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()