// Code generated by ent, DO NOT EDIT. package ent import ( "context" "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/metric" "github.com/crowdsecurity/crowdsec/pkg/database/ent/predicate" ) // MetricQuery is the builder for querying Metric entities. type MetricQuery struct { config ctx *QueryContext order []metric.OrderOption inters []Interceptor predicates []predicate.Metric // intermediate query (i.e. traversal path). sql *sql.Selector path func(context.Context) (*sql.Selector, error) } // Where adds a new predicate for the MetricQuery builder. func (mq *MetricQuery) Where(ps ...predicate.Metric) *MetricQuery { mq.predicates = append(mq.predicates, ps...) return mq } // Limit the number of records to be returned by this query. func (mq *MetricQuery) Limit(limit int) *MetricQuery { mq.ctx.Limit = &limit return mq } // Offset to start from. func (mq *MetricQuery) Offset(offset int) *MetricQuery { mq.ctx.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 *MetricQuery) Unique(unique bool) *MetricQuery { mq.ctx.Unique = &unique return mq } // Order specifies how the records should be ordered. func (mq *MetricQuery) Order(o ...metric.OrderOption) *MetricQuery { mq.order = append(mq.order, o...) return mq } // First returns the first Metric entity from the query. // Returns a *NotFoundError when no Metric was found. func (mq *MetricQuery) First(ctx context.Context) (*Metric, error) { nodes, err := mq.Limit(1).All(setContextOp(ctx, mq.ctx, "First")) if err != nil { return nil, err } if len(nodes) == 0 { return nil, &NotFoundError{metric.Label} } return nodes[0], nil } // FirstX is like First, but panics if an error occurs. func (mq *MetricQuery) FirstX(ctx context.Context) *Metric { node, err := mq.First(ctx) if err != nil && !IsNotFound(err) { panic(err) } return node } // FirstID returns the first Metric ID from the query. // Returns a *NotFoundError when no Metric ID was found. func (mq *MetricQuery) FirstID(ctx context.Context) (id int, err error) { var ids []int if ids, err = mq.Limit(1).IDs(setContextOp(ctx, mq.ctx, "FirstID")); err != nil { return } if len(ids) == 0 { err = &NotFoundError{metric.Label} return } return ids[0], nil } // FirstIDX is like FirstID, but panics if an error occurs. func (mq *MetricQuery) FirstIDX(ctx context.Context) int { id, err := mq.FirstID(ctx) if err != nil && !IsNotFound(err) { panic(err) } return id } // Only returns a single Metric entity found by the query, ensuring it only returns one. // Returns a *NotSingularError when more than one Metric entity is found. // Returns a *NotFoundError when no Metric entities are found. func (mq *MetricQuery) Only(ctx context.Context) (*Metric, error) { nodes, err := mq.Limit(2).All(setContextOp(ctx, mq.ctx, "Only")) if err != nil { return nil, err } switch len(nodes) { case 1: return nodes[0], nil case 0: return nil, &NotFoundError{metric.Label} default: return nil, &NotSingularError{metric.Label} } } // OnlyX is like Only, but panics if an error occurs. func (mq *MetricQuery) OnlyX(ctx context.Context) *Metric { node, err := mq.Only(ctx) if err != nil { panic(err) } return node } // OnlyID is like Only, but returns the only Metric ID in the query. // Returns a *NotSingularError when more than one Metric ID is found. // Returns a *NotFoundError when no entities are found. func (mq *MetricQuery) OnlyID(ctx context.Context) (id int, err error) { var ids []int if ids, err = mq.Limit(2).IDs(setContextOp(ctx, mq.ctx, "OnlyID")); err != nil { return } switch len(ids) { case 1: id = ids[0] case 0: err = &NotFoundError{metric.Label} default: err = &NotSingularError{metric.Label} } return } // OnlyIDX is like OnlyID, but panics if an error occurs. func (mq *MetricQuery) 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 Metrics. func (mq *MetricQuery) All(ctx context.Context) ([]*Metric, error) { ctx = setContextOp(ctx, mq.ctx, "All") if err := mq.prepareQuery(ctx); err != nil { return nil, err } qr := querierAll[[]*Metric, *MetricQuery]() return withInterceptors[[]*Metric](ctx, mq, qr, mq.inters) } // AllX is like All, but panics if an error occurs. func (mq *MetricQuery) AllX(ctx context.Context) []*Metric { nodes, err := mq.All(ctx) if err != nil { panic(err) } return nodes } // IDs executes the query and returns a list of Metric IDs. func (mq *MetricQuery) IDs(ctx context.Context) (ids []int, err error) { if mq.ctx.Unique == nil && mq.path != nil { mq.Unique(true) } ctx = setContextOp(ctx, mq.ctx, "IDs") if err = mq.Select(metric.FieldID).Scan(ctx, &ids); err != nil { return nil, err } return ids, nil } // IDsX is like IDs, but panics if an error occurs. func (mq *MetricQuery) 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 *MetricQuery) Count(ctx context.Context) (int, error) { ctx = setContextOp(ctx, mq.ctx, "Count") if err := mq.prepareQuery(ctx); err != nil { return 0, err } return withInterceptors[int](ctx, mq, querierCount[*MetricQuery](), mq.inters) } // CountX is like Count, but panics if an error occurs. func (mq *MetricQuery) 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 *MetricQuery) Exist(ctx context.Context) (bool, error) { ctx = setContextOp(ctx, mq.ctx, "Exist") 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 } } // ExistX is like Exist, but panics if an error occurs. func (mq *MetricQuery) ExistX(ctx context.Context) bool { exist, err := mq.Exist(ctx) if err != nil { panic(err) } return exist } // Clone returns a duplicate of the MetricQuery 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 *MetricQuery) Clone() *MetricQuery { if mq == nil { return nil } return &MetricQuery{ config: mq.config, ctx: mq.ctx.Clone(), order: append([]metric.OrderOption{}, mq.order...), inters: append([]Interceptor{}, mq.inters...), predicates: append([]predicate.Metric{}, mq.predicates...), // clone intermediate query. sql: mq.sql.Clone(), path: mq.path, } } // 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 { // GeneratedType metric.GeneratedType `json:"generated_type,omitempty"` // Count int `json:"count,omitempty"` // } // // client.Metric.Query(). // GroupBy(metric.FieldGeneratedType). // Aggregate(ent.Count()). // Scan(ctx, &v) func (mq *MetricQuery) GroupBy(field string, fields ...string) *MetricGroupBy { mq.ctx.Fields = append([]string{field}, fields...) grbuild := &MetricGroupBy{build: mq} grbuild.flds = &mq.ctx.Fields grbuild.label = metric.Label grbuild.scan = 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 { // GeneratedType metric.GeneratedType `json:"generated_type,omitempty"` // } // // client.Metric.Query(). // Select(metric.FieldGeneratedType). // Scan(ctx, &v) func (mq *MetricQuery) Select(fields ...string) *MetricSelect { mq.ctx.Fields = append(mq.ctx.Fields, fields...) sbuild := &MetricSelect{MetricQuery: mq} sbuild.label = metric.Label sbuild.flds, sbuild.scan = &mq.ctx.Fields, sbuild.Scan return sbuild } // Aggregate returns a MetricSelect configured with the given aggregations. func (mq *MetricQuery) Aggregate(fns ...AggregateFunc) *MetricSelect { return mq.Select().Aggregate(fns...) } func (mq *MetricQuery) prepareQuery(ctx context.Context) error { for _, inter := range mq.inters { if inter == nil { return fmt.Errorf("ent: uninitialized interceptor (forgotten import ent/runtime?)") } if trv, ok := inter.(Traverser); ok { if err := trv.Traverse(ctx, mq); err != nil { return err } } } for _, f := range mq.ctx.Fields { if !metric.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 *MetricQuery) sqlAll(ctx context.Context, hooks ...queryHook) ([]*Metric, error) { var ( nodes = []*Metric{} _spec = mq.querySpec() ) _spec.ScanValues = func(columns []string) ([]any, error) { return (*Metric).scanValues(nil, columns) } _spec.Assign = func(columns []string, values []any) error { node := &Metric{config: mq.config} nodes = append(nodes, node) 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 } return nodes, nil } func (mq *MetricQuery) sqlCount(ctx context.Context) (int, error) { _spec := mq.querySpec() _spec.Node.Columns = mq.ctx.Fields if len(mq.ctx.Fields) > 0 { _spec.Unique = mq.ctx.Unique != nil && *mq.ctx.Unique } return sqlgraph.CountNodes(ctx, mq.driver, _spec) } func (mq *MetricQuery) querySpec() *sqlgraph.QuerySpec { _spec := sqlgraph.NewQuerySpec(metric.Table, metric.Columns, sqlgraph.NewFieldSpec(metric.FieldID, field.TypeInt)) _spec.From = mq.sql if unique := mq.ctx.Unique; unique != nil { _spec.Unique = *unique } else if mq.path != nil { _spec.Unique = true } if fields := mq.ctx.Fields; len(fields) > 0 { _spec.Node.Columns = make([]string, 0, len(fields)) _spec.Node.Columns = append(_spec.Node.Columns, metric.FieldID) for i := range fields { if fields[i] != metric.