ric/main_ric.py

import logging
import time
from omegaconf.omegaconf import OmegaConf, open_dict

import sys

sys.path.append(".")
from src.hydra_runner import hydra_runner
from src.embed import generate_passage_embeddings
from src.index import build_index
from src.search import search_topk, post_hoc_merge_topk_multi_domain
from src.evaluate_perplexity import evaluate_perplexity


@hydra_runner(config_path="conf", config_name="default")
def main(cfg) -> None:
    logging.info("\n\n************** Experiment configuration ***********")
    logging.info(f"\n{OmegaConf.to_yaml(cfg)}")

    embedding_gen_time_start = time.time()
    if cfg.tasks.datastore.get("embedding", False):
        logging.info("\n\n************** Building Embedding ***********")
        generate_passage_embeddings(cfg)
    embedding_gen_time_end = time.time()
    logging.info(
        f"Embedding generation took {embedding_gen_time_end - embedding_gen_time_start} seconds."
    )

    indexing_start_time = time.time()
    if cfg.tasks.datastore.get("index", False):
        logging.info("\n\n************** Indexing ***********")
        build_index(cfg)
    indexing_end_time = time.time()
    logging.info(f"Indexing took {indexing_end_time - indexing_start_time} seconds.")
    if cfg.tasks.eval.get("search", False):
        logging.info("\n\n************** Running Search ***********")
        start_time = time.time()
        search_topk(cfg)
        end_time = time.time()
        logging.info(f"Search took {end_time - start_time} seconds.")

    if cfg.tasks.eval.get("merge_search", False):
        logging.info(
            "\n\n************** Post Merging Searched Results from Multiple Domains ***********"
        )
        post_hoc_merge_topk_multi_domain(cfg)

    if cfg.tasks.eval.get("inference", False):
        logging.info("\n\n************** Running Perplexity Evaluation ***********")
        inference_start_time = time.time()
        outputs = evaluate_perplexity(cfg)
        inference_end_time = time.time()
        print(f"Inference took {inference_end_time - inference_start_time} seconds.")
        log_results_separately(cfg, outputs)


def log_results_separately(cfg, outputs):
    if cfg.evaluation.get("results_only_log_file", None):
        with open(cfg.evaluation.results_only_log_file, "a+") as file:
            file.write("\n")
            file.write(outputs.log_message())


if __name__ == "__main__":
    main()