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Updated kodi settings on Lenovo

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Kim Brian Ramberg
2026-03-22 22:28:43 +01:00
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# script.module.simplecache
[![Codacy Badge](https://api.codacy.com/project/badge/Grade/5e223503667f4a35a791d140f2cb6285)](https://www.codacy.com/app/m-vanderveldt/script-module-simplecache?utm_source=github.com&utm_medium=referral&utm_content=marcelveldt/script.module.simplecache&utm_campaign=badger)
A simple object cache for Kodi addons
## Help needed with maintaining !
I am very busy currently so I do not have a lot of time to work on this project or watch the forums.
Be aware that this is a community driven project, so feel free to submit PR's yourself to improve the code and/or help others with support on the forums etc. If you're willing to really participate in the development, please contact me so I can give you write access to the repo. I do my best to maintain the project every once in a while, when I have some spare time left.
Thanks for understanding!
## Usage
You can use this python library as module within your own Kodi scripts/addons.
Just make sure to import it within your addon.xml:
```xml
<requires>
<import addon="script.module.simplecache" version="1.0.14" />
</requires>
```
Now, to use it in your Kodi addon/script, make sure to import it and you can access its methods.
```python
import simplecache
# instantiate the cache
_cache = simplecache.SimpleCache()
# get data from cache
mycache = _cache.get("MyAddon.MyChunkOfData")
if mycache:
my_objects = mycache
else:
# do stuff here
my_objects = mymethod()
# write results in cache
_cache.set( "MyAddon.MyChunkOfData", my_objects, expiration=datetime.timedelta(hours=12))
```
The above example will check the cache for the key "MyAddon.MyChunkOfData". If there is any data (and the cache is not expired) it will be returned as the original object.
If the cache is empty, you perform the usual stuff to get the data and save that to the cache
---------------------------------------------------------------------------
## Available methods
### get(endpoint, checksum="", json=False)
```
Returns the data from the cache for the specified endpoint. Will return None if there is no cache.
parameters:
endpoint --> Your unique reference/key for the cache object. TIP: To prevent clashes with other addons, prefix with your addon ID.
checksum --> Optional argument to check for a checksum in the file (Will only work if you store the checksum with the set method). Can be any python object which can be serialized with eval.
json --> Optional argument. Default is False. For JSON data it is recommended to switch it to True to avoid Memomy Error exceptions or other issues. If you set the global "data_is_json" bool to True, it will always handle your data as JSON.
Example: _cache.get("MyAddon.MyChunkOfData", checksum=len(myvideos))
This example will return the data in the cache but only if the length of the list myvideos is the same as whatever is stored as checksum in the cache.
```
### set(endpoint, data, checksum="", expiration=timedelta(days=30), json=False)
```
Stores the data in the cache for the specified endpoint.
parameters:
endpoint --> Your unique reference/key for the cache object. TIP: To prevent clashes with other addons, prefix with your addon ID.
data --> Your objectdata. Can be any python object which can be serialized with eval.
checksum --> Optional argument to store as checksum in the file. Can be any python object which can be serialized with eval.
expiration --> Optional argument to specify the amount of time the data may be cached as python timedelta object. Defaults to 30 days if ommitted.
json --> Optional argument. Default is False. For JSON data it is recommended to switch it to True to avoid Memomy Error exceptions or other issues. If you set the global "data_is_json" bool to True, it will always handle your data as JSON.
Example: _cache.set("MyAddon.MyGreatChunkOfData", my_objects, checksum=len(myvideos), expiration=timedelta(hours=1))
This example will store the data in the cache which will expire after 1 hours. Additionally a checksum is stored in the cache object.
```
## Notes
1) By default objects will be stored both in memory and on disk, it is however possible to override that:
```
_cache.enable_mem_cache = False
```
In that case, objects will only be stored on disk (database)
2) Cache objects are auto cleaned from memory after 2 hours to prevent unused objects loaded in memory.
3) Cache objects on disk are stored in a self-maintaining sqllite database. Expired objects will be auto cleaned from the database.
4) If your data is only JSON you can set a global bool to handle all input/ouput requests as JSON. This is recommended to avoid problems and issues on slower devices.