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.ctx.Limit; limit != nil { _spec.Limit = *limit } if offset := mq.ctx.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 *MetricQuery) sqlQuery(ctx context.Context) *sql.Selector { builder := sql.Dialect(mq.driver.Dialect()) t1 := builder.Table(metric.Table) columns := mq.ctx.Fields if len(columns) == 0 { columns = metric.Columns } selector := builder.Select(t1.Columns(columns...)...).From(t1) if mq.sql != nil { selector = mq.sql selector.Select(selector.Columns(columns...)...) } if mq.ctx.Unique != nil && *mq.ctx.Unique { selector.Distinct() } for _, p := range mq.predicates { p(selector) } for _, p := range mq.order { p(selector) } if offset := mq.ctx.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.ctx.Limit; limit != nil { selector.Limit(*limit) } return selector } // MetricGroupBy is the group-by builder for Metric entities. type MetricGroupBy struct { selector build *MetricQuery } // Aggregate adds the given aggregation functions to the group-by query. func (mgb *MetricGroupBy) Aggregate(fns ...AggregateFunc) *MetricGroupBy { mgb.fns = append(mgb.fns, fns...) return mgb } // Scan applies the selector query and scans the result into the given value. func (mgb *MetricGroupBy) Scan(ctx context.Context, v any) error { ctx = setContextOp(ctx, mgb.build.ctx, "GroupBy") if err := mgb.build.prepareQuery(ctx); err != nil { return err } return scanWithInterceptors[*MetricQuery, *MetricGroupBy](ctx, mgb.build, mgb, mgb.build.inters, v) } func (mgb *MetricGroupBy) sqlScan(ctx context.Context, root *MetricQuery, v any) error { selector := root.sqlQuery(ctx).Select() aggregation := make([]string, 0, len(mgb.fns)) for _, fn := range mgb.fns { aggregation = append(aggregation, fn(selector)) } if len(selector.SelectedColumns()) == 0 { columns := make([]string, 0, len(*mgb.flds)+len(mgb.fns)) for _, f := range *mgb.flds { columns = append(columns, selector.C(f)) } columns = append(columns, aggregation...) selector.Select(columns...) } selector.GroupBy(selector.Columns(*mgb.flds...)...) if err := selector.Err(); err != nil { return err } rows := &sql.Rows{} query, args := selector.Query() if err := mgb.build.driver.Query(ctx, query, args, rows); err != nil { return err } defer rows.Close() return sql.ScanSlice(rows, v) } // MetricSelect is the builder for selecting fields of Metric entities. type MetricSelect struct { *MetricQuery selector } // Aggregate adds the given aggregation functions to the selector query. func (ms *MetricSelect) Aggregate(fns ...AggregateFunc) *MetricSelect { ms.fns = append(ms.fns, fns...) return ms } // Scan applies the selector query and scans the result into the given value. func (ms *MetricSelect) Scan(ctx context.Context, v any) error { ctx = setContextOp(ctx, ms.ctx, "Select") if err := ms.prepareQuery(ctx); err != nil { return err } return scanWithInterceptors[*MetricQuery, *MetricSelect](ctx, ms.MetricQuery, ms, ms.inters, v) } func (ms *MetricSelect) sqlScan(ctx context.Context, root *MetricQuery, v any) error { selector := root.sqlQuery(ctx) aggregation := make([]string, 0, len(ms.fns)) for _, fn := range ms.fns { aggregation = append(aggregation, fn(selector)) } switch n := len(*ms.selector.flds); { case n == 0 && len(aggregation) > 0: selector.Select(aggregation...) case n != 0 && len(aggregation) > 0: selector.AppendSelect(aggregation...) } rows := &sql.Rows{} query, args := selector.Query() if err := ms.driver.Query(ctx, query, args, rows); err != nil { return err } defer rows.Close() return sql.ScanSlice(rows, v) }