608 lines
18 KiB
Go
608 lines
18 KiB
Go
// Code generated by ent, DO NOT EDIT.
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package ent
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import (
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"context"
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"fmt"
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"math"
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"entgo.io/ent"
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"entgo.io/ent/dialect/sql"
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"entgo.io/ent/dialect/sql/sqlgraph"
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"entgo.io/ent/schema/field"
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"gitea.maison43.duckdns.org/gilles/matosbox/internal/data/ent/champpersonnalise"
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"gitea.maison43.duckdns.org/gilles/matosbox/internal/data/ent/objet"
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"gitea.maison43.duckdns.org/gilles/matosbox/internal/data/ent/predicate"
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"github.com/google/uuid"
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)
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// ChampPersonnaliseQuery is the builder for querying ChampPersonnalise entities.
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type ChampPersonnaliseQuery struct {
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config
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ctx *QueryContext
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order []champpersonnalise.OrderOption
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inters []Interceptor
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predicates []predicate.ChampPersonnalise
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withObjet *ObjetQuery
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// intermediate query (i.e. traversal path).
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sql *sql.Selector
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path func(context.Context) (*sql.Selector, error)
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}
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// Where adds a new predicate for the ChampPersonnaliseQuery builder.
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func (_q *ChampPersonnaliseQuery) Where(ps ...predicate.ChampPersonnalise) *ChampPersonnaliseQuery {
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_q.predicates = append(_q.predicates, ps...)
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return _q
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}
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// Limit the number of records to be returned by this query.
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func (_q *ChampPersonnaliseQuery) Limit(limit int) *ChampPersonnaliseQuery {
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_q.ctx.Limit = &limit
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return _q
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}
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// Offset to start from.
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func (_q *ChampPersonnaliseQuery) Offset(offset int) *ChampPersonnaliseQuery {
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_q.ctx.Offset = &offset
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return _q
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}
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// Unique configures the query builder to filter duplicate records on query.
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// By default, unique is set to true, and can be disabled using this method.
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func (_q *ChampPersonnaliseQuery) Unique(unique bool) *ChampPersonnaliseQuery {
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_q.ctx.Unique = &unique
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return _q
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}
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// Order specifies how the records should be ordered.
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func (_q *ChampPersonnaliseQuery) Order(o ...champpersonnalise.OrderOption) *ChampPersonnaliseQuery {
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_q.order = append(_q.order, o...)
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return _q
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}
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// QueryObjet chains the current query on the "objet" edge.
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func (_q *ChampPersonnaliseQuery) QueryObjet() *ObjetQuery {
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query := (&ObjetClient{config: _q.config}).Query()
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query.path = func(ctx context.Context) (fromU *sql.Selector, err error) {
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if err := _q.prepareQuery(ctx); err != nil {
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return nil, err
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}
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selector := _q.sqlQuery(ctx)
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if err := selector.Err(); err != nil {
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return nil, err
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}
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step := sqlgraph.NewStep(
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sqlgraph.From(champpersonnalise.Table, champpersonnalise.FieldID, selector),
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sqlgraph.To(objet.Table, objet.FieldID),
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sqlgraph.Edge(sqlgraph.M2O, true, champpersonnalise.ObjetTable, champpersonnalise.ObjetColumn),
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)
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fromU = sqlgraph.SetNeighbors(_q.driver.Dialect(), step)
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return fromU, nil
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}
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return query
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}
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// First returns the first ChampPersonnalise entity from the query.
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// Returns a *NotFoundError when no ChampPersonnalise was found.
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func (_q *ChampPersonnaliseQuery) First(ctx context.Context) (*ChampPersonnalise, error) {
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nodes, err := _q.Limit(1).All(setContextOp(ctx, _q.ctx, ent.OpQueryFirst))
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if err != nil {
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return nil, err
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}
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if len(nodes) == 0 {
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return nil, &NotFoundError{champpersonnalise.Label}
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}
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return nodes[0], nil
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}
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// FirstX is like First, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) FirstX(ctx context.Context) *ChampPersonnalise {
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node, err := _q.First(ctx)
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if err != nil && !IsNotFound(err) {
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panic(err)
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}
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return node
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}
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// FirstID returns the first ChampPersonnalise ID from the query.
