Führen Sie den Server aus:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">

**FastAPI** bietet ein praktisches Werkzeug zur Strukturierung Ihrer Anwendung bei gleichzeitiger Wahrung der Flexibilität.

/// info

Wenn Sie von Flask kommen, wäre dies das Äquivalent zu Flasks Blueprints.

///

## Eine Beispiel-Dateistruktur

Nehmen wir an, Sie haben eine Dateistruktur wie diese:

```
.
├── app

 ╰─────────────────────────────────────────────────────╯

INFO:     Will watch for changes in these directories: ['/home/user/code/awesomeapp']
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

Sunucuyu aşağıdaki komutla çalıştıralım:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">

# Файлы и формы в запросе

Вы можете определять файлы и поля формы одновременно, используя `File` и `Form`.

/// info | "Дополнительная информация"

Чтобы получать загруженные файлы и/или данные форм, сначала установите <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Например: `pip install python-multipart`.

///

## Импортируйте `File` и `Form`

//// tab | Python 3.9+

def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/a/": {
                "get": {
                    "responses": {
                        "200": {

def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/{item_id}": {
                "get": {
                    "responses": {
                        "200": {

@needs_pydanticv2
def test_openapi_schema(client: TestClient) -> None:
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "get": {
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",

    Jsoup.parse(richReportFile, "UTF-8").run {
        RichReport(
            scrapeMessagesForSeverity("error"),
            scrapeMessagesForSeverity("warning"),
            scrapeMessagesForSeverity("info"),
            scrapeMessagesForSeverity("accepted")
        )
    }


private
fun Document.scrapeMessagesForSeverity(severity: String): List<ReportMessage> =

    select("tr.severity-$severity").map { tr ->

    "price": 50.2
}
```

/// info

In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.

Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.

///

/// info