Coverage for agentos/core/background.py: 97%

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1""" 

2Production-grade background task execution framework. 

3 

4Supports: 

5- Fire-and-forget tasks 

6- Scheduled tasks (cron-like + interval) 

7- Task queues with worker pools 

8- Retry policies with backoff 

9- Task state tracking (pending/running/done/failed/cancelled) 

10- Concurrency limiting (semaphore) 

11- Graceful shutdown 

12- Task result storage 

13 

14Copyright 2026 AgentOS. All rights reserved. 

15""" 

16 

17from __future__ import annotations 

18 

19import asyncio 

20import random 

21import time 

22import uuid 

23from dataclasses import dataclass, field 

24from enum import Enum, auto 

25from typing import ( 

26 Any, Awaitable, Callable, Dict, Generic, List, Optional, Tuple, TypeVar, 

27 Union, 

28) 

29import logging 

30 

31logger = logging.getLogger("agentos.background") 

32 

33T = TypeVar("T") 

34 

35# --------------------------------------------------------------------------- 

36# Task State 

37# --------------------------------------------------------------------------- 

38 

39class TaskState(Enum): 

40 PENDING = auto() 

41 RUNNING = auto() 

42 DONE = auto() 

43 FAILED = auto() 

44 CANCELLED = auto() 

45 RETRYING = auto() 

46 

47 

48@dataclass 

49class TaskResult(Generic[T]): 

50 task_id: str 

51 state: TaskState 

52 result: Optional[T] = None 

53 error: Optional[Exception] = None 

54 started_at: Optional[float] = None 

55 finished_at: Optional[float] = None 

56 retries: int = 0 

57 metadata: Dict[str, Any] = field(default_factory=dict) 

58 

59 @property 

60 def duration(self) -> Optional[float]: 

61 if self.started_at and self.finished_at: 

62 return self.finished_at - self.started_at 

63 return None 

64 

65 

66# --------------------------------------------------------------------------- 

67# Retry Policy 

68# --------------------------------------------------------------------------- 

69 

70@dataclass 

71class RetryPolicy: 

72 max_retries: int = 3 

73 base_delay: float = 1.0 

74 max_delay: float = 60.0 

75 backoff_factor: float = 2.0 

76 jitter: bool = True 

77 retry_on: Tuple[type, ...] = (Exception,) 

78 

79 def delay(self, attempt: int) -> float: 

80 d = min(self.base_delay * (self.backoff_factor ** attempt), self.max_delay) 

81 if self.jitter: 

82 d *= 0.5 + random.uniform(0, 0.5) 

83 return d 

84 

85 

86# --------------------------------------------------------------------------- 

87# Schedule 

88# --------------------------------------------------------------------------- 

89 

90@dataclass(frozen=True) 

91class CronSchedule: 

92 """Simple cron-like schedule (minute hour day_of_month month day_of_week).""" 

93 minute: str = "*" 

94 hour: str = "*" 

95 day_of_month: str = "*" 

96 month: str = "*" 

97 day_of_week: str = "*" 

98 

99 

100@dataclass(frozen=True) 

101class IntervalSchedule: 

102 """Run every N seconds.""" 

103 seconds: float 

104 align_to_start: bool = True # drift correction 

105 

106 

107Schedule = Union[CronSchedule, IntervalSchedule, float] 

108 

109 

110# --------------------------------------------------------------------------- 

111# Task Definition 

112# --------------------------------------------------------------------------- 

113 

114@dataclass 

115class TaskDef: 

116 func: Callable[..., Any] 

117 args: tuple = () 

118 kwargs: Dict[str, Any] = field(default_factory=dict) 

119 task_id: str = "" 

120 retry_policy: Optional[RetryPolicy] = None 

121 timeout: Optional[float] = None 

122 schedule: Optional[Schedule] = None 

123 name: str = "" 

124 

125 def __post_init__(self): 

126 if not self.task_id: 

127 self.task_id = uuid.uuid4().hex[:12] 

128 if not self.name: 

129 self.name = self.func.__name__ if hasattr(self.func, "__name__") else self.task_id 

130 

131 

132# --------------------------------------------------------------------------- 

133# Background Executor 

134# --------------------------------------------------------------------------- 

135 

136class TaskQueue: 

137 """Bounded async task queue with priority.""" 

138 

139 def __init__(self, maxsize: int = 0): 

140 self._queue: asyncio.Queue = asyncio.Queue(maxsize=maxsize) 

141 

142 async def put(self, task: TaskDef) -> None: 

143 await self._queue.put(task) 

144 

145 async def get(self) -> TaskDef: 

146 return await self._queue.get() 

147 

148 def task_done(self) -> None: 

149 self._queue.task_done() 

150 

151 async def join(self) -> None: 

152 await self._queue.join() 

153 

154 @property 

155 def qsize(self) -> int: 

156 return self._queue.qsize() 

157 

158 @property 

159 def empty(self) -> bool: 

160 return self._queue.empty() 

161 

162 

163class BackgroundExecutor: 

164 """Main background task execution engine. 

