sched: extract typed preparer/dispatcher seams; test impl out of production (F6)

This commit is contained in:
lda
2026-09-08 11:19:48 +07:00 Verified
parent 7f6c832b0b
commit 15bd472bdc
8 changed files with 564 additions and 162 deletions
+41
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@@ -0,0 +1,41 @@
"""Typed dispatch collaborator seam (R4/F6).
The scheduler owns durable markers, stopped-result persistence, and
history; the dispatcher owns execution only. It receives the admitted
invocation and returns a genuine :class:`wf_core.RunState` (or
:class:`StillRunning` when the outcome is not yet known). Stopped
results are persisted by the scheduler through the shared
``wf_api.run_lifecycle`` boundary, so scheduler dispatches and manual
runs share one torn-write protocol. Controlled scripted dispatchers live
in ``tests/scheduling/controlled.py``; production wiring arrives in T12.
"""
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime
from typing import Protocol, Union
from wf_artifacts.runs.models import RunAdmission
from wf_core import RunState
@dataclass(frozen=True)
class Stopped:
"""Execution finished with a genuine stopped run state."""
result: RunState
@dataclass(frozen=True)
class StillRunning:
"""Dispatched with an unknown outcome; the run stays admitted."""
DispatchResult = Union[Stopped, StillRunning]
class RunDispatcher(Protocol):
"""Execution collaborator behind the durable dispatch transition."""
def dispatch(self, *, admission: RunAdmission, now: datetime) -> DispatchResult: ...
+68 -120
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@@ -2,20 +2,32 @@
Mirrors the reference state model (probes/deployment_scheduling_verify/
test_schedule_state_model.py) against real file stores. Calendar iteration
uses ``OccurrenceSource`` (``next_after``/``prev_before`` only, never
enumeration); latest-missed catch-up is one bounded ``prev_before`` query
(F1). Overlap decisions precede capacity checks; terminal skips never
reappear; ``latest`` retains at most one candidate.
uses the canonical :class:`wf_scheduling.calendar.OccurrenceSource`
(``next_after``/``prev_before`` only, never enumeration); latest-missed
catch-up is one bounded ``prev_before`` query (F1). Overlap decisions
precede capacity checks; terminal skips never reappear; ``latest`` retains
at most one candidate.
Admission preparation and execution arrive as typed collaborators
(:mod:`wf_scheduling.prepare`, :mod:`wf_scheduling.dispatch`): this module
contains no fixture input, fixture environments, or canned results.
"""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any, Protocol
from typing import Any
from wf_scheduling.calendar import CronSource, OneShotSource
from wf_scheduling.calendar import (
CronSource,
InvalidScheduleDefinitionError,
OccurrenceSource,
OneShotSource,
)
from wf_scheduling.dispatch import RunDispatcher, StillRunning
from wf_scheduling.models import OccurrenceRecord, PendingCandidate
from wf_scheduling.occurrences import occurrence_id
from wf_scheduling.prepare import InvocationPreparer, PreparationRejected
UTC = timezone.utc
SCAN_CAP = 100
@@ -26,17 +38,6 @@ class BlockedSchedule(ValueError):
"""A schedule is blocked by a corrupt record and fails closed."""
class InvalidScheduleDefinitionError(ValueError):
"""A schedule definition or its trigger source is invalid."""
class OccurrenceSource(Protocol):
"""Due-instant source over aware datetimes, UTC at the boundary."""
def next_after(self, instant: datetime) -> datetime | None: ...
def prev_before(self, instant: datetime) -> datetime | None: ...
def source_for_trigger(trigger: Any) -> OccurrenceSource:
"""Build a calendar source from a schedule trigger model."""
kind = trigger.kind if hasattr(trigger, "kind") else trigger.get("kind")
@@ -61,22 +62,17 @@ def source_for_trigger(trigger: Any) -> OccurrenceSource:
def _is_oneshot(source: OccurrenceSource) -> bool:
# Calendar and test-double one-shots share the class name and an ``at``
# instant; periodic sources carry a ``period`` instead. isinstance covers
# the calendar type; the name check covers duck-typed test doubles.
if isinstance(source, OneShotSource):
return True
return type(source).__name__ == "OneShotSource" and hasattr(source, "at")
return isinstance(source, OneShotSource)
class Scheduler:
"""File-store scheduler core with injected clock and controlled dispatch.
