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import logging
from datetime import datetime
from pathlib import Path
from sec_certs.dataset.fips import FIPSDataset
logger = logging.getLogger(__name__)
def main():
logging.basicConfig(level=logging.INFO)
start = datetime.now()
# dset: FIPSDataset = FIPSDataset({}, Path('./my_debug_dataset'), 'sample_dataset', 'sample dataset description')
# dset.get_certs_from_web(no_download_algorithms=True)
dset = FIPSDataset({}, Path("../fips_dataset"), "sample_dataset", "sample dataset description")
dset.get_certs_from_web()
# # Label CPE and compute related vulnerabilities
# dset.compute_cpe_heuristics()
# dset.compute_related_cves()
#
# # Load dataset of ground truth CPE labels
# dset.load_label_studio_labels(Path(__file__).parent.parent / 'data/manual_cpe_labels/fips.json')
#
# # Limit dataset only to validation part
# validation_dgsts = get_validation_dgsts(Path(__file__).parent.parent / 'data/validation_test_split/fips/validation.json')
# validation_certs = [x for x in dset if x.dgst in validation_dgsts]
#
# # Evaluate CPE matching performance metrics (on validation set) and dump classification report into json
# y_valid = [x.heuristics.verified_cpe_matches for x in validation_certs]
# evaluate(validation_certs, y_valid, './my_debug_dataset/classification_report.json')
logger.info(f"{dset.json_path} should now contain fully labeled dataset.")
end = datetime.now()
logger.info(f"The computation took {(end - start)} seconds.")
if __name__ == "__main__":
main()
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