```
_cache.data_is_json = True
```

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<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<addon id="script.module.simplecache" name="Simple Cache Module" version="2.0.2" provider-name="sualfred">
<requires>
<import addon="xbmc.python" version="3.0.0"/>
</requires>
<extension point="xbmc.python.module" library="lib" />
<extension point="xbmc.addon.metadata">
<summary lang="en_GB">Provides a simple file- and memory based cache for Kodi addons</summary>
<description lang="en_GB">Provides a simple file- and memory based cache for Kodi addons. Based on the original work of Marcelveldt.</description>
<platform>all</platform>
<license>Apache 2.0</license>
<forum/>
<source>https://github.com/sualfred/script.module.simplecache</source>
<assets>
<icon>resources/icon.png</icon>
</assets>
</extension>
</addon>

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#!/usr/bin/python
# -*- coding: utf-8 -*-
'''provides a simple stateless caching system for Kodi addons and plugins'''
import sys
import xbmcvfs
import xbmcgui
import xbmc
import xbmcaddon
import datetime
import time
import sqlite3
import json
from functools import reduce
ADDON_ID = "script.module.simplecache"
class SimpleCache(object):
'''simple stateless caching system for Kodi'''
enable_mem_cache = True
data_is_json = False
global_checksum = None
_exit = False
_auto_clean_interval = datetime.timedelta(hours=4)
_win = None
_busy_tasks = []
_database = None
def __init__(self):
'''Initialize our caching class'''
self._win = xbmcgui.Window(10000)
self._monitor = xbmc.Monitor()
self.check_cleanup()
self._log_msg("Initialized")
def close(self):
'''tell any tasks to stop immediately (as we can be called multithreaded) and cleanup objects'''
self._exit = True
# wait for all tasks to complete
while self._busy_tasks and not self._monitor.abortRequested():
xbmc.sleep(25)
del self._win
del self._monitor
self._log_msg("Closed")
def __del__(self):
'''make sure close is called'''
if not self._exit:
self.close()
def get(self, endpoint, checksum="", json_data=False):
'''
get object from cache and return the results
endpoint: the (unique) name of the cache object as reference
checkum: optional argument to check if the checksum in the cacheobject matches the checkum provided
'''
checksum = self._get_checksum(checksum)
cur_time = self._get_timestamp(datetime.datetime.now())
result = None
# 1: try memory cache first
if self.enable_mem_cache:
result = self._get_mem_cache(endpoint, checksum, cur_time, json_data)
# 2: fallback to _database cache
if result is None:
result = self._get_db_cache(endpoint, checksum, cur_time, json_data)
return result
def set(self, endpoint, data, checksum="", expiration=datetime.timedelta(days=30), json_data=False):
'''
set data in cache
'''
task_name = "set.%s" % endpoint
self._busy_tasks.append(task_name)
checksum = self._get_checksum(checksum)
expires = self._get_timestamp(datetime.datetime.now() + expiration)
# memory cache: write to window property
if self.enable_mem_cache and not self._exit:
self._set_mem_cache(endpoint, checksum, expires, data, json_data)
# db cache
if not self._exit:
self._set_db_cache(endpoint, checksum, expires, data, json_data)
# remove this task from list
self._busy_tasks.remove(task_name)
def check_cleanup(self):
'''check if cleanup is needed - public method, may be called by calling addon'''
cur_time = datetime.datetime.now()
lastexecuted = self._win.getProperty("simplecache.clean.lastexecuted")
if not lastexecuted:
self._win.setProperty("simplecache.clean.lastexecuted", repr(cur_time))
elif (eval(lastexecuted) + self._auto_clean_interval) < cur_time:
# cleanup needed...
self._do_cleanup()
def _get_mem_cache(self, endpoint, checksum, cur_time, json_data):
'''
get cache data from memory cache
we use window properties because we need to be stateless
'''
result = None
cachedata = self._win.getProperty(endpoint)
if cachedata:
if json_data or self.data_is_json:
cachedata = json.loads(cachedata)
else:
cachedata = eval(cachedata)
if cachedata[0] > cur_time:
if not checksum or checksum == cachedata[2]:
result = cachedata[1]
return result
def _set_mem_cache(self, endpoint, checksum, expires, data, json_data):
'''
window property cache as alternative for memory cache
usefull for (stateless) plugins
'''
cachedata = (expires, data, checksum)
if json_data or self.data_is_json:
cachedata_str = json.dumps(cachedata)
else:
cachedata_str = repr(cachedata)
self._win.setProperty(endpoint, cachedata_str)
def _get_db_cache(self, endpoint, checksum, cur_time, json_data):
'''get cache data from sqllite _database'''
result = None
query = "SELECT expires, data, checksum FROM simplecache WHERE id = ?"
cache_data = self._execute_sql(query, (endpoint,))
if cache_data:
cache_data = cache_data.fetchone()
if cache_data and cache_data[0] > cur_time:
if not checksum or cache_data[2] == checksum:
if json_data or self.data_is_json:
result = json.loads(cache_data[1])
else:
result = eval(cache_data[1])
# also set result in memory cache for further access
if self.enable_mem_cache:
self._set_mem_cache(endpoint, checksum, cache_data[0], result, json_data)
return result
def _set_db_cache(self, endpoint, checksum, expires, data, json_data):
''' store cache data in _database '''
query = "INSERT OR REPLACE INTO simplecache( id, expires, data, checksum) VALUES (?, ?, ?, ?)"
if json_data or self.data_is_json:
data = json.dumps(data)
else:
data = repr(data)
self._execute_sql(query, (endpoint, expires, data, checksum))
def _do_cleanup(self):
'''perform cleanup task'''
if self._exit or self._monitor.abortRequested():
return
self._busy_tasks.append(__name__)
cur_time = datetime.datetime.now()
cur_timestamp = self._get_timestamp(cur_time)
self._log_msg("Running cleanup...")
