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497 lines
12 KiB
Go
497 lines
12 KiB
Go
// Copyright 2019-present Facebook Inc. All rights reserved.
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// This source code is licensed under the Apache 2.0 license found
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// in the LICENSE file in the root directory of this source tree.
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// Code generated by entc, DO NOT EDIT.
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package ent
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import (
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"context"
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"math"
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"entgo.io/ent/dialect/gremlin"
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"entgo.io/ent/dialect/gremlin/graph/dsl"
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"entgo.io/ent/dialect/gremlin/graph/dsl/__"
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"entgo.io/ent/dialect/gremlin/graph/dsl/g"
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"entgo.io/ent/entc/integration/gremlin/ent/item"
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"entgo.io/ent/entc/integration/gremlin/ent/predicate"
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)
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// ItemQuery is the builder for querying Item entities.
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type ItemQuery struct {
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config
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limit *int
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offset *int
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unique *bool
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order []OrderFunc
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fields []string
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predicates []predicate.Item
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// intermediate query (i.e. traversal path).
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gremlin *dsl.Traversal
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path func(context.Context) (*dsl.Traversal, error)
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}
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// Where adds a new predicate for the ItemQuery builder.
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func (iq *ItemQuery) Where(ps ...predicate.Item) *ItemQuery {
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iq.predicates = append(iq.predicates, ps...)
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return iq
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}
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// Limit adds a limit step to the query.
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func (iq *ItemQuery) Limit(limit int) *ItemQuery {
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iq.limit = &limit
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return iq
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}
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// Offset adds an offset step to the query.
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func (iq *ItemQuery) Offset(offset int) *ItemQuery {
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iq.offset = &offset
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return iq
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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 (iq *ItemQuery) Unique(unique bool) *ItemQuery {
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iq.unique = &unique
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return iq
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}
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// Order adds an order step to the query.
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func (iq *ItemQuery) Order(o ...OrderFunc) *ItemQuery {
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iq.order = append(iq.order, o...)
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return iq
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}
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// First returns the first Item entity from the query.
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// Returns a *NotFoundError when no Item was found.
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func (iq *ItemQuery) First(ctx context.Context) (*Item, error) {
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nodes, err := iq.Limit(1).All(ctx)
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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{item.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 (iq *ItemQuery) FirstX(ctx context.Context) *Item {
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node, err := iq.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 Item ID from the query.
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// Returns a *NotFoundError when no Item ID was found.
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func (iq *ItemQuery) FirstID(ctx context.Context) (id string, err error) {
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var ids []string
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if ids, err = iq.Limit(1).IDs(ctx); 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{item.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 (iq *ItemQuery) FirstIDX(ctx context.Context) string {
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id, err := iq.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 Item entity found by the query, ensuring it only returns one.
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// Returns a *NotSingularError when more than one Item entity is found.
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// Returns a *NotFoundError when no Item entities are found.
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func (iq *ItemQuery) Only(ctx context.Context) (*Item, error) {
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nodes, err := iq.Limit(2).All(ctx)
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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{item.Label}
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default:
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return nil, &NotSingularError{item.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 (iq *ItemQuery) OnlyX(ctx context.Context) *Item {
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node, err := iq.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 Item ID in the query.
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// Returns a *NotSingularError when more than one Item ID is found.
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// Returns a *NotFoundError when no entities are found.
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func (iq *ItemQuery) OnlyID(ctx context.Context) (id string, err error) {
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var ids []string
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if ids, err = iq.Limit(2).IDs(ctx); 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{item.Label}
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default:
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err = &NotSingularError{item.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 (iq *ItemQuery) OnlyIDX(ctx context.Context) string {
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id, err := iq.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 Items.
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func (iq *ItemQuery) All(ctx context.Context) ([]*Item, error) {
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if err := iq.prepareQuery(ctx); err != nil {
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return nil, err
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}
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return iq.gremlinAll(ctx)
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}
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// AllX is like All, but panics if an error occurs.
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func (iq *ItemQuery) AllX(ctx context.Context) []*Item {
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nodes, err := iq.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 Item IDs.
