xAAL dummy devices
Project description
This package provides some dummy (fake) devices for the xAAL Project. It is intended to be used for testing purposes.
Usage
Run the module to see the available devices and how to run them.
python -m xaal.dummy ================= xAAL dummy devices ================= This package contains some fake lamps, power_relay, and bots: - lamp: a simple lamp implementation - lamp_minimal: a simple lamp using schema devices - power_relay: a power relay - temperature: a fake temperature sensor - autobot: a bot than send turn_on/off and set_brightness - asyncbot: same as autobot with asyncio To run a module simply call: python -m xaal.dummy.module Example: python -m xaal.dummy.lamp 8e1495cc-b98b-11eb-8432-d6bd5fe18736 All modules accept their address (uuid) as argument. Autobot uuid is the lamp's address to switch.
Here a simple example to run a lamp:
python -m xaal.dummy.lamp 8e1495cc-b98b-11eb-8432-d6bd5fe18736
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
xaal_dummy-0.3.3.tar.gz
(4.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file xaal_dummy-0.3.3.tar.gz.
File metadata
- Download URL: xaal_dummy-0.3.3.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
765a71888fd34983ffb7922def94f363c21ec2ff9edf4a3f0c64e4755c013f98
|
|
| MD5 |
afddfc9fb50b2d9f87d008841d6ad966
|
|
| BLAKE2b-256 |
64fbf4a467fcdf787d4fbeb0dc3d410380bddbf0358940f7c2cbfcb8f022c422
|
File details
Details for the file xaal_dummy-0.3.3-py3-none-any.whl.
File metadata
- Download URL: xaal_dummy-0.3.3-py3-none-any.whl
- Upload date:
- Size: 6.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a4a19fe1636a769d895bdbd1beb86ddff9287744747e86c8283b06f12c50b374
|
|
| MD5 |
4373058c381a4b914d8b015aec9c4d76
|
|
| BLAKE2b-256 |
13a681accc1c1546b6bfabb6f91c7f9a54fc7cf5be9919110d54175a16eddd4a
|