| import json |
| import logging |
| import sys |
| import os |
| |
| from webkitpy.benchmark_runner.benchmark_builder import BenchmarkBuilder |
| from webkitpy.benchmark_runner.benchmark_results import BenchmarkResults |
| from webkitpy.benchmark_runner.browser_driver.browser_driver_factory import BrowserDriverFactory |
| |
| |
| if sys.version_info > (3, 0): |
| def istext(a): |
| return isinstance(a, bytes) or isinstance(a, str) |
| else: |
| def istext(a): |
| return isinstance(a, str) or isinstance(a, unicode) |
| |
| |
| _log = logging.getLogger(__name__) |
| |
| |
| class BenchmarkRunner(object): |
| name = 'benchmark_runner' |
| |
| def __init__(self, plan_file, local_copy, count_override, build_dir, output_file, platform, browser, browser_path, scale_unit=True, show_iteration_values=False, device_id=None, diagnose_dir=None, profile_output_directory=None): |
| try: |
| plan_file = self._find_plan_file(plan_file) |
| with open(plan_file, 'r') as fp: |
| self._plan_name = os.path.split(os.path.splitext(plan_file)[0])[1] |
| self._plan = json.load(fp) |
| if not 'options' in self._plan: |
| self._plan['options'] = {} |
| if local_copy: |
| self._plan['local_copy'] = local_copy |
| if count_override: |
| self._plan['count'] = count_override |
| self._browser_driver = BrowserDriverFactory.create(platform, browser) |
| self._browser_path = browser_path |
| self._build_dir = os.path.abspath(build_dir) if build_dir else None |
| self._diagnose_dir = os.path.abspath(diagnose_dir) if diagnose_dir else None |
| if self._diagnose_dir: |
| os.makedirs(self._diagnose_dir, exist_ok=True) |
| self._output_file = output_file |
| self._scale_unit = scale_unit |
| self._show_iteration_values = show_iteration_values |
| self._config = self._plan.get('config', {}) |
| if device_id: |
| self._config['device_id'] = device_id |
| except IOError as error: |
| _log.error('Can not open plan file: {plan_file} - Error {error}'.format(plan_file=plan_file, error=error)) |
| raise error |
| except ValueError as error: |
| _log.error('Plan file: {plan_file} may not follow JSON format - Error {error}'.format(plan_file=plan_file, error=error)) |
| raise error |
| |
| def _find_plan_file(self, plan_file): |
| if not os.path.exists(plan_file): |
| abs_path = os.path.join(BenchmarkRunner.plan_directory(), plan_file) |
| if os.path.exists(abs_path): |
| return abs_path |
| if not abs_path.endswith('.plan'): |
| abs_path += '.plan' |
| if os.path.exists(abs_path): |
| return abs_path |
| return plan_file |
| |
| @staticmethod |
| def plan_directory(): |
| return os.path.join(os.path.dirname(__file__), 'data/plans') |
| |
| @staticmethod |
| def available_plans(): |
| plans = [os.path.splitext(plan_file)[0] for plan_file in os.listdir(BenchmarkRunner.plan_directory()) if plan_file.endswith(".plan")] |
| return plans |
| |
| def _run_one_test(self, web_root, test_file): |
| raise NotImplementedError('BenchmarkRunner is an abstract class and shouldn\'t be instantiated.') |
| |
| def _run_benchmark(self, count, web_root): |
| results = [] |
| debug_outputs = [] |
| try: |
| self._browser_driver.prepare_initial_env(self._config) |
| for iteration in range(1, count + 1): |
| _log.info('Start the iteration {current_iteration} of {iterations} for current benchmark'.format(current_iteration=iteration, iterations=count)) |
| try: |
| self._browser_driver.prepare_env(self._config) |
| |
| if 'entry_point' in self._plan: |
| result = self._run_one_test(web_root, self._plan['entry_point']) |
| debug_outputs.append(result.pop('debugOutput', None)) |
| assert(result) |
| results.append(result) |
| elif 'test_files' in self._plan: |
| run_result = {} |
| for test in self._plan['test_files']: |
| result = self._run_one_test(web_root, test) |
| assert(result) |
| run_result = self._merge(run_result, result) |
| debug_outputs.append(result.pop('debugOutput', None)) |
| |
| results.append(run_result) |
| else: |
| raise Exception('Plan does not contain entry_point or test_files') |
| |
| finally: |
| self._browser_driver.restore_env() |
| |
| _log.info('End the iteration {current_iteration} of {iterations} for current benchmark'.format(current_iteration=iteration, iterations=count)) |
| finally: |
| self._browser_driver.restore_env_after_all_testing() |
| |
| results = self._wrap(results) |
| output_file = self._output_file if self._output_file else self._plan['output_file'] |
| self._dump(self._merge({'debugOutput': debug_outputs}, results), output_file) |
| self.show_results(results, self._scale_unit, self._show_iteration_values) |
| |
| def execute(self): |
| with BenchmarkBuilder(self._plan_name, self._plan, self.name) as web_root: |
| self._run_benchmark(int(self._plan['count']), web_root) |
| |
| @classmethod |
| def _dump(cls, results, output_file): |
| _log.info('Dumping the results to file {output_file}'.format(output_file=output_file)) |
| try: |
| with open(output_file, 'w') as fp: |
| json.dump(results, fp) |
| except IOError as error: |
| _log.error('Cannot open output file: {output_file} - Error: {error}'.format(output_file=output_file, error=error)) |
| _log.error('Results are:\n {result}'.format(result=json.dumps(results))) |
| |
| @classmethod |
| def _wrap(cls, dicts): |
| _log.debug('Merging following results:\n{results}'.format(results=json.dumps(dicts))) |
| if not dicts: |
| return None |
| ret = {} |
| for dic in dicts: |
| ret = cls._merge(ret, dic) |
| _log.debug('Results after merging:\n{result}'.format(result=json.dumps(ret))) |
| return ret |
| |
| @classmethod |
| def _merge(cls, a, b): |
| assert(isinstance(a, type(b))) |
| arg_type = type(a) |
| # special handle for list type, and should be handle before equal check |
| if arg_type == list and len(a) and istext(a[0]): |
| return a |
| if arg_type == dict: |
| result = {} |
| for key, value in list(a.items()): |
| if key in b: |
| result[key] = cls._merge(value, b[key]) |
| else: |
| result[key] = value |
| for key, value in list(b.items()): |
| if key not in result: |
| result[key] = value |
| return result |
| # for other types |
| return a + b |
| |
| @classmethod |
| def show_results(cls, results, scale_unit=True, show_iteration_values=False): |
| results = BenchmarkResults(results) |
| print(results.format(scale_unit, show_iteration_values)) |
