397 lines
12 KiB
Go
397 lines
12 KiB
Go
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// Code generated by gorm.io/gen. DO NOT EDIT.
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// Code generated by gorm.io/gen. DO NOT EDIT.
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// Code generated by gorm.io/gen. DO NOT EDIT.
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package dbquery
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import (
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"context"
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"gorm.io/gorm"
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"gorm.io/gorm/clause"
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"gorm.io/gorm/schema"
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"gorm.io/gen"
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"gorm.io/gen/field"
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"gorm.io/plugin/dbresolver"
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"joylink.club/bj-rtsts-server/db/model"
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)
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func newTrainSensor(db *gorm.DB, opts ...gen.DOOption) trainSensor {
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_trainSensor := trainSensor{}
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_trainSensor.trainSensorDo.UseDB(db, opts...)
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_trainSensor.trainSensorDo.UseModel(&model.TrainSensor{})
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tableName := _trainSensor.trainSensorDo.TableName()
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_trainSensor.ALL = field.NewAsterisk(tableName)
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_trainSensor.ID = field.NewInt32(tableName, "id")
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_trainSensor.Name = field.NewString(tableName, "name")
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_trainSensor.AxialPosition = field.NewInt32(tableName, "axial_position")
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_trainSensor.InstallDirection = field.NewString(tableName, "install_direction")
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_trainSensor.fillFieldMap()
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return _trainSensor
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}
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type trainSensor struct {
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trainSensorDo
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ALL field.Asterisk
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ID field.Int32
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Name field.String // 名称
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AxialPosition field.Int32 // 速度传感器安装轴位,本端车前进方向的第几轴
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/*
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速度传感器安装方向,
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本端车前进方向的左侧或右侧
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*/
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InstallDirection field.String
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fieldMap map[string]field.Expr
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}
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func (t trainSensor) Table(newTableName string) *trainSensor {
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t.trainSensorDo.UseTable(newTableName)
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return t.updateTableName(newTableName)
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}
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func (t trainSensor) As(alias string) *trainSensor {
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t.trainSensorDo.DO = *(t.trainSensorDo.As(alias).(*gen.DO))
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return t.updateTableName(alias)
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}
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func (t *trainSensor) updateTableName(table string) *trainSensor {
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t.ALL = field.NewAsterisk(table)
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t.ID = field.NewInt32(table, "id")
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t.Name = field.NewString(table, "name")
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t.AxialPosition = field.NewInt32(table, "axial_position")
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t.InstallDirection = field.NewString(table, "install_direction")
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t.fillFieldMap()
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return t
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}
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func (t *trainSensor) GetFieldByName(fieldName string) (field.OrderExpr, bool) {
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_f, ok := t.fieldMap[fieldName]
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if !ok || _f == nil {
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return nil, false
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}
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_oe, ok := _f.(field.OrderExpr)
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return _oe, ok
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}
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func (t *trainSensor) fillFieldMap() {
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t.fieldMap = make(map[string]field.Expr, 4)
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t.fieldMap["id"] = t.ID
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t.fieldMap["name"] = t.Name
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t.fieldMap["axial_position"] = t.AxialPosition
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t.fieldMap["install_direction"] = t.InstallDirection
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}
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func (t trainSensor) clone(db *gorm.DB) trainSensor {
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t.trainSensorDo.ReplaceConnPool(db.Statement.ConnPool)
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return t
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}
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func (t trainSensor) replaceDB(db *gorm.DB) trainSensor {
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t.trainSensorDo.ReplaceDB(db)
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return t
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}
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type trainSensorDo struct{ gen.DO }
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type ITrainSensorDo interface {
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gen.SubQuery
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Debug() ITrainSensorDo
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WithContext(ctx context.Context) ITrainSensorDo
