use gps
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@@ -24,6 +24,22 @@ queuehigh = django_rq.get_queue('low')
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import pandas as pd
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import pandas as pd
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from rowingdata import rowingdata as rrdata
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from rowingdata import rower as rrower
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# Wrapper around the rowingdata call to catch some exceptions
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# Checks for CSV file, then for gzipped CSV file, and if all fails, returns 0
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def rdata(file,rower=rrower()):
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try:
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res = rrdata(csvfile=file,rower=rower)
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except (IOError, IndexError, EOFError,FileNotFoundError):
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try:
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res = rrdata(csvfile=file+'.gz',rower=rower)
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except (IOError, IndexError, EOFError,FileNotFoundError):
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res = 0
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return res
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from rowers.models import (
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from rowers.models import (
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Rower, Workout,Team,
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Rower, Workout,Team,
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GeoCourse, TrainingMicroCycle,TrainingMesoCycle,TrainingMacroCycle,
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GeoCourse, TrainingMicroCycle,TrainingMesoCycle,TrainingMacroCycle,
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@@ -1531,6 +1547,14 @@ def add_workout_race(ws,race,r,splitsecond=0,recordid=0):
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# start adding sessions
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# start adding sessions
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if ws[0].startdatetime>=startdatetime and ws[0].startdatetime<=enddatetime:
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if ws[0].startdatetime>=startdatetime and ws[0].startdatetime<=enddatetime:
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# convert to gps
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row = rdata(ws[0].csvfilename)
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success = row.use_gpsdata()
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if success:
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row.write_csv(ws[0].csvfilename)
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dataprep.update_strokedata(ws[0].id,row.df)
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ws[0].impeller = False
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ws[0].plannedsession = race
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ws[0].plannedsession = race
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ws[0].save()
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ws[0].save()
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result += 1
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result += 1
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