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Client and framework for receiving notifications via NTFY

Project description

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ntfy-client

THIS IS NOT READY YET

https://github.com/iacchus/python-pushover-open-client/blob/main/src/python_pushover_open_client/__init__.py

Command line app and framework for receiving and processing NTFY push notifications in real time.

Features

  • Receive notifications real time via NTFY websocket server.

  • Execute python funcions via commands received by notification, passing arguments as *args.

  • Execute shell commands, passing arguments.

  • Execute python functions to all received notifications (eg.,. you can use Popen to send all notifications to notify-send.)

  • Can be run as a system service, enabling your scripts from boot time.

  • It is being developed with facilities to make it easy subclassing.

Installing

pip install ntfy-client

Python minimum version 3.10 is needed. (because of the `|` union annotations.)

Setting Up

file: ~/.zshrc

export NTFY_ENVVAR="value"
# soon

Soon will write how to use these three values.

Using

Command line

Our command line ntfy-client still needs more functions, but we already have one. His whole interface is here.

ntfy-client json

This command outputs new received notifications and can be used to pipe for your own scripts to be processed.

Programatically

Here is an example script of how using decorators to use the lib. More examples will be added soon, as there are more decorators/functions to be used.

file: notify.py

#!/usr/bin/env python

from subprocess import Popen

from ntfy_client import register_command
from ntfy_client import register_parser
from ntfy_client import NTFYClientRealTime


# Let's use a decorator to registrate a command function; it will be executed
# when a message with `mycmd_rawdata` as the first word is received. All
# the arguments, *ie.*, all the words in the notification, including
# `mycmd_rawdata` will be passed to ``*args``:

@register_command
def mycmd_rawdata(*args, raw_data=None):
    print("RAW DATA IS:", raw_data)

# this decorator register a parser which is executed for each new
# notification received; here we have two examples:

@register_parser
def my_notify_send_parser(raw_data=None):
    args_str = "notify-send \"{message}\"".format(message=raw_data["message"])
    Popen(args=args_str, shell=True)


@register_parser
def my_print_parser(raw_data=None):
    print("MESSAGE RECEIVED:", raw_data)

# this instantiates the NTFY websocket class and runs it
client = NTFYClientRealTime()
client.run_forever()

You can save the script above to a file (eg. ~/notify.py), then make it executable and run, after you have installed the package and entered your NTFY credentials:

chmod +x notify.py
./notify.py

Then while it is running, try to send a notification to the device (or all the devices) via NTFY website or other notification sending app.

A Little More Inner

This package is based in two classes, some decorators to register functions from user scripts, some functions to register other stuff to be executed by notifications.

The two classes are ntfy_client.PushoverOpenClient and ntfy_client.NTFYClientRealTime. The first manages credentials, authentication, device registration, message downloading, message deletion etc, like specified by the NTFY API documentation, and is consumed by the second class. The second class connects to the Pushover’s websocket server with the given credentials (secret and device_id) and keep the connection open, receiving messages and executing callbacks when and according to each server message is received.

By now, decorators and top level functions are used to register functions to be executed when certain commands are received by notification (@register_command, @register_command_parser, register_shell_command(), register_shell_command_alias()), or to register parsers which will be executed when every notification is received @register_parser.)

Contributing

Please open an issue if you want to contribute with code. Or use discussions.

The sources’ package in reality contain only two files:

  • __init__.py - This contains the ntfy_client library itself.

  • __main__.py - Will hold the command-line interface logic for the ntfy-client command as it is developed.

Support

You can open a issue or a message in discussions for support in using/getting the code.

Is it ready already?

100%

Note

This project has been set up using PyScaffold 4.1.4. For details and usage information on PyScaffold see https://pyscaffold.org/.

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