115 lines
3.3 KiB
Python
115 lines
3.3 KiB
Python
"""
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Let's make sure them docs work yah?
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"""
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from contextlib import contextmanager
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import itertools
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import os
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import sys
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import subprocess
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import platform
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import shutil
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import pytest
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from conftest import repodir
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def examples_dir():
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"""Return the abspath to the examples directory.
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"""
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return os.path.join(repodir(), 'examples')
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@pytest.fixture
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def run_example_in_subproc(loglevel, testdir, arb_addr):
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@contextmanager
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def run(script_code):
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kwargs = dict()
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if platform.system() == 'Windows':
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# on windows we need to create a special __main__.py which will
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# be executed with ``python -m <modulename>`` on windows..
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shutil.copyfile(
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os.path.join(examples_dir(), '__main__.py'),
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os.path.join(str(testdir), '__main__.py')
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)
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# drop the ``if __name__ == '__main__'`` guard onwards from
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# the *NIX version of each script
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windows_script_lines = itertools.takewhile(
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lambda line: "if __name__ ==" not in line,
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script_code.splitlines()
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)
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script_code = '\n'.join(windows_script_lines)
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script_file = testdir.makefile('.py', script_code)
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# without this, tests hang on windows forever
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kwargs['creationflags'] = subprocess.CREATE_NEW_PROCESS_GROUP
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# run the testdir "libary module" as a script
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cmdargs = [
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sys.executable,
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'-m',
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# use the "module name" of this "package"
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'test_example'
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]
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else:
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script_file = testdir.makefile('.py', script_code)
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cmdargs = [
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sys.executable,
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str(script_file),
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]
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# XXX: BE FOREVER WARNED: if you enable lots of tractor logging
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# in the subprocess it may cause infinite blocking on the pipes
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# due to backpressure!!!
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proc = testdir.popen(
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cmdargs,
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**kwargs,
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)
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assert not proc.returncode
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yield proc
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proc.wait()
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assert proc.returncode == 0
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yield run
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@pytest.mark.parametrize(
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'example_script',
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# walk yields: (dirpath, dirnames, filenames)
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[(p[0], f) for p in os.walk(examples_dir()) for f in p[2]
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if '__' not in f
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and 'debugging' not in p[0]
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]
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)
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def test_example(run_example_in_subproc, example_script):
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"""Load and run scripts from this repo's ``examples/`` dir as a user
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would copy and pasing them into their editor.
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On windows a little more "finessing" is done to make
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``multiprocessing`` play nice: we copy the ``__main__.py`` into the
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test directory and invoke the script as a module with ``python -m
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test_example``.
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"""
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ex_file = os.path.join(*example_script)
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with open(ex_file, 'r') as ex:
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code = ex.read()
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with run_example_in_subproc(code) as proc:
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proc.wait()
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err, _ = proc.stderr.read(), proc.stdout.read()
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# print(f'STDERR: {err}')
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# print(f'STDOUT: {out}')
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# if we get some gnarly output let's aggregate and raise
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errmsg = err.decode()
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errlines = errmsg.splitlines()
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if err and 'Error' in errlines[-1]:
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raise Exception(errmsg)
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assert proc.returncode == 0
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