import re
from _arango import arango
from _llm import LLM
from pprint import pprint
from pprint import pprint
from langchain_text_splitters import CharacterTextSplitter
import multiprocessing





if __name__ == "__main__":
    db = arango.db

    q = 'for doc in interrogations return doc'
    interrogations = list(db.aql.execute(q))

    with multiprocessing.Pool() as pool:
        results = pool.map(process_interrogation, interrogations)