utils

var CountTypMap = map[CountType]getCountCol{
	UserNum: func(col string) string {

		if col == Default {
			return toString("count()")
		}

		return toString(fmt.Sprintf("count(%s)", col))
	},
	AllSum: func(col string) string {
		return toString(Round(NaN2Zero(fmt.Sprintf("sum(%s)", col))))
	},
	AvgCount: func(col string) string {
		return toString(Round(NaN2Zero(fmt.Sprintf(" avg(%s) ", col))))
	},
	AvgSumByUser: func(col string) string {
		return toString(Round(NaN2Zero(fmt.Sprintf("SUM(%s)/COUNT(DISTINCT xwl_distinct_id)", col))))
	},
	MiddleCount: func(col string) string {
		return toString(NaN2Zero(fmt.Sprintf("quantile(%s)", col)))
	},
	MaxCount: func(col string) string {
		return toString(Round(NaN2Zero(fmt.Sprintf("max(%s)", col))))
	},
	MinCount: func(col string) string {
		return toString(Round(NaN2Zero(fmt.Sprintf("min(%s)", col))))
	},
	DistincCount: func(col string) string {
		return toString(Round(NaN2Zero(fmt.Sprintf("count(DISTINCT %s)", col))))
	},
	AllCount:     allCount,
	ClickUserNum: clickUserNum,
	AvgCountByUser: func(col string) string {
		if col == Default {
			return toString(Round(NaN2Zero(fmt.Sprintf("%s/%s", ToFloat32OrZero(allCount(col)), ToFloat32OrZero(clickUserNum(col))))))
		}

		arr := strings.Split(col, SPLIT)

		return toString(Round(NaN2Zero(fmt.Sprintf("%s/%s", ToFloat32OrZero(allCount(arr[0])), ToFloat32OrZero(clickUserNum(arr[1]))))))
	},
	MiddleCount5: func(col string) string {
		return toString(getQuantile(0.05, col))
	},
	MiddleCount10: func(col string) string {
		return toString(getQuantile(0.1, col))
	},
	MiddleCount20: func(col string) string {
		return toString(getQuantile(0.2, col))
	},
	MiddleCount25: func(col string) string {
		return toString(getQuantile(0.25, col))
	},
	MiddleCount30: func(col string) string {
		return toString(getQuantile(0.3, col))
	},
	MiddleCount40: func(col string) string {
		return toString(getQuantile(0.4, col))
	},
	MiddleCount60: func(col string) string {
		return toString(getQuantile(0.6, col))
	},
	MiddleCount70: func(col string) string {
		return toString(getQuantile(0.7, col))
	},
	MiddleCount75: func(col string) string {
		return toString(getQuantile(0.75, col))
	},
	MiddleCount80: func(col string) string {
		return toString(getQuantile(0.8, col))
	},
	MiddleCount90: func(col string) string {
		return toString(getQuantile(0.9, col))
	},
	MiddleCount95: func(col string) string {
		return toString(getQuantile(0.95, col))
	},
	MiddleCount99: func(col string) string {
		return toString(getQuantile(0.99, col))
	},
}

var IntPropQuotas = map[string]string{
	AllSum:        "总和",
	AvgCount:      "均值",
	AvgSumByUser:  "人均值",
	MaxCount:      "最大值",
	MinCount:      "最小值",
	DistincCount:  "去重数",
	MiddleCount:   "中位数",
	MiddleCount5:  "5分位数",
	MiddleCount10: "10分位数",
	MiddleCount20: "20分位数",
	MiddleCount25: "25分位数",
	MiddleCount30: "30分位数",
	MiddleCount40: "40分位数",
	MiddleCount60: "60分位数",
	MiddleCount70: "70分位数",
	MiddleCount75: "75分位数",
	MiddleCount80: "80分位数",
	MiddleCount90: "90分位数",
	MiddleCount95: "95分位数",
	MiddleCount99: "99分位数",
}

var SpecialCloArr = []string{"xwl_distinct_id", "xwl_update_time"}

var StringPropQuotas = map[string]string{
	DistincCount: "去重数",
}