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This project aims to improve the VEX Robotics development process by allowing statistics to easily be recorded by a V5 brain and in realtime be sent to a Grafana dashboard. The PROS Grafana Library consists of three parts:
- The PROS C++ template
- The PROS-Grafana CLI, adding a custom command for brain interaction (this repository)
- (Unfinished) The optional Grafana plugin allowing for custom visualization of data such as absolute positioning
โ๏ธ Easily track multiple objects at once
โ๏ธ Easy chart and visualization creation
โ๏ธ Wireless support
The following tools were used in this project:
Before starting ๐, make sure you have already followed all of the steps in the PROS Grafana Library repository.
You can install the PROS Grafana CLI using the following steps:
# Clone the project to the current directory
$ git clone https://github.com/BWHS-Robotics/pros-grafana-cli
# Access
$ cd pros-grafana-cli
# Install the CLI as a pip package
$ pip install -e .
Whenever you want to begin recording information, use the following command before you start the program:
$ prosgrafana
The command will also act like a PROS terminal, and will display whatever readings it receives from the brain.
When you use the command prosgrafana
, any data received by the brain will automatically be written to a file labelled guidata.sqlite
. Grafana will need to know where this is located on your computer in order to display the information.
Ensure you have already setup a Grafana server by following the steps here. Once installed, the dashboard should be able to be opened by visiting http://localhost:3000, where both the username and password are by default admin
:
As Grafana does not natively support SQLite as a data source, we'll be using the frser-sqlite-datasource plugin. Follow the instructions below to install it:
- Hover over the Gear icon on the left side of the dashboard and click Plugins
- In the Search Grafana plugins box, search for SQLite
- Click on the Install button for the plugin
Now that the plugin is installed, go back to the Settings menu and instead select the Data Sources tab. You should see a large blue button labelled Add data source.
After pressing it, find SQLite
and click the Select button. For the Path
input box, enter the absolute path to where your guidata.sqlite
file is located. Hitting the Save & test
button should result in a green checkbox and the text "Data source is working." An image for reference can be seen here:
Grafana should now be ready to read any data from the program and display it in whatever visualization desired.
Now that you can access the robot data, you can create a new dashboard by navigating to the following option:
This should lead you to a new page, where you can add as many panels as you want. In this example, we'll be creating a chart displaying the velocity readings of the chassis.
- Select the Add an empty panel option
- In te top right, make sure the type of panel is a Time series
- In the Query tab, change the Data source to SQLite
Your page should now look something like this:
We can now move onto the final segment: querying the SQLite file for data.
As the file that stores information is .sqlite
, queries will be using the SQL
language in order to fetch data. A few examples can be seen below:
Fetching ALL statistics being tracked
SELECT * from data
Fetching a specific value requires knowing the names for variables you gave in the C++ library.
For example, if I named a motor Variable "Left Front Motor" and tracked "Actual Velocity", you would fetch it using this query:
SELECT time, "Left Front Motor Actual Velocity" from data
Notice how time
also has to be included for Grafana to know when certain values occur. You can fetch as many variables as you want, however there must be a ',' character between each.
Once you're done, you can hit the "Apply" button and rearrange the chart in any fashion.
Charts are just a tiny portion of what Grafana can do with data. You can find a list of the available visualizations here.
Made with โค๏ธ by Ryder
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