def convergence_remove_server_from_group(log, transaction_id, server_id,
replace, purge, group, state):
"""
Remove a specific server from the group, optionally decrementing the
desired capacity.
The server may just be scheduled for deletion, or it may be evicted from
the group by removing otter-specific metdata from the server.
:param log: A bound logger
:param bytes trans_id: The transaction id for this operation.
:param bytes server_id: The id of the server to be removed.
:param bool replace: Should the server be replaced?
:param bool purge: Should the server be deleted from Nova?
:param group: The scaling group to remove a server from.
:type group: :class:`~otter.models.interface.IScalingGroup`
:param state: The current state of the group.
:type state: :class:`~otter.models.interface.GroupState`
:return: The updated state.
:rtype: Effect of :class:`~otter.models.interface.GroupState`
:raise: :class:`CannotDeleteServerBelowMinError` if the server cannot
be deleted without replacement, and :class:`ServerNotFoundError` if
there is no such server to be deleted.
"""
effects = [_is_server_in_group(group, server_id)]
if not replace:
effects.append(_can_scale_down(group, server_id))
# the (possibly) two checks can happen in parallel, but we want
# ServerNotFoundError to take precedence over
# CannotDeleteServerBelowMinError
both_checks = yield parallel_all_errors(effects)
for is_error, result in both_checks:
if is_error:
reraise(*result)
# Remove the server
if purge:
eff = set_nova_metadata_item(server_id, *DRAINING_METADATA)
else:
eff = Effect(
EvictServerFromScalingGroup(log=log,
transaction_id=transaction_id,
scaling_group=group,
server_id=server_id))
yield Effect(
TenantScope(
retry_effect(eff, retry_times(3), exponential_backoff_interval(2)),
group.tenant_id))
if not replace:
yield do_return(assoc_obj(state, desired=state.desired - 1))
else:
yield do_return(state)
def convergence_remove_server_from_group(
log, transaction_id, server_id, replace, purge, group, state):
"""
Remove a specific server from the group, optionally decrementing the
desired capacity.
The server may just be scheduled for deletion, or it may be evicted from
the group by removing otter-specific metdata from the server.
:param log: A bound logger
:param bytes trans_id: The transaction id for this operation.
:param bytes server_id: The id of the server to be removed.
:param bool replace: Should the server be replaced?
:param bool purge: Should the server be deleted from Nova?
:param group: The scaling group to remove a server from.
:type group: :class:`~otter.models.interface.IScalingGroup`
:param state: The current state of the group.
:type state: :class:`~otter.models.interface.GroupState`
:return: The updated state.
:rtype: Effect of :class:`~otter.models.interface.GroupState`
:raise: :class:`CannotDeleteServerBelowMinError` if the server cannot
be deleted without replacement, and :class:`ServerNotFoundError` if
there is no such server to be deleted.
"""
effects = [_is_server_in_group(group, server_id)]
if not replace:
effects.append(_can_scale_down(group, server_id))
# the (possibly) two checks can happen in parallel, but we want
# ServerNotFoundError to take precedence over
# CannotDeleteServerBelowMinError
both_checks = yield parallel_all_errors(effects)
for is_error, result in both_checks:
if is_error:
reraise(*result)
# Remove the server
if purge:
eff = set_nova_metadata_item(server_id, *DRAINING_METADATA)
else:
eff = Effect(
EvictServerFromScalingGroup(log=log,
transaction_id=transaction_id,
scaling_group=group,
server_id=server_id))
yield Effect(TenantScope(
retry_effect(eff, retry_times(3), exponential_backoff_interval(2)),
group.tenant_id))
if not replace:
yield do_return(assoc_obj(state, desired=state.desired - 1))
else:
yield do_return(state)
def _acquire_loop(self, blocking, timeout):
acquired = yield self.is_acquired_eff()
if acquired or not blocking:
yield do_return(acquired)
start = yield Effect(Func(time.time))
while True:
yield Effect(Delay(self._interval))
if (yield self.is_acquired_eff()):
yield do_return(True)
if timeout is not None:
now = yield Effect(Func(time.time))
if now - start > timeout:
raise LockTimeout("Failed to acquire lock on {} in {} seconds".format(self.path, now - start))
def step(state):
yield display(render(state))
try:
user_input = yield Effect(Prompt("> "))
cmd, arg = parse(user_input)
result = dispatch(state, cmd, arg)
yield display("Okay.")
yield do_return(result)
except (EOFError, KeyboardInterrupt):
yield display("\nThanks for playing!")
sys.exit(0)
except Exception as e:
yield display(str(e))
yield do_return(state)
def _acquire_loop(self, blocking, timeout):
acquired = yield self.is_acquired_eff()
if acquired or not blocking:
yield do_return(acquired)
start = yield Effect(Func(time.time))
while True:
yield Effect(Delay(self._interval))
if (yield self.is_acquired_eff()):
yield do_return(True)
if timeout is not None:
now = yield Effect(Func(time.time))
if now - start > timeout:
raise LockTimeout(
"Failed to acquire lock on {} in {} seconds".format(
self.path, now - start))
def is_acquired_eff(self):
"""
Effect implementation of ``is_acquired``.
:return: ``Effect`` of ``bool``
"""
if self._node is None:
yield do_return(False)
children = yield Effect(GetChildren(self.path))
if not children:
yield do_return(False)
# The last 10 characters are sequence number as per
# https://zookeeper.apache.org/doc/current/zookeeperProgrammers.html#Sequence+Nodes+--+Unique+Naming
basename = self._node.rsplit("/")[-1]
yield do_return(sorted(children, key=lambda c: c[-10:])[0] == basename)
def is_acquired_eff(self):
"""
Effect implementation of ``is_acquired``.
:return: ``Effect`` of ``bool``
"""
if self._node is None:
yield do_return(False)
children = yield Effect(GetChildren(self.path))
if not children:
yield do_return(False)
# The last 10 characters are sequence number as per
# https://zookeeper.apache.org/doc/current/zookeeperProgrammers.html#Sequence+Nodes+--+Unique+Naming
basename = self._node.rsplit("/")[-1]
yield do_return(sorted(children, key=lambda c: c[-10:])[0] == basename)
def _execute_steps(steps):
"""
Given a set of steps, executes them, logs the result, and returns the worst
priority with a list of reasons for that result.
