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/shopspring/decimal"
	"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()
		lastNyear, er := strconv.Atoi(req.LastNYear)
		if er != nil {
			msg = "最近N年输入不合法"
			err = er
			return
		}
		if lastNyear <= 0 {
			msg = "最近N年输入不合法"
			err = fmt.Errorf("最近N年输入不合法")
			return
		}
		lastNyear = lastNyear - 1
		lastDate := time.Date(year-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"
		return
	}
	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.EdbInfoId = edbInfo.EdbInfoId
	resp.OriginEdbInfo.Title = edbInfo.EdbName
	resp.OriginEdbInfo.ClassifyId = edbInfo.ClassifyId
	resp.OriginEdbInfo.MaxData = edbInfo.MaxValue
	resp.OriginEdbInfo.MinData = edbInfo.MinValue
	resp.OriginEdbInfo.Frequency = edbInfo.Frequency
	resp.OriginEdbInfo.Unit = edbInfo.Unit
	resp.OriginEdbInfo.DataList = formatEdbData(edbData)
	resp.TrendChartInfo.DataList = trendChart.DataList
	resp.TrendChartInfo.MaxData = trendChart.MaxData
	resp.TrendChartInfo.MinData = trendChart.MinData
	resp.TrendChartInfo.Title = edbInfo.EdbName + "Trend"
	resp.TrendChartInfo.ClassifyId = edbInfo.ClassifyId
	resp.TrendChartInfo.Frequency = edbInfo.Frequency
	resp.TrendChartInfo.Unit = edbInfo.Unit
	resp.SeasonalChartInfo.DataList = seasonalChart.DataList
	resp.SeasonalChartInfo.MaxData = seasonalChart.MaxData
	resp.SeasonalChartInfo.MinData = seasonalChart.MinData
	resp.SeasonalChartInfo.ClassifyId = edbInfo.ClassifyId
	resp.SeasonalChartInfo.Title = edbInfo.EdbName + "Seasonal"
	resp.SeasonalChartInfo.Frequency = edbInfo.Frequency
	resp.SeasonalChartInfo.Unit = edbInfo.Unit
	resp.ResidualChartInfo.DataList = residualChart.DataList
	resp.ResidualChartInfo.MaxData = residualChart.MaxData
	resp.ResidualChartInfo.MinData = residualChart.MinData
	resp.ResidualChartInfo.ClassifyId = edbInfo.ClassifyId
	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)

	confMapping, err := stl.GetCalculateStlConfigMappingByConfigId(req.CalculateStlConfigId)
	if err != nil {
		msg = "获取配置信息失败"
		return
	}
	var relationEdbInfoId []int
	for _, mapping := range confMapping {
		switch mapping.StlEdbType {
		case 1:
			resp.TrendChartInfo.EdbInfoId = mapping.EdbInfoId
			relationEdbInfoId = append(relationEdbInfoId, mapping.EdbInfoId)
		case 2:
			resp.SeasonalChartInfo.EdbInfoId = mapping.EdbInfoId
			relationEdbInfoId = append(relationEdbInfoId, mapping.EdbInfoId)
		case 3:
			resp.ResidualChartInfo.EdbInfoId = mapping.EdbInfoId
			relationEdbInfoId = append(relationEdbInfoId, mapping.EdbInfoId)
		}
	}
	relationEdbInfo, err := data_manage.GetEdbInfoByIdList(relationEdbInfoId)
	if err != nil {
		msg = "获取关联指标信息失败"
		return
	}
	for _, info := range relationEdbInfo {
		switch info.EdbInfoId {
		case resp.TrendChartInfo.EdbInfoId:
			resp.TrendChartInfo.Title = info.EdbName
			resp.TrendChartInfo.ClassifyId = info.ClassifyId
			resp.TrendChartInfo.Frequency = info.Frequency
			resp.TrendChartInfo.Unit = info.Unit
		case resp.SeasonalChartInfo.EdbInfoId:
			resp.SeasonalChartInfo.Title = info.EdbName
			resp.SeasonalChartInfo.ClassifyId = info.ClassifyId
			resp.SeasonalChartInfo.Frequency = info.Frequency
			resp.SeasonalChartInfo.Unit = info.Unit
		case resp.ResidualChartInfo.EdbInfoId:
			resp.ResidualChartInfo.Title = info.EdbName
			resp.ResidualChartInfo.ClassifyId = info.ClassifyId
			resp.ResidualChartInfo.Frequency = info.Frequency
			resp.ResidualChartInfo.Unit = info.Unit
		}
	}

