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Ensure exceptions which occur during install are propagated
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@ -1,11 +1,14 @@
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# pylint: disable=missing-module-docstring, redefined-outer-name, unused-argument, wrong-import-order, unused-import
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import time
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from unittest import mock
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import pytest
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import tox.venv
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from poetry.factory import Factory
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from .fixtures import mock_poetry_factory
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from .fixtures import mock_venv
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from tox_poetry_installer import _poetry
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from tox_poetry_installer import installer
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from tox_poetry_installer import utilities
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@ -57,3 +60,28 @@ def test_parallelization(mock_venv, mock_poetry_factory):
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assert round(parallel * 5) == round(sequential)
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assert round(sequential) == len(set(to_install))
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assert round(parallel * 5) == len(set(to_install))
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@pytest.mark.parametrize("num_threads", (0, 8))
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def test_propagates_exceptions_during_installation(
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mock_venv, mock_poetry_factory, num_threads
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):
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# Assert that an exception which occurs during installation is properly raised.
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# Regression test for https://github.com/enpaul/tox-poetry-installer/issues/86
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poetry = Factory().create_poetry(None)
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packages: utilities.PackageMap = {
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item.name: item for item in poetry.locker.locked_repository().packages
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}
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to_install = [packages["toml"]]
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venv = tox.venv.VirtualEnv()
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fake_exception = ValueError("my testing exception")
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with mock.patch.object(
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_poetry,
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"PipInstaller",
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**{"return_value.install.side_effect": fake_exception},
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):
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with pytest.raises(ValueError) as exc_info:
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installer.install(poetry, venv, to_install, num_threads)
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assert exc_info.value is fake_exception
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@ -71,11 +71,20 @@ def install(
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yield lambda func, arg: func(arg)
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with _optional_parallelize() as executor:
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futures = []
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for dependency in packages:
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if dependency not in installed:
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installed.add(dependency)
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logger.debug(f"Queuing {dependency}")
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executor(logged_install, dependency)
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future = executor(logged_install, dependency)
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if future is not None:
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futures.append(future)
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else:
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logger.debug(f"Skipping {dependency}, already installed")
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logger.debug("Waiting for installs to finish...")
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for future in concurrent.futures.as_completed(futures):
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# Don't actually care about the return value, just waiting on the
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# future to ensure any exceptions that were raised in the called
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# function are propagated.
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future.result()
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