Files
deb-python-taskflow/taskflow/flow.py
Joshua Harlow e68d72f66e Be smarter about required flow symbols
Instead of blindly assuming all the symbols that
are provided automatically work for all flows even
if the flow has ordering constraints we should set
the base flow class requires property to be abstract
and provide flow specific properties that can do the
appropriate analysis to determine what the flows
unsatisfied symbol requirements actually are.

Part of blueprint taskflow-improved-scoping

Change-Id: Ie149c05b3305c5bfff9d9f2c05e7e064c3a6d0c7
2014-09-08 19:14:51 +00:00

104 lines
3.5 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
compilation the subflow & parent flow *may* be flattened into a new flow.
"""
def __init__(self, name, retry=None):
self._name = six.text_type(name)
self._retry = retry
# NOTE(akarpinska): if retry doesn't have a name,
# the name of its owner will be assigned
if self._retry is not None and self._retry.name is None:
self._retry.name = self.name + "_retry"
@property
def name(self):
"""A non-unique name for this flow (human readable)."""
return self._name
@property
def retry(self):
"""The associated flow retry controller.
This retry controller object will affect & control how (and if) this
flow and its contained components retry when execution is underway and
a failure occurs.
"""
return self._retry
@abc.abstractmethod
def add(self, *items):
"""Adds a given item/items to this flow."""
@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)
@property
def provides(self):
"""Set of symbol names provided by the flow."""
provides = set()
if self._retry is not None:
provides.update(self._retry.provides)
for item in self:
provides.update(item.provides)
return frozenset(provides)
@abc.abstractproperty
def requires(self):
"""Set of *unsatisfied* symbol names required by the flow."""