if self._win.getProperty("simplecachecleanbusy"):
return
self._win.setProperty("simplecachecleanbusy", "busy")
query = "SELECT id, expires FROM simplecache"
for cache_data in self._execute_sql(query).fetchall():
cache_id = cache_data[0]
cache_expires = cache_data[1]
if self._exit or self._monitor.abortRequested():
return
# always cleanup all memory objects on each interval
self._win.clearProperty(cache_id)
# clean up db cache object only if expired
if cache_expires < cur_timestamp:
query = 'DELETE FROM simplecache WHERE id = ?'
self._execute_sql(query, (cache_id,))
self._log_msg("delete from db %s" % cache_id)
# compact db
self._execute_sql("VACUUM")
# remove task from list
self._busy_tasks.remove(__name__)
self._win.setProperty("simplecache.clean.lastexecuted", repr(cur_time))
self._win.clearProperty("simplecachecleanbusy")
self._log_msg("Auto cleanup done")
def _get_database(self):
'''get reference to our sqllite _database - performs basic integrity check'''
addon = xbmcaddon.Addon(ADDON_ID)
dbpath = addon.getAddonInfo('profile')
dbfile = xbmcvfs.translatePath("%s/simplecache.db" % dbpath)
if not xbmcvfs.exists(dbpath):
xbmcvfs.mkdirs(dbpath)
del addon
try:
connection = sqlite3.connect(dbfile, timeout=30, isolation_level=None)
connection.execute('SELECT * FROM simplecache LIMIT 1')
return connection
except Exception as error:
# our _database is corrupt or doesn't exist yet, we simply try to recreate it
if xbmcvfs.exists(dbfile):
xbmcvfs.delete(dbfile)
try:
connection = sqlite3.connect(dbfile, timeout=30, isolation_level=None)
connection.execute(
"""CREATE TABLE IF NOT EXISTS simplecache(
id TEXT UNIQUE, expires INTEGER, data TEXT, checksum INTEGER)""")
return connection
except Exception as error:
self._log_msg("Exception while initializing _database: %s" % str(error), xbmc.LOGWARNING)
self.close()
return None
def _execute_sql(self, query, data=None):
'''little wrapper around execute and executemany to just retry a db command if db is locked'''
retries = 0
result = None
error = None
# always use new db object because we need to be sure that data is available for other simplecache instances
with self._get_database() as _database:
while not retries == 10 and not self._monitor.abortRequested():
if self._exit:
return None
try:
if isinstance(data, list):
result = _database.executemany(query, data)
elif data:
result = _database.execute(query, data)
else:
result = _database.execute(query)
return result
except sqlite3.OperationalError as error:
if "_database is locked" in error:
self._log_msg("retrying DB commit...")
retries += 1
self._monitor.waitForAbort(0.5)
else:
break
except Exception as error:
break
self._log_msg("_database ERROR ! -- %s" % str(error), xbmc.LOGWARNING)
return None
@staticmethod
def _log_msg(msg, loglevel=xbmc.LOGDEBUG):
'''helper to send a message to the kodi log'''
xbmc.log("Skin Helper Simplecache --> %s" % msg, level=loglevel)
@staticmethod
def _get_timestamp(date_time):
'''Converts a datetime object to unix timestamp'''
return int(time.mktime(date_time.timetuple()))
def _get_checksum(self, stringinput):
'''get int checksum from string'''
if not stringinput and not self.global_checksum:
return 0
if self.global_checksum:
stringinput = "%s-%s" %(self.global_checksum, stringinput)
else:
stringinput = str(stringinput)
return reduce(lambda x, y: x + y, map(ord, stringinput))
def use_cache(cache_days=14):
'''
wrapper around our simple cache to use as decorator
Usage: define an instance of SimpleCache with name "cache" (self.cache) in your class
Any method that needs caching just add @use_cache as decorator
NOTE: use unnamed arguments for calling the method and named arguments for optional settings
'''
def decorator(func):
'''our decorator'''
def decorated(*args, **kwargs):
'''process the original method and apply caching of the results'''
method_class = args[0]
method_class_name = method_class.__class__.__name__
cache_str = "%s.%s" % (method_class_name, func.__name__)
# cache identifier is based on positional args only
# named args are considered optional and ignored
for item in args[1:]:
cache_str += u".%s" % item
cache_str = cache_str.lower()
cachedata = method_class.cache.get(cache_str)
global_cache_ignore = False
try:
global_cache_ignore = method_class.ignore_cache
except Exception:
pass
if cachedata is not None and not kwargs.get("ignore_cache", False) and not global_cache_ignore:
return cachedata
else:
result = func(*args, **kwargs)
method_class.cache.set(cache_str, result, expiration=datetime.timedelta(days=cache_days))
return result
return decorated
return decorator

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