active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

current_user --> active_user
active_user --> admin_user
active_user --> paying_user

current_user --> public
active_user --> private
admin_user --> activate_user
paying_user --> pro_items
```

active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

current_user --> active_user
active_user --> admin_user
active_user --> paying_user

current_user --> public
active_user --> private
admin_user --> activate_user
paying_user --> pro_items
```

active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

current_user --> active_user
active_user --> admin_user
active_user --> paying_user

current_user --> public
active_user --> private
admin_user --> activate_user
paying_user --> pro_items
```

    subgraph Client Node
        Client
        CZ["Ztunnel"]
    end
    subgraph Server Node
        Server
        SZ["Ztunnel"]
    end
    Client--Plain-->CZ
    CZ-."HBONE (target)".->Server
    CZ--"HBONE (actual)"-->SZ
    SZ--Plain-->Server
```

### Pooling

User connections can be multiplexed over shared HBONE connections.
This is done through standard HTTP/2 pooling.

#                                                     Paging
#                                                     ------
# The size of one page for paging
paging.page.size = 25

# The size of page range for paging
paging.page.range.size = 5

# The option 'fillLimit' of page range for paging
paging.page.range.fill.limit = true

# fetch page size
page.docboost.max.fetch.size=1000

            .header("Content-Type", "text/plain-ish")
            .build(),
        )
      }
    server.enqueue(MockResponse())
    client.newCall(
      request()
        .post("Hi?".toRequestBody(PLAIN))
        .build(),
    ).execute()
    applicationLogs
      .assertLogEqual("--> POST $url")
      .assertLogEqual("Content-Type: text/plain; charset=utf-8")
      .assertLogEqual("Content-Length: 3")

### TODO

In subsequent releases we are planning to extend this to provide things like

- Reload() of MinIO server arguments without fully restarting the process.

- Expanding 1 node at a time by automating the process of creating a new pool

    /** The key of the configuration. e.g. 25 */
    String PAGING_PAGE_SIZE = "paging.page.size";

    /** The key of the configuration. e.g. 5 */
    String PAGING_PAGE_RANGE_SIZE = "paging.page.range.size";

    /** The key of the configuration. e.g. true */
    String PAGING_PAGE_RANGE_FILL_LIMIT = "paging.page.range.fill.limit";

    /** The key of the configuration. e.g. 1000 */

    assertFailsWith<IllegalArgumentException> {
      Request.Builder().method("GET", "abc".toRequestBody("text/plain".toMediaType()))
    }
  }

  @Test
  fun head() {
    server.enqueue(
      MockResponse(
        headers = headersOf("Content-Type", "text/plain"),
      ),
    )
    val request =
      Request.Builder()
        .url(server.url("/"))
        .head()

!!! info
    Keep in mind that dataclasses can't do everything Pydantic models can do.

    So, you might still need to use Pydantic models.

    But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

## Dataclasses in `response_model`

You can also use `dataclasses` in the `response_model` parameter:

```Python hl_lines="1  7-13  19"