test_load_response_with_actual_content_is_not_skipped() — langchain Function Reference
Architecture documentation for the test_load_response_with_actual_content_is_not_skipped() function in test_chat_models.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD db98d6ee_7f93_7855_884d_12c9cca8f232["test_load_response_with_actual_content_is_not_skipped()"] 9c4a2438_9884_cbb0_3cf5_de8827531653["test_chat_models.py"] db98d6ee_7f93_7855_884d_12c9cca8f232 -->|defined in| 9c4a2438_9884_cbb0_3cf5_de8827531653 style db98d6ee_7f93_7855_884d_12c9cca8f232 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/ollama/tests/unit_tests/test_chat_models.py lines 286–312
def test_load_response_with_actual_content_is_not_skipped(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Test load responses with actual content are NOT skipped and log no warning."""
load_with_content_response = [
{
"model": "test-model",
"created_at": "2025-01-01T00:00:00.000000000Z",
"done": True,
"done_reason": "load",
"message": {"role": "assistant", "content": "This is actual content"},
}
]
with patch("langchain_ollama.chat_models.Client") as mock_client_class:
mock_client = MagicMock()
mock_client_class.return_value = mock_client
mock_client.chat.return_value = load_with_content_response
llm = ChatOllama(model="test-model")
with caplog.at_level(logging.WARNING):
result = llm.invoke([HumanMessage("Hello")])
assert result.content == "This is actual content"
assert result.response_metadata.get("done_reason") == "load"
assert not caplog.text
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Frequently Asked Questions
What does test_load_response_with_actual_content_is_not_skipped() do?
test_load_response_with_actual_content_is_not_skipped() is a function in the langchain codebase, defined in libs/partners/ollama/tests/unit_tests/test_chat_models.py.
Where is test_load_response_with_actual_content_is_not_skipped() defined?
test_load_response_with_actual_content_is_not_skipped() is defined in libs/partners/ollama/tests/unit_tests/test_chat_models.py at line 286.
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