docs/test: align scheduling cleanup
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@@ -152,11 +152,12 @@ The active sequence can assume these foundations:
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runs through the API
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The active sequence can also assume deployment scheduling: an opt-in
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same-server scheduler starts ordinary deployment runs without a connected
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client (one-shot and recurring cron, durable admission, coalesced
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missed-start recovery, bounded parallel runs, occurrence inspection, and
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API/Python-client administration). Scheduling is disabled by default and
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enabled per server. The current contract is
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same-server scheduler for local/static servers only starts ordinary deployment
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runs without a connected client (one-shot and recurring cron, durable
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admission, coalesced missed-start recovery, bounded parallel runs, occurrence
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inspection, and API/Python-client administration). Scheduling is disabled by
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default and enabled per server; MCP-backed servers reject scheduler
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enablement. The current contract is
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[`deployment scheduling`](superpowers/specs/2026-09-08-deployment-scheduling-design.md);
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operator usage is under
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[`deployment scheduling operations`](deployment_scheduling.md).
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@@ -56,8 +56,8 @@ Cron uses an explicit IANA time zone, default UTC. One-shot timestamps must
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include an offset. Persist occurrence instants as UTC timestamps; retain the
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cron time-zone name in the definition. Reject invalid zones and naive times.
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Proposed default lateness allowance: 60 seconds, configurable per schedule as
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a non-negative finite duration. During uninterrupted operation, a due instant
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Default lateness allowance: 60 seconds, configurable per schedule as a
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non-negative finite duration. During uninterrupted operation, a due instant
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within the allowance can be admitted. Older instants and enabled times missed
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while the server was unavailable follow the configured misfire policy.
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With `skip`, startup selects the next future instant regardless of lateness
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@@ -178,12 +178,20 @@ are invalid here. Do not extend GraphSourcePath with schedule-only roots.
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Existing expressions compose data; they do not implement date formatting,
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arithmetic, template evaluation, Python execution, or arbitrary transforms.
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Proposed persisted binding example, pending concrete model names:
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The persisted `Schedule.input_bindings` field is a list of
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`ScheduleInputBinding` objects. Each binding has a `target: LocalPath` and a
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discriminated `ScheduleExpression`, whose concrete models are
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`LiteralExpression`, `OccurrenceExpression`, `ScheduleArrayExpression`, and
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`ScheduleObjectExpression`. The API accepts and returns these bindings as
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JSON through `Schedule.model_dump(mode="json")`; for example:
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```json
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{
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"input_bindings": [
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{"target": "team", "value": "engineering"},
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{
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"target": "team",
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"expression": {"kind": "literal", "value": "engineering"}
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},
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{
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"target": "report_time",
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"expression": {"kind": "occurrence", "field": "scheduled_at"}
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@@ -192,9 +200,11 @@ Proposed persisted binding example, pending concrete model names:
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}
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```
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Occurrence references initially expose schedule_id, occurrence_id, and
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scheduled_at. Date-time values serialize as UTC RFC 3339 strings. The admitted
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run's resolved input is persisted once and never re-evaluated on restart.
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`OccurrenceExpression` exposes `schedule_id`, `occurrence_id`, and
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`scheduled_at` from the admitted occurrence. `scheduled_at` is serialized as
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a UTC RFC 3339 string; the other occurrence fields are strings as well. The
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admitted run's resolved input is persisted once and never re-evaluated on
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restart.
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Validate target conflicts, expression bounds, source fields, and the resulting
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workflow input schema. Recheck the current deployment contract at admission;
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an edit may have changed the expected input since schedule creation.
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@@ -211,7 +221,9 @@ values through their declared input bindings as before.
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## Durable admission and recovery
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Current seams needing change:
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### Historical pre-implementation seams
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Before T01–T14 were implemented, these were the seams that required change:
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- wf_api/runs.py executes before persisting a stopped run.
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- wf_artifacts/runs/models.py permits only stopped summaries, with a required
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@@ -281,8 +293,10 @@ schedules at `<root>/schedules`, one lock at `<root>/scheduler.lock`).
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## Lifecycle, administration, and resource bounds
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Expose create/get/list/update/pause/resume/delete and paginated occurrence
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inspection through the workflow API and Python client. Public client names
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are finalized in the implementation plan, not treated as existing methods.
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inspection through the workflow API and Python client. The implemented names
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are `create_schedule`, `get_schedule`, `list_schedules`, `update_schedule`,
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`pause_schedule`, `resume_schedule`, `delete_schedule`, and
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`list_schedule_occurrences`.
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Reject stale schedule edits using revisions within the owning process.
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Occurrence inspection distinguishes pending, coalesced/superseded,
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@@ -397,11 +411,14 @@ Use injected clocks and controlled executors, not real-time sleeps:
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- Public API/client round trips, pagination, inspection without a checkpoint,
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and existing manual run/resume behavior remain valid.
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## Review before implementation planning
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## Verification and operations guidance
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User policy decisions above are settled. Review the proposed 60-second
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allowance, expression seam, and admission/recovery representation together.
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The calendar-library probe is an explicit gate, not a claimed passing test.
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After approval, create a sequenced implementation plan with fault-injection
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tests before enabling scheduling in the server. WaitNode is a later contract
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that may reuse timed admission but must persist its own suspended execution.
