Skype for Linux – Using corporate proxy

Since, unfortunately, I some times need to use Skype on Linux and because I’m behind a corporate proxy server, Skype doesn’t work or accept, at least on Arch Linux running KDE Plasma desktop, the system proxy settings.

Setting the http_proxy/https_proxy variables have no effect on the Electron (I think…) Skype based app.

Anyway the solution for this is quite simple: Just install ProxyChains.

[pcortex@desktop:~]$ sudo pacman -S proxychains-ng

After installing, edit the file /etc/proxychains.conf and under the [ProxyList] add your proxy:

http  3128  my_proxy_username  my_proxy_password

Save the file, and now just run skype with the following command:

[fpcortex@desktop:~]$ proxychains skypeforlinux

Making now the test call works.


Node-Red: Checking network service port status + UI status indicator

This post is about how to do two simple things using Node-Red:

  1. Check if network service on the machine running Node-Red is available by checking the corresponding listening port.
  2. The Node-Red UI doesn’t have a status indicator available, so I’ve built one

The only limitation on the following solution is that it only tests for services for services that are running on the same server where Node-Red is also running.


We need to install the Is Port Available NPM Module and madke it available into our Node-Red instance.
For doing so in Linux we must do the following:

root@server:~# cd .node-red/
root@server:~/.node-red# node i --save is-port-available

We need now to make this node module available to Node-Red by editing the settings.js file:

root@server:~/.node-red# vi settings.js

Add the module to the global context on the function named functionGlobalContext:

    functionGlobalContext: {
        // os:require('os'),
        // octalbonescript:require('octalbonescript'),
        // jfive:require("johnny-five"),
        // j5board:require("johnny-five").Board({repl:false})


You might have other modules configured, so we need to add the above portavail:require(‘is-port-available’) line to that list preceed by a comma.

Restarting now Node-Red makes the module available to the flows.

The testing flow

We can use now the global context object portavail to use the is-port-available module.

For example for testing the InfluxDB server port (1086/TCP) we can write the following function:

    // Instantiate locally on the flow the is-port-available module
    const isPortAvailable =;

    msg.payload = {};   // Zero out the message. Not really necessary
    var port = 1086; // Replace this with your service port number. In this case 1086 is the Influx DB port
    isPortAvailable(port).then( status => {
        if(status) {
            //console.log('Port ' + port + ' IS available!');
            msg.payload = {'InfluxDB':false,"title":"InfluxDB","color":"red"};   // The port is available, hence the server is NOT running
        } else {
            //console.log('Port ' + port + ' IS NOT available!');
            //console.log('Reason : ' + isPortAvailable.lastError);
            msg.payload = {'InfluxDB':true,"title":"InfluxDB","color":"green"};    // The port is not available, so the server MIGHT be running

    // Note that we DO NOT return a message here since the above code is asynchronous and it will emit the message in the future. 

Since the test is using promises, Node-Red will continue executing without waiting for the test response (the isPortAvailable(port) code ). So we do not send any message further on the normal Node-Red execution flow (hence there is no return msg; object) and the message is only emitted when the promise fulfils. When that happens we just send the message with the node.send(msg) statement.

The message payload can be anything, being the only important properties the title and color that are used for creating the UI status indicator.

The status indicator is a simple Angularjs template that displays the title and a status circle with the chosen colour.

Since pasting CSS and HTML code in WordPress is recipe to disaster, the template code can be accessed on this gist or on the complete test flow below:

