Files
ent/entc/integration/gremlin/ent/item_query.go

497 lines
12 KiB
Go

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