import logging
from typing import List, Dict
from graph_pre_processing import pre_processing_g1, pre_processing_g2
from graph_processing import processing_g1, processing_g2
from graph_post_processing import post_processing_g1, post_processing_g2

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
)
logger = logging.getLogger(__name__)


def __main__(results: List[Dict]) -> Dict:
    logger.info("data receiving in g1v1 block: %s", results)
    g1_input = pre_processing_g1(results)
    g2_input = pre_processing_g2(results)
    logger.info("pre_processed_data_g1: %s", g1_input)
    logger.info("pre_processed_data_g2: %s", g2_input)

    cluster_size = g1_input.get("cluster_size", 2)
    if cluster_size is None:
        cluster_size = 2

    if cluster_size < 2:
        g1_processed = {**g1_input, "prediction": 0}
        g2_processed = {**g2_input, "prediction_g2": 0}
    else:
        g1_processed = processing_g1(g1_input)
        g2_processed = processing_g2(g2_input)

    logger.info("prediction_g1: %.8f", float(g1_processed.get("prediction", 0)))
    logger.info("prediction_g2: %.8f", float(g2_processed.get("prediction_g2", 0)))

    final_g1 = post_processing_g1(g1_processed)
    final_g2 = post_processing_g2(g2_processed)
    final = {**final_g1, **final_g2}
    logger.info(final)

    return final

# testing :
# __main__