kopia lustrzana https://github.com/projecthorus/chasemapper
69 wiersze
1.9 KiB
Plaintext
69 wiersze
1.9 KiB
Plaintext
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#
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# Project Horus Chase-Mapper Configuration File
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#
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# Copy this file to horusmapper.cfg and modify as required.
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#
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# Telemetry Data Source
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[source]
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# Data source type:
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# ozimux - Read data in OziMux format
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# horus_udp - Read Horus UDP Broadcast 'Payload Summary' messages
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type = ozimux
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# Ozimux Data source UDP port
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ozimux_port = 8942
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# 'Payload Summary' (also car GPS messages) UDP listen port
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horus_udp_port = 55672
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# Chase-Car Position Settings
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[car_gps]
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# Chase car Position data Source
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# none - No Chase-Car GPS
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# horus_udp - Read Horus UDP Broadcast 'Car GPS' messages
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# gpsd - Poll GPSD for positions. (TO BE IMPLEMENTED)
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source = horus_udp
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# GPSD Host/Port
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# TO BE IMPLEMENTED
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gpsd_host = localhost
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gpsd_port = 2947
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# Map Defaults
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[map]
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# Host/port to host webserver on
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flask_host = 0.0.0.0
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flask_port = 5001
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# Default map centre
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default_lat = -34.9
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default_lon = 138.6
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# Predictor Settings
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# Use of the predictor requires installing the CUSF Predictor Python Wrapper from here:
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# https://github.com/darksidelemm/cusf_predictor_wrapper
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# You also need to compile the predictor binary, and copy it into this directory.
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[predictor]
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# Enable Predictor (True/False)
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predictor_enabled = False
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# Predictor defaults - these can be modified at runtime in the web interface.
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default_burst = 30000
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default_descent_rate = 5.0
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# Predictory Binary Location
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# Where to find the built CUSF predictor binary. This will usually be ./pred or pred.exe (on Windows)
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pred_binary = ./pred
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# Directory containing GFS model data.
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gfs_directory = ./gfs/
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# Wind Model Download Command
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# Optional command to enable downloading of wind data via a web client button.
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# Example: (this will require copying the get_wind_data.py script to this dirctory)
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# model_download = python get_wind_data.py --lat=-33 --lon=139 --latdelta=10 --londelta=10 -f 24 -m 0p50 -o gfs
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# The gfs directory (above) will be cleared of all .dat files prior to the above command being run.
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model_download = none
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