code: def test_push_to_huggingface(mocked_openai):
      dataset = FeedbackDataset.from_huggingface(
          "argilla/customer_assistant"
      )
      # adapation from LlamaIndex's TEXT_QA_PROMPT_TMPL_MSGS[1].content
      user_message_prompt = """Context information is below.
      ---------------------
      {context_str}
      ---------------------
      Given the context information and not prior knowledge but keeping your Argilla Cloud assistant style, answer the query.
      Query: {query_str}
      Answer:
      """
      # adapation from LlamaIndex's TEXT_QA_SYSTEM_PROMPT
      system_prompt = """You are an expert customer service assistant for the Argilla Cloud product that is trusted around the world."""
  
      def formatting_func(sample: dict):
          from uuid import uuid4
  
          if sample["response"]:
              chat = str(uuid4())
              user_message = user_message_prompt.format(
                  context_str=sample["context"],
                  query_str=sample["user-message"],
              )
              return [
                  (chat, "0", "system", system_prompt),
                  (chat, "1", "user", user_message),
                  (
                      chat,
                      "2",
                      "assistant",
                      sample["response"][0]["value"],
                  ),
              ]
          else:
              return None
  
      task = TrainingTask.for_chat_completion(
          formatting_func=formatting_func
      )
      trainer = ArgillaTrainer(
          dataset=dataset, task=task, framework="openai"
      )
      with pytest.raises(
          NotImplementedError,
          match="This method is not implemented for `ArgillaOpenAITrainer`.",
      ):
          trainer.push_to_huggingface("mocked", generate_card=True)
  
file_path: argilla/tests/integration/client/feedback/training/test_openai.py
imports: import re
  import argilla
  import pytest
  from argilla.client.feedback.training.schemas.return_types import ChatCompletionReturnTypes
  from argilla.feedback import ArgillaTrainer, FeedbackDataset, TrainingTask
  from tests.integration.client.feedback.helpers import formatting_func_chat_completion
label_desc: Use image node_id 2 for calling a global function with example usage: test_push_to_huggingface(mocked_openai) and returns: list, None