// Code generated by ent, DO NOT EDIT. package ent import ( "context" "database/sql/driver" "fmt" "math" "entgo.io/ent/dialect/sql" "entgo.io/ent/dialect/sql/sqlgraph" "entgo.io/ent/schema/field" "github.com/crowdsecurity/crowdsec/pkg/database/ent/alert" "github.com/crowdsecurity/crowdsec/pkg/database/ent/machine" "github.com/crowdsecurity/crowdsec/pkg/database/ent/predicate" ) // MachineQuery is the builder for querying Machine entities. type MachineQuery struct { config limit *int offset *int unique *bool order []OrderFunc fields []string predicates []predicate.Machine withAlerts *AlertQuery // intermediate query (i.e. traversal path). sql *sql.Selector path func(context.Context) (*sql.Selector, error) } // Where adds a new predicate for the MachineQuery builder. func (mq *MachineQuery) Where(ps ...predicate.Machine) *MachineQuery { mq.predicates = append(mq.predicates, ps...) return mq } // Limit adds a limit step to the query. func (mq *MachineQuery) Limit(limit int) *MachineQuery { mq.limit = &limit return mq } // Offset adds an offset step to the query. func (mq *MachineQuery) Offset(offset int) *MachineQuery { mq.offset = &offset return mq } // Unique configures the query builder to filter duplicate records on query. // By default, unique is set to true, and can be disabled using this method. func (mq *MachineQuery) Unique(unique bool) *MachineQuery { mq.unique = &unique return mq } // Order adds an order step to the query. func (mq *MachineQuery) Order(o ...OrderFunc) *MachineQuery { mq.order = append(mq.order, o...) return mq } // QueryAlerts chains the current query on the "alerts" edge. func (mq *MachineQuery) QueryAlerts() *AlertQuery { query := &AlertQuery{config: mq.config} query.path = func(ctx context.Context) (fromU *sql.Selector, err error) { if err := mq.prepareQuery(ctx); err != nil { return nil, err } selector := mq.sqlQuery(ctx) if err := selector.Err(); err != nil { return nil, err } step := sqlgraph.NewStep( sqlgraph.From(machine.Table, machine.FieldID, selector), sqlgraph.To(alert.Table, alert.FieldID), sqlgraph.Edge(sqlgraph.O2M, false, machine.AlertsTable, machine.AlertsColumn), ) fromU = sqlgraph.SetNeighbors(mq.driver.Dialect(), step) return fromU, nil } return query } // First returns the first Machine entity from the query. // Returns a *NotFoundError when no Machine was found. func (mq *MachineQuery) First(ctx context.Context) (*Machine, error) { nodes, err := mq.Limit(1).All(ctx) if err != nil { return nil, err } if len(nodes) == 0 { return nil, &NotFoundError{machine.Label} } return nodes[0], nil } // FirstX is like First, but panics if an error occurs. func (mq *MachineQuery) FirstX(ctx context.Context) *Machine { node, err := mq.First(ctx) if err != nil && !IsNotFound(err) { panic(err) } return node } // FirstID returns the first Machine ID from the query. // Returns a *NotFoundError when no Machine ID was found. func (mq *MachineQuery) FirstID(ctx context.Context) (id int, err error) { var ids []int if ids, err = mq.Limit(1).IDs(ctx); err != nil { return } if len(ids) == 0 { err = &NotFoundError{machine.Label} return } return ids[0], nil } // FirstIDX is like FirstID, but panics if an error occurs. func (mq *MachineQuery) FirstIDX(ctx context.Context) int { id, err := mq.FirstID(ctx) if err != nil && !IsNotFound(err) { panic(err) } return id } // Only returns a single Machine entity found by the query, ensuring it only returns one. // Returns a *NotSingularError when more than one Machine entity is found. // Returns a *NotFoundError when no Machine entities are found. func (mq *MachineQuery) Only(ctx context.Context) (*Machine, error) { nodes, err := mq.Limit(2).All(ctx) if err != nil { return nil, err } switch len(nodes) { case 1: return nodes[0], nil case 0: return nil, &NotFoundError{machine.Label} default: return nil, &NotSingularError{machine.Label} } } // OnlyX is like Only, but panics if an error