wehub-resource-sync
81 lines
1.9 KiB
Python
81 lines
1.9 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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from dotenv import load_dotenv
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from pydantic import BaseModel
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from scrapegraphai.graphs import SmartScraperGraph
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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": "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_graph = SmartScraperGraph(
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prompt="List me all the projects with their description.",
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source="https://perinim.github.io/projects/",
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config=graph_config,
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)
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result = smart_scraper_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_graph = SmartScraperGraph(
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prompt="List me all the projects with their description.",
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source="https://perinim.github.io/projects/",
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config=graph_config,
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)
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smart_scraper_graph.run()
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graph_exec_info = smart_scraper_graph.get_execution_info()
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assert graph_exec_info is not None
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def test_get_execution_info_with_schema(graph_config):
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"""Get the execution info with schema"""
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class ProjectSchema(BaseModel):
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title: str
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description: str
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class ProjectListSchema(BaseModel):
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projects: list[ProjectSchema]
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smart_scraper_graph = SmartScraperGraph(
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prompt="List me all the projects with their description.",
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source="https://perinim.github.io/projects/",
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config=graph_config,
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schema=ProjectListSchema,
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)
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smart_scraper_graph.run()
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graph_exec_info = smart_scraper_graph.get_execution_info()
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assert graph_exec_info is not None
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