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b1198f0 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | import importlib.util
import sys
import types
import unittest
from pathlib import Path
ROOT = Path(__file__).resolve().parents[2]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
class _DummyLogger:
def info(self, *_args, **_kwargs):
return None
class _DummyStateGraph:
def __init__(self, *args, **kwargs):
pass
def add_node(self, *args, **kwargs):
return None
def add_conditional_edges(self, *args, **kwargs):
return None
def add_edge(self, *args, **kwargs):
return None
def set_entry_point(self, *args, **kwargs):
return None
def compile(self):
return self
class DummyMessage:
def __init__(self, message_type, content):
self.type = message_type
self.content = content
def _load_graph_module():
langgraph = types.ModuleType("langgraph")
graph_module = types.ModuleType("langgraph.graph")
graph_module.StateGraph = _DummyStateGraph
graph_module.END = "END"
langgraph.graph = graph_module
prebuilt_module = types.ModuleType("langgraph.prebuilt")
prebuilt_module.ToolNode = lambda tools: tools
langchain_core = types.ModuleType("langchain_core")
messages_module = types.ModuleType("langchain_core.messages")
class AIMessage:
pass
class ToolMessage:
pass
messages_module.AIMessage = AIMessage
messages_module.ToolMessage = ToolMessage
runnables_module = types.ModuleType("langchain_core.runnables")
config_module = types.ModuleType("langchain_core.runnables.config")
config_module.RunnableConfig = dict
runnables_module.config = config_module
langchain_core.messages = messages_module
langchain_core.runnables = runnables_module
sys.modules.setdefault("langgraph", langgraph)
sys.modules.setdefault("langgraph.graph", graph_module)
sys.modules.setdefault("langgraph.prebuilt", prebuilt_module)
sys.modules.setdefault("langchain_core", langchain_core)
sys.modules.setdefault("langchain_core.messages", messages_module)
sys.modules.setdefault("langchain_core.runnables", runnables_module)
sys.modules.setdefault("langchain_core.runnables.config", config_module)
dummy_tools_module = types.ModuleType("src.tools.web_tools")
dummy_tools_module.web_search_tool = object()
captured = {}
class DummySaveFHIR:
def invoke(self, payload):
captured.update(payload)
return "saved"
dummy_fhir_module = types.ModuleType("src.tools.fhir_memory")
dummy_fhir_module.save_chat_as_fhir = DummySaveFHIR()
logger_module = types.ModuleType("src.utils.logger")
logger_module.setup_logger = lambda _name: _DummyLogger()
dietary_module = types.ModuleType("src.tools.dietary_tools")
dietary_module.page_indexed_retrieval = object()
dietary_module.search_guidelines = object()
dietary_module.get_nutritional_data = object()
agent_instances_module = types.ModuleType("src.agents.agent_instances")
agent_instances_module.role_classifier = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.patient_llm = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.caregiver_llm = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.validator = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.safety_check = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.intent_classifier = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.diagnosis_assist = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.treatment_assist = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.monitoring_assist = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.general_assist = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.output_merger = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.research_agent = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
agent_instances_module.dietary_assist = types.SimpleNamespace(run=lambda *_args, **_kwargs: None)
sys.modules.setdefault("src.tools.web_tools", dummy_tools_module)
sys.modules.setdefault("src.tools.fhir_memory", dummy_fhir_module)
sys.modules.setdefault("src.utils.logger", logger_module)
sys.modules.setdefault("src.tools.dietary_tools", dietary_module)
sys.modules.setdefault("src.agents.agent_instances", agent_instances_module)
spec = importlib.util.spec_from_file_location("graph_under_test", ROOT / "backend" / "src" / "core" / "graph.py")
module = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = module
spec.loader.exec_module(module)
return module, captured
class TestSessionPersistence(unittest.IsolatedAsyncioTestCase):
async def test_persistence_node_passes_session_id_to_fhir(self):
graph, captured = _load_graph_module()
state = {
"messages": [
DummyMessage("human", "What is my glucose trend?"),
DummyMessage("ai", "Your glucose trend is stable."),
],
"user_role": "patient",
"patient_id": "patient-123",
"session_id": "session-456",
}
result = await graph.persistence_node(state)
self.assertEqual(captured["patient_id"], "patient-123")
self.assertEqual(captured["session_id"], "session-456")
self.assertEqual(captured["messages"][0]["role"], "user")
self.assertEqual(captured["messages"][1]["role"], "assistant")
self.assertEqual(result["metrics"][0]["agent"], "PersistenceNode")
if __name__ == "__main__":
unittest.main()
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