"""Puts the check_parallel system under test""" # Copyright (c) 2020-2021 Pierre Sassoulas # Copyright (c) 2020 Frank Harrison # Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html # For details: https://github.com/PyCQA/pylint/blob/master/COPYING # pylint: disable=protected-access,missing-function-docstring,no-self-use import collections import os import pytest import pylint.interfaces import pylint.lint.parallel from pylint.checkers.base_checker import BaseChecker from pylint.lint import PyLinter from pylint.lint.parallel import _worker_check_single_file as worker_check_single_file from pylint.lint.parallel import _worker_initialize as worker_initialize from pylint.lint.parallel import check_parallel from pylint.testutils import GenericTestReporter as Reporter def _gen_file_data(idx=0): """Generates a file to use as a stream""" filepath = os.path.abspath( os.path.join(os.path.dirname(__file__), "input", "similar1") ) file_data = ( "--test-file_data-name-%d--" % idx, filepath, "--test-file_data-modname-%d--" % idx, ) return file_data def _gen_file_datas(count=1): return [_gen_file_data(idx) for idx in range(count)] class SequentialTestChecker(BaseChecker): """A checker that does not need to consolidate data across run invocations""" __implements__ = (pylint.interfaces.IRawChecker,) name = "sequential-checker" test_data = "sequential" msgs = { "R9999": ( "Test", "sequential-test-check", "Some helpful text.", ) } def __init__(self, linter, *args, **kwargs): super().__init__(linter, *args, **kwargs) self.data = [] self.linter = linter def process_module(self, _astroid): """Called once per stream/file/astroid object""" # record the number of invocations with the data object record = self.test_data + str(len(self.data)) self.data.append(record) class ExtraSequentialTestChecker(SequentialTestChecker): """A checker that does not need to consolidate data across run invocations""" name = "extra-sequential-checker" test_data = "extra-sequential" class ThirdSequentialTestChecker(SequentialTestChecker): """A checker that does not need to consolidate data across run invocations""" name = "third-sequential-checker" test_data = "third-sequential" class TestCheckParallelFramework: """Tests the check_parallel() function's framework""" def setup_class(self): self._prev_global_linter = pylint.lint.parallel._worker_linter def teardown_class(self): pylint.lint.parallel._worker_linter = self._prev_global_linter def test_worker_initialize(self): linter = PyLinter(reporter=Reporter()) worker_initialize(linter=linter) assert pylint.lint.parallel._worker_linter == linter def test_worker_check_single_file_uninitialised(self): pylint.lint.parallel._worker_linter = None with pytest.raises( # Objects that do not match the linter interface will fail AttributeError, match="'NoneType' object has no attribute 'open'" ): worker_check_single_file(_gen_file_data()) def test_worker_check_single_file_no_checkers(self): linter = PyLinter(reporter=Reporter()) worker_initialize(linter=linter) ( _, # proc-id name, _, # file_path _, # base_name msgs, stats, msg_status, _, # mapreduce_data ) = worker_check_single_file(_gen_file_data()) assert name == "--test-file_data-name-0--" assert [] == msgs no_errors_status = 0 assert no_errors_status == msg_status assert { "by_module": { "--test-file_data-name-0--": { "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } }, "by_msg": {}, "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } == stats def test_worker_check_sequential_checker(self): """Same as test_worker_check_single_file_no_checkers with SequentialTestChecker""" linter = PyLinter(reporter=Reporter()) worker_initialize(linter=linter) # Add the only checker we care about in this test linter.register_checker(SequentialTestChecker(linter)) ( _, # proc-id name, _, # file_path _, # base_name msgs, stats, msg_status, _, # mapreduce_data ) = worker_check_single_file(_gen_file_data()) # Ensure we return the same data as the single_file_no_checkers test assert name == "--test-file_data-name-0--" assert [] == msgs no_errors_status = 0 assert no_errors_status == msg_status assert { "by_module": { "--test-file_data-name-0--": { "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } }, "by_msg": {}, "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } == stats class TestCheckParallel: """Tests the check_parallel() function""" def test_sequential_checkers_work(self): """Tests original basic types of checker works as expected in -jN This means that a sequential checker should return the same data for a given file-stream irrespective of whether its run in -j1 or -jN """ linter = PyLinter(reporter=Reporter()) # Add a sequential checker to ensure it records data against some streams linter.register_checker(SequentialTestChecker(linter)) linter.enable("R9999") # Create a dummy file, the actual contents of which will be ignored by the # register test checkers, but it will trigger at least a single-job to be run. single_file_container = _gen_file_datas(count=1) # Invoke the lint process in a multiprocess way, although we only specify one # job. check_parallel(linter, jobs=1, files=single_file_container, arguments=None) assert len(linter.get_checkers()) == 2, ( "We should only have the 'master' and 'sequential-checker' " "checkers registered" ) assert { "by_module": { "--test-file_data-name-0--": { "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } }, "by_msg": {}, "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } == linter.stats # now run the regular mode of checking files and check that, in this proc, we # collect the right data filepath = single_file_container[0][1] # get the filepath element linter.check(filepath) assert { "by_module": { "input.similar1": { # module is the only change from previous "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } }, "by_msg": {}, "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } == linter.stats def test_invoke_single_job(self): """Tests basic checkers functionality using just a single workderdo This is *not* the same -j1 and does not happen under normal operation""" linter = PyLinter(reporter=Reporter()) linter.register_checker(SequentialTestChecker(linter)) # Create a dummy file, the actual contents of which will be ignored by the # register test checkers, but it will trigger at least a single-job to be run. single_file_container = _gen_file_datas(count=1) # Invoke the lint process in a multiprocess way, although we only specify one # job. check_parallel(linter, jobs=1, files=single_file_container, arguments=None) assert { "by_module": { "--test-file_data-name-0--": { "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } }, "by_msg": collections.Counter(), "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } == linter.stats assert linter.msg_status == 0, "We expect a single-file check to exit cleanly" @pytest.mark.parametrize( "num_files,num_jobs,num_checkers", [ (1, 2, 1), (1, 2, 2), (1, 2, 3), (2, 2, 1), (2, 2, 2), (2, 2, 3), (3, 2, 1), (3, 2, 2), (3, 2, 3), (3, 1, 1), (3, 1, 2), (3, 1, 3), (3, 5, 1), (3, 5, 2), (3, 5, 3), (10, 2, 1), (10, 2, 2), (10, 2, 3), (2, 10, 1), (2, 10, 2), (2, 10, 3), ], ) def test_compare_workers_to_single_proc(self, num_files, num_jobs, num_checkers): """Compares the 3 key parameters for check_parallel() produces the same results The intent here is to ensure that the check_parallel() operates on each file, without ordering issues, irrespective of the number of workers used and the number of checkers applied. This test becomes more important if we want to change how we parametrise the checkers, for example if we aim to batch the files across jobs.""" # define the stats we expect to get back from the runs, these should only vary # with the number of files. expected_stats = { "by_module": { "--test-file_data-name-%d--" % idx: { "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18, "warning": 0, } for idx in range(num_files) }, "by_msg": {}, "convention": 0, "error": 0, "fatal": 0, "info": 0, "refactor": 0, "statement": 18 * num_files, "warning": 0, } file_infos = _gen_file_datas(num_files) # Loop for single-proc and mult-proc so we can ensure the same linter-config for do_single_proc in range(2): linter = PyLinter(reporter=Reporter()) # Assign between 1 and 3 checkers to the linter, they should not change the # results of the lint linter.register_checker(SequentialTestChecker(linter)) if num_checkers > 1: linter.register_checker(ExtraSequentialTestChecker(linter)) if num_checkers > 2: linter.register_checker(ThirdSequentialTestChecker(linter)) if do_single_proc: # establish the baseline assert ( linter.config.jobs == 1 ), "jobs>1 are ignored when calling _check_files" linter._check_files(linter.get_ast, file_infos) assert linter.msg_status == 0, "We should not fail the lint" stats_single_proc = linter.stats else: check_parallel( linter, jobs=num_jobs, files=file_infos, arguments=None, ) stats_check_parallel = linter.stats assert linter.msg_status == 0, "We should not fail the lint" assert ( stats_single_proc == stats_check_parallel ), "Single-proc and check_parallel() should return the same thing" assert ( stats_check_parallel == expected_stats ), "The lint is returning unexpected results, has something changed?"