* Based on Python type hints.
* Validation and documentation from these types.
* Dependency Injection system.

It doesn't use a data validation, serialization and documentation third-party library like Pydantic, it has its own. So, these data type definitions would not be reusable as easily.

# Features { #features }

## FastAPI features { #fastapi-features }

**FastAPI** gives you the following:

### Based on open standards { #based-on-open-standards }

            return 1.0;
        }

        // Simple heuristic based on data entropy
        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression

    }

    private Cipher createGCMCipher(final boolean encrypt, final byte[] nonce) throws Exception {
        // Determine key size based on cipher ID for AES-256 support
        int keyLength = getKeyLength();
        String transformation;

        // Select appropriate AES algorithm based on key length
        if (keyLength == 32) {
            // AES-256 support
            transformation = "AES/GCM/NoPadding";

* **Basé sur des normes** : Basé sur (et entièrement compatible avec) les standards ouverts pour les APIs : <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> (précédemment connu sous le nom de Swagger) et <a href="https://json-schema.org/" class="external-link" target="_blank">JSON Schema</a>.

                }
            }
        });

        handle.setNotificationFuture(future);
    }

    /**
     * Determine optimal polling interval based on directory activity and failure count
     *
     * Current strategy is based on failure count. In the future, this could be enhanced to consider:
     * - Recent event frequency (successful notifications)
     * - Time since last successful notification

With SQLModel, we can use **inheritance** to **avoid duplicating** all the fields in all the cases.

#### `HeroBase` - the base class { #herobase-the-base-class }

Let's start with a `HeroBase` model that has all the **fields that are shared** by all the models:

* `name`
* `age`

     */
    @Override
    public void setInitParameterMap(final Map<String, Object> params) {
        initParamMap = params;
    }

    /**
     * Executes the request based on the HTTP method.
     * @param request The request data.
     * @return The response data.
     */
    @Override
    public ResponseData execute(final RequestData request) {

- **Fault Tolerance**: Built-in retry mechanisms and error handling
- **Flexible Configuration**: XML-based dependency injection with LastaFlute DI
- **Extensible Architecture**: Plugin system for custom extractors, transformers, and clients
- **Rate Limiting**: Politeness policies and interval controllers
- **URL Filtering**: Regex-based inclusion/exclusion patterns
- **Data Persistence**: Multiple backend options including OpenSearch integration

### Base Docker Image { #base-docker-image }

There used to be an official FastAPI Docker image: <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. But it is now deprecated. ⛔️

You should probably **not** use this base Docker image (or any other similar one).