Xplainable MCP Server

""" Preprocessing service MCP tools. Auto-generated and maintained by the xplainable-client sync workflow. """ import logging from typing import Optional, List, Dict, Any from ..mcp_instance import mcp logger = logging.getLogger(__name__) # Import shared utilities from ..server import get_client # Preprocessing Tools # ============================================ @mcp.tool() def preprocessing_list_preprocessors(team_id: Optional[str] = None): """ List all preprocessors for a team. Args: team_id: Optional team ID (uses session team_id if not provided) Returns: List of preprocessor information Raises: XplainableAPIError: If listing fails Category: read """ try: client = get_client() result = client.preprocessing.list_preprocessors(team_id) logger.info(f"Executed preprocessing.list_preprocessors") # Handle different return types if hasattr(result, 'model_dump'): return result.model_dump() elif isinstance(result, list) and result and hasattr(result[0], 'model_dump'): return [item.model_dump() for item in result] else: return result except Exception as e: logger.error(f"Error in preprocessing_list_preprocessors: {e}") raise @mcp.tool() def preprocessing_get_preprocessor(preprocessor_id: str): """ Get detailed information about a preprocessor. Args: preprocessor_id: ID of the preprocessor Returns: Preprocessor information Raises: XplainableAPIError: If retrieval fails Category: read """ try: client = get_client() result = client.preprocessing.get_preprocessor(preprocessor_id) logger.info(f"Executed preprocessing.get_preprocessor") # Handle different return types if hasattr(result, 'model_dump'): return result.model_dump() elif isinstance(result, list) and result and hasattr(result[0], 'model_dump'): return [item.model_dump() for item in result] else: return result except Exception as e: logger.error(f"Error in preprocessing_get_preprocessor: {e}") raise