Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
File size: 1,624 Bytes
6d1bbc7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | """Load AACT data into NegBioDB-CT.
Usage:
python scripts_ct/load_aact.py [--db-path PATH] [--data-dir PATH]
Prerequisites:
- Database created: migrations applied automatically
- AACT data downloaded: python scripts_ct/download_aact.py
"""
import argparse
import logging
from pathlib import Path
from negbiodb_ct.ct_db import DEFAULT_CT_DB_PATH
from negbiodb_ct.etl_aact import run_aact_etl
def main():
parser = argparse.ArgumentParser(description="Load AACT into NegBioDB-CT")
parser.add_argument("--db-path", type=Path, default=DEFAULT_CT_DB_PATH,
help="Path to CT SQLite database")
parser.add_argument("--data-dir", type=Path, default=None,
help="Directory containing AACT .txt files")
args = parser.parse_args()
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s %(levelname)s %(message)s",
)
print("=== AACT ETL ===")
stats = run_aact_etl(args.db_path, data_dir=args.data_dir)
print(f"\n=== AACT ETL Summary ===")
print(f"Studies read: {stats['studies_read']}")
print(f"Interventions: {stats['interventions_inserted']}")
print(f"Conditions: {stats['conditions_inserted']}")
print(f"Trials: {stats['trials_inserted']}")
print(f"Trial-Intervention links: {stats['trial_interventions_linked']}")
print(f"Trial-Condition links: {stats['trial_conditions_linked']}")
print(f"Publications linked: {stats['publications_linked']}")
print("\nAACT ETL complete.")
if __name__ == "__main__":
main()
|