fix: fix robot node
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This commit is contained in:
Marco Vinciguerra 2024-06-16 14:04:36 +02:00
parent a87702f107
commit 2419003999
3 changed files with 77 additions and 59 deletions

View File

@ -11,10 +11,15 @@ from scrapegraphai.nodes import RobotsNode
graph_config = { graph_config = {
"llm": { "llm": {
"model_name": "ollama/llama3", "model": "ollama/llama3",
"temperature": 0, "temperature": 0,
"streaming": True "streaming": True
}, },
"embeddings": {
"model": "ollama/nomic-embed-text",
"temperature": 0,
# "base_url": "http://localhost:11434", # set ollama URL arbitrarily
}
} }
# ************************************************ # ************************************************

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@ -111,11 +111,11 @@ class RobotsNode(BaseNode):
base_url = f"{parsed_url.scheme}://{parsed_url.netloc}" base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
loader = AsyncChromiumLoader(f"{base_url}/robots.txt") loader = AsyncChromiumLoader(f"{base_url}/robots.txt")
document = loader.load() document = loader.load()
if "ollama" in self.llm_model.model_name: if "ollama" in self.llm_model.model:
self.llm_model.model_name = self.llm_model.model_name.split("/")[-1] self.llm_model.model = self.llm_model.model.split("/")[-1]
model = self.llm_model.model_name.split("/")[-1] model = self.llm_model.model.split("/")[-1]
else: else:
model = self.llm_model.model_name model = self.llm_model.model
try: try:
agent = robots_dictionary[model] agent = robots_dictionary[model]
@ -146,4 +146,4 @@ class RobotsNode(BaseNode):
self.logger.warning("\033[32m(Scraping this website is allowed)\033[0m") self.logger.warning("\033[32m(Scraping this website is allowed)\033[0m")
state.update({self.output[0]: is_scrapable}) state.update({self.output[0]: is_scrapable})
return state return state

View File

@ -1,61 +1,74 @@
"""
Module for the tests
"""
import os
import pytest import pytest
from scrapegraphai.graphs import SmartScraperGraph from unittest.mock import MagicMock
from scrapegraphai.models import Ollama
from scrapegraphai.nodes import RobotsNode
@pytest.fixture @pytest.fixture
def sample_text(): def mock_llm_model():
""" mock_model = MagicMock()
Example of text fixture. mock_model.model = "ollama/llama3"
""" mock_model.__call__ = MagicMock(return_value=["yes"])
file_name = "inputs/plain_html_example.txt" return mock_model
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, file_name)
with open(file_path, 'r', encoding="utf-8") as file:
text = file.read()
return text
@pytest.fixture @pytest.fixture
def graph_config(): def robots_node(mock_llm_model):
""" return RobotsNode(
Configuration of the graph fixture. input="url",
""" output=["is_scrapable"],
return { node_config={"llm_model": mock_llm_model, "headless": False}
"llm": {
"model": "ollama/mistral",
"temperature": 0,
"format": "json",
"base_url": "http://localhost:11434",
},
"embeddings": {
"model": "ollama/nomic-embed-text",
"temperature": 0,
"base_url": "http://localhost:11434",
}
}
def test_scraping_pipeline(sample_text, graph_config):
"""
Test the SmartScraperGraph scraping pipeline.
"""
smart_scraper_graph = SmartScraperGraph(
prompt="List me all the news with their description.",
source=sample_text,
config=graph_config
) )
result = smart_scraper_graph.run() def test_robots_node_scrapable(robots_node):
state = {
"url": "https://perinim.github.io/robots.txt"
}
assert result is not None # Mocking AsyncChromiumLoader to return a fake robots.txt content
# Additional assertions to check the structure of the result robots_node.AsyncChromiumLoader = MagicMock(return_value=MagicMock(load=MagicMock(return_value="User-agent: *\nAllow: /")))
assert isinstance(result, dict) # Assuming the result is a dictionary
assert "news" in result # Assuming the result should contain a key "news" # Execute the node
assert "is_scrapable" in result result_state, result = robots_node.execute(state)
assert isinstance(result["is_scrapable"], bool)
assert result["is_scrapable"] is True # Check the updated state
# Ensure the execute method was called once assert result_state["is_scrapable"] == "yes"
mock_execute.assert_called_once_with(initial_state) assert result == ("is_scrapable", "yes")
def test_robots_node_not_scrapable(robots_node):
state = {
"url": "https://twitter.com/home"
}
# Mocking AsyncChromiumLoader to return a fake robots.txt content
robots_node.AsyncChromiumLoader = MagicMock(return_value=MagicMock(load=MagicMock(return_value="User-agent: *\nDisallow: /")))
# Mock the LLM response to return "no"
robots_node.llm_model.__call__.return_value = ["no"]
# Execute the node and expect a ValueError because force_scraping is False by default
with pytest.raises(ValueError):
robots_node.execute(state)
def test_robots_node_force_scrapable(robots_node):
state = {
"url": "https://twitter.com/home"
}
# Mocking AsyncChromiumLoader to return a fake robots.txt content
robots_node.AsyncChromiumLoader = MagicMock(return_value=MagicMock(load=MagicMock(return_value="User-agent: *\nDisallow: /")))
# Mock the LLM response to return "no"
robots_node.llm_model.__call__.return_value = ["no"]
# Set force_scraping to True
robots_node.force_scraping = True
# Execute the node
result_state, result = robots_node.execute(state)
# Check the updated state
assert result_state["is_scrapable"] == "no"
assert result == ("is_scrapable", "no")
if __name__ == "__main__":
pytest.main()