:return: a tuple of (:class:`StepResult` constant., list of reasons)
"""
if len(steps) > 0:
results = yield steps_to_effect(steps)
severity = [
StepResult.FAILURE, StepResult.RETRY, StepResult.LIMITED_RETRY,
StepResult.SUCCESS
]
priority = sorted(results,
key=lambda (status, reasons): severity.index(status))
worst_status = priority[0][0]
results_to_log = [{
'step': step,
'result': result,
'reasons': map(structure_reason, reasons)
} for step, (result, reasons) in zip(steps, results)]
reasons = reduce(operator.add,
(x[1] for x in results if x[0] == worst_status))
else:
worst_status = StepResult.SUCCESS
results_to_log = reasons = []
yield msg('execute-convergence-results',
results=results_to_log,
worst_status=worst_status.name)
yield do_return((worst_status, reasons))
def handle_take(request):
item_name = request.form['item_name']
state = yield Effect(LoadGame())
st = take(state, item_name)
if st is not None:
yield Effect(SaveGame(state=st))
yield do_return(redirect(url_for('root')))
def handle_move(request):
exit_name = request.form['exit_name']
state = yield Effect(LoadGame())
st = move(state, exit_name)
if st is not None:
yield Effect(SaveGame(state=st))
yield do_return(redirect(url_for('root')))
def convergence_exec_data(tenant_id, group_id, now, get_executor):
"""
Get data required while executing convergence
"""
sg_eff = Effect(GetScalingGroupInfo(tenant_id=tenant_id,
group_id=group_id))
(scaling_group, manifest) = yield sg_eff
group_state = manifest['state']
launch_config = manifest['launchConfiguration']
executor = get_executor(launch_config)
resources = yield executor.gather(tenant_id, group_id, now)
if group_state.status == ScalingGroupStatus.DELETING:
desired_capacity = 0
else:
desired_capacity = group_state.desired
yield executor.update_cache(scaling_group, now, **resources)
desired_group_state = executor.get_desired_group_state(
group_id, launch_config, desired_capacity)
yield do_return(
(executor, scaling_group, group_state, desired_group_state, resources))
def get_scaling_group_servers(tenant_id,
group_id,
now,
all_as_servers=get_all_scaling_group_servers,
all_servers=get_all_server_details,
cache_class=CassScalingGroupServersCache):
"""
Get a group's servers taken from cache if it exists. Updates cache
if it is empty from newly fetched servers
# NOTE: This function takes tenant_id even though the whole effect is
# scoped on the tenant because cache calls require tenant_id. Should
# they also not take tenant_id and work on the scope?
:return: Servers as list of dicts
:rtype: Effect
"""
cache = cache_class(tenant_id, group_id)
cached_servers, last_update = yield cache.get_servers(False)
if last_update is None:
servers = (yield all_as_servers()).get(group_id, [])
else:
current = yield all_servers()
servers = mark_deleted_servers(cached_servers, current)
servers = list(filter(server_of_group(group_id), servers))
yield do_return(servers)
def acquire_eff(self, blocking, timeout):
"""
Effect implementation of ``acquire`` method.
:return: ``Effect`` of ``bool``
"""
try:
# Before acquiring, lets delete any child node which may be
# lingering from previous acquire. Ideally this should happen only
# when acquire is called again before release. This shouldn't
# happen this is called after release or after is_acquired returns
# False. In any case, its the safest thing to do
yield self.release_eff()
try:
yield Effect(CreateNode(self.path))
except NodeExistsError:
pass
prefix = yield Effect(Func(uuid.uuid4))
# TODO: https://github.com/rackerlabs/otter/issues/1926
create_intent = CreateNode(
"{}/{}".format(self.path, prefix), value=self.identifier, ephemeral=True, sequence=True
)
self._node = yield Effect(create_intent)
acquired = yield self._acquire_loop(blocking, timeout)
if not acquired:
yield self.release_eff()
yield do_return(acquired)
except Exception as e:
yield self.release_eff()
raise e
def convergence_exec_data(tenant_id, group_id, now, get_executor):
"""
Get data required while executing convergence
"""
sg_eff = Effect(GetScalingGroupInfo(tenant_id=tenant_id,
group_id=group_id))
(scaling_group, manifest) = yield sg_eff
group_state = manifest['state']
launch_config = manifest['launchConfiguration']
executor = get_executor(launch_config)
resources = yield executor.gather(tenant_id, group_id, now)
if group_state.status == ScalingGroupStatus.DELETING:
desired_capacity = 0
else:
desired_capacity = group_state.desired
# See [Convergence servers cache] comment on top of the file.
yield executor.update_cache(scaling_group, now, **resources)
desired_group_state = executor.get_desired_group_state(
group_id, launch_config, desired_capacity)
yield do_return((executor, scaling_group, group_state, desired_group_state,
resources))
def convergence_failed(tenant_id, group_id, reasons, timedout=False):
"""
Handle convergence failure
:param str tenant_id: Tenant ID
:param str group_id: Group ID
:param reasons: List of :obj:`ErrorReason` objects
:param bool timedout: Has convergence failed due to reason timing out?
:return: convergence execution status
:rtype: :obj:`ConvergenceIterationStatus`
"""
yield Effect(LoadAndUpdateGroupStatus(tenant_id, group_id,
ScalingGroupStatus.ERROR))
presented_reasons = sorted(present_reasons(reasons))
if len(presented_reasons) == 0:
presented_reasons = [u"Unknown error occurred"]
elif timedout:
presented_reasons = ["Timed out: {}".format(reason)
for reason in presented_reasons]
yield cf_err(
'group-status-error', status=ScalingGroupStatus.ERROR.name,
reasons=presented_reasons)
yield Effect(UpdateGroupErrorReasons(tenant_id, group_id,
presented_reasons))
yield do_return(ConvergenceIterationStatus.Stop())
def _execute_steps(steps):
"""
Given a set of steps, executes them, logs the result, and returns the worst
priority with a list of reasons for that result.
:return: a tuple of (:class:`StepResult` constant,
list of :obj:`ErrorReason`)
"""
if len(steps) > 0:
results = yield steps_to_effect(steps)
severity = [StepResult.FAILURE, StepResult.RETRY,
StepResult.LIMITED_RETRY, StepResult.SUCCESS]
priority = sorted(results,
key=lambda (status, reasons): severity.index(status))
worst_status = priority[0][0]
results_to_log = [
{'step': step,
'result': result,
'reasons': map(structure_reason, reasons)}
for step, (result, reasons) in
zip(steps, results)
]
reasons = reduce(operator.add,
(x[1] for x in results if x[0] == worst_status))
else:
worst_status = StepResult.SUCCESS
results_to_log = reasons = []
yield msg('execute-convergence-results',
results=results_to_log,
worst_status=worst_status.name)
yield do_return((worst_status, reasons))
def acquire_eff(self, blocking, timeout):
"""
Effect implementation of ``acquire`` method.
