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Data fixtures for pytest made simple

Offers fixtures for your tests to simplify data fixtures access. Makes use of Python's native Path objects.

Data fixtures (files) expected to be stored in datafixtures directory next to your test modules:

|-- datafixtures
|-- subdirectory
|---- datafixtures


  • datafix_dir - Path object for data fixtures directory from the current test module's directory.
  • datafix - Path object for a file in data fixtures directory with the same name as the current test function.
  • datafix_read - Returns text contents of a data fixture by name.
  • datafix_readbin - Returns binary contents of a data fixture by name.


Access data fixtures directory:

def test_me(datafix_dir):

    # datafix_dir returns a Path object.
    assert datafix_dir.exists()

    # Gather data fixtures filenames.
    files = list(f'{}' for file in datafix_dir.iterdir())

    # Read some fixture as text.
    # The same as using `datafix_read` fixture (see below).
    filecontent = (datafix_dir / 'expected.html').read_text()

    # Or read binary.
    filecontent = (datafix_dir / 'dumped.bin').read_bytes()


Access a data fixture with test name:

def test_me(datafix):
    # Read datafixtures/test_me.txt file
    filecontents = datafix.with_suffix('.txt').read_text()


Access text contents of a data fixture by name:

def test_datafix_read(datafix_read):
    # Read datafixtures/expected.html file
    filecontents = datafix_read('expected.html')

    # Read encoded and represent as an StringIO object.
    encoded_io = datafix_read('test_datafix.txt', encoding='cp1251', io=True)


Access binary contents of a data fixture by name:

def test_datafix_read(datafix_readbin):
    # Read datafixtures/dumped.bin file
    binary = datafix_readbin('dumped.bin')

    # Read binary and represent as an BytesIO object.
    bin_io = datafix_readbin('dumped.bin', io=True)


  • Python 3.6+