mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
97 lines
3.1 KiB
Python
97 lines
3.1 KiB
Python
|
import json
|
||
|
import os.path
|
||
|
|
||
|
import filelock
|
||
|
|
||
|
from modules.paths import data_path, script_path
|
||
|
|
||
|
cache_filename = os.path.join(data_path, "cache.json")
|
||
|
cache_data = None
|
||
|
|
||
|
|
||
|
def dump_cache():
|
||
|
"""
|
||
|
Saves all cache data to a file.
|
||
|
"""
|
||
|
|
||
|
with filelock.FileLock(f"{cache_filename}.lock"):
|
||
|
with open(cache_filename, "w", encoding="utf8") as file:
|
||
|
json.dump(cache_data, file, indent=4)
|
||
|
|
||
|
|
||
|
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 filelock.FileLock(f"{cache_filename}.lock"):
|
||
|
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 = existing_cache[title].get("mtime", 0)
|
||
|
if ondisk_mtime > cached_mtime:
|
||
|
entry = None
|
||
|
|
||
|
if not entry:
|
||
|
entry = func()
|
||
|
if entry is None:
|
||
|
return None
|
||
|
|
||
|
entry['mtime'] = ondisk_mtime
|
||
|
existing_cache[title] = entry
|
||
|
|
||
|
dump_cache()
|
||
|
|
||
|
return entry
|