165 

166 Usage: 

167 executor = BackgroundExecutor(max_concurrency=10) 

168 result = await executor.submit(my_func, arg1, arg2, retry=RetryPolicy(3)) 

169 

170 @executor.scheduled(every=60) 

171 async def cleanup_job(): 

172 ... 

173 

174 await executor.start() 

175 # ... app runs ... 

176 await executor.shutdown() 

177 """ 

178 

179 def __init__( 

180 self, 

181 max_concurrency: int = 10, 

182 queue_size: int = 0, 

183 ): 

184 self._max_concurrency = max_concurrency 

185 self._semaphore = asyncio.Semaphore(max_concurrency) 

186 self._queue = TaskQueue(maxsize=queue_size) 

187 self._results: Dict[str, TaskResult] = {} 

188 self._scheduled: List[Tuple[Schedule, TaskDef]] = [] 

189 self._workers: List[asyncio.Task] = [] 

190 self._scheduler_task: Optional[asyncio.Task] = None 

191 self._running = False 

192 self._shutting_down = False 

193 self._accepting = True 

194 self._cleanup_interval = 3600.0 # auto-clean results older than this 

195 

196 # -- Lifecycle -- 

197 

198 async def start(self, num_workers: int = 4) -> None: 

199 if self._running: 

200 return 

201 self._running = True 

202 self._workers = [ 

203 asyncio.create_task(self._worker(i), name=f"bg-worker-{i}") 

204 for i in range(num_workers) 

205 ] 

206 if self._scheduled: 

207 self._scheduler_task = asyncio.create_task( 

208 self._scheduler(), name="bg-scheduler" 

209 ) 

210 logger.info( 

211 "BackgroundExecutor started: workers=%d, scheduled=%d", 

212 num_workers, len(self._scheduled), 

213 ) 

214 

215 async def shutdown(self, timeout: float = 30.0) -> None: 

216 if not self._running: 

217 return 

218 self._accepting = False 

219 logger.info("BackgroundExecutor shutting down (draining queue)...") 

220 

221 # Cancel scheduler 

222 if self._scheduler_task: 

223 self._scheduler_task.cancel() 

224 try: 

225 await self._scheduler_task 

226 except asyncio.CancelledError: 

227 pass 

228 

229 # Wait for queue to drain while workers are still running 

230 try: 

231 await asyncio.wait_for(self._queue.join(), timeout=timeout) 

232 except asyncio.TimeoutError: 

233 logger.warning("Queue drain timed out after %.1fs", timeout) 

234 

235 # Now stop workers 

236 self._shutting_down = True 

237 for worker in self._workers: 

238 worker.cancel() 

239 results = await asyncio.gather(*self._workers, return_exceptions=True) 

240 for r in results: 

241 if isinstance(r, Exception) and not isinstance(r, asyncio.CancelledError): 

242 logger.error("Worker error during shutdown: %s", r) 

243 

244 self._workers.clear() 

245 self._running = False 

246 self._shutting_down = False 

247 logger.info("BackgroundExecutor shut down") 

248 

249 # -- Submission -- 

250 

251 async def submit( 

252 self, 

253 func: Callable[..., Awaitable[T]], 

254 *args: Any, 

255 retry_policy: Optional[RetryPolicy] = None, 

256 timeout: Optional[float] = None, 

257 task_id: Optional[str] = None, 

258 **kwargs: Any, 

259 ) -> TaskResult[T]: 

260 """Submit a task and wait for its result.""" 

261 if not self._accepting: 

262 raise RuntimeError("Executor is shutting down, not accepting tasks") 

263 td = TaskDef( 

264 func=func, args=args, kwargs=kwargs, 

265 task_id=task_id or uuid.uuid4().hex[:12], 

266 retry_policy=retry_policy, timeout=timeout, 

267 name=func.__name__ if hasattr(func, "__name__") else "anonymous", 

268 ) 

269 async with self._semaphore: 

270 return await self._execute(td) 

271 

272 async def submit_async(self, func: Callable, *args: Any, 

273 retry_policy: Optional[RetryPolicy] = None, 

274 timeout: Optional[float] = None, 

275 task_id: Optional[str] = None, 

276 **kwargs: Any) -> str: 

277 """Fire-and-forget: enqueue and return task_id immediately.""" 

278 td = TaskDef( 

279 func=func, args=args, kwargs=kwargs, 

280 task_id=task_id or uuid.uuid4().hex[:12], 

281 retry_policy=retry_policy, timeout=timeout, 

282 name=func.__name__ if hasattr(func, "__name__") else "anonymous", 

283 ) 

284 await self._queue.put(td) 

285 return td.task_id 

286 

287 def scheduled(self, every: Schedule, retry_policy: Optional[RetryPolicy] = None): 

288 """Decorator for recurring scheduled tasks.""" 

