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persistent_storage
Persistent Storage greatly reduces the API transactions between you and the service(s) you may use. Developers need to enable this but the Apprise CLI has this enabled by default.
For things like:
- The Matrix plugin: persistent cache allows login information to be cached locally for re-use (saving extra API calls to authenticate again each time).
- The Telegram plugin: persistent cache allows Apprise to remember your user account saving extra fetches to the service to determine it each and every time.
Aditional Notes:
- Apprise stores all of it's persistent data in it's own directory unique to the Apprise URL you create. By default all directories are 8 characters in length and a combination of letters an numbers.
- All Apprise persistent files have a
.psdata
extension and are written to a cache directory chosen by you otherwise it defaults to the locations provided by your operating system.
If using the CLI, this data file location used is:
- Microsoft Windows:
%APPDATA%/Apprise/cache
- Linux:
~/.local/share/apprise/cache
All Apprise URLs you define have a URL ID generated against them (uid
). To see what URL ID's have been assigned to your URLs, simply just use the --dry-run
and pair it with --tag=all
to see everything:
# Given the command:
apprise --dry-run --tag=all
The output may look like this:
Once you know the UID, you know the directory your persistent data can be found in. The takeaway from the screenshot above is:
- Some plugins simply do not utilize persistent storage at all (denoted with
- n/a -
). - Reuse of Apprise URLs with the same login credentials share the same UID. It's the same upsream endpoint after all.
You can list the persistent storage by accessing the storage
submention of the apprise cli:
# Given the command:
apprise storage
The output may look like this:
The takeaway from the screenshot above is this is another way of looking at the storage and how it's been assigned to the URLs.
- You can see the grouping of multiple URLs sharing the same storage endpoint is also listed here.
- It will identify the current amount of disk storage you have in use for the given plugin as well
- Any plugin that does not even utilize peristent storage at all, will not show up in this list. In the screenshot before this one you will see
dbus://
where it is not identifiedstorage
results.
The possible disk states are:
-
unused
: The plugin is not occupying any persistent storage on disk -
stale
: At one pint a plugin exists that wrote to a location that is no longer being referenced.- You can clear these entries by simply typing:
apprise storage clean <STALE UID>
- You can clear these entries by simply typing:
-
active
: The plugin contains data written into it's cached location.
The CLI tool has Persistent Storage enabled by default using the operational mode of auto
.
- You can optionally specify
--storage-mode
allowing you to change ths; possibilities areauto
(default),flush
, andmemory
.-
auto
: This is the default option and pesistent storage is used when applicable (only the plugins that require it take advantage of local cache made available to them). -
flush
: Similar toauto
except that any changes made are immediately flushed to disk. This mode creates a higher i/o but enforces the content on disk is the latest. -
memory
: Effectively turns off Persistent storage. No plugins are allowed to write to disk. This is exactly the way Apprise was prior ro the Persistent Storage feature.
-
-
To remove all accumulated persistent storage generated through the CLI tool, you can run the following:
apprise storage clean
-
You can compliment this call by providing URL IDs and/or
--tag
(or-g
) values to focus on only cleaning specific persistently cached data. For example:# Assuming we want to target the URL ID of abc123xy apprise storage clean abc123xy
You can also clear cache based on tag references:
# Assuming we want to target the URL(s) associated with the tag 'family' apprise storage clean --tag family
When developing your plugin, you can access the persistent storage via self.store
. There are 2 main features:
-
Key/Value Entries: This is the easiest as the store behaves very much like a dictionary. But under the hood it is handling the data based on the operational mode. For the most part you can set most types (int, float, etc). Content is flushed to disk using the
json.dumps
call.# Set a key: self.store['keyname'] = 'value' # You can also use store.set() which is useful to set additional parameters (such as an # expiry time) # The 30 is the number of seconds the data is valid for. You can use int/float to set a # time from now. The default is to not expire. # You can also pass in a datetime() object as well if you want to explicitly set a time self.store.set('another-key', 'value', 30) # Verify if your key is set: if 'keyname' in self.store: print('Yup, I found it').
-
Data Files: You may find yourself wanting to write content straight to disk (all files have a
psdata
extension).# write data (no key specified, so the value `default` is used) # You can pass in a string or bytes object. Note that when you read the content back it will be bytes self.store.write(b'my content I wish to write directly to disk') # The below would open up `default.psdata` (which is compressed) and would return what was written above content = self.store.read() # to store custom keys and have the content not be compressed: self.store.write('my-content', key='custom-key', compress=False) # The above wrote the content to `custom-key.psdata` in an uncompressed file. # This is useful for people who want to place files in advance for the persistent storage # to reference. # Make sure to read the file back with the same parameters: content = self.store.read('custom-key', compress=False)
Note: Read/write functions work similar to how
read/write
would otherwise work. If Persistent Storage is disable thenwrite()
will always returnNone
.read()
however will return content if it's present
Here are more examples
class MyNotification(NotifyBase):
# ...
def send(self, body, *args, **kwargs):
# Value is returned from memory if stored there
# if not found, and persistent storage is enabled, then the value is read from disk and stored into memory
# The value is then returned
# `None` is returned if content does not exist in either location
value = self.store.get('key')
# Store key/value pair in memory (and Disk if persistent flag is set)
self.store.set('key', 'value')
#
# Some extra options you can use with the set()
#
# Invalidate the data (forcing get() to return None after time is reached)
self.store.set('key', 'value', expires=datetime(now) + timedelta(hours=1))
# By default persistent will always be set to True, but perhaps you don't want the content to
# persist and only exist for the life of the application instead.
self.store.set('key', 'value', persistent=False)
# Flushes elements to disk if they are configured to persist there; this
# never needs to be called directly as the PersistentStore object looks
# after this automatically. Those set to `auto` (default) mode can
# leverage this to force an early write/sync to disk
self.store.flush()
# The following would both flush the key from memory and persistent
# storage if present.
self.store.clear('key')
# Similar to flush, this works as well to provide a focused group clear
self.store.clear('key1', 'key2', 'key3', ...)
# Remove all entries in memory and all entries in the persistent store
self.store.clear()
# Allow Apprise to persist files outside of key/value pairs as well. Such as maybe
# an initial online registration that occurs and it needs to store a private/public
# key.
with self.store.open("key", "wb") as fp:
fp.write()
with self.store.open("key", "rb") as fp:
content = fp.read()
# To remove all persistent key/value pairs in cache you can do the following
self.store.clear()
# The above is a clear all command: If you only wish to clear specific keys:
self.store.clear('key1', 'key2')
# For consistency with the rest of the above logic:, this would clear a file
# by it's key with delete() instead of 'clear().
self.store.delete('key')
# multiple keys can be cleared if required
self.store.delete('key1', 'key2', 'key3')