:return: ``Effect`` of ``bool``
"""
try:
# Before acquiring, lets delete any child node which may be
# lingering from previous acquire. Ideally this should happen only
# when acquire is called again before release. This shouldn't
# happen this is called after release or after is_acquired returns
# False. In any case, its the safest thing to do
yield self.release_eff()
try:
yield Effect(CreateNode(self.path))
except NodeExistsError:
pass
prefix = yield Effect(Func(uuid.uuid4))
# TODO: https://github.com/rackerlabs/otter/issues/1926
create_intent = CreateNode("{}/{}".format(self.path, prefix),
value=self.identifier,
ephemeral=True,
sequence=True)
self._node = yield Effect(create_intent)
acquired = yield self._acquire_loop(blocking, timeout)
if not acquired:
yield self.release_eff()
yield do_return(acquired)
except Exception as e:
yield self.release_eff()
raise e
def get_clb_contents():
"""
Get Rackspace Cloud Load Balancer contents as list of `CLBNode`. CLB
health monitor information is also returned as a pmap of :obj:`CLB` objects
mapped on LB ID.
:return: Effect of (``list`` of :obj:`CLBNode`, `pmap` of :obj:`CLB`)
:rtype: :obj:`Effect`
"""
# If we get a CLBNotFoundError while fetching feeds, we should throw away
# all nodes related to that load balancer, because we don't want to act on
# data that we know is invalid/outdated (for example, if we can't fetch a
# feed because CLB was deleted, we don't want to say that we have a node in
# DRAINING with draining time of 0; we should just say that the node is
# gone).
def gone(r):
return catch(CLBNotFoundError, lambda exc: r)
lb_ids = [lb['id'] for lb in (yield _retry(get_clbs()))]
node_reqs = [_retry(get_clb_nodes(lb_id).on(error=gone([])))
for lb_id in lb_ids]
healthmon_reqs = [
_retry(get_clb_health_monitor(lb_id).on(error=gone(None)))
for lb_id in lb_ids]
all_nodes_hms = yield parallel(node_reqs + healthmon_reqs)
all_nodes, hms = all_nodes_hms[:len(lb_ids)], all_nodes_hms[len(lb_ids):]
lb_nodes = {
lb_id: [CLBNode.from_node_json(lb_id, node)
for node in nodes]
for lb_id, nodes in zip(lb_ids, all_nodes)}
clbs = {
str(lb_id): CLB(bool(health_mon))
for lb_id, health_mon in zip(lb_ids, hms) if health_mon is not None}
draining = [n for n in concat(lb_nodes.values())
if n.description.condition == CLBNodeCondition.DRAINING]
feeds = yield parallel(
[_retry(get_clb_node_feed(n.description.lb_id, n.node_id).on(
error=gone(None)))
for n in draining]
)
nodes_to_feeds = dict(zip(draining, feeds))
deleted_lbs = set([
node.description.lb_id
for (node, feed) in nodes_to_feeds.items() if feed is None])
def update_drained_at(node):
feed = nodes_to_feeds.get(node)
if node.description.lb_id in deleted_lbs:
return None
if feed is not None:
node.drained_at = extract_clb_drained_at(feed)
return node
nodes = map(update_drained_at, concat(lb_nodes.values()))
yield do_return((
list(filter(bool, nodes)),
pmap(keyfilter(lambda k: k not in deleted_lbs, clbs))))
def convergence_succeeded(executor, scaling_group, group_state, resources,
now):
"""
Handle convergence success
"""
if group_state.status == ScalingGroupStatus.DELETING:
# servers have been deleted. Delete the group for real
yield Effect(DeleteGroup(tenant_id=scaling_group.tenant_id,
group_id=scaling_group.uuid))
yield do_return(ConvergenceIterationStatus.GroupDeleted())
elif group_state.status == ScalingGroupStatus.ERROR:
yield Effect(UpdateGroupStatus(scaling_group=scaling_group,
status=ScalingGroupStatus.ACTIVE))
yield cf_msg('group-status-active',
status=ScalingGroupStatus.ACTIVE.name)
# update servers cache with latest servers
yield executor.update_cache(scaling_group, now, include_deleted=False,
**resources)
yield do_return(ConvergenceIterationStatus.Stop())
def convergence_succeeded(executor, scaling_group, group_state, resources):
"""
Handle convergence success
"""
if group_state.status == ScalingGroupStatus.DELETING:
# servers have been deleted. Delete the group for real
yield Effect(DeleteGroup(tenant_id=scaling_group.tenant_id,
group_id=scaling_group.uuid))
yield do_return(ConvergenceIterationStatus.GroupDeleted())
elif group_state.status == ScalingGroupStatus.ERROR:
yield Effect(UpdateGroupStatus(scaling_group=scaling_group,
status=ScalingGroupStatus.ACTIVE))
yield cf_msg('group-status-active',
status=ScalingGroupStatus.ACTIVE.name)
# update servers cache with latest servers.
# See [Convergence servers cache] comment on top of the file.
now = yield Effect(Func(datetime.utcnow))
yield executor.update_cache(scaling_group, now, include_deleted=False,
**resources)
yield do_return(ConvergenceIterationStatus.Stop())
def group_steps(group):
"""
Return Effect of list of steps that would be performed on the group
if convergence is triggered on it with desired=actual. Also returns
current delta of desired and actual
"""
now_dt = yield Effect(Func(datetime.utcnow))
all_data_eff = convergence_exec_data(
group["tenantId"], group["groupId"], now_dt, get_executor)
try:
all_data = yield Effect(TenantScope(all_data_eff, group["tenantId"]))
except Exception as e:
yield do_return((e, 0))
(executor, scaling_group, group_state, desired_group_state,
resources) = all_data
delta = desired_group_state.capacity - len(resources['servers'])
desired_group_state.capacity = len(resources['servers'])
steps = executor.plan(desired_group_state, datetime_to_epoch(now_dt),
3600, {}, **resources)
yield do_return((steps, delta))
def perform_get_children_with_stats(kz_client, dispatcher, intent):
"""
Perform :obj:`GetChildrenWithStats`. Must be partialed with ``kz_client``.
:param kz_client: txKazoo client
:param dispatcher: dispatcher, supplied by perform
:param GetChildrenWithStats intent: the intent
"""
path = intent.path
children = yield Effect(GetChildren(path))
stats = yield parallel(Effect(GetStat(path + "/" + p)) for p in children)
yield do_return([c_and_s for c_and_s in zip(children, stats) if c_and_s[1] is not None])
def get_recently_converged_groups(recently_converged, interval):
"""
Return a list of recently converged groups, and garbage-collect any groups
in the recently_converged map that are no longer 'recent'.
