File size: 3,206 Bytes
d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 30771b2 d90b742 | 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 | from typing import List, Dict, Any, Tuple
import random
URGENCY_LABELS = ["low", "medium", "high"]
ROUTING_LABELS = ["general", "support", "security"]
RESOLUTION_LABELS = ["ignore", "respond", "escalate"]
class EmailTriageEnv:
def __init__(self, task: str = "easy"):
self.task = task
self._queue: List[Dict] = []
self._index = 0
self._done = False
# ✅ TASK-WISE DATA (required for grader)
def _generate_emails(self) -> List[Dict]:
task_data = {
"easy": [
{"description": "Password reset not working", "label": [2, 1, 2]},
{"description": "Billing refund request", "label": [1, 2, 2]},
{"description": "App is slow and buggy", "label": [0, 1, 1]},
],
"medium": [
{"description": "Password reset not working", "label": [2, 1, 2]},
{"description": "Billing refund request", "label": [1, 2, 2]},
{"description": "App is slow and buggy", "label": [0, 1, 1]},
{"description": "Possible phishing attempt detected", "label": [2, 2, 2]},
{"description": "Invoice mismatch and payment issue", "label": [1, 2, 2]},
],
"hard": [
{"description": "Password reset not working", "label": [2, 1, 2]},
{"description": "Billing refund request", "label": [1, 2, 2]},
{"description": "App is slow and buggy", "label": [0, 1, 1]},
{"description": "Possible phishing attempt detected", "label": [2, 2, 2]},
{"description": "Invoice mismatch and payment issue", "label": [1, 2, 2]},
{"description": "Ransomware attack suspected on system", "label": [2, 2, 2]},
{"description": "User reports data breach and performance issues", "label": [2, 2, 2]},
],
}
emails = task_data.get(self.task, task_data["easy"])
random.shuffle(emails)
return emails
# ✅ RESET
def reset(self) -> Dict[str, Any]:
self._queue = self._generate_emails()
self._index = 0
self._done = False
return self.state()
# ✅ STATE
def state(self) -> Dict[str, Any]:
if self._done:
return {"done": True}
current = self._queue[self._index]
return {
"description": current["description"],
"step": self._index,
"remaining": len(self._queue) - self._index,
"done": False
}
# ✅ STEP (GRADER LOGIC)
def step(self, action: List[int]) -> Tuple[Dict, float, bool, Dict, Dict]:
if self._done:
return self.state(), 0.0, True, {}, {}
correct = self._queue[self._index]["label"]
# 🎯 PARTIAL REWARD (important)
matches = sum(1 for a, b in zip(action, correct) if a == b)
reward = matches / 3.0 # normalized [0,1]
# 🔥 BONUS for perfect prediction
if matches == 3:
reward = 1.0
self._index += 1
if self._index >= len(self._queue):
self._done = True
return self.state(), reward, self._done, {}, {} |