goto endHandleArgs
:handleArgs
if "%~1"=="--debug" (
    if "%MAVEN_DEBUG_OPTS%"=="" (
        set "MAVEN_DEBUG_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=%MAVEN_DEBUG_ADDRESS%"
    )
) else if "%~1"=="--yjp" (
    if not exist "%YJPLIB%" (
        echo Error: Unable to autodetect the YJP library location. Please set YJPLIB variable >&2

Skopiuj to do pliku `main.py`.

Uruchom serwer:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]

                .withEnv("MINIO_ACCESS_KEY", ACCESS_KEY)//
                .withEnv("MINIO_SECRET_KEY", SECRET_KEY)//
                .withExposedPorts(port)//
                .withCommand("server /data")//
                .waitingFor(new HttpWaitStrategy()//
                        .forPath("/minio/health/ready")//
                        .forPort(port)//

```

TODO. It is possible to add Istio-CNI later, and gradually migrate.

### Install Control plane

This can run in any cluster. A mesh should have at least one cluster should run Pilot or equivalent XDS server,
and it is recommended to have Pilot running in each region and in multiple availability zones for multi cluster.

```bash
iop istio-control istio-discovery $IBASE/istio-control/istio-discovery \

    val address = factory.newAddress()
    proxySelector.proxies.add(Proxy.NO_PROXY)
    val routeSelector = newRouteSelector(address)
    proxySelector.assertRequests(address.url.toUri())

    // Only the origin server will be attempted.
    assertThat(routeSelector.hasNext()).isTrue()
    dns[uriHost] = dns.allocate(1)
    val selection = routeSelector.next()

    --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7
    # via -r ci/official/requirements_updater/requirements.in
tensorboard-data-server==0.7.2 \
    --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \
    --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \

    --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7
    # via -r ci/official/requirements_updater/requirements.in
tensorboard-data-server==0.7.2 \
    --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \
    --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \

    --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7
    # via -r ci/official/requirements_updater/requirements.in
tensorboard-data-server==0.7.2 \
    --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \
    --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

/// tip