[{"id":"1f506795.4be25","type":"inject","z":"53f8b852.885c6","name":"Check todos os 60s","topic":"","payload":"","payloadType":"date","repeat":"60","crontab":"","once":true,"x":260,"y":96,"wires":[["5d180fc7.9ad06","27e67f9b.4f9158"]]},{"id":"5d180fc7.9ad06","type":"function","z":"53f8b852.885c6","name":"Test Influx DB","func":"    const isPortAvailable =;\n    msg.payload = {};\n     \n    var port = 8086;\n    \n    isPortAvailable(port).then( status =>{\n        if(status) {\n            //console.log('Port ' + port + ' IS available!');\n            msg.payload = {'InfluxDB':false,\"title\":\"InfluxDB\",\"color\":\"red\"};   // The port is available, hence the server is NOT running\n            node.send(msg);\n        } else {\n            //console.log('Port ' + port + ' IS NOT available!');\n            //console.log('Reason : ' + isPortAvailable.lastError);\n            msg.payload = {'InfluxDB':true,\"title\":\"InfluxDB\",\"color\":\"green\"};    // The port is not available, so the server MIGHT be running\n            node.send(msg);\n           \n        }\n    });\n    ","outputs":1,"noerr":0,"x":533.5,"y":97,"wires":[["3f3f8226.c9bfb6"]]},{"id":"3f3f8226.c9bfb6","type":"ui_template","z":"53f8b852.885c6","group":"44e5d7ea.043b2","name":"Status Icon","order":0,"width":0,"height":0,"format":"\ {\n    height: 25px;\n    width: 25px;\n    background-color: #bbb;\n    border-radius: 50%;\n    display: inline-block;\n    float: right;\n}\n\n\n
{{msg.payload.title}}\n \n
","storeOutMessages":true,"fwdInMessages":true,"x":780,"y":96,"wires":[[]]},{"id":"27e67f9b.4f9158","type":"function","z":"53f8b852.885c6","name":"Test MongoDB","func":" const isPortAvailable =;\n msg.payload = {};\n \n var port = 27017;\n \n isPortAvailable(port).then( status =>{\n if(status) {\n //console.log('Port ' + port + ' IS available!');\n msg.payload = {'MongoDB':false,\"title\":\"MongoDB\",\"color\":\"red\"}; // The port is available, hence the server is NOT running\n node.send(msg);\n } else {\n //console.log('Port ' + port + ' IS NOT available!');\n //console.log('Reason : ' + isPortAvailable.lastError);\n msg.payload = {'MongoDB':true,\"title\":\"MongoDB\",\"color\":\"green\"}; // The port is not available, so the server MIGHT be running\n node.send(msg);\n \n }\n });\n ","outputs":1,"noerr":0,"x":533,"y":158,"wires":[["2e85d9d.cc25126"]]},{"id":"2e85d9d.cc25126","type":"ui_template","z":"53f8b852.885c6","group":"44e5d7ea.043b2","name":"Status Icon","order":0,"width":0,"height":0,"format":"\ {\n height: 25px;\n width: 25px;\n background-color: #bbb;\n border-radius: 50%;\n display: inline-block;\n float: right;\n}\n\n\n
{{msg.payload.title}}\n \n
","storeOutMessages":true,"fwdInMessages":true,"x":781,"y":161,"wires":[[]]},{"id":"44e5d7ea.043b2","type":"ui_group","z":"","name":"System Status","tab":"7011ff77.15cb18","disp":true,"width":"6"},{"id":"7011ff77.15cb18","type":"ui_tab","z":"","name":"Home","icon":"dashboard"}]

The result:

The above flow and Node UI status indicator template should produce the following result:

NR UI Status Indicator

Node-Red UI Status Indicator

Using Node-Red and Grafana WorldMap for geolocalized data visualization

Based on my previous posts we are now able to build a system that can receive, store and visualize data by using Node-Red, InfluxDB and Graphana. Grafana allows us build dashboards, query and visualize the stored data across time efficiently by using, in our case, the InfluxDB database engine. So far we’ve used simple line/bar charts to visualize data but we can use both Node-Red and Grafana to plot data onto a map:

  1. NodeRed Contrib World Map: Openstreet UI based map for plotting data with several options, including icon types, vectors, circles and heatmaps totally controlled through nodered flows.
  2. Grafana WorldMap plugin: Grafana panel with also an OpenStreet map for visualizing data.

Both have pros and cons, but the main differences between the two is that Node-Red Worldmap is suited more to real time display, and the Grafana plugin is better adapted to display data based on some time based query. Other major difference is that Node-Red Worldmap would require some coding, but, at least I consifer it, at an easy level, and the Grafana plugin is much harder to make it work.

Mapping data using Node-Red Worldmap:
One of the easiest ways for mapping data in realtime is using Node Red Worldmap node. The map is plotted and updated in real time.

cd ~
cd .node-red
npm install node-red-contrib-web-worldmap

After restarting and deploying a worldmap node, the map should be available at: http://server:1880/worldmap or other URL depending on the Node-Red base configuration.

