<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

/// note | "Nota"

O comando `uvicorn main:app` refere-se a:

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

<mxfile host="65bd71144e">
    <diagram id="jyERGzDynktFHFRGN0ph" name="Page-1">
        <mxGraphModel dx="2481" dy="1867" grid="1" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="1920" pageHeight="1200" math="0" shadow="0">
            <root>
                <mxCell id="0"/>
                <mxCell id="1" parent="0"/>

  // this service.
  // +optional
  optional string path = 3;

  // If specified, the port on the service that hosting webhook.
  // Default to 443 for backward compatibility.
  // `port` should be a valid port number (1-65535, inclusive).
  // +optional
  optional int32 port = 4;
}

// ValidatingWebhook describes an admission webhook and the resources and operations it applies to.

### [Addresses](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-address/)

Addresses specify a webserver (like `github.com`) and all of the **static** configuration necessary to connect to that server: the port number, HTTPS settings, and preferred network protocols (like HTTP/2).

  virtual absl::Status NumElements(int64_t* num_elements) const = 0;
  // Returns size of specified dimension
  //
  // -1 indicates an unknown axis length; this is unreachable for most standard
  // ImmediateExecutionTensorHandles, but comes up for example when computing
  // the shape of a parallel tensor with component shapes differing across
  // devices.

		},
		config.KV{
			Key:   target.PostgresTable,
			Value: cfg.Table,
		},
		config.KV{
			Key:   target.PostgresHost,
			Value: cfg.Host.String(),
		},
		config.KV{
			Key:   target.PostgresPort,
			Value: cfg.Port,
		},
		config.KV{
			Key:   target.PostgresUsername,
			Value: cfg.Username,
		},
		config.KV{
			Key:   target.PostgresPassword,
			Value: cfg.Password,

    }

    //    public void addProxy( String protocol, String host, int port, String username, String password,
    //                          String nonProxyHosts )
    //    {
    //        ProxyInfo proxyInfo = new ProxyInfo();
    //        proxyInfo.setHost( host );
    //        proxyInfo.setType( protocol );
    //        proxyInfo.setPort( port );
    //        proxyInfo.setNonProxyHosts( nonProxyHosts );

// Returns the number of elements in dimension `dim_index`.
// Tensor representation on device can be transposed from its representation
// on host. The data contained in dimension `dim_index` on device
// can correspond to the data contained in another dimension in on-host
// representation. The dimensions are indexed using the standard TensorFlow
// major-to-minor order (slowest varying dimension first),

            // server is set through URL, however it's still in the name
            int pos = 0;
            if ( context.getServer() == null ) {
                pos = 1;
            }

            // first remaining path element would be share
            if ( nameParts.length > pos ) {
                this.share = nameParts[ pos++ ];
            }

            // all other remaining path elements are actual path