"""File-store scheduler core with injected clock and collaborators.
``outcomes`` maps run ids (or ``"*"``) to ``complete`` | ``hang`` |
``interrupt`` for deterministic tests. Production dispatch (real runtime)
is wired in T12; here ``hang`` keeps an admitted run occupying its
schedule slot, ``interrupt`` marks it interrupted (schedule slot only),
and ``complete`` marks it completed (releases overlap).
Invocation preparation (:class:`wf_scheduling.prepare.InvocationPreparer`)
and execution (:class:`wf_scheduling.dispatch.RunDispatcher`) are typed
collaborators: production code here never fabricates input, environments,
or outcomes. Stopped results are persisted through the shared
``wf_api.run_lifecycle`` boundary.
"""
def __init__(
@@ -86,15 +82,15 @@ class Scheduler:
run_store: Any,
sources: dict[str, OccurrenceSource],
capacity: int,
outcomes: dict[str, str] | None = None,
deployments: dict[str, dict] | None = None,
preparer: InvocationPreparer,
dispatcher: RunDispatcher,
) -> None:
self.schedule_store = schedule_store
self.run_store = run_store
self.sources = sources
self.capacity = capacity
self.outcomes = outcomes or {}
self.deployments = deployments or {"dep-1": {"rev": 1, "required": []}}
self.preparer = preparer
self.dispatcher = dispatcher
self._poll_cursor = 0
# -- helpers ------------------------------------------------------
@@ -191,13 +187,13 @@ class Scheduler:
sched.blocked_reason = reason
self.schedule_store.save_schedule(sched)
raise BlockedSchedule(reason) from None
dep = self.deployments.get(sched.deployment_id)
if dep is None:
prepared = self.preparer.prepare(sched=sched, intended=intended, now=now)
if isinstance(prepared, PreparationRejected):
self._record(
kind="preflight-rejected",
sched_id=sched.id,
intended=intended,
reason="deployment-deleted",
reason=prepared.reason,
revision=sched.revision,
now=now,
)
@@ -206,26 +202,6 @@ class Scheduler:
self.schedule_store.save_candidate(None, schedule_id=sched.id)
self.schedule_store.save_consumed(sched.id, intended)
return None
frozen = {
"team": "eng",
"report_time": intended.isoformat(),
"sched": sched.id,
"dep_rev": dep["rev"],
}
missing = [k for k in dep.get("required", []) if k not in frozen]
if missing:
self._record(
kind="preflight-rejected",
sched_id=sched.id,
intended=intended,
reason=f"missing-input:{missing}",
revision=sched.revision,
)
cand = self.schedule_store.get_candidate(sched.id)
if cand is not None and cand.intended_at == intended:
self.schedule_store.save_candidate(None, schedule_id=sched.id)
self.schedule_store.save_consumed(sched.id, intended)
return None
active = self._active(sched.id)
if sched.overlap == "skip" and active:
self._record(
@@ -277,20 +253,19 @@ class Scheduler:
return None
return "held-undecided"
run_id = self.run_store.allocate_run_id()
from wf_artifacts.runs.models import RunAdmission
from wf_api.run_lifecycle import persist_admission
admission = RunAdmission(
id=run_id,
environment=_test_environment(sched),
resolved_input=dict(frozen),
max_steps=getattr(sched, "max_steps", None),
admission = persist_admission(
store=self.run_store,
run_id=run_id,
environment=prepared.environment,
resolved_input=prepared.resolved_input,
max_steps=prepared.max_steps,
scheduled_at=intended,
schedule_id=sched.id,
schedule_revision=sched.revision,
deployment_revision=dep["rev"],
created_at=now,
deployment_revision=prepared.deployment_revision,
)
self.run_store.save_admission(admission)
self._record(
kind="admitted",
sched_id=sched.id,
@@ -313,56 +288,52 @@ class Scheduler:
# Dispatch mark precedes the view so a crash after admission but
# before/during first dispatch stays pending (not abandoned). Cleared
# after dispatch returns regardless of outcome (hang still dispatched).
try:
self.run_store.mark_pending_dispatch(run_id)
except AttributeError:
pass
materialize_admitted_view(store=self.run_store, admission=admission)
try:
self._dispatch(run_id, now)
finally:
try:
self.run_store.clear_pending_dispatch(run_id)
except AttributeError:
pass
return run_id
def _dispatch(self, run_id: str, now: datetime) -> None:
"""Persist one stopped result for an admitted run via the dispatcher.
