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Fix/sys integration issues (#494)

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* Fix integration issues

* Fix query defaults

* Fix tests
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cybermaggedon 2025-09-05 08:38:15 +01:00 • committed by GitHub
parent ed0e02791d
commit 50c37407c5
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6 changed files with 341 additions and 133 deletions
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93
tests/integration/test_nlp_query_integration.py
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@ -131,15 +131,18 @@ class TestNLPQueryServiceIntegration:
)
# Set up mock to return different responses for each call
integration_processor.client.return_value.request = AsyncMock(
# Mock the flow context to return prompt service responses
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
flow.side_effect = lambda service_name: prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act - Process the message
await integration_processor.on_message(msg, consumer, flow)
# Assert - Verify the complete pipeline
assert integration_processor.client.return_value.request.call_count == 2
assert prompt_service.request.call_count == 2
flow_response.send.assert_called_once()
# Verify response structure and content
@ -188,9 +191,12 @@ class TestNLPQueryServiceIntegration:
error=None
)
integration_processor.client.return_value.request = AsyncMock(
# Mock the flow context to return prompt service responses
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
flow.side_effect = lambda service_name: prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act
await integration_processor.on_message(msg, consumer, flow)
@ -255,9 +261,12 @@ class TestNLPQueryServiceIntegration:
error=None
)
integration_processor.client.return_value.request = AsyncMock(
# Mock the flow context to return prompt service responses
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
flow.side_effect = lambda service_name: prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act
await integration_processor.on_message(msg, consumer, flow)
@ -293,9 +302,12 @@ class TestNLPQueryServiceIntegration:
error=Error(type="template-not-found", message="Schema selection template not available")
)
integration_processor.client.return_value.request = AsyncMock(
# Mock the flow context to return prompt service error response
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
return_value=phase1_error_response
)
flow.side_effect = lambda service_name: prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act
await integration_processor.on_message(msg, consumer, flow)
@ -350,9 +362,12 @@ class TestNLPQueryServiceIntegration:
error=None
)
custom_processor.client.return_value.request = AsyncMock(
# Mock flow context to return prompt service responses
mock_prompt_service = AsyncMock()
mock_prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
flow.side_effect = lambda service_name: mock_prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act
await custom_processor.on_message(msg, consumer, flow)
@ -362,7 +377,7 @@ class TestNLPQueryServiceIntegration:
assert custom_processor.graphql_generation_template == "custom-graphql-generator"
# Verify the calls were made
assert custom_processor.client.return_value.request.call_count == 2
assert mock_prompt_service.request.call_count == 2
@pytest.mark.asyncio
async def test_large_schema_set_integration(self, integration_processor):
@ -410,9 +425,12 @@ class TestNLPQueryServiceIntegration:
error=None
)
integration_processor.client.return_value.request = AsyncMock(
# Mock the flow context to return prompt service responses
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
flow.side_effect = lambda service_name: prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act
await integration_processor.on_message(msg, consumer, flow)
@ -451,27 +469,36 @@ class TestNLPQueryServiceIntegration:
messages.append(msg)
flows.append(flow)
# Mock responses for all requests
mock_responses = []
for i in range(10): # 2 calls per request (phase1 + phase2)
if i % 2 == 0: # Phase 1 responses
mock_responses.append(PromptResponse(
text=json.dumps(["customers"]),
error=None
))
else: # Phase 2 responses
mock_responses.append(PromptResponse(
text=json.dumps({
"query": f"query {{ customers {{ id name }} }}",
"variables": {},
"confidence": 0.9
}),
error=None
))
integration_processor.client.return_value.request = AsyncMock(
side_effect=mock_responses
)
# Mock responses for all requests - create individual prompt services for each flow
prompt_services = []
for i in range(5): # 5 concurrent requests
phase1_response = PromptResponse(
text=json.dumps(["customers"]),
error=None
)
phase2_response = PromptResponse(
text=json.dumps({
"query": f"query {{ customers {{ id name }} }}",
"variables": {},
"confidence": 0.9
}),
error=None
)
# Create a prompt service for this request
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
prompt_services.append(prompt_service)
# Set up the flow for this request
flow_response = flows[i].return_value
flows[i].side_effect = lambda service_name, ps=prompt_service, fr=flow_response: (
ps if service_name == "prompt-request" else
fr if service_name == "response" else
AsyncMock()
)
# Act - Process all messages concurrently
import asyncio
@ -485,7 +512,8 @@ class TestNLPQueryServiceIntegration:
await asyncio.gather(*tasks)
# Assert - All requests should be processed
assert integration_processor.client.return_value.request.call_count == 10
total_calls = sum(ps.request.call_count for ps in prompt_services)
assert total_calls == 10 # 2 calls per request (phase1 + phase2)
for flow in flows:
flow.return_value.send.assert_called_once()
@ -518,9 +546,12 @@ class TestNLPQueryServiceIntegration:
error=None
)
integration_processor.client.return_value.request = AsyncMock(
# Mock the flow context to return prompt service responses
prompt_service = AsyncMock()
prompt_service.request = AsyncMock(
side_effect=[phase1_response, phase2_response]
)
flow.side_effect = lambda service_name: prompt_service if service_name == "prompt-request" else flow_response if service_name == "response" else AsyncMock()
# Act
import time