	bTrend, _ := json.Marshal(trendChart.DataList)
	bSeasonal, _ := json.Marshal(seasonalChart.DataList)
	bResidual, _ := json.Marshal(residualChart.DataList)
	err = utils.Rc.Put(EDB_DATA_CALCULATE_STL_TREND_CACHE+strconv.Itoa(config.CalculateStlConfigId), bTrend, time.Hour*2)
	if err != nil {
		msg = "计算失败，请重新计算"
		return
	}
	err = utils.Rc.Put(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE+strconv.Itoa(config.CalculateStlConfigId), bSeasonal, time.Hour*2)
	if err != nil {
		msg = "计算失败，请重新计算"
		return
	}
	utils.Rc.Put(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE+strconv.Itoa(config.CalculateStlConfigId), bResidual, time.Hour*2)
	if err != nil {
		msg = "计算失败，请重新计算"
	}
	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:         item.Value,
			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":
			var MinData, MaxData float64
			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()
				if MinData == 0 || fv < MinData {
					MinData = fv
				}
				if MaxData == 0 || fv > MaxData {
					MaxData = fv
				}
				fv, _ = decimal.NewFromFloat(fv).Round(4).Float64()
				SeasonalChart.DataList = append(SeasonalChart.DataList, &response.EdbData{DataTime: date, Value: fv, DataTimestamp: dataTimestamp})
			}
			SeasonalChart.MinData = MinData
			SeasonalChart.MaxData = MaxData
		case "趋势":
			var MinData, MaxData float64
			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()
				if MinData == 0 || fv < MinData {
					MinData = fv
				}
				if MaxData == 0 || fv > MaxData {
					MaxData = fv
				}
				fv, _ = decimal.NewFromFloat(fv).Round(4).Float64()
				TrendChart.DataList = append(TrendChart.DataList, &response.EdbData{DataTime: date, Value: fv, DataTimestamp: dataTimestamp})
			}
			TrendChart.MaxData = MaxData
			TrendChart.MinData = MinData
		case "残差":
			var MinData, MaxData float64
			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()
				if MinData == 0 || fv < MinData {
					MinData = fv
				}
				if MaxData == 0 || fv > MaxData {
					MaxData = fv
				}
				fv, _ = decimal.NewFromFloat(fv).Round(4).Float64()
				ResidualChart.DataList = append(ResidualChart.DataList, &response.EdbData{DataTime: date, Value: fv, DataTimestamp: dataTimestamp})
			}
			ResidualChart.MaxData = MaxData
			ResidualChart.MinData = MinData
		}
	}
	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 json
import warnings
warnings.filterwarnings('ignore')
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

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

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'], np.arange(len(df)), 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)
	utils.FileLog.Info("stl exec python code:%s", pythonCode)
	cmd := exec.Command(`python3`, "-c", pythonCode)
	output, err := cmd.CombinedOutput()
	if err != nil {
		utils.FileLog.Info(`execStlPythonCode error:%s, input: path:%s, toPath:%s, period:%d, seasonal:%d, trend:%d, trendDeg:%d, seasonalDeg:%d, lowPassDeg:%d, fraction:%g, robust:%s, output:%s`, err.Error(), path, toPath, period, seasonal, trend, trendDeg, seasonalDeg, lowPassDeg, fraction, robustStr, string(output))
		return
	}
	defer cmd.Process.Kill()
	if err = json.Unmarshal(output, &stlResult); err != nil {
		utils.FileLog.Info(`execStlPythonCode Unmarshal error:%s, input: path:%s, toPath:%s, period:%d, seasonal:%d, trend:%d, trendDeg:%d, seasonalDeg:%d, lowPassDeg:%d, fraction:%g, robust:%s, output:%s`, err.Error(), path, toPath, period, seasonal, trend, trendDeg, seasonalDeg, lowPassDeg, fraction, robustStr, string(output))
		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()
		lastNyear, er := strconv.Atoi(req.LastNYear)
		if er != nil {
			msg = "最近N年输入不合法"
			err = er
			return
		}
		lastDate := time.Date(year-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) (addEdbInfoId int, isSendEmail bool, msg string, err error) {
	if req.EdbName == "" {
		msg = "指标名称不能为空"
		return
	}
	if req.Unit == "" {
		msg = "指标单位不能为空"
		return
	}
	if req.ClassifyId <= 0 {
		msg = "请选择分类"
		return
	}
	if req.Frequency == "" {
		msg = "指标频度不能为空"
		return
	}
	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 stlConfig request.StlConfigReq
	if err = json.Unmarshal([]byte(conf.Config), &stlConfig); err != nil {
		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
		}
	default:
		msg = "获取失败"
		err = fmt.Errorf("未知的计算类型")
		return
	}
	var opEdbInfoId int
	if req.EdbInfoId > 0 {
		opEdbInfoId = req.EdbInfoId
		// 检查指标名称是否存在
		var condition string
		var pars []interface{}

