import json import os import os.path import threading import diskcache import tqdm from modules.paths import data_path, script_path cache_filename = os.environ.get('SD_WEBUI_CACHE_FILE', os.path.join(data_path, "cache.json")) cache_dir = os.environ.get('SD_WEBUI_CACHE_DIR', os.path.join(data_path, "cache")) caches = {} cache_lock = threading.Lock() def dump_cache(): """old function for dumping cache to disk; does nothing since diskcache.""" pass def make_cache(subsection: str) -> diskcache.Cache: return diskcache.Cache( os.path.join(cache_dir, subsection), size_limit=2**32, # 4 GB, culling oldest first disk_min_file_size=2**18, # keep up to 256KB in Sqlite ) def convert_old_cached_data(): try: with open(cache_filename, "r", encoding="utf8") as file: data = json.load(file) except FileNotFoundError: return except Exception: os.replace(cache_filename, os.path.join(script_path, "tmp", "cache.json")) print('[ERROR] issue occurred while trying to read cache.json; old cache has been moved to tmp/cache.json') return total_count = sum(len(keyvalues) for keyvalues in data.values()) with tqdm.tqdm(total=total_count, desc="converting cache") as progress: for subsection, keyvalues in data.items(): cache_obj = caches.get(subsection) if cache_obj is None: cache_obj = make_cache(subsection) caches[subsection] = cache_obj for key, value in keyvalues.items(): cache_obj[key] = value progress.update(1) def cache(subsection): """ Retrieves or initializes a cache for a specific subsection. Parameters: subsection (str): The subsection identifier for the cache. Returns: diskcache.Cache: The cache data for the specified subsection. """ cache_obj = caches.get(subsection) if not cache_obj: with cache_lock: if not os.path.exists(cache_dir) and os.path.isfile(cache_filename): convert_old_cached_data() cache_obj = caches.get(subsection) if not cache_obj: cache_obj = make_cache(subsection) caches[subsection] = cache_obj return cache_obj def cached_data_for_file(subsection, title, filename, func): """ Retrieves or generates data for a specific file, using a caching mechanism. Parameters: subsection (str): The subsection of the cache to use. title (str): The title of the data entry in the subsection of the cache. filename (str): The path to the file to be checked for modifications. func (callable): A function that generates the data if it is not available in the cache. Returns: dict or None: The cached or generated data, or None if data generation fails. The `cached_data_for_file` function implements a caching mechanism for data stored in files. It checks if the data associated with the given `title` is present in the cache and compares the modification time of the file with the cached modification time. If the file has been modified, the cache is considered invalid and the data is regenerated using the provided `func`. Otherwise, the cached data is returned. If the data generation fails, None is returned to indicate the failure. Otherwise, the generated or cached data is returned as a dictionary. """ existing_cache = cache(subsection) ondisk_mtime = os.path.getmtime(filename) entry = existing_cache.get(title) if entry: cached_mtime = entry.get("mtime", 0) if ondisk_mtime > cached_mtime: entry = None if not entry or 'value' not in entry: value = func() if value is None: return None entry = {'mtime': ondisk_mtime, 'value': value} existing_cache[title] = entry dump_cache() return entry['value']