def _organize_from_disk(self): """Organize lineage objs from disk.""" if self._summary_base_dir is None: return summary_watcher = SummaryWatcher() relative_dirs = summary_watcher.list_summary_directories( summary_base_dir=self._summary_base_dir) no_lineage_count = 0 for item in relative_dirs: relative_dir = item.get('relative_path') update_time = item.get('update_time') abs_summary_dir = os.path.realpath( os.path.join(self._summary_base_dir, relative_dir)) try: lineage_parser = LineageParser(abs_summary_dir, update_time) super_lineage_obj = lineage_parser.super_lineage_obj if super_lineage_obj is not None: self._super_lineage_objs.update( {abs_summary_dir: super_lineage_obj}) except LineageFileNotFoundError: no_lineage_count += 1 if no_lineage_count == len(relative_dirs): logger.info('There is no summary log file under summary_base_dir.') raise LineageFileNotFoundError( 'There is no summary log file under summary_base_dir.')
def get_latest_lineage_summaries(summary_base_dir): """ Get all latest lineage summary logs in summary base dir. Args: summary_base_dir (str): Summary base dir. Returns: list[str], all latest lineage summary logs in summary base dir. The lineage summary log is absolute path. """ summary_watcher = SummaryWatcher() relative_dirs = summary_watcher.list_summary_directories( summary_base_dir=summary_base_dir) latest_summaries = [] for item in relative_dirs: relative_dir = item.get('relative_path') summaries = summary_watcher.list_summaries( summary_base_dir=summary_base_dir, relative_path=relative_dir) latest_file_name = SummaryPathParser._get_latest_lineage_file( summaries) if latest_file_name is None: continue latest_file = os.path.realpath( os.path.join(summary_base_dir, relative_dir, latest_file_name)) latest_summaries.append(latest_file) return latest_summaries
def test_list_summary_directories_with_overall_on(self): """Test list_summary_directories method success.""" summary_base_dir = tempfile.mkdtemp(dir=self.base_dir) file_count = 10 directory_count = 10 gen_directories_and_files(summary_base_dir, file_count, directory_count) summary_watcher = SummaryWatcher() directories = summary_watcher.list_summary_directories(summary_base_dir, overall=True) expected_directory_count = directory_count + 1 assert len(directories) == min(expected_directory_count, SummaryWatcher.MAX_SUMMARY_DIR_COUNT) shutil.rmtree(summary_base_dir)
def get_summary_dirs(summary_base_dir): """ Get summary dirs according to summary base dir. Args: summary_base_dir (str): Summary base dir. Returns: list[str], all summary dirs in summary base dir. The summary dir is absolute path. """ summary_watcher = SummaryWatcher() relative_dirs = summary_watcher.list_summary_directories( summary_base_dir=summary_base_dir) summary_dirs = list( map( lambda item: os.path.realpath( os.path.join(summary_base_dir, item.get('relative_path'))), relative_dirs)) return summary_dirs
class _BriefCacheManager(_BaseCacheManager): """A cache manager that holds all disk train jobs on disk.""" def __init__(self, summary_base_dir): super(_BriefCacheManager, self).__init__(summary_base_dir) self._summary_watcher = SummaryWatcher() def cache_train_job(self, train_id): """ Cache given train job. All disk train jobs are cached on every reload, so this method always return false. Args: train_id (str): Train Id. """ if train_id in self._cache_items: self._cache_items[train_id].update_access_time() return False def update_cache(self, executor): """Update cache.""" logger.info('Start to update BriefCacheManager.') summaries_info = self._summary_watcher.list_summary_directories( self._summary_base_dir) basic_train_jobs = [] for info in summaries_info: basic_train_jobs.append( _BasicTrainJob(abs_summary_base_dir=self._summary_base_dir, entry=info)) with self._lock: new_cache_items = self._merge_with_disk(basic_train_jobs) self._cache_items = new_cache_items for updater in self._updaters.values(): for cache_item in self._cache_items.values(): updater.update_item(cache_item) def _merge_with_disk(self, disk_train_jobs: Iterable[_BasicTrainJob]): """ Merge train jobs in cache with train jobs from disk This method will remove train jobs not on disk. Call this function with lock for thread safety. Args: disk_train_jobs (Iterable[_BasicTrainJob]): Basic train jobs info from disk. Returns: dict, a dict containing train jobs to be cached. """ new_cache_items = {} for train_job in disk_train_jobs: if train_job.train_id not in self._cache_items: new_cache_items[train_job.train_id] = CachedTrainJob(train_job) else: reused_train_job = self._cache_items[train_job.train_id] reused_train_job.basic_info = train_job new_cache_items[train_job.train_id] = reused_train_job return new_cache_items def register_folder_analyzer(self, analyzer): """Register folder analyzer.""" self._summary_watcher.register_folder_analyzer(analyzer) @property def cache_items(self): """Get cache items.""" return self._cache_items
