def objects_starting_with(obj_type, text = "", key = None):
"""
The function returns a list of matching keys from table/model
identified by the 'obj_type' parameter
If the table/model has a 'alias' field, then this field's
values are also examined for matches
The first argument is the name of a table/model in the store,
while the second argument is a prefix to filter the results.
The filter is applied to the key of the table/model, which
was previously populated.
"""
if key:
if not mi.obj_type_has_field(obj_type, key):
sdnsh.warning("objects_starting_with: %s doesn't have field %s" %
(obj_type, key))
else:
key = mi.pk(obj_type)
if key == None:
sdnsh.warning("objects_starting_with: %s doesn't have pk" %
(obj_type))
key_entries = []
# Next, find the object
# Deal with any changes to the lookup name based on the 'contenation'
# of the config mode name to the named identifer.
#
case = mi.get_obj_type_field_case_sensitive(obj_type, key)
id_value = utif.convert_case(case, text)
if mi.obj_type_has_model(obj_type):
# from the database
try:
entries = sdnsh.get_table_from_store(obj_type, key, id_value)
errors = None
except Exception, e:
errors = sdnsh.rest_error_to_dict(e)
if errors:
print sdnsh.rest_error_dict_to_message(errors)
return key_entries
def alias_to_value_handler(value, obj_type, data, field, other = None):
"""
Compute the alias value for the named field for the obj_type.
Place the resulting converted field into the data dictionary.
Since this is a data-handler, the data dict must be updated
even if this isn't an alias, otherwise the field value is lost.
"""
global sdnsh
if sdnsh.description:
print 'alias_to_value_handler: ', value, obj_type, data, field
if field != mi.pk(obj_type):
# if this is a forgeign key, use the obj_type of the fk.
if mi.is_foreign_key(obj_type, field):
(obj_type, fk_name) = mi.foreign_key_references(obj_type, field)
else:
# XXX possibly other choices to determine alias_obj_type?
if sdnsh.description:
print 'alias_to_value_handler: field %s no obj-type ref %s ' % \
(field, obj_type)
if other:
parts = other.split('|')
key = mi.pk(parts[0]) # parts[0] <- first part of other
if len(parts) > 0:
other = parts[0]
key = field
# not clear whether the part[1] is useful, two parts used
# in other functions, example complete-from-another()
other = mi.obj_type_related_config_obj_type(other)
converted_value = convert_alias_to_object_key(other, value)
pk = mi.pk(other)
if mi.is_compound_key(other, pk) and converted_value != value:
pk_dict = { pk : converted_value }
mi.split_compound_into_dict(other, pk, pk_dict, is_prefix = True)
for (k,v) in pk_dict.items():
if k != pk:
data[k] = v
if sdnsh.description:
print "alias_to_value_handler: compound (other) %s:%s <- %s:%s" % \
(k, data[k], other, converted_value)
else:
case = mi.get_obj_type_field_case_sensitive(other, field)
data[field] = utif.convert_case(case, converted_value)
if sdnsh.description:
print "alias_to_value_handler: (other) %s:%s <- %s:%s" % \
(key, data[key], other, value)
else:
# Some obj_types, for example, host, have no cassandra data,
# but do have a related obj_type which is in the store
obj_type = mi.obj_type_related_config_obj_type(obj_type)
converted_value = convert_alias_to_object_key(obj_type, value)
pk = mi.pk(obj_type)
if mi.is_compound_key(obj_type, pk) and converted_value != value:
pk_dict = { pk : converted_value }
split_obj_type = other if other != None else obj_type
mi.split_compound_into_dict(split_obj_type, pk, pk_dict, is_prefix = True)
for (k,v) in pk_dict.items():
if k != pk:
data[k] = v
if sdnsh.description:
print "alias_to_value_handler: compound %s:%s <- %s:%s" % \
(k, data[k], obj_type, converted_value)
else:
case = mi.get_obj_type_field_case_sensitive(obj_type, field)
data[field] = utif.convert_case(case, converted_value)
if sdnsh.description:
print "alias_to_value_handler: %s:%s <- %s:%s" % (field,
data[field], obj_type, value)
