# Cookie Parameter Models { #cookie-parameter-models }

If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

import org.codelibs.fess.opensearch.config.exentity.ScheduledJob;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * The DBM of ScheduledJob.
 *

{* ../../docs_src/python_types/tutorial004.py hl[2] *}

## Declaring types { #declaring-types }

You just saw the main place to declare type hints. As function parameters.

This is also the main place you would use them with **FastAPI**.

### Simple types { #simple-types }

You can declare all the standard Python types, not only `str`.

You can use, for example:

* `int`
* `float`
* `bool`
* `bytes`

Vous écrivez du python standard avec des annotations de types:

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str

import java.io.Serializable;
import java.util.Map;
import java.util.Set;

import org.dbflute.Entity;
import org.dbflute.FunCustodial;
import org.dbflute.dbmeta.accessory.EntityModifiedProperties;
import org.dbflute.dbmeta.accessory.EntityUniqueDrivenProperties;
import org.dbflute.util.DfCollectionUtil;
import org.opensearch.action.delete.DeleteRequestBuilder;
import org.opensearch.action.index.IndexRequestBuilder;

/**

import org.dbflute.Entity;
import org.dbflute.bhv.AbstractBehaviorWritable;
import org.dbflute.bhv.readable.EntityRowHandler;
import org.dbflute.bhv.writable.DeleteOption;
import org.dbflute.bhv.writable.InsertOption;
import org.dbflute.bhv.writable.UpdateOption;
import org.dbflute.cbean.ConditionBean;
import org.dbflute.cbean.coption.CursorSelectOption;
import org.dbflute.cbean.result.ListResultBean;

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.mylasta.direction.sponsor;

import java.util.TimeZone;

import org.dbflute.system.DBFluteSystem;
import org.dbflute.system.provider.DfFinalTimeZoneProvider;
import org.dbflute.util.DfTypeUtil;
import org.lastaflute.core.direction.CurtainBeforeHook;
import org.lastaflute.core.direction.FwAssistantDirector;

/**
 * The hook before curtain.
 *

## Additional Responses { #additional-responses }

You probably have seen how to declare the `response_model` and `status_code` for a *path operation*.

That defines the metadata about the main response of a *path operation*.

You can also declare additional responses with their models, status codes, etc.

import org.codelibs.fess.opensearch.log.exentity.SearchLog;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * @author ESFlute (using FreeGen)
 */

## Import `Cookie` { #import-cookie }

First import `Cookie`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## Declare `Cookie` parameters { #declare-cookie-parameters }

Then declare the cookie parameters using the same structure as with `Path` and `Query`.

You can define the default value as well as all the extra validation or annotation parameters: