""" 
Basic example of scraping pipeline using SmartScraper
"""

import os
from dotenv import load_dotenv
from scrapegraphai.graphs import SmartScraperGraph
from scrapegraphai.utils import convert_to_csv, convert_to_json

load_dotenv()
openai_key = os.getenv("OPENAI_APIKEY")

# Define the configuration for the graph
graph_config = {
    "llm": {
        "api_key": openai_key,
        "model": "gpt-3.5-turbo",
    },
}

# Create the SmartScraperGraph instance
smart_scraper_graph = SmartScraperGraph(
    prompt="List me all the news with their description.",
    # also accepts a string with the already downloaded HTML code
    file_source="https://www.wired.com",
    config=graph_config
)

result = smart_scraper_graph.run()
print(result)

# Save to json and csv
convert_to_csv(result, "result")
convert_to_json(result, "result")