import sys
import time
from sqlalchemy import text
from kis_trader.database.db_manager import TradeDB

db = TradeDB()
try:
    tables = [list(r._mapping.values())[0] for r in db.conn.execute(text("SHOW TABLES")).fetchall()]
    
    target_prefixes = (
        'ws_ticks', 'ws_orderbook', 'ws_candles', 
        'ls_ws_ticks', 'ls_ws_orderbook', 'ls_ws_candles',
        'ws_price_validation'
    )
    
    for table in tables:
        if not table.startswith(target_prefixes):
            continue
            
        cols = [dict(r._mapping)["Field"] for r in db.conn.execute(text(f"SHOW COLUMNS FROM {table}")).fetchall()]
        time_col = None
        for candidate in ('tick_time', 'ob_time', 'candle_time', 'timestamp', 'recv_ts', 'datetime'):
            if candidate in cols:
                time_col = candidate
                break
                
        if time_col:
            cutoff = '20260808'
            
            # Print count before deletion
            count_q = text(f"SELECT COUNT(*) as cnt FROM {table} WHERE {time_col} < :cutoff")
            count = db.conn.execute(count_q, {"cutoff": cutoff}).fetchone()._mapping['cnt']
            
            if count > 0:
                print(f"Deleting {count} rows from {table} (using column {time_col})")
                deleted = 0
                while True:
                    del_q = text(f"DELETE FROM {table} WHERE {time_col} < :cutoff LIMIT 100000")
                    res = db.conn.execute(del_q, {"cutoff": cutoff})
                    db.conn.commit()
                    
                    rows_affected = res.rowcount
                    if rows_affected <= 0:
                        break
                    deleted += rows_affected
                    print(f"  ... deleted {deleted}/{count} rows in {table}")
                    time.sleep(0.1)
                print(f"Finished deleting from {table}.")
            else:
                print(f"No rows to delete in {table} before {cutoff}")
        else:
            print(f"Warning: No time column found for {table}, columns: {cols}")
finally:
    db.close()