Node-RED data processing II: Difference between revisions
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(Created page with "== Overview == * This lesson will demonstrate how Node-Red can be used to process data from a sensor. * In this lesson we will learn how to process the output from a python file using the function node in Node-RED. == Learning Objectives == * Learn how to run a Python program using the Terminal. * Learn how to run a Python program using the Execute node in Node-RED. * Learn how to extract data using the Function node in Node-RED. File:Screen Shot 2022-01-01 at 6.37...") |
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* Run the file and check that it can retrieve sensor data and send the standard output to the Python Shell. | * Run the file and check that it can retrieve sensor data and send the standard output to the Python Shell. | ||
[[File:Screen Shot 2022-01-01 at 6.44.56 am.png]] | |||
=== Running python program from the Terminal === | |||
* Python programs can also be run from the Terminal. | |||
* Open a new Terminal window. | |||
* Navigate to the peter-hopper-t3 directory with either of these commands. | |||
** '''cd /home/pi/peter-hopper-t3''' – Absolute path reference includes the full pathname | |||
** '''cd ~/peter-hopper-t3''' – Absolute path reference but uses the ~ (tilde) symbol in place of /home/pi | |||
** '''cd peter-hopper-t3''' - Relative path reference – assumes you are in /home/pi | |||
[[File:Screen Shot 2022-01-01 at 6.46.30 am.png]] | |||
* To run the peter_hopper_get_data5.py file enter the command '''python3 peter_hopper_get_data5.py''' | |||
* The output will be like the output from the Python Shell. | |||
* The output is a String. | |||
[[File:Screen Shot 2022-01-01 at 6.47.40 am.png]] | |||
=== 3. Executing a Python program in Node-RED === | |||
* Start Node-RED in the Terminal with the command Node-RED | |||
* Open a web Browser and enter the URL localhost:1880 | |||
* In Node-RED arrange the following nodes in the arrangement shown below. | |||
** '''inject''' node – displayed as a timestamp | |||
** '''exec''' node – execute node can run commands such as python3 peter_hopper_get_data5.py | |||
** '''debug''' node – displaying as msg.payload | |||
** '''json''' node – to convert String outputs to a JSON object | |||
[[File:Screen Shot 2022-01-01 at 6.49.11 am.png]] | |||
* Double click on the exec (execute) node and enter the following parameters: | |||
* Command: Two commands on the one line will be executed: | |||
** '''cd /home/pi/peter-hopper-t3''' – navigate to the directory peter-hopper-t3 using Absolute path notation | |||
** '''&&''' - the AND Operator. The AND Operator will execute the second command only if the preceding command succeeds. | |||
** '''python3 peter_hopper_get_data5.py''' – second command | |||
* Note – Do not '''Append''' the msg.payload. Append should be de-selected (as shown). | |||
[[File:Screen Shot 2022-01-01 at 6.51.23 am.png]] | |||
* Click on the '''Deploy''' button. | |||
* Ensure that the '''Debug Window''' (on the right) is selected and click on the Rubbish bin icon to clear Debug messages. | |||
* Run the program by clicking on the button to the right of the '''inject''' (timestamp) node. | |||
[[]] | |||
Revision as of 19:52, 31 December 2021
Overview
- This lesson will demonstrate how Node-Red can be used to process data from a sensor.
- In this lesson we will learn how to process the output from a python file using the function node in Node-RED.
Learning Objectives
- Learn how to run a Python program using the Terminal.
- Learn how to run a Python program using the Execute node in Node-RED.
- Learn how to extract data using the Function node in Node-RED.
learning to process data using Node-RED
- Node-RED makes it very easy to display data using a Dashboard, but first we need to get the data we need.
- Luckily, we have experience retrieving data from sensors using Python.
- Reading and processing data using Node-RED is not very different.
Open the file peter_hopper_get_data5.py
- From the main Raspberry Pi menu navigate to Programming and open Python3 IDLE.
- Navigate to the /home/pi/peter-hopper-t3 directory. (t3 is short for term 3).
- Open up the file peter_hopper_get_data5.py and review to make sure it is the same as the code below.
- Run the file and check that it can retrieve sensor data and send the standard output to the Python Shell.
Running python program from the Terminal
- Python programs can also be run from the Terminal.
- Open a new Terminal window.
- Navigate to the peter-hopper-t3 directory with either of these commands.
- cd /home/pi/peter-hopper-t3 – Absolute path reference includes the full pathname
- cd ~/peter-hopper-t3 – Absolute path reference but uses the ~ (tilde) symbol in place of /home/pi
- cd peter-hopper-t3 - Relative path reference – assumes you are in /home/pi
- To run the peter_hopper_get_data5.py file enter the command python3 peter_hopper_get_data5.py
- The output will be like the output from the Python Shell.
- The output is a String.
3. Executing a Python program in Node-RED
- Start Node-RED in the Terminal with the command Node-RED
- Open a web Browser and enter the URL localhost:1880
- In Node-RED arrange the following nodes in the arrangement shown below.
- inject node – displayed as a timestamp
- exec node – execute node can run commands such as python3 peter_hopper_get_data5.py
- debug node – displaying as msg.payload
- json node – to convert String outputs to a JSON object
- Double click on the exec (execute) node and enter the following parameters:
- Command: Two commands on the one line will be executed:
- cd /home/pi/peter-hopper-t3 – navigate to the directory peter-hopper-t3 using Absolute path notation
- && - the AND Operator. The AND Operator will execute the second command only if the preceding command succeeds.
- python3 peter_hopper_get_data5.py – second command
- Note – Do not Append the msg.payload. Append should be de-selected (as shown).
- Click on the Deploy button.
- Ensure that the Debug Window (on the right) is selected and click on the Rubbish bin icon to clear Debug messages.
- Run the program by clicking on the button to the right of the inject (timestamp) node.
[[]]