The dispatcher returns a genuine stopped :class:`wf_core.RunState`
(or :class:`StillRunning` when the outcome is unknown); persistence
goes through the shared ``wf_api.run_lifecycle`` boundary so
scheduler dispatches share the manual-run torn-write protocol.
"""
from wf_api.run_lifecycle import persist_stopped_run
from wf_artifacts.runs.models import StoredRunStatus
outcome = self.outcomes.get(run_id, self.outcomes.get("*", "complete"))
if outcome not in ("complete", "hang", "interrupt"):
raise ValueError(f"unknown controlled outcome {outcome!r} for {run_id!r}")
try:
record = self.run_store.get_run(run_id)
self.run_store.get_run(run_id)
except KeyError as exc:
raise BlockedSchedule(f"dispatch missing run view: {run_id!r}") from exc
sched_id = self._run_sched(record)
if sched_id is None:
raise BlockedSchedule(f"dispatch missing admission: {run_id!r}")
if outcome == "hang":
try:
admission = self.run_store.get_admission(run_id)
except KeyError as exc:
raise BlockedSchedule(f"dispatch missing admission: {run_id!r}") from exc
if admission.schedule_id is None:
raise BlockedSchedule(f"dispatch missing schedule owner: {run_id!r}")
result = self.dispatcher.dispatch(admission=admission, now=now)
if isinstance(result, StillRunning):
return
if outcome == "interrupt":
updated = record.model_copy(
update={"status": StoredRunStatus.INTERRUPTED, "updated_at": now}
)
self.run_store.save_run(updated)
self._record(
kind="interrupted",
sched_id=sched_id,
intended=_admission_intended(self.run_store, run_id),
stopped = persist_stopped_run(
store=self.run_store,
environment=admission.environment,
run=result.result,
run_id=run_id,
now=now,
started_at=now,
)
return
updated = record.model_copy(
update={"status": StoredRunStatus.COMPLETED, "updated_at": now}
)
self.run_store.save_run(updated)
kind = {
StoredRunStatus.COMPLETED: "completed",
StoredRunStatus.INTERRUPTED: "interrupted",
StoredRunStatus.FAILED: "failed",
}[stopped.status]
self._record(
kind="completed",
sched_id=sched_id,
kind=kind, # type: ignore[arg-type]
sched_id=admission.schedule_id,
intended=_admission_intended(self.run_store, run_id),
run_id=run_id,
now=now,
@@ -672,29 +643,6 @@ class Scheduler:
self.schedule_store.save_consumed(sid, max(consumed, now))
def _test_environment(sched: Any) -> Any:
from wf_artifacts import PinnedRunEnvironment, WorkflowArtifact, WorkflowDeployment
deployment = WorkflowDeployment(
id=getattr(sched, "deployment_id", "dep-1"),
artifact_id="wf-1",
artifact_version=1,
bindings=[],
)
artifact = WorkflowArtifact(
id="wf-1",
version=1,
title="Wf-1",
input_schema={"type": "object", "properties": {}},
output_schema={"type": "object", "properties": {}},
outcomes=("ok",),
plan={"name": "wf-1", "nodes": [], "edges": []},
)
return PinnedRunEnvironment(
deployment=deployment, root_artifact=artifact, child_artifacts=[]
)
def _admission_intended(run_store: Any, run_id: str) -> datetime | None:
try:
return run_store.get_admission(run_id).scheduled_at
+106
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@@ -0,0 +1,106 @@
"""Typed invocation preparation for schedule admission (R4/F6).
Production schedule-side admission decisions live here: resolving the
schedule's real input bindings against the occurrence environment and
rechecking the deployment contract. Only artifact-tree construction is
injected (``build_environment``) until the administration surface (T13)
supplies store-backed environment pinning; controlled fixture
environments and deployment directories live in
``tests/scheduling/controlled.py``, never here.
