eta_mobile/models/ai_predict_model/ai_predict_model_index.go

package data_manage

import (
	"fmt"
	"github.com/beego/beego/v2/client/orm"
	"time"
)

// AiPredictModelIndex AI预测模型标的
type AiPredictModelIndex struct {
	AiPredictModelIndexId int       `orm:"column(ai_predict_model_index_id);pk" gorm:"primaryKey"`
	IndexName             string    `description:"标的名称"`
	IndexCode             string    `description:"自生成的指标编码"`
	ClassifyId            int       `description:"分类ID"`
	ModelFramework        string    `description:"模型框架"`
	PredictDate           time.Time `description:"预测日期"`
	PredictValue          float64   `description:"预测值"`
	PredictFrequency      string    `description:"预测频度"`
	DirectionAccuracy     string    `description:"方向准确度"`
	AbsoluteDeviation     string    `description:"绝对偏差"`
	ExtraConfig           string    `description:"模型参数"`
	Sort                  int       `description:"排序"`
	SysUserId             int       `description:"创建人ID"`
	SysUserRealName       string    `description:"创建人姓名"`
	LeftMin               string    `description:"图表左侧最小值"`
	LeftMax               string    `description:"图表左侧最大值"`
	CreateTime            time.Time `description:"创建时间"`
	ModifyTime            time.Time `description:"修改时间"`
}

func (m *AiPredictModelIndex) TableName() string {
	return "ai_predict_model_index"
}

type AiPredictModelIndexCols struct {
	PrimaryId         string
	IndexName         string
	IndexCode         string
	ClassifyId        string
	ModelFramework    string
	PredictDate       string
	PredictValue      string
	DirectionAccuracy string
	AbsoluteDeviation string
	ExtraConfig       string
	Sort              string
	SysUserId         string
	SysUserRealName   string
	LeftMin           string
	LeftMax           string
	CreateTime        string
	ModifyTime        string
}

func (m *AiPredictModelIndex) Cols() AiPredictModelIndexCols {
	return AiPredictModelIndexCols{
		PrimaryId:         "ai_predict_model_index_id",
		IndexName:         "index_name",
		IndexCode:         "index_code",
		ClassifyId:        "classify_id",
		ModelFramework:    "model_framework",
		PredictDate:       "predict_date",
		PredictValue:      "predict_value",
		DirectionAccuracy: "direction_accuracy",
		AbsoluteDeviation: "absolute_deviation",
		ExtraConfig:       "extra_config",
		Sort:              "sort",
		SysUserId:         "sys_user_id",
		SysUserRealName:   "sys_user_real_name",
		LeftMin:           "left_min",
		LeftMax:           "left_max",
		CreateTime:        "create_time",
		ModifyTime:        "modify_time",
	}
}

func (m *AiPredictModelIndex) GetItemById(id int) (item *AiPredictModelIndex, err error) {
	o := orm.NewOrmUsingDB("data")
	sql := fmt.Sprintf(`SELECT * FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
	err = o.Raw(sql, id).QueryRow(&item)
	return
}

type AiPredictModelIndexExtraConfig struct {
	MonthlyChart struct {
		LeftMin string `description:"图表左侧最小值"`
		LeftMax string `description:"图表左侧最大值"`
		Unit    string `description:"单位"`
	}
	DailyChart struct {
		LeftMin           string `description:"图表左侧最小值"`
		LeftMax           string `description:"图表左侧最大值"`
		Unit              string `description:"单位"`
		PredictLegendName string `description:"预测图例的名称（通常为Predicted）"`
	}
}