def test_Dataset_write(tmpdir): ds = StructureDataset.from_metadata(str(tmpdir)) ds.write(ValueTable=[]) assert (tmpdir / 'values.csv').exists() ds.validate() ds.add_sources("@misc{ky,\ntitle={the title}\n}") ds.write(ValueTable=[{ 'ID': '1', 'Language_ID': 'abcd1234', 'Parameter_ID': 'f1', 'Value': 'yes', 'Source': ['key[1-20]', 'ky'], }]) ds2 = StructureDataset.from_metadata( str(tmpdir.join('StructureDataset-metadata.json'))) assert ds2['ValueTable'].common_props['dc:extent'] == 1 assert {s[1]: s[2] for s in ds.stats()}['ValueTable'] == 1 ds['ValueTable'].common_props['dc:extent'] = 3 assert {s[1]: s[2] for s in ds.stats()}['ValueTable'] == 3 with pytest.raises(ValueError): ds.validate() ds.sources.add("@misc{key,\ntitle={the title}\n}") ds.write(ValueTable=({ 'ID': '1', 'Language_ID': 'abcd1234', 'Parameter_ID': 'f1', 'Value': 'yes', 'Source': ['key[1-20]'], } for _ in range(1))) ds.validate() ds.add_component('ExampleTable') ds.write(ValueTable=[{ 'ID': '1', 'Language_ID': 'abcd1234', 'Parameter_ID': 'f1', 'Value': 'yes', 'Source': ['key[1-20]'], }], ExampleTable=[{ 'ID': '1', 'Language_ID': 'abcd1234', 'Primary': 'si', 'Translation': 'yes', 'Analyzed': ['morph1', 'morph2', 'morph3'], 'Gloss': ['gl1', 'gl2'], }]) with pytest.raises(ValueError): ds.validate() ds['ExampleTable'].write([{ 'ID': '1', 'Language_ID': 'abcd1234', 'Primary_Text': 'si', 'Translated_Text': 'yes', 'Analyzed_Word': ['morph1', 'morph2', 'morph3'], 'Gloss': ['gl1', 'gl2', 'gl3'], }]) ds.validate()
def test_Dataset_validate_missing_table(tmpdir, mocker): ds = StructureDataset.from_metadata(str(tmpdir)) ds.tablegroup.tables = [] ds.write() log = mocker.Mock() ds.validate(log=log) assert log.warn.called
def test_Dataset_validate_missing_table(tmpdir, mocker): ds = StructureDataset.from_metadata(str(tmpdir)) ds.tablegroup.tables = [] ds.write() log = mocker.Mock() ds.validate(log=log) assert log.warn.called
def test_Dataset_write(tmpdir): ds = StructureDataset.from_metadata(str(tmpdir)) ds.write(ValueTable=[]) assert (tmpdir / 'values.csv').exists() ds.validate() ds.add_sources("@misc{ky,\ntitle={the title}\n}") ds.write(ValueTable=[ { 'ID': '1', 'Language_ID': 'abcd1234', 'Parameter_ID': 'f1', 'Value': 'yes', 'Source': ['key[1-20]', 'ky'], }]) ds2 = StructureDataset.from_metadata( str(tmpdir.join('StructureDataset-metadata.json'))) assert ds2['ValueTable'].common_props['dc:extent'] == 1 assert {s[1]: s[2] for s in ds.stats()}['ValueTable'] == 1 ds['ValueTable'].common_props['dc:extent'] = 3 assert {s[1]: s[2] for s in ds.stats()}['ValueTable'] == 3 with pytest.raises(ValueError): ds.validate() ds.sources.add("@misc{key,\ntitle={the title}\n}") ds.write(ValueTable=( { 'ID': '1', 'Language_ID': 'abcd1234', 'Parameter_ID': 'f1', 'Value': 'yes', 'Source': ['key[1-20]'], } for _ in range(1))) ds.validate() ds.add_component('ExampleTable') ds.write( ValueTable=[ { 'ID': '1', 'Language_ID': 'abcd1234', 'Parameter_ID': 'f1', 'Value': 'yes', 'Source': ['key[1-20]'], }], ExampleTable=[ { 'ID': '1', 'Language_ID': 'abcd1234', 'Primary': 'si', 'Translation': 'yes', 'Analyzed': ['morph1', 'morph2', 'morph3'], 'Gloss': ['gl1', 'gl2'], }]) with pytest.raises(ValueError): ds.validate() ds['ExampleTable'].write([ { 'ID': '1', 'Language_ID': 'abcd1234', 'Primary_Text': 'si', 'Translated_Text': 'yes', 'Analyzed_Word': ['morph1', 'morph2', 'morph3'], 'Gloss': ['gl1', 'gl2', 'gl3'], }]) ds.validate()