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)