13ec6e8b2c
In py2 filter returns list, but in py3 it returns iterator. Change-Id: I71db21027bab11c8de715d39e71d0f6317a3f9e0 Partially-Implements: blueprint mistral-py3
173 lines
4.7 KiB
Python
173 lines
4.7 KiB
Python
# Copyright 2014 - Mirantis, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import six
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from mistral.db.v2 import api as db_api
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from mistral import exceptions as exc
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from mistral.workflow import states
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_CAPACITY = 'capacity'
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_CONCURRENCY = 'concurrency'
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_COUNT = 'count'
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_WITH_ITEMS = 'with_items_context'
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def _get_context(task_ex):
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return task_ex.runtime_context[_WITH_ITEMS]
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def get_count(task_ex):
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return _get_context(task_ex)[_COUNT]
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def is_completed(task_ex):
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action_exs = db_api.get_action_executions(
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task_execution_id=task_ex.id,
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accepted=True
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)
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count = get_count(task_ex) or 1
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return count == len(action_exs)
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def get_index(task_ex):
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return len(
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list(filter(
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lambda x: x.accepted or states.RUNNING, task_ex.executions
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))
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)
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def get_concurrency(task_ex):
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return task_ex.runtime_context.get(_CONCURRENCY)
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def get_final_state(task_ex):
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find_error = lambda x: x.accepted and x.state == states.ERROR
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if filter(find_error, task_ex.executions):
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return states.ERROR
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else:
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return states.SUCCESS
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def _get_indices_if_rerun(unaccepted_executions):
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"""Returns a list of indices in case of re-running with-items.
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:param unaccepted_executions: List of executions.
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:return: a list of numbers.
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"""
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return sorted(
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set([
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ex.runtime_context['with_items_index']
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for ex in unaccepted_executions
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])
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)
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def _get_unaccepted_act_exs(task_ex):
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# Choose only if not accepted but completed.
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return list(filter(
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lambda x: not x.accepted and states.is_completed(x.state),
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task_ex.executions
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))
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def get_indices_for_loop(task_ex):
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capacity = _get_context(task_ex)[_CAPACITY]
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count = get_count(task_ex)
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unaccepted = _get_unaccepted_act_exs(task_ex)
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if unaccepted:
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indices = _get_indices_if_rerun(unaccepted)
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if max(indices) < count - 1:
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indices += list(six.moves.range(max(indices) + 1, count))
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return indices[:capacity] if capacity else indices
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index = get_index(task_ex)
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number_to_execute = capacity if capacity else count - index
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return list(six.moves.range(index, index + number_to_execute))
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def decrease_capacity(task_ex, count):
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with_items_context = _get_context(task_ex)
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if with_items_context[_CAPACITY] >= count:
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with_items_context[_CAPACITY] -= count
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elif with_items_context[_CAPACITY]:
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raise exc.WorkflowException(
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"Impossible to apply current with-items concurrency."
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)
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task_ex.runtime_context.update({_WITH_ITEMS: with_items_context})
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def increase_capacity(task_ex):
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with_items_context = _get_context(task_ex)
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max_concurrency = get_concurrency(task_ex)
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if max_concurrency and with_items_context[_CAPACITY] < max_concurrency:
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with_items_context[_CAPACITY] += 1
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task_ex.runtime_context.update({_WITH_ITEMS: with_items_context})
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def prepare_runtime_context(task_ex, task_spec, input_dicts):
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runtime_context = task_ex.runtime_context
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with_items_spec = task_spec.get_with_items()
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if with_items_spec and not runtime_context.get(_WITH_ITEMS):
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# Prepare current indexes and parallel limitation.
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runtime_context[_WITH_ITEMS] = {
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_CAPACITY: get_concurrency(task_ex),
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_COUNT: len(input_dicts)
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}
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def validate_input(with_items_input):
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# Take only mapped values and check them.
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values = list(with_items_input.values())
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if not all([isinstance(v, list) for v in values]):
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raise exc.InputException(
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"Wrong input format for: %s. List type is"
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" expected for each value." % with_items_input
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)
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required_len = len(values[0])
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if not all(len(v) == required_len for v in values):
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raise exc.InputException(
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"Wrong input format for: %s. All arrays must"
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" have the same length." % with_items_input
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)
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def has_more_iterations(task_ex):
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# See action executions which have been already
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# accepted or are still running.
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action_exs = list(filter(
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lambda x: x.accepted or x.state == states.RUNNING,
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task_ex.executions
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))
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return get_count(task_ex) > len(action_exs)
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