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WithResult(fc func(tx gen.Dao)) gen.ResultInfo
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ReplaceDB(db *gorm.DB)
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ReadDB() ITrainSensorDo
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WriteDB() ITrainSensorDo
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As(alias string) gen.Dao
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Session(config *gorm.Session) ITrainSensorDo
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Columns(cols ...field.Expr) gen.Columns
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Clauses(conds ...clause.Expression) ITrainSensorDo
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Not(conds ...gen.Condition) ITrainSensorDo
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Or(conds ...gen.Condition) ITrainSensorDo
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Select(conds ...field.Expr) ITrainSensorDo
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Where(conds ...gen.Condition) ITrainSensorDo
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Order(conds ...field.Expr) ITrainSensorDo
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Distinct(cols ...field.Expr) ITrainSensorDo
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Omit(cols ...field.Expr) ITrainSensorDo
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Join(table schema.Tabler, on ...field.Expr) ITrainSensorDo
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LeftJoin(table schema.Tabler, on ...field.Expr) ITrainSensorDo
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RightJoin(table schema.Tabler, on ...field.Expr) ITrainSensorDo
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Group(cols ...field.Expr) ITrainSensorDo
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Having(conds ...gen.Condition) ITrainSensorDo
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Limit(limit int) ITrainSensorDo
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Offset(offset int) ITrainSensorDo
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Count() (count int64, err error)
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Scopes(funcs ...func(gen.Dao) gen.Dao) ITrainSensorDo
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Unscoped() ITrainSensorDo
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Create(values ...*model.TrainSensor) error
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CreateInBatches(values []*model.TrainSensor, batchSize int) error
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Save(values ...*model.TrainSensor) error
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First() (*model.TrainSensor, error)
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Take() (*model.TrainSensor, error)
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Last() (*model.TrainSensor, error)
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Find() ([]*model.TrainSensor, error)
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FindInBatch(batchSize int, fc func(tx gen.Dao, batch int) error) (results []*model.TrainSensor, err error)
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FindInBatches(result *[]*model.TrainSensor, batchSize int, fc func(tx gen.Dao, batch int) error) error
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Pluck(column field.Expr, dest interface{}) error
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Delete(...*model.TrainSensor) (info gen.ResultInfo, err error)
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Update(column field.Expr, value interface{}) (info gen.ResultInfo, err error)
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UpdateSimple(columns ...field.AssignExpr) (info gen.ResultInfo, err error)
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Updates(value interface{}) (info gen.ResultInfo, err error)
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UpdateColumn(column field.Expr, value interface{}) (info gen.ResultInfo, err error)
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UpdateColumnSimple(columns ...field.AssignExpr) (info gen.ResultInfo, err error)
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UpdateColumns(value interface{}) (info gen.ResultInfo, err error)
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UpdateFrom(q gen.SubQuery) gen.Dao
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Attrs(attrs ...field.AssignExpr) ITrainSensorDo
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Assign(attrs ...field.AssignExpr) ITrainSensorDo
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Joins(fields ...field.RelationField) ITrainSensorDo
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Preload(fields ...field.RelationField) ITrainSensorDo
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FirstOrInit() (*model.TrainSensor, error)
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FirstOrCreate() (*model.TrainSensor, error)
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FindByPage(offset int, limit int) (result []*model.TrainSensor, count int64, err error)
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ScanByPage(result interface{}, offset int, limit int) (count int64, err error)
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Scan(result interface{}) (err error)
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Returning(value interface{}, columns ...string) ITrainSensorDo
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UnderlyingDB() *gorm.DB
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schema.Tabler
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}
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func (t trainSensorDo) Debug() ITrainSensorDo {
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return t.withDO(t.DO.Debug())
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}
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func (t trainSensorDo) WithContext(ctx context.Context) ITrainSensorDo {
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return t.withDO(t.DO.WithContext(ctx))
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}
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func (t trainSensorDo) ReadDB() ITrainSensorDo {
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return t.Clauses(dbresolver.Read)
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}
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func (t trainSensorDo) WriteDB() ITrainSensorDo {
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return t.Clauses(dbresolver.Write)
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}
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func (t trainSensorDo) Session(config *gorm.Session) ITrainSensorDo {
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return t.withDO(t.DO.Session(config))
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}
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func (t trainSensorDo) Clauses(conds ...clause.Expression) ITrainSensorDo {
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return t.withDO(t.DO.Clauses(conds...))
