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0fd10c5 c64d203 0fd10c5 c64d203 0fd10c5 1d9d3ee 0fd10c5 c64d203 0fd10c5 454cef3 1d9d3ee 0fd10c5 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 | """
Smoke tests for HelpdeskTicketRoutingEnvironment.
Covers: reset(), step(), state property, seeded determinism,
per-ticket score bounds, and full episode completion for all task IDs.
Run with:
pytest tests/test_environment_smoke.py
"""
from __future__ import annotations
import sys
import os
import unittest
# Ensure the repo root is on sys.path so imports resolve without installation.
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import openenv_test_stubs # noqa: F401 β must come before any openenv imports
# The shared stub covers openenv.core.env_server.types but not .interfaces.
# Patch in the interfaces module so environment.py can import Environment.
import sys
import types as _types
if "openenv.core.env_server.interfaces" not in sys.modules:
_interfaces_mod = _types.ModuleType("openenv.core.env_server.interfaces")
class _Environment:
"""Minimal stub matching the openenv-core Environment base class."""
def __init__(self) -> None:
pass
def __init_subclass__(cls, **kwargs: object) -> None:
super().__init_subclass__(**kwargs)
@classmethod
def __class_getitem__(cls, item: object) -> type:
return cls
_interfaces_mod.Environment = _Environment # type: ignore[attr-defined]
sys.modules["openenv.core.env_server.interfaces"] = _interfaces_mod
from models import HelpdeskTicketObservation, HelpdeskTicketState
from server.environment import HelpdeskTicketRoutingEnvironment
from server.tasks import TASKS
from vocabulary import ISSUE_TYPES, PRIORITIES, ASSIGNMENT_GROUPS, RESOLUTION_ACTIONS
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _make_env() -> HelpdeskTicketRoutingEnvironment:
return HelpdeskTicketRoutingEnvironment()
def _heuristic_action_dict(obs: HelpdeskTicketObservation) -> dict:
"""Return a minimal valid action dict for the given observation."""
allowed = obs.allowed_fields
action: dict = {}
if "issue_type" in allowed:
action["issue_type"] = ISSUE_TYPES[0]
if "priority" in allowed:
action["priority"] = PRIORITIES[0]
if "assignment_group" in allowed:
action["assignment_group"] = ASSIGNMENT_GROUPS[0]
if "resolution_action" in allowed:
action["resolution_action"] = RESOLUTION_ACTIONS[0]
return action
def _run_full_episode(env: HelpdeskTicketRoutingEnvironment, task_id: int, seed: int = 42):
"""Reset and step through an entire episode; return list of (obs, reward) tuples."""
from models import HelpdeskTicketAction
obs = env.reset(seed=seed, task_id=task_id)
results = []
while not obs.done:
action = HelpdeskTicketAction(**_heuristic_action_dict(obs))
obs = env.step(action)
results.append((obs, obs.reward))
return results
# ---------------------------------------------------------------------------
# Test cases
# ---------------------------------------------------------------------------
class TestResetReturnsValidObservation(unittest.TestCase):
"""1.1.1 β reset(task_id=1) returns a valid observation."""
def test_reset_task1_done_false_reward_none(self) -> None:
env = _make_env()
obs = env.reset(seed=42, task_id=1)
self.assertIsInstance(obs, HelpdeskTicketObservation)
self.assertFalse(obs.done)
self.assertIsNone(obs.reward)
self.assertEqual(obs.task_id, 1)
self.assertIsNotNone(obs.current_ticket)
self.assertGreater(obs.queue_size, 0)
self.assertEqual(obs.tickets_processed, 0)
self.assertEqual(obs.queue_position, 1)
self.assertEqual(obs.tickets_after_current, max(0, obs.queue_size - 1))
class TestResetAllTaskIds(unittest.TestCase):
"""1.1.2 β reset(task_id=2) and reset(task_id=3) return valid observations."""
