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pytzmemcache 2014.4.33
latest version at https://github.com/HatsuneMiku/pytz-memcache
pytz with memcache modified to be high performance that also works on
GAE
( copied from pytz-2014.4 )
Usage
copy zoneinfo.zip to your application directory (current directory on
GAE)
copy pytz-2014.4-gae-py2.X.egg to your application directory
import os
if 'SERVER_SOFTWARE' in os.environ.keys(): # on GAE
from google.appengine.api import memcache
from google.appengine.ext import webapp
# use zoneinfo.zip on current directory
# pytz-2014.4-py2.5.egg does not work on GAE (pytz.common_timezones is [])
sys.path.append('pytz-2014.4-gae-py2.5.egg')
else:
import memcache
import pytz
class GAEHandler(webapp.RequestHandler):
def get(self, param):
self.response.out.write(pytz.common_timezones)
Remarks
‘zoneinfo.zip’ must be in your application directory
memcached must be running on ‘127.0.0.1:11211’ (for local test only)
(memcached has been running on GAE)
it takes about few seconds to run at the first time, but faster next
(it takes very long time when memcahced is not running because worst
case)
please delete key ‘pytz_loaded’ from cache when update pytz zoneinfo
Do It Yourself
unzip pytz-2014.4-py2.X.egg
delete *.pyc
zip recursive pytz/zoneinfo/ to zoneinfo.zip
copy zoneinfo.zip to your application directory (current directory on
GAE)
replace init.py open_resource function (in this repository)
zip pytz/ to pytz-2014.4-gae-py2.X.egg (without zoneinfo.zip)
copy pytz-2014.4-gae-py2.X.egg to your application directory
Links
https://github.com/HatsuneMiku/pytz-memcache
https://github.com/HatsuneMiku/pytz-memcache/wiki
https://pypi.python.org/pypi/pytz-memcache
Requirements
pytz (included)
python-memcached (for local test only)
Relations
pytz https://pypi.python.org/pypi/pytz
python-memcached (client OS independent)
https://pypi.python.org/pypi/python-memcached
GAE https://appengine.google.com/
memcached (server for UNIX) http://memcached.org/
MemCacheD Manager (server for windows)
http://allegiance.chi-town.com/MemCacheDManager.aspx
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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