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Support lists under items in schema #181

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6 changes: 5 additions & 1 deletion flattentool/schema.py
Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,11 @@ def parse_schema_dict(self, parent_path, schema_dict, parent_id_fields=None, tit
elif 'array' in property_type_set:
flattened_key = parent_path.replace('/0/', '/')+property_name
self.flattened[flattened_key] = "array"
type_set = get_property_type_set(property_schema_dict['items'])
if isinstance(property_schema_dict['items'], list):
# If we have a list under items, just use the first one
type_set = get_property_type_set(property_schema_dict['items'][0])
else:
type_set = get_property_type_set(property_schema_dict['items'])
if 'string' in type_set or not type_set:
self.flattened[flattened_key] = "string_array"
yield property_name, title
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27 changes: 27 additions & 0 deletions flattentool/tests/test_schema_parser.py
Original file line number Diff line number Diff line change
Expand Up @@ -282,6 +282,33 @@ def test_simple_array(type_):
assert set(parser.main_sheet) == set(['Atest'])


@pytest.mark.parametrize('type_', ['string', 'number'])
def test_double_array(type_):
"""
Make sure we handle an array under items, used for e.g. co-ordinates.

"""
parser = SchemaParser(
root_schema_dict={
'properties': {
'Atest': {
'type': 'array',
'items': [
{
'type': type_
},
{
'type': type_
}
]
}
}
}
)
parser.parse()
assert set(parser.main_sheet) == set(['Atest'])


@pytest.mark.parametrize('type_', ['string', 'number'])
def test_nested_simple_array(type_):
parser = SchemaParser(
Expand Down