But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

///

## Dataclasses in `response_model` { #dataclasses-in-response-model }

You can also use `dataclasses` in the `response_model` parameter:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

The dataclass will be automatically converted to a Pydantic dataclass.

import org.apache.maven.execution.MavenSession;
import org.apache.maven.model.Repository;
import org.apache.maven.model.building.ModelBuildingException;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelSource;
import org.apache.maven.model.building.UrlModelSource;
import org.apache.maven.plugin.LegacySupport;
import org.apache.maven.profiles.ProfileManager;

	if err := DB.Create(&data).Error; err != nil {
		t.Errorf("Should got no error when creating data, but got %v", err)
	}

	if err := DB.Model(&data).Update("password", EncryptedData("xnewpass")).Error; err == nil {
		t.Errorf("Should failed to update data with invalid data")
	}

	if err := DB.Model(&data).Update("password", EncryptedData("newpass")).Error; err != nil {
		t.Errorf("Should got no error update data with valid data, but got %v", err)

import org.apache.maven.execution.MavenSession;
import org.apache.maven.lifecycle.Lifecycle;
import org.apache.maven.lifecycle.LifecycleMappingDelegate;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.plugin.BuildPluginManager;
import org.apache.maven.plugin.InvalidPluginDescriptorException;
import org.apache.maven.plugin.MojoExecution;

	var simpleUser2 SimpleUser
	if err := DB.Model(&User{}).Select("id").First(&simpleUser2, user.ID).Error; err != nil {
		t.Fatalf("Failed to query smaller user, got error %v", err)
	}

	AssertObjEqual(t, user, simpleUser2, "ID")

	var simpleUsers []SimpleUser
	if err := DB.Model(&User{}).Select("id").Find(&simpleUsers, user.ID).Error; err != nil || len(simpleUsers) != 1 {

- **Configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.
- **Execution**: Runs the work efficiently. This includes scheduling, execution, caching and so on.

#### Software development platform

authors:
  - family-names: Abadi
    given-names: Martín
  - family-names: Agarwal
    given-names: Ashish

            """
        ),
    ]


class HTTPBase(SecurityBase):
    model: HTTPBaseModel

    def __init__(
        self,
        *,
        scheme: str,
        scheme_name: str | None = None,
        description: str | None = None,
        auto_error: bool = True,
    ):
        self.model = HTTPBaseModel(scheme=scheme, description=description)

}

// SetupJoinTable setup join table schema
func (db *DB) SetupJoinTable(model interface{}, field string, joinTable interface{}) error {
	var (
		tx                      = db.getInstance()
		stmt                    = tx.Statement
		modelSchema, joinSchema *schema.Schema
	)

	err := stmt.Parse(model)
	if err != nil {
		return err
	}
	modelSchema = stmt.Schema

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}

If each JSON item you want to send back is of type `Item` (a Pydantic model) and it's an async function, you can declare the return type as `AsyncIterable[Item]`:

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}