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func (iq *ItemQuery) IDs(ctx context.Context) ([]string, error) {
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var ids []string
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if err := iq.Select(item.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 (iq *ItemQuery) IDsX(ctx context.Context) []string {
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ids, err := iq.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 (iq *ItemQuery) Count(ctx context.Context) (int, error) {
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if err := iq.prepareQuery(ctx); err != nil {
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return 0, err
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}
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return iq.gremlinCount(ctx)
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}
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// CountX is like Count, but panics if an error occurs.
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func (iq *ItemQuery) CountX(ctx context.Context) int {
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count, err := iq.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 (iq *ItemQuery) Exist(ctx context.Context) (bool, error) {
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if err := iq.prepareQuery(ctx); err != nil {
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return false, err
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}
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return iq.gremlinExist(ctx)
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}
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// ExistX is like Exist, but panics if an error occurs.
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func (iq *ItemQuery) ExistX(ctx context.Context) bool {
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exist, err := iq.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 ItemQuery 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 (iq *ItemQuery) Clone() *ItemQuery {
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if iq == nil {
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return nil
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}
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return &ItemQuery{
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config: iq.config,
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limit: iq.limit,
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offset: iq.offset,
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order: append([]OrderFunc{}, iq.order...),
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predicates: append([]predicate.Item{}, iq.predicates...),
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// clone intermediate query.
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gremlin: iq.gremlin.Clone(),
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path: iq.path,
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unique: iq.unique,
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}
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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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// Text string `json:"text,omitempty"`
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// Count int `json:"count,omitempty"`
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// }
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//
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// client.Item.Query().
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// GroupBy(item.FieldText).
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// Aggregate(ent.Count()).
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// Scan(ctx, &v)
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//
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func (iq *ItemQuery) GroupBy(field string, fields ...string) *ItemGroupBy {
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grbuild := &ItemGroupBy{config: iq.config}
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grbuild.fields = append([]string{field}, fields...)
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grbuild.path = func(ctx context.Context) (prev *dsl.Traversal, err error) {
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if err := iq.prepareQuery(ctx); err != nil {
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return nil, err
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}
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return iq.gremlinQuery(ctx), nil
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}
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grbuild.label = item.Label
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grbuild.flds, grbuild.scan = &grbuild.fields, 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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// Text string `json:"text,omitempty"`
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// }
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//
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// client.Item.Query().
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// Select(item.FieldText).
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// Scan(ctx, &v)
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//
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func (iq *ItemQuery) Select(fields ...string) *ItemSelect {
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iq.fields = append(iq.fields, fields...)
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selbuild := &ItemSelect{ItemQuery: iq}
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selbuild.label = item.Label
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selbuild.flds, selbuild.scan = &iq.fields, selbuild.Scan
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return selbuild
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}
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func (iq *ItemQuery) prepareQuery(ctx context.Context) error {
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if iq.path != nil {
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prev, err := iq.path(ctx)
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if err != nil {
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return err
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}
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iq.gremlin = prev
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}
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return nil
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}
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func (iq *ItemQuery) gremlinAll(ctx context.Context) ([]*Item, error) {
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res := &gremlin.Response{}
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traversal := iq.gremlinQuery(ctx)
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if len(iq.fields) > 0 {
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fields := make([]interface{}, len(iq.fields))
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for i, f := range iq.fields {
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fields[i] = f
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}
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traversal.ValueMap(fields...)
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} else {
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traversal.ValueMap(true)
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}
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query, bindings := traversal.Query()
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if err := iq.driver.Exec(ctx, query, bindings, res); err != nil {
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return nil, err
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}
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var is Items
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if err := is.FromResponse(res); err != nil {
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return nil, err
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}
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is.config(iq.config)
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return is, nil
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}
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func (iq *ItemQuery) gremlinCount(ctx context.Context) (int, error) {
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res := &gremlin.Response{}
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query, bindings := iq.gremlinQuery(ctx).Count().Query()
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if err := iq.driver.Exec(ctx, query, bindings, res); err != nil {
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return 0, err
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}
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return res.ReadInt()
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}
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func (iq *ItemQuery) gremlinExist(ctx context.Context) (bool, error) {
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res := &gremlin.Response{}
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query, bindings := iq.gremlinQuery(ctx).HasNext().Query()
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if err := iq.driver.Exec(ctx, query, bindings, res); err != nil {
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return false, err
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}
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return res.ReadBool()
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}
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func (iq *ItemQuery) gremlinQuery(context.Context) *dsl.Traversal {
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v := g.V().HasLabel(item.Label)
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if iq.gremlin != nil {
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v = iq.gremlin.Clone()
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}
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for _, p := range iq.predicates {
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p(v)
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}
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if len(iq.order) > 0 {
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v.Order()
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for _, p := range iq.order {
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p(v)
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}
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}
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switch limit, offset := iq.limit, iq.offset; {
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case limit != nil && offset != nil:
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v.Range(*offset, *offset+*limit)
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case offset != nil:
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v.Range(*offset, math.MaxInt32)
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case limit != nil:
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v.Limit(*limit)
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}
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if unique := iq.unique; unique == nil || *unique {
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v.Dedup()
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}
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return v
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}
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// ItemGroupBy is the group-by builder for Item entities.
