdbName
	edbInfo.Frequency = req.Frequency
	edbInfo.Unit = req.Unit
	edbInfo.UnitEn = req.Unit
	edbInfo.StartDate = startDateStr
	edbInfo.EndDate = endDateStr
	edbInfo.CalculateFormula = conf.Config
	edbInfo.ClassifyId = req.ClassifyId
	edbInfo.SysUserId = adminId
	edbInfo.SysUserRealName = adminRealName
	edbInfo.CreateTime = time.Now()
	edbInfo.ModifyTime = time.Now()
	edbInfo.Sort = maxSort + 1
	edbInfo.DataDateType = `交易日`
	timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
	edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
	itemVal, err := data_manage.GetEdbInfoMaxAndMinInfo(source, subSource, edbCode)
	if itemVal != nil && err == nil {
		edbInfo.MaxValue = itemVal.MaxValue
		edbInfo.MinValue = itemVal.MinValue
	}
	edbInfo.EdbType = 2
	edbInfo.Source = source
	edbInfo.SubSource = subSource
	extra, _ := json.Marshal(req)
	edbInfo.Extra = string(extra)
	edbInfoId, err := data_manage.AddEdbInfo(edbInfo)
	if err != nil {
		msg = "保存失败"
		err = errors.New("保存失败，Err:" + err.Error())
		return
	}
	edbInfo.EdbInfoId = int(edbInfoId)
	//保存数据
	data_manage.ModifyEdbInfoDataStatus(edbInfoId, source, subSource, edbCode)

	maxAndMinItem, _ := data_manage.GetEdbInfoMaxAndMinInfo(source, subSource, edbCode)
	if maxAndMinItem != nil {
		err = data_manage.ModifyEdbInfoMaxAndMinInfo(int(edbInfoId), maxAndMinItem)
		if err != nil {
			msg = "保存失败"
			err = errors.New("保存失败，Err:" + err.Error())
			return
		}
	}
	// 保存配置映射
	{
		stlMapping := new(stl.CalculateStlConfigMapping)
		stlMapping.EdbInfoId = int(edbInfoId)
		stlMapping.CalculateStlConfigId = req.CalculateStlConfigId
		stlMapping.CreateTime = time.Now()
		stlMapping.ModifyTime = time.Now()
		_, err = stlMapping.Insert()
		if err != nil {
			msg = "保存失败"
			err = errors.New("保存配置映射失败，Err:" + err.Error())
			return
		}
	}
	// 保存溯源信息
	{
		fromEdbInfo, er := data_manage.GetEdbInfoById(req.EdbInfoId)
		if er != nil {
			if er.Error() == utils.ErrNoRow() {
				msg = "未找到指标，请刷新后重试"
				err = fmt.Errorf("指标不存在,err:" + er.Error())
				return
			}
			msg = "获取失败"
			err = er
			return
		}

		edbCalculateMappingInfo := new(data_manage.EdbInfoCalculateMapping)
		edbCalculateMappingInfo.EdbInfoId = int(edbInfoId)
		edbCalculateMappingInfo.Source = source
		edbCalculateMappingInfo.SourceName = "STL趋势分解"
		edbCalculateMappingInfo.EdbCode = edbCode
		edbCalculateMappingInfo.FromEdbInfoId = req.EdbInfoId
		edbCalculateMappingInfo.FromEdbCode = fromEdbInfo.EdbCode
		edbCalculateMappingInfo.FromEdbName = fromEdbInfo.EdbName
		edbCalculateMappingInfo.FromSource = fromEdbInfo.Source
		edbCalculateMappingInfo.FromSourceName = fromEdbInfo.SourceName
		edbCalculateMappingInfo.CreateTime = time.Now()
		edbCalculateMappingInfo.ModifyTime = time.Now()
		err = edbCalculateMappingInfo.Insert()
		if err != nil {
			msg = "保存失败"
			err = errors.New("保存溯源信息失败，Err:" + err.Error())
			return
		}
	}

	//添加es
	data.AddOrEditEdbInfoToEs(int(edbInfoId))
	return
}

func GetStlConfig(configId int) (resp *response.StlConfigResp, msg string, err error) {
	conf, err := stl.GetCalculateStlConfigById(configId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "未找到配置，请刷新后重试"
			return
		}
		msg = "获取失败"
		return
	}
	var req request.StlConfigReq
	if err = json.Unmarshal([]byte(conf.Config), &req); err != nil {
		msg = "获取失败"
		return
	}
	edbInfo, err := data_manage.GetEdbInfoById(req.EdbInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "未找到指标，请刷新后重试"
			return
		}
		msg = "获取失败"
		return
	}
	resp = &response.StlConfigResp{
		CalculateStlConfigId: conf.CalculateStlConfigId,
		EdbInfoId:            req.EdbInfoId,
		EdbInfoName:          edbInfo.EdbName,
		DataRangeType:        req.DataRangeType,
		StartDate:            req.StartDate,
		EndDate:              req.EndDate,
		LastNYear:            req.LastNYear,
		Period:               req.Period,
		Seasonal:             req.Seasonal,
		Trend:                req.Trend,
		Fraction:             req.Fraction,
		Robust:               req.Robust,
		TrendDeg:             req.TrendDeg,
		SeasonalDeg:          req.SeasonalDeg,
		LowPassDeg:           req.LowPassDeg,
	}
	return
}

func CheckDulplicateEdbInfoName(edbName, lang string) (ok bool, err error) {
	var count int
	var condition string
	var pars []interface{}

	switch lang {
	case utils.EnLangVersion:
		condition += " AND edb_name_en = ? "
	default:
		condition += " AND edb_name=? "
	}
	pars = append(pars, edbName)

	count, err = data_manage.GetEdbInfoCountByCondition(condition, pars)
	if err != nil {
		return
	}

	if count > 0 {
		ok = true
		return
	}
	return
}