class DataLoaderGenerator(LoaderGenerator): """ DataLoaderGenerator generate a loader_dict of loader from summary logs. Each loader helps deal the data of the events. It helps DataManager to generate loaders. """ def __init__(self, summary_path): """ Init DataLoaderGenerator. Args: summary_path (str): A directory path, e.g. '/data/ImageNet/'. """ self._summary_path = self._check_and_normalize_summary_path( summary_path) self._summary_watcher = SummaryWatcher() def _check_and_normalize_summary_path(self, summary_path): """ Check and normalize summary path. Args: summary_path (str): A directory path, e.g. '/data/ImageNet/'. Returns: str, normalized summary path. """ if summary_path is None: logger.warning( "Summary path is None. It will not init data loader generator." ) raise ParamValueError("Summary path is None.") summary_path = os.path.realpath(summary_path) return summary_path def generate_loaders(self, loader_pool): """ Generate loader from summary path, if summary path is empty, will return empty list. Args: loader_pool (dict[str, LoaderStruct]): Current loader pool in data_manager. Returns: dict[str, LoaderStruct], a dict of `Loader`. """ loader_dict = {} if not FileHandler.exists(self._summary_path): logger.warning( "Summary path does not exist. It will not start loading events data. " "Current path is %r.", self._summary_path) return loader_dict dir_map_mtime_dict = {} min_modify_time = None summaries_info = self._summary_watcher.list_summary_directories( self._summary_path) for item in summaries_info: relative_path = item.get("relative_path") current_dir = FileHandler.join(self._summary_path, relative_path) dataloader = DataLoader(current_dir) if not dataloader.has_valid_files(): logger.debug( "Can not find valid train log file in folder %s , " "will ignore.", relative_path) continue modify_time = item.get("update_time").timestamp() # if loader exists in loader pool and newer time, update its time loader_id = self._generate_loader_id(relative_path) loader = loader_pool.get(loader_id) if loader is not None and loader.latest_update_time > modify_time: modify_time = loader.latest_update_time if not min_modify_time: # The first load, init min modify time min_modify_time = modify_time # We need to find `MAX_DATA_LOADER_SIZE` newly modified folders. if len(dir_map_mtime_dict) < MAX_DATA_LOADER_SIZE: if modify_time < min_modify_time: min_modify_time = modify_time dir_map_mtime_dict.update({relative_path: modify_time}) else: if modify_time >= min_modify_time: dir_map_mtime_dict.update({relative_path: modify_time}) sorted_dir_tuple = sorted(dir_map_mtime_dict.items(), key=lambda d: d[1])[-MAX_DATA_LOADER_SIZE:] for relative_path, modify_time in sorted_dir_tuple: loader_id = self._generate_loader_id(relative_path) loader = self._generate_loader_by_relative_path(relative_path) loader_dict.update({loader_id: loader}) return loader_dict def _generate_loader_by_relative_path(self, relative_path): """ Generate loader by relative path. Args: relative_path (str): Relative path of a summary directory, e.g. './log1'. Returns: dict[str, LoaderStruct], a dict of `Loader`. """ current_dir = os.path.realpath( FileHandler.join(self._summary_path, relative_path)) data_loader = DataLoader(current_dir) loader_id = self._generate_loader_id(relative_path) loader = LoaderStruct( loader_id=loader_id, name=self._generate_loader_name(relative_path), path=current_dir, latest_update_time=FileHandler.file_stat(current_dir).mtime, data_loader=data_loader) return loader def _generate_loader_id(self, relative_path): """ Generate loader id from relative path. Args: relative_path (str): Relative path of a summary directory, e.g. './log1'. Returns: str, loader_id for `Loader`. """ loader_id = relative_path return loader_id def _generate_loader_name(self, relative_path): """ Generate loader name from relative path. Args: relative_path (str): Relative path of a summary directory, e.g. './log1'. Returns: str, loader_name for `Loader`. """ loader_name = relative_path return loader_name def _get_relative_path_from_train_id(self, train_id): """ Get relative from train_id. Args: train_id (str): Train ID of a summary directory, e.g. './log1'. Returns: str, relative path of `Loader`. """ relative_path = train_id return relative_path def check_train_job_exist(self, train_id): """ Check if train job exists. Args: train_id (str): Train ID of a summary directory, e.g. './log1'. Returns: bool, if train job exists, return True. """ if not self._is_train_id_valid(train_id): return False relative_path = self._get_relative_path_from_train_id(train_id) if self._summary_watcher.is_summary_directory(self._summary_path, relative_path): return True return False def _is_train_id_valid(self, train_id): """ Check if train_id is valid. Args: train_id (str): Train ID of a summary directory, e.g. './log1'. Returns: bool, if train id is valid, return True. """ if not train_id.startswith('./'): logger.warning("The train_id does not start with './'.") return False if len(train_id.split("/")) > 2: logger.warning("The train_id contains multiple '/'.") return False return True def generate_loader_by_train_id(self, train_id): """ Generate loader by train_id. Args: train_id (str): Train ID of a summary directory, e.g. './log1'. Returns: dict[str, LoaderStruct], a dict of `Loader`. """ relative_path = self._get_relative_path_from_train_id(train_id) loader = self._generate_loader_by_relative_path(relative_path) return loader