A simple Python-based DX-cluster parser. The cluster output is filtered with the help of ClubLog lookup, and only new DXCC calls or watched callsigns are output to the command line. The output here can be used for further processing and output to e.g. an IRC channel, a desktop screen or similar.
./get_clublog_dxcc_matrix.sh [PATH TO CONFIG FILE]
Download a matrix specifying which DXCCs have been run for a given band. The matrix is obtained as a JSON structure from ClubLog and saved to a filename specified in the config file. Correct information here requires that logs are uploaded to ClubLog.
The cluster spotter itself loads this file every time it is needed, so that e.g. a cronjob can be used to continuously update this file without restarting the spotter script.
python3 cluster_spotter.py [PATH TO CONFIG FILE]
Connect to the DXCC cluster specified in the config file and continuously parse for new callsigns. Callsigns are looked up against the ClubLog API and compared against the DXCC matrix currently contained in the DXCC matrix file. New DXCC opportunities are then printed to standard output, in addition to spots for any watched calls.
A configuration file is required for the scripts. The file contains the login information for the ClubLog API, host and port and callsign for the DX cluster, and a filename for which to save the ClubLog DXCC JSON structure. In addition, a list over callsigns can be specified so that spots for these callsigns always will be output to standard output regardless of DXCC status.
An example configuration file is shown below:
[spotter]
dxcc_matrix_filename = dxcc_matrix.dat
watched_callsigns = LA1K LA6XTA LA3WUA
callsign = YOUR_CALLSIGN
clublog_api_key = YOUR_API_KEY
cluster_host = la3waa.ddns.net
cluster_port = 8000
clublog_email = [email protected]
clublog_password = YOUR_PASSWORD
Copy this to e.g. spotter_config.conf and replace the fields by the relevant
information. The path to the config file is taken in among the command line
arguments to the scripts.