code: def test_check_abnormal_completions(self, caplog):
      component = OpenAIChatGenerator(api_key="test-api-key")
      messages = [
          ChatMessage.from_assistant(
              "",
              meta={
                  "finish_reason": "content_filter"
                  if i % 2 == 0
                  else "length",
                  "index": i,
              },
          )
          for i, _ in enumerate(range(4))
      ]
  
      for m in messages:
          component._check_finish_reason(m)
  
      # check truncation warning
      message_template = (
          "The completion for index {index} has been truncated before reaching a natural stopping point. "
          "Increase the max_tokens parameter to allow for longer completions."
      )
  
      for index in [1, 3]:
          assert caplog.records[
              index
          ].message == message_template.format(index=index)
  
      # check content filter warning
      message_template = "The completion for index {index} has been truncated due to the content filter."
      for index in [0, 2]:
          assert caplog.records[
              index
          ].message == message_template.format(index=index)
  
imports: import os
  import pytest
  from openai import OpenAIError
  from haystack.components.generators.chat import OpenAIChatGenerator
  from haystack.components.generators.utils import default_streaming_callback
  from haystack.dataclasses import ChatMessage, StreamingChunk
label_desc: Use image node_id 12 for calling the TestOpenAIChatGenerator obj's underlying member method code with example usage: obj.test_check_abnormal_completions(caplog) without return types