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// Returns a *NotFoundError when no ChampPersonnalise ID was found.
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func (_q *ChampPersonnaliseQuery) FirstID(ctx context.Context) (id uuid.UUID, err error) {
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var ids []uuid.UUID
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if ids, err = _q.Limit(1).IDs(setContextOp(ctx, _q.ctx, ent.OpQueryFirstID)); err != nil {
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return
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}
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if len(ids) == 0 {
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err = &NotFoundError{champpersonnalise.Label}
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return
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}
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return ids[0], nil
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}
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// FirstIDX is like FirstID, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) FirstIDX(ctx context.Context) uuid.UUID {
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id, err := _q.FirstID(ctx)
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if err != nil && !IsNotFound(err) {
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panic(err)
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}
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return id
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}
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// Only returns a single ChampPersonnalise entity found by the query, ensuring it only returns one.
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// Returns a *NotSingularError when more than one ChampPersonnalise entity is found.
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// Returns a *NotFoundError when no ChampPersonnalise entities are found.
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func (_q *ChampPersonnaliseQuery) Only(ctx context.Context) (*ChampPersonnalise, error) {
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nodes, err := _q.Limit(2).All(setContextOp(ctx, _q.ctx, ent.OpQueryOnly))
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if err != nil {
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return nil, err
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}
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switch len(nodes) {
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case 1:
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return nodes[0], nil
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case 0:
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return nil, &NotFoundError{champpersonnalise.Label}
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default:
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return nil, &NotSingularError{champpersonnalise.Label}
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}
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}
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// OnlyX is like Only, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) OnlyX(ctx context.Context) *ChampPersonnalise {
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node, err := _q.Only(ctx)
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if err != nil {
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panic(err)
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}
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return node
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}
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// OnlyID is like Only, but returns the only ChampPersonnalise ID in the query.
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// Returns a *NotSingularError when more than one ChampPersonnalise ID is found.
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// Returns a *NotFoundError when no entities are found.
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func (_q *ChampPersonnaliseQuery) OnlyID(ctx context.Context) (id uuid.UUID, err error) {
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var ids []uuid.UUID
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if ids, err = _q.Limit(2).IDs(setContextOp(ctx, _q.ctx, ent.OpQueryOnlyID)); err != nil {
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return
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}
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switch len(ids) {
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case 1:
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id = ids[0]
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case 0:
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err = &NotFoundError{champpersonnalise.Label}
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default:
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err = &NotSingularError{champpersonnalise.Label}
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}
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return
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}
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// OnlyIDX is like OnlyID, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) OnlyIDX(ctx context.Context) uuid.UUID {
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id, err := _q.OnlyID(ctx)
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if err != nil {
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panic(err)
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}
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return id
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}
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// All executes the query and returns a list of ChampPersonnalises.
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func (_q *ChampPersonnaliseQuery) All(ctx context.Context) ([]*ChampPersonnalise, error) {
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ctx = setContextOp(ctx, _q.ctx, ent.OpQueryAll)
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if err := _q.prepareQuery(ctx); err != nil {
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return nil, err
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}
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qr := querierAll[[]*ChampPersonnalise, *ChampPersonnaliseQuery]()
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return withInterceptors[[]*ChampPersonnalise](ctx, _q, qr, _q.inters)
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}
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// AllX is like All, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) AllX(ctx context.Context) []*ChampPersonnalise {
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nodes, err := _q.All(ctx)
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if err != nil {
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panic(err)
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}
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return nodes
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}
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// IDs executes the query and returns a list of ChampPersonnalise IDs.
