def set_schema_defaults(self, schema, id_field):
""" When not provided, fills individual schema settings with default
or global configuration settings.
:param schema: the resource schema to be initialized with default
values
.. versionchanged: 0.6
Add default ID_FIELD to the schema, so documents with an existing
ID_FIELD can also be stored.
.. versionchanged: 0.0.7
Setting the default 'field' value would not happen if the
'data_relation' was nested deeper than the first schema level (#60).
.. versionadded: 0.0.5
"""
# Don't set id_field 'unique' since we already handle
# DuplicateKeyConflict in the mongo layer. This also
# avoids a performance hit (with 'unique' rule set, we would
# end up with an extra db loopback on every insert).
if isinstance(schema, dict):
schema.setdefault(id_field, {"type": "objectid"})
# set default 'field' value for all 'data_relation' rulesets, however
# nested
for data_relation in list(extract_key_values("data_relation", schema)):
data_relation.setdefault("field", id_field)
def set_schema_defaults(self, schema, id_field):
""" When not provided, fills individual schema settings with default
or global configuration settings.
:param schema: the resource schema to be initialized with default
values
.. versionchanged: 0.6
Add default ID_FIELD to the schema, so documents with an existing
ID_FIELD can also be stored.
.. versionchanged: 0.0.7
Setting the default 'field' value would not happen if the
'data_relation' was nested deeper than the first schema level (#60).
.. versionadded: 0.0.5
"""
# id_field has to be 'unique'. Some data layers, e.g. the default mongo
# layer ignore this validation rule to avoid a performance hit (with
# 'unique' rule set, we would end up with an extra db loopback on every
# insert).
schema.setdefault(id_field, {
'type': 'objectid',
'unique': True
})
# set default 'field' value for all 'data_relation' rulesets, however
# nested
for data_relation in list(extract_key_values('data_relation', schema)):
data_relation.setdefault('field', id_field)
def test_extract_key_values(self):
test = {
"key1": "value1",
"key2": {"key1": "value2", "nested": {"key1": "value3"}},
}
self.assertEqual(
list(extract_key_values("key1", test)), ["value1", "value2", "value3"]
)
def test_extract_key_values(self):
test = {
'key1': 'value1',
'key2': {
'key1': 'value2',
'nested': {
'key1': 'value3'
}
}
}
self.assertEqual(list(extract_key_values('key1', test)),
['value1', 'value2', 'value3'])
def set_schema_defaults(self, schema):
""" When not provided, fills individual schema settings with default
or global configuration settings.
:param schema: the resource schema to be initialized with default
values
.. versionchanged: 0.0.7
Setting the default 'field' value would not happen if the
'data_relation' was nested deeper than the first schema level (#60).
.. versionadded: 0.0.5
"""
# TODO fill schema{} defaults, like field type, etc.
# set default 'field' value for all 'data_relation' rulesets, however
# nested
for data_relation in list(extract_key_values('data_relation', schema)):
data_relation.setdefault('field', self.config['ID_FIELD'])
