Coverage for little_loops / cli / sprint / run.py: 8%
389 statements
« prev ^ index » next coverage.py v7.12.0, created at 2026-06-29 00:55 -0500
1"""ll-sprint run subcommand with signal handling and state management."""
3from __future__ import annotations
5import os
6import signal
7import subprocess
8import sys
9import time
10from pathlib import Path
11from types import FrameType
12from typing import TYPE_CHECKING
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
24if TYPE_CHECKING:
25 import argparse
27 from little_loops.config import BRConfig
28 from little_loops.issue_parser import IssueInfo
30# Module-level shutdown flag for ll-sprint signal handling (ENH-183)
31_sprint_shutdown_requested: bool = False
32_sprint_logger: Logger | None = None
35class IssueWallClockTimeout(Exception):
36 """Raised when an issue exceeds its per-issue wall-clock time budget (BUG-2144)."""
38 def __init__(self, issue_id: str) -> None:
39 self.issue_id = issue_id
40 super().__init__(f"{issue_id}: wall-clock timeout")
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.
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 """
59 def _timeout_handler(signum: int, frame: FrameType | None) -> None:
60 raise IssueWallClockTimeout(issue.issue_id)
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)
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"
100def _sprint_signal_handler(signum: int, frame: FrameType | None) -> None:
101 """Handle shutdown signals gracefully for ll-sprint.
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)
123def _get_sprint_state_file() -> Path:
124 """Get path to sprint state file."""
125 return Path.cwd() / ".sprint-state.json"
128def _load_sprint_state(logger: Logger) -> SprintState | None:
129 """Load sprint state from file."""
130 import json
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
145def _save_sprint_state(state: SprintState, logger: Logger) -> None:
146 """Save sprint state to file."""
147 import json
148 from datetime import datetime
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}")
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")
164def _run_learning_gate_preflight(
165 args: argparse.Namespace,
166 issue_infos: list[IssueInfo],
167 config: BRConfig,
168 logger: Logger,
169) -> int:
170 """Run the learning-test pre-flight gate before sprint execution (ENH-2210).
172 Aggregates all learning_tests_required targets across sprint issues,
173 deduplicates them (preserving first-occurrence order), and runs
174 ready-to-implement-gate once. If any target is unproven the sprint aborts
175 with a message identifying the blocking targets and the issue IDs that
176 contributed each one.
178 Returns:
179 0 if the gate passes or is skipped; 1 if the gate blocks the sprint.
180 """
181 if not config.learning_tests.enabled:
182 return 0
184 if getattr(args, "skip_learning_gate", False):
185 logger.info("Learning gate pre-flight skipped (--skip-learning-gate)")
186 return 0
188 from little_loops.learning_tests.extractor import resolve_learning_targets
190 # Map target → contributing issue IDs (for attribution in error output)
191 target_to_issues: dict[str, list[str]] = {}
192 seen: set[str] = set()
193 all_targets: list[str] = []
195 for info in issue_infos:
196 targets = resolve_learning_targets(info)
198 for target in targets:
199 if target not in seen:
200 seen.add(target)
201 all_targets.append(target)
202 target_to_issues.setdefault(target, []).append(info.issue_id)
204 if not all_targets:
205 return 0
207 logger.info(
208 f"Learning gate pre-flight: checking {len(all_targets)} target(s): {', '.join(all_targets)}"
209 )
211 cmd = [
212 "ll-loop",
213 "run",
214 "ready-to-implement-gate",
215 "--context",
216 f"targets={','.join(all_targets)}",
217 ]
218 result = subprocess.run(cmd, capture_output=True, text=True)
220 if result.returncode != 0:
221 logger.error("Learning gate pre-flight FAILED — sprint aborted")
222 for target in all_targets:
223 contributing = ", ".join(target_to_issues.get(target, []))
224 logger.error(f" Blocking target '{target}': required by {contributing}")
225 return 1
227 logger.info("Learning gate pre-flight: all targets proven")
228 return 0
231def _cmd_sprint_run(
232 args: argparse.Namespace,
233 manager: SprintManager,
234 config: BRConfig,
235) -> int:
236 """Execute a sprint with dependency-aware scheduling."""
