import random from .base_agent import BaseAgent from autoresttest.graph import OperationGraph class OperationAgent(BaseAgent): def __init__( self, operation_graph: OperationGraph, alpha: float = 0.1, gamma: float = 0.9, epsilon: float = 0.1, ): self.alpha = alpha self.gamma = gamma self.epsilon = epsilon self.operation_graph = operation_graph self.q_table: dict[str, float] = {} def initialize_q_table(self) -> None: operation_ids = self.operation_graph.operation_nodes.keys() self.q_table = {operation_id: 0 for operation_id in operation_ids} def get_action(self) -> str: if random.random() < self.epsilon: return self.get_random_action() return self.get_best_action() def get_best_action(self) -> str: if not self.q_table: raise ValueError( "No operations were parsed from the specification for OperationAgent." ) return max(self.q_table.items(), key=lambda x: x[1])[0] def get_random_action(self) -> str: if not self.q_table: raise ValueError( "No operations were parsed from the specification for OperationAgent." ) return random.choice(list(self.q_table.keys())) def update_q_table(self, operation_id: str, reward: float) -> None: if operation_id not in self.q_table: return current_q = self.q_table[operation_id] best_next_q = self.get_Q_next(operation_id) new_q = current_q + self.alpha * (reward + self.gamma * best_next_q - current_q) self.q_table[operation_id] = new_q def get_Q_next(self, operation_id: str) -> float: return max(self.q_table.values()) if self.q_table else 0.0 def get_Q_curr(self, operation_id: str) -> float: return self.q_table.get(operation_id, 0.0) def update_Q_item(self, operation_id: str, td_error: float) -> None: if operation_id not in self.q_table: return self.q_table[operation_id] = ( self.q_table.get(operation_id, 0.0) + self.alpha * td_error )