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scrapegraphai--scrapegraph-ai/tests/graphs/smart_scraper_multi_lite_graph_openai_test.py
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chore: import upstream snapshot with attribution
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Python

"""
Module for testing the smart scraper class
"""
import os
import pytest
from dotenv import load_dotenv
from scrapegraphai.graphs import SmartScraperMultiLiteGraph
load_dotenv()
@pytest.fixture
def graph_config():
"""Configuration of the graph"""
openai_key = os.getenv("OPENAI_APIKEY")
return {
"llm": {
"api_key": openai_key,
"model": "openai/gpt-3.5-turbo",
},
"verbose": True,
"headless": False,
}
def test_scraping_pipeline(graph_config):
"""Start of the scraping pipeline"""
smart_scraper_multi_lite_graph = SmartScraperMultiLiteGraph(
prompt="Who is ?",
source=["https://perinim.github.io/", "https://perinim.github.io/cv/"],
config=graph_config,
)
result = smart_scraper_multi_lite_graph.run()
assert result is not None
assert isinstance(result, dict)
def test_get_execution_info(graph_config):
"""Get the execution info"""
smart_scraper_multi_lite_graph = SmartScraperMultiLiteGraph(
prompt="Who is ?",
source=["https://perinim.github.io/", "https://perinim.github.io/cv/"],
config=graph_config,
)
smart_scraper_multi_lite_graph.run()
graph_exec_info = smart_scraper_multi_lite_graph.get_execution_info()
assert graph_exec_info is not None