def _assert_valid_reset_obs(self, obs: HelpdeskTicketObservation, task_id: int) -> None:
self.assertIsInstance(obs, HelpdeskTicketObservation)
self.assertFalse(obs.done)
self.assertIsNone(obs.reward)
self.assertEqual(obs.task_id, task_id)
self.assertIsNotNone(obs.current_ticket)
self.assertGreater(obs.queue_size, 0)
self.assertEqual(obs.tickets_processed, 0)
# allowed_fields must match the task definition
self.assertEqual(obs.allowed_fields, TASKS[task_id]["allowed_fields"])
self.assertEqual(obs.queue_position, 1)
def test_reset_task2(self) -> None:
env = _make_env()
obs = env.reset(seed=42, task_id=2)
self._assert_valid_reset_obs(obs, 2)
self.assertIn("defer", obs.available_action_types)
self.assertIn("lookup_queue_cluster_summary", obs.available_tools)
def test_reset_task3(self) -> None:
env = _make_env()
obs = env.reset(seed=42, task_id=3)
self._assert_valid_reset_obs(obs, 3)
class TestStepAdvancesTicketsProcessed(unittest.TestCase):
"""1.1.3 β step() increments tickets_processed by 1 and reward is in [0.0, 1.0]."""
def test_step_increments_tickets_processed(self) -> None:
from models import HelpdeskTicketAction
env = _make_env()
obs = env.reset(seed=42, task_id=1)
self.assertEqual(obs.tickets_processed, 0)
action = HelpdeskTicketAction(**_heuristic_action_dict(obs))
obs2 = env.step(action)
self.assertEqual(obs2.tickets_processed, 1)
if obs2.done:
self.assertEqual(obs2.queue_position, 0)
else:
self.assertEqual(obs2.queue_position, 2)
def test_step_reward_in_unit_interval(self) -> None:
from models import HelpdeskTicketAction
env = _make_env()
obs = env.reset(seed=42, task_id=1)
action = HelpdeskTicketAction(**_heuristic_action_dict(obs))
obs2 = env.step(action)
self.assertIsNotNone(obs2.reward)
self.assertGreaterEqual(obs2.reward, 0.0)
self.assertLessEqual(obs2.reward, 1.0)
class TestStateProperty(unittest.TestCase):
"""1.1.4 β state property returns HelpdeskTicketState with correct fields."""
def test_state_after_reset(self) -> None:
env = _make_env()
env.reset(seed=42, task_id=2)
state = env.state
self.assertIsInstance(state, HelpdeskTicketState)
self.assertEqual(state.current_task_id, 2)
self.assertEqual(state.seed, 42)
self.assertEqual(state.current_ticket_index, 0)
self.assertEqual(state.step_count, 0)
self.assertEqual(state.per_ticket_scores, [])
self.assertGreater(len(state.queue_ticket_ids), 0)
def test_state_after_step(self) -> None:
from models import HelpdeskTicketAction
env = _make_env()
obs = env.reset(seed=42, task_id=1)
action = HelpdeskTicketAction(**_heuristic_action_dict(obs))
env.step(action)
state = env.state
self.assertIsInstance(state, HelpdeskTicketState)
self.assertEqual(state.step_count, 1)
self.assertEqual(state.current_ticket_index, 1)
self.assertEqual(len(state.per_ticket_scores), 1)
self.assertGreaterEqual(state.per_ticket_scores[0], 0.0)
self.assertLessEqual(state.per_ticket_scores[0], 1.0)
def test_state_is_deep_copy(self) -> None:
"""Mutating the returned state must not affect the environment's internal state."""
env = _make_env()
env.reset(seed=42, task_id=1)
state = env.state
state.step_count = 999
self.assertEqual(env.state.step_count, 0)
class TestSeededDeterminism(unittest.TestCase):
"""1.1.5 β seeded resets with the same seed produce the same queue order."""
