Coverage for little_loops / cli / sprint / run.py: 8%

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1"""ll-sprint run subcommand with signal handling and state management.""" 

2 

3from __future__ import annotations 

4 

5import os 

6import signal 

7import subprocess 

8import sys 

9import time 

10from pathlib import Path 

11from types import FrameType 

12from typing import TYPE_CHECKING 

13 

14from little_loops.cli.output import use_color_enabled 

15from little_loops.cli.sprint._helpers import _build_issue_contents, _render_dependency_analysis 

16from little_loops.cli_args import _id_matches, parse_issue_ids, parse_issue_types, parse_labels 

17from little_loops.dependency_graph import DependencyGraph, refine_waves_for_contention 

18from little_loops.issue_manager import IssueProcessingResult, process_issue_inplace 

19from little_loops.logger import Logger, format_duration 

20from little_loops.parallel.orchestrator import ParallelOrchestrator 

21from little_loops.parallel.types import SprintWorkerContext 

22from little_loops.sprint import SprintManager, SprintState 

23 

24if TYPE_CHECKING: 

25 import argparse 

26 

27 from little_loops.config import BRConfig 

28 from little_loops.issue_parser import IssueInfo 

29 

30# Module-level shutdown flag for ll-sprint signal handling (ENH-183) 

31_sprint_shutdown_requested: bool = False 

32_sprint_logger: Logger | None = None 

33 

34 

35class IssueWallClockTimeout(Exception): 

36 """Raised when an issue exceeds its per-issue wall-clock time budget (BUG-2144).""" 

37 

38 def __init__(self, issue_id: str) -> None: 

39 self.issue_id = issue_id 

40 super().__init__(f"{issue_id}: wall-clock timeout") 

41 

42 

43def _run_issue_with_wall_clock_timeout( 

44 issue: IssueInfo, 

45 config: BRConfig, 

46 logger: Logger, 

47 dry_run: bool, 

48 max_seconds: int, 

49 sprint_context: SprintWorkerContext | None = None, 

50) -> IssueProcessingResult: 

51 """Wrap process_issue_inplace with a SIGALRM-based wall-clock timeout. 

52 

53 If the issue takes longer than max_seconds (across all subprocess spawns, 

54 including Option J continuations), SIGALRM fires, IssueWallClockTimeout is 

55 raised, and a failed IssueProcessingResult with failure_reason=WALL_CLOCK_TIMEOUT 

56 is returned. The alarm is always cleared in the finally block. 

57 """ 

58 

59 def _timeout_handler(signum: int, frame: FrameType | None) -> None: 

60 raise IssueWallClockTimeout(issue.issue_id) 

61 

62 prev_handler = signal.signal(signal.SIGALRM, _timeout_handler) 

63 signal.alarm(max_seconds) 

64 issue_start = time.monotonic() 

65 try: 

66 return process_issue_inplace( 

67 info=issue, 

68 config=config, 

69 logger=logger, 

70 dry_run=dry_run, 

71 sprint_context=sprint_context, 

72 ) 

73 except IssueWallClockTimeout: 

74 elapsed = time.monotonic() - issue_start 

75 logger.error( 

76 f" {issue.issue_id}: wall-clock timeout after {int(elapsed)}s " 

77 f"(limit {max_seconds}s) — marking failed" 

78 ) 

79 return IssueProcessingResult( 

80 success=False, 

81 duration=elapsed, 

82 issue_id=issue.issue_id, 

83 failure_reason="WALL_CLOCK_TIMEOUT", 

84 ) 

85 finally: 

86 signal.alarm(0) 

87 signal.signal(signal.SIGALRM, prev_handler) 

88 

89 

90def _detect_current_branch() -> str: 

91 """Return the current git branch name, defaulting to 'main' on failure.""" 

92 result = subprocess.run( 

93 ["git", "rev-parse", "--abbrev-ref", "HEAD"], 

94 capture_output=True, 

95 text=True, 

96 ) 

97 return result.stdout.strip() if result.returncode == 0 else "main" 

98 

99 

100def _sprint_signal_handler(signum: int, frame: FrameType | None) -> None: 

101 """Handle shutdown signals gracefully for ll-sprint. 

