Scrapegraph-ai/tests/nodes/search_link_node_test.py
Marco Vinciguerra dc0a138a7e run pre commit
2025-01-12 16:35:31 +01:00

64 lines
2.0 KiB
Python

from unittest.mock import MagicMock, patch
import pytest
from langchain_community.chat_models import ChatOllama
from scrapegraphai.nodes import SearchLinkNode
@pytest.fixture
def setup():
"""
Setup the SearchLinkNode and initial state for testing.
"""
# Define the configuration for the graph
graph_config = {
"llm": {"model_name": "ollama/llama3", "temperature": 0, "streaming": True},
}
# Instantiate the LLM model with the configuration
llm_model = ChatOllama(graph_config["llm"])
# Define the SearchLinkNode with necessary configurations
search_link_node = SearchLinkNode(
input=["user_prompt", "parsed_content_chunks"],
output=["relevant_links"],
node_config={"llm_model": llm_model, "verbose": False},
)
# Define the initial state for the node
initial_state = {
"user_prompt": "Example user prompt",
"parsed_content_chunks": [
{"page_content": "Example page content 1"},
{"page_content": "Example page content 2"},
# Add more example page content dictionaries as needed
],
}
return search_link_node, initial_state
def test_search_link_node(setup):
"""
Test the SearchLinkNode execution.
"""
search_link_node, initial_state = setup
# Patch the execute method to avoid actual network calls and return a mock response
with patch.object(
SearchLinkNode,
"execute",
return_value={"relevant_links": ["http://example.com"]},
) as mock_execute:
result = search_link_node.execute(initial_state)
# Check if the result is not None
assert result is not None
# Additional assertion to check the returned value
assert "relevant_links" in result
assert isinstance(result["relevant_links"], list)
assert len(result["relevant_links"]) > 0
# Ensure the execute method was called once
mock_execute.assert_called_once_with(initial_state)