def test_same_seed_same_queue(self) -> None:
env = _make_env()
env.reset(seed=42, task_id=1)
queue_a = list(env.state.queue_ticket_ids)
env.reset(seed=42, task_id=1)
queue_b = list(env.state.queue_ticket_ids)
self.assertEqual(queue_a, queue_b)
def test_different_seeds_likely_different_queues(self) -> None:
"""Different seeds should (with very high probability) produce different queues."""
env = _make_env()
env.reset(seed=0, task_id=1)
queue_0 = list(env.state.queue_ticket_ids)
env.reset(seed=99999, task_id=1)
queue_99999 = list(env.state.queue_ticket_ids)
# Not guaranteed, but the probability of collision is negligible.
self.assertNotEqual(queue_0, queue_99999)
def test_seeded_reset_on_separate_env_instances(self) -> None:
"""Two independent env instances with the same seed must produce the same queue."""
env1 = _make_env()
env2 = _make_env()
env1.reset(seed=7, task_id=3)
env2.reset(seed=7, task_id=3)
self.assertEqual(env1.state.queue_ticket_ids, env2.state.queue_ticket_ids)
def test_task3_queue_sampling_includes_clustered_follow_on(self) -> None:
env = _make_env()
env.reset(seed=42, task_id=3, queue_size=5)
cluster_ids = [
ticket.service_cluster_id for ticket in env._queue if ticket.service_cluster_id
]
repeated_cluster_ids = {
cluster_id for cluster_id in cluster_ids if cluster_ids.count(cluster_id) >= 2
}
self.assertTrue(
repeated_cluster_ids,
f"Expected at least one repeated service_cluster_id in task 3 queue, got {cluster_ids}",
)
def test_task2_queue_sampling_includes_clustered_follow_on(self) -> None:
env = _make_env()
env.reset(seed=42, task_id=2, queue_size=5)
cluster_ids = [
ticket.service_cluster_id for ticket in env._queue if ticket.service_cluster_id
]
repeated_cluster_ids = {
cluster_id for cluster_id in cluster_ids if cluster_ids.count(cluster_id) >= 2
}
self.assertTrue(
repeated_cluster_ids,
f"Expected at least one repeated service_cluster_id in task 2 queue, got {cluster_ids}",
)
class TestPerTicketScoreBounds(unittest.TestCase):
"""1.1.6 β all per-ticket scores stay in [0.0, 1.0] across a full episode."""
def _assert_scores_in_bounds(self, task_id: int) -> None:
env = _make_env()
_run_full_episode(env, task_id=task_id, seed=42)
state = env.state
for score in state.per_ticket_scores:
self.assertGreaterEqual(score, 0.0, f"task {task_id}: score {score} < 0")
self.assertLessEqual(score, 1.0, f"task {task_id}: score {score} > 1")
def test_scores_in_bounds_task1(self) -> None:
self._assert_scores_in_bounds(1)
def test_scores_in_bounds_task2(self) -> None:
self._assert_scores_in_bounds(2)
def test_scores_in_bounds_task3(self) -> None:
self._assert_scores_in_bounds(3)
class TestFullEpisodeCompletion(unittest.TestCase):
"""1.1.7 β one full episode per task completes without unhandled exceptions."""
def _run_and_assert_episode(self, task_id: int) -> None:
env = _make_env()
results = _run_full_episode(env, task_id=task_id, seed=42)
# At least one step was taken
self.assertGreater(len(results), 0)
# Final observation must be done
final_obs, final_reward = results[-1]
self.assertTrue(final_obs.done)
# Final reward must be in [0.0, 1.0]
self.assertIsNotNone(final_reward)
self.assertGreaterEqual(final_reward, 0.0)
self.assertLessEqual(final_reward, 1.0)
# tickets_processed must equal queue_size at end
self.assertEqual(final_obs.tickets_processed, final_obs.queue_size)
def test_full_episode_task1(self) -> None:
self._run_and_assert_episode(1)
def test_full_episode_task2(self) -> None:
self._run_and_assert_episode(2)
def test_full_episode_task3(self) -> None:
self._run_and_assert_episode(3)
if __name__ == "__main__":
unittest.main()
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