##// END OF EJS Templates
caches: use individual namespaces per user to prevent beaker caching problems....
caches: use individual namespaces per user to prevent beaker caching problems. - especially for mysql in case large number of data in caches there could be critical errors storing cache, and thus preventing users from authentication. This is caused by the fact that we used single namespace for ALL users. It means it grew as number of users grew reaching mysql single column limit. This changes the behaviour and now we use namespace per-user it means that each user-id will have it's own cache namespace fragmenting maximum column data to a single user cache. Which we should never reach.

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ext_json.py
64 lines | 1.8 KiB | text/x-python | PythonLexer
import datetime
import decimal
import functools
import simplejson as json
from rhodecode.lib.datelib import is_aware
try:
import rhodecode.translation
except ImportError:
rhodecode = None
__all__ = ['json']
def _obj_dump(obj):
"""
Custom function for dumping objects to JSON, if obj has __json__ attribute
or method defined it will be used for serialization
:param obj:
"""
# See "Date Time String Format" in the ECMA-262 specification.
# some code borrowed from django 1.4
if isinstance(obj, set):
return list(obj)
elif isinstance(obj, datetime.datetime):
r = obj.isoformat()
if isinstance(obj.microsecond, (int, long)):
r = r[:23] + r[26:]
if r.endswith('+00:00'):
r = r[:-6] + 'Z'
return r
elif isinstance(obj, datetime.date):
return obj.isoformat()
elif isinstance(obj, datetime.time):
if is_aware(obj):
raise TypeError("Time-zone aware times are not JSON serializable")
r = obj.isoformat()
if isinstance(obj.microsecond, (int, long)):
r = r[:12]
return r
elif hasattr(obj, '__json__'):
if callable(obj.__json__):
return obj.__json__()
else:
return obj.__json__
elif isinstance(obj, decimal.Decimal):
return str(obj)
elif isinstance(obj, complex):
return [obj.real, obj.imag]
elif rhodecode and isinstance(obj, rhodecode.translation._LazyString):
return obj.eval()
else:
raise TypeError(repr(obj) + " is not JSON serializable")
json.dumps = functools.partial(json.dumps, default=_obj_dump, use_decimal=False)
json.dump = functools.partial(json.dump, default=_obj_dump, use_decimal=False)
# alias for formatted json
formatted_json = functools.partial(json.dumps, indent=4, sort_keys=True)