102 

103 First signal: Set shutdown flag for graceful exit after current wave. 

104 Second signal: Force immediate exit. 

105 """ 

106 global _sprint_shutdown_requested 

107 if _sprint_shutdown_requested: 

108 # Second signal - force exit 

109 msg = "\nForce shutdown requested" 

110 if _sprint_logger is not None: 

111 _sprint_logger.warning(msg) 

112 else: 

113 print(msg, file=sys.stderr) 

114 sys.exit(1) 

115 _sprint_shutdown_requested = True 

116 msg = "\nShutdown requested, will exit after current wave..." 

117 if _sprint_logger is not None: 

118 _sprint_logger.warning(msg) 

119 else: 

120 print(msg, file=sys.stderr) 

121 

122 

123def _get_sprint_state_file() -> Path: 

124 """Get path to sprint state file.""" 

125 return Path.cwd() / ".sprint-state.json" 

126 

127 

128def _load_sprint_state(logger: Logger) -> SprintState | None: 

129 """Load sprint state from file.""" 

130 import json 

131 

132 state_file = _get_sprint_state_file() 

133 if not state_file.exists(): 

134 return None 

135 try: 

136 data = json.loads(state_file.read_text()) 

137 state = SprintState.from_dict(data) 

138 logger.info(f"State loaded from {state_file}") 

139 return state 

140 except (json.JSONDecodeError, KeyError) as e: 

141 logger.warning(f"Failed to load state: {e}") 

142 return None 

143 

144 

145def _save_sprint_state(state: SprintState, logger: Logger) -> None: 

146 """Save sprint state to file.""" 

147 import json 

148 from datetime import datetime 

149 

150 state.last_checkpoint = datetime.now().isoformat() 

151 state_file = _get_sprint_state_file() 

152 state_file.write_text(json.dumps(state.to_dict(), indent=2)) 

153 logger.info(f"State saved to {state_file}") 

154 

155 

156def _cleanup_sprint_state(logger: Logger) -> None: 

157 """Remove sprint state file.""" 

158 state_file = _get_sprint_state_file() 

159 if state_file.exists(): 

160 state_file.unlink() 

161 logger.info("Sprint state file cleaned up") 

162 

163 

164def _cmd_sprint_run( 

165 args: argparse.Namespace, 

166 manager: SprintManager, 

167 config: BRConfig, 

168) -> int: 

169 """Execute a sprint with dependency-aware scheduling.""" 

170 from datetime import datetime 

171 

172 global _sprint_logger 

173 logger = Logger(verbose=not args.quiet, use_color=use_color_enabled()) 

174 _sprint_logger = logger 

175 

176 # Setup signal handlers for graceful shutdown (ENH-183) 

177 global _sprint_shutdown_requested 

178 _sprint_shutdown_requested = False # Reset in case of multiple runs 

179 signal.signal(signal.SIGINT, _sprint_signal_handler) 

180 signal.signal(signal.SIGTERM, _sprint_signal_handler) 

181 

182 handoff_threshold = getattr(args, "handoff_threshold", None) 

183 if handoff_threshold is not None: 

184 os.environ["LL_HANDOFF_THRESHOLD"] = str(handoff_threshold) 

185 

186 context_limit = getattr(args, "context_limit", None) 

187 if context_limit is not None: 

188 os.environ["LL_CONTEXT_LIMIT"] = str(context_limit) 

189 

190 sprint = manager.load_or_resolve(args.sprint) 

191 if not sprint: 

192 logger.error(f"Sprint not found: {args.sprint}") 

193 return 1 

194 

195 if not sprint.issues: 

196 logger.info(f"Sprint '{sprint.name}' has no active issues — nothing to process") 

197 return 0 

198 

199 if getattr(args, "save", False): 

200 saved_path = sprint.save(manager.sprints_dir) 