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}
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func (t trainSensorDo) Returning(value interface{}, columns ...string) ITrainSensorDo {
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return t.withDO(t.DO.Returning(value, columns...))
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}
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func (t trainSensorDo) Not(conds ...gen.Condition) ITrainSensorDo {
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return t.withDO(t.DO.Not(conds...))
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}
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func (t trainSensorDo) Or(conds ...gen.Condition) ITrainSensorDo {
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return t.withDO(t.DO.Or(conds...))
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}
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func (t trainSensorDo) Select(conds ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.Select(conds...))
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}
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func (t trainSensorDo) Where(conds ...gen.Condition) ITrainSensorDo {
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return t.withDO(t.DO.Where(conds...))
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}
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func (t trainSensorDo) Order(conds ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.Order(conds...))
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}
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func (t trainSensorDo) Distinct(cols ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.Distinct(cols...))
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}
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func (t trainSensorDo) Omit(cols ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.Omit(cols...))
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}
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func (t trainSensorDo) Join(table schema.Tabler, on ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.Join(table, on...))
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}
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func (t trainSensorDo) LeftJoin(table schema.Tabler, on ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.LeftJoin(table, on...))
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}
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func (t trainSensorDo) RightJoin(table schema.Tabler, on ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.RightJoin(table, on...))
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}
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func (t trainSensorDo) Group(cols ...field.Expr) ITrainSensorDo {
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return t.withDO(t.DO.Group(cols...))
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}
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func (t trainSensorDo) Having(conds ...gen.Condition) ITrainSensorDo {
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return t.withDO(t.DO.Having(conds...))
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}
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func (t trainSensorDo) Limit(limit int) ITrainSensorDo {
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return t.withDO(t.DO.Limit(limit))
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}
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func (t trainSensorDo) Offset(offset int) ITrainSensorDo {
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return t.withDO(t.DO.Offset(offset))
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}
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func (t trainSensorDo) Scopes(funcs ...func(gen.Dao) gen.Dao) ITrainSensorDo {
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return t.withDO(t.DO.Scopes(funcs...))
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}
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func (t trainSensorDo) Unscoped() ITrainSensorDo {
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return t.withDO(t.DO.Unscoped())
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}
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func (t trainSensorDo) Create(values ...*model.TrainSensor) error {
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if len(values) == 0 {
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return nil
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}
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return t.DO.Create(values)
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}
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func (t trainSensorDo) CreateInBatches(values []*model.TrainSensor, batchSize int) error {
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return t.DO.CreateInBatches(values, batchSize)
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}
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// Save : !!! underlying implementation is different with GORM
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// The method is equivalent to executing the statement: db.Clauses(clause.OnConflict{UpdateAll: true}).Create(values)
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func (t trainSensorDo) Save(values ...*model.TrainSensor) error {
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if len(values) == 0 {
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return nil
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}
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return t.DO.Save(values)
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}
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func (t trainSensorDo) First() (*model.TrainSensor, error) {
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if result, err := t.DO.First(); err != nil {
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return nil, err
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} else {
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return result.(*model.TrainSensor), nil
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}
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}
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func (t trainSensorDo) Take() (*model.TrainSensor, error) {
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if result, err := t.DO.Take(); err != nil {
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return nil, err
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} else {
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return result.(*model.TrainSensor), nil
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}
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}
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func (t trainSensorDo) Last() (*model.TrainSensor, error) {
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if result, err := t.DO.Last(); err != nil {
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return nil, err
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} else {
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return result.(*model.TrainSensor), nil
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}
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}
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func (t trainSensorDo) Find() ([]*model.TrainSensor, error) {
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result, err := t.DO.Find()
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return result.([]*model.TrainSensor), err
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}
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func (t trainSensorDo) FindInBatch(batchSize int, fc func(tx gen.Dao, batch int) error) (results []*model.TrainSensor, err error) {
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buf := make([]*model.TrainSensor, 0, batchSize)
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err = t.DO.FindInBatches(&buf, batchSize, func(tx gen.Dao, batch int) error {
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defer func() { results = append(results, buf...) }()
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return fc(tx, batch)
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})
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return results, err
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}
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func (t trainSensorDo) FindInBatches(result *[]*model.TrainSensor, batchSize int, fc func(tx gen.Dao, batch int) error) error {
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return t.DO.FindInBatches(result, batchSize, fc)
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}
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func (t trainSensorDo) Attrs(attrs ...field.AssignExpr) ITrainSensorDo {
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return t.withDO(t.DO.Attrs(attrs...))
