# Python from django.utils import timezone from datetime import datetime from datetime import timedelta from datetime import date import time from django.db import IntegrityError import uuid from django.conf import settings from utils import myqueue import django_rq queue = django_rq.get_queue('default') queuelow = django_rq.get_queue('low') queuehigh = django_rq.get_queue('low') from rowers.models import ( Rower, Workout,Team, GeoCourse, TrainingMicroCycle,TrainingMesoCycle,TrainingMacroCycle, TrainingPlan,PlannedSession, ) import metrics import numpy as np import dataprep import courses # Low Level functions - to be called by higher level methods def add_workouts_plannedsession(ws,ps,r): result = 0 comments = [] errors = [] # check if all sessions have same date dates = [w.date for w in ws] if (not all(d == dates[0] for d in dates)) and ps.sessiontype not in ['challenge','cycletarget']: errors.append('For tests and training sessions, selected workouts must all be done on the same date') return result,comments,errors if len(ws)>1 and ps.sessiontype == 'test': errors.append('For tests, you can only attach one workout') return result,comments,errors wold = Workout.objects.filter(plannedsession=ps,user=r) ids = [w.id for w in wold] + [w.id for w in ws] ids = list(set(ids)) if len(ids)>1 and ps.sessiontype in ['test','coursetest']: errors.append('For tests, you can only attach one workout') return result,comments,errors # start adding sessions for w in ws: if w.date>=ps.startdate and w.date<=ps.enddate: w.plannedsession = ps w.save() result += 1 comments.append('Attached workout %i to session' % w.id) else: errors.append('Workout %i did not match session dates' % w.id) return result,comments,errors def remove_workout_plannedsession(w,ps): if w.plannedsession == ps: w.plannedsession = None w.save() return 1 return 0 def clone_planned_session(ps): ps.save() ps.pk = None # creates new instance ps.save() def timefield_to_seconds_duration(t): duration = t.hour*3600. duration += t.minute * 60. duration += t.second duration += t.microsecond/1.e6 return duration def get_session_metrics(ps): rowers = ps.rower.all() rscore = [] trimp = [] duration = [] distance = [] firstname = [] lastname = [] completedate = [] status = [] for r in rowers: rscorev = 0 trimpv = 0 durationv = 0 distancev = 0 completedatev = '' statusv = 0 ws = Workout.objects.filter(user=r,plannedsession=ps).order_by("date") if len(ws) != 0: for w in ws: distancev += w.distance durationv += timefield_to_seconds_duration(w.duration) trimpv += dataprep.workout_trimp(w) rscorev += dataprep.workout_rscore(w)[0] ratio,statusv,completiondate = is_session_complete_ws(ws,ps) try: completedatev = completiondate.strftime('%Y-%m-%d') except AttributeError: completedatev = '' durationv /= 60. trimp.append(int(trimpv)) duration.append(int(durationv)) distance.append(int(distancev)) rscore.append(int(rscorev)) firstname.append(r.user.first_name) lastname.append(r.user.last_name) status.append(statusv) completedate.append(completedatev) thedict = { 'first_name':firstname, 'last_name':lastname, 'duration':duration, 'distance':distance, 'rscore':rscore, 'trimp':trimp, 'completedate':completedate, 'status':status, } return thedict def is_session_complete_ws(ws,ps): ws = ws.order_by("date") if len(ws)==0: today = date.today() if today > ps.enddate: status = 'missed' ratio = 0 return ratio,status,None else: return 0,'not done',None value = ps.sessionvalue if ps.sessionunit == 'min': value *= 60. elif ps.sessionunit == 'km': value *= 1000. cratiomin = 1 cratiomax = 1 if ps.criterium == 'none': if ps.sessiontype == 'session': cratiomin = 0.8 cratiomax = 1.2 else: cratiomin = 0.9167 cratiomax = 1.0833 score = 0 completiondate = None for w in ws: if ps.sessionmode == 'distance': score += w.distance elif ps.sessionmode == 'time': durationseconds = timefield_to_seconds_duration(w.duration) score += durationseconds elif ps.sessionmode == 'TRIMP': trimp = dataprep.workout_trimp(w) score += trimp elif ps.sessionmode == 'rScore': rscore = dataprep.workout_rscore(w)[0] score += rscore if not completiondate and score>=cratiomin*value: completiondate = w.date ratio = score/float(value) status = 'partial' if ps.sessiontype in ['session','cycletarget']: if ps.criterium == 'exact': if ratio == 1.0: return ratio,'completed',completiondate else: if not completiondate: completiondate = ws.reverse()[0].date return ratio,'partial',completiondate elif ps.criterium == 'minimum': if ratio >= 1.0: return ratio,'completed',completiondate else: if not completiondate: completiondate = ws.reverse()[0].date return ratio,'partial',completiondate else: if ratio>cratiomin and ratio 1.0: return ratio,'completed',completiondate else: if not completiondate: completiondate = ws.reverse()[0].date return ratio,'partial',completiondate else: if not completiondate: completiondate = ws.reverse()[0].date return ratio,'partial',completiondate elif ps.sessiontype == 'coursetest': if ps.course: ( coursetime, coursemeters, coursecompleted ) = courses.get_time_course(ws,ps.course) if coursecompleted: return 1.0,'completed',completiondate else: return ratio,'partial',completiondate else: if ps.criterium == 'exact': if ratio == 1.0: return ratio,'completed',completiondate else: if not completiondate: completiondate = ws.reverse()[0].date return ratio,'partial',completiondate elif ps.criterium == 'minimum': if ratio >= 1.0: return ratio,'completed',completiondate else: if not completiondate: completiondate = ws.reverse()[0].date return ratio,'partial',completiondate else: if ratio>cratiomin and ratio