wled2graph 0.1.2

wled2graph supports a table and graphs of FPS and other data from multiple WLED endpoints in real-time via a browser interface

wled2graph

wled2graph is a Python program designed to visualize Frames Per Second (FPS) data and other from WLED endpoints on a network in real-time using a Bokeh graph server. It sets up a polling loop, defaulting to every 5 seconds, to fetch the current JSON state from each specified WLED endpoint

Features

• Real-time FPS, BSSID, RSSI and Ping Visualization: Continuously polls WLED endpoints and updates the graph with current FPS values.
• IP address hyperlink to WLED UI: Just click through direct to the WLED UI for the selected WLED endpoint.
• Configurable Polling Frequency: Allows customization of the polling interval to suit network and performance needs.
• Scalable: Can monitor multiple WLED endpoints simultaneously.
• Customizable Data Points Rollover: Supports setting a maximum number of data points to display on the graph, after which old data points are rolled off.

Installation from PyPi

pip install wled2graph

WLED2Graph is executed from the command line and requires a list of IP addresses corresponding to the WLED endpoints you wish to monitor.

wled2graph -w <WLED_IPs> [-t <time_period>] [-r <rollover>]

-w, --wleds: A comma-separated list of IP addresses for the WLED endpoints.
-t, --time-period: (Optional) The time period in seconds for polling the WLEDs. Default is 5 seconds.
-r, --rollover: (Optional) The number of data points to keep in the graph before rolling over. Default is 20000.

Example

To start monitoring two WLED endpoints with a polling interval of 10 seconds:

wled2graph -w 192.168.1.100,192.168.1.101 -t 10

To start monitoring five WLED endpoints with a polling interval of 1 seconds and a data point rollover of 30:

wled2graph -w "192.168.1.216, 192.168.1.217, 192.168.1.220, 192.168.1.229, 192.168.1.230" -t 1 -r 30

How to develop on wled2graph

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.9 or higher
• Poetry, a tool for dependency management in Python projects.

1. Clone the repository to your local machine:

   git clone https://github.com/bigredfrog/wled2graph.git
   cd wled2graph
   

2. Install the project dependencies using Poetry:

   poetry install
   

   This will create a virtual environment and install the necessary Python libraries.

Development Usage

WLED2Graph is executed from the command line and requires a list of IP addresses corresponding to the WLED endpoints you wish to monitor.

poetry run python main.py -w <WLED_IPs> [-t <time_period>] [-r <rollover>]

-w, --wleds: A comma-separated list of IP addresses for the WLED endpoints.
-t, --time-period: (Optional) The time period in seconds for polling the WLEDs. Default is 5 seconds.
-r, --rollover: (Optional) The number of data points to keep in the graph before rolling over. Default is 20000.

Example

To start monitoring two WLED endpoints with a polling interval of 10 seconds:

poetry run python main.py -w 192.168.1.100,192.168.1.101 -t 10

To start monitoring five WLED endpoints with a polling interval of 1 seconds and a data point rollover of 30:

poetry run python main.py -w "192.168.1.216, 192.168.1.217, 192.168.1.220, 192.168.1.229, 192.168.1.230" -t 1 -r 30

Contributing

I just don't know if this has legs right now...

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

https://github.com/bigredfrog/wled2graph/blob/master/license.md