city_chips/internal/handler/energy.go

package handler

import (
	"city_chips/internal/service"
	"city_chips/pkg/helper/resp"
	"fmt"
	"github.com/gin-gonic/gin"
	"github.com/spf13/viper"
	"math/rand"
)

type EnergyHandler struct {
	*Handler
	energyService service.EnergyService
	conf          *viper.Viper
}

func NewEnergyHandler(
	handler *Handler,
	energyService service.EnergyService,
	conf *viper.Viper,
) *EnergyHandler {
	return &EnergyHandler{
		Handler:       handler,
		energyService: energyService,
		conf:          conf,
	}
}

// GetEnergy 获取能源系统数据
func (h *EnergyHandler) GetEnergy(ctx *gin.Context) {
	m := make(map[string]any)
	OnedayPowerConsumption := make(map[string]any)
	OnedayWaterConsumption := make(map[string]any)
	LastYearEnergyConsumption := make(map[string]any)
	YearEnergyConsumption := make(map[string]any)
	LastYearCarbonEmissions := make(map[string]any)
	YearCarbonEmissions := make(map[string]any)
	for i := 0; i < 24; i++ {
		name := fmt.Sprintf("%v时", i+1)
		OnedayPowerConsumption[name] = rand.Intn(100)
		OnedayWaterConsumption[name] = rand.Intn(100)
	}
	for i := 0; i < 12; i++ {
		name := fmt.Sprintf("%v月", i+1)
		LastYearEnergyConsumption[name] = rand.Intn(1000)
		YearEnergyConsumption[name] = rand.Intn(1000)
		LastYearCarbonEmissions[name] = rand.Intn(1000)
		YearCarbonEmissions[name] = rand.Intn(1000)
	}
	m["PowerConsumption"] = rand.Intn(1000)                    //今日实时电耗
	m["WaterConsumption"] = rand.Intn(1000)                    //今日实时水耗
	m["YesterdayConsumption"] = rand.Intn(1000)                //昨日电耗
	m["MonthElectricityConsumption"] = rand.Intn(1000)         //本月电耗
	m["YesterdayWaterConsumption"] = rand.Intn(1000)           //昨日水耗
	m["MonthWaterConsumption"] = rand.Intn(1000)               //本月水耗
	m["OnedayPowerConsumption"] = OnedayPowerConsumption       //本月水耗
	m["OnedayWaterConsumption"] = OnedayWaterConsumption       //本月水耗
	m["EnergyCount"] = rand.Intn(10000)                        //能源总量
	m["EnergyIntensity"] = rand.Intn(1000)                     //能耗强度
	m["CarbonEmissions"] = rand.Intn(1000)                     //碳排总量
	m["CarbonIsntensity"] = rand.Intn(1000)                    //碳排强度
	m["LastYearEnergyConsumption"] = LastYearEnergyConsumption //去年能耗
	m["YearEnergyConsumption"] = YearEnergyConsumption         //今年能耗
	m["LastYearCarbonEmissions"] = LastYearCarbonEmissions     //去年碳排
	m["YearCarbonEmissions"] = YearCarbonEmissions             //今年碳排
	resp.HandleSuccess(ctx, m)
}