One thing to keep in mind is that Node-Red is single user, so all instances of world maps (several different clients/browsers) will always have the same view.
The simplest way to start using the worldmap is just to copy and deploy the demo workflow provided by the node, but the key concept is that each point has a name and a set of coordinates.

msg.payload = {}; = "CentralLX"; = 38.7223;
msg.payload.lon = -9.1393;
msg.payload.layer = "SensorData";
msg.payload.UVLevel = getUVLevel() ;
msg.payload.Temperature = getTemp();

The cool thing is that if we inject repeatedly the above message (keeping the same name) but with different coordinates, the data point will move across the map in real time, and as I said earlier, the move will be reflect onto every client.

So all we need is an Inject node to a function node with the above code and feed it to the world map:

At the end we get this at the URL http://server:1880/worldmap:

Mapping data using Grafana Worldmap plugin:

The Grafana Worldmap plugin can get the location data in several ways. One of them is to use geohash data that is associated to the values/measurements.
There is a Node Red Geohash node that generates the geohash value from the latitude and longitude of data location. As usual we install the node:

cd ~
cd .node-red
npm install node-red-node-geohash

and then the Grafana plugin. We just follow the plugin instructions:

cd ~
grafana-cli plugins install grafana-worldmap-panel
/etc/init.d/grafana-server restart

With this per-requisites installed we can now feed data onto the database, in our case InfluxDB, that will be used by Grafana. We just need make sure that we add the geohash field. The geohash node will calculate from the node-red message properties lat – latitude and lon – longitude the required info:

A simple example:

Using the Influx tool, we can query our database and see that the geohash localization is now set:

> select * from SensorData limit 2
name: DemoValue
time                Temp UVLevel geohash    lat       lon        
----                ---- ------- -------   ---------- ----------  
1490706639630929463 22   8       eyckpjywh 38.7045055 -9.1754669  
1490706651606553077 21   7       eyckpjzjr 38.7044008 -9.1746488 

Anyway for setting up the World map plugin to display the above data was not straight forward, so the following instructions are more for a startup point rather than a solution.

The first thing to know is that the plugin is waiting for two fields: geohash and metric. With this in mind, before wasting too much time with the map plugin, a table panel that is filled with the required query is a precious tool to debug the query:

After we infer from the table that the data is more or less the data we want, we just transfer the query to WorldMap plugin:

Notice two important things: The aliasing for the query field to metric with the alias(metric) instruction, and the Format as: Table.

We can now setup the specific Worldmap settings:

On the Map Visual Options , I’ve centered the map in my location and set the zoom level. Fiddling around here can be seen in real time.

On the Map Data Options for this specific example, the Location Data comes from a table filled with the previous query (hence the format as table on the query output), and we want to see the current values with no aggregation.

When hoovering around a spot plotted on the map we can see a label: value, and the label used is obtained from a table field. In my case I just used geohash (not really useful…). Anyway these changes only work after saving and reloading the panel with F5 in my experience.

At the end we have now graphed data and localized data:

If we drag the selector on the left graphic panel, or select another time interval on top right menu of the grafana dashboard, the visualized information on the map changes.

Setting up a Grafana Dashboard using Node-Red and InfluxDB – Part 1: Installing

A more or less standard software stack used for control, processing and displaying data, has emerged that is almost used by everyone when hacking around on Arduinos, ESP8266, Raspeberry Pi’s and other plethora of devices. This “standard” software stack basically always includes the MQTT protocol, some sort of Web based services, Node-Red and several different cloud based services like Thingspeak, PubNub and so on. For displaying data locally, solutions like Freeboard and Node-Red UI are a great resources, but they only shows current data/status, and has no easy way to see historical data.

So on this post I’ll document a software stack based on Node-Red, InfluxDB and Graphana that I use to store and display data from sensors that I have around while keeping and be able to display historical memory of data. The key asset here is the specialized time-series database InfluxDB that keeps data stored and allows fast retrieval based on time-stamps: 5 minutes ago, the last 7 days, and so on. InfluxDB is not the only Time-Series database that is available, but it integrates directly with Grafana the software that allows the building of dashboards based on stored data.

