wehub-resource-sync
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
import unittest
|
|
|
|
from langchain_ollama import ChatOllama
|
|
|
|
from scrapegraphai.nodes import SearchInternetNode
|
|
|
|
|
|
class TestSearchInternetNode(unittest.TestCase):
|
|
def setUp(self):
|
|
# Configuration for the graph
|
|
self.graph_config = {
|
|
"llm": {"model": "llama3", "temperature": 0, "streaming": True},
|
|
"search_engine": "google",
|
|
"max_results": 3,
|
|
"verbose": True,
|
|
}
|
|
|
|
# Define the model
|
|
self.llm_model = ChatOllama(self.graph_config["llm"])
|
|
|
|
# Initialize the SearchInternetNode
|
|
self.search_node = SearchInternetNode(
|
|
input="user_input",
|
|
output=["search_results"],
|
|
node_config={
|
|
"llm_model": self.llm_model,
|
|
"search_engine": self.graph_config["search_engine"],
|
|
"max_results": self.graph_config["max_results"],
|
|
"verbose": self.graph_config["verbose"],
|
|
},
|
|
)
|
|
|
|
def test_execute_search_node(self):
|
|
# Initial state
|
|
state = {"user_input": "What is the capital of France?"}
|
|
|
|
# Expected output
|
|
expected_output = {
|
|
"user_input": "What is the capital of France?",
|
|
"search_results": [
|
|
"https://en.wikipedia.org/wiki/Paris",
|
|
"https://en.wikipedia.org/wiki/France",
|
|
"https://en.wikipedia.org/wiki/%C3%8Ele-de-France",
|
|
],
|
|
}
|
|
|
|
# Execute the node
|
|
result = self.search_node.execute(state)
|
|
|
|
# Assert the results
|
|
self.assertEqual(result, expected_output)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|