import random from typing import Callable, Dict, List, Optional import numpy as np from .base_agent import BaseAgent from autoresttest.graph import OperationGraph from autoresttest.utils import construct_basic_token # Progress callback type: (current_operation: str, completed_count: int) -> None ProgressCallback = Callable[[str, int], None] class HeaderAgent(BaseAgent): def __init__( self, operation_graph: OperationGraph, alpha: float = 0.1, gamma: float = 0.9, epsilon: float = 0.1, ): self.q_table: Dict[str, List[List]] = {} self.operation_graph = operation_graph self.alpha = alpha self.gamma = gamma self.epsilon = epsilon def initialize_q_table( self, progress_callback: Optional[ProgressCallback] = None ) -> None: request_generator = self.operation_graph.request_generator if request_generator is None: return token_list: List = [] operation_nodes_list = list(self.operation_graph.operation_nodes.values()) for idx, operation_node in enumerate(operation_nodes_list): if progress_callback: progress_callback(operation_node.operation_id, idx) token_info = request_generator.get_auth_info(operation_node, 5) for token in token_info: token_list.append(construct_basic_token(token)) completed = 0 for operation_id in self.operation_graph.operation_nodes.keys(): if operation_id not in self.q_table: self.q_table[operation_id] = [] random.shuffle(token_list) for i in range(min(9, len(token_list))): self.q_table[operation_id].append([token_list[i], 0]) self.q_table[operation_id].append([None, 0]) completed += 1 if progress_callback: progress_callback(operation_id, completed) def get_action(self, operation_id: str) -> Optional[str]: if operation_id not in self.q_table: raise ValueError(f"Operation '{operation_id}' not found in the Q-table for HeaderAgent.") if random.random() < self.epsilon: return self.get_random_action(operation_id) return self.get_best_action(operation_id) def get_best_action(self, operation_id: str) -> Optional[str]: if not self.q_table.get(operation_id): return None return max(self.q_table[operation_id], key=lambda x: x[1])[0] def get_random_action(self, operation_id: str) -> Optional[str]: return random.choice(self.q_table.get(operation_id, [[None]]))[0] def update_q_table( self, operation_id: str, action: Optional[str], reward: float ) -> None: if operation_id not in self.q_table: return current_q = 0.0 best_next_q = -np.inf for mapping in self.q_table[operation_id]: best_next_q = max(best_next_q, mapping[1]) if mapping[0] == action: current_q = mapping[1] new_q = current_q + self.alpha * (reward + self.gamma * best_next_q - current_q) for mapping in self.q_table[operation_id]: if mapping[0] == action: mapping[1] = new_q def get_Q_next(self, operation_id: str) -> float: if operation_id not in self.q_table: return 0.0 best_next_q = -np.inf for mapping in self.q_table[operation_id]: best_next_q = max(best_next_q, mapping[1]) return best_next_q def get_Q_curr(self, operation_id: str, token: Optional[str]) -> float: if operation_id not in self.q_table: return 0.0 current_q = 0.0 for mapping in self.q_table[operation_id]: if mapping[0] == token: current_q = mapping[1] return current_q def update_Q_item( self, operation_id: str, token: Optional[str], td_error: float ) -> None: if operation_id not in self.q_table: return for mapping in self.q_table[operation_id]: if mapping[0] == token: mapping[1] += self.alpha * td_error def number_of_zeros(self, operation_id: str) -> int: zeros = 0 for mapping in self.q_table.get(operation_id, []): if mapping[1] == 0: zeros += 1 return zeros