type User struct {
		ID        int32 `gorm:"primaryKey"`
		Name      string
		CreatorID *int32
		Creator   *User
	}

	checkStructRelation(t, &User{}, Relation{
		Name: "Creator", Type: schema.BelongsTo, Schema: "User", FieldSchema: "User",
		References: []Reference{{"ID", "User", "CreatorID", "User", "", false}},
	})
}

func TestSelfReferentialBelongsToOverrideReferences(t *testing.T) {
	type User struct {

			if _, ok := cleanQ.Users[user]; !ok {
				cleanQ.Users[user] = nil
			}
		}

		// Validate and normalize groups.
		for _, group := range q.Groups {
			lookupRes, underDN, _ := sys.LDAPConfig.GetValidatedGroupDN(nil, group)
			if lookupRes != nil && underDN {
				cleanQ.Groups.Add(lookupRes.NormDN)
			}
		}
	} else {
		for _, user := range q.Users {
			info, err := sys.store.GetUserInfo(user)

# OpenAPI Webhooks { #openapi-webhooks }

There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**.

This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).

This is normally called a **webhook**.

			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",
			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",
			"INSERT INTO `users` (`created_at`,`updated_at`,`deleted_at`,`name`,`age`,`birthday`,`company_id`,`manager_id`,`active`) VALUES (?,?,?,?,?,?,?,?,?)",
			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",

 */
package org.codelibs.fess.opensearch.user.cbean.ca.bs;

import org.codelibs.fess.opensearch.user.allcommon.EsAbstractConditionAggregation;
import org.codelibs.fess.opensearch.user.allcommon.EsAbstractConditionQuery;
import org.codelibs.fess.opensearch.user.cbean.ca.UserCA;
import org.codelibs.fess.opensearch.user.cbean.cq.UserCQ;
import org.codelibs.fess.opensearch.user.cbean.cq.bs.BsUserCQ;

				},
			},
			sql: "INNER JOIN `user` USING (`id`)",
		},
	}
	for _, result := range results {
		t.Run(result.name, func(t *testing.T) {
			user, _ := schema.Parse(&tests.User{}, &sync.Map{}, db.NamingStrategy)
			stmt := &gorm.Statement{DB: db, Table: user.Table, Schema: user, Clauses: map[string]clause.Clause{}}
			result.join.Build(stmt)
			if result.sql != stmt.SQL.String() {

///

### About `**user_in.dict()` { #about-user-in-dict }

#### Pydantic's `.dict()` { #pydantics-dict }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

Shinsuke Sugaya <******@****.***> 1638450896 +0900

			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? OR `name` <> ? AND `age` > ?",
			[]interface{}{"1", "jinzhu", 18},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Where{
				Exprs: []clause.Expression{clause.Or(clause.Eq{Column: clause.PrimaryColumn, Value: "1"}), clause.Or(clause.Neq{Column: "name", Value: "jinzhu"})},
			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? OR `name` <> ?",

		t.Fatalf("errors happened when create: %v", err)
	}

	CheckUser(t, user, user)

	// Find
	var user2 User
	DB.Find(&user2, "id = ?", user.ID)
	DB.Model(&user2).Association("Team").Find(&user2.Team)
	CheckUser(t, user2, user)

	// Count
	AssertAssociationCount(t, user, "Team", 2, "")

	// Append
	team := *GetUser("team", Config{})