But by default, it all **"just works"**.

### Validation { #validation }

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.validation;

import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.util.ComponentUtil;

import jakarta.validation.ConstraintDefinitionException;
import jakarta.validation.ConstraintValidator;
import jakarta.validation.ConstraintValidatorContext;

/**
 * Validator implementation for URI type constraints.

{* ../../docs_src/query_params_str_validations/tutorial014_an_py310.py hl[10] *}

## Custom Validation { #custom-validation }

There could be cases where you need to do some **custom validation** that can't be done with the parameters shown above.

In those cases, you can use a **custom validator function** that is applied after the normal validation (e.g. after validating that the value is a `str`).

    * Si on n'utilisait pas FastAPI mais directement Starlette (ou un outil équivalent comme Sanic, Flask, Responder, etc) il faudrait implémenter la validation des données et la sérialisation par nous-même. Le résultat serait donc le même dans...

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.go;

import java.util.HashMap;
import java.util.Map;

import org.lastaflute.web.validation.Required;

import jakarta.validation.constraints.Size;

/**
 * Form class for handling "go" requests that redirect users to specific documents
 * or search results. This form captures the necessary parameters for document

## Test Files Overview

### 1. ExtractorResourceManagementTest.java
**Purpose**: Verify proper resource management in Extractor implementations.

**Key Test Areas**:
- Resource closure on successful extraction (MS Office extractors)
- Resource closure on failed extraction
- Improved error messages with context
- Input validation using `validateInputStream()`

                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

        Doc(
            """
            'Whitelist' validation step. The parameter field will be the single one
            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the

Mais, **tout fonctionne** par défaut.

### Validation

* Validation pour la plupart (ou tous?) les **types de données** Python incluant:
    * objets JSON (`dict`).
    * listes JSON (`list`) définissant des types d'éléments.
    * Champs String (`str`), définition de longueur minimum ou maximale.
    * Nombres (`int`, `float`) avec valeur minimale and maximale, etc.

* Validation pour des types plus exotiques, tel que:
    * URL.

                                    }
                                },
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {