"""Data processing tools for {{ project_name }}."""

from typing import Any
import structlog
from mcp.types import Tool

logger = structlog.get_logger(__name__)


def get_data_processing_tools() -> list[Tool]:
    """Get list of data processing tools."""
    tools = [
        Tool(
            name="data_transform",
            description="Transform data using specified operations",
            inputSchema={
                "type": "object",
                "properties": {
                    "data": {"type": "string", "description": "Data to transform"},
                    "operation": {
                        "type": "string",
                        "enum": ["filter", "map", "reduce", "sort"],
                        "description": "Operation to perform",
                    },
                },
                "required": ["data", "operation"],
            },
        ),
        Tool(
            name="data_analyze",
            description="Analyze data and provide statistics",
            inputSchema={
                "type": "object",
                "properties": {
                    "data": {"type": "string", "description": "Data to analyze"},
                },
                "required": ["data"],
            },
        ),
    ]
    return tools


async def execute_data_processing_tool(name: str, arguments: dict[str, Any]) -> str:
    """Execute a data processing tool."""
    if name == "data_transform":
        return await _transform_data(arguments)
    elif name == "data_analyze":
        return await _analyze_data(arguments)
    raise ValueError(f"Unknown data processing tool: {name}")


async def _transform_data(arguments: dict[str, Any]) -> str:
    """Transform data."""
    data = arguments["data"]
    operation = arguments["operation"]
    # Implement transformation logic here
    logger.info("data_transformed", operation=operation, data_length=len(data))
    return f"Data transformed using {operation}"


async def _analyze_data(arguments: dict[str, Any]) -> str:
    """Analyze data."""
    data = arguments["data"]
    # Implement analysis logic here
    logger.info("data_analyzed", data_length=len(data))
    return f"Data analysis: {len(data)} characters"