Use offset_linkid instead of offset to scan >1000 entities.
this is a first-cut. It works in all the ways I could make earlier
versions fail. It passes link_id as URL parameters. It also has a new
class LinkCreator which makes the main body of getListContents even easier
to write.
I wasn't sure if link_id's could have non alphanumeric characters; if so, they
need to be URL encoded/decoded.
I also need to go and remove any mention of raw offsets now, because we don't
use them.
I believe I've talked about this approach with a few of you and it sounded
reasonable. Feel free to roll-back/fix/amend/comment-for-me-to-fix. This is
my first big-logic-change to Melange.
Patch by: Dan Bentley
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
_standard_context_processors = None
class ContextPopException(Exception):
"pop() has been called more times than push()"
pass
class Context(object):
"A stack container for variable context"
def __init__(self, dict_=None, autoescape=True):
dict_ = dict_ or {}
self.dicts = [dict_]
self.autoescape = autoescape
def __repr__(self):
return repr(self.dicts)
def __iter__(self):
for d in self.dicts:
yield d
def push(self):
d = {}
self.dicts = [d] + self.dicts
return d
def pop(self):
if len(self.dicts) == 1:
raise ContextPopException
return self.dicts.pop(0)
def __setitem__(self, key, value):
"Set a variable in the current context"
self.dicts[0][key] = value
def __getitem__(self, key):
"Get a variable's value, starting at the current context and going upward"
for d in self.dicts:
if key in d:
return d[key]
raise KeyError(key)
def __delitem__(self, key):
"Delete a variable from the current context"
del self.dicts[0][key]
def has_key(self, key):
for d in self.dicts:
if key in d:
return True
return False
__contains__ = has_key
def get(self, key, otherwise=None):
for d in self.dicts:
if key in d:
return d[key]
return otherwise
def update(self, other_dict):
"Like dict.update(). Pushes an entire dictionary's keys and values onto the context."
if not hasattr(other_dict, '__getitem__'):
raise TypeError('other_dict must be a mapping (dictionary-like) object.')
self.dicts = [other_dict] + self.dicts
return other_dict
# This is a function rather than module-level procedural code because we only
# want it to execute if somebody uses RequestContext.
def get_standard_processors():
global _standard_context_processors
if _standard_context_processors is None:
processors = []
for path in settings.TEMPLATE_CONTEXT_PROCESSORS:
i = path.rfind('.')
module, attr = path[:i], path[i+1:]
try:
mod = __import__(module, {}, {}, [attr])
except ImportError, e:
raise ImproperlyConfigured('Error importing request processor module %s: "%s"' % (module, e))
try:
func = getattr(mod, attr)
except AttributeError:
raise ImproperlyConfigured('Module "%s" does not define a "%s" callable request processor' % (module, attr))
processors.append(func)
_standard_context_processors = tuple(processors)
return _standard_context_processors
class RequestContext(Context):
"""
This subclass of template.Context automatically populates itself using
the processors defined in TEMPLATE_CONTEXT_PROCESSORS.
Additional processors can be specified as a list of callables
using the "processors" keyword argument.
"""
def __init__(self, request, dict=None, processors=None):
Context.__init__(self, dict)
if processors is None:
processors = ()
else:
processors = tuple(processors)
for processor in get_standard_processors() + processors:
self.update(processor(request))