237 from datetime import datetime
239 global _sprint_logger
240 logger = Logger(verbose=not args.quiet, use_color=use_color_enabled())
241 _sprint_logger = logger
243 # Setup signal handlers for graceful shutdown (ENH-183)
244 global _sprint_shutdown_requested
245 _sprint_shutdown_requested = False # Reset in case of multiple runs
246 signal.signal(signal.SIGINT, _sprint_signal_handler)
247 signal.signal(signal.SIGTERM, _sprint_signal_handler)
249 handoff_threshold = getattr(args, "handoff_threshold", None)
250 if handoff_threshold is not None:
251 os.environ["LL_HANDOFF_THRESHOLD"] = str(handoff_threshold)
253 context_limit = getattr(args, "context_limit", None)
254 if context_limit is not None:
255 os.environ["LL_CONTEXT_LIMIT"] = str(context_limit)
257 sprint = manager.load_or_resolve(args.sprint)
258 if not sprint:
259 logger.error(f"Sprint not found: {args.sprint}")
260 return 1
262 if not sprint.issues:
263 logger.info(f"Sprint '{sprint.name}' has no active issues — nothing to process")
264 return 0
266 if getattr(args, "save", False):
267 saved_path = sprint.save(manager.sprints_dir)
268 logger.info(f"Sprint saved to {saved_path}")
270 # Apply skip filter if provided
271 issues_to_process = list(sprint.issues)
272 skip_ids = parse_issue_ids(args.skip)
273 if skip_ids:
274 original_count = len(issues_to_process)
275 issues_to_process = [i for i in issues_to_process if i not in skip_ids]
276 skipped = original_count - len(issues_to_process)
277 if skipped > 0:
278 logger.info(f"Skipping {skipped} issue(s): {', '.join(sorted(skip_ids))}")
280 # Apply only filter if provided
281 only_ids = parse_issue_ids(getattr(args, "only", None))
282 if only_ids:
283 invalid_only = {p for p in only_ids if not any(_id_matches(i, p) for i in sprint.issues)}
284 if invalid_only:
285 logger.error(
286 f"Issue(s) not found in sprint definition: {', '.join(sorted(invalid_only))}"
287 )
288 return 1
289 issues_to_process = [
290 i for i in issues_to_process if any(_id_matches(i, p) for p in only_ids)
291 ]
292 logger.info(
293 f"Processing only {len(issues_to_process)} issue(s): {', '.join(sorted(only_ids))}"
294 )
296 # Apply type filter if provided
297 type_prefixes = parse_issue_types(getattr(args, "type", None))
298 if type_prefixes:
299 original_count = len(issues_to_process)
300 issues_to_process = [i for i in issues_to_process if i.split("-", 1)[0] in type_prefixes]
301 filtered = original_count - len(issues_to_process)
302 if filtered > 0:
303 logger.info(f"Filtered {filtered} issue(s) by type: {', '.join(sorted(type_prefixes))}")
305 # Pre-validate: skip issues with status: done/cancelled (ENH-1424)
306 pre_completed_skipped: list[str] = []
308 # Validate issues exist
309 valid = manager.validate_issues(issues_to_process)
310 invalid = set(issues_to_process) - set(valid.keys())
312 if invalid:
313 logger.error(f"Issue IDs not found: {', '.join(sorted(invalid))}")
314 logger.info("Cannot execute sprint with missing issues")
315 return 1
317 # Write milestone: field back to issue files for all valid issues in this sprint
318 from little_loops.frontmatter import parse_frontmatter, update_frontmatter
320 for _issue_id, path in valid.items():
321 content = path.read_text(encoding="utf-8")
322 updated = update_frontmatter(content, {"milestone": sprint.name})
323 if updated != content:
324 path.write_text(updated, encoding="utf-8")
325 logger.info(f"Set milestone: {sprint.name!r} on {len(valid)} issue file(s)")
327 # Skip issues already completed via frontmatter status (ENH-1424)
328 still_active: list[str] = []
329 for issue_id in issues_to_process:
330 path = valid[issue_id]
