def delete(self):
if self.jeeves_id is None:
return
field_names = set()
for field in self._meta.concrete_fields:
if not field.primary_key and not hasattr(field, "through"):
field_names.add(field.attname)
all_vars = []
field_dict = {}
env = JeevesLib.jeevesState.pathenv.getEnv()
for field_name in field_names:
value = getattr(self, field_name)
field_fexpr = fexpr_cast(value).partialEval(env)
all_vars.extend(v.name for v in field_fexpr.vars())
field_dict[field_name] = field_fexpr
for var_set in JeevesModelUtils.powerset(all_vars):
true_vars = list(var_set)
false_vars = list(set(all_vars).difference(var_set))
env_dict = dict(env)
env_dict.update({tv: True for tv in true_vars})
env_dict.update({fv: False for fv in false_vars})
self.do_delete(env_dict)
def delete(self):
if self.jeeves_id is None:
return
field_names = set()
for field in self._meta.concrete_fields:
if not field.primary_key and not hasattr(field, 'through'):
field_names.add(field.attname)
all_vars = []
field_dict = {}
env = JeevesLib.jeevesState.pathenv.getEnv()
for field_name in field_names:
value = getattr(self, field_name)
field_fexpr = fexpr_cast(value).partialEval(env)
all_vars.extend(v.name for v in field_fexpr.vars())
field_dict[field_name] = field_fexpr
for var_set in JeevesModelUtils.powerset(all_vars):
true_vars = list(var_set)
false_vars = list(set(all_vars).difference(var_set))
env_dict = dict(env)
env_dict.update({tv: True for tv in true_vars})
env_dict.update({fv: False for fv in false_vars})
self.do_delete(env_dict)
def save(self, *args, **kw):
"""Saves elements with the appropriate faceted labels.
"""
def full_eval(val, env):
"""Evaluating a value in the context of an environment.
"""
eval_expr = val.partialEval(env)
return eval_expr.v
# TODO: OMG why is this so long.
if not self.jeeves_id:
self.jeeves_id = JeevesModelUtils.get_random_jeeves_id()
if kw.get("update_field", None) is not None:
raise NotImplementedError("Partial saves not supported.")
# Go through fields and do something. TODO: Figure out what.
field_names = set()
for field in self._meta.concrete_fields:
if not field.primary_key and not hasattr(field, "through"):
field_names.add(field.attname)
# Go through labels and create facets.
for label_name, field_name_list in self._jeeves_labels.iteritems():
label = self.acquire_label(label_name)
for field_name in field_name_list:
public_field_value = getattr(self, field_name)
private_field_value = getattr(self, "jeeves_get_private_" + field_name)(self)
faceted_field_value = JeevesLib.mkSensitive(label, public_field_value, private_field_value).partialEval(
JeevesLib.jeevesState.pathenv.getEnv()
)
setattr(self, field_name, faceted_field_value)
all_vars = []
field_dict = {}
env = JeevesLib.jeevesState.pathenv.getEnv()
for field_name in field_names:
value = getattr(self, field_name)
field_val = fexpr_cast(value).partialEval(env)
all_vars.extend(v.name for v in field_val.vars())
field_dict[field_name] = field_val
all_vars = list(set(all_vars))
for cur_vars in JeevesModelUtils.powerset(all_vars):
true_vars = list(cur_vars)
false_vars = list(set(all_vars).difference(cur_vars))
env_dict = dict(env)
env_dict.update({tv: True for tv in true_vars})
env_dict.update({fv: False for fv in false_vars})
self.do_delete(env_dict)
klass = self.__class__
obj_to_save = klass(
**{field_name: full_eval(field_value, env_dict) for field_name, field_value in field_dict.iteritems()}
)
all_jid_objs = list(klass._objects_ordinary.filter(jeeves_id=obj_to_save.jeeves_id).all())
all_relevant_objs = [
obj
for obj in all_jid_objs
if all(
field_name == "jeeves_vars" or getattr(obj_to_save, field_name) == getattr(obj, field_name)
for field_name in field_dict
)
]
# Optimization.
# TODO: See how we can refactor this to shorten the function.
while True:
# check if we can collapse
# if we can, repeat; otherwise, exit
for i in xrange(len(all_relevant_objs)):
other_obj = all_relevant_objs[i]
diff_var = get_one_differing_var(env_dict, JeevesModelUtils.unserialize_vars(other_obj.jeeves_vars))
if diff_var is not None:
super(JeevesModel, other_obj).delete()
del env_dict[diff_var]
break
else:
break
obj_to_save.jeeves_vars = JeevesModelUtils.serialize_vars(env_dict)
super(JeevesModel, obj_to_save).save(*args, **kw)
def save(self, *args, **kw):
"""Saves elements with the appropriate faceted labels.
"""
def full_eval(val, env):
"""Evaluating a value in the context of an environment.
"""
eval_expr = val.partialEval(env)
return eval_expr.v
# TODO: OMG why is this so long.
if not self.jeeves_id:
self.jeeves_id = JeevesModelUtils.get_random_jeeves_id()
if kw.get("update_field", None) is not None:
raise NotImplementedError("Partial saves not supported.")
# Go through fields and do something. TODO: Figure out what.
field_names = set()
for field in self._meta.concrete_fields:
if not field.primary_key and not hasattr(field, 'through'):
field_names.add(field.attname)
# Go through labels and create facets.
for label_name, field_name_list in self._jeeves_labels.iteritems():
label = self.acquire_label(label_name)
for field_name in field_name_list:
public_field_value = getattr(self, field_name)
private_field_value = getattr(self
, 'jeeves_get_private_' + \
field_name)(self)
faceted_field_value = JeevesLib.mkSensitive(label
, public_field_value
, private_field_value).partialEval(
JeevesLib.jeevesState.pathenv. \
getEnv())
setattr(self, field_name, faceted_field_value)
all_vars = []
field_dict = {}
env = JeevesLib.jeevesState.pathenv.getEnv()
for field_name in field_names:
value = getattr(self, field_name)
field_val = fexpr_cast(value).partialEval(env)
all_vars.extend(v.name for v in field_val.vars())
field_dict[field_name] = field_val
all_vars = list(set(all_vars))
for cur_vars in JeevesModelUtils.powerset(all_vars):
true_vars = list(cur_vars)
false_vars = list(set(all_vars).difference(cur_vars))
env_dict = dict(env)
env_dict.update({tv: True for tv in true_vars})
env_dict.update({fv: False for fv in false_vars})
self.do_delete(env_dict)
klass = self.__class__
obj_to_save = klass(
**{
field_name: full_eval(field_value, env_dict)
for field_name, field_value in field_dict.iteritems()
})
all_jid_objs = list(
klass._objects_ordinary.filter(
jeeves_id=obj_to_save.jeeves_id).all())
all_relevant_objs = [
obj for obj in all_jid_objs
if all(field_name == 'jeeves_vars' or getattr(
obj_to_save, field_name) == getattr(obj, field_name)
for field_name in field_dict)
]
# Optimization.
# TODO: See how we can refactor this to shorten the function.
while True:
# check if we can collapse
# if we can, repeat; otherwise, exit
for i in xrange(len(all_relevant_objs)):
other_obj = all_relevant_objs[i]
diff_var = get_one_differing_var(
env_dict,
JeevesModelUtils.unserialize_vars(
other_obj.jeeves_vars))
if diff_var is not None:
super(JeevesModel, other_obj).delete()
del env_dict[diff_var]
break
else:
break
obj_to_save.jeeves_vars = JeevesModelUtils.serialize_vars(env_dict)
super(JeevesModel, obj_to_save).save(*args, **kw)
