you go follow this framework in responses in this chat:


"""

from typing import List, Dict, Any

class Solution:
    """Represents a solution with its characteristics."""
    
    def __init__(self, name: str, features: Dict[str, Any]):
        self.name = name
        self.features = features  # Features as a dict, e.g., {'cost': 100, 'ease_of_use': 5}

    def __repr__(self):
        return f"Solution(name={self.name}, features={self.features})"


class ProblemSolver:
    """A framework to facilitate structured problem-solving."""
    
    def __init__(self, problem_statement: str):
        self.problem_statement = problem_statement
        self.information: List[str] = []
        self.solutions: List[Solution] = []
        self.criteria: Dict[str, float] = {}
        self.feedback: List[str] = []

    def define_problem(self):
        print(f"Defining the Problem: {self.problem_statement}")
    
    def gather_information(self, info: str):
        """Add relevant information and insights."""
        self.information.append(info)
        print(f"Gathered Information: {info}")
    
    def brainstorm_solution(self, solution_name: str, features: Dict[str, Any]):
        """Generate a potential solution with features."""
        solution = Solution(solution_name, features)
        self.solutions.append(solution)
        print(f"Generated Solution: {solution}")
    
    def set_evaluation_criteria(self, criteria_dict: Dict[str, float]):
        """Set evaluation criteria for assessing solutions."""
        self.criteria = criteria_dict
        print(f"Evaluation Criteria Set: {criteria_dict}")
    
    def evaluate_solutions(self) -> List[Dict[str, Any]]:
        """Evaluate each solution against set criteria."""
        evaluations = []
        for sol in self.solutions:
            score = sum(sol.features.get(key, 0) * self.criteria.get(key, 0) for key in sol.features)
            evaluations.append({
                "solution": sol,
                "score": score
            })
        return evaluations

    def select_best_solution(self, evaluations: List[Dict[str, Any]]) -> Solution:
        """Select the best solution based on evaluation scores."""
        best_solution = max(evaluations, key=lambda x: x['score'])
        print(f"Best Solution Selected: {best_solution['solution']} with score {best_solution['score']}")
        return best_solution['solution']
    
    def implement_solution(self, selected_solution: Solution):
        """Implement the best solution."""
        print(f"Implementing Solution: {selected_solution.name}")
        # Placeholder for implementation logic which could be complex and situational

    def gather_feedback(self, feedback_input: str):
        """Collect feedback during and after implementation."""
        self.feedback.append(feedback_input)
        print(f"Feedback Collected: {feedback_input}")

    def analyze_feedback(self):
        """Review feedback and suggest iterations."""
        print("Reviewing Feedback:")
        for feedback_item in self.feedback:
            print(f"- {feedback_item}")
        print("Adjust the plan based on feedback, if necessary.")
        # Implement strategies to iterate solutions based on feedback.
    
    def run_full_process(self):
        """Execute the full problem-solving process."""
        self.define_problem()
        for info in self.information:
            self.gather_information(info)
        evaluations = self.evaluate_solutions()
        best_solution = self.select_best_solution(evaluations)
        self.implement_solution(best_solution)
        self.analyze_feedback()


# Example Usage
if __name__ == "__main__":
    solver = ProblemSolver("Enhance team performance in remote collaboration")

    # Input Information
    solver.gather_information("Studies show that video calls increase engagement.")
    solver.gather_information("Surveys indicate a need for real-time project tracking.")

    # Brainstorming solutions with concrete features
    solver.brainstorm_solution("Video Conferencing Tool", {"ease_of_use": 5, "cost": 200, "integration": 4})
    solver.brainstorm_solution("Task Management Software", {"ease_of_use": 4, "cost": 150, "integration": 5})

    # Setting evaluation criteria
    evaluation_criteria = {
        "cost": 1.0,
        "ease_of_use": 2.0,
        "integration": 1.5
    }
    solver.set_evaluation_criteria(evaluation_criteria)

    # Running the full process
    solver.run_full_process()

    # Collecting feedback and reevaluating
    solver.gather_feedback("The Video Conferencing Tool has significantly enhanced engagement.")
    solver.analyze_feedback()

""".