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- import json
- import os.path
- import threading
- import time
- from modules.paths import data_path, script_path
- cache_filename = os.path.join(data_path, "cache.json")
- cache_data = None
- cache_lock = threading.Lock()
- dump_cache_after = None
- dump_cache_thread = None
- def dump_cache():
- """
- Marks cache for writing to disk. 5 seconds after no one else flags the cache for writing, it is written.
- """
- global dump_cache_after
- global dump_cache_thread
- def thread_func():
- global dump_cache_after
- global dump_cache_thread
- while dump_cache_after is not None and time.time() < dump_cache_after:
- time.sleep(1)
- with cache_lock:
- with open(cache_filename, "w", encoding="utf8") as file:
- json.dump(cache_data, file, indent=4)
- dump_cache_after = None
- dump_cache_thread = None
- with cache_lock:
- dump_cache_after = time.time() + 5
- if dump_cache_thread is None:
- dump_cache_thread = threading.Thread(name='cache-writer', target=thread_func)
- dump_cache_thread.start()
- def cache(subsection):
- """
- Retrieves or initializes a cache for a specific subsection.
- Parameters:
- subsection (str): The subsection identifier for the cache.
- Returns:
- dict: The cache data for the specified subsection.
- """
- global cache_data
- if cache_data is None:
- with cache_lock:
- if cache_data is None:
- if not os.path.isfile(cache_filename):
- cache_data = {}
- else:
- try:
- with open(cache_filename, "r", encoding="utf8") as file:
- cache_data = json.load(file)
- except Exception:
- os.replace(cache_filename, os.path.join(script_path, "tmp", "cache.json"))
- print('[ERROR] issue occurred while trying to read cache.json, move current cache to tmp/cache.json and create new cache')
- cache_data = {}
- s = cache_data.get(subsection, {})
- cache_data[subsection] = s
- return s
- 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']
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