from src.services.utils import *
from src.services.processor import *

def process_input(data):
    prompt = set_prompt(data.problem)
    constraints = retrieve_constraints(prompt)
    constraints_stemmed = stem(constraints, "constraints")
    save_dataframe(constraints_stemmed, "constraints_stemmed.xlsx")
    df = load_technologies()
    global_tech, keys, original_tech = preprocess_tech_data(df)
    save_dataframe(global_tech, "global_tech.xlsx")
    result_similarities, matrix = get_contrastive_similarities(global_tech, constraints_stemmed)
    save_to_pickle(result_similarities)
    best_combinations = find_best_list_combinations(constraints_stemmed,global_tech, matrix)
    best_technologies_id = select_technologies(best_combinations)
    best_technologies = get_technologies_by_id(best_technologies_id,global_tech)
    return best_technologies