)
  exit /b 1
)

rem Read the output file
if exist "%JVM_CONFIG_TEMP%" (
  if defined MAVEN_DEBUG_SCRIPT (
    echo [DEBUG] Temp file contents:
    type "%JVM_CONFIG_TEMP%"
  )
  for /f "usebackq tokens=*" %%i in ("%JVM_CONFIG_TEMP%") do set "JVM_CONFIG_MAVEN_OPTS=%%i"
  del "%JVM_CONFIG_TEMP%" 2>nul
)

if defined MAVEN_DEBUG_SCRIPT (
  echo [DEBUG] Final JVM_CONFIG_MAVEN_OPTS: %JVM_CONFIG_MAVEN_OPTS%
)

    img: https://fastapi.tiangolo.com/img/sponsors/stainless.png
  - url: https://www.permit.io/blog/implement-authorization-in-fastapi?utm_source=github&utm_medium=referral&utm_campaign=fastapi
    title: Fine-Grained Authorization for FastAPI
    img: https://fastapi.tiangolo.com/img/sponsors/permit.png
  - url: https://www.interviewpal.com/?utm_source=fastapi&utm_medium=open-source&utm_campaign=dev-hiring

**FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the defined cookies in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/cookie-param-models/image01.png">
</div>

/// info

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.

# Copy from Pydantic v2, compatible with v1
if sys.version_info < (3, 10):
    WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias)  # type: ignore[attr-defined]
else:
    WithArgsTypes: tuple[Any, ...] = (
        typing._GenericAlias,  # type: ignore[attr-defined]
        types.GenericAlias,
        types.UnionType,
    )  # pyright: ignore[reportAttributeAccessIssue]

from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="module",
    params=[
        "tutorial008_py39",
        # Fails with `NameError: name 'DepA' is not defined`
        pytest.param("tutorial008_an_py39", marks=pytest.mark.xfail),
    ],
)
def get_module(request: pytest.FixtureRequest):
    mod_name = f"docs_src.dependencies.{request.param}"

        Union[str, AliasPath, AliasChoices, None],
        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

    """
    When a dependency with yield raises after the streaming response already started
    the 200 status code is already sent, but there's still an error in the server
    afterwards, an exception is raised and captured or shown in the server logs.
    """
    with TestClient(app, raise_server_exceptions=False) as client:
        response = client.get("/broken-session-stream")
        assert response.status_code == 200

@echo off

if DEFINED JAVA_HOME goto cont

:err
ECHO JAVA_HOME environment variable must be set! 1>&2
EXIT /B 1 

:cont
set SCRIPT_DIR=%~dp0
for %%I in ("%SCRIPT_DIR%..") do set FESS_HOME=%%~dpfI


REM ***** JAVA options *****

if "%FESS_MIN_MEM%" == "" (
set FESS_MIN_MEM=256m
)

if "%FESS_MAX_MEM%" == "" (
set FESS_MAX_MEM=1g
)

if NOT "%FESS_HEAP_SIZE%" == "" (
set FESS_MIN_MEM=%FESS_HEAP_SIZE%

///

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }

It's **not supported** by Pydantic to have a model of Pydantic v2 with its own fields defined as Pydantic v1 models or vice versa.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end