331 fm = parse_frontmatter(path.read_text(encoding="utf-8"))
332 if fm.get("status", "open") in ("done", "cancelled"):
333 logger.info(f" {issue_id}: already completed (status: {fm.get('status')}), skipping")
334 pre_completed_skipped.append(issue_id)
335 else:
336 still_active.append(issue_id)
337 if pre_completed_skipped:
338 logger.info(
339 f"Pre-validation: {len(pre_completed_skipped)} issue(s) already completed, "
340 f"{len(still_active)} active"
341 )
342 issues_to_process = still_active
344 if pre_completed_skipped and not issues_to_process:
345 logger.info("All sprint issues already completed - nothing to process")
346 return 0
348 # Load full IssueInfo objects for dependency analysis
349 issue_infos = manager.load_issue_infos(issues_to_process)
350 if not issue_infos:
351 logger.error("No issue files found")
352 return 1
354 # Apply label filter if provided (must run after IssueInfo load since labels come from frontmatter)
355 label_filter = parse_labels(getattr(args, "label", None))
356 if label_filter:
357 original_count = len(issue_infos)
358 issue_infos = [i for i in issue_infos if any(lb.lower() in label_filter for lb in i.labels)]
359 filtered = original_count - len(issue_infos)
360 if filtered > 0:
361 logger.info(f"Filtered {filtered} issue(s) by label: {', '.join(sorted(label_filter))}")
362 issues_to_process = [i.issue_id for i in issue_infos]
364 # Learning-test pre-flight gate (ENH-2210)
365 preflight_result = _run_learning_gate_preflight(args, issue_infos, config, logger)
366 if preflight_result != 0:
367 return preflight_result
369 # Gather all issue IDs on disk to avoid false "nonexistent" warnings
370 from little_loops.dependency_mapper import gather_all_issue_ids
372 issues_dir = config.project_root / config.issues.base_dir
373 all_known_ids = gather_all_issue_ids(issues_dir, config=config)
375 # Dependency analysis (ENH-301)
376 if not getattr(args, "skip_analysis", False):
377 from little_loops.dependency_mapper import analyze_dependencies
379 issue_contents = _build_issue_contents(issue_infos)
380 dep_config = config.dependency_mapping
381 dep_report = analyze_dependencies(
382 issue_infos, issue_contents, all_known_ids=all_known_ids, config=dep_config
383 )
384 _render_dependency_analysis(dep_report, logger, config=dep_config)
386 # Build dependency graph
387 dep_graph = DependencyGraph.from_issues(issue_infos, all_known_ids=all_known_ids)
389 # Detect cycles
390 if dep_graph.has_cycles():
391 cycles = dep_graph.detect_cycles()
392 for cycle in cycles:
393 logger.error(f"Dependency cycle detected: {' -> '.join(cycle)}")
394 return 1
396 # Get execution waves
397 try:
398 waves = dep_graph.get_execution_waves()
399 except ValueError as e:
400 logger.error(str(e))
401 return 1
403 # Refine waves for file overlap (ENH-306)
404 waves, contention_notes = refine_waves_for_contention(waves, config=config.dependency_mapping)
406 # Display execution plan
407 logger.info(f"Running sprint: {sprint.name}")
408 logger.info("Dependency analysis:")
409 for i, wave in enumerate(waves, 1):
410 issue_ids = ", ".join(issue.issue_id for issue in wave)
411 note = contention_notes[i - 1] if contention_notes else None
412 if note:
413 logger.info(
414 f" Wave {i}: {issue_ids}"
415 f" [sub-wave {note.sub_wave_index + 1}/{note.total_sub_waves}]"
416 )
417 else:
418 logger.info(f" Wave {i}: {issue_ids}")
420 # Warn when issues were serialized conservatively due to missing file hints (BUG-2142)
421 if any(n is not None and getattr(n, "has_unknown_hints", False) for n in contention_notes):
422 logger.warning(
423 "Some issues lack '### Files to Modify' sections — serialized conservatively."
