More tests

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Alex committed 2026-03-31 00:07:19 +01:00
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@@ -330,3 +330,180 @@ def test_execute_agent_node_raises_when_schema_set_and_response_not_json(monkeyp
match="Structured output was expected but response was not valid JSON",
):
list(engine._execute_agent_node(node))
# ---------------------------------------------------------------------------
# Coverage — additional uncovered lines: 204, 213-215, 223, 283-284, 289,
# 355, 375
# ---------------------------------------------------------------------------
@pytest.mark.unit
class TestWorkflowEngineAdditionalCoverage:
def test_agent_node_prompt_template_empty_uses_query(self, monkeypatch):
"""Cover line 204: prompt_template is empty, uses state query."""
engine = create_engine()
engine.state["query"] = "What is the answer?"
node = create_agent_node(node_id="n1")
node.config["prompt_template"] = ""
node_events = [{"answer": "42"}]
monkeypatch.setattr(
WorkflowNodeAgentFactory,
"create",
staticmethod(lambda **kwargs: StubNodeAgent(node_events)),
)
monkeypatch.setattr(
"application.core.model_utils.get_api_key_for_provider",
lambda _: None,
)
monkeypatch.setattr(
"application.core.model_utils.get_provider_from_model_id",
lambda _: None,
)
monkeypatch.setattr(
"application.core.model_utils.get_model_capabilities",
lambda _: None,
)
list(engine._execute_agent_node(node))
assert engine.state["node_n1_output"] == "42"
def test_agent_node_model_config_override(self, monkeypatch):
"""Cover lines 213-215: node_config with model_id and llm_name."""
engine = create_engine()
engine.state["query"] = "test"
node = create_agent_node(node_id="n2")
node.config["model_id"] = "gpt-4o"
node.config["llm_name"] = "openai"
node_events = [{"answer": "result"}]
monkeypatch.setattr(
WorkflowNodeAgentFactory,
"create",
staticmethod(lambda **kwargs: StubNodeAgent(node_events)),
)
monkeypatch.setattr(
"application.core.model_utils.get_api_key_for_provider",
lambda _: "key",
)
monkeypatch.setattr(
"application.core.model_utils.get_provider_from_model_id",
lambda _: "openai",
)
monkeypatch.setattr(
"application.core.model_utils.get_model_capabilities",
lambda _: None,
)
list(engine._execute_agent_node(node))
assert engine.state["node_n2_output"] == "result"
def test_agent_node_unsupported_structured_output_raises(self, monkeypatch):
"""Cover line 223: model does not support structured output raises."""
engine = create_engine()
engine.state["query"] = "test"
node = create_agent_node(
node_id="n3",
json_schema={"type": "object", "properties": {"a": {"type": "string"}}},
)
node.config["model_id"] = "model-no-struct"
monkeypatch.setattr(
"application.core.model_utils.get_api_key_for_provider",
lambda _: "key",
)
monkeypatch.setattr(
"application.core.model_utils.get_provider_from_model_id",
lambda _: "openai",
)
monkeypatch.setattr(
"application.core.model_utils.get_model_capabilities",
lambda _: {"supports_structured_output": False},
)
with pytest.raises(ValueError, match="does not support structured output"):
list(engine._execute_agent_node(node))
def test_structured_output_with_structured_response(self, monkeypatch):
"""Cover lines 283-284: structured response parsed and validated."""
engine = create_engine()
engine.state["query"] = "test"
node = create_agent_node(
node_id="n4",
output_variable="result",
json_schema={"type": "object", "properties": {"key": {"type": "string"}}},
)
node_events = [
{"answer": '{"key": "val"}', "structured": True},
]
monkeypatch.setattr(
WorkflowNodeAgentFactory,
"create",
staticmethod(lambda **kwargs: StubNodeAgent(node_events)),
)
monkeypatch.setattr(
"application.core.model_utils.get_api_key_for_provider",
lambda _: None,
)
monkeypatch.setattr(
"application.core.model_utils.get_provider_from_model_id",
lambda _: None,
)
monkeypatch.setattr(
"application.core.model_utils.get_model_capabilities",
lambda _: {"supports_structured_output": True},
)
list(engine._execute_agent_node(node))
assert engine.state["result"] == {"key": "val"}
def test_json_schema_no_structured_flag_parses_response(self, monkeypatch):
"""Cover line 289: json_schema set but no structured flag; non-JSON response raises."""
engine = create_engine()
engine.state["query"] = "test"
node = create_agent_node(
node_id="n5",
json_schema={"type": "object", "properties": {"x": {"type": "string"}}},
)
node_events = [{"answer": "not valid json"}]
monkeypatch.setattr(
WorkflowNodeAgentFactory,
"create",
staticmethod(lambda **kwargs: StubNodeAgent(node_events)),
)
monkeypatch.setattr(
"application.core.model_utils.get_api_key_for_provider",
lambda _: None,
)
monkeypatch.setattr(
"application.core.model_utils.get_provider_from_model_id",
lambda _: None,
)
monkeypatch.setattr(
"application.core.model_utils.get_model_capabilities",
lambda _: {"supports_structured_output": True},
)
with pytest.raises(
ValueError,
match="Structured output was expected but response was not valid JSON",
):
list(engine._execute_agent_node(node))
def test_parse_structured_output_empty_string(self):
"""Cover line 355: _parse_structured_output with empty string."""
engine = create_engine()
success, result = engine._parse_structured_output("")
assert success is False
assert result is None
def test_normalize_node_json_schema_invalid(self):
"""Cover line 375: _normalize_node_json_schema with invalid schema raises."""
engine = create_engine()
# A non-dict schema triggers JsonSchemaValidationError
with pytest.raises(ValueError, match="Invalid JSON schema"):
engine._normalize_node_json_schema("not_a_dict", "TestNode")