def get_task_result_status(self, kwargs):
"""
批量查询job任务结果
"""
result = None
result_message = {}
kwargs.update({
"bk_username": self.bk_username,
})
for query_max_times in range(100):
result = JobV3Api.get_job_instance_status(kwargs, raw=True)
if result["result"]:
is_finished = result["data"].get("finished")
if is_finished:
if result["data"].get("job_instance").get("status") != 3:
# 错误需要捕捉到错误日志，打印到前端展示
step_instance_id = result["data"].get(
"step_instance_list")[0]['step_instance_id']
kwargs['step_instance_id'] = step_instance_id
kwargs['bk_cloud_id'] = bk_cloud_id
result_message = self.get_task_ip_log(kwargs)
break
time.sleep(2)
# 执行中则继续轮询
else:
time.sleep(2)
return result, json.dumps(result_message)
def schedule(self, data, parent_data, callback_data=None):
act_info = data.get_one_of_inputs('act_info')
bk_username = act_info['bk_username']
app_id = act_info['app_id']
if data.get_one_of_outputs('result_message') == 'skip':
# 表示该节点已经内部跳过，不执行监听
self.finish_schedule()
return True
# 控制是否读取任务正确时读取返回日志的变量，默认false
is_read_success_message = act_info.get('is_read_success_message')
if is_read_success_message is None:
is_read_success_message = False
target_ips = data.get_one_of_outputs('target_ips')
job_instance_id = data.get_one_of_outputs('job_instance_id')
kwargs = {
"bk_biz_id": app_id,
"bk_username": bk_username,
"job_instance_id": job_instance_id,
"return_ip_result": True,
}
res = JobV3Api.get_job_instance_status(kwargs, raw=True)
if not res['result']:
return False
if res['data']['finished']:
self.finish_schedule()
step_instance_id = res["data"].get("step_instance_list")[0]['step_instance_id']
kwargs['step_instance_id'] = step_instance_id
kwargs['bk_cloud_id'] = bk_cloud_id
if res["data"].get("job_instance").get("status") == 3:
# job任务执行成功
if is_read_success_message:
data.outputs.result_message = self.__get_task_ip_log(kwargs=kwargs, target_ips=target_ips)
else:
data.outputs.result_message = "success"
else:
# job结束后status不等于3 视为调用失败
data.outputs.result_message = self.__get_task_ip_log(kwargs=kwargs, target_ips=target_ips)
return False
return True