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}
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func (t trainSensorDo) Assign(attrs ...field.AssignExpr) ITrainSensorDo {
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return t.withDO(t.DO.Assign(attrs...))
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}
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func (t trainSensorDo) Joins(fields ...field.RelationField) ITrainSensorDo {
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for _, _f := range fields {
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t = *t.withDO(t.DO.Joins(_f))
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}
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return &t
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}
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func (t trainSensorDo) Preload(fields ...field.RelationField) ITrainSensorDo {
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for _, _f := range fields {
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t = *t.withDO(t.DO.Preload(_f))
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}
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return &t
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}
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func (t trainSensorDo) FirstOrInit() (*model.TrainSensor, error) {
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if result, err := t.DO.FirstOrInit(); err != nil {
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return nil, err
|
||
|
|
} else {
|
||
|
|
return result.(*model.TrainSensor), nil
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
func (t trainSensorDo) FirstOrCreate() (*model.TrainSensor, error) {
|
||
|
|
if result, err := t.DO.FirstOrCreate(); err != nil {
|
||
|
|
return nil, err
|
||
|
|
} else {
|
||
|
|
return result.(*model.TrainSensor), nil
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
func (t trainSensorDo) FindByPage(offset int, limit int) (result []*model.TrainSensor, count int64, err error) {
|
||
|
|
result, err = t.Offset(offset).Limit(limit).Find()
|
||
|
|
if err != nil {
|
||
|
|
return
|
||
|
|
}
|
||
|
|
|
||
|
|
if size := len(result); 0 < limit && 0 < size && size < limit {
|
||
|
|
count = int64(size + offset)
|
||
|
|
return
|
||
|
|
}
|
||
|
|
|
||
|
|
count, err = t.Offset(-1).Limit(-1).Count()
|
||
|
|
return
|
||
|
|
}
|
||
|
|
|
||
|
|
func (t trainSensorDo) ScanByPage(result interface{}, offset int, limit int) (count int64, err error) {
|
||
|
|
count, err = t.Count()
|
||
|
|
if err != nil {
|
||
|
|
return
|
||
|
|
}
|
||
|
|
|
||
|
|
err = t.Offset(offset).Limit(limit).Scan(result)
|
||
|
|
return
|
||
|
|
}
|
||
|
|
|
||
|
|
func (t trainSensorDo) Scan(result interface{}) (err error) {
|
||
|
|
return t.DO.Scan(result)
|
||
|
|
}
|
||
|
|
|
||
|
|
func (t trainSensorDo) Delete(models ...*model.TrainSensor) (result gen.ResultInfo, err error) {
|
||
|
|
return t.DO.Delete(models)
|
||
|
|
}
|
||
|
|
|
||
|
|
func (t *trainSensorDo) withDO(do gen.Dao) *trainSensorDo {
|
||
|
|
t.DO = *do.(*gen.DO)
|
||
|
|
return t
|
||
|
|
}
|