I’m running an older version of InfluxDB on my ARM based Odroid server, since a long time ago, ARM based builds of InfluxDB and Grafana where not available. This is now not the case, but InfluxDB and Grafana have ARM based builds so we can use them on Raspberry PI and Odroid ARM based boards.

So let’s start:

Setting up Node-Red with InfluxDB
I’ll not detail the Node-Red installation itself since it is already documented thoroughly everywhere. To install the supporting nodes for InfluxDB we need to install the package node-red-contrib-influxdb

cd ~/.node-red
npm install  node-red-contrib-influxdb

We should now restart Node-red to assume/detect the new nodes.

Node Red InfluxDB nodes

Installing InfluxDB
We can go to the InfluxDB downloads page and follow the installation instructions for our platform. In my case I need the ARM build to be used on Odroid.

cd ~
tar xvzf influxdb-1.2.0_linux_armhf.tar.gz

The InfluxDB engine is now decompressed in the newly created directory influxdb-1.2.0-1. Inside this directory there are the directories that should be copied to the system directories /etc, /usr and /var:

sudo -s
cd /home/odroid/influxdb-1.2.0-1

Copy the files to the right location. I’ve added the -i switch just to make sure that I don’t overwrite nothing.

root@odroid:~/influxdb-1.2.0-1# cp -ir etc/ /etc
root@odroid:~/influxdb-1.2.0-1# cp -ir usr/* /usr
root@odroid:~/influxdb-1.2.0-1# cp -ir var/* /var

We need now to create the influxdb user and group:

root@odroid:~/influxdb-1.2.0-1# groupadd influxdb
root@odroid:~/influxdb-1.2.0-1# useradd -M -s /bin/false -d /var/lib/influxdb -G influxdb influxdb

We need now to change permissions on /var/lib/influxdb:

cd /var/lib
chown influxdb:influxdb influxdb

We can now set up the automatic start up script. On the directory /usr/lib/influxdb/scripts there are scripts for the systemctl based Linux versions and init.d based versions that is my case. So all I have to do is to copy the script from that directory to the /etc/init.d and link it to my run level:

root@odroid:~# cd /etc/init.d
root@odroid:/etc/init.d# cp /usr/lib/influxdb/scripts/ influxdb
root@odroid:/etc/init.d# runlevel
 N 2
root@odroid:/etc/init.d# cd /etc/rc2.d
root@odroid:/etc/init.d# ln -s /etc/init.d/influxdb S90influxdb

And that’s it. We can now start the database with the command /etc/init.d/influxdb start

root@odroid:~# /etc/init.d/influxdb start
Starting influxdb...
influxdb process was started [ OK ]

We can see the influxdb logs at /var/log/influxdb and start using it through the command line client influx:

root@odroid:~# influx
Connected to http://localhost:8086 version 1.2.0
InfluxDB shell version: 1.2.0
> show databases
name: databases


Installing Grafana
We need now to download Grafana. In my case for Odroid since it is an ARMv7 based processor, no release/binary is available.
But a ARM builds are available on this GitHub Repository: for both the Raspberry Pi and other ARM based computer boards, but only for Debian/Ubuntu based OS’s. Just click on download button on the description for the ARMv7 based build and at the end of the next page a download link should be available:

odroid@odroid:~$ wget -O grafana.deb

And install:

root@odroid:~# dpkg -i grafana.deb
Selecting previously unselected package grafana.
(Reading database ... 164576 files and directories currently installed.)
Preparing to unpack grafana.deb ...
Unpacking grafana (4.1.2-1487023783) ...
Setting up grafana (4.1.2-1487023783) ...
Installing new version of config file /etc/default/grafana-server ...
Installing new version of config file /etc/grafana/grafana.ini ...
Installing new version of config file /etc/grafana/ldap.toml ...
Installing new version of config file /etc/init.d/grafana-server ...
Installing new version of config file /usr/lib/systemd/system/grafana-server.service ...

Set the automatic startup at boot:

root@odroid:~# ln -s /etc/init.d/grafana-server /etc/rc2.d/S91grafana-server

And we can now start the server:

root@odroid:~# /etc/init.d/grafana-server start
 * Starting Grafana Server    [ OK ] 

We can now access the server at the address: http://server:3000/ where server is the IP or DNS name of our ODroid or RPi.

