#!/usr/bin/env python3
"""
data.transform - Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling

Generated by meta.skill
"""

import os
import sys
import json
import yaml
from pathlib import Path
from typing import Dict, List, Any, Optional


from betty.config import BASE_DIR
from betty.logging_utils import setup_logger

logger = setup_logger(__name__)


class DataTransform:
    """
    Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling
    """

    def __init__(self, base_dir: str = BASE_DIR):
        """Initialize skill"""
        self.base_dir = Path(base_dir)

    def execute(self, input_file_path: Optional[str] = None, source_format: Optional[str] = None, target_format: Optional[str] = None, schema_path_optional: Optional[str] = None) -> Dict[str, Any]:
        """
        Execute the skill

        Returns:
            Dict with execution results
        """
        try:
            logger.info("Executing data.transform...")

            # TODO: Implement skill logic here

            # Implementation notes:
            # Support transformations between: - JSON ↔ YAML - JSON ↔ XML - JSON ↔ CSV - YAML ↔ XML - XML ↔ CSV Features: - Validate input against schema before transformation - Preserve data types during conversion - Handle nested structures appropriately - Report data loss warnings (e.g., CSV can't represent nesting) - Support custom transformation rules - Provide detailed error messages Output report should include: - Transformation success status - Source and target formats - Data validation results - Warnings about potential data loss - Transformation time and file sizes

            # Placeholder implementation
            result = {
                "ok": True,
                "status": "success",
                "message": "Skill executed successfully"
            }

            logger.info("Skill completed successfully")
            return result

        except Exception as e:
            logger.error(f"Error executing skill: {e}")
            return {
                "ok": False,
                "status": "failed",
                "error": str(e)
            }


def main():
    """CLI entry point"""
    import argparse

    parser = argparse.ArgumentParser(
        description="Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling"
    )

    parser.add_argument(
        "--input-file-path",
        help="input_file_path"
    )
    parser.add_argument(
        "--source-format",
        help="source_format"
    )
    parser.add_argument(
        "--target-format",
        help="target_format"
    )
    parser.add_argument(
        "--schema-path-optional",
        help="schema_path (optional)"
    )
    parser.add_argument(
        "--output-format",
        choices=["json", "yaml"],
        default="json",
        help="Output format"
    )

    args = parser.parse_args()

    # Create skill instance
    skill = DataTransform()

    # Execute skill
    result = skill.execute(
        input_file_path=args.input_file_path,
        source_format=args.source_format,
        target_format=args.target_format,
        schema_path_optional=args.schema_path_optional,
    )

    # Output result
    if args.output_format == "json":
        print(json.dumps(result, indent=2))
    else:
        print(yaml.dump(result, default_flow_style=False))

    # Exit with appropriate code
    sys.exit(0 if result.get("ok") else 1)


if __name__ == "__main__":
    main()