"""
from __future__ import annotations
from collections.abc import Callable, Sequence
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Protocol
from wf_artifacts.runs.models import PinnedRunEnvironment
from wf_core.runtime.input_sources import resolve_schedule_input_bindings
from wf_scheduling.occurrences import occurrence_id
class DeploymentDirectory(Protocol):
"""Deployment contract source for admission rechecks.
Implementations raise ``KeyError`` for unknown deployment ids, which
preparation reports as a ``deployment-deleted`` preflight rejection.
"""
def deployment_revision(self, deployment_id: str) -> int: ...
def required_inputs(self, deployment_id: str) -> Sequence[str]: ...
@dataclass(frozen=True)
class PreparedInvocation:
"""Frozen invocation captured at admission for exactly one occurrence."""
environment: PinnedRunEnvironment
resolved_input: dict[str, Any]
max_steps: int | None
deployment_revision: int
@dataclass(frozen=True)
class PreparationRejected:
"""Preflight rejection: no run is invented for this occurrence."""
reason: str
class InvocationPreparer(Protocol):
"""Schedule-side admission preparation (production or controlled)."""
def prepare(
self, *, sched: Any, intended: datetime, now: datetime
) -> PreparedInvocation | PreparationRejected: ...
class SchedulePreparer:
"""Production preparation over the schedule's real input bindings.
Occurrence references resolve through the shared schedule-expression
contract (never graph paths); target conflicts, over-budget trees, and
invalid resolved input fail closed as preflight rejections before any
run identity is allocated.
"""
def __init__(
self,
deployments: DeploymentDirectory,
build_environment: Callable[[Any], PinnedRunEnvironment],
) -> None:
self._deployments = deployments
self._build_environment = build_environment
def prepare(
self, *, sched: Any, intended: datetime, now: datetime
) -> PreparedInvocation | PreparationRejected:
try:
revision = self._deployments.deployment_revision(sched.deployment_id)
required = list(self._deployments.required_inputs(sched.deployment_id))
except KeyError:
return PreparationRejected(reason="deployment-deleted")
occurrence = {
"schedule_id": sched.id,
"occurrence_id": occurrence_id(sched.id, intended),
"scheduled_at": intended.isoformat(),
}
try:
resolved = resolve_schedule_input_bindings(
sched.input_bindings,
occurrence=occurrence,
label=f"schedule {sched.id}",
)
except Exception as exc:
return PreparationRejected(reason=f"invalid-input:{exc}")
missing = [key for key in required if key not in resolved]
if missing:
return PreparationRejected(reason=f"missing-input:{missing}")
return PreparedInvocation(
environment=self._build_environment(sched),
resolved_input=dict(resolved),
max_steps=getattr(sched, "max_steps", None),
deployment_revision=revision,
)
-7
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@@ -171,16 +171,9 @@ def _mark_pending(run_store: Any, run_id: str) -> None:
def _is_pending(run_store: Any, run_id: str) -> bool:
try:
return bool(run_store.is_pending_dispatch(run_id))
except AttributeError:
# Legacy stores without the pending protocol: treat as not pending.
return False
def clear_pending(run_store: Any, run_id: str) -> None:
"""Clear the pending-dispatch marker after the poll sweep dispatches."""
try:
run_store.clear_pending_dispatch(run_id)
except AttributeError:
return
+90
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@@ -0,0 +1,90 @@
"""Controlled scheduler collaborators for tests (fixture side of F6 seams).
``DictDeployments``, ``fixture_environment``, and ``ScriptedDispatcher``
are the test doubles behind the production
:mod:`wf_scheduling.prepare` / :mod:`wf_scheduling.dispatch` protocols.
They carry the fixture behavior the old production ``Scheduler`` used to
hardcode (fixture input, fixture environments, scripted outcomes); the
production package no longer contains any of it.
