Anže Sodja <******@****.***> 1673863232 +0100

    * Vous pouvez avoir des objets **JSON fortement imbriqués** tout en ayant, pour chacun, de la validation et des annotations.
* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

  // Required.
  optional MatchResources matchConstraints = 2;

  // Validations contain CEL expressions which is used to apply the validation.
  // Validations and AuditAnnotations may not both be empty; a minimum of one Validations or AuditAnnotations is
  // required.
  // +listType=atomic
  // +optional
  repeated Validation validations = 3;

La validation des données est une autre fonctionnalité importante dont ont besoin les API. Elle permet de s'assurer
que les données sont valides, compte tenu de certains paramètres. Par exemple, qu'un champ est un `int`, et non un
string.
Ceci est particulièrement utile pour les données entrantes.

  @get:JvmName("noCache") val noCache: Boolean,
  /** If true, this response should not be cached. */
  @get:JvmName("noStore") val noStore: Boolean,
  /** The duration past the response's served date that it can be served without validation. */
  @get:JvmName("maxAgeSeconds") val maxAgeSeconds: Int,
  /**
   * The "s-maxage" directive is the max age for shared caches. Not to be confused with "max-age"

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

### 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.
    * UUID.

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have...

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

  // +kubebuilder:validation:MaxLength=1024
  // +kubebuilder:validation:MinLength=1
  // +kubebuilder:validation:Pattern=`^[A-Za-z]([A-Za-z0-9_,:]*[A-Za-z0-9_])?$`
  optional string reason = 5;

  // message is a human readable message indicating details about the transition.
  // This may be an empty string.
  // +required
  // +kubebuilder:validation:Required
  // +kubebuilder:validation:MaxLength=32768

      }

    /**
     * Add a header with the specified name and value. Does validation of header names and values.
     */
    fun add(
      name: String,
      value: String,
    ) = commonAdd(name, value)

    /**
     * Add a header with the specified name and value. Does validation of header names, allowing
     * non-ASCII values.
     */
    fun addUnsafeNonAscii(