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""" | ||
Module for testing the scrape graph class | ||
""" | ||
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import os | ||
import pytest | ||
import pandas as pd | ||
from dotenv import load_dotenv | ||
from scrapegraphai.graphs import ScrapeGraph | ||
from scrapegraphai.utils import prettify_exec_info | ||
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load_dotenv() | ||
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@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, | ||
} | ||
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def test_scraping_pipeline(graph_config): | ||
"""Start of the scraping pipeline""" | ||
scrape_graph = ScrapeGraph( | ||
source="https://perinim.github.io/projects/", | ||
config=graph_config, | ||
) | ||
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result = scrape_graph.run() | ||
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assert result is not None | ||
assert isinstance(result, list) | ||
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def test_get_execution_info(graph_config): | ||
"""Get the execution info""" | ||
scrape_graph = ScrapeGraph( | ||
source="https://perinim.github.io/projects/", | ||
config=graph_config, | ||
) | ||
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scrape_graph.run() | ||
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graph_exec_info = scrape_graph.get_execution_info() | ||
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assert graph_exec_info is not None |