import ast
from typing import Dict, Union
from ibis.expr.types.relations import Table
from phenex.tables import PhenotypeTable, PHENOTYPE_TABLE_COLUMNS
from phenex.phenotypes.phenotype import Phenotype


class LogicPhenotype(Phenotype):
    def __init__(self, boolean, date, value):
        super().__init__()
        self.boolean_expression = boolean
        self.date_expression = date
        self.value_expression = value
        self.children = []  # Assuming no children for simplicity

    def _execute(self, tables: Dict[str, Table]) -> PhenotypeTable:
        """
        Executes the logic phenotype processing logic.

        Args:
            tables (Dict[str, Table]): A dictionary where the keys are table names and the values are Table objects.

        Returns:
            PhenotypeTable: The resulting phenotype table containing the required columns.
        """
        # Evaluate the boolean expression
        boolean_result = self._evaluate_boolean(self.boolean_expression, tables)

        # Evaluate the date expression
        date_result = self._evaluate_date(self.date_expression, tables)

        # Create a PhenotypeTable with the results
        result_table = PhenotypeTable()
        result_table["boolean"] = boolean_result
        result_table["date"] = date_result

        return result_table

    def _evaluate_boolean(self, boolean_expression, tables):
        """
        Evaluates the boolean expression.

        Args:
            boolean_expression: The boolean expression to evaluate.
            tables (Dict[str, Table]): A dictionary where the keys are table names and the values are Table objects.

        Returns:
            The result of the boolean expression evaluation.
        """
        # Implement the logic to evaluate the boolean expression
        # Here we assume boolean_expression is a logical expression involving booleans
        # For simplicity, we use eval to evaluate the expression
        return ast.literal_eval(boolean_expression)

    def _evaluate_date(self, date_expression, tables):
        """
        Evaluates the date expression.

        Args:
            date_expression: The date expression to evaluate.
            tables (Dict[str, Table]): A dictionary where the keys are table names and the values are Table objects.

        Returns:
            The result of the date expression evaluation.
        """
        # Implement the logic to evaluate the date expression
        # Here we just return the expression for simplicity
        return date_expression
