### `Query` und `Annotated` importieren

Importieren Sie zuerst:

* `Query` von `fastapi`
* `Annotated` von `typing` (oder von `typing_extensions` in Python unter 3.9)

//// tab | Python 3.10+

In Python 3.9 oder darüber, ist `Annotated` Teil der Standardbibliothek, also können Sie es von `typing` importieren.

```Python hl_lines="1  3"
{!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
```

from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union

from fastapi._compat import (
    PYDANTIC_V2,
    CoreSchema,
    GetJsonSchemaHandler,
    JsonSchemaValue,
    _model_rebuild,
    with_info_plain_validator_function,
)
from fastapi.logger import logger
from pydantic import AnyUrl, BaseModel, Field
from typing_extensions import Annotated, Literal, TypedDict

import logging
import subprocess
import sys
from collections import Counter, defaultdict
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Container, DefaultDict, Dict, List, Set, Union

import httpx
import yaml
from github import Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings

github_graphql_url = "https://api.github.com/graphql"

    --hash=sha256:3afb05607b89aed0ffe25202399ee0867ad4d3cb4180d98aaf8eefa6a5f7d475 \
    --hash=sha256:b5b08f68937f138fe92f6c089b99f1e2da0ae56c52b78bf7075fd95420fd9a5a
    # via -r ci/official/requirements_updater/requirements.in
typing-extensions==4.8.0 \
    --hash=sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0 \
    --hash=sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef

We annotate the function return type as `BaseUser`, but we are actually returning a `UserIn` instance.

The editor, mypy, and other tools won't complain about this because, in typing terms, `UserIn` is a subclass of `BaseUser`, which means it's a *valid* type when what is expected is anything that is a `BaseUser`.

### FastAPI Data Filtering

import warnings
from typing import List

from fastapi import APIRouter, FastAPI
from fastapi.routing import APIRoute
from fastapi.testclient import TestClient
from pydantic import BaseModel


def custom_generate_unique_id(route: APIRoute):
    return f"foo_{route.name}"


def custom_generate_unique_id2(route: APIRoute):
    return f"bar_{route.name}"


def custom_generate_unique_id3(route: APIRoute):

Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_112)
Type in expressions to have them evaluated.
Type :help for more information.

scala>
```

- At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:

```
scala> val file = sc.textFile("s3a://testbucket/testdata")

import http.client
import inspect
import warnings
from typing import Any, Dict, List, Optional, Sequence, Set, Tuple, Type, Union, cast

from fastapi import routing
from fastapi._compat import (
    GenerateJsonSchema,
    JsonSchemaValue,
    ModelField,
    Undefined,
    get_compat_model_name_map,
    get_definitions,
    get_schema_from_model_field,
    lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder

    * Pydantic 데이터 구조는 단순 여러분이 정의한 클래스의 인스턴스이기 때문에, 자동 완성, 린팅, mypy 그리고 여러분의 직관까지 여러분의 검증된 데이터와 올바르게 작동합니다.
* **복잡한 구조**를 검증합니다:
    * 계층적인 Pydantic 모델, 파이썬 `typing`의 `List`와 `Dict`, 그 외를 사용합니다.
    * 그리고 검증자는 복잡한 데이터 스키마를 명확하고 쉽게 정의 및 확인하며 JSON 스키마로 문서화합니다.
    * 여러분은 깊게 **중첩된 JSON** 객체를 가질 수 있으며, 이 객체 모두 검증하고 설명을 붙일 수 있습니다.
* **확장 가능성**:

Ben bu önceki araçlardan öğrendiklerime dayanarak **FastAPI**'ın özelliklerini arttırıp geliştiriyor, <abbr title="Tip desteği (typing support): kod yapısında parametrelere, argümanlara ve objelerin özelliklerine veri tipi atamak">tip desteği</abbr> sistemi ve diğer kısımları iyileştiriyorum ancak yine de **FastAPI**'ı APIStar'ın "ruhani varisi" olarak görüyorum.

///