This ends the installation part for the base software.

The following steps are:

  • Create the Influx databases –
  • Receive data from sensors/devices and store it on the previously created database
  • Configure and create Grafana data sources and dashboards
  • Add some plugins to Grafana

Setting up an UPS for Synology NAS, Odroid and Arch Linux

To protect data residing on my Synology NAS I’ve bought and installed an UPS, an APC 700U to be exact. The trigger for buying and installing one was the loss of (some) disk data event that happened to family member external hard disk due to power loss. The data recovery cost was higher than buying an UPS and of course the lack of backups added to outcome of that event.

While no Synology NAS was involved on the above data loss, I know first hand that backups by themselves only add one layer of protection to possible data loss, and since from time to time I also have some power loss events, it was just a matter of time that my NAS might be hit by an unrecoverable power event, and, who knows, data loss.

So buying an UPS just might be a good idea…

Anyway the UPS from APC that I bought has an USB port allowing it to be connected to the Synology, which allows the UPS to be monitored and also allows the NAS to gracefully shutdown before UPS battery exhaustion. As a bonus it also allows to run an UPS monitoring server where other devices that share the same UPS power source can be notified of a power event through the network. Just keep in mind that the network switch or router must also be power protected…

Installing the UPS:
Installing the UPS is as simple as power down all devices that will connect to the UPS: Synology NAS, Odroid, external hard disks, PC base unit and network switch, and connecting an USB cable from the UPS to the back Diskstation USB ports.

After starting up, just go to DSM Control Panel and select Hardware & Power and then the UPS tab. Enable the UPS by ticking the Enable UPS support and also enable the UPS server to allow remote clients by ticking Enable UPS Network Server:

UPS Configuration

We can see by pressing the Device Information button that the UPS was correctly detected:

UPS Device Information

To end the configuration we need to press the Permitted DiskStation Devices and add the IP’s address of the devices that also have their power sources connected to the UPS and will also monitor the power status, in my case the IP of Odroid and my home PC.

And that’s it.

Setting up Arch Linux
Interestingly I dind’t found the NUT tools (Network UPS tools) on the core Arch repositories, but they are available at the AUR repository:

 yaourt -S network-ups-tools nut-monitor

The above packages will install the core NUT tools and a graphical monitor.

We can now scan our network for the ups:

nut-scanner -s
Scanning USB bus.
Scanning SNMP bus.
Scanning XML/HTTP bus.
Scanning NUT bus (old connect method).
        driver = "nutclient"
        port = "ups@"

With the UPS reference found, we can now query it:

 upsc ups@
Init SSL without certificate database
battery.charge: 100
battery.voltage: 13.9
battery.voltage.nominal: 12.0
device.mfr: American Power Conversion
device.model: Back-UPS XS 700U  

We can check the load, for example, with:

upsc  ups@ | grep load
Init SSL without certificate database
ups.load: 37

We need now to modify the following files on /etc/ups:

  1. nut.conf
  2. upsmon.conf

First, as root, we copy a file from upsmon.conf.sample to upsmon.conf and add the following line:

MONITOR ups@ 1 * * slave

after the other commented out MONITOR lines. Since I’m only monitory, I’ve just put * at the username and password for authentication.

On nut.conf, we change the line MODE to MODE=netclient

After changing the files, we enable and start the UPS monitoring service:

sudo systemctl enable nut-monitor
sudo systemctl start nut-monitor

We are now monitoring the UPS status through the network. Keep in mind that the hub/switch power should also be connected to the UPS.

For monitoring we can use the nut-monitor application to see the UPS status in a nicer way:

NUT Monitor

To make the application easier to use, we can create a profile and save it, and when calling the application nut-monitor, we pass the profile name with the -F switch.

Setting up Odroid
To allow Odroid to monitor the UPS status through the Synology UPS server we need to also install the nut UPS tools (the same used by Arch Linux and DSM):

 apt-get install nut

The configuration steps for Odroid are the same as the Arch Linux steps, but since Odroid is running an Ubuntu variant, the files are located on a different path: /etc/nut.

To start the monitoring with the new configuration we just do /etc/init.d/ups-monitor restart.

