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Dataset card Data Studio Files Community
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return None
# create a temporary file to pass to ansible, since the
# api is not stable yet...
if self._storage_path_tmp:
if not self._storage_path:
self._storage_path = tempfile.mkdtemp()
elasticluster.log.warning(
""Writing inventory file to tmp dir `%s`"", self._storage_path)
inventory_path = os.path.join(
self._storage_path, (cluster.name + '.inventory'))
log.debug(""Writing Ansible inventory to file `%s` ..."", inventory_path)
with open(inventory_path, 'w+') as inventory_file:
for section, hosts in inventory_data.items():
# Ansible throws an error ""argument of type 'NoneType' is not
# iterable"" if a section is empty, so ensure we have something
# to write in there
if hosts:
inventory_file.write(""\n["" + section + ""]\n"")
for host in hosts:
# don't want port, makes it look like ipv6
if ':' in host[1]:
match = IPV6_RE.match(node.preferred_ip)
if match:
host = (host[0], match.groups()[0], host[2])
else:
host = (host[0], host[1].partition(':')[0],
host[2])
hostline = ""%s ansible_host=%s %s\n"" % host
inventory_file.write(hostline)
return inventory_path"
4613,"def cleanup(self, cluster):
""""""Deletes the inventory file used last recently used.
:param cluster: cluster to clear up inventory file for
:type cluster: :py:class:`elasticluster.cluster.Cluster`
""""""
if self._storage_path and os.path.exists(self._storage_path):
fname = '%s.%s' % (AnsibleSetupProvider.inventory_file_ending,
cluster.name)
inventory_path = os.path.join(self._storage_path, fname)
if os.path.exists(inventory_path):
try:
os.unlink(inventory_path)
if self._storage_path_tmp:
if len(os.listdir(self._storage_path)) == 0:
shutil.rmtree(self._storage_path)
except OSError as ex:
log.warning(
""AnsibileProvider: Ignoring error while deleting ""
""inventory file %s: %s"", inventory_path, ex)"
4614,"def await_task(self, task_id, service_id, callback_fn=None, sleep_sec=15):
""""""
Подождать выполнения задачи запускатора
:param task_id: ID задачи, за которой нужно следить
:param service_id: ID сервиса
:param callback_fn: Функция обратного вызова, в нее будет передаваться task_info и is_finish как признак, что обработка завершена
:param sleep_sec: задержка между проверкой по БД. Не рекомендуется делать меньше 10, так как это может очень сильно ударить по производительности БД
:return: void
""""""
while True:
import time
time.sleep(sleep_sec)
task_info = self.__metadb.one(""""""
SELECT id, service_id, status, result_data
FROM job.task
WHERE id=:task_id::uuid
AND service_id=:service_id::job.service_id
LIMIT 1
"""""", {
""task_id"": task_id,
""service_id"": service_id,
})
self.log.info(""Ждем выполнения задачи"", {
""task_info"": task_info
})
if task_info is None:
break
is_finish = task_info['status'] != 'NEW' and task_info['status'] != 'PROCESSING'
if callback_fn:
# Уведомляем вызывающего
callback_fn(task_info, is_finish)
if is_finish:
break"
4615,"def submit(self, service_id: str, data: dict = None):
""""""
Отправить задачу в запускатор
:param service_id: ID службы. Например ""meta.docs_generate""
:param data: Полезная нагрузка задачи
:return: dict
""""""
if self.__app.starter_api_url == 'http://STUB_URL':
self.log.info('STARTER DEV. Задача условно поставлена', {