# -*- coding: utf-8 -*-
__author__ = "Daniel Greenfeld"
__email__ = "pydanny@gmail.com"
__version__ = "1.5.1"
__license__ = "BSD"
from time import time
import threading
try:
import asyncio
except (ImportError, SyntaxError):
asyncio = None
class cached_property(object):
"""
A property that is only computed once per instance and then replaces itself
with an ordinary attribute. Deleting the attribute resets the property.
Source: https://github.com/bottlepy/bottle/commit/fa7733e075da0d790d809aa3d2f53071897e6f76
""" # noqa
def __init__(self, func):
self.__doc__ = getattr(func, "__doc__")
self.func = func
def __get__(self, obj, cls):
if obj is None:
return self
if asyncio and asyncio.iscoroutinefunction(self.func):
return self._wrap_in_coroutine(obj)
value = obj.__dict__[self.func.__name__] = self.func(obj)
return value
def _wrap_in_coroutine(self, obj):
@asyncio.coroutine
def wrapper():
future = asyncio.ensure_future(self.func(obj))
obj.__dict__[self.func.__name__] = future
return future
return wrapper()
class threaded_cached_property(object):
"""
A cached_property version for use in environments where multiple threads
might concurrently try to access the property.
"""
def __init__(self, func):
self.__doc__ = getattr(func, "__doc__")
self.func = func
self.lock = threading.RLock()
def __get__(self, obj, cls):
if obj is None:
return self
obj_dict = obj.__dict__
name = self.func.__name__
with self.lock:
try:
# check if the value was computed before the lock was acquired
return obj_dict[name]
except KeyError:
# if not, do the calculation and release the lock
return obj_dict.setdefault(name, self.func(obj))
class cached_property_with_ttl(object):
"""
A property that is only computed once per instance and then replaces itself
with an ordinary attribute. Setting the ttl to a number expresses how long
the property will last before being timed out.
"""
def __init__(self, ttl=None):
if callable(ttl):
func = ttl
ttl = None
else:
func = None
self.ttl = ttl
self._prepare_func(func)
def __call__(self, func):
self._prepare_func(func)
return self
def __get__(self, obj, cls):
if obj is None:
return self
now = time()
obj_dict = obj.__dict__
name = self.__name__
try:
value, last_updated = obj_dict[name]
except KeyError:
pass
else:
ttl_expired = self.ttl and self.ttl < now - last_updated
if not ttl_expired:
return value
value = self.func(obj)
obj_dict[name] = (value, now)
return value
def __delete__(self, obj):
obj.__dict__.pop(self.__name__, None)
def __set__(self, obj, value):
obj.__dict__[self.__name__] = (value, time())
def _prepare_func(self, func):
self.func = func
if func:
self.__doc__ = func.__doc__
self.__name__ = func.__name__
self.__module__ = func.__module__
# Aliases to make cached_property_with_ttl easier to use
cached_property_ttl = cached_property_with_ttl
timed_cached_property = cached_property_with_ttl
class threaded_cached_property_with_ttl(cached_property_with_ttl):
"""
A cached_property version for use in environments where multiple threads
might concurrently try to access the property.
"""
def __init__(self, ttl=None):
super(threaded_cached_property_with_ttl, self).__init__(ttl)
self.lock = threading.RLock()
def __get__(self, obj, cls):
with self.lock:
return super(threaded_cached_property_with_ttl, self).__get__(obj, cls)
# Alias to make threaded_cached_property_with_ttl easier to use
threaded_cached_property_ttl = threaded_cached_property_with_ttl
timed_threaded_cached_property = threaded_cached_property_with_ttl