"""
# STM would be cool but this is synchronous so whatever
recent = yield recently_converged.read()
now = yield Effect(Func(time.time))
to_remove = [group for group in recent if now - recent[group] > interval]
cleaned = reduce(lambda m, g: m.remove(g), to_remove, recent)
if recent != cleaned:
yield recently_converged.modify(lambda _: cleaned)
yield do_return(cleaned.keys())
def get_todays_scaling_groups(convergence_tids, fname):
"""
Get scaling groups that from tenants that are enabled till today
"""
groups = yield Effect(GetAllGroups())
non_conv_tenants = set(groups.keys()) - set(convergence_tids)
last_tenants_len, last_date = yield get_last_info(fname)
now = yield Effect(Func(datetime.utcnow))
tenants, last_tenants_len, last_date = get_todays_tenants(
non_conv_tenants, now, last_tenants_len, last_date)
yield update_last_info(fname, last_tenants_len, last_date)
yield do_return(
keyfilter(lambda t: t in set(tenants + convergence_tids), groups))
def get_recently_converged_groups(recently_converged, interval):
"""
Return a list of recently converged groups, and garbage-collect any groups
in the recently_converged map that are no longer 'recent'.
"""
# STM would be cool but this is synchronous so whatever
recent = yield recently_converged.read()
now = yield Effect(Func(time.time))
to_remove = [group for group in recent if now - recent[group] > interval]
cleaned = reduce(lambda m, g: m.remove(g), to_remove, recent)
if recent != cleaned:
yield recently_converged.modify(lambda _: cleaned)
yield do_return(cleaned.keys())
def perform_get_children_with_stats(kz_client, dispatcher, intent):
"""
Perform :obj:`GetChildrenWithStats`. Must be partialed with ``kz_client``.
:param kz_client: txKazoo client
:param dispatcher: dispatcher, supplied by perform
:param GetChildrenWithStats intent: the intent
"""
path = intent.path
children = yield Effect(GetChildren(path))
stats = yield parallel(Effect(GetStat(path + '/' + p)) for p in children)
yield do_return([
c_and_s for c_and_s in zip(children, stats) if c_and_s[1] is not None
])
def read_entries(service_type,
url,
params,
direction,
follow_limit=100,
log_msg_type=None):
"""
Read all feed entries and follow in given direction until it is empty
:param service_type: Service hosting the feed
:type service_type: A member of :class:`ServiceType`
:param str url: CF URL to append
:param dict params: HTTP parameters
:param direction: Where to continue fetching?
:type direction: A member of :class:`Direction`
:param int follow_limit: Maximum number of times to follow in given
direction
:return: (``list`` of :obj:`Element`, last fetched params) tuple
"""
if direction == Direction.PREVIOUS:
direction_link = atom.previous_link
elif direction == Direction.NEXT:
direction_link = atom.next_link
else:
raise ValueError("Invalid direction")
if log_msg_type is not None:
log_cb = log_success_response(log_msg_type, identity, False)
else:
log_cb = identity
all_entries = []
while follow_limit > 0:
resp, feed_str = yield service_request(service_type,
"GET",
url,
params=params,
json_response=False).on(log_cb)
feed = atom.parse(feed_str)
entries = atom.entries(feed)
if entries == []:
break
all_entries.extend(entries)
link = direction_link(feed)
if link is None:
break
params = parse_qs(urlparse(link).query)
follow_limit -= 1
yield do_return((all_entries, params))
def convergence_failed(scaling_group, reasons):
"""
Handle convergence failure
"""
yield Effect(UpdateGroupStatus(scaling_group=scaling_group,
status=ScalingGroupStatus.ERROR))
presented_reasons = sorted(present_reasons(reasons))
if len(presented_reasons) == 0:
presented_reasons = [u"Unknown error occurred"]
yield cf_err(
'group-status-error', status=ScalingGroupStatus.ERROR.name,
reasons=presented_reasons)
yield Effect(UpdateGroupErrorReasons(scaling_group, presented_reasons))
yield do_return(ConvergenceIterationStatus.Stop())
def get_clb_contents():
"""Get Rackspace Cloud Load Balancer contents as list of `CLBNode`."""
# If we get a CLBNotFoundError while fetching feeds, we should throw away
# all nodes related to that load balancer, because we don't want to act on
# data that we know is invalid/outdated (for example, if we can't fetch a
# feed because CLB was deleted, we don't want to say that we have a node in
# DRAINING with draining time of 0; we should just say that the node is
# gone).
def gone(r):
return catch(CLBNotFoundError, lambda exc: r)
lb_ids = [lb['id'] for lb in (yield _retry(get_clbs()))]
node_reqs = [
_retry(get_clb_nodes(lb_id).on(error=gone([]))) for lb_id in lb_ids
]
all_nodes = yield parallel(node_reqs)
lb_nodes = {
lb_id: [CLBNode.from_node_json(lb_id, node) for node in nodes]
for lb_id, nodes in zip(lb_ids, all_nodes)
}
draining = [
n for n in concat(lb_nodes.values())
if n.description.condition == CLBNodeCondition.DRAINING
]
feeds = yield parallel([
_retry(
get_clb_node_feed(n.description.lb_id,
n.node_id).on(error=gone(None)))
for n in draining
])
nodes_to_feeds = dict(zip(draining, feeds))
deleted_lbs = set([
node.description.lb_id for (node, feed) in nodes_to_feeds.items()
if feed is None
])
def update_drained_at(node):
feed = nodes_to_feeds.get(node)
if node.description.lb_id in deleted_lbs:
return None
if feed is not None:
return assoc_obj(node, drained_at=extract_CLB_drained_at(feed))
else:
return node
nodes = map(update_drained_at, concat(lb_nodes.values()))
yield do_return(list(filter(bool, nodes)))
def call_if_acquired(lock, eff):
"""
Call ``eff`` if ``lock`` is acquired. If not, try to acquire the lock
and call ``eff``. This function is different from
:func:`otter.util.deferredutils.with_lock` where this does not release
the lock after calling ``func``. Also it expects that lock may already be
acquired.
