import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial007_py39"),
        pytest.param("tutorial007_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body_nested_models.{request.param}")

    client = TestClient(mod.app)
    return client

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()


class ResponseModel(BaseModel):
    code: int = 200
    message: str = Field(default_factory=lambda: "Successful operation.")


@app.get(
    "/response_model_has_default_factory_return_dict",
    response_model=ResponseModel,
)
async def response_model_has_default_factory_return_dict():

import importlib
import sys

import pytest
from dirty_equals import IsAnyStr
from fastapi.testclient import TestClient
from pydantic import ValidationError
from pytest import MonkeyPatch


@pytest.fixture(
    name="mod_name",
    params=[
        pytest.param("app01_py39"),
    ],
)
def get_mod_name(request: pytest.FixtureRequest):
    return f"docs_src.settings.{request.param}.main"


@pytest.fixture(name="client")

import importlib

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=[needs_py310]),
        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=[needs_py310]),
    ],
)

import importlib

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
        pytest.param("tutorial001_an_py39"),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)

Isso permite que você use `pytest` diretamente sem complicações.

///

/// note | Detalhes Técnicos

Você também pode usar `from starlette.testclient import TestClient`.

**FastAPI** fornece o mesmo `starlette.testclient` que `fastapi.testclient` apenas como uma conveniência para você, o desenvolvedor. Mas ele vem diretamente da Starlette.

///

/// tip | Dica

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial003_py39"),
        pytest.param("tutorial003_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body.{request.param}")

    client = TestClient(mod.app)
    return client

from fastapi.security import HTTPBasic, HTTPBasicCredentials
from fastapi.testclient import TestClient

app = FastAPI()

security = HTTPBasic(realm="simple")


@app.get("/users/me")
def read_current_user(credentials: HTTPBasicCredentials = Security(security)):
    return {"username": credentials.username, "password": credentials.password}


client = TestClient(app)


def test_security_http_basic():

from fastapi.testclient import TestClient

from docs_src.additional_responses.tutorial001_py39 import app

client = TestClient(app)


def test_path_operation():
    response = client.get("/items/foo")
    assert response.status_code == 200, response.text
    assert response.json() == {"id": "foo", "value": "there goes my hero"}


def test_path_operation_not_found():
    response = client.get("/items/bar")

from fastapi.testclient import TestClient

from docs_src.handling_errors.tutorial005_py39 import app

client = TestClient(app)


def test_post_validation_error():
    response = client.post("/items/", json={"title": "towel", "size": "XL"})
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["body", "size"],