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awoodard |
1.1 |
from DatabaseParser import *
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class StreamMonitor:
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def getStreamACoreRatesByLS(self,parser,ls_list,config,isCol=True):
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a_rates = parser.GetTrigRatesInLSRange('AOutput',ls_list) # AOutput = Parking trigs + core trig
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prompt_a_rates = parser.GetTrigRatesInLSRange('DQMOutput',ls_list)
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b_rates = parser.GetTrigRatesInLSRange('BOutput',ls_list) # BOutput = Parking trigs ps'd by 20
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ps_columns = parser.GetPSColumnsInLSRange(ls_list)
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HLT_Stream_A = {}
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for ls in ls_list:
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a_rate = a_rates.get(ls,0)
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prompt_a_rate = prompt_a_rates.get(ls,0)*10
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b_rate = b_rates.get(ls,0)*20
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if isCol and (ps_columns.get(ls) != config.CircBeamCol):
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HLT_Stream_A[ls] = prompt_a_rate
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else:
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HLT_Stream_A[ls] = a_rate - b_rate
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return HLT_Stream_A
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def getStreamARatesByLS(self,parser,ls_list):
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a_rates = parser.GetTrigRatesInLSRange('AOutput',ls_list) # AOutput = Parking trigs + core trig
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return a_rates
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def compareStreamARate(self, config, curr_stream_a, ls_list,av_inst_lumi,in_coll):
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awoodard |
1.2 |
if curr_stream_a > config.MaxStreamARate:
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bad_stream_a = True
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else:
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bad_stream_a = False
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awoodard |
1.1 |
if in_coll:
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pkl_file = open(config.FitFileName, 'rb')
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fit_input = pickle.load(pkl_file)
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awoodard |
1.2 |
try:
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pred_stream_a = fit_input['HLT_Stream_A'][1]+fit_input['HLT_Stream_A'][2]*av_inst_lumi+fit_input['HLT_Stream_A'][3]*av_inst_lumi*av_inst_lumi
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sigma = fit_input['HLT_Stream_A'][5]
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awoodard |
1.4 |
except:
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awoodard |
1.2 |
break
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awoodard |
1.4 |
#No fit for stream a; if one is desired, run DatabaseRatePredictor.py with a trigger list including 'HLT_Stream_A'
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awoodard |
1.2 |
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awoodard |
1.1 |
per_diff = (curr_stream_a - pred_stream_a)/pred_stream_a * 100
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sigma_diff = (curr_stream_a - pred_stream_a)/sigma
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if abs(sigma_diff) > config.DefAllowRateSigmaDiff*2 and config.DefWarnOnSigmaDiff:
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bad_stream_a = True
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| 50 |
awoodard |
1.3 |
if abs(per_diff) > config.DefAllowRatePercDiff and not config.DefWarnOnSigmaDiff:
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awoodard |
1.1 |
bad_stream_a = True
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return bad_stream_a
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