def run_scenario(self, input, func):
expected = func(input)
empty = input.iloc[0:0]
input_placeholder = expressions.PlaceholderExpression(empty)
input_deferred = frame_base.DeferredFrame.wrap(input_placeholder)
actual_deferred = func(input_deferred)._expr.evaluate_at(
expressions.Session({input_placeholder: input}))
check_correct(expected, actual_deferred)
with beam.Pipeline() as p:
input_pcoll = p | beam.Create([input.iloc[::2], input.iloc[1::2]])
input_df = convert.to_dataframe(input_pcoll, proxy=empty)
output_df = func(input_df)
output_proxy = output_df._expr.proxy()
if isinstance(output_proxy, pd.core.generic.NDFrame):
self.assertTrue(
output_proxy.iloc[:0].equals(expected.iloc[:0]),
('Output proxy is incorrect:\n'
f'Expected:\n{expected.iloc[:0]}\n\n'
f'Actual:\n{output_proxy.iloc[:0]}'))
else:
self.assertEqual(type(output_proxy), type(expected))
output_pcoll = convert.to_pcollection(output_df,
yield_elements='pandas')
assert_that(output_pcoll,
lambda actual: check_correct(expected, concat(actual)))
def evaluate(partition, stage=self.stage):
session = expressions.Session(
{expr: partition[expr._id]
for expr in stage.inputs})
for expr in stage.outputs:
yield beam.pvalue.TaggedOutput(
expr._id, expr.evaluate_at(session))
def run_scenario(self, input, func):
expected = func(input)
empty = input[0:0]
input_placeholder = expressions.PlaceholderExpression(empty)
input_deferred = frame_base.DeferredFrame.wrap(input_placeholder)
actual_deferred = func(input_deferred)._expr.evaluate_at(
expressions.Session({input_placeholder: input}))
def check_correct(actual):
if actual is None:
raise AssertionError('Empty frame but expected: \n\n%s' % (expected))
sorted_actual = actual.sort_index()
sorted_expected = expected.sort_index()
if not sorted_actual.equals(sorted_expected):
raise AssertionError(
'Dataframes not equal: \n\n%s\n\n%s' %
(sorted_actual, sorted_expected))
check_correct(actual_deferred)
with beam.Pipeline() as p:
input_pcoll = p | beam.Create([input[::2], input[1::2]])
output_pcoll = input_pcoll | transforms.DataframeTransform(
func, proxy=empty)
assert_that(
output_pcoll,
lambda actual: check_correct(pd.concat(actual) if actual else None))
def test_computed_expression(self):
a = expressions.PlaceholderExpression(0)
b = expressions.PlaceholderExpression(0)
a_plus_b = expressions.ComputedExpression('add', lambda a, b: a + b,
[a, b])
session = expressions.Session({a: 1, b: 2})
self.assertEqual(session.evaluate(a_plus_b), 3)
def compute_using_session(self, to_compute):
session = expressions.Session(self._env._inputs)
return {
name: frame._expr.evaluate_at(session)
for name,
frame in to_compute.items()
}
def evaluate(partition, stage=self.stage, **side_inputs):
session = expressions.Session(
dict([(expr, partition[expr._id])
for expr in tabular_inputs] +
[(expr, side_inputs[expr._id])
for expr in scalar_inputs]))
for expr in stage.outputs:
yield beam.pvalue.TaggedOutput(
expr._id, expr.evaluate_at(session))
def _run_test(self, func, *args):
deferred_args = [
frame_base.DeferredFrame.wrap(
expressions.ConstantExpression(arg, arg[0:0])) for arg in args
]
expected = func(*args)
actual = expressions.Session({}).evaluate(func(*deferred_args)._expr)
self.assertTrue(
expected.equals(actual),
'Expected:\n\n%r\n\nActual:\n\n%r' % (expected, actual))
def evaluate(partition, stage=self.stage, **side_inputs):
def lookup(expr):
# Use proxy if there's no data in this partition
return expr.proxy(
).iloc[:0] if partition[expr._id] is None else partition[expr._id]
session = expressions.Session(
dict([(expr, lookup(expr)) for expr in tabular_inputs] +
[(expr, side_inputs[expr._id]) for expr in scalar_inputs]))
for expr in stage.outputs:
yield beam.pvalue.TaggedOutput(expr._id, expr.evaluate_at(session))
def test_elementwise_func(self):
a = pd.Series([1, 2, 3])
b = pd.Series([100, 200, 300])
empty_proxy = a[:0]
x = frames.DeferredSeries(expressions.PlaceholderExpression(empty_proxy))
y = frames.DeferredSeries(expressions.PlaceholderExpression(empty_proxy))
sub = frame_base._elementwise_function(lambda x, y: x - y)
session = expressions.Session({x._expr: a, y._expr: b})
self.assertTrue(sub(x, y)._expr.evaluate_at(session).equals(a - b))
self.assertTrue(sub(x, 1)._expr.evaluate_at(session).equals(a - 1))
self.assertTrue(sub(1, x)._expr.evaluate_at(session).equals(1 - a))
self.assertTrue(sub(x, b)._expr.evaluate_at(session).equals(a - b))
self.assertTrue(sub(a, y)._expr.evaluate_at(session).equals(a - b))
def run_scenario(self, input, func):
expected = func(input)
empty = input[0:0]
input_placeholder = expressions.PlaceholderExpression(empty)
input_deferred = frame_base.DeferredFrame.wrap(input_placeholder)
actual_deferred = func(input_deferred)._expr.evaluate_at(
expressions.Session({input_placeholder: input}))
check_correct(expected, actual_deferred)
with beam.Pipeline() as p:
input_pcoll = p | beam.Create([input[::2], input[1::2]])
output_pcoll = input_pcoll | transforms.DataframeTransform(
func, proxy=empty, yield_elements='pandas')
assert_that(output_pcoll,
lambda actual: check_correct(expected, concat(actual)))
def run_scenario(self, input, func):
expected = func(input)
empty = input[0:0]
input_placeholder = expressions.PlaceholderExpression(empty)
input_deferred = frame_base.DeferredFrame.wrap(input_placeholder)
actual_deferred = func(input_deferred)._expr.evaluate_at(
expressions.Session({input_placeholder: input}))
def concat(parts):
if len(parts) > 1:
return pd.concat(parts)
elif len(parts) == 1:
return parts[0]
else:
return None
def check_correct(actual):
if actual is None:
raise AssertionError('Empty frame but expected: \n\n%s' %
(expected))
if isinstance(expected, pd.core.generic.NDFrame):
sorted_actual = actual.sort_index()
sorted_expected = expected.sort_index()
if not sorted_actual.equals(sorted_expected):
raise AssertionError('Dataframes not equal: \n\n%s\n\n%s' %
(sorted_actual, sorted_expected))
else:
if actual != expected:
raise AssertionError('Scalars not equal: %s != %s' %
(actual, expected))
check_correct(actual_deferred)
with beam.Pipeline() as p:
input_pcoll = p | beam.Create([input[::2], input[1::2]])
output_pcoll = input_pcoll | transforms.DataframeTransform(
func, proxy=empty)
assert_that(output_pcoll,
lambda actual: check_correct(concat(actual)))
def test_constant_expresion(self):
two = expressions.ConstantExpression(2)
session = expressions.Session({})
self.assertEqual(session.evaluate(two), 2)
def test_placeholder_expression(self):
a = expressions.PlaceholderExpression(None)
b = expressions.PlaceholderExpression(None)
session = expressions.Session({a: 1, b: 2})
self.assertEqual(session.evaluate(a), 1)
self.assertEqual(session.evaluate(b), 2)
