Feature/gn llm refactoring (#147)

* refactor code for processing response from fahamu client

* Add tests for gn-llm

1 files changed, 97 insertions, 0 deletions

diff --git a/tests/unit/test_llm.py b/tests/unit/test_llm.py
new file mode 100644
index 0000000..a29190a
--- /dev/null
+++ b/tests/unit/test_llm.py
@@ -0,0 +1,97 @@
+"""Test cases for procedures defined in llms module"""
+import pytest
+from dataclasses import dataclass
+from gn3.llms.process import get_gnqa
+from gn3.llms.process import parse_context
+
+
+@pytest.fixture
+def context_data():
+    return {
+        "doc1": [{"text": "Summary 1"}, {"text": "Summary 2"}],
+        "doc2": [{"text": "Summary 3"}, {"text": "Summary 4"}],
+    }
+
+
+@pytest.mark.unit_test
+def test_parse_context(context_data):
+    def mock_get_info(doc_id):
+        return f"Info for {doc_id}"
+
+    def mock_format_bib(doc_info):
+        return f"Formatted Bibliography: {doc_info}"
+
+    parsed_result = parse_context(context_data, mock_get_info, mock_format_bib)
+
+    expected_result = [
+        {
+            "doc_id": "doc1",
+            "bibInfo": "Formatted Bibliography: Info for doc1",
+            "comboTxt": "\tSummary 1\tSummary 2",
+        },
+        {
+            "doc_id": "doc2",
+            "bibInfo": "Formatted Bibliography: Info for doc2",
+            "comboTxt": "\tSummary 3\tSummary 4",
+        },
+    ]
+
+    assert parsed_result == expected_result
+
+@dataclass(frozen=True)
+class MockResponse:
+    text: str
+
+    def __getattr__(self, name: str):
+        return self.__dict__[f"_{name}"]
+
+class MockGeneNetworkQAClient:
+    def __init__(self, session, api_key):
+        pass
+
+    def ask(self, query, auth_token):
+        # Simulate the ask method
+        return MockResponse("Mock response"), "F400995EAFE104EA72A5927CE10C73B7"
+
+    def get_answer(self, task_id):
+        # Simulate the get_answer method
+        return MockResponse("Mock answer"), 1
+
+
+def mock_filter_response_text(text):
+    """ method to simulate the filterResponseText method"""
+    return {"data": {"answer": "Mock answer for what is a gene", "context": {}}}
+
+
+def mock_parse_context(context, get_info_func, format_bib_func):
+    """method to simulate the  parse context method"""
+    return []
+
+
+@pytest.mark.unit_test
+def test_get_gnqa(monkeypatch):
+    monkeypatch.setattr(
+        "gn3.llms.process.GeneNetworkQAClient",
+        MockGeneNetworkQAClient
+    )
+
+    monkeypatch.setattr(
+        'gn3.llms.process.filter_response_text',
+        mock_filter_response_text
+    )
+    monkeypatch.setattr(
+        'gn3.llms.process.parse_context',
+        mock_parse_context
+    )
+
+    query = "What is a gene"
+    auth_token = "test_token"
+    result = get_gnqa(query, auth_token)
+
+    expected_result = (
+        "F400995EAFE104EA72A5927CE10C73B7",
+        'Mock answer for what is a gene',
+        []
+    )
+
+    assert result == expected_result