Initial commit

skills/data.transform/data_transform.py

@@ -0,0 +1,120 @@
+#!/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()