Spaces:
Runtime error
Runtime error
File size: 4,132 Bytes
6831a54 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 |
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']
|