Thanks Greg! I found your code a great reference... just in case
you're curious I was doing things similairly in my code - which still
is only working in RAM serverside so far, I've yet to plugin memcache
as you have. I may just merge with your library to plugin to memcache
once I find out what the limits of my simple session logic is going to
be...
theSessionCookie = handler.request.cookies.get('theSessionCookie',
'')
if theSessionCookie == '' or not theSessionCookie in
context.sessions:
newSessionId = str(handler.request.remote_addr) + '_' + \
str(long(time.time()*1000.0)) + '_' +
str(random.random())
handler.response.headers.add_header(
'Set-Cookie',
'theSessionCookie=%s; expires=Fri, 31-Dec-2020
23:59:59 GMT' \
% newSessionId)
theSessionCookie = newSessionId
context.sessions[theSessionCookie] = HTTPSession()
('context' is a just a simple global)
Then I just accessed my HTTPSession with:
sessionObject = context.sessions[theSessionCookie]
Which is just a thin wrapper around a dict for all the session
variables.
On Nov 2, 6:10 pm, Greg <[EMAIL PROTECTED]> wrote:
> > The system looks great. I was hoping to however store 'plain' python
> > objects in RAM on the serverside - the reason for this is to not incur
> > any quota 'hits' by hitting the datastore... also I didn't want to
> > have to restrict to only pickle-able objects for the session data.
>
> I have a very small memcache-only session module here:
>
> http://code.google.com/p/gmemsess/
>
> This will not hit the datastore at all, and can contain any data
> types, not just the datastore variable types. Of course, it is limited
> by memcache, and so may disappear due to memory constraints, but so
> far has been completely reliable in sub-hour time frames.
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