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func (_q *ChampPersonnaliseQuery) IDs(ctx context.Context) (ids []uuid.UUID, err error) {
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if _q.ctx.Unique == nil && _q.path != nil {
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_q.Unique(true)
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}
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ctx = setContextOp(ctx, _q.ctx, ent.OpQueryIDs)
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if err = _q.Select(champpersonnalise.FieldID).Scan(ctx, &ids); err != nil {
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return nil, err
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}
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return ids, nil
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}
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// IDsX is like IDs, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) IDsX(ctx context.Context) []uuid.UUID {
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ids, err := _q.IDs(ctx)
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if err != nil {
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panic(err)
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}
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return ids
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}
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// Count returns the count of the given query.
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func (_q *ChampPersonnaliseQuery) Count(ctx context.Context) (int, error) {
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ctx = setContextOp(ctx, _q.ctx, ent.OpQueryCount)
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if err := _q.prepareQuery(ctx); err != nil {
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return 0, err
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}
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return withInterceptors[int](ctx, _q, querierCount[*ChampPersonnaliseQuery](), _q.inters)
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}
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// CountX is like Count, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) CountX(ctx context.Context) int {
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count, err := _q.Count(ctx)
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if err != nil {
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panic(err)
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}
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return count
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}
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// Exist returns true if the query has elements in the graph.
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func (_q *ChampPersonnaliseQuery) Exist(ctx context.Context) (bool, error) {
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ctx = setContextOp(ctx, _q.ctx, ent.OpQueryExist)
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switch _, err := _q.FirstID(ctx); {
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case IsNotFound(err):
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return false, nil
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case err != nil:
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return false, fmt.Errorf("ent: check existence: %w", err)
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default:
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return true, nil
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}
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}
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// ExistX is like Exist, but panics if an error occurs.
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func (_q *ChampPersonnaliseQuery) ExistX(ctx context.Context) bool {
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exist, err := _q.Exist(ctx)
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if err != nil {
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panic(err)
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}
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return exist
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}
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// Clone returns a duplicate of the ChampPersonnaliseQuery builder, including all associated steps. It can be
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// used to prepare common query builders and use them differently after the clone is made.
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func (_q *ChampPersonnaliseQuery) Clone() *ChampPersonnaliseQuery {
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if _q == nil {
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return nil
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}
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return &ChampPersonnaliseQuery{
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config: _q.config,
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ctx: _q.ctx.Clone(),
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order: append([]champpersonnalise.OrderOption{}, _q.order...),
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inters: append([]Interceptor{}, _q.inters...),
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predicates: append([]predicate.ChampPersonnalise{}, _q.predicates...),
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withObjet: _q.withObjet.Clone(),
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// clone intermediate query.
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sql: _q.sql.Clone(),
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path: _q.path,
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}
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}
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// WithObjet tells the query-builder to eager-load the nodes that are connected to
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// the "objet" edge. The optional arguments are used to configure the query builder of the edge.
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func (_q *ChampPersonnaliseQuery) WithObjet(opts ...func(*ObjetQuery)) *ChampPersonnaliseQuery {
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query := (&ObjetClient{config: _q.config}).Query()
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for _, opt := range opts {
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opt(query)
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}
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_q.withObjet = query
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return _q
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}
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// GroupBy is used to group vertices by one or more fields/columns.
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// It is often used with aggregate functions, like: count, max, mean, min, sum.
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//
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// Example:
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//
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// var v []struct {
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// ObjetID uuid.UUID `json:"objet_id,omitempty"`
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// Count int `json:"count,omitempty"`
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// }
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//
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// client.ChampPersonnalise.Query().
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// GroupBy(champpersonnalise.FieldObjetID).
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// Aggregate(ent.Count()).
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// Scan(ctx, &v)
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func (_q *ChampPersonnaliseQuery) GroupBy(field string, fields ...string) *ChampPersonnaliseGroupBy {
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_q.ctx.Fields = append([]string{field}, fields...)
