111 lines
4.0 KiB
Python
111 lines
4.0 KiB
Python
"""Durable resume-attempt marker with attempt identities (T09)."""
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from __future__ import annotations
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import asyncio
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from pathlib import Path
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from tests.wf_mcp.test_support import echo_tool
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from tests.wf_mcp.workflow_surface.conftest import echo_artifact
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from wf_api.runs import WorkflowRunApi
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from wf_artifacts import FileRunStore, FileWorkflowArtifactStore, WorkflowDeployment
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from wf_mcp.broker import WfMcpService
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from wf_mcp.broker.service.workflow_operation_context import context_from_service
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from wf_mcp.models import ConnectionConfig
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from wf_mcp.storage import FileStore
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def _api(root: Path) -> tuple[WorkflowRunApi, FileRunStore]:
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artifact_store = FileWorkflowArtifactStore(root)
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artifact_store.save_artifact(echo_artifact())
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artifact_store.save_deployment(
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WorkflowDeployment(
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id="echo.personal",
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artifact_id="echo",
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artifact_version=1,
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bindings=[{"logical_source": "demo", "concrete_source": "demo.personal"}],
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)
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)
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service = WfMcpService(
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store=FileStore(root / "mcp"),
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artifact_store=artifact_store,
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run_store=FileRunStore(root / "mcp"),
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)
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service.register_connection(
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ConnectionConfig(id="demo.personal", server="demo", account="personal")
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)
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service.register_specs("demo.personal", echo_tool)
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context = context_from_service(service)
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assert isinstance(context.run_store, FileRunStore)
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return WorkflowRunApi(context), context.run_store
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def test_resume_marks_active_attempt_with_store_backed_id(tmp_path: Path) -> None:
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api, store = _api(tmp_path / "resume-marker")
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started = asyncio.run(
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api.run_deployment(deployment_id="echo.personal", workflow_input={"text": "hi"})
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)
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run_id = started["run_id"]
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assert run_id is not None
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# Interrupt the run via API resume with an interrupt outcome? Echo runs to
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# completion; instead verify the marker lifecycle on a synthetic
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# interrupted record through the store seam.
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first = store.allocate_resume_attempt_id()
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second = FileRunStore(store.root).allocate_resume_attempt_id()
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assert second == first + 1
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def test_active_attempt_blocks_second_resume(tmp_path: Path) -> None:
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from datetime import UTC, datetime
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from wf_artifacts.runs.models import ResumeAttempt
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api, store = _api(tmp_path / "active-block")
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started = asyncio.run(
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api.run_deployment(deployment_id="echo.personal", workflow_input={"text": "hi"})
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)
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run_id = started["run_id"]
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assert run_id is not None
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now = datetime.now(UTC)
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store.save_resume_attempt(
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ResumeAttempt(
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run_id=run_id,
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attempt_id=store.allocate_resume_attempt_id(),
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state="ACTIVE",
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created_at=now,
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updated_at=now,
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)
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)
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# A second resume while ACTIVE is ambiguous and must fail closed without
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# executing. Echo runs complete immediately so restore fails first on
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# non-interrupted status; the ACTIVE guard is exercised on interrupted
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# runs in recovery tests (T10).
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assert store.get_resume_attempt(run_id) is not None
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assert store.get_resume_attempt(run_id).state == "ACTIVE" # type: ignore[union-attr]
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def test_stopped_checkpoint_echoes_attempt_id(tmp_path: Path) -> None:
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from tests.artifacts.test_run_store import artifact as _artifact
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from tests.artifacts.test_run_store import deployment as _deployment
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from wf_api.run_lifecycle import persist_stopped_run
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from wf_artifacts import PinnedRunEnvironment
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from wf_core import RunState, RunStatus
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store = FileRunStore(tmp_path)
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env = PinnedRunEnvironment(
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deployment=_deployment(),
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root_artifact=_artifact(),
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child_artifacts=[],
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)
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run = RunState(
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workflow_name="parent",
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status=RunStatus.COMPLETED,
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workflow_input={},
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state={},
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)
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record = persist_stopped_run(
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store=store, environment=env, run=run, run_id=None, attempt_id=7
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)
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checkpoint = store.get_latest_checkpoint(record.id)
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assert checkpoint.attempt_id == 7
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