"""
from __future__ import annotations
from collections.abc import Callable, Sequence
from datetime import datetime
from typing import Any, Union
from tests.artifacts.test_run_store import artifact as _artifact
from tests.artifacts.test_run_store import deployment as _deployment
from wf_artifacts.runs.models import PinnedRunEnvironment, RunAdmission
from wf_core import RunState, RunStatus
from wf_scheduling.dispatch import DispatchResult, StillRunning, Stopped
OutcomeSpec = Union[str, Callable[[RunAdmission, datetime], DispatchResult]]
class DictDeployments:
"""Deployment directory over a plain ``{id: {"rev": n, "required": [...]}}`` map."""
def __init__(self, deployments: dict[str, dict[str, Any]]) -> None:
self._deployments = deployments
def deployment_revision(self, deployment_id: str) -> int:
return int(self._deployments[deployment_id]["rev"])
def required_inputs(self, deployment_id: str) -> Sequence[str]:
return list(self._deployments[deployment_id].get("required", []))
def fixture_environment(sched: Any) -> PinnedRunEnvironment:
"""Build the historic fixture environment for schedule tests."""
deployment = _deployment().model_copy(
update={"id": getattr(sched, "deployment_id", "dep-1")}
)
return PinnedRunEnvironment(
deployment=deployment, root_artifact=_artifact(), child_artifacts=[]
)
def stopped_state(admission: RunAdmission, outcome: str) -> RunState:
"""Build a genuine stopped RunState echoing the admitted input."""
status = {
"complete": RunStatus.COMPLETED,
"interrupt": RunStatus.INTERRUPTED,
"fail": RunStatus.FAILED,
}[outcome]
return RunState(
workflow_name="sched",
status=status,
workflow_input=dict(admission.resolved_input),
state={},
)
class ScriptedDispatcher:
"""Scripted execution double: ``{run_id | "*": outcome | callable}``.
Outcomes are ``complete`` | ``interrupt`` | ``fail`` | ``hang``.
Callables receive ``(admission, now)`` and may raise or terminate the
process (crash tests). ``finish`` builds a stopped state for a hanging
run so tests can settle it through the scheduler's async-completion
seam without re-dispatching.
"""
def __init__(self, script: dict[str, OutcomeSpec] | None = None) -> None:
self.script: dict[str, OutcomeSpec] = dict(script or {})
def dispatch(self, *, admission: RunAdmission, now: datetime) -> DispatchResult:
spec = self.script.get(admission.id, self.script.get("*", "complete"))
if callable(spec):
return spec(admission, now)
assert isinstance(spec, str), f"unknown scripted outcome {spec!r}"
if spec == "hang":
return StillRunning()
if spec in ("complete", "interrupt", "fail"):
return Stopped(result=stopped_state(admission, spec))
raise ValueError(f"unknown scripted outcome {spec!r} for {admission.id!r}")
def finish(self, admission: RunAdmission, outcome: str) -> RunState:
"""Build the stopped state that settles a hanging run."""
return stopped_state(admission, outcome)
+26 -28
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@@ -4,12 +4,19 @@ from __future__ import annotations
from datetime import UTC, datetime, timedelta
from pathlib import Path
from typing import Any
from typing import Any, cast
from tests.scheduling.controlled import (
DictDeployments,
ScriptedDispatcher,
fixture_environment,
)
from wf_artifacts.runs.models import StoredRunStatus
from wf_artifacts.runs.store import FileRunStore
from wf_scheduling.calendar import OneShotSource
from wf_scheduling.models import Schedule
from wf_scheduling.poll import SCAN_CAP, Scheduler
from wf_scheduling.prepare import SchedulePreparer
from wf_scheduling.store import FileScheduleStore
UTC_TZ = UTC
@@ -41,21 +48,6 @@ class PeriodicSource:
return self.start + n * self.period
class OneShotSource:
def __init__(self, at: datetime) -> None:
self.at = at
self.next_calls = 0
self.prev_calls = 0
def next_after(self, instant: datetime) -> datetime | None:
self.next_calls += 1
return self.at if instant < self.at else None
def prev_before(self, instant: datetime) -> datetime | None:
self.prev_calls += 1
return self.at if instant > self.at else None
