{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

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

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

You can see the query parameters in the docs UI at `/docs`:

<div class="screenshot">

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '
                      '"$http_user_agent" "$http_x_forwarded_for"';

    access_log  /var/log/nginx/access.log  main;
    sendfile        on;

            // Verify header encoding including ptype
            verify(mockBuffer, times(3)).enc_ndr_small(0); // minor version, ptype (REQUEST=0), and flags (all are 0)
        }

        @Test
        @DisplayName("encode should handle non-REQUEST ptype correctly")
        void testEncodeNonRequestPtype() throws NdrException {
            message.ptype = DcerpcConstants.RPC_PT_RESPONSE; // 2, not 0

    // ===================================================================================
    //                                                                   Request Parameter
    //                                                                   =================
    public SearchRequestParams request() {
        return _searchRequestParams;
    }

    public void setPreference(final String preference) {
        _preference = preference;

    // ===================================================================================
    //                                                                   Request Parameter
    //                                                                   =================
    public SearchRequestParams request() {
        return _searchRequestParams;
    }

    public void setPreference(final String preference) {
        _preference = preference;

 * **PushPromise**: headers, method, path, response
 * **Request**: body, cacheControl, headers, method, url
 * **Response**: body, cacheControl, cacheResponse, code, handshake, headers, message,
   networkResponse, priorResponse, protocol, receivedResponseAtMillis, request, sentRequestAtMillis
 * **Route**: address, proxy, socketAddress
 * **TlsVersion**: javaName

    }

    @AfterEach
    void tearDown() {
        if (leaseManager != null) {
            leaseManager.shutdown();
        }
    }

    @Test
    @DisplayName("Should request new lease")
    void testRequestLease() {
        String path = "/share/file.txt";
        int requestedState = Smb2LeaseState.SMB2_LEASE_FULL;

        Smb2LeaseKey key = leaseManager.requestLease(path, requestedState);

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

        )

    tasks.add_task(bg, state)
    return state


@app.middleware("http")
async def middleware(request, call_next):
    response: StreamingResponse = await call_next(request)
    response.headers["x-state"] = json.dumps(state.copy())
    return response


client = TestClient(app)


def test_async_state():

```

Default trace is succinct only to indicate the API operations being called and the HTTP response status.

```sh
mc admin trace myminio
```

To trace entire HTTP request

```sh
mc admin trace --verbose myminio
```

To trace entire HTTP request and also internode communication

```sh
mc admin trace --all --verbose myminio
```

## Subnet Health