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scrapegraphai--scrapegraph-ai/tests/graphs/scrape_plain_text_mistral_test.py
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chore: import upstream snapshot with attribution
2026-07-13 12:18:10 +08:00

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Python

"""
Module for the tests
"""
import os
import pytest
from scrapegraphai.graphs import SmartScraperGraph
@pytest.fixture
def sample_text():
"""
Example of text fixture.
"""
file_name = "inputs/plain_html_example.txt"
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
def graph_config():
"""
Configuration of the graph fixture.
"""
return {
"llm": {
"model": "ollama/mistral",
"temperature": 0,
"format": "json",
"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()
assert result is not None
# Additional assertions to check the structure of the result can be added here
assert isinstance(result, dict) # Assuming the result is a dictionary
assert "news" in result # Assuming the result should contain a key "news"