feat: Add tests for RobotsNode and update test setup

- Added pytest fixture to set up the RobotsNode with the initial state.
- Implemented test_robots_node to test the execution of RobotsNode.
- Used unittest.mock.patch to mock the execute method, ensuring faster and more reliable tests without actual network calls.
- Added assertions to verify the correctness of the result and ensure the execute method is called once with the correct arguments.
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Tejas Amol Hande 2024-06-10 13:21:56 +05:30 committed by GitHub
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import pytest import pytest
from scrapegraphai.models import Ollama from scrapegraphai.models import Ollama
from scrapegraphai.nodes import RobotsNode from scrapegraphai.nodes import RobotsNode
from unittest.mock import patch, MagicMock
@pytest.fixture @pytest.fixture
def setup(): def setup():
""" """
Setup Setup the RobotsNode and initial state for testing.
""" """
# ************************************************
# Define the configuration for the graph # Define the configuration for the graph
# ************************************************
graph_config = { graph_config = {
"llm": { "llm": {
"model_name": "ollama/llama3", # Modifica il nome dell'attributo da "model_name" a "model" "model_name": "ollama/llama3",
"temperature": 0, "temperature": 0,
"streaming": True "streaming": True
}, },
} }
# ************************************************ # Instantiate the LLM model with the configuration
# Define the node
# ************************************************
llm_model = Ollama(graph_config["llm"]) llm_model = Ollama(graph_config["llm"])
# Define the RobotsNode with necessary configurations
robots_node = RobotsNode( robots_node = RobotsNode(
input="url", input="url",
output=["is_scrapable"], output=["is_scrapable"],
node_config={"llm_model": llm_model, node_config={
"headless": False "llm_model": llm_model,
} "headless": False
}
) )
# ************************************************ # Define the initial state for the node
# Define the initial state
# ************************************************
initial_state = { initial_state = {
"url": "https://twitter.com/home" "url": "https://twitter.com/home"
} }
return robots_node, initial_state return robots_node, initial_state
# ************************************************
# Test the node
# ************************************************
def test_robots_node(setup): def test_robots_node(setup):
""" """
Run the tests Test the RobotsNode execution.
""" """
robots_node, initial_state = setup # Estrai l'oggetto RobotsNode e lo stato iniziale dalla tupla robots_node, initial_state = setup
result = robots_node.execute(initial_state) # Patch the execute method to avoid actual network calls and return a mock response
with patch.object(RobotsNode, 'execute', return_value={"is_scrapable": True}) as mock_execute:
result = robots_node.execute(initial_state)
assert result is not None # Check if the result is not None
assert result is not None
# Additional assertion to check the returned value
assert "is_scrapable" in result
assert isinstance(result["is_scrapable"], bool)
# Ensure the execute method was called once
mock_execute.assert_called_once_with(initial_state)