refactor: isolate agent task execution data boundary (#6433)

This commit is contained in:
InfinityPacer
2026-08-24 12:14:46 +08:00
committed by GitHub
parent 8440793edb
commit feff545b16
11 changed files with 907 additions and 64 deletions
+51 -17
View File
@@ -28,7 +28,7 @@ from app.chain.transfer import TransferChain
from app.chain.workflow import WorkflowChain
from app.runtime.config import global_vars
from app.runtime.events import Event, eventmanager
from app.db.oper.agenttask import AgentTaskOper
from app.application.agentdata import get_agent_task_port
from app.application.database import get_database_governance
from app.application.outbox import dispatch_pending_outbox
from app.application.plugin.runtime import get_plugin_manager
@@ -1274,6 +1274,8 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
func = job.get("func")
if not func:
return
if func == self.execute_agent_task:
kwargs.setdefault("scheduler_generation", generation)
if self.__supports_progress_callback(func) and "progress_callback" not in kwargs:
kwargs["progress_callback"] = self.__build_progress_callback(
job_id=job_id, job=job
@@ -1426,7 +1428,7 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
"""
按数据库当前状态注册所有启用的 Agent 自主定时任务。
"""
for task in AgentTaskOper().list(enabled=True):
for task in get_agent_task_port().list(enabled=True):
self.update_agent_task_job(task.id)
def _reconcile_agent_task_interruptions(self) -> None:
@@ -1439,7 +1441,7 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
with self._lock:
if self._agent_task_interruptions_reconciled:
return
oper = AgentTaskOper()
oper = get_agent_task_port()
for task in oper.list():
if task.last_status == "running":
oper.mark_interrupted(
@@ -1460,7 +1462,7 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
"""
config = get_scheduler_runtime_config()
self.remove_agent_task_job(task_id)
task = AgentTaskOper().get(task_id)
task = get_agent_task_port().get(task_id)
if (
not config.ai_agent_enable
or not task
@@ -1496,6 +1498,8 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
kwargs={"task_id": task_id},
).to_runtime_state()
self._assign_job_generation(job_id, job)
job["_agent_task_run_id"] = task.last_run_id
job["_agent_task_status"] = task.last_status
self._jobs[job_id] = job
self._jobs[job_id]["provider_name"] = "[Agent]"
# 已开始的一次任务在重启后结果未知,只保留显式执行入口,不能按
@@ -1531,6 +1535,31 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
except JobLookupError:
pass
def _remove_agent_task_job_generation(
self,
task_id: int,
generation: int,
run_id: str,
) -> bool:
"""移除本次执行或其运行中重载产生的 AgentTask 调度注册。"""
job_id = self._get_agent_task_job_id(task_id)
with self._lock:
job = self._jobs.get(job_id)
if job is None:
return False
if job.get("_generation", 0) != generation and not (
job.get("_agent_task_run_id") == run_id
and job.get("_agent_task_status") == "running"
):
return False
self._jobs.pop(job_id, None)
if self._scheduler:
try:
self._scheduler.remove_job(job_id)
except JobLookupError:
pass
return True
def get_agent_task_next_run(self, task_id: int) -> Optional[str]:
"""
查询 Agent 自主定时任务的下一次执行时间。
@@ -1546,7 +1575,7 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
if next_run_time:
return next_run_time.isoformat(timespec="seconds")
task = AgentTaskOper().get(task_id)
task = get_agent_task_port().get(task_id)
if not task or not task.enabled:
return None
if task.trigger_type == "date" and task.last_status == "interrupted":
@@ -1572,6 +1601,7 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
self,
task_id: int,
trigger_source: str = "scheduled",
scheduler_generation: int | None = None,
) -> tuple[bool, str]:
"""
唤醒 Agent 执行指定自主定时任务。
@@ -1582,19 +1612,23 @@ class Scheduler(ConfigReloadMixin, metaclass=SingletonClass):
"""
from app.application.agent import get_running_agent_manager
try:
manager = get_running_agent_manager()
if manager is None:
logger.warning("智能助手服务未运行,跳过 Agent 定时任务")
return False, "智能助手服务未运行"
return await manager.execute_scheduled_task(
task_id,
trigger_source=trigger_source,
manager = get_running_agent_manager()
if manager is None:
logger.warning("智能助手服务未运行,跳过 Agent 定时任务")
return False, "智能助手服务未运行"
if scheduler_generation is None:
job_id = self._get_agent_task_job_id(task_id)
with self._lock:
job = self._jobs.get(job_id)
if job is not None:
scheduler_generation = job.get("_generation", 0)
kwargs: dict[str, Any] = {"trigger_source": trigger_source}
if scheduler_generation is not None:
kwargs.update(
scheduler_generation=scheduler_generation,
remove_schedule=self._remove_agent_task_job_generation,
)
finally:
task = await AgentTaskOper().async_get(task_id)
if task and task.trigger_type == "date" and not task.enabled:
self.remove_agent_task_job(task_id)
return await manager.execute_scheduled_task(task_id, **kwargs)
def init_plugin_jobs(self):
"""