"""
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("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!")