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The implementation plan is archived as historical context; no further
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design-approval or implementation-planning step remains for this slice. When
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changing the calendar dependency or adapter, rerun the calendar-library probe
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and retain the calendar boundary coverage above. Keep fault-injection tests at
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each persistence boundary, including resume, when changing admission or
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recovery before enabling a changed scheduler build. Use the deployment
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scheduling operations guide for local/static server configuration and runtime
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operations. WaitNode is a later contract that may reuse timed admission but
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must persist its own suspended execution.
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@@ -20,7 +20,7 @@ frontends can share.
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| `wf_sources_mcp` | MCP-as-upstream-source implementation: source ids, source registry DTOs, auth/catalog stores, discovery, SDK client/facade, persistent runtime pool, and tool-wrapper helpers. |
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| `wf_mcp` | MCP frontend/compatibility package: old `wf-mcp` server entry points, broker glue around MCP-hosted services, proxy/admin tools, and compatibility shims while callers migrate. |
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| `wf_transport_rpc_http` | JSON-RPC-over-HTTP transport adapter and remote client over `WorkflowApiSurface`, not a reimplementation of workflow business logic. |
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| `wf_client` | Async Python consumer facade over a narrow capability/artifact/deployment/run port. It reconstructs immutable snapshots and keeps representations bounded and inert. |
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| `wf_client` | Async Python consumer facade over a narrow capability/artifact/deployment/run/schedule port. It reconstructs immutable snapshots and keeps representations bounded and inert. |
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| future `wf_http` / WebSocket / MCP server transports | Additional transports over `WorkflowApiSurface`, not new workflow application APIs. |
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| `wf_cli` | CLI frontend over `WorkflowApiSurface`; it may run locally against process-local stores or target a remote JSON-RPC backend. |
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@@ -94,8 +94,8 @@ def test_thesis_bundle_has_reproducible_agent_evaluation_assets() -> None:
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assert "figure-format.lua" in generate_script
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assert "thesisFigureFormat" in generate_script
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assert (
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generate_script.index("$include_markdown_filter `")
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< generate_script.index("$diagram_filter `")
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generate_script.index('"--lua-filter", $include_markdown_filter')
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< generate_script.index('"--lua-filter", $diagram_filter')
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< generate_script.index("--filter=pandoc-crossref")
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)
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assert "generate_agent_challenge_evaluation.py" in combined_build_script
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@@ -265,8 +265,10 @@ async def test_settlement_does_not_block_the_event_loop(
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await service.start()
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service.schedule_store.create_schedule(_sched_model("a", intended))
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await service.poll_once(intended + timedelta(seconds=1))
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await asyncio.sleep(0.05)
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assert settlement_started.is_set()
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# The worker releases itself after two seconds as failure-safe cleanup.
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# Keep this bounded wait shorter than that timeout so the assertion
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# observes the intentionally blocked settlement rather than its guard.
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assert await asyncio.to_thread(settlement_started.wait, 1.0)
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assert not settlement_finished.is_set()
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assert service.live_executions == 1
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release.set()
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@@ -100,7 +100,9 @@ def test_competing_processes_share_the_canonical_lock(tmp_path: Path) -> None:
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comp = tmp_path / "composition"
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comp.mkdir(parents=True)
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sched_store, run_store = _stores(comp)
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identity = Path(canonical_lock_root(sched_store.root, run_store.root) or "")
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resolved = canonical_lock_root(sched_store.root, run_store.root)
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assert resolved is not None
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identity = Path(resolved)
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holder = SchedulerOwnership(identity, owner="parent").acquire()
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try:
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script_path = tmp_path / "compete_canonical.py"
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@@ -51,6 +51,7 @@ def test_competing_process_cannot_acquire_while_held(tmp_path: Path) -> None:
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capture_output=True,
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text=True,
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timeout=30,
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cwd=Path(__file__).resolve().parents[2],
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)
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assert proc.returncode == 0, proc.stderr
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assert "second-owner-rejected" in proc.stdout
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@@ -73,6 +74,7 @@ def test_lock_released_on_process_death(tmp_path: Path) -> None:
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)
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proc = subprocess.Popen(
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[sys.executable, str(script_path)],
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cwd=Path(__file__).resolve().parents[2],
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stdout=subprocess.PIPE,
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text=True,
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)
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@@ -356,6 +356,12 @@ def _entries(root: Path, schedule_id: str, kind: str) -> list[dict[str, Any]]:
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return [row for row in rows if row["kind"] == kind]
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async def _kinds(root: Path, schedule_id: str) -> list[str]:
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page = FileScheduleStore(root).list_occurrences(schedule_id, limit=100)
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rows = cast(list[dict[str, Any]], page["occurrences"])
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return [row["kind"] for row in rows]
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def _run_ids(root: Path) -> list[str]:
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return [record.id for record in FileRunStore(root).list_runs()]
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@@ -610,7 +616,7 @@ asyncio.run(main())
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text=True,
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)
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try:
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output, _ = process.communicate(timeout=7)
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output, _ = process.communicate(timeout=30)
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except subprocess.TimeoutExpired:
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process.kill()
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output, _ = process.communicate(timeout=5)
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@@ -1761,12 +1767,6 @@ async def test_shutdown_timeout_spares_healthy_sibling(tmp_path: Path) -> None:
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await service.stop()
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async def _kinds(root: Path, schedule_id: str) -> list[str]:
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page = FileScheduleStore(root).list_occurrences(schedule_id, limit=100)
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rows = cast(list[dict[str, Any]], page["occurrences"])
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return [row["kind"] for row in rows]
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async def test_scheduled_resume_records_completion_live(tmp_path: Path) -> None:
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"""A resumed completion lands in occurrence history live (B3).
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