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

		existEdbInfo, er := data_manage.GetEdbInfoByCondition(condition, pars)
		if er != nil && er.Error() != utils.ErrNoRow() {
			msg = "获取失败"
			return
		}
		switch lang {
		case utils.EnLangVersion:
			if existEdbInfo != nil && existEdbInfo.EdbNameEn == req.EdbName && req.EdbInfoId != existEdbInfo.EdbInfoId {
				msg = "指标名称已存在"
				err = fmt.Errorf("指标名称已存在")
				return
			}
		default:
			if existEdbInfo != nil && existEdbInfo.EdbName == req.EdbName && req.EdbInfoId != existEdbInfo.EdbInfoId {
				msg = "指标名称已存在"
				err = fmt.Errorf("指标名称已存在")
				return
			}
		}

		// 更新指标
		edbInfo, 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 = er
				return
			}
			msg = "获取失败"
			err = er
			return
		}
		var updateCols []string
		switch lang {
		case utils.EnLangVersion:
			if edbInfo.EdbName != req.EdbName {
				edbInfo.EdbNameEn = req.EdbName
				updateCols = append(updateCols, "edb_name_en")
			}
		default:
			if edbInfo.EdbName != req.EdbName {
				edbInfo.EdbName = req.EdbName
				updateCols = append(updateCols, "edb_name")
			}
		}
		if edbInfo.ClassifyId != req.ClassifyId {
			// 更新分类
			maxSort, er := data.GetEdbClassifyMaxSort(req.ClassifyId, 0)
			if er != nil {
				msg = "获取失败"
				err = fmt.Errorf("获取最大排序失败，Err:" + er.Error())
				return
			}
			edbInfo.ClassifyId = req.ClassifyId
			edbInfo.Sort = maxSort + 1
			updateCols = append(updateCols, "classify_id", "sort")
		}
		if edbInfo.Frequency != req.Frequency {
			edbInfo.Frequency = req.Frequency
			updateCols = append(updateCols, "frequency")
		}
		if edbInfo.Unit != req.Unit {
			edbInfo.Unit = req.Unit
			updateCols = append(updateCols, "unit")
		}
		edbInfo.CalculateFormula = conf.Config
		updateCols = append(updateCols, "calculate_formula")
		if len(updateCols) > 0 {
			edbInfo.ModifyTime = time.Now()
			updateCols = append(updateCols, "modify_time")
			err = edbInfo.Update(updateCols)
			if err != nil {
				msg = "保存失败"
				return
			}
		}

		var dataList []*stl.EdbDataCalculateStl
		for _, v := range edbInfoData {
			dataTime, _ := time.Parse(utils.FormatDate, v.DataTime)
			dataList = append(dataList, &stl.EdbDataCalculateStl{
				EdbInfoId:     edbInfo.EdbInfoId,
				EdbCode:       edbInfo.EdbCode,
				DataTime:      dataTime,
				Value:         v.Value,
				CreateTime:    time.Now(),
				ModifyTime:    time.Now(),
				DataTimestamp: dataTime.UnixMilli(),
			})
		}
		err = stl.DeleteAndInsertEdbDataCalculateStl(edbInfo.EdbCode, dataList)
		if err != nil {
			msg = "保存失败"
			return
		}