def _sched_model(sid: str, start_hint: str = "cron", **kw: Any) -> Schedule:
now = ts(2026, 9, 8, 12, 0)
base: dict[str, Any] = {
@@ -74,21 +66,27 @@ def _harness(
tmp_path: Path,
*,
capacity: int = 4,
outcomes: dict[str, str] | None = None,
script: dict | None = None,
deployments: dict[str, dict] | None = None,
) -> tuple[Scheduler, FileScheduleStore, FileRunStore, dict]:
sched_store = FileScheduleStore(tmp_path / "sched")
run_store = FileRunStore(tmp_path / "runs")
sources: dict = {}
preparer = SchedulePreparer(
DictDeployments(
deployments
if deployments is not None
else {"dep-1": {"rev": 1, "required": []}}
),
fixture_environment,
)
sched = Scheduler(
schedule_store=sched_store,
run_store=run_store,
sources=sources,
capacity=capacity,
outcomes=outcomes,
deployments=deployments
if deployments is not None
else {"dep-1": {"rev": 1, "required": []}},
preparer=preparer,
dispatcher=ScriptedDispatcher(script),
)
return sched, sched_store, run_store, sources
@@ -119,7 +117,7 @@ def test_overlap_skip_blocks_and_late_drops() -> None:
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp)
sched, store, runs, sources = _harness(root, capacity=4, outcomes={"*": "hang"})
sched, store, runs, sources = _harness(root, capacity=4, script={"*": "hang"})
t0 = ts(2026, 9, 8, 12, 0)
_add(
sched,
@@ -161,7 +159,7 @@ def test_latest_coalesces_to_one_candidate_and_no_double_admit() -> None:
# Capacity returns at 13:00 while 13:00 is also due: exactly one
# admission for 13:00, 12:00 superseded, never both.
sched.capacity = 4
sched.outcomes = {"*": "complete"}
cast(ScriptedDispatcher, sched.dispatcher).script = {"*": "complete"}
sched.poll(ts(2026, 9, 8, 13, 0))
admitted = [r for r in _history(store, "h") if r["kind"] == "admitted"]
assert len(admitted) == 1
@@ -176,7 +174,7 @@ def test_parallel_limits_and_interrupted_slots() -> None:
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp)
sched, store, runs, sources = _harness(root, capacity=4, outcomes={"*": "hang"})
sched, store, runs, sources = _harness(root, capacity=4, script={"*": "hang"})
t0 = ts(2026, 9, 8, 12, 0)
_add(
sched,
@@ -216,7 +214,7 @@ def test_pause_is_not_downtime() -> None:
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp)
sched, store, runs, sources = _harness(
root, capacity=4, outcomes={"*": "complete"}
root, capacity=4, script={"*": "complete"}
)
_add(
sched,
@@ -244,7 +242,7 @@ def test_pause_is_not_downtime() -> None:
def test_long_downtime_is_bounded(tmp_path: Path) -> None:
sched, store, runs, sources = _harness(
tmp_path, capacity=4, outcomes={"*": "complete"}
tmp_path, capacity=4, script={"*": "complete"}
)
src = PeriodicSource(timedelta(minutes=1), ts(2023, 9, 8, 12, 0))
_add(sched, store, sources, "m", src, ts(2023, 9, 8, 12, 0), misfire="latest")
@@ -259,7 +257,7 @@ def test_long_downtime_is_bounded(tmp_path: Path) -> None:
def test_fairness_slow_schedule_not_starved(tmp_path: Path) -> None:
sched, store, runs, sources = _harness(tmp_path, capacity=1, outcomes={"*": "hang"})
sched, store, runs, sources = _harness(tmp_path, capacity=1, script={"*": "hang"})
t0 = ts(2026, 9, 8, 12, 0)
_add(
sched,
@@ -288,6 +286,6 @@ def test_capacity_wait_then_expire_for_skip(tmp_path: Path) -> None:
assert sched.poll(t0) == {"a": "admit:held-undecided"}
assert store.get_candidate("a") is None
sched.capacity = 1
sched.outcomes = {"*": "complete"}
cast(ScriptedDispatcher, sched.dispatcher).script = {"*": "complete"}
sched.poll(t0 + timedelta(seconds=30))
assert len([r for r in _history(store, "a") if r["kind"] == "admitted"]) == 1
+216
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@@ -0,0 +1,216 @@
"""Typed invocation preparation over real schedule bindings (R4/F6).
The scheduler no longer hardcodes fixture input: ``SchedulePreparer``
resolves the schedule's own ``input_bindings`` against the occurrence
environment through the shared schedule-expression contract, rechecks
the deployment directory, and reports preflight rejections without
inventing a run.
