from fastapi.testclient import TestClient

from docs_src.response_change_status_code.tutorial001 import app

client = TestClient(app)


def test_path_operation():
    response = client.put("/get-or-create-task/foo")
    print(response.content)
    assert response.status_code == 200, response.text
    assert response.json() == "Listen to the Bar Fighters"
    response = client.put("/get-or-create-task/bar")

                    "properties": {"alias": {"title": "Alias", "type": "string"}},
                },
                "ModelNoAlias": {
                    "title": "ModelNoAlias",
                    "required": ["name"],
                    "type": "object",
                    "properties": {"name": {"title": "Name", "type": "string"}},

    return "supersecret" + raw_password


def fake_save_user(user_in: UserIn):
    hashed_password = fake_password_hasher(user_in.password)
    user_in_db = UserInDB(**user_in.dict(), hashed_password=hashed_password)
    print("User saved! ..not really")
    return user_in_db


@app.post("/user/", response_model=UserOut)
async def create_user(user_in: UserIn):
    user_saved = fake_save_user(user_in)

Digamos que quieres devolver una respuesta <a href="https://en.wikipedia.org/wiki/XML" class="external-link" target="_blank">XML</a>.

Podrías poner tu contenido XML en un string, ponerlo en una `Response` y devolverlo:

```Python hl_lines="1  18"
{!../../../docs_src/response_directly/tutorial002.py!}
```

## Notas

from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from jose import JWTError, jwt
from passlib.context import CryptContext
from pydantic import BaseModel

# to get a string like this run:
# openssl rand -hex 32
SECRET_KEY = "09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7"
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30


fake_users_db = {
    "johndoe": {

from jose import JWTError, jwt
from passlib.context import CryptContext
from pydantic import BaseModel
from typing_extensions import Annotated

# to get a string like this run:
# openssl rand -hex 32
SECRET_KEY = "09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7"
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30


fake_users_db = {
    "johndoe": {

## 🗃 🛠️

👆 💪 ⚒ 📄 🏑 👈 ⚙️ 🗄 🔧 & 🏧 🛠️ 🩺 ⚜:

| 🔢 | 🆎 | 📛 |
|------------|------|-------------|
| `title` | `str` | 📛 🛠️. |
| `description` | `str` | 📏 📛 🛠️. ⚫️ 💪 ⚙️ ✍. |
| `version` | `string` | ⏬ 🛠️. 👉 ⏬ 👆 👍 🈸, 🚫 🗄. 🖼 `2.5.0`. |
| `terms_of_service` | `str` | 📛 ⚖ 🐕‍🦺 🛠️. 🚥 🚚, 👉 ✔️ 📛. |

!!! info
    Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

    If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}.

## Run it

After that, you just need to install `pytest`:

<div class="termy">

```Python hl_lines="36-42"
{!../../../docs_src/nosql_databases/tutorial001.py!}
```

### Ⓜ-🎻

🚥 👆 🚫 😰 ⏮️ `f"userprofile::{username}"`, ⚫️ 🐍 "<a href="https://docs.python.org/3/glossary.html#term-f-string" class="external-link" target="_blank">Ⓜ-🎻</a>".

🙆 🔢 👈 🚮 🔘 `{}` Ⓜ-🎻 🔜 ↔ / 💉 🎻.

### `dict` 🏗

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.