Fixed with: find . -name '*.md' -exec codespell --ignore-words-list=doas,ehr,lits,verry --write-changes --summary {} \+
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Python scripts interfacing with the API
These scripts are designed to work in Python 3 preferably with version 3.6 or higher. Dependencies are installed with pip in a virtual environment. The sequence of operations is the following:
sudo apt-get install virtualenv gcc g++ gfortran python3-dev
virtualenv -p /usr/bin/python3 venv # Create virtual environment
. ./venv/bin/activate # Activate virtual environment
pip install -r requirements.txt # Install requirements
freqtracking.py
This script is used to achieve frequency tracking with the FreqTracker plugin. Ideally you would start it before connecting the Frequency Tracker plugin in SDRangel. It works continuously (daemon style) until stop via Ctl-C.
Options are:
-h
or--help
show help message and exit-A
or--address
listening address (default0.0.0.0
)-P
or--port
listening port (default8888
)-a
or--address-sdr
SDRangel REST API address (defaults to calling address)-p
or--port-sdr
SDRangel REST API port (default8091
)-f
or--tracker-frequency
Absolute frequency the tracker should aim at (in Hz optional)-r
or--refcorr-limit
Limit of the tracker frequency reference correction. Correction is not apply if error is in this +/- frequency range (Hz, optional, default 1000 Hz)-d
or--transverter-device
Transverter device index to use for tracker frequency correction (optional)
With default options (no parameters) it will listen on all available interfaces including loopback at 127.0.0.1
and at port 8888
. It will identify the SDRangel API address with the first request from SDRangel and connect back at port 8091
.
Normal sequence of operations:
- Start
freqtracking.py
in a terminal - In SDRangel connect the Frequency Tracker plugin by clicking on the grey square at the left of the top bar of the Frequency Tracker GUI. It opens the channel settings dialog. Check the 'Reverse API' box. Next to this box is the address and port at which the channel will be connected. If you use the defaults for
freqtracking.py
you may leave it as it is else you have to adjust it to the address and port offreqtracking.py
(options-A
and-P
). - In the same manner connect the channel you want to be controlled by
freqtracking.py
. You may connect any number of channels like this. When a channel is removedfreqtracking.py
will automatically remove it from its list at the first attempt to synchronize that will fail.
ptt_active.py
PTT (Push To Talk) actively listening system. For a pair of given device set indexes it actively listens to start and stop commands on the corresponding devices to switch over to the other
Options are:
-h
or--help
show help message and exit-A
or--address
listening IP address. Default0.0.0.0
(all interfaces)-P
or--port
listening port. Default8000
-p
or--port-sdr
SDRangel instance REST API listening port. Default8091
-l
or--link
Pair of indexes of the device sets to link. Default0 1
-d
or--delay
Switch over delay in seconds. Default1
-f
or--freq-sync
Synchronize devices center frequencies
Normal sequence of operations:
In this example we have a Rx device on index 0 and a Tx device on index 1. All settings are assumed to be the default settings.
- Start
ptt_active.py
in a terminal - On the Rx device right click on the start/stop button and activate reverse API at address
127.0.0.1
port8000
(default) - On the Tx device right click on the start/stop button and activate reverse API at address
127.0.0.1
port8000
(default) - Start the Rx or Tx device
- Stop the running device (Rx or Tx) this will switch over automatically to the other
Important: you should initiate switch over by stopping the active device and not by starting the other.
qo100_datv.py
Quick control of configuration for receiving QO-100 DATV to rapidly follow spotted activity on BATC web sdr
Options are:
-h
or--help
show this help message and exit-a
or--address
address and port of SDRangel instance API. Default: 127.0.0.1:8091-d
or--device
index of device set. Default 0-c
or--channel
index of DATV demod channel. Default 0-f
or--frequency
device center frequency (kHz). Mandatory. Ex: 491500-s
or--symbol-rate
symbol rate (kS/s). Mandatory. Ex: 1500
dump.py
Dumps an instance setup to a sequence of commands in a JSON file that can be used as input to config.py
(see next). The setup commands comprise so far:
- Deviceset instantiations (with default device)
- Deviceset device change (will get the first device of the type)
- Deviceset device settings
- Deviceset main spectrum settings
- Deviceset channels instantiations
- Deviceset channels settings
- Featureset instantiations
- Featureset features instantiations
- Featureset features settings
Of course the exact scope of settings that can be manipulated depends of the settings covered by the API.
