gecko-dev/taskcluster/taskgraph/task.py

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3.0 KiB
Python

# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from __future__ import absolute_import, print_function, unicode_literals
import attr
@attr.s
class Task(object):
"""
Representation of a task in a TaskGraph. Each Task has, at creation:
- kind: the name of the task kind
- label; the label for this task
- attributes: a dictionary of attributes for this task (used for filtering)
- task: the task definition (JSON-able dictionary)
- optimization: optimization to apply to the task (see taskgraph.optimize)
- dependencies: tasks this one depends on, in the form {name: label}, for example
{'build': 'build-linux64/opt', 'docker-image': 'build-docker-image-desktop-test'}
- soft_dependencies: tasks this one may depend on if they are available post
optimisation. They are set as a list of tasks label.
And later, as the task-graph processing proceeds:
- task_id -- TaskCluster taskId under which this task will be created
This class is just a convenience wrapper for the data type and managing
display, comparison, serialization, etc. It has no functionality of its own.
"""
kind = attr.ib()
label = attr.ib()
attributes = attr.ib()
task = attr.ib()
task_id = attr.ib(default=None, init=False)
optimization = attr.ib(default=None)
dependencies = attr.ib(factory=dict)
soft_dependencies = attr.ib(factory=list)
release_artifacts = attr.ib(
converter=attr.converters.optional(frozenset),
default=None,
)
def __attrs_post_init__(self):
self.attributes['kind'] = self.kind
def to_json(self):
rv = {
'kind': self.kind,
'label': self.label,
'attributes': self.attributes,
'dependencies': self.dependencies,
'soft_dependencies': self.soft_dependencies,
'optimization': self.optimization,
'task': self.task,
}
if self.task_id:
rv['task_id'] = self.task_id
if self.release_artifacts:
rv['release_artifacts'] = sorted(self.release_artifacts)
return rv
@classmethod
def from_json(cls, task_dict):
"""
Given a data structure as produced by taskgraph.to_json, re-construct
the original Task object. This is used to "resume" the task-graph
generation process, for example in Action tasks.
"""
rv = cls(
kind=task_dict['kind'],
label=task_dict['label'],
attributes=task_dict['attributes'],
task=task_dict['task'],
optimization=task_dict['optimization'],
dependencies=task_dict.get('dependencies'),
soft_dependencies=task_dict.get('soft_dependencies'),
release_artifacts=task_dict.get('release-artifacts'),
)
if 'task_id' in task_dict:
rv.task_id = task_dict['task_id']
return rv