def test_sample(self):
        test_meta = self.sample_metadata()
        state_timeline = InsightTimeline(clock=Clock())

        execution_result = ExecutionResult()
        execution_result.run_did_succeed()
        execution_result.state_timeline_did_become_available(state_timeline)
        run = CoverageRun('test1', 1, test_meta, execution_result)
        pprint.pprint(run.as_json())
    def test_sample(self):
        test_meta = TestMetadata('file1', 'test_a', 'module_a',
                                 'module_a:test_a', 'queued')
        state_timeline = InsightTimeline(clock=Clock())

        execution_result = ExecutionResult()
        execution_result.run_did_succeed()
        execution_result.state_timeline_did_become_available(state_timeline)
        run = CoverageRun('test1', 1, test_meta, execution_result)
        pprint(run.as_json())
Exemplo n.º 3
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 def serialize_test_run(self, cov, fqn, time_elapsed, test_metadata,
                        execution_result):
     """
     :type cov: CoverageAbstraction
     :param time_elapsed: float
     :param fqn: str
     """
     run_results = CoverageRun(fqn, time_elapsed, test_metadata,
                               execution_result)
     run_results.store_files_coverage(cov.parse_all_hit_lines())
     return run_results
Exemplo n.º 4
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    async def run(self):
        """
            Here we run multiple tests at once using one or multiple processes
        """
        self.timeline.mark_event('run')
        watchdog_pipeline.add_task(TestExecutionBeginTask(len(self.tests)))
        socket_notification_task = asyncio.ensure_future(
            engine.tests_will_run(self.tests))

        converted_tests = self.get_converted_test_list()
        runner = self.create_test_runner()

        # while not cancelled
        runner_task = asyncio.ensure_future(runner.run(tests=converted_tests))
        run_results_compound = await self.wait_with_cancellation(runner_task)
        if run_results_compound.is_failed():
            failure_reason = self.user_friendly_error_message(
                run_results_compound.status)

            for _ in converted_tests:
                candidate_fqn = _['fqn']
                cov_run = CoverageRun(
                    candidate_fqn,
                    -1,
                    None,
                    execution_result=ExecutionResult.create_failed_with_reason(
                        failure_reason))
                run_results_compound.results[candidate_fqn] = cov_run

        run_results = run_results_compound.results

        self.timeline.mark_event('before tests_did_run')

        # asynchronously send message over websocket
        # Line bellow communicates test statuses as a side effect
        async_tasks_post = [engine.tests_did_run(run_results)]

        self.post_process_combined_coverage(run_results)

        self.timeline.mark_event('Sending: test_run_completed event')
        # todo: i'm only using `filename` in connector, why bother with everything?
        cov_to_send = dict(all_runs=self.convert_result_to_json(run_results))
        async_tasks_post.append(
            shared.pipe.push(
                event_type='test_run_completed',
                coverage=cov_to_send,
                timings=dict(start=self.timestamp, end=clock.now()),
            ))

        self.timeline.mark_event('Started combined coverage serialization')
        serialized = serialize_combined_coverage(combined_coverage)
        self.timeline.mark_event('Completed combined coverage serialization')

        self.timeline.mark_event('Sending: combined coverage over WS')
        async_tasks_post.append(
            shared.pipe.push(
                event_type='combined_coverage_updated',
                combined_coverage=serialized,
                # Todo: why do I need dependencies to be exposed? It is internal state.
                # dependencies=self.build_dependencies(),
                aggregated_results=engine.all_tests.legacy_aggregated_statuses(
                ),
                timings=dict(start=self.timestamp, end=clock.now()),
            ))

        self.timeline.mark_event(
            'Waiting until post-processing tasks are completed')
        await asyncio.gather(*async_tasks_post)
        watchdog_pipeline.add_task(TestExecutionEndTask())

        self.timeline.mark_event('Send: done, stopping timeline')

        self.timeline.stop()
        execution_history.save(self.timeline)
Exemplo n.º 5
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    def run(self, tests):
        self.timeline.mark_event('Run: inside run method')
        from pycrunch.introspection.clock import clock
        from pycrunch.runner.interception import capture_stdout
        from pycrunch.shared.primitives import TestMetadata
        self.timeline.mark_event('Run: inside run method - imports complete')

        results = dict()
        for test_to_run in tests:
            self.timeline.begin_nested_interval(
                f'Running test {test_to_run.get("fqn", "unknown")}')

            # record traced variables
            state_timeline = InsightTimeline(clock=clock)
            state_timeline.start()
            inject_timeline(state_timeline)

            metadata = TestMetadata(**test_to_run)
            try:
                # TODO: Check if starting coverage AFTER pytest.main,
                #    before test_method enter, improves time in magnitudes.
                #  ---
                #    checked, there are 2x improvement for small files (0.06 vs 0.10, but still
                #      slow as before on 500+ tests in one file
                should_disable_coverage = DISABLE_COVERAGE
                if self.child_config.enable_remote_debug:
                    should_disable_coverage = True
                cov = CoverageAbstraction(should_disable_coverage,
                                          self.coverage_exclusions,
                                          self.timeline)
                cov.start()

                with capture_stdout() as get_value:
                    time_start = clock.now()
                    self.timeline.mark_event('About to start test execution')
                    execution_result = self.runner_engine.run_test(metadata)
                    self.timeline.mark_event(
                        'Test execution complete, postprocessing results')
                    time_end = clock.now()
                    time_elapsed = time_end - time_start

                    cov.stop()

                    _now = datetime.datetime.now()

                    print(
                        f'{os.linesep}at {_now.strftime("%X.%f")[:-3]} {_now.strftime("%x")}'
                    )

                    captured_output = get_value()
                    self.timeline.mark_event('Received captured output')

                    execution_result.output_did_become_available(
                        captured_output)
                    execution_result.state_timeline_did_become_available(
                        state_timeline)

                    self.timeline.mark_event('Before coverage serialization')
                    coverage_for_run = self.serialize_test_run(
                        cov,
                        metadata.fqn,
                        time_elapsed,
                        test_metadata=test_to_run,
                        execution_result=execution_result)
                    self.timeline.mark_event('After coverage serialization')
            except Exception as e:
                # Here is most likely exception in the engine itself.
                self.timeline.mark_event('Test execution exception.')
                import sys
                tb = self.get_detailed_traceback(metadata.fqn)
                print(tb, file=sys.__stdout__)
                from pycrunch.api.serializers import CoverageRun
                result = ExecutionResult.create_failed_with_reason(tb)
                # inject fake run to not crash entire pipeline
                coverage_for_run = CoverageRun(metadata.fqn,
                                               -1,
                                               test_to_run,
                                               execution_result=result)

                # logger.exception('error during run', exc_info=e)

            results[metadata.fqn] = coverage_for_run
            self.timeline.end_nested_interval()
        return results