Options are:
-h
or--help
show help message and exit-a
or--address
address and port of SDRangel instance. Default is127.0.0.1:8091
-j
or--json-file
JSON output file where commands are stored - mandatory.
config.py
Sends a sequence of commands recorded in a JSON file which is in the form of a list of commands.
Options are:
-h
or--help
show help message and exit-a
or--address
address and port of SDRangel instance. Default is127.0.0.1:8091
-j
or--json-file
JSON file containing description of API commands-i
or--init
Initialize instance before running script. This is useful when running a sequence of initialization commands-1
or--ignore-first-posts
. Ignore first deviceset or featureset post in sequence. This is useful when running a sequence of initialization commands for a GUI instance
Each command in the JSON file is a JSON document with the following keys:
endpoint
: URL suffix (API function) - mandatorymethod
: HTTP method (GET, PATCH, POST, PUT, DELETE) - mandatoryparams
: pairs of argument and values - optionalpayload
: request body in JSON format - optionalmsg
: descriptive message for console display - optionaldelay
: delay in milliseconds after command - optional
Example of a JSON file (delay is an example you normally do not need it):
[
{
"endpoint": "/deviceset/0/device",
"method": "PUT",
"payload": {
"hwType": "HackRF"
},
"msg": "Set HackRF on Rx 0"
},
{
"endpoint": "/deviceset/0/device/settings",
"method": "PUT",
"payload": {
"deviceHwType": "HackRF",
"hackRFInputSettings": {
"LOppmTenths": 0,
"bandwidth": 1750000,
"biasT": 0,
"centerFrequency": 433800000,
"dcBlock": 1,
"devSampleRate": 1536000,
"fcPos": 2,
"iqCorrection": 0,
"lnaExt": 1,
"lnaGain": 32,
"log2Decim": 2,
"reverseAPIAddress": "127.0.0.1",
"reverseAPIDeviceIndex": 0,
"reverseAPIPort": 8888,
"useReverseAPI": 0,
"vgaGain": 24
},
"direction": 0
},
"msg": "Setup HackRF on Rx 0"
},
{
"endpoint": "/deviceset/0/channel",
"method": "POST",
"payload": {
"channelType": "RemoteSink",
"direction": 0
},
"msg": "Add a remote sink channel"
},
{
"endpoint": "/deviceset/0/channel/0/settings",
"method": "PUT",
"payload": {
"RemoteSinkSettings": {
"dataAddress": "192.168.1.5",
"dataPort": 9094,
"filterChainHash": 0,
"log2Decim": 3,
"nbFECBlocks": 8,
"reverseAPIAddress": "127.0.0.1",
"reverseAPIChannelIndex": 0,
"reverseAPIDeviceIndex": 0,
"reverseAPIPort": 8888,
"rgbColor": -7601148,
"title": "Channel 0",
"useReverseAPI": 0
},
"channelType": "RemoteSink",
"direction": 0
},
"msg": "Setup remote sink on channel 0",
"delay": 1000
},
{
"endpoint": "/deviceset/0/device/run",
"method": "POST",
"msg": "Start device on deviceset R0"
}
]
If you have presets defined you may also use presets instead of having to set up the device and channels. In this case you only "PUT" the right device and apply the preset like this:
[
{
"endpoint": "/deviceset/0/device",
"method": "PUT",
"payload": {
"hwType": "RTLSDR"
},
"msg": "setup RTLSDR on Rx 0"
},
{
"endpoint": "/preset",
"method": "PATCH",
"payload": {
"deviceSetIndex": 0,
"preset": {
"groupName": "QO100",
"centerFrequency": 489675000,
"type": "R",
"name": "Narrowband master"
}
},
"msg": "load preset on Rx 0"
},
{
"endpoint": "/deviceset/0/device/run",
"method": "POST",
"msg": "Start device on deviceset R0"
}
]
superscanner.py
Connects to spectrum server to monitor PSD and detect local PSD hotspots to pilot channel(s). Thus channels can follow band activity. This effectively implements a "scanner" feature with parallel tracking of any number of channels. It is FFT based so can effectively track spectrum hotspots simultaneously. Therefore the "super" superlative.