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grbuild := &ChampPersonnaliseGroupBy{build: _q}
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grbuild.flds = &_q.ctx.Fields
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grbuild.label = champpersonnalise.Label
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grbuild.scan = grbuild.Scan
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return grbuild
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}
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// Select allows the selection one or more fields/columns for the given query,
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// instead of selecting all fields in the entity.
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//
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// Example:
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//
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// var v []struct {
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// ObjetID uuid.UUID `json:"objet_id,omitempty"`
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// }
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//
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// client.ChampPersonnalise.Query().
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// Select(champpersonnalise.FieldObjetID).
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// Scan(ctx, &v)
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func (_q *ChampPersonnaliseQuery) Select(fields ...string) *ChampPersonnaliseSelect {
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_q.ctx.Fields = append(_q.ctx.Fields, fields...)
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sbuild := &ChampPersonnaliseSelect{ChampPersonnaliseQuery: _q}
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sbuild.label = champpersonnalise.Label
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sbuild.flds, sbuild.scan = &_q.ctx.Fields, sbuild.Scan
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return sbuild
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}
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// Aggregate returns a ChampPersonnaliseSelect configured with the given aggregations.
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func (_q *ChampPersonnaliseQuery) Aggregate(fns ...AggregateFunc) *ChampPersonnaliseSelect {
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return _q.Select().Aggregate(fns...)
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}
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func (_q *ChampPersonnaliseQuery) prepareQuery(ctx context.Context) error {
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for _, inter := range _q.inters {
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if inter == nil {
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return fmt.Errorf("ent: uninitialized interceptor (forgotten import ent/runtime?)")
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}
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if trv, ok := inter.(Traverser); ok {
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if err := trv.Traverse(ctx, _q); err != nil {
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return err
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}
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}
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}
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for _, f := range _q.ctx.Fields {
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if !champpersonnalise.ValidColumn(f) {
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return &ValidationError{Name: f, err: fmt.Errorf("ent: invalid field %q for query", f)}
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}
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}
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if _q.path != nil {
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prev, err := _q.path(ctx)
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if err != nil {
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return err
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}
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_q.sql = prev
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}
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return nil
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}
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func (_q *ChampPersonnaliseQuery) sqlAll(ctx context.Context, hooks ...queryHook) ([]*ChampPersonnalise, error) {
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var (
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nodes = []*ChampPersonnalise{}
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_spec = _q.querySpec()
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loadedTypes = [1]bool{
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_q.withObjet != nil,
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}
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)
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_spec.ScanValues = func(columns []string) ([]any, error) {
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return (*ChampPersonnalise).scanValues(nil, columns)
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}
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_spec.Assign = func(columns []string, values []any) error {
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node := &ChampPersonnalise{config: _q.config}
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nodes = append(nodes, node)
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node.Edges.loadedTypes = loadedTypes
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return node.assignValues(columns, values)
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}
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for i := range hooks {
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hooks[i](ctx, _spec)
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}
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if err := sqlgraph.QueryNodes(ctx, _q.driver, _spec); err != nil {
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return nil, err
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}
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if len(nodes) == 0 {
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return nodes, nil
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}
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if query := _q.withObjet; query != nil {
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if err := _q.loadObjet(ctx, query, nodes, nil,
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func(n *ChampPersonnalise, e *Objet) { n.Edges.Objet = e }); err != nil {
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return nil, err
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}
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}
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return nodes, nil
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}
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func (_q *ChampPersonnaliseQuery) loadObjet(ctx context.Context, query *ObjetQuery, nodes []*ChampPersonnalise, init func(*ChampPersonnalise), assign func(*ChampPersonnalise, *Objet)) error {
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ids := make([]uuid.UUID, 0, len(nodes))
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nodeids := make(map[uuid.UUID][]*ChampPersonnalise)
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for i := range nodes {
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fk := nodes[i].ObjetID
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if _, ok := nodeids[fk]; !ok {
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ids = append(ids, fk)
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}
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nodeids[fk] = append(nodeids[fk], nodes[i])
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}
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if len(ids) == 0 {
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return nil
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}
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query.Where(objet.IDIn(ids...))
