def get_client() -> TestClient:
    return TestClient(app)


def test_query(client: TestClient):
    response = client.post("/graphql", json={"query": "{ user { name, age } }"})
    assert response.status_code == 200
    assert response.json() == {"data": {"user": {"name": "Patrick", "age": 100}}}


def test_openapi(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200

						clause.Expr{
							SQL: "? as name",
							Vars: []interface{}{
								clause.Eq{
									Column: clause.Column{Name: "age"},
									Value:  18,
								},
							},
						},
					},
				},
			}, clause.From{}},
			"SELECT `age` = ? as name FROM `users`",
			[]interface{}{18},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {

      description: |
        We can remove packages with a shared path prefix.
        For example, a request for 'github.com/author' would remove all pkg.go.dev pages with that package path prefix.
    validations:
      required: true
  - type: textarea
    id: package-owner
    attributes:
      label: "Are you the owner of this package?"
      description: |

También, el mejor enfoque era usar estándares ya existentes.

Entonces, antes de siquiera empezar a programar **FastAPI**, pasé varios meses estudiando las especificaciones de OpenAPI, JSON Schema, OAuth2, etc. Entendiendo su relación, superposición y diferencias.

## Diseño { #design }

Luego pasé algún tiempo diseñando la "API" de desarrollador que quería tener como usuario (como desarrollador usando FastAPI).

		Vars    []interface{}
	}{
		{
			[]clause.Interface{
				clause.Insert{},
				clause.Values{
					Columns: []clause.Column{{Name: "name"}, {Name: "age"}},
					Values:  [][]interface{}{{"jinzhu", 18}, {"josh", 1}},
				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},
		},
	}

	for idx, result := range results {

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, create_engine, select


class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):

from typing import Union

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, create_engine, select


class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):

package schema_test

import (
	"database/sql"
	"time"

	"gorm.io/gorm"
	"gorm.io/gorm/utils/tests"
)

type User struct {
	*gorm.Model
	Name      *string
	Age       *uint
	Birthday  *time.Time
	Account   *tests.Account
	Pets      []*tests.Pet
	Toys      []*tests.Toy `gorm:"polymorphic:Owner"`
	CompanyID *int
	Company   *tests.Company
	ManagerID *uint
	Manager   *User

Wenn die Daten jedoch nicht vorhanden sind, möchten Sie diese erstellen und den HTTP-Statuscode „CREATED“ `201` zurückgeben.

Sie möchten aber dennoch in der Lage sein, die von Ihnen zurückgegebenen Daten mit einem `response_model` zu filtern und zu konvertieren.

In diesen Fällen können Sie einen `Response`-Parameter verwenden.

	it := gcs.client.Bucket(gcs.Bucket).Objects(ctx, &storage.Query{
		Delimiter: "/",
		Prefix:    gcs.Prefix,
		Versions:  false,
	})
	pager := iterator.NewPager(it, 1, "")
	gcsObjects := make([]*storage.ObjectAttrs, 0)
	_, err := pager.NextPage(&gcsObjects)
	if err != nil {
		return false, gcsToObjectError(err, gcs.Bucket, gcs.Prefix)
	}
	if len(gcsObjects) > 0 {
		return true, nil
	}