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machine_query.go
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machine_query.go
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// 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)
}