If authentication is needed, on the Synology disk, check the NUT configuration files located at /usr/syno/etc/ups/.

The upsd.users file has the user and password defined by default by the NUT tools on DSM.

Using Netbeans, OpenOCD and GDBServer plugin for ARM development

On my previous post we’ve seen how to setup the base software for starting up programming for ARM processor based boards.

Normally these boards have no base code running, like Arduino for example, to allow direct programming through USB, and so we need to have a programmer to flash the code onto the board through a specific interface, either JTAG or SWD. As a bonus the programmer also allows to debug in real time the code on the processor with breakpoints and watchpoints without resourcing to the common printf or Serial.print…

These programmers come on all sizes, shapes and prices… Some of the available are:

  1. STLink/V2 – Standard programmer from 2.5€ and up for clones, 22€ for the original.
  2. BlackMagic probe – An alternative that can be flashed on some hardware to build programmers, and that supports some devices based on the ARM processors, for example the BLE NRF51822 chip.
  3. Segger J-Link – State of the art programmer. A cheaper EDU version is available but with some licensing restrictions.

STLink/V2 is supported by OpenOCD which allows to use openocd to flash and debug code through JTAG or SWD (Single Wire Debug).

Code Sample
The “Hello World” example on the hardware world is the Blink Led example. On this site there is an example for my processor, in my case the STM32F103 processor. Just download and expand the file and import the project into NetBeans:

New Project with existing sources

Just make sure that the correct toolchain is selected:

Project with ARM Toolchain

The build process should run without errors, and at the root of the project a new file should be created: main.elf

Flashing the code
For using OpenOCD to flash the code onto the ARM processor based board we need to configure openocd to know which programmer is using and which target board is programming.
In my case since I’m using a STLink/V2 programmer connected to a target STM32F103 based board, I’ve created the following configuration file:


source [find interface/stlink-v2.cfg]
transport select hla_swd
source [find target/stm32f1x.cfg]

Based on this configuration we can flash now our board:

openocd -f /opt/ARM/ebay_board.cfg -c init -c targets -c "halt" -c "flash write_image erase /opt/ARM/Projects/STM32F103VHB6_RevZ_Demo1/main.elf" -c "verify_image /opt/ARM/Projects/STM32F103VHB6_RevZ_Demo1/main.elf" -c "reset run" -c shutdown

And the output is:

Open On-Chip Debugger 0.9.0 (2016-04-27-23:18)
Licensed under GNU GPL v2
For bug reports, read
Info : The selected transport took over low-level target control. The results might differ compared to plain JTAG/SWD
adapter speed: 1000 kHz
adapter_nsrst_delay: 100
none separate
Info : Unable to match requested speed 1000 kHz, using 950 kHz
Info : Unable to match requested speed 1000 kHz, using 950 kHz
Info : clock speed 950 kHz
Info : STLINK v2 JTAG v24 API v2 SWIM v4 VID 0x0483 PID 0x3748
Info : using stlink api v2
Info : Target voltage: 3.208372
Info : STM32F103C8T6.cpu: hardware has 6 breakpoints, 4 watchpoints
    TargetName         Type       Endian TapName            State       
--  ------------------ ---------- ------ ------------------ ------------
 0* STM32F103C8T6.cpu  hla_target little STM32F103C8T6.cpu  halted
auto erase enabled
Info : device id = 0x20036410
Info : flash size = 64kbytes
target state: halted
target halted due to breakpoint, current mode: Thread 
xPSR: 0x61000000 pc: 0x2000003a msp: 0x20004fd0
wrote 7168 bytes from file /opt/ARM/Projects/STM32F103VHB6_RevZ_Demo1/main.elf in 0.468006s (14.957 KiB/s)
target state: halted
target halted due to breakpoint, current mode: Thread 
xPSR: 0x61000000 pc: 0x2000002e msp: 0x20004fd0
verified 6836 bytes in 0.035336s (188.923 KiB/s)
shutdown command invoked

Success! A blinking led (we have to connect one on my board to the correct pin) is now blinking.

