"""
Basic example of scraping pipeline using SmartScraper using Azure OpenAI Key
"""
import os
from dotenv import load_dotenv
from langchain_openai import AzureChatOpenAI
from langchain_openai import AzureOpenAIEmbeddings
from scrapegraphai.graphs import SmartScraperGraph
from scrapegraphai.utils import prettify_exec_info
load_dotenv()
llm_model_instance = AzureChatOpenAI(
openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],
azure_deployment=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"]
)
embedder_model_instance = AzureOpenAIEmbeddings(
azure_deployment=os.environ["AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME"],
openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],
)
graph_config = {
"llm": {"model_instance": llm_model_instance},
"embeddings": {"model_instance": embedder_model_instance}
}
smart_scraper_graph = SmartScraperGraph(
prompt="""List me all the events, with the following fields: company_name, event_name, event_start_date, event_start_time,
event_end_date, event_end_time, location, event_mode, event_category,
third_party_redirect, no_of_days,
time_in_hours, hosted_or_attending, refreshments_type,
registration_available, registration_link""",
source="https://www.hmhco.com/event",
config=graph_config
)
result = smart_scraper_graph.run()
print(result)
graph_exec_info = smart_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))