A package for sending notifications to LaMetric Time.
lmnotify is a package for sending notifications to LaMetric Time. To achieve this, the package encapsulates the REST API calls that are sent to the LaMetric device.
The easiest way to install the lmnotify module is via pip:
pip install lmnotify
or clone/download this repository and install it:
python3 setup.py install
python setup.py install
The LaMetric Time can only be accessed by authorized applications. Therefore, each application that wants to access the device needs to be registered at the LaMetric Developer webpage.
Creating a Custom Application
The following steps are required to register the lmnotify python module as new LaMetric application at their webpage:
- Sign Up and login to the developer webpage https://developer.lametric.com
- Click the Create button in the upper right corner, then select Notification App and click Create again.
- Enter an app name, a description and a redirect URL
- Finally, click Save to create the application.
For the newly created app you will obtain credentials i.e. the client id and a client secret. Both are required in the following to to setup the python module.
Although, the lmnotify python module must be registered with the LaMetric cloud, on the long run, there is only a very limited interaction with the cloud necessary. The main functions of the cloud-related RESTful API deal with user information stored at the cloud as well as the registered LaMetric devices. Particularly, the latter is of great paramount since the list of devices contains an API key for each device that can be used to communicate with the device in the local network without connecting to the cloud.
For that reason, the default configuration of the module will receive all LaMetric devices from the cloud on the first call of get_devices and store them in the ~/.lmdevices file. All further calls of get_devices will simply read this file and return the devices without any interaction with the LaMetric cloud.
Configuration of the Module
There are three different ways to provide the LaMetric API credentials to the module: by constructor, by environment variables or by config file.
1. By constructor: Just provide the client_id and client_secret in the constructor of the LaMetricManager class, e.g.:
CLIENT_ID = "<my_client_id>" CLIENT_SECRET = "<my_client_secret>" lmn = LaMetricManager(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
2. By environment variables: Just set the LAMETRIC_CLIENT_ID and the LAMETRIC_CLIENT_SECRET environment variable, e.g. in bash:
export LAMETRIC_CLIENT_ID="<my_client_id>" export LAMETRIC_CLIENT_SECRET="<my_client_secret>"
When not providing the client_id and client_secret in the constructor, the environment variables will be used instead.
3. By config file: The default config file is set to ~/.lmconfig. When initializing the LaMetricManager class without parameters the config file will be loaded, if it is already existing. Otherwise you can set the auto_create_config parameter in the constructor to True, to create an empty configuration file. Simply fill your credentials in the config file:
[lametric] client_id = <put the client id here> client_secret = <put the client secret here>
On the next start, the config file will be read automatically, when neither client_id and client_secret are set in the constructor nor the LAMETRIC_CLIENT_ID and the LAMETRIC_CLIENT_SECRET environment variables are set.
As stated above in the background section, after the devices have been obtained from the LaMetric cloud once, all further interaction can be done locally without any interaction with the LaMetric cloud.
As simple example, let’s send a “hello world” message with an icon to the LaMetric Time. It is assumed that you have provided the application credentials using the environment variables or the config file so that no parameters are set in the constructor of the LaMetricManager.
from lmnotify import LaMetricManager, Model, SimpleFrame # create an instance of the LaMetricManager lmn = LaMetricManager() # get devices devices = lmn.get_devices() # use first device to do some tests lmn.set_device(devices) # prepare a simple frame with an icon and some text sf = SimpleFrame("i210", "Hello World!") # prepare the model that will be send as notification model = Model(frames=[sf]) # send the notification the device lmn.send_notification(model)
For more examples see https://github.com/keans/lmnotify/tree/master/examples .
If you want to contribute in the development, please check out the source code at https://github.com/keans/lmnotify.git .
To get started with the development:
git clone firstname.lastname@example.org:keans/lmnotify.git cd lmnotify/ virtualenv env source env/bin/activate pip install -r requirements.txt
For verbose debug output simply set the logging level to debug:
import logging logging.basicConfig(level=logging.DEBUG)
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
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