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- """
- For large amounts of data, it is too slow to use FlaskSQL.
- Try to upload directly using psycopg2 a large CSV file!
- Make sure to run `combine_metadata.py` and `prune_metadata.py`
- before running this.
- """
- import os
- import psycopg2
- from typing import Any
- def main(args: Any):
- csv_path: str = os.path.realpath(args.metadata_csv)
- conn = psycopg2.connect(database = 'tornado', user = 'postgres')
- cursor = conn.cursor()
- cursor.execute(
- f"COPY address(address, entity, conf, meta_data, heuristic, user_cluster, exchange_cluster) FROM '{csv_path}' DELIMITER ',' CSV HEADER;"
- )
- conn.commit()
- if __name__ == "__main__":
- import argparse
- parser = argparse.ArgumentParser()
- parser.add_argument('metadata_csv', type=str)
- args = parser.parse_args()
- main(args)
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