""" 
Basic example of scraping pipeline using ScriptCreatorGraph
"""
import os
from dotenv import load_dotenv
from pydantic import BaseModel, Field
from typing import List
from scrapegraphai.graphs import ScriptCreatorGraph
from scrapegraphai.utils import prettify_exec_info

load_dotenv()

# ************************************************
# Define the schema for the graph
# ************************************************

class Project(BaseModel):
    title: str = Field(description="The title of the project")
    description: str = Field(description="The description of the project")

class Projects(BaseModel):
    projects: List[Project]

# ************************************************
# Define the configuration for the graph
# ************************************************

nemotron_key = os.getenv("NEMOTRON_APIKEY")

graph_config = {
    "llm": {
        "api_key": nemotron_key,
        "model": "nvidia/meta/llama3-70b-instruct",
    },
    "library": "beautifulsoup",
    "verbose": True,
}

# ************************************************
# Create the ScriptCreatorGraph instance and run it
# ************************************************

script_creator_graph = ScriptCreatorGraph(
    prompt="List me all the projects with their description.",
    # also accepts a string with the already downloaded HTML code
    source="https://perinim.github.io/projects",
    config=graph_config,
    schema=Projects
)

result = script_creator_graph.run()
print(result)

# ************************************************
# Get graph execution info
# ************************************************

graph_exec_info = script_creator_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))