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neighbors, err := query.All(ctx)
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if err != nil {
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return err
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}
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for _, n := range neighbors {
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nodes, ok := nodeids[n.ID]
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if !ok {
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return fmt.Errorf(`unexpected foreign-key "objet_id" returned %v`, n.ID)
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}
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for i := range nodes {
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assign(nodes[i], n)
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}
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}
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return nil
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}
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func (_q *ChampPersonnaliseQuery) sqlCount(ctx context.Context) (int, error) {
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_spec := _q.querySpec()
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_spec.Node.Columns = _q.ctx.Fields
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if len(_q.ctx.Fields) > 0 {
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_spec.Unique = _q.ctx.Unique != nil && *_q.ctx.Unique
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}
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return sqlgraph.CountNodes(ctx, _q.driver, _spec)
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}
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func (_q *ChampPersonnaliseQuery) querySpec() *sqlgraph.QuerySpec {
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_spec := sqlgraph.NewQuerySpec(champpersonnalise.Table, champpersonnalise.Columns, sqlgraph.NewFieldSpec(champpersonnalise.FieldID, field.TypeUUID))
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_spec.From = _q.sql
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if unique := _q.ctx.Unique; unique != nil {
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_spec.Unique = *unique
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} else if _q.path != nil {
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_spec.Unique = true
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}
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if fields := _q.ctx.Fields; len(fields) > 0 {
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_spec.Node.Columns = make([]string, 0, len(fields))
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_spec.Node.Columns = append(_spec.Node.Columns, champpersonnalise.FieldID)
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for i := range fields {
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if fields[i] != champpersonnalise.FieldID {
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_spec.Node.Columns = append(_spec.Node.Columns, fields[i])
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}
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}
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if _q.withObjet != nil {
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_spec.Node.AddColumnOnce(champpersonnalise.FieldObjetID)
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}
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}
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if ps := _q.predicates; len(ps) > 0 {
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_spec.Predicate = func(selector *sql.Selector) {
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for i := range ps {
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ps[i](selector)
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}
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}
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}
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if limit := _q.ctx.Limit; limit != nil {
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_spec.Limit = *limit
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}
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if offset := _q.ctx.Offset; offset != nil {
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_spec.Offset = *offset
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}
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if ps := _q.order; len(ps) > 0 {
|
|
_spec.Order = func(selector *sql.Selector) {
|
|
for i := range ps {
|
|
ps[i](selector)
|
|
}
|
|
}
|
|
}
|
|
return _spec
|
|
}
|
|
|
|
func (_q *ChampPersonnaliseQuery) sqlQuery(ctx context.Context) *sql.Selector {
|
|
builder := sql.Dialect(_q.driver.Dialect())
|
|
t1 := builder.Table(champpersonnalise.Table)
|
|
columns := _q.ctx.Fields
|
|
if len(columns) == 0 {
|
|
columns = champpersonnalise.Columns
|
|
}
|
|
selector := builder.Select(t1.Columns(columns...)...).From(t1)
|
|
if _q.sql != nil {
|
|
selector = _q.sql
|
|
selector.Select(selector.Columns(columns...)...)
|
|
}
|
|
if _q.ctx.Unique != nil && *_q.ctx.Unique {
|
|
selector.Distinct()
|
|
}
|
|
for _, p := range _q.predicates {
|
|
p(selector)
|
|
}
|
|
for _, p := range _q.order {
|
|
p(selector)
|
|
}
|
|
if offset := _q.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 := _q.ctx.Limit; limit != nil {
|
|
selector.Limit(*limit)
|
|
}
|
|
return selector
|
|
}
|
|
|
|
// ChampPersonnaliseGroupBy is the group-by builder for ChampPersonnalise entities.
|
|
type ChampPersonnaliseGroupBy struct {
|
|
selector
|
|
build *ChampPersonnaliseQuery
|
|
}
|
|
|
|
// Aggregate adds the given aggregation functions to the group-by query.
