#!/usr/bin/env python3
"""
Vedic Neural Geometry - Schema Discovery
हा script कोणीही चालवू शकतो आणि डेटासेटची माहिती मिळवू शकतो.
"""

from datasets import load_dataset
import json

def discover_dataset():
    """Auto-discover dataset structure"""
    print("🔍 Vedic Neural Geometry - Schema Discovery\n")
    
    dataset = load_dataset("kalpesh77/vedic-neural-geometry")
    
    schema_info = {
        "dataset": "kalpesh77/vedic-neural-geometry",
        "configs": {}
    }
    
    for config_name in dataset.keys():
        print(f"\n📊 Config: {config_name}")
        config_data = dataset[config_name]
        
        schema_info["configs"][config_name] = {
            "num_rows": len(config_data),
            "columns": {}
        }
        
        # Column details
        for col_name in config_data.features:
            col_data = config_data[col_name]
            schema_info["configs"][config_name]["columns"][col_name] = {
                "type": str(type(col_data[0]).__name__),
                "sample": str(col_data[0]) if len(col_data) > 0 else None
            }
            print(f"  - {col_name}: {type(col_data[0]).__name__}")
    
    # Save to file
    with open("DISCOVERED_SCHEMA.json", "w") as f:
        json.dump(schema_info, f, indent=2)
    
    print("\n✅ Schema saved to DISCOVERED_SCHEMA.json")
    return schema_info

if __name__ == "__main__":
    discover_dataset()