It requires SDRangel version 5.6 or above. On SDRangel instance baseband spectrum should be set in log mode and the spectrum server activated with an accessible address and a port that matches the port given to superscanner.py
. Please refer to SDRangel documentation for details.
The script runs in daemon mode and is stopped using Ctl-C
.
Options
-a
or--address
SDRangel web base address. Default:127.0.0.1
-p
or--api-port
SDRangel API port. Default:8091
-w
or--ws-port
SDRangel websocket spectrum server port. Default:8887
-c
or--config-file
JSON configuration file. Mandatory. See next for format details-j
or--psd-in
JSON file containing PSD floor information previously saved with the-J
option-J
or--psd-out
Write PSD floor information to JSON file-n
or--nb-passes
Number of passes for PSD floor estimation. Default:10
-f
or--psd-level
Use a fixed PSD floor value therefore do not perform PSD floor estimaton-X
or--psd-exclude-higher
Level above which to exclude bin scan during PSD floor estimation-x
or--psd-exclude-lower
Level below which to exclude bin scan during PSD floor estimation-G
or--psd-graph
Show PSD floor graphs. Requiresmatplotlib
-N
or--hotspots-noise
Number of hotspots above which detection is considered as noise. Default8
-m
or--margin
Margin in dB above PSD floor to detect acivity. Default:3
-g
or--group-tolerance
Radius (1D) tolerance in points (bins) for hotspot aggregation. Default1
-r
or--freq-round
Frequency rounding value in Hz. Default:1
(no rounding)-o
or--freq-offset
Frequency rounding offset in Hz. Default:0
(no offset)
Command examples:
python ./superscanner.py -a 127.0.0.1 -p 8889 -w 8886 -c 446M.json -g 10 -r 12500 -o 6250 -J psd_pmr.json
python ./superscanner.py -a 192.168.0.3 -j psd.json -c 145M.json -g 10 -r 2500
Configuration file
This file drives how channels in the connected SDRangel instance are managed.
{
"deviceset_index": 0, // SDRangel instance deviceset index addressed - required
"freqrange_inclusions": [
[145170000, 145900000] // List of frequency ranges in Hz to include in processing - optional
],
"freqrange_exclusions": [ // List of frequency ranges in Hz to exclude from processing - optional
[145000000, 145170000],
[145290000, 145335000],
[145800000, 146000000]
],
"channel_info": [ // List of controlled channels - required
{ // Channel information - at least one required
"index": 0, // Index of channel in deviceset - required
"fc_pos": "usb", // Center frequency position in hotspot - optional: default center
// lsb: center frequency at end of hotspot (higher frequency)
// usb: center frequency at beginning of hotspot (lower frequency)
// canter: center frequency at mid-point of hotspot (center frequency)
"fc_shift": -300 // Center frequency constant shift from computed frequency - optional
},
{
"index": 2
},
{
"index": 3
}
]
}
Run with supervisord
Refer to supervisord documentation.
Esample of superscanner.conf
file to put in your /etc//etc/supervisor/conf.d/
folder (add it in the [include]
section of /etc/supervisor/supervisord.conf
). Environment variable PYTHONUNBUFFERED=1
is important for the log tail to work correctly.
[program:superscanner]
command = /opt/build/sdrangel/scriptsapi/venv/bin/python /opt/build/sdrangel/scriptsapi/superscanner.py -a 192.168.0.24 -c /home/f4exb/145M_scan.config.json -g 4 -r 3125 -f -65
process_name = superscanner
user = f4exb
stopsignal = INT
autostart = false
autorestart = false
environment =
USER=f4exb,
PATH="/home/f4exb/bin:/home/f4exb/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games",
HOME="/home/f4exb",
PYTHONUNBUFFERED=1
stdout_logfile = /home/f4exb/log/superscanner.log
stdout_logfile_maxbytes = 10MB
stdout_logfile_backups = 3
redirect_stderr=true
sdrangel.py
Holds constants related to SDRangel software required by other scripts
Unit tests
Run as python <file>
in the virtual environment
test_superscanner.py
is testingsuperscanner.py