You can then use `Field` with model attributes:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` works the same way as `Query`, `Path` and `Body`, it has all the same parameters, etc.

/// note | Technical Details

Actually, `Query`, `Path` and others you'll see next create objects of subclasses of a common `Param` class, which is itself a subclass of Pydantic's `FieldInfo` class.

### Enable Keycloak Admin REST API support

Before being able to authenticate against the Admin REST API using a client_id and a client_secret you need to make sure the client is configured as it follows:

- `account` client_id is a confidential client that belongs to the realm `{realm}`
- `account` client_id is has **Service Accounts Enabled** option enabled.

        return output;
    }

    /**
     * Checks if the item has been updated.
     *
     * @return true if the item has been updated, false otherwise.
     */
    public boolean isUpdated() {
        return newInput != null && newOutput != null;
    }

    /**
     * Checks if the item has been marked for deletion.
     *

You can combine normal FastAPI *path operations* with GraphQL on the same application.

/// tip

**GraphQL** solves some very specific use cases.

It has **advantages** and **disadvantages** when compared to common **web APIs**.

Make sure you evaluate if the **benefits** for your use case compensate the **drawbacks**. 🤓

///

## GraphQL Libraries { #graphql-libraries }

  /**
   * Notification that the receiving stream flow control window has changed.
   * [WindowCounter] generally carries the client view of total and acked bytes.
   */
  fun receivingStreamWindowChanged(
    streamId: Int,
    windowCounter: WindowCounter,
    bufferSize: Long,
  )

  /**
   * Notification that the receiving connection flow control window has changed.

			},
		},
		ReflectValue: reflect.ValueOf(dest),
		Dest:         dest,
	}

	stmt.Schema = s

	values := ConvertToCreateValues(stmt)
	expected := clause.Values{
		// column has value + defaultValue column has value (which should have a stable order)
		Columns: []clause.Column{{Name: "name"}, {Name: "email"}, {Name: "age"}, {Name: "id"}},
		Values: [][]interface{}{
			{"alice", "email", 18, 1},
			{"bob", "email", 19, 2},

      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the
  // string is empty, no mutation has occurred. Otherwise the string is a
  // description of the mutation suitable for returning to the user.
  //

echo Failed starting '%SERVICE_ID%' service
goto:eof
:started
echo The service '%SERVICE_ID%' has been started
goto:eof

:doStop
"%EXECUTABLE%" //SS//%SERVICE_ID% %LOG_OPTS%
if not errorlevel 1 goto stopped
echo Failed stopping '%SERVICE_ID%' service
goto:eof
:stopped
echo The service '%SERVICE_ID%' has been stopped
goto:eof

:doManagment
set EXECUTABLE_MGR=%FESS_HOME%\bin\fess-service-mgr.exe

Asynchronous code just means that the language 💬 has a way to tell the computer / program 🤖 that at some point in the code, it 🤖 will have to wait for *something else* to finish somewhere else. Let's say that *something else* is called "slow-file" 📝.

So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

// Invoking a macro does not touch the PC/line history.
func (in *Input) invokeMacro(macro *Macro) {
	// If the macro has no arguments, just substitute the text.
	if macro.args == nil {
		in.Push(NewSlice(in.Base(), in.Line(), macro.tokens))
		return
	}
	tok := in.Stack.Next()
	if tok != '(' {
		// If the macro has arguments but is invoked without them, all we push is the macro name.
		// First, put back the token.
		in.peekToken = tok