201 logger.info(f"Sprint saved to {saved_path}") 

202 

203 # Apply skip filter if provided 

204 issues_to_process = list(sprint.issues) 

205 skip_ids = parse_issue_ids(args.skip) 

206 if skip_ids: 

207 original_count = len(issues_to_process) 

208 issues_to_process = [i for i in issues_to_process if i not in skip_ids] 

209 skipped = original_count - len(issues_to_process) 

210 if skipped > 0: 

211 logger.info(f"Skipping {skipped} issue(s): {', '.join(sorted(skip_ids))}") 

212 

213 # Apply only filter if provided 

214 only_ids = parse_issue_ids(getattr(args, "only", None)) 

215 if only_ids: 

216 invalid_only = {p for p in only_ids if not any(_id_matches(i, p) for i in sprint.issues)} 

217 if invalid_only: 

218 logger.error( 

219 f"Issue(s) not found in sprint definition: {', '.join(sorted(invalid_only))}" 

220 ) 

221 return 1 

222 issues_to_process = [ 

223 i for i in issues_to_process if any(_id_matches(i, p) for p in only_ids) 

224 ] 

225 logger.info( 

226 f"Processing only {len(issues_to_process)} issue(s): {', '.join(sorted(only_ids))}" 

227 ) 

228 

229 # Apply type filter if provided 

230 type_prefixes = parse_issue_types(getattr(args, "type", None)) 

231 if type_prefixes: 

232 original_count = len(issues_to_process) 

233 issues_to_process = [i for i in issues_to_process if i.split("-", 1)[0] in type_prefixes] 

234 filtered = original_count - len(issues_to_process) 

235 if filtered > 0: 

236 logger.info(f"Filtered {filtered} issue(s) by type: {', '.join(sorted(type_prefixes))}") 

237 

238 # Pre-validate: skip issues with status: done/cancelled (ENH-1424) 

239 pre_completed_skipped: list[str] = [] 

240 

241 # Validate issues exist 

242 valid = manager.validate_issues(issues_to_process) 

243 invalid = set(issues_to_process) - set(valid.keys()) 

244 

245 if invalid: 

246 logger.error(f"Issue IDs not found: {', '.join(sorted(invalid))}") 

247 logger.info("Cannot execute sprint with missing issues") 

248 return 1 

249 

250 # Write milestone: field back to issue files for all valid issues in this sprint 

251 from little_loops.frontmatter import parse_frontmatter, update_frontmatter 

252 

253 for _issue_id, path in valid.items(): 

254 content = path.read_text(encoding="utf-8") 

255 updated = update_frontmatter(content, {"milestone": sprint.name}) 

256 if updated != content: 

257 path.write_text(updated, encoding="utf-8") 

258 logger.info(f"Set milestone: {sprint.name!r} on {len(valid)} issue file(s)") 

259 

260 # Skip issues already completed via frontmatter status (ENH-1424) 

261 still_active: list[str] = [] 

262 for issue_id in issues_to_process: 

263 path = valid[issue_id] 

264 fm = parse_frontmatter(path.read_text(encoding="utf-8")) 

265 if fm.get("status", "open") in ("done", "cancelled"): 

266 logger.info(f" {issue_id}: already completed (status: {fm.get('status')}), skipping") 

267 pre_completed_skipped.append(issue_id) 

268 else: 

269 still_active.append(issue_id) 

270 if pre_completed_skipped: 

271 logger.info( 

272 f"Pre-validation: {len(pre_completed_skipped)} issue(s) already completed, " 

273 f"{len(still_active)} active" 

274 ) 

275 issues_to_process = still_active 

276 

277 if pre_completed_skipped and not issues_to_process: 

278 logger.info("All sprint issues already completed - nothing to process") 

279 return 0 

280 

281 # Load full IssueInfo objects for dependency analysis 

282 issue_infos = manager.load_issue_infos(issues_to_process) 

283 if not issue_infos: 

284 logger.error("No issue files found") 

285 return 1 

286 

287 # Apply label filter if provided (must run after IssueInfo load since labels come from frontmatter) 

288 label_filter = parse_labels(getattr(args, "label", None)) 

289 if label_filter: 

290 original_count = len(issue_infos) 

291 issue_infos = [i for i in issue_infos if any(lb.lower() in label_filter for lb in i.labels)] 

292 filtered = original_count - len(issue_infos) 

293 if filtered > 0: 

294 logger.info(f"Filtered {filtered} issue(s) by label: {', '.join(sorted(label_filter))}") 

295 issues_to_process = [i.issue_id for i in issue_infos] 

296 

297 # Gather all issue IDs on disk to avoid false "nonexistent" warnings 

298 from little_loops.dependency_mapper import gather_all_issue_ids 

299 

300 issues_dir = config.project_root / config.issues.base_dir 

301 all_known_ids = gather_all_issue_ids(issues_dir, config=config) 

302 

303 # Dependency analysis (ENH-301) 

304 if not getattr(args, "skip_analysis", False): 

305 from little_loops.dependency_mapper import analyze_dependencies 

306 

307 issue_contents = _build_issue_contents(issue_infos) 

308 dep_config = config.dependency_mapping 

309 dep_report = analyze_dependencies( 

310 issue_infos, issue_contents, all_known_ids=all_known_ids, config=dep_config 

311 ) 

312 _render_dependency_analysis(dep_report, logger, config=dep_config) 

313 

314 # Build dependency graph 

315 dep_graph = DependencyGraph.from_issues(issue_infos, all_known_ids=all_known_ids) 

316 

317 # Detect cycles 

318 if dep_graph.has_cycles(): 

319 cycles = dep_graph.detect_cycles() 

320 for cycle in cycles: 

321 logger.error(f"Dependency cycle detected: {' -> '.join(cycle)}") 

322 return 1 

323 

324 # Get execution waves 

325 try: 

326 waves = dep_graph.get_execution_waves() 

327 except ValueError as e: 

328 logger.error(str(e)) 

329 return 1 

330 

331 # Refine waves for file overlap (ENH-306) 

332 waves, contention_notes = refine_waves_for_contention(waves, config=config.dependency_mapping) 

333 

334 # Display execution plan 

335 logger.info(f"Running sprint: {sprint.name}") 

336 logger.info("Dependency analysis:") 

337 for i, wave in enumerate(waves, 1): 

338 issue_ids = ", ".join(issue.issue_id for issue in wave) 

339 note = contention_notes[i - 1] if contention_notes else None 

340 if note: 

341 logger.info( 

342 f" Wave {i}: {issue_ids}" 

343 f" [sub-wave {note.sub_wave_index + 1}/{note.total_sub_waves}]" 

344 ) 

345 else: 

346 logger.info(f" Wave {i}: {issue_ids}") 

347 

348 # Warn when issues were serialized conservatively due to missing file hints (BUG-2142) 

349 if any(n is not None and getattr(n, "has_unknown_hints", False) for n in contention_notes): 

350 logger.warning( 

351 "Some issues lack '### Files to Modify' sections — serialized conservatively." 

352 " Add file hints for more accurate wave scheduling." 

353 ) 

354 

355 if args.dry_run: 

356 logger.info("\nDry run mode - no changes will be made") 

357 return 0 

358 

359 # Initialize or load state 

360 state: SprintState 

361 start_wave = 1 

362 

363 if args.resume: 

364 loaded_state = _load_sprint_state(logger) 

365 if loaded_state and loaded_state.sprint_name == sprint.name: 

366 state = loaded_state 

367 # Find first incomplete wave by checking completed issues 

368 completed_set = set(state.completed_issues) 

369 for i, wave in enumerate(waves, 1): 

370 wave_issue_ids = {issue.issue_id for issue in wave} 

371 if not wave_issue_ids.issubset(completed_set): 

372 start_wave = i 

373 break 

374 else: 

375 # All waves completed 

376 logger.info("Sprint already completed - nothing to resume") 

377 _cleanup_sprint_state(logger) 

378 return 0 

379 logger.info(f"Resuming from wave {start_wave}/{len(waves)}") 

380 logger.info(f" Previously completed: {len(state.completed_issues)} issues") 

381 else: 

382 if loaded_state: 

383 logger.warning( 

384 f"State file is for sprint '{loaded_state.sprint_name}', " 

385 f"not '{sprint.name}' - starting fresh" 

386 ) 

387 else: 

388 logger.warning("No valid state found - starting fresh") 

389 state = SprintState( 

390 sprint_name=sprint.name, 

391 started_at=datetime.now().isoformat(), 

392 ) 

393 else: 

394 # Fresh start - delete any old state 

395 _cleanup_sprint_state(logger) 

396 state = SprintState( 

397 sprint_name=sprint.name, 

398 started_at=datetime.now().isoformat(), 

399 ) 

400 

401 # Track exit status for error handling (ENH-185) 

402 exit_code = 0 

403 

404 try: 

405 # Determine max workers 

406 max_workers = args.max_workers or (sprint.options.max_workers if sprint.options else 2) 

407 

408 # Execute wave by wave 

409 completed: set[str] = set(state.completed_issues) 

410 failed_waves = 0 

411 total_duration = 0.0 

412 total_waves = len(waves) 

413 _fb_warning_emitted = False # deduplicate: fire once per sprint run (ENH-2176) 

414 

415 for wave_num, wave in enumerate(waves, 1): 

416 # Check for shutdown request (ENH-183) 

417 if _sprint_shutdown_requested: 

418 logger.warning("Shutdown requested - saving state and exiting") 

419 _save_sprint_state(state, logger) 

420 exit_code = 1 

421 return exit_code 

422 

423 # Skip already-completed waves when resuming 

424 if wave_num < start_wave: 

425 continue 

426 

427 wave_ids = [issue.issue_id for issue in wave] 

428 state.current_wave = wave_num 

429 logger.info(f"\nProcessing wave {wave_num}/{total_waves}: {', '.join(wave_ids)}") 

430 

431 wave_note = ( 

432 contention_notes[wave_num - 1] 

433 if contention_notes and wave_num - 1 < len(contention_notes) 

434 else None 

435 ) 

436 is_contention_subwave = wave_note is not None 

437 

438 if len(wave) == 1 or is_contention_subwave: 

439 # Single issue OR contention sub-wave — process in-place sequentially 

440 # (contention sub-waves are displayed as "serialized steps" so must run that way) 

441 max_wall_clock = config.sprints.max_issue_wall_clock_time 

442 

443 wave_failed = False 

444 _current_branch = _detect_current_branch() 

445 effective_feature_branches = ( 

446 args.feature_branches 

447 if args.feature_branches is not None 

448 else config.parallel.use_feature_branches 

449 ) 

450 if effective_feature_branches and not _fb_warning_emitted: 

451 logger.warning( 

452 "feature-branch mode does not apply to single-issue / contention" 

453 f" sub-waves; these issues run in-place on '{_current_branch}'" 

454 ) 

455 _fb_warning_emitted = True 

456 for issue in wave: 

457 # TODO(ENH-1686): sprint sequential path not yet live-written 

458 issue_result = _run_issue_with_wall_clock_timeout( 

459 issue=issue, 

460 config=config, 

461 logger=logger, 

462 dry_run=args.dry_run, 

463 max_seconds=max_wall_clock, 

464 sprint_context=SprintWorkerContext( 

465 issue_id=issue.issue_id, 

466 branch=_current_branch, 

467 ), 

468 ) 

469 total_duration += issue_result.duration 

470 if issue_result.success: 

471 completed.add(issue.issue_id) 

472 state.completed_issues.append(issue.issue_id) 

473 state.timing[issue.issue_id] = {"total": issue_result.duration} 

474 logger.success(f" {issue.issue_id}: completed") 

475 elif issue_result.was_blocked: 

