def _converge_all(self, my_buckets, divergent_flags):
"""Run :func:`converge_all_groups` and log errors."""
eff = self._converge_all_groups(
self.currently_converging, self.recently_converged, self.waiting,
my_buckets, self._buckets, divergent_flags, self.build_timeout,
self.interval, self.limited_retry_iterations, self.step_limits)
return eff.on(error=lambda e: err(exc_info_to_failure(e),
'converge-all-groups-error'))
def _converge_all(self, my_buckets, divergent_flags):
"""Run :func:`converge_all_groups` and log errors."""
eff = self._converge_all_groups(
self.currently_converging, self.recently_converged,
self.waiting,
my_buckets, self._buckets, divergent_flags, self.build_timeout,
self.interval, self.limited_retry_iterations, self.step_limits)
return eff.on(
error=lambda e: err(
exc_info_to_failure(e), 'converge-all-groups-error'))
def __init__(self, failure, msg, fields):
# `failure` being `None` means "get the exception from context".
# We can't wait until the intent is performed to do that, because the
# exception context will be lost, so we explicitly instantiate a new
# Failure here.
if failure is None:
failure = Failure()
if type(failure) is tuple:
failure = exc_info_to_failure(failure)
self.failure = failure
self.msg = msg
self.fields = fields
def get_all_metrics_effects(tenanted_groups, log, _print=False):
"""
Gather server data for and produce metrics for all groups
across all tenants in a region
:param dict tenanted_groups: Scaling groups grouped with tenantId
:param bool _print: Should the function print while processing?
:return: ``list`` of :obj:`Effect` of (``list`` of :obj:`GroupMetrics`)
or None
"""
effs = []
for tenant_id, groups in tenanted_groups.iteritems():
eff = get_all_scaling_group_servers()
eff = Effect(TenantScope(eff, tenant_id))
eff = eff.on(partial(get_tenant_metrics, tenant_id, groups,
_print=_print))
eff = eff.on(list)
eff = eff.on(
error=lambda exc_info: log.err(exc_info_to_failure(exc_info)))
effs.append(eff)
return effs
def get_all_metrics_effects(tenanted_groups, log, _print=False):
"""
Gather server data for and produce metrics for all groups
across all tenants in a region
:param dict tenanted_groups: Scaling groups grouped with tenantId
:param bool _print: Should the function print while processing?
:return: ``list`` of :obj:`Effect` of (``list`` of :obj:`GroupMetrics`)
or None
"""
effs = []
for tenant_id, groups in tenanted_groups.iteritems():
eff = get_all_scaling_group_servers()
eff = Effect(TenantScope(eff, tenant_id))
eff = eff.on(partial(get_tenant_metrics, tenant_id, groups,
_print=_print))
eff = eff.on(list)
eff = eff.on(
error=lambda exc_info: log.err(exc_info_to_failure(exc_info)))
effs.append(eff)
return effs
def log_and_raise(msg, exc_info):
"""
Log error and raise it
"""
eff = err(exc_info_to_failure(exc_info), msg)
return eff.on(lambda _: six.reraise(*exc_info))
def log_and_raise(msg, exc_info):
"""
Log error and raise it
"""
eff = err(exc_info_to_failure(exc_info), msg)
return eff.on(lambda _: six.reraise(*exc_info))
