refactor: reuse resume run store

src/wf_api/runs.py

@@ -2,10 +2,12 @@ from __future__ import annotations
 
 import asyncio
 from dataclasses import asdict
+from datetime import UTC, datetime
 from typing import Any, Protocol
 
 from wf_artifacts import (
     DependencyDiagnostic,
+    ResumeAttempt,
     RunStore,
     StoredRunStatus,
     WorkflowArtifact,
@@ -266,7 +268,7 @@ class WorkflowRunApi:
         )
         if has_blocking_diagnostics(diagnostics):
             blocked = mark_resume_blocked(
-                store=self._run_store(),
+                store=store,
                 record=record,
                 diagnostics=diagnostics,
             )
@@ -291,20 +293,8 @@ class WorkflowRunApi:
         # the ACTIVE marker so recovery fails closed instead of presenting
         # the old checkpoint as safe to retry. Every stopped result echoes
         # the attempt identity back for matching.
-        from datetime import UTC as _UTC
-        from datetime import datetime as _datetime
-
-        from wf_artifacts.runs.models import ResumeAttempt
-
-        store = self._run_store()
-        existing_attempt = store.get_resume_attempt(run_id)
-        if existing_attempt is not None and existing_attempt.state == "ACTIVE":
-            raise ValueError(
-                f"workflow run {run_id!r} has an ambiguous active resume attempt; "
-                "recovery must fail it closed before retry"
-            )
         attempt_id = store.allocate_resume_attempt_id()
-        now_marker = _datetime.now(_UTC)
+        now_marker = datetime.now(UTC)
         store.save_resume_attempt(
             ResumeAttempt(
                 run_id=run_id,
@@ -335,7 +325,7 @@ class WorkflowRunApi:
             run_id=run_id,
             attempt_id=attempt_id,
         )
-        cleared_at = _datetime.now(_UTC)
+        cleared_at = datetime.now(UTC)
         store.save_resume_attempt(
             ResumeAttempt(
                 run_id=run_id,