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| | class TestAvroOptions: |
| | @staticmethod |
| | def _get_target_class(): |
| | from google.cloud.bigquery.format_options import AvroOptions |
| |
|
| | return AvroOptions |
| |
|
| | def test_ctor(self): |
| | config = self._get_target_class()() |
| | assert config.use_avro_logical_types is None |
| |
|
| | def test_from_api_repr(self): |
| | config = self._get_target_class().from_api_repr({"useAvroLogicalTypes": True}) |
| | assert config.use_avro_logical_types |
| |
|
| | def test_to_api_repr(self): |
| | config = self._get_target_class()() |
| | config.use_avro_logical_types = False |
| |
|
| | result = config.to_api_repr() |
| | assert result == {"useAvroLogicalTypes": False} |
| |
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|
| | class TestParquetOptions: |
| | @staticmethod |
| | def _get_target_class(): |
| | from google.cloud.bigquery.format_options import ParquetOptions |
| |
|
| | return ParquetOptions |
| |
|
| | def test_ctor(self): |
| | config = self._get_target_class()() |
| | assert config.enum_as_string is None |
| | assert config.enable_list_inference is None |
| |
|
| | def test_from_api_repr(self): |
| | config = self._get_target_class().from_api_repr( |
| | {"enumAsString": False, "enableListInference": True} |
| | ) |
| | assert not config.enum_as_string |
| | assert config.enable_list_inference |
| | assert config.map_target_type is None |
| |
|
| | def test_to_api_repr(self): |
| | config = self._get_target_class()() |
| | config.enum_as_string = True |
| | config.enable_list_inference = False |
| | config.map_target_type = "ARRAY_OF_STRUCT" |
| |
|
| | result = config.to_api_repr() |
| | assert result == { |
| | "enumAsString": True, |
| | "enableListInference": False, |
| | "mapTargetType": "ARRAY_OF_STRUCT", |
| | } |
| |
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