content: """Unit tests for error handling."""
  
  import json
  import os
  import tempfile
  from unittest.mock import patch
  
  import pytest
  
  from synthetic_data_kit.core import create, curate, save_as
  from synthetic_data_kit.models.llm_client import LLMClient
  from synthetic_data_kit.utils.llm_processing import parse_qa_pairs
  
  
  @pytest.mark.unit
  def test_parse_qa_pairs_invalid_json():
      """Test handling of invalid JSON in parse_qa_pairs."""
      # Invalid JSON that doesn't parse
      invalid_json = "This is not JSON at all"
      result = parse_qa_pairs(invalid_json)
  
      # Should return an empty list or a list with partial results rather than crashing
      assert isinstance(result, list)
  
      # Partial JSON that looks like JSON but is malformed
      partial_json = """
      Here are some results:
      [
          {"question": "What is synthetic data?", "answer": "It's artificial data."},
          {"question": "Why use synthetic data?",
      """
      result = parse_qa_pairs(partial_json)
  
      # Should return at least something rather than crashing
      assert isinstance(result, list)
      # It may use regex fallback to extract the one valid pair
      if result:
          assert "question" in result[0]
  
  
  @pytest.mark.unit
  def test_llm_client_error_handling(patch_config, test_env):
      """Test error handling in LLM client."""
      with patch("synthetic_data_kit.models.llm_client.OpenAI") as mock_openai:
          # Setup mock to raise an exception
          mock_openai.side_effect = Exception("API Error")
  
          # Should handle the exception gracefully
          with pytest.raises(Exception) as excinfo:
              LLMClient(provider="api-endpoint")
  
          # Check that the error message is helpful
          assert "API Error" in str(excinfo.value)
  
  
  @pytest.mark.unit
  def test_save_as_unknown_format():
      """Test error handling for unknown format in save_as."""
      # Create sample QA pairs
      qa_pairs = [
          {
              "question": "What is synthetic data?",
              "answer": "Synthetic data is artificially generated data.",
          },
      ]
  
      # Create a temporary file with QA pairs
      with tempfile.NamedTemporaryFile(mode="w+", suffix=".json", delete=False) as f:
          json.dump({"qa_pairs": qa_pairs}, f)
          input_path = f.name
  
      # Create temporary output path
      with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as f:
          output_path = f.name
  
      try:
          # Try to convert to an unknown format
          with pytest.raises(ValueError) as excinfo:
              save_as.convert_format(
                  input_path=input_path, output_path=output_path, format_type="unknown-format"
              )
  
          # Check that the error message is helpful
          assert "Unknown format type" in str(excinfo.value)
      finally:
          # Clean up
          if os.path.exists(input_path):
              os.unlink(input_path)
          if os.path.exists(output_path):
              os.unlink(output_path)
  
  
  @pytest.mark.unit
  def test_save_as_unrecognized_data_format():
      """Test error handling for unrecognized data format in save_as."""
      # Create a file with unrecognized structure
      with tempfile.NamedTemporaryFile(mode="w+", suffix=".json", delete=False) as f:
          json.dump({"something_unexpected": "data"}, f)
          input_path = f.name
  
      # Create temporary output path
      with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as f:
          output_path = f.name
  
      try:
          # Try to convert a file with unrecognized structure
          with pytest.raises(ValueError) as excinfo:
              save_as.convert_format(
                  input_path=input_path, output_path=output_path, format_type="jsonl"
              )
  
          # Check that the error message is helpful
          assert "Unrecognized data format" in str(excinfo.value)
      finally:
          # Clean up
          if os.path.exists(input_path):
              os.unlink(input_path)
          if os.path.exists(output_path):
              os.unlink(output_path)
  
  
  @pytest.mark.unit
  def test_create_invalid_content_type(patch_config, test_env):
      """Test error handling for invalid content type in create."""
      # Create a temporary text file
      with tempfile.NamedTemporaryFile(mode="w+", suffix=".txt", delete=False) as f:
          f.write("Sample text content")
          file_path = f.name
  
      # Create temporary output directory
      output_dir = tempfile.mkdtemp()
  
      try:
          # Mock the LLM client
          with patch("synthetic_data_kit.core.create.LLMClient"):
              # Try to create with an invalid content type
              with pytest.raises(ValueError) as excinfo:
                  create.process_file(
                      file_path=file_path, output_dir=output_dir, content_type="invalid-type"
                  )
  
              # Check that the error message mentions the content type
              # The actual message is "Unknown content type: invalid-type"
              assert "content type" in str(excinfo.value).lower()
              assert "invalid-type" in str(excinfo.value)
      finally:
          # Clean up
          if os.path.exists(file_path):
              os.unlink(file_path)
          os.rmdir(output_dir)
  
  
  @pytest.mark.unit
  def test_curate_input_validation(patch_config, test_env):
      """Test input validation for curate function."""
      # Create a temporary file with QA pairs
      qa_pairs = [
          {
              "question": "What is synthetic data?",
              "answer": "Synthetic data is artificially generated data.",
          }
      ]
  
      cot_examples = [
          {
              "question": "What is synthetic data?",
              "reasoning": "Synthetic data is artificially generated data.",
              "answer": "Synthetic data is artificially generated data.",
          }
      ]
  
      with tempfile.NamedTemporaryFile(mode="w+", suffix=".json", delete=False) as f:
          json.dump({"qa_pairs": qa_pairs, "cot_examples": cot_examples}, f)
          file_path = f.name
  
      # Create temporary output directory
      output_dir = tempfile.mkdtemp()
      output_path = os.path.join(output_dir, "output.json")
  
      try:
          # Create empty file to test error handling
          with tempfile.NamedTemporaryFile(mode="w+", suffix=".json", delete=False) as f:
              json.dump({}, f)
              empty_file_path = f.name
  
          # Mock the LLM client
          with patch("synthetic_data_kit.core.curate.LLMClient"):
              # Try to curate an empty file
              with pytest.raises(ValueError) as excinfo:
                  curate.curate_qa_pairs(input_path=empty_file_path, output_path=output_path)
  
              # Check that the error message is helpful
              assert "No QA pairs or CoT examples found" in str(excinfo.value)
      finally:
          # Clean up
          if os.path.exists(file_path):
              os.unlink(file_path)
          if os.path.exists(empty_file_path):
              os.unlink(empty_file_path)
          if os.path.exists(output_dir):
              try:
                  os.rmdir(output_dir)
              except OSError:
                  pass
  