def merge(self,
walk,
base,
head,
schema,
meta,
objclass_menu=None,
objClass='_default',
**kwargs):
if not walk.is_type(head, "object"):
raise HeadInstanceError(
"Head for an 'object' merge strategy is not an object", head)
if objclass_menu is None:
objclass_menu = {'_default': dict}
objcls = objclass_menu.get(objClass)
if objcls is None:
raise SchemaError("objClass '%s' not recognized" % objClass,
schema)
if base.is_undef():
base = JSONValue(objcls(), base.ref)
else:
if not walk.is_type(base, "object"):
raise BaseInstanceError(
"Base for an 'object' merge strategy is not an object",
base)
base = JSONValue(objcls(base.val), base.ref)
for k, v in head.items():
subschema = JSONValue(undef=True)
# get subschema for this element
if not schema.is_undef():
p = schema.get('properties')
if not p.is_undef():
subschema = p.get(k)
if subschema.is_undef():
p = schema.get('patternProperties')
if not p.is_undef():
for pattern, s in p.items():
if re.search(pattern, k):
subschema = s
if subschema.is_undef():
p = schema.get('additionalProperties')
# additionalProperties can be boolean in draft 4
if not p.is_undef() and walk.is_type(p, "object"):
subschema = p
base[k] = walk.descend(subschema, base.get(k), v, meta)
return base
def merge(self, walk, base, head, schema, meta, objclass_menu=None, objClass='_default', **kwargs):
if not walk.is_type(head, "object"):
raise HeadInstanceError("Head for an 'object' merge strategy is not an object", head)
if objclass_menu is None:
objclass_menu = { '_default': dict }
objcls = objclass_menu.get(objClass)
if objcls is None:
raise SchemaError("objClass '%s' not recognized" % objClass, schema)
if base.is_undef():
base = JSONValue(objcls(), base.ref)
else:
if not walk.is_type(base, "object"):
raise BaseInstanceError("Base for an 'object' merge strategy is not an object", base)
base = JSONValue(objcls(base.val), base.ref)
for k, v in head.items():
subschema = JSONValue(undef=True)
# get subschema for this element
if not schema.is_undef():
p = schema.get('properties')
if not p.is_undef():
subschema = p.get(k)
if subschema.is_undef():
p = schema.get('patternProperties')
if not p.is_undef():
for pattern, s in p.items():
if re.search(pattern, k):
subschema = s
if subschema.is_undef():
p = schema.get('additionalProperties')
# additionalProperties can be boolean in draft 4
if not p.is_undef() and walk.is_type(p, "object"):
subschema = p
base[k] = walk.descend(subschema, base.get(k), v, meta)
return base
def merge(self,
walk,
base,
head,
schema,
limit=None,
unique=None,
ignoreDups=True,
metadata=None,
**kwargs):
# backwards compatibility
if unique is False:
ignoreDups = False
if metadata is not None:
if not walk.is_type(JSONValue(val=metadata), "object"):
raise SchemaError(
"'metadata' option does not contain an object")
if base.is_undef():
base = JSONValue(val=[], ref=base.ref)
last_entry = JSONValue(undef=True)
else:
if not walk.is_type(base, "array"):
raise BaseInstanceError(
"Base is not an array. "
"Base not previously generated with this strategy?", base)
base = JSONValue(list(base.val), base.ref)
if base.val:
last_entry = base[-1]
if not walk.is_type(last_entry, "object"):
raise BaseInstanceError(
"Last entry in the versioned array is not an object. "
"Base not previously generated with this strategy?",
last_entry)
if 'value' not in last_entry.val:
raise BaseInstanceError(
"Last entry in the versioned array has no 'value' property. "
"Base not previously generated with this strategy?",
last_entry)
else:
last_entry = JSONValue(undef=True)
if not ignoreDups or last_entry.is_undef(
) or last_entry['value'].val != head.val:
base.val.append(self.add_metadata(head.val, metadata))
if limit is not None:
base.val = base.val[-limit:]
return base
def merge(self, walk, base, head, schema, meta, **kwargs):
if not walk.is_type(head, "object"):
raise HeadInstanceError("Head for an 'object' merge strategy is not an object")
if base.is_undef():
base = JSONValue({}, base.ref)
else:
if not walk.is_type(base, "object"):
raise BaseInstanceError("Base for an 'object' merge strategy is not an object")
base = JSONValue(dict(base.val), base.ref)
for k, v in head.items():
subschema = JSONValue(undef=True)
# get subschema for this element
if not schema.is_undef():
p = schema.get('properties')
if not p.is_undef():
subschema = p.get(k)
if subschema.is_undef():
p = schema.get('patternProperties')
if not p.is_undef():
for pattern, s in p.items():
if re.search(pattern, k):
subschema = s
if subschema.is_undef():
p = schema.get('additionalProperties')
if not p.is_undef():
subschema = p.get(k)
base.val[k] = walk.descend(subschema, base.get(k), v, meta).val
return base
def merge(self, walk, base, head, schema, meta, **kwargs):
if not walk.is_type(head, "object"):
raise HeadInstanceError("Head for an 'object' merge strategy is not an object")
if base.is_undef():
base = JSONValue({}, base.ref)
else:
if not walk.is_type(base, "object"):
raise BaseInstanceError("Base for an 'object' merge strategy is not an object")
base = JSONValue(dict(base.val), base.ref)
for k, v in head.items():
subschema = JSONValue(undef=True)
# get subschema for this element
if not schema.is_undef():
p = schema.get('properties')
if not p.is_undef():
subschema = p.get(k)
if subschema.is_undef():
p = schema.get('patternProperties')
if not p.is_undef():
for pattern, s in p.items():
if re.search(pattern, k):
subschema = s
if subschema.is_undef():
p = schema.get('additionalProperties')
if not p.is_undef():
subschema = p
base.val[k] = walk.descend(subschema, base.get(k), v, meta).val
return base
def test_undef(self):
v = JSONValue(undef=True)
self.assertTrue(v.is_undef())
def test_undef(self):
v = JSONValue(undef=True)
self.assertTrue(v.is_undef())
