Beispiel #1
0
class DatabaseRunner(Runner):
	"""
	Runner class that uses the database to discover percepts for evaluation

	:param algorithm: algorithm to run against each percept
	:type algorithm: :py:class:`~rigor.algorithm.Algorithm`
	:param config: configuration data
	:type config: :py:class:`~rigor.config.RigorConfiguration`
	:param str database_name: name of the database to use
	:param dict parameters: settings for the Runner
	:param file checkpoint: open :py:class:`~rigor.checkpoint.Checkpoint` file to resume from
	"""

	def __init__(self, algorithm, config, database_name, parameters=None, checkpoint=None):
		Runner.__init__(self, algorithm, parameters, checkpoint)
		self._config = config
		self._database = Database(database_name, config)
		self._perceptops = PerceptOps(config)

	def fetch_data(self, percept):
		"""
		Gets percept data from the repository

		:param percept: The percept corresponding to data to fetch
		:return: Percept data encapsulated in a :py:func:`~contextlib.contextmanager`
		"""
		return self._perceptops.fetch(percept)
Beispiel #2
0
class DatabaseRunner(Runner):
    """
	Runner class that uses the database to discover percepts for evaluation

	:param algorithm: algorithm to run against each percept
	:type algorithm: :py:class:`~rigor.algorithm.Algorithm`
	:param config: configuration data
	:type config: :py:class:`~rigor.config.RigorConfiguration`
	:param str database_name: name of the database to use
	:param dict parameters: settings for the Runner
	:param file checkpoint: open :py:class:`~rigor.checkpoint.Checkpoint` file to resume from
	"""
    def __init__(self,
                 algorithm,
                 config,
                 database_name,
                 parameters=None,
                 checkpoint=None):
        Runner.__init__(self, algorithm, parameters, checkpoint)
        self._config = config
        self._database = Database(database_name, config)
        self._perceptops = PerceptOps(config)

    def fetch_data(self, percept):
        """
		Gets percept data from the repository

		:param percept: The percept corresponding to data to fetch
		:return: Percept data encapsulated in a :py:func:`~contextlib.contextmanager`
		"""
        return self._perceptops.fetch(percept)
def test_fetch():
	ops = PerceptOps(kConfig)
	def read(locator, credentials):
		return (locator, credentials)
	ops.read = read
	percept = Percept()
	percept.locator = constants.kExampleTextFile
	result = ops.fetch(percept)
	assert result == (percept.locator, None)
Beispiel #4
0
def test_fetch():
    ops = PerceptOps(kConfig)

    def read(locator, credentials):
        return (locator, credentials)

    ops.read = read
    percept = Percept()
    percept.locator = constants.kExampleTextFile
    result = ops.fetch(percept)
    assert result == (percept.locator, None)