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More tests

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Cyber MacGeddon 2025-09-25 22:24:06 +01:00
parent c5be657835
commit 543067ecc6
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tests/unit/test_text_completion/test_azure_openai_processor.py
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@ -402,6 +402,156 @@ class TestAzureOpenAIProcessorSimple(IsolatedAsyncioTestCase):
assert call_args[1]['max_tokens'] == 1024 assert call_args[1]['max_tokens'] == 1024
assert call_args[1]['top_p'] == 1 assert call_args[1]['top_p'] == 1
@patch('trustgraph.model.text_completion.azure_openai.llm.AzureOpenAI')
@patch('trustgraph.base.async_processor.AsyncProcessor.__init__')
@patch('trustgraph.base.llm_service.LlmService.__init__')
async def test_generate_content_temperature_override(self, mock_llm_init, mock_async_init, mock_azure_openai_class):
"""Test temperature parameter override functionality"""
# Arrange
mock_azure_client = MagicMock()
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.content = 'Response with custom temperature'
mock_response.usage.prompt_tokens = 20
mock_response.usage.completion_tokens = 12
mock_azure_client.chat.completions.create.return_value = mock_response
mock_azure_openai_class.return_value = mock_azure_client
mock_async_init.return_value = None
mock_llm_init.return_value = None
config = {
'model': 'gpt-4',
'endpoint': 'https://test.openai.azure.com/',
'token': 'test-token',
'api_version': '2024-12-01-preview',
'temperature': 0.0, # Default temperature
'max_output': 4192,
'concurrency': 1,
'taskgroup': AsyncMock(),
'id': 'test-processor'
}
processor = Processor(**config)
# Act - Override temperature at runtime
result = await processor.generate_content(
"System prompt",
"User prompt",
model=None, # Use default model
temperature=0.8 # Override temperature
)
# Assert
assert isinstance(result, LlmResult)
assert result.text == "Response with custom temperature"
# Verify Azure OpenAI API was called with overridden temperature
call_args = mock_azure_client.chat.completions.create.call_args
assert call_args[1]['temperature'] == 0.8 # Should use runtime override
assert call_args[1]['model'] == 'gpt-4'
@patch('trustgraph.model.text_completion.azure_openai.llm.AzureOpenAI')
@patch('trustgraph.base.async_processor.AsyncProcessor.__init__')
@patch('trustgraph.base.llm_service.LlmService.__init__')
async def test_generate_content_model_override(self, mock_llm_init, mock_async_init, mock_azure_openai_class):
"""Test model parameter override functionality"""
# Arrange
mock_azure_client = MagicMock()
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.content = 'Response with custom model'
mock_response.usage.prompt_tokens = 18
mock_response.usage.completion_tokens = 14
mock_azure_client.chat.completions.create.return_value = mock_response
mock_azure_openai_class.return_value = mock_azure_client
mock_async_init.return_value = None
mock_llm_init.return_value = None
config = {
'model': 'gpt-4', # Default model
'endpoint': 'https://test.openai.azure.com/',
'token': 'test-token',
'api_version': '2024-12-01-preview',
'temperature': 0.1, # Default temperature
'max_output': 4192,
'concurrency': 1,
'taskgroup': AsyncMock(),
'id': 'test-processor'
}
processor = Processor(**config)
# Act - Override model at runtime
result = await processor.generate_content(
"System prompt",
"User prompt",
model="gpt-4o", # Override model
temperature=None # Use default temperature
)
# Assert
assert isinstance(result, LlmResult)
assert result.text == "Response with custom model"
# Verify Azure OpenAI API was called with overridden model
call_args = mock_azure_client.chat.completions.create.call_args
assert call_args[1]['model'] == 'gpt-4o' # Should use runtime override
assert call_args[1]['temperature'] == 0.1 # Should use processor default
@patch('trustgraph.model.text_completion.azure_openai.llm.AzureOpenAI')
@patch('trustgraph.base.async_processor.AsyncProcessor.__init__')
@patch('trustgraph.base.llm_service.LlmService.__init__')
async def test_generate_content_both_parameters_override(self, mock_llm_init, mock_async_init, mock_azure_openai_class):
"""Test overriding both model and temperature parameters simultaneously"""
# Arrange
mock_azure_client = MagicMock()
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.content = 'Response with both overrides'
mock_response.usage.prompt_tokens = 22
mock_response.usage.completion_tokens = 16
mock_azure_client.chat.completions.create.return_value = mock_response
mock_azure_openai_class.return_value = mock_azure_client
mock_async_init.return_value = None
mock_llm_init.return_value = None
config = {
'model': 'gpt-4', # Default model
'endpoint': 'https://test.openai.azure.com/',
'token': 'test-token',
'api_version': '2024-12-01-preview',
'temperature': 0.0, # Default temperature
'max_output': 4192,
'concurrency': 1,
'taskgroup': AsyncMock(),
'id': 'test-processor'
}
processor = Processor(**config)
# Act - Override both parameters at runtime
result = await processor.generate_content(
"System prompt",
"User prompt",
model="gpt-4o-mini", # Override model
temperature=0.9 # Override temperature
)
# Assert
assert isinstance(result, LlmResult)
assert result.text == "Response with both overrides"
# Verify Azure OpenAI API was called with both overrides
call_args = mock_azure_client.chat.completions.create.call_args
assert call_args[1]['model'] == 'gpt-4o-mini' # Should use runtime override
assert call_args[1]['temperature'] == 0.9 # Should use runtime override
if __name__ == '__main__': if __name__ == '__main__':
pytest.main([__file__]) pytest.main([__file__])