from dirty_equals import IsDict
from fastapi.testclient import TestClient

from .main import app

client = TestClient(app)


def test_query():
    response = client.get("/query")
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["query", "query"],

* Data validation
* API annotation and automatic documentation

And you only have to declare them once.

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python

        comment_id=comment_id,
        body=body,
    )
    response = UpdateCommentResponse.parse_obj(data)
    return response.data.updateDiscussionComment.comment


if __name__ == "__main__":
    settings = Settings()
    if settings.input_debug:
        logging.basicConfig(level=logging.DEBUG)
    else:
        logging.basicConfig(level=logging.INFO)

                    "count": count,
                    "avatarUrl": author.avatarUrl,
                    "url": author.url,
                }
            )
    return users


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)
    settings = Settings()
    logging.info(f"Using config: {settings.model_dump_json()}")
    g = Github(settings.input_token.get_secret_value())

from fastapi.testclient import TestClient

from .main import app

client = TestClient(app)


def test_read_item():
    response = client.get("/items/foo", headers={"X-Token": "coneofsilence"})
    assert response.status_code == 200
    assert response.json() == {
        "id": "foo",
        "title": "Foo",
        "description": "There goes my hero",
    }


def test_read_item_bad_token():

Sebastián Ramírez <******@****.***> 1698179166 +0400

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap

            ]
        }
    )


def test_main_depends_q_foo():
    response = client.get("/main-depends/?q=foo")
    assert response.status_code == 200
    assert response.json() == {
        "in": "main-depends",
        "params": {"q": "foo", "skip": 0, "limit": 100},
    }


def test_main_depends_q_foo_skip_100_limit_200():
    response = client.get("/main-depends/?q=foo&skip=100&limit=200")

## The main `FastAPI`

Now, let's see the module at `app/main.py`.

Here's where you import and use the class `FastAPI`.

This will be the main file in your application that ties everything together.

And as most of your logic will now live in its own specific module, the main file will be quite simple.

### Import `FastAPI`