Files
deb-python-taskflow/taskflow/flow.py
Ivan A. Melnikov 1011df951e Iteration over links in flow interface
In addition to iteration over its children (atoms or subflows) each
pattern now provides iter_links() method that iterates over
dependency links. This allows engines to treat all patterns
in the same way instead knowing what structure each pattern expresses.

Change-Id: I52cb5b0b501eefc8eb56a9ef5303aeb318013e11
2014-03-21 11:11:15 +04:00

104 lines
3.6 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
#
# 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 abc
import six
from taskflow.utils import reflection
@six.add_metaclass(abc.ABCMeta)
class Flow(object):
"""The base abstract class of all flow implementations.
A flow is a structure that defines relationships between tasks. You can
add tasks and other flows (as subflows) to the flow, and the flow provides
a way to implicitly or explicitly define how they are interdependent.
Exact structure of the relationships is defined by concrete
implementation, while this class defines common interface and adds
human-readable (not necessary unique) name.
NOTE(harlowja): if a flow is placed in another flow as a subflow, a desired
way to compose flows together, then it is valid and permissible that during
execution the subflow & parent flow may be flattened into a new flow. Since
a flow is just a 'structuring' concept this is typically a behavior that
should not be worried about (as it is not visible to the user), but it is
worth mentioning here.
"""
def __init__(self, name, retry=None):
self._name = six.text_type(name)
self._retry = retry
# If retry doesn't have a name,
# the name of its owner will be assigned
if self._retry:
self._retry_provides = self.retry.provides
self._retry_requires = self.retry.requires
if not self._retry.name:
self._retry.set_name(self.name + "_retry")
else:
self._retry_provides = set()
self._retry_requires = set()
@property
def name(self):
"""A non-unique name for this flow (human readable)."""
return self._name
@property
def retry(self):
"""A retry object that will affect control how (and if) this flow
retries while execution is underway.
"""
return self._retry
@abc.abstractmethod
def __len__(self):
"""Returns how many items are in this flow."""
@abc.abstractmethod
def __iter__(self):
"""Iterates over the children of the flow."""
@abc.abstractmethod
def iter_links(self):
"""Iterates over dependency links between children of the flow.
Iterates over 3-tuples ``(A, B, meta)``, where
* ``A`` is a child (atom or subflow) link starts from;
* ``B`` is a child (atom or subflow) link points to; it is
said that ``B`` depends on ``A`` or ``B`` requires ``A``;
* ``meta`` is link metadata, a dictionary.
"""
def __str__(self):
lines = ["%s: %s" % (reflection.get_class_name(self), self.name)]
lines.append("%s" % (len(self)))
return "; ".join(lines)
@abc.abstractmethod
def add(self, *items):
"""Adds a given item/items to this flow."""
@abc.abstractproperty
def requires(self):
"""Browse argument requirement names this flow requires to run."""
@abc.abstractproperty
def provides(self):
"""Browse argument names provided by the flow."""