File size: 3,369 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 | import random
from typing import Dict, List
from .base_agent import BaseAgent
from autoresttest.graph.generate_graph import OperationGraph
class DataSourceAgent(BaseAgent):
def __init__(
self,
operation_graph: OperationGraph,
alpha: float = 0.1,
gamma: float = 0.9,
epsilon: float = 0.1,
):
self.q_table: Dict[str, Dict[str, float]] = {}
self.operation_graph = operation_graph
self.alpha = alpha
self.gamma = gamma
self.epsilon = epsilon
self.available_data_sources: List[str] = (
["LLM", "DEPENDENCY", "DEFAULT"]
if operation_graph.operation_edges
else ["LLM", "DEFAULT"]
)
def initialize_q_table(self) -> None:
for operation_id in self.operation_graph.operation_nodes.keys():
if operation_id not in self.q_table:
self.q_table[operation_id] = {
data_source: 0 for data_source in self.available_data_sources
}
def initialize_dependency_source(self) -> None:
if "DEPENDENCY" not in self.available_data_sources:
for data_sources in self.q_table.values():
data_sources["DEPENDENCY"] = 0
self.available_data_sources.append("DEPENDENCY")
def get_action(self, operation_id: str) -> str:
if operation_id not in self.q_table:
raise ValueError(f"Operation '{operation_id}' not found in the Q-table for DataSourceAgent.")
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) -> str:
return max(self.q_table[operation_id].items(), key=lambda x: x[1])[0]
def get_random_action(self, operation_id: str) -> str:
return random.choice(list(self.q_table[operation_id].keys()))
def update_q_table(self, operation_id: str, action: str, reward: float) -> None:
if operation_id not in self.q_table:
return
if action not in self.q_table[operation_id]:
return
current_q = self.q_table[operation_id][action]
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][action] = new_q
def get_Q_next(self, operation_id: str) -> float:
if operation_id not in self.q_table or not self.q_table[operation_id]:
return 0.0
return max(self.q_table[operation_id].values())
def get_Q_curr(self, operation_id: str, action: str) -> float:
if operation_id not in self.q_table:
return 0.0
return self.q_table[operation_id].get(action, 0.0)
def update_Q_item(self, operation_id: str, action: str, td_error: float) -> None:
if operation_id not in self.q_table:
return
if action not in self.q_table[operation_id]:
return
self.q_table[operation_id][action] += self.alpha * td_error
def number_of_zeros(self, operation_id: str) -> int:
if operation_id not in self.q_table:
return 0
zeros = 0
for value in self.q_table[operation_id].values():
if value == 0:
zeros += 1
return zeros
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