from agency_swarm.tools import BaseTool
from pydantic import Field, BaseModel
import pandas as pd
from typing import Any

class StatisticalModelingTool(BaseTool):
    """
    A tool for performing statistical analysis and modeling on market data.
    """
    
    class Config:
        arbitrary_types_allowed = True  # Allow arbitrary types like pandas DataFrame
    
    data: Any = Field(
        default=None,
        description="The data to analyze. Can be a pandas DataFrame or other compatible format."
    )
    
    analysis_type: str = Field(
        ...,
        description="Type of statistical analysis to perform (e.g., 'regression', 'correlation', 'time_series')"
    )
    
    parameters: dict = Field(
        default={},
        description="Additional parameters for the statistical analysis"
    )

    def run(self):
        """
        Performs the specified statistical analysis on the provided data.
        """
        try:
            # Your statistical analysis logic here
            if self.analysis_type == "regression":
                # Perform regression analysis
                result = "Regression analysis completed"
            elif self.analysis_type == "correlation":
                # Perform correlation analysis
                result = "Correlation analysis completed"
            elif self.analysis_type == "time_series":
                # Perform time series analysis
                result = "Time series analysis completed"
            else:
                result = f"Unknown analysis type: {self.analysis_type}"
            
            return result
            
        except Exception as e:
            return f"Error performing statistical analysis: {str(e)}"

if __name__ == "__main__":
    # Test the tool
    data = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
    tool = StatisticalModelingTool(
        data=data,
        analysis_type="regression",
        parameters={"method": "linear"}
    )
    print(tool.run())