File size: 4,421 Bytes
6c50d1f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | 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
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