)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := max(time.Duration(r.Float64()*float64(scannerCycle.Load())),
				// Make sure to sleep at least a second to avoid high CPU ticks.
				time.Second)

success.upload_file_to_storage={0} przesłano.
success.sso_logout=Wylogowano.
success.update_storage_tags=Tagi dla {0} zaktualizowano.

success.crud_create_crud_table = Dane utworzono.
success.crud_update_crud_table = Dane zaktualizowano.

Klaus Post <******@****.***> 1756435188 +0200

Klaus Post <******@****.***> 1756435188 +0200

    * Automatyczne i przejrzyste błędy gdy dane są niepoprawne.
    * Walidacja nawet dla głęboko zagnieżdżonych obiektów JSON.
* <abbr title="znane również jako: serializacja, przetwarzanie, marshalling">Konwersja</abbr> danych wejściowych: przychodzących z sieci na Pythonowe typy. Pozwala na przetwarzanie danych:
    * JSON.
    * Parametrów ścieżki.
    * Parametrów zapytania.
    * Dane cookies.
    * Dane nagłówków (headers).

```

Bạn đã sẵn sàng để tạo một API như sau:

* Nhận HTTP request với _đường dẫn_ `/` và `/items/{item_id}`.
* Cả hai _đường dẫn_ sử dụng toán tử `GET` (cũng đươc biết đến là _phương thức_ HTTP).
* _Đường dẫn_ `/items/{item_id}` có một _tham số đường dẫn_ `item_id`, nó là một tham số kiểu `int`.
* _Đường dẫn_ `/items/{item_id}`  có một _tham số query string_ `q`, nó là một tham số tùy chọn kiểu `str`.

		hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

* Fortgeschrittenere (aber ebenso einfache) Techniken zur Deklaration **tief verschachtelter JSON-Modelle** (dank Pydantic).
* **GraphQL** Integration mit <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> und anderen Bibliotheken.
* Viele zusätzliche Funktionen (dank Starlette) wie:
    * **WebSockets**
    * extrem einfache Tests auf Basis von `httpx` und `pytest`
    * **CORS**

## Opinions

"_[...] J'utilise beaucoup **FastAPI** ces derniers temps. [...] Je prévois de l'utiliser dans mon équipe pour tous les **services de ML chez Microsoft**. Certains d'entre eux seront intégrés dans le coeur de **Windows** et dans certains produits **Office**._"

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.