Source code for pypet.utils.decorators

"""Module containing decorators"""

import functools
import logging
import time
import warnings


[docs] def manual_run(turn_into_run=True, store_meta_data=True, clean_up=True): """Can be used to decorate a function as a manual run function. This can be helpful if you want the run functionality without using an environment. :param turn_into_run: If the trajectory should become a `single run` with more specialized functionality during a single run. :param store_meta_data: If meta-data like runtime should be automatically stored :param clean_up: If all data added during the single run should be removed, only works if ``turn_into_run=True``. """ def wrapper(func): @functools.wraps(func) def new_func(traj, *args, **kwargs): do_wrap = not traj._run_by_environment if do_wrap: traj.f_start_run(turn_into_run=turn_into_run) result = func(traj, *args, **kwargs) if do_wrap: traj.f_finalize_run(store_meta_data=store_meta_data, clean_up=clean_up) return result return new_func return wrapper
def deprecated(msg=""): """This is a decorator which can be used to mark functions as deprecated. It will result in a warning being emitted when the function is used. :param msg: Additional message added to the warning. """ def wrapper(func): @functools.wraps(func) def new_func(*args, **kwargs): warning_string = f"Call to deprecated function or property `{func.__name__}`." warning_string = warning_string + " " + msg warnings.warn( warning_string, category=DeprecationWarning, ) return func(*args, **kwargs) return new_func return wrapper def copydoc(fromfunc, sep="\n"): """Decorator: Copy the docstring of `fromfunc` If the doc contains a line with the keyword `ABSTRACT`, like `ABSTRACT: Needs to be defined in subclass`, this line and the line after are removed. """ def _decorator(func): sourcedoc = fromfunc.__doc__ # Remove the ABSTRACT line: split_doc = sourcedoc.split("\n") split_doc_no_abstract = [line for line in split_doc if "ABSTRACT" not in line] # If the length is different we have found an ABSTRACT line # Finally we want to remove the final blank line, otherwise # we would have three blank lines at the end if len(split_doc) != len(split_doc_no_abstract): sourcedoc = "\n".join(split_doc_no_abstract[:-1]) if func.__doc__ is None: func.__doc__ = sourcedoc else: func.__doc__ = sep.join([sourcedoc, func.__doc__]) return func return _decorator def kwargs_mutual_exclusive(param1_name, param2_name, map2to1=None): """If there exist mutually exclusive parameters checks for them and maps param2 to 1.""" def wrapper(func): @functools.wraps(func) def new_func(*args, **kwargs): if param2_name in kwargs: if param1_name in kwargs: raise ValueError( f"You cannot specify `{param1_name}` and `{param2_name}` at the same time, " f"they are mutually exclusive." ) param2 = kwargs.pop(param2_name) if map2to1 is not None: param1 = map2to1(param2) else: param1 = param2 kwargs[param1_name] = param1 return func(*args, **kwargs) return new_func return wrapper def kwargs_api_change(old_name, new_name=None): """This is a decorator which can be used if a kwarg has changed its name over versions to also support the old argument name. Issues a warning if the old keyword argument is detected and converts call to new API. :param old_name: Old name of the keyword argument :param new_name: New name of keyword argument """ def wrapper(func): @functools.wraps(func) def new_func(*args, **kwargs): if old_name in kwargs: if new_name is None: warning_string = ( f"Using deprecated keyword argument `{old_name}` in function `{func.__name__}`. " "This keyword is no longer supported, please don`t use it " "anymore." ) else: warning_string = ( f"Using deprecated keyword argument `{old_name}` in function `{func.__name__}`, " f"please use keyword `{new_name}` instead." ) warnings.warn(warning_string, category=DeprecationWarning) value = kwargs.pop(old_name) if new_name is not None: kwargs[new_name] = value return func(*args, **kwargs) return new_func return wrapper def not_in_run(func): """This is a decorator that signaling that a function is not available during a single run.""" doc = func.__doc__ na_string = """\nATTENTION: This function is not available during a single run!\n""" if doc is not None: func.__doc__ = "\n".join([doc, na_string]) func._not_in_run = True @functools.wraps(func) def new_func(self, *args, **kwargs): if self._is_run: raise TypeError(f"Function `{func.__name__}` is not available during a single run.") return func(self, *args, **kwargs) return new_func def with_open_store(func): """This is a decorator that signaling that a function is only available if the storage is open.""" doc = func.__doc__ na_string = """\nATTENTION: This function can only be used if the store is open!\n""" if doc is not None: func.__doc__ = "\n".join([doc, na_string]) func._with_open_store = True @functools.wraps(func) def new_func(self, *args, **kwargs): if not self.traj.v_storage_service.is_open: raise TypeError(f"Function `{func.__name__}` is only available if the storage is open.") return func(self, *args, **kwargs) return new_func def retry(n, errors, wait=0.0, logger_name=None): """This is a decorator that retries a function. Tries `n` times and catches a given tuple of `errors`. If the `n` retries are not enough, the error is reraised. If desired `waits` some seconds. Optionally takes a 'logger_name' of a given logger to print the caught error. """ def wrapper(func): @functools.wraps(func) def new_func(*args, **kwargs): retries = 0 while True: try: result = func(*args, **kwargs) if retries and logger_name: logger = logging.getLogger(logger_name) logger.debug(f"Retry of `{func.__name__}` successful") return result except errors: if retries >= n: if logger_name: logger = logging.getLogger(logger_name) logger.exception( f"I could not execute `{func.__name__}` with args {args} and kwargs {kwargs}, " f"starting next try. " ) raise elif logger_name: logger = logging.getLogger(logger_name) logger.debug( f"I could not execute `{func.__name__}` with args {args} and kwargs {kwargs}, " f"starting next try. " ) retries += 1 if wait: time.sleep(wait) return new_func return wrapper def _prfx_getattr_(obj, item): """Replacement of __getattr__""" if item.startswith("f_") or item.startswith("v_"): return getattr(obj, item[2:]) raise AttributeError(f"`{obj.__class__.__name__}` object has no attribute `{item}`") def _prfx_setattr_(obj, item, value): """Replacement of __setattr__""" if item.startswith("v_"): return setattr(obj, item[2:], value) else: return super(obj.__class__, obj).__setattr__(item, value) def prefix_naming(cls): """Decorate that adds the prefix naming scheme""" if hasattr(cls, "__getattr__"): raise TypeError("__getattr__ already defined") cls.__getattr__ = _prfx_getattr_ cls.__setattr__ = _prfx_setattr_ return cls