424 " Add file hints for more accurate wave scheduling."
425 )
427 if args.dry_run:
428 logger.info("\nDry run mode - no changes will be made")
429 return 0
431 # Initialize or load state
432 state: SprintState
433 start_wave = 1
435 if args.resume:
436 loaded_state = _load_sprint_state(logger)
437 if loaded_state and loaded_state.sprint_name == sprint.name:
438 state = loaded_state
439 # Find first incomplete wave by checking completed issues
440 completed_set = set(state.completed_issues)
441 for i, wave in enumerate(waves, 1):
442 wave_issue_ids = {issue.issue_id for issue in wave}
443 if not wave_issue_ids.issubset(completed_set):
444 start_wave = i
445 break
446 else:
447 # All waves completed
448 logger.info("Sprint already completed - nothing to resume")
449 _cleanup_sprint_state(logger)
450 return 0
451 logger.info(f"Resuming from wave {start_wave}/{len(waves)}")
452 logger.info(f" Previously completed: {len(state.completed_issues)} issues")
453 else:
454 if loaded_state:
455 logger.warning(
456 f"State file is for sprint '{loaded_state.sprint_name}', "
457 f"not '{sprint.name}' - starting fresh"
458 )
459 else:
460 logger.warning("No valid state found - starting fresh")
461 state = SprintState(
462 sprint_name=sprint.name,
463 started_at=datetime.now().isoformat(),
464 )
465 else:
466 # Fresh start - delete any old state
467 _cleanup_sprint_state(logger)
468 state = SprintState(
469 sprint_name=sprint.name,
470 started_at=datetime.now().isoformat(),
471 )
473 # Track exit status for error handling (ENH-185)
474 exit_code = 0
476 try:
477 # Determine max workers
478 max_workers = args.max_workers or (sprint.options.max_workers if sprint.options else 2)
480 # Execute wave by wave
481 completed: set[str] = set(state.completed_issues)
482 failed_waves = 0
483 total_duration = 0.0
484 total_waves = len(waves)
485 _fb_warning_emitted = False # deduplicate: fire once per sprint run (ENH-2176)
487 for wave_num, wave in enumerate(waves, 1):
488 # Check for shutdown request (ENH-183)
489 if _sprint_shutdown_requested:
490 logger.warning("Shutdown requested - saving state and exiting")
491 _save_sprint_state(state, logger)
492 exit_code = 1
493 return exit_code
495 # Skip already-completed waves when resuming
496 if wave_num < start_wave:
497 continue
499 wave_ids = [issue.issue_id for issue in wave]
500 state.current_wave = wave_num
501 logger.info(f"\nProcessing wave {wave_num}/{total_waves}: {', '.join(wave_ids)}")
503 wave_note = (
504 contention_notes[wave_num - 1]
505 if contention_notes and wave_num - 1 < len(contention_notes)
506 else None
507 )
508 is_contention_subwave = wave_note is not None
510 if len(wave) == 1 or is_contention_subwave:
511 # Single issue OR contention sub-wave — process in-place sequentially
512 # (contention sub-waves are displayed as "serialized steps" so must run that way)
513 max_wall_clock = config.sprints.max_issue_wall_clock_time
515 wave_failed = False
516 _current_branch = _detect_current_branch()
517 _feature_branches_arg = getattr(args, "feature_branches", None)
518 effective_feature_branches = (
519 _feature_branches_arg
520 if _feature_branches_arg is not None
521 else config.parallel.use_feature_branches
522 )
523 if effective_feature_branches and not _fb_warning_emitted:
524 logger.warning(
525 "feature-branch mode does not apply to single-issue / contention"
526 f" sub-waves; these issues run in-place on '{_current_branch}'"
527 )
528 _fb_warning_emitted = True
529 for issue in wave:
530 # TODO(ENH-1686): sprint sequential path not yet live-written
531 issue_result = _run_issue_with_wall_clock_timeout(
532 issue=issue,
533 config=config,
534 logger=logger,
535 dry_run=args.dry_run,
536 max_seconds=max_wall_clock,
