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