Re: Beaker 1.1 Release

2008-11-24 Thread Ben Bangert

On Nov 24, 2008, at 7:19 AM, Walter Cruz wrote:


Beaker 1.1 still generates:

TypeError: __init__() got an unexpected keyword argument  
'digest_filenames'


on google appengine. I will try to provide a patch.


This issue is fixed in the latest release.

Cheers,
Ben

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Re: Beaker 1.1 Release

2008-11-21 Thread Michael Bayer

wow I love the tar thing.  It's fine by me !

Philip Jenvey wrote:


 On Nov 19, 2008, at 1:47 PM, Michael Bayer wrote:


 also your usage is more succinct via:

 response = cache.get_value(request, expiretime=x, createfunc=lambda:
 func(self, *arg, **kw))

 Mike, I've attempted a quick and dirty auto upgrade patch for the
 Beaker 1.0.x format to 1.1, take a look:

 http://pylonshq.com/pasties/1003

 --
 Philip Jenvey



 



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Re: Beaker 1.1 Release

2008-11-20 Thread Philip Jenvey


On Nov 19, 2008, at 1:47 PM, Michael Bayer wrote:


 also your usage is more succinct via:

 response = cache.get_value(request, expiretime=x, createfunc=lambda:
 func(self, *arg, **kw))

Mike, I've attempted a quick and dirty auto upgrade patch for the  
Beaker 1.0.x format to 1.1, take a look:

http://pylonshq.com/pasties/1003

--
Philip Jenvey



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Re: Beaker 1.1 Release

2008-11-20 Thread joeformd

Thanks Mike - that all works great!
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Re: Beaker 1.1 Release

2008-11-19 Thread joeformd

Hi,

Not sure if some usage has changed, but when I upgraded to 1.1, my
expiretime parameter in cache.get_value() doesnt seem to have any
effect - new caches are made, but don't seem to be replaced when the
time is up. If I roll back to 0.9 it works fine.

Code:

request = web.ctx.environ['PATH_INFO'] + web.ctx.environ
['QUERY_STRING']

cache = web.ctx.environ['beaker.cache'].get_cache('lif_public')

try:

response = cache.get_value(request, expiretime=3*60)

except:

cache.set_value(request, func(self, *args, **kwargs))
response = cache.get_value(request)

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Re: Beaker 1.1 Release

2008-11-19 Thread Michael Bayer

also your usage is more succinct via:

response = cache.get_value(request, expiretime=x, createfunc=lambda:
func(self, *arg, **kw))


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Beaker 1.1 Release

2008-11-16 Thread Ben Bangert
Beaker 1.1 has been released. I only mention it here because those  
upgrading should note that the pickled file format for Beaker has  
CHANGED. This means that ALL PRIOR BEAKER CACHE FILES SHOULD BE  
REMOVED AFTER UPGRADING.


Otherwise your application will throw errors as it won't find the  
expected values in the cache.


Beaker 1.1 CHANGELOG:

* file-based cache will not hold onto cached value once read from file;
  will create new value if the file is deleted as opposed to re-using
  what was last read.  This allows external removal of files to be
  used as a cache-invalidation mechanism.
* Sending type and other namespace config arguments to cache.get()/
  cache.put()/cache.remove_value() is deprecated.   The namespace
  configuration is now preferred at the Cache level, i.e. when you  
construct
  a Cache or call cache_manager.get_cache().  This removes the  
ambiguity

  of Cache's dictionary interface and has_key() methods, which have
  no awareness of those arguments.
* the expiretime in use is stored in the cache itself, so that it is
  always available when calling has_key() and other methods.  Between
  this change and the deprecation of 'type', the Cache no longer has
  any need to store cache configuration in memory per cache key,  
which in a

  dynamically-generated key scenario stores an arbitrarily large number
  of configurations - essentially a memory leak.
* memcache caching has been vastly improved, no longer stores a list of
  all keys, which along the same theme prevented efficient usage for an
  arbitrarily large number of keys.  The keys() method is now  
unimplemented,
  and cache.remove() clears the entire memcache cache across all  
namespaces.

  This is what the memcache API provides so it's the best we can do.
* memcache caching passes along expiretime to the memcached time
  parameter, so that the cache itself can reduce its size for  
elements which
  are expired (memcache seems to manage its size in any case, this is  
just a

  hint to improve its operation).
* replaced homegrown ThreadLocal implementation with threading.local,  
falls

  back to a 2.3 compat one for python2.4

Cheers,
Ben

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