537 sprint_context=SprintWorkerContext(
538 issue_id=issue.issue_id,
539 branch=_current_branch,
540 ),
541 )
542 total_duration += issue_result.duration
543 if issue_result.success:
544 completed.add(issue.issue_id)
545 state.completed_issues.append(issue.issue_id)
546 state.timing[issue.issue_id] = {"total": issue_result.duration}
547 logger.success(f" {issue.issue_id}: completed")
548 elif issue_result.was_blocked:
549 completed.add(issue.issue_id)
550 state.skipped_blocked_issues[issue.issue_id] = issue_result.failure_reason
551 logger.warning(f" {issue.issue_id}: skipped (blocked by open dependency)")
552 else:
553 wave_failed = True
554 completed.add(issue.issue_id)
555 state.failed_issues[issue.issue_id] = (
556 issue_result.failure_reason or "Issue processing failed"
557 )
558 logger.warning(f" {issue.issue_id}: failed")
559 if wave_failed:
560 failed_waves += 1
561 logger.warning(f"Wave {wave_num}/{total_waves} had failures")
562 else:
563 logger.success(
564 f"Wave {wave_num}/{total_waves} completed: {', '.join(wave_ids)}"
565 )
566 _save_sprint_state(state, logger)
567 if wave_num < total_waves:
568 logger.info(f"Continuing to wave {wave_num + 1}/{total_waves}...")
569 # Check for shutdown before next wave (ENH-183)
570 if _sprint_shutdown_requested:
571 logger.warning("Shutdown requested - exiting after wave completion")
572 exit_code = 1
573 return exit_code
574 else:
575 # Multi-issue — use ParallelOrchestrator with worktrees
576 only_ids = set(wave_ids)
577 # Detect current branch for rebase/merge operations (BUG-439)
578 _br = subprocess.run(
579 ["git", "rev-parse", "--abbrev-ref", "HEAD"],
580 capture_output=True,
581 text=True,
582 cwd=Path.cwd(),
583 )
584 _base_branch = _br.stdout.strip() if _br.returncode == 0 else "main"
585 # Runtime overlap detection disabled for sprints (ENH-512):
586 # refine_waves_for_contention() already splits overlapping
587 # issues into separate sub-waves before dispatch.
588 parallel_config = config.create_parallel_config(
589 max_workers=min(max_workers, len(wave)),
590 only_ids=only_ids,
591 dry_run=args.dry_run,
592 overlap_detection=False,
593 serialize_overlapping=True,
594 base_branch=_base_branch,
595 clean_start=True, # Sprint manages its own state; don't load stale orchestrator state
596 use_feature_branches=getattr(args, "feature_branches", None),
597 )
599 from little_loops.events import EventBus
600 from little_loops.extension import wire_extensions
601 from little_loops.transport import wire_transports
603 event_bus = EventBus()
604 wire_extensions(event_bus, config.extensions)
605 wire_transports(event_bus, config.events)
606 orchestrator = ParallelOrchestrator(
607 parallel_config,
608 config,
609 Path.cwd(),
610 wave_label=f"Wave {wave_num}/{total_waves}",
611 event_bus=event_bus,
612 )
613 result = orchestrator.run()
614 total_duration += orchestrator.execution_duration
616 # Track completed/failed from this wave using per-issue results
617 actually_completed = set(orchestrator.queue.completed_ids)
618 actually_failed = set(orchestrator.queue.failed_ids)
620 for issue_id in wave_ids:
621 if issue_id in actually_completed:
622 completed.add(issue_id)
623 state.completed_issues.append(issue_id)
624 state.timing[issue_id] = {
625 "total": orchestrator.execution_duration / len(wave)
626 }
627 elif issue_id in actually_failed:
628 completed.add(issue_id)
629 state.failed_issues[issue_id] = "Issue failed during wave execution"
630 # else: issue was neither completed nor failed (interrupted/stranded)
631 # — leave untracked so it can be retried on resume
633 # Sequential retry for failed issues (ENH-308)
634 if actually_failed:
635 logger.info(f"Retrying {len(actually_failed)} failed issue(s) sequentially...")