"""
from __future__ import annotations
import inspect
from datetime import UTC, datetime, timedelta
from pathlib import Path
from typing import Any, cast
from tests.scheduling.controlled import (
DictDeployments,
ScriptedDispatcher,
fixture_environment,
)
from wf_artifacts.runs.store import FileRunStore
from wf_scheduling.calendar import OneShotSource
from wf_scheduling.dispatch import RunDispatcher
from wf_scheduling.models import Schedule
from wf_scheduling.poll import Scheduler
from wf_scheduling.prepare import (
InvocationPreparer,
PreparationRejected,
SchedulePreparer,
)
from wf_scheduling.store import FileScheduleStore
def ts(y: int, mo: int, d: int, h: int = 0, mi: int = 0) -> datetime:
return datetime(y, mo, d, h, mi, tzinfo=UTC)
def _sched_model(sid: str, **kw: Any) -> Schedule:
now = ts(2026, 9, 8, 12, 0)
base: dict[str, Any] = {
"id": sid,
"deployment_id": "dep-1",
"trigger": {"kind": "cron", "expression": "0 * * * *", "timezone": "UTC"},
"input_bindings": [],
"created_at": now.isoformat(),
"updated_at": now.isoformat(),
}
base.update(kw)
return Schedule.model_validate(base)
def _scheduler(
tmp_path: Path, script: dict | None = None
) -> tuple[Scheduler, FileScheduleStore, FileRunStore]:
sched_store = FileScheduleStore(tmp_path / "sched")
run_store = FileRunStore(tmp_path / "runs")
preparer = SchedulePreparer(
DictDeployments({"dep-1": {"rev": 3, "required": []}}),
fixture_environment,
)
sched = Scheduler(
schedule_store=sched_store,
run_store=run_store,
sources={},
capacity=4,
preparer=preparer,
dispatcher=ScriptedDispatcher(script),
)
return sched, sched_store, run_store
def test_scheduler_requires_typed_collaborators() -> None:
params = inspect.signature(Scheduler.__init__).parameters
assert set(params) == {
"self",
"schedule_store",
"run_store",
"sources",
"capacity",
"preparer",
"dispatcher",
}
def test_production_scheduler_has_no_fixture_seams() -> None:
import wf_scheduling.poll as poll_module
source = inspect.getsource(poll_module)
assert "_test_environment" not in source
assert "self.outcomes" not in source
assert "self.deployments" not in source
assert "FixturePreparer" not in source
assert '"eng"' not in source and "'eng'" not in source
# Collaborators are protocols consumed here, implemented elsewhere.
assert "InvocationPreparer" in source
assert "RunDispatcher" in source
assert isinstance(
poll_module.Scheduler.__init__.__annotations__["preparer"], object
)
def test_preparer_contract_is_a_protocol() -> None:
assert issubclass(InvocationPreparer, object)
assert issubclass(RunDispatcher, object)
def test_occurrence_bindings_resolve_into_admission(tmp_path: Path) -> None:
sched, store, runs = _scheduler(tmp_path, script={"*": "hang"})
intended = ts(2026, 9, 8, 12, 0)
model = _sched_model(
"b",
input_bindings=[
{
"target": "team",
"expression": {"kind": "literal", "value": "engineering"},
},
{
"target": "report_time",
"expression": {"kind": "occurrence", "field": "scheduled_at"},
},
{
"target": "which",
"expression": {"kind": "occurrence", "field": "schedule_id"},
},
],
)
store.create_schedule(model)
store.save_consumed("b", intended - timedelta(hours=1))
sched.sources["b"] = OneShotSource(intended)
result = sched.poll(intended)
assert result["b"].startswith("admit:run-")
run_id = result["b"].split(":", 1)[1]
admission = runs.get_admission(run_id)
assert admission.resolved_input["team"] == "engineering"
assert admission.resolved_input["report_time"] == intended.isoformat()
assert admission.resolved_input["which"] == "b"
assert admission.deployment_revision == 3
assert admission.schedule_revision == 1
def test_unknown_deployment_rejects_without_a_run(tmp_path: Path) -> None:
sched, store, runs = _scheduler(tmp_path)
intended = ts(2026, 9, 8, 12, 0)
