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more agressive ascent rate drops
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@ -718,7 +718,7 @@ async def run_predictions_for_serial(sem, serial, value, reverse_predictions, la
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# No reverse prediction data!
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# We can only run a reverse prediction with a sonde on ascent.
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#print(f"{serial}: {value['rate']}")
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if value['rate'] > 0.5:
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if value['rate'] > ASCENT_RATE_THRESHOLD:
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# Try and run a reverse prediction
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logging.info(f"Running reverse predict for {serial}")
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@ -777,9 +777,14 @@ async def run_predictions_for_serial(sem, serial, value, reverse_predictions, la
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#print(_flight_profile)
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logging.debug(f"Running prediction for {serial} using flight profile {str(_flight_profile)}.")
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# skip when close to 0.
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if value['rate'] < ASCENT_RATE_THRESHOLD and value['rate'] > -ASCENT_RATE_THRESHOLD:
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logging.debug(f"Skipping {serial} due to ascent rate limiting.")
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return False
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# Determine current ascent rate
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# If the value is < 0.5 (e.g. we are on descent, or not moving), we just use a default value.
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ascent_rate=value['rate'] if value['rate'] > 0.5 else _flight_profile['ascent_rate']
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ascent_rate=value['rate'] if value['rate'] > ASCENT_RATE_THRESHOLD else _flight_profile['ascent_rate']
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# If we are on descent, estimate the sea-level descent rate from the current descent rate
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# Otherwise, use the flight profile descent rate
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@ -787,7 +792,7 @@ async def run_predictions_for_serial(sem, serial, value, reverse_predictions, la
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# If the resultant sea-level descent rate is very small, it means we're probably landed
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# so dont run a prediction for this sonde.
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if descent_rate < 0.5:
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if descent_rate < ASCENT_RATE_THRESHOLD:
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return False
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# Now to determine the burst altitude
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