		data_manage.ModifyEdbInfoDataStatus(int64(edbInfo.EdbInfoId), edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)

		maxAndMinItem, _ := data_manage.GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
		if maxAndMinItem != nil {
			err = data_manage.ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
			if err != nil {
				msg = "保存失败"
				err = errors.New("保存失败，Err:" + err.Error())
				return
			}
		}
	} else {
		indexObj := new(stl.EdbDataCalculateStl)
		edbCode, er := utils.GenerateEdbCode(1, "stl")
		if er != nil {
			msg = "生成指标代码失败"
			err = fmt.Errorf("生成指标代码失败，Err:" + er.Error())
			return
		}

		//判断指标名称是否存在
		ok, er := CheckDulplicateEdbInfoName(req.EdbName, lang)
		if er != nil {
			msg = "保存失败"
			err = fmt.Errorf("检查指标名称是否存在失败，Err:" + er.Error())
			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, er := data.GetEdbClassifyMaxSort(req.ClassifyId, 0)
		if er != nil {
			msg = "获取失败"
			err = fmt.Errorf("获取最大排序失败，Err:" + er.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.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, er := data_manage.GetEdbInfoMaxAndMinInfo(source, subSource, edbCode)
		if itemVal != nil && er == nil {
			edbInfo.MaxValue = itemVal.MaxValue
			edbInfo.MinValue = itemVal.MinValue
		}
		edbInfo.EdbType = 2
		edbInfo.Source = source
		edbInfo.SubSource = subSource
		edbInfo.SourceName = "STL趋势分解"
		extra, _ := json.Marshal(req)
		edbInfo.Extra = string(extra)
		edbInfoId, er := data_manage.AddEdbInfo(edbInfo)
		if er != nil {
			msg = "保存失败"
			err = errors.New("保存失败，Err:" + er.Error())
			return
		}
		edbInfo.EdbInfoId = int(edbInfoId)

		var dataList []*stl.EdbDataCalculateStl
		for _, v := range edbInfoData {
			dataTime, _ := time.Parse(utils.FormatDate, v.DataTime)
			dataList = append(dataList, &stl.EdbDataCalculateStl{
				EdbInfoId:     int(edbInfoId),
				EdbCode:       edbCode,
				DataTime:      dataTime,
				Value:         v.Value,
				CreateTime:    time.Now(),
				ModifyTime:    time.Now(),
				DataTimestamp: dataTime.UnixMilli(),
			})
		}
		err = indexObj.BatchInsert(dataList)
		if err != nil {
			msg = "保存失败"
			return
		}

		//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.StlEdbType = req.StlEdbType
			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(stlConfig.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 = fromEdbInfo.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))
		opEdbInfoId = int(edbInfoId)
	}

	// 更新关联的同配置的指标
	err = SyncUpdateRelationEdbInfo(req.CalculateStlConfigId, opEdbInfoId)
	if err != nil {
		msg = "更新关联的同配置的指标失败"
		return
	}
	addEdbInfoId = opEdbInfoId
	return
}

