#!/usr/bin/env python3
"""
Fix dataset format for training - ensure consistent structure
"""

import json
from pathlib import Path

def fix_dataset_format(file_path):
    """Ensure all examples have consistent message format"""
    fixed_data = []
    
    with open(file_path, 'r') as f:
        for line in f:
            try:
                data = json.loads(line)
                
                # Ensure messages key exists and is list
                if 'messages' not in data:
                    print(f"Skipping entry without 'messages': {data}")
                    continue
                    
                # Ensure each message has required fields
                valid_messages = []
                for msg in data['messages']:
                    if 'role' in msg and 'content' in msg:
                        valid_messages.append(msg)
                    else:
                        print(f"Skipping invalid message: {msg}")
                
                if valid_messages:
                    data['messages'] = valid_messages
                    
                    # Ensure metadata exists
                    if 'metadata' not in data:
                        data['metadata'] = {
                            'category': 'unknown',
                            'source': 'fixed_format'
                        }
                    
                    fixed_data.append(data)
                    
            except json.JSONDecodeError as e:
                print(f"JSON decode error: {e}")
                continue
    
    # Write fixed data back
    fixed_path = file_path.replace('.jsonl', '_fixed.jsonl')
    with open(fixed_path, 'w') as f:
        for entry in fixed_data:
            f.write(json.dumps(entry, ensure_ascii=False) + '\n')
    
    print(f"Fixed {len(fixed_data)} examples in {fixed_path}")
    return fixed_path

# Fix both datasets
train_fixed = fix_dataset_format("/home/x/adaptai/aiml/e-train-1/combined_training_data.jsonl")
val_fixed = fix_dataset_format("/home/x/adaptai/aiml/e-train-1/combined_val.jsonl")

print(f"✅ Fixed training data: {train_fixed}")
print(f"✅ Fixed validation data: {val_fixed}")