def mesos_task_instance_from_assigned_task(assigned_task):
"""Deserialize MesosTaskInstance from an AssignedTask thrift."""
thermos_task = assigned_task.task.executorConfig.data
if not thermos_task:
raise ValueError('Task did not have a thermos config!')
try:
json_blob = json.loads(thermos_task)
except (TypeError, ValueError) as e:
raise ValueError('Could not deserialize thermos config: %s' % e)
# As part of the transition for MESOS-2133, we can send either a MesosTaskInstance
# or we can be sending a MesosJob. So handle both possible cases. Once everyone
# is using MesosJob, then we can begin to leverage additional information that
# becomes available such as cluster.
if 'instance' in json_blob:
return MesosTaskInstance.json_loads(thermos_task)
# This is a MesosJob
mti, refs = task_instance_from_job(MesosJob.json_loads(thermos_task),
assigned_task.instanceId)
for ref in refs:
# If the ref is {{thermos.task_id}} or a subscope of
# {{thermos.ports}}, it currently gets bound by the Thermos Runner,
# so we must leave them unbound.
#
# {{thermos.user}} is a legacy binding which we can safely ignore.
#
# TODO(wickman) These should be rewritten by the mesos client to use
# %%style%% replacements in order to allow us to better type-check configs
# client-side.
if ref == Ref.from_address('thermos.task_id'):
continue
if Ref.subscope(Ref.from_address('thermos.ports'), ref):
continue
if ref == Ref.from_address('thermos.user'):
continue
raise ValueError('Unexpected unbound refs: %s' %
' '.join(map(str, refs)))
return mti
def mesos_task_instance_from_assigned_task(assigned_task):
"""Deserialize MesosTaskInstance from an AssignedTask thrift."""
thermos_task = assigned_task.task.executorConfig.data
if not thermos_task:
raise ValueError('Task did not have a thermos config!')
try:
json_blob = json.loads(thermos_task)
except (TypeError, ValueError) as e:
raise ValueError('Could not deserialize thermos config: %s' % e)
# As part of the transition for MESOS-2133, we can send either a MesosTaskInstance
# or we can be sending a MesosJob. So handle both possible cases. Once everyone
# is using MesosJob, then we can begin to leverage additional information that
# becomes available such as cluster.
if 'instance' in json_blob:
return MesosTaskInstance.json_loads(thermos_task)
# This is a MesosJob
mti, refs = task_instance_from_job(MesosJob.json_loads(thermos_task), assigned_task.instanceId)
for ref in refs:
# If the ref is {{thermos.task_id}} or a subscope of
# {{thermos.ports}}, it currently gets bound by the Thermos Runner,
# so we must leave them unbound.
#
# {{thermos.user}} is a legacy binding which we can safely ignore.
#
# TODO(wickman) These should be rewritten by the mesos client to use
# %%style%% replacements in order to allow us to better type-check configs
# client-side.
if ref == Ref.from_address('thermos.task_id'):
continue
if Ref.subscope(Ref.from_address('thermos.ports'), ref):
continue
if ref == Ref.from_address('thermos.user'):
continue
raise ValueError('Unexpected unbound refs: %s' % ' '.join(map(str, refs)))
return mti
def test_task_instance_from_job():
instance = task_instance_from_job(Job(health_check_interval_secs=30), 0)
assert instance is not None
def test_task_instance_from_job(): instance = task_instance_from_job(Job(health_check_interval_secs=30), 0) assert instance is not None