:param lock: Lock object from :obj:`TxKazooClient`
:param eff: ``Effect`` to call if lock is/was acquired
:return: (eff return, lock acquired bool) tuple. first element may be
``NOT_CALLED`` of eff was not called
:rtype: ``Effect`` of ``bool``
"""
if (yield lock.is_acquired_eff()):
ret = yield eff
yield do_return((ret, False))
else:
if (yield lock.acquire_eff(False, None)):
ret = yield eff
yield do_return((ret, True))
else:
yield do_return((NOT_CALLED, False))
def group_steps(group):
"""
Return Effect of list of steps that would be performed on the group
if convergence is triggered on it with desired=actual
"""
now_dt = yield Effect(Func(datetime.utcnow))
all_data_eff = convergence_exec_data(group["tenantId"], group["groupId"],
now_dt, get_executor)
all_data = yield Effect(TenantScope(all_data_eff, group["tenantId"]))
(executor, scaling_group, group_state, desired_group_state,
resources) = all_data
desired_group_state.desired = len(resources['servers'])
steps = executor.plan(desired_group_state, datetime_to_epoch(now_dt), 3600,
**resources)
yield do_return(steps)
def group_steps(group):
"""
Return Effect of list of steps that would be performed on the group
if convergence is triggered on it with desired=actual
"""
now_dt = yield Effect(Func(datetime.utcnow))
all_data_eff = convergence_exec_data(
group["tenantId"], group["groupId"], now_dt, get_executor)
all_data = yield Effect(TenantScope(all_data_eff, group["tenantId"]))
(executor, scaling_group, group_state, desired_group_state,
resources) = all_data
desired_group_state.desired = len(resources['servers'])
steps = executor.plan(desired_group_state, datetime_to_epoch(now_dt),
3600, **resources)
yield do_return(steps)
def call_if_acquired(lock, eff):
"""
Call ``eff`` if ``lock`` is acquired. If not, try to acquire the lock
and call ``eff``. This function is different from
:func:`otter.util.deferredutils.with_lock` where this does not release
the lock after calling ``func``. Also it expects that lock may already be
acquired.
:param lock: Lock object from :obj:`TxKazooClient`
:param eff: ``Effect`` to call if lock is/was acquired
:return: (eff return, lock acquired bool) tuple. first element may be
``NOT_CALLED`` of eff was not called
:rtype: ``Effect`` of ``bool``
"""
if (yield lock.is_acquired_eff()):
ret = yield eff
yield do_return((ret, False))
else:
if (yield lock.acquire_eff(False, None)):
ret = yield eff
yield do_return((ret, True))
else:
yield do_return((NOT_CALLED, False))
def converge(tenant_id, group_id, dirty_flag):
stat = yield Effect(GetStat(dirty_flag))
# If the node disappeared, ignore it. `stat` will be None here if the
# divergent flag was discovered only after the group is removed from
# currently_converging, but before the divergent flag is deleted, and
# then the deletion happens, and then our GetStat happens. This
# basically means it happens when one convergence is starting as
# another one for the same group is ending.
if stat is None:
yield msg('converge-divergent-flag-disappeared', znode=dirty_flag)
else:
eff = converge_one_group(currently_converging, recently_converged,
waiting, tenant_id, group_id,
stat.version, build_timeout,
limited_retry_iterations, step_limits)
result = yield Effect(TenantScope(eff, tenant_id))
yield do_return(result)
def converge(tenant_id, group_id, dirty_flag):
stat = yield Effect(GetStat(dirty_flag))
# If the node disappeared, ignore it. `stat` will be None here if the
# divergent flag was discovered only after the group is removed from
# currently_converging, but before the divergent flag is deleted, and
# then the deletion happens, and then our GetStat happens. This
# basically means it happens when one convergence is starting as
# another one for the same group is ending.
if stat is None:
yield msg('converge-divergent-flag-disappeared', znode=dirty_flag)
else:
eff = converge_one_group(currently_converging, recently_converged,
waiting,
tenant_id, group_id,
stat.version, build_timeout,
limited_retry_iterations, step_limits)
result = yield Effect(TenantScope(eff, tenant_id))
yield do_return(result)
def read_entries(service_type, url, params, direction, follow_limit=100,
log_msg_type=None):
"""
Read all feed entries and follow in given direction until it is empty
:param service_type: Service hosting the feed
:type service_type: A member of :class:`ServiceType`
:param str url: CF URL to append
:param dict params: HTTP parameters
:param direction: Where to continue fetching?
:type direction: A member of :class:`Direction`
:param int follow_limit: Maximum number of times to follow in given
direction
:return: (``list`` of :obj:`Element`, last fetched params) tuple
"""
if direction == Direction.PREVIOUS:
direction_link = atom.previous_link
elif direction == Direction.NEXT:
direction_link = atom.next_link
else:
raise ValueError("Invalid direction")
if log_msg_type is not None:
log_cb = log_success_response(log_msg_type, identity, False)
else:
log_cb = identity
all_entries = []
while follow_limit > 0:
resp, feed_str = yield service_request(
service_type, "GET", url, params=params,
json_response=False).on(log_cb)
feed = atom.parse(feed_str)
entries = atom.entries(feed)
if entries == []:
break
all_entries.extend(entries)
link = direction_link(feed)
if link is None:
break
params = parse_qs(urlparse(link).query)
follow_limit -= 1
yield do_return((all_entries, params))
def convergence_failed(scaling_group, reasons, timedout=False):
"""
Handle convergence failure
"""
yield Effect(
UpdateGroupStatus(scaling_group=scaling_group,
status=ScalingGroupStatus.ERROR))
presented_reasons = sorted(present_reasons(reasons))
if len(presented_reasons) == 0:
presented_reasons = [u"Unknown error occurred"]
elif timedout:
presented_reasons = [
"Timed out: {}".format(reason) for reason in presented_reasons
]
yield cf_err('group-status-error',
status=ScalingGroupStatus.ERROR.name,
reasons=presented_reasons)
yield Effect(UpdateGroupErrorReasons(scaling_group, presented_reasons))
yield do_return(ConvergenceIterationStatus.Stop())
def non_concurrently(locks, key, eff):
"""
Run some Effect non-concurrently.
:param Reference locks: A reference to a PSet that will be used to record
which operations are currently being executed.
:param key: the key to use for this particular operation, which will be
stored in ``locks``
:param Effect eff: the effect to execute.
:return: Effect with the result of ``eff``, or an error of
:obj:`ConcurrentError` if the given key already has an associated
effect being performed.
"""
if key in (yield locks.read()):
raise ConcurrentError(key)
yield locks.modify(lambda cc: cc.add(key))
try:
result = yield eff
finally:
yield locks.modify(lambda cc: cc.remove(key))
yield do_return(result)
def get_clb_contents():
"""Get Rackspace Cloud Load Balancer contents as list of `CLBNode`."""
