# Sub Aplicações - Montagens

Se você precisar ter duas aplicações FastAPI independentes, cada uma com seu próprio OpenAPI e suas próprias interfaces de documentação, você pode ter um aplicativo principal e "montar" uma (ou mais) sub-aplicações.

## Montando uma aplicação **FastAPI**

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial012_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_get_no_headers_items(client: TestClient):
    response = client.get("/items/")

    get_compat_model_name_map,
    get_definitions,
    get_schema_from_model_field,
    lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder
from fastapi.dependencies.models import Dependant
from fastapi.dependencies.utils import (
    _get_flat_fields_from_params,
    get_flat_dependant,
    get_flat_params,
)
from fastapi.encoders import jsonable_encoder

    serialize_sequence_value,
    value_is_sequence,
)
from fastapi.background import BackgroundTasks
from fastapi.concurrency import (
    asynccontextmanager,
    contextmanager_in_threadpool,
)
from fastapi.dependencies.models import Dependant, SecurityRequirement
from fastapi.logger import logger
from fastapi.security.base import SecurityBase
from fastapi.security.oauth2 import OAuth2, SecurityScopes

# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,

    It takes a single "dependable" callable (like a function).

    Don't call it directly, FastAPI will call it for you.

    Read more about it in the
    [FastAPI docs for Dependencies](https://fastapi.tiangolo.com/tutorial/dependencies/).

    **Example**

    ```python
    from typing import Annotated

    from fastapi import Depends, FastAPI

    app = FastAPI()

### 1. Prerequisites

Install MinIO - [MinIO Quickstart Guide](https://min.io/docs/minio/linux/index.html#quickstart-for-linux).

### 2. Run MinIO in federated mode

Bucket lookup from DNS federation requires two dependencies

- etcd (for bucket DNS service records)
- CoreDNS (for DNS management based on populated bucket DNS service records, optional)

## Architecture

# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,

from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.dependencies.tutorial012_an import app

client = TestClient(app)


def test_get_no_headers_items():
    response = client.get("/items/")
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",

This is a simple guide to get you started and teach you how everything works **underneath**.

There are many **alternatives** to managing virtual environments, package dependencies (requirements), projects.

Once you are ready and want to use a tool to **manage the entire project**, packages dependencies, virtual environments, etc. I would suggest you try <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">uv</a>.