636 retried_ok = 0
637 for issue in wave:
638 if issue.issue_id not in actually_failed:
639 continue
640 logger.info(f" Retrying {issue.issue_id} in-place...")
641 # TODO(ENH-1686): sprint sequential path not yet live-written
642 retry_result = process_issue_inplace(
643 info=issue,
644 config=config,
645 logger=logger,
646 dry_run=args.dry_run,
647 sprint_context=SprintWorkerContext(
648 issue_id=issue.issue_id,
649 branch=_detect_current_branch(),
650 ),
651 )
652 total_duration += retry_result.duration
653 if retry_result.success:
654 retried_ok += 1
655 state.failed_issues.pop(issue.issue_id, None)
656 state.completed_issues.append(issue.issue_id)
657 state.timing[issue.issue_id] = {"total": retry_result.duration}
658 logger.success(f" Retry succeeded: {issue.issue_id}")
659 elif retry_result.was_blocked:
660 state.failed_issues.pop(issue.issue_id, None)
661 state.skipped_blocked_issues[issue.issue_id] = (
662 retry_result.failure_reason
663 )
664 logger.warning(
665 f" Retry skipped: {issue.issue_id} (blocked by open dependency)"
666 )
667 else:
668 logger.warning(f" Retry failed: {issue.issue_id}")
669 if retried_ok > 0:
670 logger.info(
671 f"Sequential retry recovered {retried_ok}/{len(actually_failed)} issue(s)"
672 )
674 # Check whether failures remain after retry (ENH-308)
675 remaining_failures = {iid for iid in actually_failed if iid in state.failed_issues}
676 if result == 0 or not remaining_failures:
677 logger.success(
678 f"Wave {wave_num}/{total_waves} completed: {', '.join(wave_ids)}"
679 )
680 else:
681 failed_waves += 1
682 logger.warning(f"Wave {wave_num}/{total_waves} had failures")
683 _save_sprint_state(state, logger)
684 if wave_num < total_waves:
685 logger.info(f"Continuing to wave {wave_num + 1}/{total_waves}...")
686 # Check for shutdown before next wave (ENH-183)
687 if _sprint_shutdown_requested:
688 logger.warning("Shutdown requested - exiting after wave completion")
689 exit_code = 1
690 return exit_code
692 wave_word = "wave" if len(waves) == 1 else "waves"
693 skip_msg = (
694 f", {len(pre_completed_skipped)} already completed (skipped)"
695 if pre_completed_skipped
696 else ""
697 )
698 blocked_msg = (
699 f", {len(state.skipped_blocked_issues)} skipped (blocked)"
700 if state.skipped_blocked_issues
701 else ""
702 )
703 logger.info(
704 f"\nSprint completed: {len(completed)} issues processed "
705 f"({len(waves)} {wave_word}){skip_msg}{blocked_msg}"
706 )
707 logger.timing(f"Total execution time: {format_duration(total_duration)}")
708 if failed_waves > 0:
709 logger.warning(f"{failed_waves} wave(s) had failures")
710 exit_code = 1
711 else:
712 # Clean up state on successful completion
713 _cleanup_sprint_state(logger)
715 except KeyboardInterrupt:
716 # Belt-and-suspenders with signal handler (ENH-185)
717 logger.warning("Sprint interrupted by user (KeyboardInterrupt)")
718 exit_code = 130
720 except Exception as e:
721 # Catch unexpected exceptions (ENH-185)
722 logger.error(f"Sprint failed unexpectedly: {e}")
723 exit_code = 1
725 finally:
726 # Guaranteed state save on any non-success exit (ENH-185)
727 if exit_code != 0:
728 _save_sprint_state(state, logger)
729 logger.info("State saved before exit")
731 _sprint_logger = None # Clear for test isolation
732 return exit_code