# If we get a CLBNotFoundError while fetching feeds, we should throw away
# all nodes related to that load balancer, because we don't want to act on
# data that we know is invalid/outdated (for example, if we can't fetch a
# feed because CLB was deleted, we don't want to say that we have a node in
# DRAINING with draining time of 0; we should just say that the node is
# gone).
def gone(r):
return catch(CLBNotFoundError, lambda exc: r)
lb_ids = [lb['id'] for lb in (yield _retry(get_clbs()))]
node_reqs = [_retry(get_clb_nodes(lb_id).on(error=gone([])))
for lb_id in lb_ids]
all_nodes = yield parallel(node_reqs)
lb_nodes = {lb_id: [CLBNode.from_node_json(lb_id, node) for node in nodes]
for lb_id, nodes in zip(lb_ids, all_nodes)}
draining = [n for n in concat(lb_nodes.values())
if n.description.condition == CLBNodeCondition.DRAINING]
feeds = yield parallel(
[_retry(get_clb_node_feed(n.description.lb_id, n.node_id).on(
error=gone(None)))
for n in draining]
)
nodes_to_feeds = dict(zip(draining, feeds))
deleted_lbs = set([
node.description.lb_id
for (node, feed) in nodes_to_feeds.items() if feed is None])
def update_drained_at(node):
feed = nodes_to_feeds.get(node)
if node.description.lb_id in deleted_lbs:
return None
if feed is not None:
return assoc_obj(node, drained_at=extract_CLB_drained_at(feed))
else:
return node
nodes = map(update_drained_at, concat(lb_nodes.values()))
yield do_return(list(filter(bool, nodes)))
def non_concurrently(locks, key, eff):
"""
Run some Effect non-concurrently.
:param Reference locks: A reference to a PSet that will be used to record
which operations are currently being executed.
:param key: the key to use for this particular operation, which will be
stored in ``locks``
:param Effect eff: the effect to execute.
:return: Effect with the result of ``eff``, or an error of
:obj:`ConcurrentError` if the given key already has an associated
effect being performed.
"""
if key in (yield locks.read()):
raise ConcurrentError(key)
yield locks.modify(lambda cc: cc.add(key))
try:
result = yield eff
finally:
yield locks.modify(lambda cc: cc.remove(key))
yield do_return(result)
def get_scaling_group_servers(tenant_id, group_id, now,
all_as_servers=get_all_scaling_group_servers,
all_servers=get_all_server_details,
cache_class=CassScalingGroupServersCache):
"""
Get a group's servers taken from cache if it exists. Updates cache
if it is empty from newly fetched servers
# NOTE: This function takes tenant_id even though the whole effect is
# scoped on the tenant because cache calls require tenant_id. Should
# they also not take tenant_id and work on the scope?
:return: Servers as list of dicts
:rtype: Effect
"""
cache = cache_class(tenant_id, group_id)
cached_servers, last_update = yield cache.get_servers(False)
if last_update is None:
servers = (yield all_as_servers()).get(group_id, [])
else:
current = yield all_servers()
servers = mark_deleted_servers(cached_servers, current)
servers = list(filter(server_of_group(group_id), servers))
yield do_return(servers)
def get_clb_node_feed(lb_id, node_id):
"""
Get the atom feed associated with a CLB node.
:param int lb_id: Cloud Load balancer ID
:param int node_id: Node ID of in loadbalancer node
:returns: Effect of ``list`` of atom entry :class:`Element`
:rtype: ``Effect``
"""
all_entries = []
params = {}
while True:
feed_str = yield _node_feed_page(lb_id, node_id, params)
feed = atom.parse(feed_str)
entries = atom.entries(feed)
if entries == []:
break
all_entries.extend(entries)
next_link = atom.next_link(feed)
if not next_link:
break
params = parse_qs(urlparse(next_link).query)
yield do_return(all_entries)
def execute_convergence(tenant_id, group_id, build_timeout, waiting,
limited_retry_iterations, step_limits,
get_executor=get_executor):
"""
Gather data, plan a convergence, save active and pending servers to the
group state, and then execute the convergence.
:param str tenant_id: the tenant ID for the group to converge
:param str group_id: the ID of the group to be converged
:param number build_timeout: number of seconds to wait for servers to be in
building before it's is timed out and deleted
:param Reference waiting: pmap of waiting groups
:param int limited_retry_iterations: number of iterations to wait for
LIMITED_RETRY steps
:param dict step_limits: Mapping of step class to number of executions
allowed in a convergence cycle
:param callable get_executor: like :func`get_executor`, used for testing.
:return: Effect of :obj:`ConvergenceIterationStatus`.
:raise: :obj:`NoSuchScalingGroupError` if the group doesn't exist.
"""
clean_waiting = _clean_waiting(waiting, group_id)
# Begin convergence by updating group status to ACTIVE
yield msg("begin-convergence")
try:
yield Effect(LoadAndUpdateGroupStatus(tenant_id, group_id,
ScalingGroupStatus.ACTIVE))
except NoSuchScalingGroupError:
# Expected for DELETING group. Ignore.
pass
# Gather data
now_dt = yield Effect(Func(datetime.utcnow))
try:
all_data = yield msg_with_time(
"gather-convergence-data",
convergence_exec_data(tenant_id, group_id, now_dt,
get_executor=get_executor))
(executor, scaling_group, group_state, desired_group_state,
resources) = all_data
except FirstError as fe:
if fe.exc_info[0] is NoSuchEndpoint:
result = yield convergence_failed(
tenant_id, group_id, [ErrorReason.Exception(fe.exc_info)])
yield do_return(result)
raise fe
# prepare plan
steps = executor.plan(desired_group_state, datetime_to_epoch(now_dt),
build_timeout, step_limits, **resources)
yield log_steps(steps)
# Execute plan
yield msg('execute-convergence',
steps=steps, now=now_dt, desired=desired_group_state,
**resources)
worst_status, reasons = yield _execute_steps(steps)
if worst_status != StepResult.LIMITED_RETRY:
# If we're not waiting any more, there's no point in keeping track of
# the group
yield clean_waiting
# Handle the status from execution
if worst_status == StepResult.SUCCESS:
result = yield convergence_succeeded(
executor, scaling_group, group_state, resources)
elif worst_status == StepResult.FAILURE:
result = yield convergence_failed(tenant_id, group_id, reasons)
elif worst_status is StepResult.LIMITED_RETRY:
# We allow further iterations to proceed as long as we haven't been
# waiting for a LIMITED_RETRY for N consecutive iterations.
current_iterations = (yield waiting.read()).get(group_id, 0)
if current_iterations > limited_retry_iterations:
yield msg('converge-limited-retry-too-long')
yield clean_waiting
# Prefix "Timed out" to all limited retry reasons
result = yield convergence_failed(tenant_id, group_id, reasons,
True)
else:
yield waiting.modify(
lambda group_iterations:
group_iterations.set(group_id, current_iterations + 1))
result = ConvergenceIterationStatus.Continue()
else:
result = ConvergenceIterationStatus.Continue()
yield do_return(result)
def challenge():
line = None
while line != 'To seek the Holy Grail.\n':
yield Effect(Print('What... is your quest?'))
line = yield Effect(Readline())
yield do_return(line)
def increment(request):
num = int(request.form['number'])
yield Effect(Func(increment_counter, num))
yield do_return(redirect(url_for('root')))
def converge_all_groups(currently_converging,
recently_converged,
waiting,
my_buckets,
all_buckets,
divergent_flags,
build_timeout,
interval,
limited_retry_iterations,
step_limits,
converge_one_group=converge_one_group):
"""
Check for groups that need convergence and which match up to the
buckets we've been allocated.
