"""
Script to rename additional defense CSV column headers.
"""

import pandas as pd
import os

# Column mapping
COLUMN_MAPPING = {
    'Fld%': 'fielding_perc',
    'Rtot': 'tz_runs_total',
    'Rtot/yr': 'tz_runs_total_per_season',
    'Rtz': 'tz_runs_field',
    'Rdp': 'tz_runs_infield'
}

# Directory with defense files
DATA_DIR = 'data-input/2005 Live Cardset/'

# All defense files
DEFENSE_FILES = [
    'defense_c.csv',
    'defense_1b.csv',
    'defense_2b.csv',
    'defense_3b.csv',
    'defense_ss.csv',
    'defense_lf.csv',
    'defense_cf.csv',
    'defense_rf.csv',
    'defense_of.csv',
    'defense_p.csv'
]

print("Renaming additional defense CSV columns...")
print(f"Column mappings:")
for old, new in COLUMN_MAPPING.items():
    print(f"  {old} -> {new}")
print()

for filename in DEFENSE_FILES:
    filepath = os.path.join(DATA_DIR, filename)

    if not os.path.exists(filepath):
        print(f"⚠ Skipping {filename} (not found)")
        continue

    # Read CSV
    df = pd.read_csv(filepath)

    # Track which columns were renamed
    renamed = []
    for old_col, new_col in COLUMN_MAPPING.items():
        if old_col in df.columns:
            renamed.append(f"{old_col} -> {new_col}")

    # Rename columns
    df = df.rename(columns=COLUMN_MAPPING)

    # Save back
    df.to_csv(filepath, index=False)

    if renamed:
        print(f"✓ {filename}: Renamed {len(renamed)} columns")
        for r in renamed:
            print(f"    {r}")
    else:
        print(f"  {filename}: No matching columns found")

print("\n✓ All defense files processed successfully!")