ms_srs: add min_rolling_average calculation
useful metric to detect low/zero downlink throughput for longer time periods Change-Id: I77a82a68689bc6c21cb9227dc9e7616d03e2b547
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@ -400,7 +400,7 @@ numpy = None
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class srsUEMetrics(log.Origin):
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VALID_OPERATIONS = ['avg', 'sum', 'max_rolling_avg']
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VALID_OPERATIONS = ['avg', 'sum', 'max_rolling_avg', 'min_rolling_avg']
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VALID_CRITERION = ['eq','gt','lt']
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CRITERION_TO_SYM = { 'eq' : '==', 'gt' : '>', 'lt' : '<' }
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CRYTERION_TO_SYM_OPPOSITE = { 'eq' : '!=', 'gt' : '<=', 'lt' : '>=' }
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@ -458,6 +458,9 @@ class srsUEMetrics(log.Origin):
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elif operation == 'max_rolling_avg':
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# calculate rolling average over window and take maximum value
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result = numpy.amax(numpy.convolve(sel_data, numpy.ones((window,))/window, mode='valid'))
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elif operation == 'min_rolling_avg':
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# calculate rolling average over window and take minimum value
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result = numpy.amin(numpy.convolve(sel_data, numpy.ones((window,))/window, mode='valid'))
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self.dbg(result=result, value=value)
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