eta_hub/controllers/statistic_analysis.go

package controllers

import (
	"eta/eta_hub/models"
	"eta/eta_hub/models/data_manage"
	"eta/eta_hub/utils"
	"fmt"
)

// StatisticAnalysisController 统计分析
type StatisticAnalysisController struct {
	BaseAuthController
}

// ClassifyList
// @Title 统计分析-分类列表
// @Description 统计分析-分类列表
// @Param   SourceType  query  int  false  "分类类型: 1-相关性分析; 2-拟合方程曲线; 3-统计特征"
// @Success 200 {object} data_manage.ChartClassifyItem
// @router /classify/list [get]
func (this *StatisticAnalysisController) ClassifyList() {
	br := new(models.BaseResponse).Init()
	defer func() {
		this.Data["json"] = br
		this.ServeJSON()
	}()

	sourceType, _ := this.GetInt("SourceType", 0)
	if sourceType <= 0 {
		sourceType = 1
	}
	sourceMap := map[int]int{
		1: utils.CHART_SOURCE_CORRELATION,
		2: utils.CHART_SOURCE_LINE_EQUATION,
		3: utils.CHART_SOURCE_LINE_FEATURE_STANDARD_DEVIATION,
	}
	source := sourceMap[sourceType]
	if source <= 0 {
		br.Msg = "分类来源有误"
		return
	}
	cond := ` AND source = ?`
	pars := make([]interface{}, 0)
	pars = append(pars, source)

	// 获取所有分类
	classifyOb := new(data_manage.ChartClassify)
	classifies, e := classifyOb.GetItemsByCondition(cond, pars, []string{}, "parent_id ASC, sort ASC")
	if e != nil {
		br.Msg = "获取失败"
		br.ErrMsg = "ChartClassifyList GetItemsByCondition err: " + e.Error()
		return
	}
	resp := make([]*data_manage.ChartClassifyItem, 0)
	for _, v := range classifies {
		resp = append(resp, data_manage.FormatChartClassify2Item(v))
	}

	br.Data = resp
	br.Ret = 200
	br.Msg = "获取成功"
}

// ChartList
// @Title 统计分析-图表列表
// @Description 统计分析-图表列表
// @Param   ClassifyId  query  int  true  "图表分类ID"
// @Param   CorrelationType  query  int  false  "相关性图表类型: 1-相关性图表; 2-滚动相关性"
// @Success 200 {object} data_manage.ChartInfoItem
// @router /chart/list [get]
func (this *StatisticAnalysisController) ChartList() {
	br := new(models.BaseResponse).Init()
	defer func() {
		this.Data["json"] = br
		this.ServeJSON()
	}()

	classifyId, _ := this.GetInt("ClassifyId")
	if classifyId <= 0 {
		br.Msg = "参数有误"
		return
	}
	cond := ` AND chart_classify_id = ?`
	pars := make([]interface{}, 0)
	pars = append(pars, classifyId)

	// 相关性图表类型
	correlationType, _ := this.GetInt("CorrelationType")
	if correlationType > 0 {
		correlationMap := map[int]int{
			1: utils.CHART_SOURCE_CORRELATION,
			2: utils.CHART_SOURCE_ROLLING_CORRELATION,
		}
		source := correlationMap[correlationType]
		if source <= 0 {
			br.Msg = "相关性图表类型有误"
			return
		}
		cond += ` AND source = ?`
		pars = append(pars, source)
	} else {
		// 默认统计分析的图表
		sourceArr := []int{
			utils.CHART_SOURCE_CORRELATION, utils.CHART_SOURCE_ROLLING_CORRELATION, utils.CHART_SOURCE_LINE_EQUATION,
			utils.CHART_SOURCE_LINE_FEATURE_STANDARD_DEVIATION, utils.CHART_SOURCE_LINE_FEATURE_PERCENTILE, utils.CHART_SOURCE_LINE_FEATURE_FREQUENCY,
		}
		cond += fmt.Sprintf(` AND source IN (%s)`, utils.GetOrmInReplace(len(sourceArr)))
		pars = append(pars, sourceArr)
	}

	chartOb := new(data_manage.ChartInfo)
	charts, e := chartOb.GetItemsByCondition(cond, pars, []string{}, "sort ASC")
	if e != nil {
		br.Msg = "获取失败"
		br.ErrMsg = "ClassifyChart GetItemsByCondition err: " + e.Error()
		return
	}
	resp := make([]*data_manage.ChartInfoItem, 0)
	for _, v := range charts {
		resp = append(resp, data_manage.FormatChartInfo2Item(v))
	}

	br.Data = resp
	br.Ret = 200
	br.Msg = "获取成功"
}