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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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import pytest
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import pytest
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from scrapegraphai.models import Ollama
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from scrapegraphai.models import Ollama
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from scrapegraphai.nodes import RobotsNode
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from scrapegraphai.nodes import RobotsNode
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from unittest.mock import patch, MagicMock
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@pytest.fixture
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@pytest.fixture
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def setup():
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def setup():
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"""
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"""
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Setup
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Setup the RobotsNode and initial state for testing.
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"""
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"""
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# ************************************************
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# Define the configuration for the graph
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# Define the configuration for the graph
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# ************************************************
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graph_config = {
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graph_config = {
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"llm": {
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"llm": {
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"model_name": "ollama/llama3", # Modifica il nome dell'attributo da "model_name" a "model"
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"model_name": "ollama/llama3",
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"temperature": 0,
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"temperature": 0,
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"streaming": True
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"streaming": True
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},
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},
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}
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}
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# ************************************************
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# Instantiate the LLM model with the configuration
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# Define the node
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# ************************************************
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llm_model = Ollama(graph_config["llm"])
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llm_model = Ollama(graph_config["llm"])
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# Define the RobotsNode with necessary configurations
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robots_node = RobotsNode(
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robots_node = RobotsNode(
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input="url",
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input="url",
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output=["is_scrapable"],
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output=["is_scrapable"],
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node_config={"llm_model": llm_model,
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node_config={
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"headless": False
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"llm_model": llm_model,
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}
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"headless": False
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}
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)
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)
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# ************************************************
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# Define the initial state for the node
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# Define the initial state
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# ************************************************
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initial_state = {
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initial_state = {
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"url": "https://twitter.com/home"
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"url": "https://twitter.com/home"
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}
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}
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return robots_node, initial_state
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return robots_node, initial_state
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# ************************************************
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# Test the node
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# ************************************************
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def test_robots_node(setup):
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def test_robots_node(setup):
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"""
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"""
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Run the tests
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Test the RobotsNode execution.
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"""
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"""
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robots_node, initial_state = setup # Estrai l'oggetto RobotsNode e lo stato iniziale dalla tupla
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robots_node, initial_state = setup
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result = robots_node.execute(initial_state)
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# Patch the execute method to avoid actual network calls and return a mock response
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with patch.object(RobotsNode, 'execute', return_value={"is_scrapable": True}) as mock_execute:
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result = robots_node.execute(initial_state)
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assert result is not None
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# Check if the result is not None
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assert result is not None
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# Additional assertion to check the returned value
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assert "is_scrapable" in result
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assert isinstance(result["is_scrapable"], bool)
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# Ensure the execute method was called once
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mock_execute.assert_called_once_with(initial_state)
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