* be registered in {@code META-INF/services/org.apache.maven.api.model.ModelObjectProcessor}.</p>
 *
 * <p>The service is called during model building for all model objects, allowing
 * implementations to decide which objects to process and how to optimize them.</p>
 *
 * @since 4.0.0
 */
public interface ModelObjectProcessor {

    /**
     * Process a model object, potentially returning a pooled or optimized version.
     *

class BodyModelOptionalListStr(BaseModel):
    p: Optional[list[str]] = None


@app.post("/model-optional-list-str", operation_id="model_optional_list_str")
async def read_model_optional_list_str(p: BodyModelOptionalListStr):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/optional-list-str", "/model-optional-list-str"],
)
def test_optional_list_str_schema(path: str):
    openapi = app.openapi()

Vamos imaginar que o carregamento do modelo pode **demorar bastante tempo**, porque ele precisa ler muitos **dados do disco**. Então você não quer fazer isso a cada requisição.

	}

	if DB.Unscoped().Model(&person).Association("Addresses").Count() != 2 {
		t.Fatalf("Should found soft deleted addresses with unscoped")
	}

	DB.Model(&person).Association("Addresses").Clear()

	if DB.Model(&person).Association("Addresses").Count() != 0 {
		t.Fatalf("Should deleted all addresses")
	}

	if DB.Unscoped().Model(&person).Association("Addresses").Count() != 2 {

    return {"p": p}


class BodyModelRequiredStr(BaseModel):
    p: str


@app.post("/model-required-str", operation_id="model_required_str")
async def read_model_required_str(p: BodyModelRequiredStr):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_schema(path: str):
    openapi = app.openapi()

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

Notice that `Field` is imported directly from `pydantic`, not from `fastapi` as are all the rest (`Query`, `Path`, `Body`, etc).

///

## Declare model attributes { #declare-model-attributes }

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.

Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.CMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} xpp3-writer Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.BMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} org.apache.maven maven-plugin-api jar 2.0 org/apache/m...

Muitos pacotes que simplificam bastante isso precisam fazer muitas concessões com o modelo de dados, o banco de dados e os recursos disponíveis. E alguns desses pacotes que simplificam demais na verdade têm falhas de segurança subjacentes.

---

O **FastAPI** não faz nenhuma concessão com nenhum banco de dados, modelo de dados ou ferramenta.

import org.apache.maven.model.InputLocation;
import org.apache.maven.model.Model;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblem.Severity;
import org.apache.maven.model.building.ModelProblem.Version;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.building.ModelProblemCollectorRequest;