Source code for dask.callbacks

from contextlib import contextmanager

__all__ = ["Callback", "add_callbacks"]

[docs]class Callback(object): """Base class for using the callback mechanism Create a callback with functions of the following signatures: >>> def start(dsk): ... pass >>> def start_state(dsk, state): ... pass >>> def pretask(key, dsk, state): ... pass >>> def posttask(key, result, dsk, state, worker_id): ... pass >>> def finish(dsk, state, failed): ... pass You may then construct a callback object with any number of them >>> cb = Callback(pretask=pretask, finish=finish) # doctest: +SKIP And use it either as a context manager over a compute/get call >>> with cb: # doctest: +SKIP ... x.compute() # doctest: +SKIP Or globally with the ``register`` method >>> cb.register() # doctest: +SKIP >>> cb.unregister() # doctest: +SKIP Alternatively subclass the ``Callback`` class with your own methods. >>> class PrintKeys(Callback): # doctest: +SKIP ... def _pretask(self, key, dask, state): ... print("Computing: {0}!".format(repr(key))) >>> with PrintKeys(): # doctest: +SKIP ... x.compute() # doctest: +SKIP """ active = set() def __init__( self, start=None, start_state=None, pretask=None, posttask=None, finish=None ): if start: self._start = start if start_state: self._start_state = start_state if pretask: self._pretask = pretask if posttask: self._posttask = posttask if finish: self._finish = finish @property def _callback(self): fields = ["_start", "_start_state", "_pretask", "_posttask", "_finish"] return tuple(getattr(self, i, None) for i in fields) def __enter__(self): self._cm = add_callbacks(self) self._cm.__enter__() return self def __exit__(self, *args): self._cm.__exit__(*args) def register(self): def unregister(self):
def unpack_callbacks(cbs): """Take an iterable of callbacks, return a list of each callback.""" if cbs: return [[i for i in f if i] for f in zip(*cbs)] else: return [(), (), (), (), ()] @contextmanager def local_callbacks(callbacks=None): """Allows callbacks to work with nested schedulers. Callbacks will only be used by the first started scheduler they encounter. This means that only the outermost scheduler will use global callbacks.""" global_callbacks = callbacks is None if global_callbacks: callbacks, =, set() try: yield callbacks or () finally: if global_callbacks: = callbacks def normalize_callback(cb): """Normalizes a callback to a tuple""" if isinstance(cb, Callback): return cb._callback elif isinstance(cb, tuple): return cb else: raise TypeError("Callbacks must be either `Callback` or `tuple`") class add_callbacks(object): """Context manager for callbacks. Takes several callbacks and applies them only in the enclosed context. Callbacks can either be represented as a ``Callback`` object, or as a tuple of length 4. Examples -------- >>> def pretask(key, dsk, state): ... print("Now running {0}").format(key) >>> callbacks = (None, pretask, None, None) >>> with add_callbacks(callbacks): # doctest: +SKIP ... res.compute() """ def __init__(self, *callbacks): self.callbacks = [normalize_callback(c) for c in callbacks] def __enter__(self): return def __exit__(self, type, value, traceback): for c in self.callbacks: