def test_ds_extraction(path=None):
    skip_if_no_module('libxmp')

    ds = Dataset(path).create()
    copy(testpath, path)
    ds.save()
    assert_repo_status(ds.path)

    res = extract_metadata(
        types=['xmp'],
        dataset=ds,
        # artificially disable extraction from any file in the dataset
        files=[])
    assert_result_count(
        res, 1,
        type='dataset', status='ok', action='metadata', path=path, refds=ds.path)
    assert_in('xmp', res[0]['metadata'])

    # now the more useful case: getting everything for xmp from a dataset
    res = extract_metadata(
        types=['xmp'],
        dataset=ds)
    assert_result_count(res, 2)
    assert_result_count(
        res, 1,
        type='dataset', status='ok', action='metadata', path=path, refds=ds.path)
    assert_result_count(
        res, 1,
        type='file', status='ok', action='metadata', path=opj(path, 'xmp.pdf'),
        parentds=ds.path)
    for r in res:
        assert_in('xmp', r['metadata'])
Exemple #2
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def test_add_readme(path):
    ds = Dataset(path).create(force=True)
    ds.save()
    ds.aggregate_metadata()
    ok_clean_git(ds.path)
    assert_status('ok', ds.add_readme())
    # should use default name
    eq_(
        open(opj(path, 'README.md')).read(), """\
# Dataset "demo_ds"

this is for play

### Authors

- Betty
- Tom

### License

PDDL

## General information

This is a DataLad dataset (id: {id}).

For more information on DataLad and on how to work with its datasets,
see the DataLad documentation at: http://docs.datalad.org
""".format(id=ds.id))

    # should skip on re-run
    assert_status('notneeded', ds.add_readme())
Exemple #3
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def test_add_readme(path):
    ds = Dataset(path).create(force=True)
    ds.save()
    ds.aggregate_metadata()
    ok_clean_git(ds.path)
    assert_status('ok', ds.add_readme())
    # should use default name
    eq_(
        open(opj(path, 'README.md')).read(),
        """\
# Dataset "demo_ds"

this is for play

### Authors

- Betty
- Tom

### License

PDDL

## General information

This is a DataLad dataset (id: {id}).

For more information on DataLad and on how to work with its datasets,
see the DataLad documentation at: http://docs.datalad.org
""".format(
    id=ds.id))

    # should skip on re-run
    assert_status('notneeded', ds.add_readme())
def test_ds_extraction(path):
    from datalad.tests.utils import SkipTest
    try:
        import libxmp
    except ImportError:
        raise SkipTest

    ds = Dataset(path).create()
    copy(testpath, path)
    ds.add('.')
    ok_clean_git(ds.path)

    res = extract_metadata(
        types=['xmp'],
        dataset=ds,
        # artificially disable extraction from any file in the dataset
        files=[])
    assert_result_count(res,
                        1,
                        type='dataset',
                        status='ok',
                        action='metadata',
                        path=path,
                        refds=ds.path)
    assert_in('xmp', res[0]['metadata'])

    # now the more useful case: getting everthing for xmp from a dataset
    res = extract_metadata(types=['xmp'], dataset=ds)
    assert_result_count(res, 2)
    assert_result_count(res,
                        1,
                        type='dataset',
                        status='ok',
                        action='metadata',
                        path=path,
                        refds=ds.path)
    assert_result_count(res,
                        1,
                        type='file',
                        status='ok',
                        action='metadata',
                        path=opj(path, 'xmp.pdf'),
                        parentds=ds.path)
    for r in res:
        assert_in('xmp', r['metadata'])