from typing import Any, Optional
from smolagents.tools import Tool
import numpy

class LinearRegressionTool(Tool):
    name = "linear_regression"
    description = "Gives the regression coefficient for a linear regression model. It may be a good idea to add an intercept to the input dictionaryOutput is dictionary of (str, float)."
    inputs = {'outcome': {'type': 'array', 'description': 'Values of the outcome variable'}, 'covariates': {'type': 'object', 'description': 'Dictionary with name and values for each covariate'}}
    output_type = "object"

    def forward(self, outcome, covariates):
        import numpy as np

        array = np.concatenate(
            np.array([
                np.array(arr)[:, None] for arr in covariates.values()
            ]),
            axis=1
        )

        coefs = np.linalg.lstsq(array, outcome)[0]

        return {cov: round(float(coef), 4) for cov, coef in zip(covariates.keys(), coefs)}

    def __init__(self, *args, **kwargs):
        self.is_initialized = False