Source code for spack.phase_callbacks
# Copyright Spack Project Developers. See COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import collections
import llnl.util.lang as lang
#: An object of this kind is a shared global state used to collect callbacks during
#: class definition time, and is flushed when the class object is created at the end
#: of the class definition
#:
#: Args:
#: attribute_name (str): name of the attribute that will be attached to the builder
#: callbacks (list): container used to temporarily aggregate the callbacks
CallbackTemporaryStage = collections.namedtuple(
"CallbackTemporaryStage", ["attribute_name", "callbacks"]
)
#: Shared global state to aggregate "@run_before" callbacks
_RUN_BEFORE = CallbackTemporaryStage(attribute_name="run_before_callbacks", callbacks=[])
#: Shared global state to aggregate "@run_after" callbacks
_RUN_AFTER = CallbackTemporaryStage(attribute_name="run_after_callbacks", callbacks=[])
[docs]
class PhaseCallbacksMeta(type):
"""Permit to register arbitrary functions during class definition and run them
later, before or after a given install phase.
Each method decorated with ``run_before`` or ``run_after`` gets temporarily
stored in a global shared state when a class being defined is parsed by the Python
interpreter. At class definition time that temporary storage gets flushed and a list
of callbacks is attached to the class being defined.
"""
def __new__(mcs, name, bases, attr_dict):
for temporary_stage in (_RUN_BEFORE, _RUN_AFTER):
staged_callbacks = temporary_stage.callbacks
# Here we have an adapter from an old-style package. This means there is no
# hierarchy of builders, and every callback that had to be combined between
# *Package and *Builder has been combined already by _PackageAdapterMeta
if name == "Adapter":
continue
# If we are here we have callbacks. To get a complete list, we accumulate all the
# callbacks from base classes, we deduplicate them, then prepend what we have
# registered here.
#
# The order should be:
# 1. Callbacks are registered in order within the same class
# 2. Callbacks defined in derived classes precede those defined in base
# classes
callbacks_from_base = []
for base in bases:
current_callbacks = getattr(base, temporary_stage.attribute_name, None)
if not current_callbacks:
continue
callbacks_from_base.extend(current_callbacks)
callbacks_from_base = list(lang.dedupe(callbacks_from_base))
# Set the callbacks in this class and flush the temporary stage
attr_dict[temporary_stage.attribute_name] = staged_callbacks[:] + callbacks_from_base
del temporary_stage.callbacks[:]
return super(PhaseCallbacksMeta, mcs).__new__(mcs, name, bases, attr_dict)
[docs]
@staticmethod
def run_after(phase, when=None):
"""Decorator to register a function for running after a given phase.
Args:
phase (str): phase after which the function must run.
when (str): condition under which the function is run (if None, it is always run).
"""
def _decorator(fn):
key = (phase, when)
item = (key, fn)
_RUN_AFTER.callbacks.append(item)
return fn
return _decorator
[docs]
@staticmethod
def run_before(phase, when=None):
"""Decorator to register a function for running before a given phase.
Args:
phase (str): phase before which the function must run.
when (str): condition under which the function is run (if None, it is always run).
"""
def _decorator(fn):
key = (phase, when)
item = (key, fn)
_RUN_BEFORE.callbacks.append(item)
return fn
return _decorator
# Export these names as standalone to be used in packages
run_after = PhaseCallbacksMeta.run_after
run_before = PhaseCallbacksMeta.run_before