hy.lee <******@****.***> 1733748175 +0900

Sebastián Ramírez <******@****.***> 1731896744 +0100

Sebastián Ramírez <******@****.***> 1731896744 +0100

Sebastián Ramírez <******@****.***> 1731896744 +0100

**FastAPI** **extraerá** los datos de **cada campo** de los **form data** en el request y te dará el modelo de Pydantic que definiste.

## Revisa la Documentación

Puedes verificarlo en la interfaz de documentación en `/docs`:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

## Prohibir Campos de Formulario Extra

Sebastián Ramírez <******@****.***> 1731896744 +0100

    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'
    may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or

  }

  private fun executeSynchronously(request: Request): RecordedResponse {
    val call = client.newCall(request)
    return try {
      val response = call.execute()
      val bodyString = response.body.string()
      RecordedResponse(request, response, null, bodyString, null)
    } catch (e: IOException) {
      RecordedResponse(request, null, null, null, e)
    }
  }

    }

    /**
     * Gets the requested lease state flags for V2
     * @return the requested lease state
     */
    public int getLeaseState() {
        return leaseState;
    }

    /**
     * Sets the requested lease state flags for V2
     * @param leaseState the lease state to set
     */
    public void setLeaseState(int leaseState) {
        this.leaseState = leaseState;
    }

    /**

    int NT_STATUS_SUCCESS = 0x00000000;
    /** The request is pending */
    int NT_STATUS_PENDING = 0x00000103;
    /** A notify change request is being completed and information is being returned */
    int NT_STATUS_NOTIFY_ENUM_DIR = 0x0000010C;
    /** The data was too large to fit into the specified buffer */
    int NT_STATUS_BUFFER_OVERFLOW = 0x80000005;
    /** The requested operation was unsuccessful */