84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
import pytest
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from funcy import rcompose, lmap
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from pyinfra.server.client_pipeline import ClientPipeline
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from pyinfra.server.dispatcher.dispatchers.forwarding import ForwardingDispatcher
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from pyinfra.server.dispatcher.dispatchers.rest import RestDispatcher
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from pyinfra.server.interpreter.interpreters.identity import IdentityInterpreter
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from pyinfra.server.interpreter.interpreters.rest_callback import RestPickupStreamer
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from pyinfra.server.packer.packers.rest import RestPacker
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from pyinfra.server.receiver.receivers.identity import IdentityReceiver
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from pyinfra.server.receiver.receivers.rest import RestReceiver
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from pyinfra.server.utils import unpack
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from pyinfra.utils.func import lift
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def test_mock_pipeline():
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data = [1, 2, 3]
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f, g, h, u = map(lift, [lambda x: x ** 2, lambda x: x + 2, lambda x: x / 2, lambda x: x])
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pipeline = ClientPipeline(f, g, h, u)
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assert list(pipeline(data)) == list(rcompose(f, g, h, u)(data))
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@pytest.mark.parametrize(
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"client_pipeline_type",
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[
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"rest",
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# "basic",
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],
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)
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def test_pipeline(client_pipeline, input_data_items, metadata, target_data_items):
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output = client_pipeline(input_data_items, metadata)
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output = lmap(unpack, output)
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assert output == target_data_items
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# @pytest.mark.parametrize("item_type", ["string"])
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# @pytest.mark.parametrize("n_items", [1])
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# def test_pipeline_is_lazy(input_data_items, metadata):
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# def lazy_test_fn(*args, **kwargs):
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# probe["executed"] = True
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# return b"null", {}
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#
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# probe = {"executed": False}
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# processor_fn = make_streamable(lazy_test_fn, buffer_size=3, batched=False)
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#
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# client_pipeline = ClientPipeline(
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# RestPacker(), ForwardingDispatcher(processor_fn), IdentityReceiver(), IdentityInterpreter()
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# )
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# output = client_pipeline(input_data_items, metadata)
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#
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# assert not probe["executed"]
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#
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# list(output)
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#
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# assert probe["executed"]
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@pytest.fixture
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def client_pipeline(rest_client_pipeline, basic_client_pipeline, client_pipeline_type):
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if client_pipeline_type == "rest":
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return rest_client_pipeline
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elif client_pipeline_type == "basic":
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return basic_client_pipeline
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@pytest.fixture
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def rest_client_pipeline(server_process, endpoint, rest_interpreter):
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"""Requires a webserver to listen on `endpoint`"""
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return ClientPipeline(RestPacker(), RestDispatcher(endpoint), RestReceiver(), rest_interpreter)
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@pytest.fixture
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def basic_client_pipeline(endpoint, rest_interpreter, processor_fn):
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return ClientPipeline(RestPacker(), ForwardingDispatcher(processor_fn), IdentityReceiver(), IdentityInterpreter())
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@pytest.fixture
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def rest_interpreter():
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return rcompose(RestPickupStreamer(), RestReceiver())
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