|
|
func (_g *ChampPersonnaliseGroupBy) Aggregate(fns ...AggregateFunc) *ChampPersonnaliseGroupBy {
|
|
_g.fns = append(_g.fns, fns...)
|
|
return _g
|
|
}
|
|
|
|
// Scan applies the selector query and scans the result into the given value.
|
|
func (_g *ChampPersonnaliseGroupBy) Scan(ctx context.Context, v any) error {
|
|
ctx = setContextOp(ctx, _g.build.ctx, ent.OpQueryGroupBy)
|
|
if err := _g.build.prepareQuery(ctx); err != nil {
|
|
return err
|
|
}
|
|
return scanWithInterceptors[*ChampPersonnaliseQuery, *ChampPersonnaliseGroupBy](ctx, _g.build, _g, _g.build.inters, v)
|
|
}
|
|
|
|
func (_g *ChampPersonnaliseGroupBy) sqlScan(ctx context.Context, root *ChampPersonnaliseQuery, v any) error {
|
|
selector := root.sqlQuery(ctx).Select()
|
|
aggregation := make([]string, 0, len(_g.fns))
|
|
for _, fn := range _g.fns {
|
|
aggregation = append(aggregation, fn(selector))
|
|
}
|
|
if len(selector.SelectedColumns()) == 0 {
|
|
columns := make([]string, 0, len(*_g.flds)+len(_g.fns))
|
|
for _, f := range *_g.flds {
|
|
columns = append(columns, selector.C(f))
|
|
}
|
|
columns = append(columns, aggregation...)
|
|
selector.Select(columns...)
|
|
}
|
|
selector.GroupBy(selector.Columns(*_g.flds...)...)
|
|
if err := selector.Err(); err != nil {
|
|
return err
|
|
}
|
|
rows := &sql.Rows{}
|
|
query, args := selector.Query()
|
|
if err := _g.build.driver.Query(ctx, query, args, rows); err != nil {
|
|
return err
|
|
}
|
|
defer rows.Close()
|
|
return sql.ScanSlice(rows, v)
|
|
}
|
|
|
|
// ChampPersonnaliseSelect is the builder for selecting fields of ChampPersonnalise entities.
|
|
type ChampPersonnaliseSelect struct {
|
|
*ChampPersonnaliseQuery
|
|
selector
|
|
}
|
|
|
|
// Aggregate adds the given aggregation functions to the selector query.
|
|
func (_s *ChampPersonnaliseSelect) Aggregate(fns ...AggregateFunc) *ChampPersonnaliseSelect {
|
|
_s.fns = append(_s.fns, fns...)
|
|
return _s
|
|
}
|
|
|
|
// Scan applies the selector query and scans the result into the given value.
|
|
func (_s *ChampPersonnaliseSelect) Scan(ctx context.Context, v any) error {
|
|
ctx = setContextOp(ctx, _s.ctx, ent.OpQuerySelect)
|
|
if err := _s.prepareQuery(ctx); err != nil {
|
|
return err
|
|
}
|
|
return scanWithInterceptors[*ChampPersonnaliseQuery, *ChampPersonnaliseSelect](ctx, _s.ChampPersonnaliseQuery, _s, _s.inters, v)
|
|
}
|
|
|
|
func (_s *ChampPersonnaliseSelect) sqlScan(ctx context.Context, root *ChampPersonnaliseQuery, v any) error {
|
|
selector := root.sqlQuery(ctx)
|
|
aggregation := make([]string, 0, len(_s.fns))
|
|
for _, fn := range _s.fns {
|
|
aggregation = append(aggregation, fn(selector))
|
|
}
|
|
switch n := len(*_s.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 := _s.driver.Query(ctx, query, args, rows); err != nil {
|
|
return err
|
|
}
|
|
defer rows.Close()
|
|
return sql.ScanSlice(rows, v)
|
|
}
|