occurs. func (mq *MachineQuery) OnlyX(ctx context.Context) *Machine { node, err := mq.Only(ctx) if err != nil { panic(err) } return node } // OnlyID is like Only, but returns the only Machine ID in the query. // Returns a *NotSingularError when more than one Machine ID is found. // Returns a *NotFoundError when no entities are found. func (mq *MachineQuery) OnlyID(ctx context.Context) (id int, err error) { var ids []int if ids, err = mq.Limit(2).IDs(ctx); err != nil { return } switch len(ids) { case 1: id = ids[0] case 0: err = &NotFoundError{machine.Label} default: err = &NotSingularError{machine.Label} } return } // OnlyIDX is like OnlyID, but panics if an error occurs. func (mq *MachineQuery) OnlyIDX(ctx context.Context) int { id, err := mq.OnlyID(ctx) if err != nil { panic(err) } return id } // All executes the query and returns a list of Machines. func (mq *MachineQuery) All(ctx context.Context) ([]*Machine, error) { if err := mq.prepareQuery(ctx); err != nil { return nil, err } return mq.sqlAll(ctx) } // AllX is like All, but panics if an error occurs. func (mq *MachineQuery) AllX(ctx context.Context) []*Machine { nodes, err := mq.All(ctx) if err != nil { panic(err) } return nodes } // IDs executes the query and returns a list of Machine IDs. func (mq *MachineQuery) IDs(ctx context.Context) ([]int, error) { var ids []int if err := mq.Select(machine.FieldID).Scan(ctx, &ids); err != nil { return nil, err } return ids, nil } // IDsX is like IDs, but panics if an error occurs. func (mq *MachineQuery) IDsX(ctx context.Context) []int { ids, err := mq.IDs(ctx) if err != nil { panic(err) } return ids } // Count returns the count of the given query. func (mq *MachineQuery) Count(ctx context.Context) (int, error) { if err := mq.prepareQuery(ctx); err != nil { return 0, err } return mq.sqlCount(ctx) } // CountX is like Count, but panics if an error occurs. func (mq *MachineQuery) CountX(ctx context.Context) int { count, err := mq.Count(ctx) if err != nil { panic(err) } return count } // Exist returns true if the query has elements in the graph. func (mq *MachineQuery) Exist(ctx context.Context) (bool, error) { if err := mq.prepareQuery(ctx); err != nil { return false, err } return mq.sqlExist(ctx) } // ExistX is like Exist, but panics if an error occurs. func (mq *MachineQuery) ExistX(ctx context.Context) bool { exist, err := mq.Exist(ctx) if err != nil { panic(err) } return exist } // Clone returns a duplicate of the MachineQuery builder, including all associated steps. It can be // used to prepare common query builders and use them differently after the clone is made. func (mq *MachineQuery) Clone() *MachineQuery { if mq == nil { return nil } return &MachineQuery{ config: mq.config, limit: mq.limit, offset: mq.offset, order: append([]OrderFunc{}, mq.order...), predicates: append([]predicate.Machine{}, mq.predicates...), withAlerts: mq.withAlerts.Clone(), // clone intermediate query. sql: mq.sql.Clone(), path: mq.path, unique: mq.unique, } } // WithAlerts tells the query-builder to eager-load the nodes that are connected to // the "alerts" edge. The optional arguments are used to configure the query builder of the edge. func (mq *MachineQuery) WithAlerts(opts ...func(*AlertQuery)) *MachineQuery { query := &AlertQuery{config: mq.config} for _, opt := range opts { opt(query) } mq.withAlerts = query return mq } // GroupBy is used to group vertices by one or more fields/columns. // It is often used with aggregate functions, like: count, max, mean, min, sum. // // Example: // // var v []struct { // CreatedAt time.Time `json:"created_at,omitempty"` // Count int `json:"count,omitempty"` // } // // client.Machine.Query(). // GroupBy(machine.FieldCreatedAt). // Aggregate(ent.Count()). // Scan(ctx, &v) func (mq *MachineQuery) GroupBy(field string, fields ...string) *MachineGroupBy { grbuild := &MachineGroupBy{config: mq.config} grbuild.fields = append([]string{field}, fields...) grbuild.path = func(ctx context.Context) (prev *sql.Selector, err error) { if err := mq.prepareQuery(ctx); err != nil { return nil, err } return mq.sqlQuery(ctx), nil } grbuild.label = machine.Label grbuild.flds, grbuild.scan = &grbuild.fields, grbuild.Scan return grbuild } // Select allows the selection one or more fields/columns for the given query, // instead of selecting all fields in the entity. // // Example: // // var v []struct { // CreatedAt time.Time `json:"created_at,omitempty"` // } // // client.Machine.Query(). // Select(machine.FieldCreatedAt). // Scan(ctx, &v) func (mq *MachineQuery) Select(fields ...string) *MachineSelect { mq.fields = append(mq.fields, fields...) selbuild := &MachineSelect{MachineQuery: mq} selbuild.label = machine.Label selbuild.flds, selbuild.scan = &mq.fields, selbuild.Scan return selbuild } func (mq *MachineQuery) prepareQuery(ctx context.Context) error { for _, f := range mq.fields { if !machine.ValidColumn(f) { return &ValidationError{Name: f, err: fmt.Errorf("ent: invalid field %q for query", f)} } } if mq.path != nil { prev, err := mq.path(ctx) if err != nil { return err } mq.sql = prev } return nil } func (mq *MachineQuery) sqlAll(ctx context.Context, hooks ...queryHook) ([]*Machine, error) { var ( nodes = []*Machine{} _spec = mq.querySpec() loadedTypes = [1]bool{ mq.withAlerts != nil, } ) _spec.ScanValues = func(columns []string) ([]any, error) { return (*Machine).scanValues(nil, columns) } _spec.Assign = func(columns []string, values []any) error { node := &Machine{config: mq.config} nodes = append(nodes, node) node.Edges.loadedTypes = loadedTypes return node.assignValues(columns, values) } for i := range hooks { hooks[i](ctx, _spec) } if err := sqlgraph.QueryNodes(ctx, mq.driver, _spec); err != nil { return nil, err } if len(nodes) == 0 { return nodes, nil } if query := mq.withAlerts; query != nil { if err := mq.loadAlerts(ctx, query, nodes, func(n *Machine) { n.Edges.Alerts = []*Alert{} }, func(n *Machine, e *Alert) { n.Edges.Alerts = append(n.Edges.Alerts, e) }); err != nil { return nil, err } } return nodes, nil } func (mq *MachineQuery) loadAlerts(ctx context.Context, query *AlertQuery, nodes []*Machine, init func(*Machine), assign func(*Machine, *Alert)) error { fks := make([]driver.Value, 0, len(nodes)) nodeids := make(map[int]*Machine) for i := range nodes { fks = append(fks, nodes[i].ID) nodeids[nodes[i].ID] = nodes[i] if init != nil { init(nodes[i]) } } query.withFKs = true query.Where(predicate.Alert(func(s *sql.Selector) { s.Where(sql.InValues(machine.AlertsColumn, fks...)) })) neighbors, err := query.All(ctx) if err != nil { return err } for _, n := range neighbors { fk := n.machine_alerts if fk == nil { return fmt.Errorf(`foreign-key "machine_alerts" is nil for node %v`, n.ID) } node, ok := nodeids[*fk] if !ok { return fmt.Errorf(`unexpected foreign-key "machine_alerts" returned %v for node %v`, *fk, n.ID) } assign(node, n) } return nil } func (mq *MachineQuery) sqlCount(ctx context.Context) (int, error) { _spec := mq.querySpec() _spec.Node.Columns = mq.fields if len(mq.fields) > 0 { _spec.Unique = mq.unique != nil && *mq.unique } return sqlgraph.CountNodes(ctx, mq.driver, _spec) } func (mq *MachineQuery) sqlExist(ctx context.Context) (bool, error) { switch _, err := mq.FirstID(ctx); { case IsNotFound(err): return false, nil case err != nil: return false, fmt.Errorf("ent: check existence: %w", err) default: return true, nil } } func (mq *MachineQuery) querySpec() *sqlgraph.QuerySpec { _spec := &sqlgraph.QuerySpec{ Node: &sqlgraph.NodeSpec{ Table: machine.Table, Columns: machine.Columns, ID: &sqlgraph.FieldSpec{ Type: field.TypeInt, Column: machine.FieldID, }, }, From: mq.sql, Unique: true, } if unique := mq.unique; unique != nil { _spec.Unique = *unique } if fields := mq.fields; len(fields) > 0 { _spec.Node.Columns = make([]string, 0, len(fields)) _spec.Node.Columns = append(_spec.Node.Columns, machine.FieldID) for i := range fields { if fields[i] != machine.FieldID { _spec.Node.Columns = append(_spec.Node.Columns, fields[i]) } } } if ps := mq.predicates; len(ps) > 0 { _spec.Predicate = func(selector *sql.Selector) { for i := range ps { ps[i](selector) } } } if limit := mq.limit; limit != nil { _spec.Limit = *limit } if offset := mq.offset; offset != nil { _spec.Offset = *offset } if ps := mq.order; len(ps) > 0 { _spec.Order = func(selector *sql.Selector) { for i := range ps { ps[i](selector) } } } return _spec } func (mq *MachineQuery) sqlQuery(ctx context.Context) *sql.Selector { builder := sql.Dialect(mq.driver.Dialect()) t1 := builder.Table(machine.Table) columns := mq.fields if len(columns) == 0 { columns = machine.Columns } selector := builder.Select(t1.Columns(columns...)...).From(t1) if mq.sql != nil { selector = mq.sql selector.Select(selector.Columns(columns...)...) } if mq.unique != nil && *mq.unique { selector.Distinct() } for _, p := range mq.predicates { p(selector) } for _, p := range mq.order { p(selector) } if offset := mq.offset; offset != nil { // limit is mandatory for offset clause. We start // with default value, and override it below if needed. selector.Offset(*offset).Limit(math.MaxInt32) } if limit := mq.limit; limit != nil { selector.Limit(*limit) } return selector } // MachineGroupBy is the group-by builder for Machine entities. type MachineGroupBy struct { config selector fields []string fns []AggregateFunc // intermediate query (i.e. traversal path). sql *sql.Selector path func(context.Context) (*sql.Selector, error) } // Aggregate adds the given aggregation functions to the group-by query. func (mgb *MachineGroupBy) Aggregate(fns ...AggregateFunc) *MachineGroupBy { mgb.fns = append(mgb.fns, fns...) return mgb } // Scan applies the group-by query and scans the result into the given value. func (mgb *MachineGroupBy) Scan(ctx context.Context, v any) error { query, err := mgb.path(ctx) if err != nil { return err } mgb.sql = query return mgb.sqlScan(ctx, v) } func (mgb *MachineGroupBy) sqlScan(ctx context.Context, v any) error { for _, f := range mgb.fields { if !machine.ValidColumn(f) { return &ValidationError{Name: f, err: fmt.Errorf("invalid field %q for group-by", f)} } } selector := mgb.sqlQuery() if err := selector.Err(); err != nil { return err } rows := &sql.Rows{} query, args := selector.Query() if err := mgb.driver.Query(ctx, query, args, rows); err != nil { return err } defer rows.Close() return sql.ScanSlice(rows, v) } func (mgb *MachineGroupBy) sqlQuery() *sql.Selector { selector := mgb.sql.Select() aggregation := make([]string, 0, len(mgb.fns)) for _, fn := range mgb.fns { aggregation = append(aggregation, fn(selector)) } // If no columns were selected in a custom aggregation function, the default // selection is the fields used for "group-by", and the aggregation functions. if len(selector.SelectedColumns()) == 0 { columns := make([]string, 0, len(mgb.fields)+len(mgb.fns)) for _, f := range mgb.fields { columns = append(columns, selector.C(f)) } columns = append(columns, aggregation...) selector.Select(columns...) } return selector.GroupBy(selector.Columns(mgb.fields...)...) } // MachineSelect is the builder for selecting fields of Machine entities. type MachineSelect struct { *MachineQuery selector // intermediate query (i.e. traversal path). sql *sql.Selector } // Scan applies the selector query and scans the result into the given value. func (ms *MachineSelect) Scan(ctx context.Context, v any) error { if err := ms.prepareQuery(ctx); err != nil { return err } ms.sql = ms.MachineQuery.sqlQuery(ctx) return ms.sqlScan(ctx, v) } func (ms *MachineSelect) sqlScan(ctx context.Context, v any) error { rows := &sql.Rows{} query, args := ms.sql.Query() if err := ms.driver.Query(ctx, query, args, rows); err != nil { return err } defer rows.Close() return sql.ScanSlice(rows, v) }