#!/usr/bin/env python3
"""
Extract audio from Nigerian Common Voice parquet files.
"""
import os
import sys
from pathlib import Path

try:
    import pandas as pd
    from datasets import load_dataset
    import soundfile as sf
except ImportError:
    print("Installing required packages...")
    os.system("pip install pandas datasets soundfile pyarrow")
    import pandas as pd
    from datasets import load_dataset
    import soundfile as sf

BASE_DIR = Path.home() / "voice-training"
DATASETS_DIR = BASE_DIR / "datasets" / "nigerian_cv"
OUTPUT_DIR = BASE_DIR / "prepared_data"

LANGUAGES = ["yoruba", "hausa", "igbo", "english"]

def extract_language(lang: str):
    """Extract audio files for a language."""
    lang_dir = DATASETS_DIR / lang
    output_dir = OUTPUT_DIR / lang
    output_dir.mkdir(parents=True, exist_ok=True)
    
    print(f"\n=== Extracting {lang.upper()} ===")
    
    for split in ["train", "validation", "test"]:
        parquet_file = lang_dir / f"{split}-00000-of-00001.parquet"
        if not parquet_file.exists():
            print(f"  {split}: not found")
            continue
        
        print(f"  Processing {split}...")
        try:
            # Load parquet
            df = pd.read_parquet(parquet_file)
            print(f"    Found {len(df)} samples")
            
            # Check columns
            print(f"    Columns: {list(df.columns)}")
            
            # Extract first few samples
            for idx in range(min(5, len(df))):
                row = df.iloc[idx]
                print(f"    Sample {idx}: {row.get('sentence', 'N/A')[:50]}...")
                
        except Exception as e:
            print(f"    Error: {e}")

def main():
    print("=== Extracting Nigerian Common Voice Audio ===")
    print(f"Input: {DATASETS_DIR}")
    print(f"Output: {OUTPUT_DIR}")
    
    for lang in LANGUAGES:
        if (DATASETS_DIR / lang).exists():
            extract_language(lang)
        else:
            print(f"\n{lang}: directory not found")
    
    print("\n=== Extraction complete ===")

if __name__ == "__main__":
    main()