289 def decorator(fn): 

290 td = TaskDef( 

291 func=fn, retry_policy=retry_policy, schedule=every, 

292 ) 

293 self._scheduled.append((every, td)) 

294 return fn 

295 return decorator 

296 

297 # -- Result access -- 

298 

299 def get_result(self, task_id: str) -> Optional[TaskResult]: 

300 return self._results.get(task_id) 

301 

302 async def wait_for(self, task_id: str, timeout: Optional[float] = None) -> TaskResult: 

303 deadline = time.monotonic() + timeout if timeout else None 

304 while True: 

305 result = self._results.get(task_id) 

306 if result and result.state not in (TaskState.PENDING, TaskState.RUNNING, TaskState.RETRYING): 

307 return result 

308 if deadline and time.monotonic() > deadline: 

309 raise asyncio.TimeoutError(f"Task {task_id} did not complete within {timeout}s") 

310 await asyncio.sleep(0.05) 

311 

312 # -- Internal -- 

313 

314 async def _worker(self, worker_id: int): 

315 while not self._shutting_down: 

316 try: 

317 td = await self._queue.get() 

318 except asyncio.CancelledError: 

319 break 

320 async with self._semaphore: 

321 try: 

322 await self._execute(td) 

323 finally: 

324 self._queue.task_done() 

325 

326 async def _execute(self, td: TaskDef) -> TaskResult: 

327 result = TaskResult(task_id=td.task_id, state=TaskState.PENDING) 

328 self._results[td.task_id] = result 

329 

330 attempts = 1 + (td.retry_policy.max_retries if td.retry_policy else 0) 

331 for attempt in range(attempts): 

332 result.state = TaskState.RUNNING if attempt == 0 else TaskState.RETRYING 

333 result.started_at = time.monotonic() 

334 try: 

335 coro = td.func(*td.args, **td.kwargs) 

336 if td.timeout is not None: 

337 value = await asyncio.wait_for(coro, timeout=td.timeout) 

338 else: 

339 value = await coro 

340 result.result = value 

341 result.state = TaskState.DONE 

342 result.finished_at = time.monotonic() 

343 return result 

344 except asyncio.CancelledError: 

345 result.state = TaskState.CANCELLED 

346 result.finished_at = time.monotonic() 

347 raise 

348 except Exception as exc: 

349 if td.retry_policy: 

350 if not isinstance(exc, td.retry_policy.retry_on): 

351 result.state = TaskState.FAILED 

352 result.error = exc 

353 result.finished_at = time.monotonic() 

354 return result 

355 if attempt < td.retry_policy.max_retries: 

356 delay = td.retry_policy.delay(attempt) 

357 logger.debug( 

358 "Task %s retry %d/%d in %.1fs: %s", 

359 td.task_id, attempt + 1, td.retry_policy.max_retries, 

360 delay, exc, 

361 ) 

362 await asyncio.sleep(delay) 

363 result.retries += 1 

364 continue 

365 result.state = TaskState.FAILED 

366 result.error = exc 

367 result.finished_at = time.monotonic() 

368 return result 

369 

370 result.state = TaskState.FAILED 

371 result.finished_at = time.monotonic() 

372 return result 

373 

374 async def _scheduler(self): 

375 """Run scheduled tasks at their intervals.""" 

376 last_runs: Dict[str, float] = {} 

377 while not self._shutting_down: 

378 now = time.monotonic() 

379 for schedule, td in self._scheduled: 

380 next_run = self._next_run(schedule, last_runs.get(td.task_id, 0), now) 

381 if next_run is not None and now >= next_run: 

382 last_runs[td.task_id] = now 

383 await self._queue.put(TaskDef( 

384 func=td.func, args=td.args, kwargs=td.kwargs, 

385 task_id=f"{td.task_id}-{int(now)}", 

386 retry_policy=td.retry_policy, timeout=td.timeout, 

387 name=td.name, 

388 )) 

389 await asyncio.sleep(0.1) 

390 

391 @staticmethod 

392 def _next_run(schedule: Schedule, last: float, now: float) -> Optional[float]: 

393 if isinstance(schedule, (int, float)): 

394 nxt = last + schedule 

395 return nxt if nxt <= now else None 

396 if isinstance(schedule, IntervalSchedule): 

397 if last == 0: 

398 return now # first run: fire immediately 

399 return last + schedule.seconds 

400 # CronSchedule — simplified: just interval-based for now 

401 return None 

402 

403 

404# --------------------------------------------------------------------------- 

405# Global singleton 

406# --------------------------------------------------------------------------- 

407 

408_default_executor: Optional[BackgroundExecutor] = None 

409 

410 

411def get_background_executor() -> BackgroundExecutor: 

412 global _default_executor 

413 if _default_executor is None: 

414 _default_executor = BackgroundExecutor() 

415 return _default_executor 

416 

417 

418def set_background_executor(executor: BackgroundExecutor) -> None: 

419 global _default_executor 

420 _default_executor = executor