476 completed.add(issue.issue_id) 

477 state.skipped_blocked_issues[issue.issue_id] = issue_result.failure_reason 

478 logger.warning(f" {issue.issue_id}: skipped (blocked by open dependency)") 

479 else: 

480 wave_failed = True 

481 completed.add(issue.issue_id) 

482 state.failed_issues[issue.issue_id] = ( 

483 issue_result.failure_reason or "Issue processing failed" 

484 ) 

485 logger.warning(f" {issue.issue_id}: failed") 

486 if wave_failed: 

487 failed_waves += 1 

488 logger.warning(f"Wave {wave_num}/{total_waves} had failures") 

489 else: 

490 logger.success( 

491 f"Wave {wave_num}/{total_waves} completed: {', '.join(wave_ids)}" 

492 ) 

493 _save_sprint_state(state, logger) 

494 if wave_num < total_waves: 

495 logger.info(f"Continuing to wave {wave_num + 1}/{total_waves}...") 

496 # Check for shutdown before next wave (ENH-183) 

497 if _sprint_shutdown_requested: 

498 logger.warning("Shutdown requested - exiting after wave completion") 

499 exit_code = 1 

500 return exit_code 

501 else: 

502 # Multi-issue — use ParallelOrchestrator with worktrees 

503 only_ids = set(wave_ids) 

504 # Detect current branch for rebase/merge operations (BUG-439) 

505 _br = subprocess.run( 

506 ["git", "rev-parse", "--abbrev-ref", "HEAD"], 

507 capture_output=True, 

508 text=True, 

509 cwd=Path.cwd(), 

510 ) 

511 _base_branch = _br.stdout.strip() if _br.returncode == 0 else "main" 

512 # Runtime overlap detection disabled for sprints (ENH-512): 

513 # refine_waves_for_contention() already splits overlapping 

514 # issues into separate sub-waves before dispatch. 

515 parallel_config = config.create_parallel_config( 

516 max_workers=min(max_workers, len(wave)), 

517 only_ids=only_ids, 

518 dry_run=args.dry_run, 

519 overlap_detection=False, 

520 serialize_overlapping=True, 

521 base_branch=_base_branch, 

522 clean_start=True, # Sprint manages its own state; don't load stale orchestrator state 

523 use_feature_branches=args.feature_branches, 

524 ) 

525 

526 from little_loops.events import EventBus 

527 from little_loops.extension import wire_extensions 

528 from little_loops.transport import wire_transports 

529 

530 event_bus = EventBus() 

531 wire_extensions(event_bus, config.extensions) 

532 wire_transports(event_bus, config.events) 

533 orchestrator = ParallelOrchestrator( 

534 parallel_config, 

535 config, 

536 Path.cwd(), 

537 wave_label=f"Wave {wave_num}/{total_waves}", 

538 event_bus=event_bus, 

539 ) 

540 result = orchestrator.run() 

541 total_duration += orchestrator.execution_duration 

542 

543 # Track completed/failed from this wave using per-issue results 

544 actually_completed = set(orchestrator.queue.completed_ids) 

545 actually_failed = set(orchestrator.queue.failed_ids) 

546 

547 for issue_id in wave_ids: 

548 if issue_id in actually_completed: 

549 completed.add(issue_id) 

550 state.completed_issues.append(issue_id) 

551 state.timing[issue_id] = { 

552 "total": orchestrator.execution_duration / len(wave) 

553 } 

554 elif issue_id in actually_failed: 

555 completed.add(issue_id) 

556 state.failed_issues[issue_id] = "Issue failed during wave execution" 

557 # else: issue was neither completed nor failed (interrupted/stranded) 

558 # — leave untracked so it can be retried on resume 

559 

560 # Sequential retry for failed issues (ENH-308) 

561 if actually_failed: 

562 logger.info(f"Retrying {len(actually_failed)} failed issue(s) sequentially...") 

