clean up wsjt remainders in absctract code
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@ -285,16 +285,17 @@ google_maps_api_key = ""
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# in seconds; default: 2 hours
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map_position_retention_time = 2 * 60 * 60
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# wsjt decoder queue configuration
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# due to the nature of the wsjt operating modes (ft8, ft8, jt9, jt65 and wspr), the data is recorded for a given amount
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# of time (6.5 seconds up to 2 minutes) and decoded at the end. this can lead to very high peak loads.
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# decoder queue configuration
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# due to the nature of some operating modes (ft8, ft8, jt9, jt65, wspr and js8), the data is recorded for a given amount
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# of time (6 seconds up to 2 minutes) and decoded at the end. this can lead to very high peak loads.
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# to mitigate this, the recordings will be queued and processed in sequence.
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# the number of workers will limit the total amount of work (one worker will losely occupy one cpu / thread)
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wsjt_queue_workers = 2
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decoding_queue_workers = 2
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# the maximum queue length will cause decodes to be dumped if the workers cannot keep up
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# if you are running background services, make sure this number is high enough to accept the task influx during peaks
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# i.e. this should be higher than the number of wsjt services running at the same time
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wsjt_queue_length = 10
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# i.e. this should be higher than the number of decoding services running at the same time
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decoding_queue_length = 10
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# wsjt decoding depth will allow more results, but will also consume more cpu
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wsjt_decoding_depth = 3
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# can also be set for each mode separately
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@ -303,6 +304,8 @@ wsjt_decoding_depths = {"jt65": 1}
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# JS8 comes in different speeds: normal, slow, fast, turbo. This setting controls which ones are enabled.
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js8_enabled_profiles = ["normal", "slow"]
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# JS8 decoding depth; higher value will get more results, but will also consume more cpu
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js8_decoding_depth = 3
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temporary_directory = "/tmp"
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