:param Reference currently_converging: pset of currently converging groups
:param Reference recently_converged: pmap of group ID to time last
convergence finished
:param Reference waiting: pmap of group ID to number of iterations already
waited
:param my_buckets: The buckets that should be checked for group IDs to
converge on.
:param all_buckets: The set of all buckets that can be checked for group
IDs to converge on. ``my_buckets`` should be a subset of this.
:param divergent_flags: divergent flags that were found in zookeeper.
:param number build_timeout: number of seconds to wait for servers to be in
building before it's is timed out and deleted
:param number interval: number of seconds between attempts at convergence.
Groups will not be converged if less than this amount of time has
passed since the end of its last convergence.
:param int limited_retry_iterations: number of iterations to wait for
LIMITED_RETRY steps
:param dict step_limits: Mapping of step class to number of executions
allowed in a convergence cycle
:param callable converge_one_group: function to use to converge a single
group - to be used for test injection only
"""
group_infos = get_my_divergent_groups(my_buckets, all_buckets,
divergent_flags)
# filter out currently converging groups
cc = yield currently_converging.read()
group_infos = [info for info in group_infos if info['group_id'] not in cc]
if not group_infos:
return
yield msg('converge-all-groups',
group_infos=group_infos,
currently_converging=list(cc))
@do
def converge(tenant_id, group_id, dirty_flag):
stat = yield Effect(GetStat(dirty_flag))
# If the node disappeared, ignore it. `stat` will be None here if the
# divergent flag was discovered only after the group is removed from
# currently_converging, but before the divergent flag is deleted, and
# then the deletion happens, and then our GetStat happens. This
# basically means it happens when one convergence is starting as
# another one for the same group is ending.
if stat is None:
yield msg('converge-divergent-flag-disappeared', znode=dirty_flag)
else:
eff = converge_one_group(currently_converging, recently_converged,
waiting, tenant_id, group_id,
stat.version, build_timeout,
limited_retry_iterations, step_limits)
result = yield Effect(TenantScope(eff, tenant_id))
yield do_return(result)
recent_groups = yield get_recently_converged_groups(
recently_converged, interval)
effs = []
for info in group_infos:
tenant_id, group_id = info['tenant_id'], info['group_id']
if group_id in recent_groups:
# Don't converge a group if it has recently been converged.
continue
eff = converge(tenant_id, group_id, info['dirty-flag'])
effs.append(
with_log(eff, tenant_id=tenant_id, scaling_group_id=group_id))
yield do_return(parallel(effs))
def root(request):
counter = yield Effect(Func(get_counter))
yield do_return(render_template('counter.html', counter=counter))
def execute_convergence(tenant_id,
group_id,
build_timeout,
waiting,
limited_retry_iterations,
step_limits,
get_executor=get_executor):
"""
Gather data, plan a convergence, save active and pending servers to the
group state, and then execute the convergence.
:param str tenant_id: the tenant ID for the group to converge
:param str group_id: the ID of the group to be converged
:param number build_timeout: number of seconds to wait for servers to be in
building before it's is timed out and deleted
:param Reference waiting: pmap of waiting groups
:param int limited_retry_iterations: number of iterations to wait for
LIMITED_RETRY steps
:param dict step_limits: Mapping of step class to number of executions
allowed in a convergence cycle
:param callable get_executor: like :func`get_executor`, used for testing.
:return: Effect of :obj:`ConvergenceIterationStatus`.
:raise: :obj:`NoSuchScalingGroupError` if the group doesn't exist.
"""
clean_waiting = _clean_waiting(waiting, group_id)
# Gather data
yield msg("begin-convergence")
now_dt = yield Effect(Func(datetime.utcnow))
all_data = yield msg_with_time(
"gather-convergence-data",
convergence_exec_data(tenant_id,
group_id,
now_dt,
get_executor=get_executor))
(executor, scaling_group, group_state, desired_group_state,
resources) = all_data
# prepare plan
steps = executor.plan(desired_group_state, datetime_to_epoch(now_dt),
build_timeout, step_limits, **resources)
yield log_steps(steps)
# Execute plan
yield msg('execute-convergence',
steps=steps,
now=now_dt,
desired=desired_group_state,
**resources)
worst_status, reasons = yield _execute_steps(steps)
if worst_status != StepResult.LIMITED_RETRY:
# If we're not waiting any more, there's no point in keeping track of
# the group
yield clean_waiting
# Handle the status from execution
if worst_status == StepResult.SUCCESS:
result = yield convergence_succeeded(executor, scaling_group,
group_state, resources, now_dt)
elif worst_status == StepResult.FAILURE:
result = yield convergence_failed(scaling_group, reasons)
elif worst_status is StepResult.LIMITED_RETRY:
# We allow further iterations to proceed as long as we haven't been
# waiting for a LIMITED_RETRY for N consecutive iterations.
current_iterations = (yield waiting.read()).get(group_id, 0)
if current_iterations > limited_retry_iterations:
yield msg('converge-limited-retry-too-long')
yield clean_waiting
# Prefix "Timed out" to all limited retry reasons
result = yield convergence_failed(scaling_group, reasons, True)
else:
yield waiting.modify(lambda group_iterations: group_iterations.set(
group_id, current_iterations + 1))
result = ConvergenceIterationStatus.Continue()
else:
result = ConvergenceIterationStatus.Continue()
yield do_return(result)
def execute_convergence(tenant_id, group_id, build_timeout, waiting,
limited_retry_iterations, get_executor=get_executor):
"""
Gather data, plan a convergence, save active and pending servers to the
group state, and then execute the convergence.
:param str tenant_id: the tenant ID for the group to converge
:param str group_id: the ID of the group to be converged
:param number build_timeout: number of seconds to wait for servers to be in
building before it's is timed out and deleted
:param Reference waiting: pmap of waiting groups
:param int limited_retry_iterations: number of iterations to wait for
LIMITED_RETRY steps
:param callable get_all_convergence_data: like
:func`get_all_convergence_data`, used for testing.
:param callable plan: like :func:`plan`, to be used for test injection only
:return: Effect of :obj:`ConvergenceIterationStatus`.
:raise: :obj:`NoSuchScalingGroupError` if the group doesn't exist.