store.create_schedule(_sched_model("gone", deployment_id="dep-missing"))
store.save_consumed("gone", intended - timedelta(hours=1))
sched.sources["gone"] = OneShotSource(intended)
assert sched.poll(intended) == {"gone": "admit:None"}
assert runs.list_runs() == []
assert runs.list_admissions() == []
page = store.list_occurrences("gone", limit=100)
kinds = [r["kind"] for r in cast(list[dict[str, Any]], page["occurrences"])]
assert kinds == ["preflight-rejected"]
def test_missing_required_input_rejects_without_a_run(tmp_path: Path) -> None:
sched_store = FileScheduleStore(tmp_path / "sched")
run_store = FileRunStore(tmp_path / "runs")
preparer = SchedulePreparer(
DictDeployments({"dep-1": {"rev": 1, "required": ["token"]}}),
fixture_environment,
)
sched = Scheduler(
schedule_store=sched_store,
run_store=run_store,
sources={},
capacity=4,
preparer=preparer,
dispatcher=ScriptedDispatcher({"*": "hang"}),
)
intended = ts(2026, 9, 8, 12, 0)
sched_store.create_schedule(_sched_model("need"))
sched_store.save_consumed("need", intended - timedelta(hours=1))
sched.sources["need"] = OneShotSource(intended)
assert sched.poll(intended) == {"need": "admit:None"}
assert run_store.list_runs() == []
page = sched_store.list_occurrences("need", limit=100)
entry = cast(list[dict[str, Any]], page["occurrences"])[0]
assert entry["kind"] == "preflight-rejected"
assert "missing-input" in entry["reason"]
def test_conflicting_schedule_targets_reject_without_a_run(tmp_path: Path) -> None:
sched, store, runs = _scheduler(tmp_path)
intended = ts(2026, 9, 8, 12, 0)
store.create_schedule(
_sched_model(
"conflict",
input_bindings=[
{
"target": "a",
"expression": {"kind": "literal", "value": 1},
},
{
"target": "a.b",
"expression": {"kind": "literal", "value": 2},
},
],
)
)
store.save_consumed("conflict", intended - timedelta(hours=1))
sched.sources["conflict"] = OneShotSource(intended)
assert sched.poll(intended) == {"conflict": "admit:None"}
assert runs.list_runs() == []
page = store.list_occurrences("conflict", limit=100)
entry = cast(list[dict[str, Any]], page["occurrences"])[0]
assert entry["kind"] == "preflight-rejected"
assert entry["reason"].startswith("invalid-input:")
def test_preparer_rejection_type_shape() -> None:
import dataclasses
rejected = PreparationRejected(reason="deployment-deleted")
assert rejected.reason == "deployment-deleted"
assert dataclasses.is_dataclass(PreparationRejected)
+12 -2
View File
@@ -6,10 +6,17 @@ from datetime import UTC, datetime
from pathlib import Path
from typing import Any
from tests.scheduling.controlled import (
DictDeployments,
ScriptedDispatcher,
fixture_environment,
)
from wf_artifacts.runs.store import FileRunStore
from wf_scheduling import recovery as sched_recovery
from wf_scheduling.calendar import OneShotSource
from wf_scheduling.models import Schedule
from wf_scheduling.poll import Scheduler
from wf_scheduling.prepare import SchedulePreparer
from wf_scheduling.store import FileScheduleStore
@@ -92,7 +99,6 @@ def test_recovery_never_executes_pending_until_poll(tmp_path: Path) -> None:
from tests.artifacts.test_run_store import artifact as _artifact
from tests.artifacts.test_run_store import deployment as _deployment
from tests.scheduling.test_poll import OneShotSource
from wf_api.run_lifecycle import persist_admission
from wf_artifacts import PinnedRunEnvironment
@@ -124,7 +130,11 @@ def test_recovery_never_executes_pending_until_poll(tmp_path: Path) -> None:
run_store=run_store,
sources=sources, # type: ignore[arg-type]
capacity=4,
outcomes={"*": "complete"},
preparer=SchedulePreparer(
DictDeployments({"dep-1": {"rev": 1, "required": []}}),
fixture_environment,
),
dispatcher=ScriptedDispatcher({"*": "complete"}),
)
sched_store.save_consumed("a", ts(2026, 9, 8, 12, 0))
sched.poll(ts(2026, 9, 8, 12, 1))