563 retried_ok = 0 

564 for issue in wave: 

565 if issue.issue_id not in actually_failed: 

566 continue 

567 logger.info(f" Retrying {issue.issue_id} in-place...") 

568 # TODO(ENH-1686): sprint sequential path not yet live-written 

569 retry_result = process_issue_inplace( 

570 info=issue, 

571 config=config, 

572 logger=logger, 

573 dry_run=args.dry_run, 

574 sprint_context=SprintWorkerContext( 

575 issue_id=issue.issue_id, 

576 branch=_detect_current_branch(), 

577 ), 

578 ) 

579 total_duration += retry_result.duration 

580 if retry_result.success: 

581 retried_ok += 1 

582 state.failed_issues.pop(issue.issue_id, None) 

583 state.completed_issues.append(issue.issue_id) 

584 state.timing[issue.issue_id] = {"total": retry_result.duration} 

585 logger.success(f" Retry succeeded: {issue.issue_id}") 

586 elif retry_result.was_blocked: 

587 state.failed_issues.pop(issue.issue_id, None) 

588 state.skipped_blocked_issues[issue.issue_id] = ( 

589 retry_result.failure_reason 

590 ) 

591 logger.warning( 

592 f" Retry skipped: {issue.issue_id} (blocked by open dependency)" 

593 ) 

594 else: 

595 logger.warning(f" Retry failed: {issue.issue_id}") 

596 if retried_ok > 0: 

597 logger.info( 

598 f"Sequential retry recovered {retried_ok}/{len(actually_failed)} issue(s)" 

599 ) 

600 

601 # Check whether failures remain after retry (ENH-308) 

602 remaining_failures = {iid for iid in actually_failed if iid in state.failed_issues} 

603 if result == 0 or not remaining_failures: 

604 logger.success( 

605 f"Wave {wave_num}/{total_waves} completed: {', '.join(wave_ids)}" 

606 ) 

607 else: 

608 failed_waves += 1 

609 logger.warning(f"Wave {wave_num}/{total_waves} had failures") 

610 _save_sprint_state(state, logger) 

611 if wave_num < total_waves: 

612 logger.info(f"Continuing to wave {wave_num + 1}/{total_waves}...") 

613 # Check for shutdown before next wave (ENH-183) 

614 if _sprint_shutdown_requested: 

615 logger.warning("Shutdown requested - exiting after wave completion") 

616 exit_code = 1 

617 return exit_code 

618 

619 wave_word = "wave" if len(waves) == 1 else "waves" 

620 skip_msg = ( 

621 f", {len(pre_completed_skipped)} already completed (skipped)" 

622 if pre_completed_skipped 

623 else "" 

624 ) 

625 blocked_msg = ( 

626 f", {len(state.skipped_blocked_issues)} skipped (blocked)" 

627 if state.skipped_blocked_issues 

628 else "" 

629 ) 

630 logger.info( 

631 f"\nSprint completed: {len(completed)} issues processed " 

632 f"({len(waves)} {wave_word}){skip_msg}{blocked_msg}" 

633 ) 

634 logger.timing(f"Total execution time: {format_duration(total_duration)}") 

635 if failed_waves > 0: 

636 logger.warning(f"{failed_waves} wave(s) had failures") 

637 exit_code = 1 

638 else: 

639 # Clean up state on successful completion 

640 _cleanup_sprint_state(logger) 

641 

642 except KeyboardInterrupt: 

643 # Belt-and-suspenders with signal handler (ENH-185) 

644 logger.warning("Sprint interrupted by user (KeyboardInterrupt)") 

645 exit_code = 130 

646 

647 except Exception as e: 

648 # Catch unexpected exceptions (ENH-185) 

649 logger.error(f"Sprint failed unexpectedly: {e}") 

650 exit_code = 1 

651 

652 finally: 

653 # Guaranteed state save on any non-success exit (ENH-185) 

654 if exit_code != 0: 

655 _save_sprint_state(state, logger) 

656 logger.info("State saved before exit") 

657 

658 _sprint_logger = None # Clear for test isolation 

659 return exit_code