"""
clean_waiting = _clean_waiting(waiting, group_id)
# Gather data
yield msg("begin-convergence")
now_dt = yield Effect(Func(datetime.utcnow))
all_data = yield msg_with_time(
"gather-convergence-data",
convergence_exec_data(tenant_id, group_id, now_dt,
get_executor=get_executor))
(executor, scaling_group, group_state, desired_group_state,
resources) = all_data
# prepare plan
steps = executor.plan(desired_group_state, datetime_to_epoch(now_dt),
build_timeout, **resources)
yield log_steps(steps)
# Execute plan
yield msg('execute-convergence',
steps=steps, now=now_dt, desired=desired_group_state,
**resources)
worst_status, reasons = yield _execute_steps(steps)
if worst_status != StepResult.LIMITED_RETRY:
# If we're not waiting any more, there's no point in keeping track of
# the group
yield clean_waiting
# Handle the status from execution
if worst_status == StepResult.SUCCESS:
result = yield convergence_succeeded(
executor, scaling_group, group_state, resources, now_dt)
elif worst_status == StepResult.FAILURE:
result = yield convergence_failed(scaling_group, reasons)
elif worst_status is StepResult.LIMITED_RETRY:
# We allow further iterations to proceed as long as we haven't been
# waiting for a LIMITED_RETRY for N consecutive iterations.
current_iterations = (yield waiting.read()).get(group_id, 0)
if current_iterations > limited_retry_iterations:
yield msg('converge-limited-retry-too-long')
yield clean_waiting
result = yield convergence_failed(scaling_group, reasons)
else:
yield waiting.modify(
lambda group_iterations:
group_iterations.set(group_id, current_iterations + 1))
result = ConvergenceIterationStatus.Continue()
else:
result = ConvergenceIterationStatus.Continue()
yield do_return(result)
def get_clb_contents():
"""
Get Rackspace Cloud Load Balancer contents as list of `CLBNode`. CLB
health monitor information is also returned as a pmap of :obj:`CLB` objects
mapped on LB ID.
:return: Effect of (``list`` of :obj:`CLBNode`, `pmap` of :obj:`CLB`)
:rtype: :obj:`Effect`
"""
# If we get a CLBNotFoundError while fetching feeds, we should throw away
# all nodes related to that load balancer, because we don't want to act on
# data that we know is invalid/outdated (for example, if we can't fetch a
# feed because CLB was deleted, we don't want to say that we have a node in
# DRAINING with draining time of 0; we should just say that the node is
# gone).
def gone(r):
return catch(CLBNotFoundError, lambda exc: r)
lb_ids = [lb['id'] for lb in (yield _retry(get_clbs()))]
node_reqs = [
_retry(get_clb_nodes(lb_id).on(error=gone([]))) for lb_id in lb_ids
]
healthmon_reqs = [
_retry(get_clb_health_monitor(lb_id).on(error=gone(None)))
for lb_id in lb_ids
]
all_nodes_hms = yield parallel(node_reqs + healthmon_reqs)
all_nodes, hms = all_nodes_hms[:len(lb_ids)], all_nodes_hms[len(lb_ids):]
lb_nodes = {
lb_id: [CLBNode.from_node_json(lb_id, node) for node in nodes]
for lb_id, nodes in zip(lb_ids, all_nodes)
}
clbs = {
str(lb_id): CLB(bool(health_mon))
for lb_id, health_mon in zip(lb_ids, hms) if health_mon is not None
}
draining = [
n for n in concat(lb_nodes.values())
if n.description.condition == CLBNodeCondition.DRAINING
]
feeds = yield parallel([
_retry(
get_clb_node_feed(n.description.lb_id,
n.node_id).on(error=gone(None)))
for n in draining
])
nodes_to_feeds = dict(zip(draining, feeds))
deleted_lbs = set([
node.description.lb_id for (node, feed) in nodes_to_feeds.items()
if feed is None
])
def update_drained_at(node):
feed = nodes_to_feeds.get(node)
if node.description.lb_id in deleted_lbs:
return None
if feed is not None:
node.drained_at = extract_clb_drained_at(feed)
return node
nodes = map(update_drained_at, concat(lb_nodes.values()))
yield do_return((list(filter(bool, nodes)),
pmap(keyfilter(lambda k: k not in deleted_lbs, clbs))))
def converge_all_groups(
currently_converging, recently_converged, waiting,
my_buckets, all_buckets,
divergent_flags, build_timeout, interval,
limited_retry_iterations, step_limits,
converge_one_group=converge_one_group):
"""
Check for groups that need convergence and which match up to the
buckets we've been allocated.
:param Reference currently_converging: pset of currently converging groups
:param Reference recently_converged: pmap of group ID to time last
convergence finished
:param Reference waiting: pmap of group ID to number of iterations already
waited
:param my_buckets: The buckets that should be checked for group IDs to
converge on.
:param all_buckets: The set of all buckets that can be checked for group
IDs to converge on. ``my_buckets`` should be a subset of this.
:param divergent_flags: divergent flags that were found in zookeeper.
:param number build_timeout: number of seconds to wait for servers to be in
building before it's is timed out and deleted
:param number interval: number of seconds between attempts at convergence.
Groups will not be converged if less than this amount of time has
passed since the end of its last convergence.
:param int limited_retry_iterations: number of iterations to wait for
LIMITED_RETRY steps
:param dict step_limits: Mapping of step class to number of executions
allowed in a convergence cycle
:param callable converge_one_group: function to use to converge a single
group - to be used for test injection only
"""
group_infos = get_my_divergent_groups(
my_buckets, all_buckets, divergent_flags)
# filter out currently converging groups
cc = yield currently_converging.read()
group_infos = [info for info in group_infos if info['group_id'] not in cc]
if not group_infos:
return
yield msg('converge-all-groups', group_infos=group_infos,
currently_converging=list(cc))
@do
def converge(tenant_id, group_id, dirty_flag):
stat = yield Effect(GetStat(dirty_flag))
# If the node disappeared, ignore it. `stat` will be None here if the
# divergent flag was discovered only after the group is removed from
# currently_converging, but before the divergent flag is deleted, and
# then the deletion happens, and then our GetStat happens. This
# basically means it happens when one convergence is starting as
# another one for the same group is ending.
if stat is None:
yield msg('converge-divergent-flag-disappeared', znode=dirty_flag)
else:
eff = converge_one_group(currently_converging, recently_converged,
waiting,
tenant_id, group_id,
stat.version, build_timeout,
limited_retry_iterations, step_limits)
result = yield Effect(TenantScope(eff, tenant_id))
yield do_return(result)
recent_groups = yield get_recently_converged_groups(recently_converged,
interval)
effs = []
for info in group_infos:
tenant_id, group_id = info['tenant_id'], info['group_id']
if group_id in recent_groups:
# Don't converge a group if it has recently been converged.
continue
eff = converge(tenant_id, group_id, info['dirty-flag'])
effs.append(
with_log(eff, tenant_id=tenant_id, scaling_group_id=group_id))
yield do_return(parallel(effs))
