"""
Script to rename defense CSV column headers to match expected format.
"""

import pandas as pd
import os

# Column mapping
COLUMN_MAPPING = {
    "RF/9": "range_factor_per_nine",
    "RF/G": "range_factor_per_game",
    "DP": "DP_def",
    "E": "E_def",
    "Ch": "chances",
    "Inn": "Inn_def",
    "CS%": "caught_stealing_perc",
    "PO": "pickoffs",
    "Name-additional": "key_bbref",
}

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

# Defense files to process
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 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)

    print(f"✓ {filename}: Renamed {len(renamed)} columns")
    if renamed:
        for r in renamed:
            print(f"    {r}")

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