def merge(self, walk, base, head, schema, meta, idRef="id", ignoreId=None, **kwargs):
if not walk.is_type(head, "array"):
raise HeadInstanceError("Head for an 'arrayMergeById' merge strategy is not an array", head) # nopep8
if base.is_undef():
base = JSONValue([], base.ref)
else:
if not walk.is_type(base, "array"):
raise BaseInstanceError("Base for an 'arrayMergeById' merge strategy is not an array", base) # nopep8
base = JSONValue(list(base.val), base.ref)
subschema = schema.get('items')
if walk.is_type(subschema, "array"):
raise SchemaError("'arrayMergeById' not supported when 'items' is an array", subschema)
def iter_index_key_item(jv):
for i, item in enumerate(jv):
try:
key = walk.resolver.resolve_fragment(item.val, idRef)
except jsonschema.RefResolutionError:
continue
yield i, key, item
for i, key_1, item_1 in iter_index_key_item(head):
for j, key_2, item_2 in iter_index_key_item(head):
if j < i:
if key_1 == key_2:
raise HeadInstanceError("Id '%s' was not unique in head" % (key_1,), item_1)
else:
break
for i, head_key, head_item in iter_index_key_item(head):
if head_key == ignoreId:
continue
matching_j = []
for j, base_key, base_item in iter_index_key_item(base):
if base_key == head_key:
matching_j.append(j)
matched_item = base_item
if len(matching_j) == 1:
# If there was exactly one match, we replace it with a merged item
j = matching_j[0]
base[j] = walk.descend(subschema, matched_item, head_item, meta)
elif len(matching_j) == 0:
# If there wasn't a match, we append a new object
base.append(walk.descend(subschema, JSONValue(undef=True), head_item, meta))
else:
j = matching_j[1]
raise BaseInstanceError("Id '%s' was not unique in base" % (base_key,), base[j])
return base
def merge(self, walk, base, head, schema, meta, idRef="id", ignoreId=None, **kwargs):
if not walk.is_type(head, "array"):
raise HeadInstanceError("Head for an 'arrayMergeById' merge strategy is not an array", head) # nopep8
if base.is_undef():
base = JSONValue([], base.ref)
else:
if not walk.is_type(base, "array"):
raise BaseInstanceError("Base for an 'arrayMergeById' merge strategy is not an array", base) # nopep8
base = JSONValue(list(base.val), base.ref)
subschema = schema.get('items')
if walk.is_type(subschema, "array"):
raise SchemaError("'arrayMergeById' not supported when 'items' is an array", subschema)
for i, key_1, item_1 in self.iter_index_key_item(walk, head, idRef):
for j, key_2, item_2 in self.iter_index_key_item(walk, head, idRef):
if j < i:
if key_1 == key_2:
raise HeadInstanceError("Id '%s' was not unique in head" % (key_1,), item_1)
else:
break
for i, head_key, head_item in self.iter_index_key_item(walk, head, idRef):
if head_key == ignoreId:
continue
matching_j = []
for j, base_key, base_item in self.iter_index_key_item(walk, base, idRef):
if base_key == head_key:
matching_j.append(j)
matched_item = base_item
if len(matching_j) == 1:
# If there was exactly one match, we replace it with a merged item
j = matching_j[0]
base[j] = walk.descend(subschema, matched_item, head_item, meta)
elif len(matching_j) == 0:
# If there wasn't a match, we append a new object
base.append(walk.descend(subschema, JSONValue(undef=True), head_item, meta))
else:
j = matching_j[1]
raise BaseInstanceError("Id '%s' was not unique in base" % (base_key,), base[j])
return base
def merge(self, walk, base, head, schema, idRef="id", ignoreId=None, **kwargs):
if not walk.is_type(head, "array"):
raise HeadInstanceError("Head is not an array", head) # nopep8
if base.is_undef():
base = JSONValue([], base.ref)
else:
if not walk.is_type(base, "array"):
raise BaseInstanceError("Base is not an array", base) # nopep8
base = JSONValue(list(base.val), base.ref)
subschema = schema.get('items')
if walk.is_type(subschema, "array"):
raise SchemaError("This strategy is not supported when 'items' is an array", subschema)
for i, key_1, item_1 in self.iter_index_key_item(walk, head, idRef):
for j, key_2, item_2 in self.iter_index_key_item(walk, head, idRef):
if j < i:
if key_1 == key_2:
raise HeadInstanceError("Id '%s' was not unique in head" % (key_1,), item_1)
else:
break
for i, head_key, head_item in self.iter_index_key_item(walk, head, idRef):
if head_key == ignoreId:
continue
matching_j = []
for j, base_key, base_item in self.iter_index_key_item(walk, base, idRef):
if base_key == head_key:
matching_j.append(j)
matched_item = base_item
if len(matching_j) == 1:
# If there was exactly one match, we replace it with a merged item
j = matching_j[0]
base[j] = walk.descend(subschema, matched_item, head_item)
elif len(matching_j) == 0:
# If there wasn't a match, we append a new object
base.append(walk.descend(subschema, JSONValue(undef=True), head_item))
else:
j = matching_j[1]
raise BaseInstanceError("Id '%s' was not unique in base" % (base_key,), base[j])
return base
def test_append_undef(self):
v = JSONValue([])
v.append(JSONValue(undef=True))
self.assertEqual([], v.val)
def test_append_undef(self):
v = JSONValue([])
v.append(JSONValue(undef=True))
self.assertEqual([], v.val)