Debugging the code:
To be able to debug our code we need to start OpenOCD and connect it to the board:

openocd -f ebay_board.cfg 
Open On-Chip Debugger 0.9.0 (2016-04-27-23:18)
Licensed under GNU GPL v2
For bug reports, read
Info : The selected transport took over low-level target control. The results might differ compared to plain JTAG/SWD
adapter speed: 1000 kHz
adapter_nsrst_delay: 100
none separate
Info : Unable to match requested speed 1000 kHz, using 950 kHz
Info : Unable to match requested speed 1000 kHz, using 950 kHz
Info : clock speed 950 kHz
Info : STLINK v2 JTAG v24 API v2 SWIM v4 VID 0x0483 PID 0x3748
Info : using stlink api v2
Info : Target voltage: 3.211511
Info : STM32F103C8T6.cpu: hardware has 6 breakpoints, 4 watchpoints

And openocd is running.

On the NetBeans size we need to goto Debug->Attach Debugger. A new window should appear and we must change the debugger type from the default GDB Debugger to gdbserver and configure the openocd remote port and project:

gdbserver configuration

Make sure that the target is defined as: extended-remote localhost:3333
and the correct project is selected.

And that’s it. If the code already has some breakpoint defined, and the code passes through it, the execution is stopped and the correct code line is shown. Otherwise we can press the Pause button:

Debugger control

On the openocd output we can see the breakpoints and code pause working:

Info : device id = 0x20036410
Info : flash size = 64kbytes
Info : halted: PC: 0x08000806

Hardware breakpoint

If there are weird errors regarding connection dropped or failed, make sure that under the toolchain for ARM, the correct debugger is selected, meaning it should be the ARM debugger and not the gdb debugger.

And that’s it.

Setting up Netbeans for ARM development

My quick notes for setting up Netbeans, OpenOCD for ARM cortex processor development on Arch Linux. The instructions, excluding the ARCH Linux specific pacman commands, should be the same for any Linux platform.

So I’ve bought some STM32F103 ARM Cortex based boards, and for starting building software for them these are the steps:

Arm toolchain

Download the ARM toolchain from ARM GNU Toolchain. In my case I downloaded the latest available version for Linux 64 bit.

Create a working directory, in my case I just created /opt/ARM and unzip the toolchain there.

cd /opt
mkdir ARM
cd ARM
tar xvf ~/Downloads/gcc-arm-none-eabi-6_2-2016q4-20161216-linux.tar.bz2

Add now the ARM toolchain to your path, by editing the .bashrc file at our home directory:

vi .bashrc

Add at the end the following line:

export PATH=$PATH:/opt/ARM/gcc-arm-none-eabi-6_2-2016q4/bin

and then execute the following command for assuming the new setting, on the current terminal window:

source ~/.bashrc

To the new path to be globally available we have to logout and login again, but we won’t do that right now.

We can now test the ARM toolchain installation by calling, for example the command: arm-none-eabi-gcc -v

arm-none-eabi-gcc -v
Using built-in specs.
Target: arm-none-eabi
Configured with: /tmp/jenkins-GCC-6-build...


OpenOCD is a tool that will allow to flash the ARM processors and also allow to debug code. Netbeans by itself won’t be able to flash code on the processor. So regarding OpenOCD we need to do the installation and some configurations first:

On ARCH Linux it goes more or less like this:

sudo -s
pacman -S openocd
cp /usr/share/openocd/contrib/99-openocd.rules /etc/udev/rules.d

groupadd plugdev
usermod -a -G plugdev pcortex

udevadm control --reload-rules

Replace pcortex on the usermod command with your user name. Now we can logout and logon again to assume the new user group and path.

Setting up Netbeans
After starting up NetBeans, I’m using the latest version 8.2 (at the date of this post), we select Tools->Plugins and try to search and install the gdbserver plugin. If it fails searching for it, just download it from the GDBServer Plugin home page and install it manually.

Then we need to add the ARM toolchain to the available C++ Tools Collection. Just go to Tools->Options->C++ and press the Add button:

Add ARM Toolchain

Then add the correct path to the binaries for C/C++ and very important for the ARM debugger:
ARM tools

We don’t need to do nothing for anything else, since Code Completion tab will be filled automatically.

And that’s it, we can now use Netbeans to develop for ARM based boards.

In the next post we will see how to flash and debug code on these ARM based boards.