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type ItemGroupBy struct {
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config
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selector
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fields []string
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fns []AggregateFunc
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// intermediate query (i.e. traversal path).
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gremlin *dsl.Traversal
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path func(context.Context) (*dsl.Traversal, error)
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}
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// Aggregate adds the given aggregation functions to the group-by query.
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func (igb *ItemGroupBy) Aggregate(fns ...AggregateFunc) *ItemGroupBy {
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igb.fns = append(igb.fns, fns...)
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return igb
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}
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// Scan applies the group-by query and scans the result into the given value.
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func (igb *ItemGroupBy) Scan(ctx context.Context, v interface{}) error {
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query, err := igb.path(ctx)
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if err != nil {
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return err
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}
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igb.gremlin = query
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return igb.gremlinScan(ctx, v)
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}
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func (igb *ItemGroupBy) gremlinScan(ctx context.Context, v interface{}) error {
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res := &gremlin.Response{}
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query, bindings := igb.gremlinQuery().Query()
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if err := igb.driver.Exec(ctx, query, bindings, res); err != nil {
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return err
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}
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if len(igb.fields)+len(igb.fns) == 1 {
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return res.ReadVal(v)
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}
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vm, err := res.ReadValueMap()
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if err != nil {
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return err
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}
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return vm.Decode(v)
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}
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func (igb *ItemGroupBy) gremlinQuery() *dsl.Traversal {
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var (
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trs []interface{}
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names []interface{}
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)
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for _, fn := range igb.fns {
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name, tr := fn("p", "")
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trs = append(trs, tr)
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names = append(names, name)
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}
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for _, f := range igb.fields {
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names = append(names, f)
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trs = append(trs, __.As("p").Unfold().Values(f).As(f))
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}
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return igb.gremlin.Group().
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By(__.Values(igb.fields...).Fold()).
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By(__.Fold().Match(trs...).Select(names...)).
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Select(dsl.Values).
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Next()
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}
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// ItemSelect is the builder for selecting fields of Item entities.
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type ItemSelect struct {
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*ItemQuery
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selector
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// intermediate query (i.e. traversal path).
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gremlin *dsl.Traversal
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}
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// Scan applies the selector query and scans the result into the given value.
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func (is *ItemSelect) Scan(ctx context.Context, v interface{}) error {
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if err := is.prepareQuery(ctx); err != nil {
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return err
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}
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is.gremlin = is.ItemQuery.gremlinQuery(ctx)
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return is.gremlinScan(ctx, v)
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}
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func (is *ItemSelect) gremlinScan(ctx context.Context, v interface{}) error {
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var (
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traversal *dsl.Traversal
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res = &gremlin.Response{}
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)
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if len(is.fields) == 1 {
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if is.fields[0] != item.FieldID {
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traversal = is.gremlin.Values(is.fields...)
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} else {
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traversal = is.gremlin.ID()
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}
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} else {
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fields := make([]interface{}, len(is.fields))
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for i, f := range is.fields {
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fields[i] = f
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}
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traversal = is.gremlin.ValueMap(fields...)
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}
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query, bindings := traversal.Query()
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if err := is.driver.Exec(ctx, query, bindings, res); err != nil {
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return err
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}
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if len(is.fields) == 1 {
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return res.ReadVal(v)
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}
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vm, err := res.ReadValueMap()
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if err != nil {
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return err
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}
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return vm.Decode(v)
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}
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