Expands the idea from Thread-specific storage (by John E.Barham). ThreadedContext is like a dictionary, but stores its data in a private namespace for every thread.
Python, 36 lines
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Copy to clipboard1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | ThreadedContext is like a dictionary, but stores its data in a private namespace for every thread.
A thread can't access to the data from other thread.
USAGE:
In Thread 1:
d = ThreadedContext()
d[1]=1
In Thread 2:
d[1] #raises KeyError exception
d[1]= 2
In Thread 1:
print d[1] #prints 1
In Thread 2:
print d[1] #prints 2
If a thread is deleted its keys in ThreadedContext are erased.
"""
from weakref import WeakKeyDictionary as _WeakKeyDictionary
from threading import currentThread as _currentThread
class ThreadedContext:
def __init__(self):
self.__thread_dict = _WeakKeyDictionary()
def __getattr__(self,name):
return getattr(self.__currentDict(),name)
def __currentDict(self, _currentThread = _currentThread):
try:
return self.__thread_dict[_currentThread()]
except KeyError:
self.__thread_dict[_currentThread()] = result = {}
return result
|
Use it when you need diferents namespace for every thread. For example: in a web server you can store HTTPRequest and HTTPResponse in a globally accesible ThreadedContext and do: httpRequest = context["HTTPRequest"] #context is a ThreadedContext instance.
Tags: threads
Builtin to 2.4. In 2.4, use the threading.local object to get a thread-local storage.