pyinfra/test/unit_tests/server/stream_buffer_test.py
2022-06-14 14:06:06 +02:00

77 lines
2.3 KiB
Python

import pytest
from funcy import repeatedly, takewhile, notnone, lmap, lmapcat, lflatten
from pyinfra.server.buffering.stream import FlatStreamBuffer, StreamBuffer
from pyinfra.server.dispatcher.dispatcher import Nothing
from pyinfra.server.stream.queued_stream_function import QueuedStreamFunction
from pyinfra.utils.func import lift, foreach, starlift
@pytest.fixture
def func(one_to_many):
def fn(x):
y = x**2
return y if not one_to_many else (y, y)
return fn
def test_stream_buffer(func, inputs, outputs, buffer_size):
stream_buffer = StreamBuffer(lift(func), buffer_size=buffer_size)
assert lmapcat(stream_buffer, (*inputs, Nothing)) == outputs
assert lmapcat(stream_buffer, [Nothing]) == []
@pytest.mark.parametrize("n_items", [1])
def test_stream_buffer_catches_type_error(func, inputs, outputs):
stream_buffer = StreamBuffer(func)
with pytest.raises(TypeError):
lmapcat(stream_buffer, inputs)
def test_flat_stream_buffer(func, inputs, outputs, buffer_size):
flat_stream_buffer = FlatStreamBuffer(lift(func), buffer_size=buffer_size)
assert list(flat_stream_buffer(inputs)) == lflatten(outputs)
assert list(flat_stream_buffer([])) == []
@pytest.mark.xfail(reason="input wrong format, TODO: redesign input fixture hierarchy")
def test_flat_stream_buffer_on_different_data(
core_operation, input_data_items, metadata, target_data_items, buffer_size, item_type, one_to_many
):
if core_operation is Nothing:
pytest.skip(f"No operation defined for parameter combination: {item_type=}, {one_to_many=}")
flat_stream_buffer = FlatStreamBuffer(starlift(core_operation), buffer_size=buffer_size)
assert list(flat_stream_buffer(zip(input_data_items, metadata))) == target_data_items
assert list(flat_stream_buffer([])) == []
def test_queued_stream_function(func, inputs, outputs):
queued_stream_function = QueuedStreamFunction(lift(func))
foreach(queued_stream_function.push, inputs)
assert list(takewhile(notnone, repeatedly(queued_stream_function.pop))) == outputs
@pytest.fixture
def inputs(n_items):
return range(n_items)
@pytest.fixture
def outputs(inputs, func):
return lmap(func, inputs)
@pytest.fixture(params=[1, 3, 10, 12])
def buffer_size(request):
return request.param