func SyncUpdateRelationEdbInfo(configId int, excludeId int) (err error) {
	mappingList, err := stl.GetCalculateStlConfigMappingByConfigId(configId)
	if err != nil {
		return
	}
	conf, err := stl.GetCalculateStlConfigById(configId)
	if err != nil {
		return
	}
	for _, v := range mappingList {
		edbInfo, er := data_manage.GetEdbInfoById(v.EdbInfoId)
		if er != nil {
			continue
		}
		if v.EdbInfoId == excludeId {
			continue
		}
		var edbInfoData []*response.EdbData
		switch v.StlEdbType {
		case 1:
			// 趋势指标
			if ok := utils.Rc.IsExist(EDB_DATA_CALCULATE_STL_TREND_CACHE + strconv.Itoa(v.CalculateStlConfigId)); !ok {
				utils.FileLog.Info(EDB_DATA_CALCULATE_STL_TREND_CACHE + strconv.Itoa(v.CalculateStlConfigId) + "指标数据不存在")
				continue
			}
			trendData, er := utils.Rc.RedisBytes(EDB_DATA_CALCULATE_STL_TREND_CACHE + strconv.Itoa(v.CalculateStlConfigId))
			if er != nil {
				utils.FileLog.Info(EDB_DATA_CALCULATE_STL_TREND_CACHE + strconv.Itoa(v.CalculateStlConfigId) + "redis获取失败,err:" + er.Error())
				continue
			}
			if er := json.Unmarshal(trendData, &edbInfoData); er != nil {
				utils.FileLog.Info("redis获取解析, body:%s,err:%s", string(trendData), er.Error())
				continue
			}
		case 2:
			// 季节性指标
			if ok := utils.Rc.IsExist(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE + strconv.Itoa(v.CalculateStlConfigId)); !ok {
				utils.FileLog.Info(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE + strconv.Itoa(v.CalculateStlConfigId) + "指标数据不存在")
				continue
			}
			seasonalData, er := utils.Rc.RedisBytes(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE + strconv.Itoa(v.CalculateStlConfigId))
			if er != nil {
				utils.FileLog.Info(EDB_DATA_CALCULATE_STL_SEASONAL_CACHE + strconv.Itoa(v.CalculateStlConfigId) + "redis获取失败,err:" + er.Error())
				continue
			}
			if er := json.Unmarshal(seasonalData, &edbInfoData); er != nil {
				utils.FileLog.Info("redis数据解析失败, body:%s,err:%s", string(seasonalData), er.Error())
				continue
			}
		case 3:
			// 残差性指标
			if ok := utils.Rc.IsExist(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE + strconv.Itoa(v.CalculateStlConfigId)); !ok {
				utils.FileLog.Info(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE + strconv.Itoa(v.CalculateStlConfigId) + "指标数据不存在")
				continue
			}
			residualData, er := utils.Rc.RedisBytes(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE + strconv.Itoa(v.CalculateStlConfigId))
			if er != nil {
				utils.FileLog.Info(EDB_DATA_CALCULATE_STL_RESIDUAL_CACHE + strconv.Itoa(v.CalculateStlConfigId) + "redis获取失败,err:" + er.Error())
				continue
			}
			if er := json.Unmarshal(residualData, &edbInfoData); er != nil {
				utils.FileLog.Info("redis数据解析失败, body:%s,err:%s", string(residualData), er.Error())
				continue
			}
		default:
			utils.FileLog.Info("未知的stlEdbType类型, mapping:%v", v)
			continue
		}

		var dataList []*stl.EdbDataCalculateStl
		for _, v := range edbInfoData {
			dataTime, _ := time.Parse(utils.FormatDate, v.DataTime)
			dataList = append(dataList, &stl.EdbDataCalculateStl{
				EdbInfoId:     edbInfo.EdbInfoId,
				EdbCode:       edbInfo.EdbCode,
				DataTime:      dataTime,
				Value:         v.Value,
				CreateTime:    time.Now(),
				ModifyTime:    time.Now(),
				DataTimestamp: dataTime.UnixMilli(),
			})
		}
		err = stl.DeleteAndInsertEdbDataCalculateStl(edbInfo.EdbCode, dataList)
		if err != nil {
			return
		}

		data_manage.ModifyEdbInfoDataStatus(int64(edbInfo.EdbInfoId), edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)

		maxAndMinItem, _ := data_manage.GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
		if maxAndMinItem != nil {
			err = data_manage.ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
			if err != nil {
				return
			}
		}

		edbInfo.CalculateFormula = conf.Config
		edbInfo.ModifyTime = time.Now()
		err = edbInfo.Update([]string{"calculate_formula", "modify_time"})
		if err != nil {
			return
		}
	}
	return
}

func GetStlConfig(edbInfoId int) (resp *response.StlConfigResp, msg string, err error) {
	configId, err := stl.GetCalculateStlConfigMappingIdByEdbInfoId(edbInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			msg = "未找到指标信息, 请选择其他指标"
			return
		}
		msg = "查询失败"
		return
	}

	queryEdbInfo, err := data_manage.GetEdbInfoById(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
	}

	var req request.StlConfigReq
	if err = json.Unmarshal([]byte(queryEdbInfo.CalculateFormula), &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: configId,
		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
}