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38c9982 200a73b 38c9982 200a73b 38c9982 200a73b 38c9982 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | from __future__ import annotations
from src.executive_assistant.graders import grade_easy, grade_hard, grade_medium
from src.executive_assistant.models import (
AssistantAction,
EmailDetail,
EmailSummary,
FileSearchResult,
TaskReward,
WorkspaceObservation,
)
from src.executive_assistant.seeds import TASK_SEEDS
from src.executive_assistant.workspace import MockWorkspace
class ExecutiveAssistantEnv:
def __init__(self, task_name: str = "easy_deadline_extraction") -> None:
self.task_name = task_name
self.workspace = MockWorkspace()
self.last_action_status = "environment initialized"
self.current_email: EmailDetail | None = None
self.search_results: list[FileSearchResult] = []
self.step_count = 0
self.max_steps = 12
def reset(self) -> WorkspaceObservation:
self.workspace = MockWorkspace()
seed = TASK_SEEDS[self.task_name]
self.workspace.seed(seed.get("emails", []), seed.get("files", []))
self.last_action_status = f"scenario reset: {self.task_name}"
self.current_email = None
self.search_results = []
self.step_count = 0
return self.observe()
def state(self) -> dict[str, object]:
return {
"task_name": self.task_name,
"step_count": self.step_count,
"max_steps": self.max_steps,
"last_action_status": self.last_action_status,
"current_email": self.current_email.model_dump() if self.current_email else None,
"search_results": [result.model_dump() for result in self.search_results],
"observation": self.observe().model_dump(),
"workspace": self.workspace.snapshot(),
}
def observe(self) -> WorkspaceObservation:
unread = [
EmailSummary(
id=row["id"],
sender=row["sender"],
subject=row["subject"],
snippet=row["snippet"],
)
for row in self.workspace.get_unread_emails()
]
todos = [row["task_name"] for row in self.workspace.list_todos()]
recent_actions = [
f"{row['action_type']}: {row['status']}"
for row in reversed(self.workspace.list_recent_actions(limit=6))
]
return WorkspaceObservation(
current_time="2026-04-04T10:00:00Z",
unread_emails=unread,
active_todos=todos,
last_action_status=self.last_action_status,
current_email=self.current_email,
search_results=self.search_results,
action_history=recent_actions,
)
def step(self, action: AssistantAction) -> tuple[WorkspaceObservation, TaskReward, bool, dict[str, object]]:
self.step_count += 1
if action.action_type == "read_email" and action.target_id is not None:
row = self.workspace.read_email(action.target_id)
self.current_email = EmailDetail(**dict(row)) if row else None
self.last_action_status = "email read" if row else "email not found"
elif action.action_type == "reply" and action.target_id is not None and action.payload:
self.last_action_status = self.workspace.send_reply(action.target_id, action.payload)
elif (
action.action_type == "forward"
and action.target_id is not None
and action.secondary_payload
):
self.last_action_status = self.workspace.forward_email(
action.target_id,
action.secondary_payload,
action.payload,
)
elif action.action_type == "add_todo" and action.payload:
self.last_action_status = self.workspace.create_todo(
task_name=action.payload,
deadline_date=action.secondary_payload,
context=(
f"Created from email {self.current_email.id}: {self.current_email.subject}"
if self.current_email
else f"Created from task {self.task_name}"
),
)
elif action.action_type == "archive" and action.target_id is not None:
self.last_action_status = self.workspace.archive_email(action.target_id)
elif action.action_type == "search_files" and action.payload:
results = self.workspace.search_documents(action.payload)
self.search_results = [
FileSearchResult(
id=row["id"],
filename=row["filename"],
snippet=row["content_text"][:160],
)
for row in results
]
self.last_action_status = f"search returned {len(results)} file(s)"
else:
self.last_action_status = "invalid action payload"
observation = self.observe()
reward = self.grade()
if self.step_count >= self.max_steps and not reward.is_done:
reward = TaskReward(
step_reward=reward.step_reward,
total_score=reward.total_score,
is_done=True,
reasoning=f"{reward.reasoning}; terminated at step budget",
)
done = reward.is_done
info = {
"task_name": self.task_name,
"step_count": self.step_count,
"max_steps": self.max_steps,
"status": self.last_action_status,
"reasoning": reward.reasoning,
"total_score": reward.total_score,
"state": self.state(),
}
return observation, reward, done, info
def grade(self) -> TaskReward:
if self.task_name == "easy_deadline_extraction":
return grade_easy(self.workspace)
if self.task_name == "medium_triage_and_negotiation":
return grade_medium(self.workspace)
if self.task_name == "hard_rag_reply":
return grade_hard(self.workspace)
return TaskReward(reasoning="No grader configured")
|