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c4f5f25 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 | """Tests for workflow module."""
import pytest
from unittest.mock import Mock, patch, AsyncMock
from src.workflow import ClinicalInsightGuild
from src.state import GuildState
from src.config import ExplanationSOP
class TestWorkflow:
"""Test workflow creation and execution."""
def test_create_workflow(self):
"""Test workflow creation."""
workflow = ClinicalInsightGuild()
assert workflow is not None
assert hasattr(workflow, 'workflow')
assert hasattr(workflow, 'run')
@patch('src.workflow.get_all_retrievers')
def test_workflow_initialization(self, mock_retrievers):
"""Test workflow initialization."""
mock_retrievers.return_value = {
"disease_explainer": Mock(),
"biomarker_linker": Mock(),
"clinical_guidelines": Mock(),
}
workflow = ClinicalInsightGuild()
assert workflow is not None
mock_retrievers.assert_called_once()
@patch('src.workflow.get_all_retrievers')
def test_analyze_biomarkers_workflow(self, mock_retrievers):
"""Test biomarker analysis workflow execution."""
mock_retrievers.return_value = {
"disease_explainer": Mock(),
"biomarker_linker": Mock(),
"clinical_guidelines": Mock(),
}
workflow = ClinicalInsightGuild()
from src.state import PatientInput
patient_input = PatientInput(
biomarkers={"Glucose": 200, "HbA1c": 9.0},
patient_context={},
model_prediction={"disease": "Diabetes", "confidence": 0.9}
)
# Mock the graph execution
with patch.object(workflow.workflow, 'invoke') as mock_invoke:
mock_invoke.return_value = {
"status": "success",
"prediction": {"disease": "Diabetes", "confidence": 0.9},
"analysis": {"biomarker_flags": []},
"agent_outputs": [],
}
result = workflow.run(patient_input)
assert "status" in result
assert "prediction" in result
assert "analysis" in result
mock_invoke.assert_called_once()
class TestClinicalInsightGuild:
"""Test ClinicalInsightGuild class."""
@patch('src.workflow.get_all_retrievers')
def test_workflow_structure(self, mock_retrievers):
"""Test workflow structure and nodes."""
mock_retrievers.return_value = {
"disease_explainer": Mock(),
"biomarker_linker": Mock(),
"clinical_guidelines": Mock(),
}
workflow = ClinicalInsightGuild()
# Verify workflow has required attributes
assert hasattr(workflow, 'workflow')
assert hasattr(workflow, 'run')
# run_stream may not exist
@patch('src.workflow.get_all_retrievers')
def test_workflow_with_empty_biomarkers(self, mock_retrievers):
"""Test workflow behavior with empty biomarkers."""
mock_retrievers.return_value = {
"disease_explainer": Mock(),
"biomarker_linker": Mock(),
"clinical_guidelines": Mock(),
}
workflow = ClinicalInsightGuild()
from src.state import PatientInput
patient_input = PatientInput(
biomarkers={},
patient_context={},
model_prediction={"disease": "Unknown", "confidence": 0.0}
)
# Mock the graph execution
with patch.object(workflow.workflow, 'invoke') as mock_invoke:
mock_invoke.return_value = {
"status": "error",
"error": "No biomarkers provided",
}
result = workflow.run(patient_input)
assert result["status"] == "error"
@patch('src.workflow.get_all_retrievers')
def test_workflow_stream_execution(self, mock_retrievers):
"""Test workflow streaming execution."""
mock_retrievers.return_value = {
"disease_explainer": Mock(),
"biomarker_linker": Mock(),
"clinical_guidelines": Mock(),
}
workflow = ClinicalInsightGuild()
from src.state import PatientInput
patient_input = PatientInput(
biomarkers={"Glucose": 200},
patient_context={},
model_prediction={"disease": "Diabetes", "confidence": 0.9}
)
# Mock the graph streaming
with patch.object(workflow.workflow, 'stream') as mock_stream:
mock_stream.return_value = [
{"node": "extractor", "output": {"patient_biomarkers": {"Glucose": 200}}},
{"node": "analyzer", "output": {"flags": []}},
{"node": "synthesizer", "output": {"summary": "Test result"}},
]
# Check if run_stream exists
if hasattr(workflow, 'run_stream'):
results = list(workflow.run_stream(patient_input))
assert len(results) == 3
assert all("node" in result for result in results)
assert all("output" in result for result in results)
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