deb-mistral/mistral/workflow/with_items.py
hparekh 13ec6e8b2c filter() is wrapped around list().
In py2 filter returns list, but in py3
it returns iterator.

Change-Id: I71db21027bab11c8de715d39e71d0f6317a3f9e0
Partially-Implements: blueprint mistral-py3
2015-10-19 09:26:33 +05:30

173 lines
4.7 KiB
Python

# Copyright 2014 - Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import six
from mistral.db.v2 import api as db_api
from mistral import exceptions as exc
from mistral.workflow import states
_CAPACITY = 'capacity'
_CONCURRENCY = 'concurrency'
_COUNT = 'count'
_WITH_ITEMS = 'with_items_context'
def _get_context(task_ex):
return task_ex.runtime_context[_WITH_ITEMS]
def get_count(task_ex):
return _get_context(task_ex)[_COUNT]
def is_completed(task_ex):
action_exs = db_api.get_action_executions(
task_execution_id=task_ex.id,
accepted=True
)
count = get_count(task_ex) or 1
return count == len(action_exs)
def get_index(task_ex):
return len(
list(filter(
lambda x: x.accepted or states.RUNNING, task_ex.executions
))
)
def get_concurrency(task_ex):
return task_ex.runtime_context.get(_CONCURRENCY)
def get_final_state(task_ex):
find_error = lambda x: x.accepted and x.state == states.ERROR
if filter(find_error, task_ex.executions):
return states.ERROR
else:
return states.SUCCESS
def _get_indices_if_rerun(unaccepted_executions):
"""Returns a list of indices in case of re-running with-items.
:param unaccepted_executions: List of executions.
:return: a list of numbers.
"""
return sorted(
set([
ex.runtime_context['with_items_index']
for ex in unaccepted_executions
])
)
def _get_unaccepted_act_exs(task_ex):
# Choose only if not accepted but completed.
return list(filter(
lambda x: not x.accepted and states.is_completed(x.state),
task_ex.executions
))
def get_indices_for_loop(task_ex):
capacity = _get_context(task_ex)[_CAPACITY]
count = get_count(task_ex)
unaccepted = _get_unaccepted_act_exs(task_ex)
if unaccepted:
indices = _get_indices_if_rerun(unaccepted)
if max(indices) < count - 1:
indices += list(six.moves.range(max(indices) + 1, count))
return indices[:capacity] if capacity else indices
index = get_index(task_ex)
number_to_execute = capacity if capacity else count - index
return list(six.moves.range(index, index + number_to_execute))
def decrease_capacity(task_ex, count):
with_items_context = _get_context(task_ex)
if with_items_context[_CAPACITY] >= count:
with_items_context[_CAPACITY] -= count
elif with_items_context[_CAPACITY]:
raise exc.WorkflowException(
"Impossible to apply current with-items concurrency."
)
task_ex.runtime_context.update({_WITH_ITEMS: with_items_context})
def increase_capacity(task_ex):
with_items_context = _get_context(task_ex)
max_concurrency = get_concurrency(task_ex)
if max_concurrency and with_items_context[_CAPACITY] < max_concurrency:
with_items_context[_CAPACITY] += 1
task_ex.runtime_context.update({_WITH_ITEMS: with_items_context})
def prepare_runtime_context(task_ex, task_spec, input_dicts):
runtime_context = task_ex.runtime_context
with_items_spec = task_spec.get_with_items()
if with_items_spec and not runtime_context.get(_WITH_ITEMS):
# Prepare current indexes and parallel limitation.
runtime_context[_WITH_ITEMS] = {
_CAPACITY: get_concurrency(task_ex),
_COUNT: len(input_dicts)
}
def validate_input(with_items_input):
# Take only mapped values and check them.
values = list(with_items_input.values())
if not all([isinstance(v, list) for v in values]):
raise exc.InputException(
"Wrong input format for: %s. List type is"
" expected for each value." % with_items_input
)
required_len = len(values[0])
if not all(len(v) == required_len for v in values):
raise exc.InputException(
"Wrong input format for: %s. All arrays must"
" have the same length." % with_items_input
)
def has_more_iterations(task_ex):
# See action executions which have been already
# accepted or are still running.
action_exs = list(filter(
lambda x: x.accepted or x.state == states.RUNNING,
task_ex.executions
))
return get_count(task_ex) > len(action_exs)