This project provides a central housing for developing converters from various data sources. Note unless otherwise specified, all keys are processed and stored case insensitively.

1. Mark10 (Mechanical testing data) Reads time, force and displacement data from the CSV output written by Mark10. If area=(float)` and units=(string) keywords are provided, then the stress will also be calculated. The available keys will depend on the input file, but based on early testing, are "time", "force", "disp", "area" (if specified), "stress" (if area and units are specified).
2. Aramis (DIC strain data) Reads strain information from CSV output produced by Aramis.

Tests are critical to ensuring the continued stability and performance of any package. And this one is no exception. At present, the output from the test is compared against a previous run that was manually inspected. Please see test_*.py for examples. These, however, show the final product. How do we actually generate those outputs?

1. Run a "bad" test that generates the test file, e.g.

HERE = '/full/path/to/citrine_converters/test'
SOURCE = '{}/data/source_data.csv'.format(HERE)

assert os.isdir(HERE)
assert os.isfile(SOURCE)

@pytest.fixture
def equipment_data_no_modifier():
    pass

def test_data_no_modifier(equipment_data_no_modifier):
    pifs = pif.dumps(converter(SOURCE), sort_keys=True)
    # This will write the output of the test. Be sure to give this
    # a more meaningful name!
    with open('{}/data/equipment-data-no-modifier.json'.format(HERE), 'w') as ofs:
        ofs.write(pifs)
    # The test is intended to fail in this step.
    assert False

2. Check equipment-data-no-modifier.json manually.

3. Create a "good" test.

HERE = '/full/path/to/citrine_converters/test'
SOURCE = '{}/data/source_data.csv'.format(HERE)

assert os.isdir(HERE)
assert os.isfile(SOURCE)

@pytest.fixture
def equipment_data_no_modifier():
    with open('{}/data/equipment-data-no-modifier.json'.format(HERE)) as ifs:
        reference = ifs.read()
    return reference

def test_data_no_modifier(equipment_data_no_modifier):
    # These two lines could be combined into a single line,
    # but this is more clear, imho.
    pifs = converter(SOURCE)
    pifs = pif.dumps(pifs, sort_keys=True)
    assert pifs == equipment_data_no_modifier