scripts/cleaning_old_info.py

import pandas as pd
from utils import DATA_DIR, TMP_DIR


def clean_old_data_from_parquet_files(cutoff_date: str):
    print("Cleaning oldest data")
    # Convert the string to datetime64[ns, UTC]
    min_date_utc = pd.to_datetime(cutoff_date, format="%Y-%m-%d", utc=True)

    # clean tools.parquet
    try:
        tools = pd.read_parquet(DATA_DIR / "tools.parquet")

        # make sure creator_address is in the columns
        assert "trader_address" in tools.columns, "trader_address column not found"

        # lowercase and strip creator_address
        tools["trader_address"] = tools["trader_address"].str.lower().str.strip()

        tools["request_time"] = pd.to_datetime(tools["request_time"], utc=True)

        print(f"length before filtering {len(tools)}")
        tools = tools.loc[tools["request_time"] > min_date_utc]
        print(f"length after filtering {len(tools)}")
        tools.to_parquet(DATA_DIR / "tools.parquet", index=False)

    except Exception as e:
        print(f"Error cleaning tools file {e}")

    # clean all_trades_profitability.parquet
    try:
        all_trades = pd.read_parquet(DATA_DIR / "all_trades_profitability.parquet")

        all_trades["creation_timestamp"] = pd.to_datetime(
            all_trades["creation_timestamp"], utc=True
        )

        print(f"length before filtering {len(all_trades)}")
        all_trades = all_trades.loc[all_trades["creation_timestamp"] > min_date_utc]
        print(f"length after filtering {len(all_trades)}")
        all_trades.to_parquet(
            DATA_DIR / "all_trades_profitability.parquet", index=False
        )

    except Exception as e:
        print(f"Error cleaning all trades profitability file {e}")

    # clean unknown_traders.parquet
    try:
        unknown_traders = pd.read_parquet(DATA_DIR / "unknown_traders.parquet")

        unknown_traders["creation_timestamp"] = pd.to_datetime(
            unknown_traders["creation_timestamp"], utc=True
        )

        print(f"length before filtering {len(unknown_traders)}")
        unknown_traders = unknown_traders.loc[
            unknown_traders["creation_timestamp"] > min_date_utc
        ]
        print(f"length after filtering {len(unknown_traders)}")
        unknown_traders.to_parquet(DATA_DIR / "unknown_traders.parquet", index=False)

    except Exception as e:
        print(f"Error cleaning unknown_traders file {e}")

    # clean fpmmTrades.parquet
    try:
        fpmmTrades = pd.read_parquet(TMP_DIR / "fpmmTrades.parquet")

        fpmmTrades["creation_timestamp"] = pd.to_datetime(
            fpmmTrades["creation_timestamp"], utc=True
        )

        print(f"length before filtering {len(fpmmTrades)}")
        fpmmTrades = fpmmTrades.loc[fpmmTrades["creation_timestamp"] > min_date_utc]
        print(f"length after filtering {len(fpmmTrades)}")
        fpmmTrades.to_parquet(TMP_DIR / "fpmmTrades.parquet", index=False)

    except Exception as e:
        print(f"Error cleaning fpmmTrades file {e}")


if __name__ == "__main__":
    clean_old_data_from_parquet_files("2024-10-25")