imports no stroke data by creating synthetic workout
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@@ -7,6 +7,7 @@
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import oauth2 as oauth
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import cgi
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import requests
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import arrow
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import requests.auth
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import json
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import iso8601
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@@ -33,9 +34,15 @@ import sys
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import urllib
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from requests import Request, Session
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from utils import myqueue
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from rowsandall_app.settings import C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET
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from rowers.tasks import handle_c2_import_stroke_data
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import django_rq
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queue = django_rq.get_queue('default')
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queuelow = django_rq.get_queue('low')
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queuehigh = django_rq.get_queue('low')
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# Custom error class - to raise a NoTokenError
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class C2NoTokenError(Exception):
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@@ -95,84 +102,76 @@ def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename):
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return custom_exception_handler(401,s)
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else:
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# ready to fetch. Hurray
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starttimeunix = arrow.get(startdatetime).timestamp
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res = handle_c2_import_stroke_data(r.c2token,
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c2id,
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workoutid,
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startdatetime,
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csvfilename)
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job = myqueue(queue,
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handle_c2_import_stroke_data,
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r.c2token,
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c2id,
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workoutid,
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starttimeunix,
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csvfilename)
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return 1
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# get workout metrics, then relay stroke data to an asynchronous task
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def create_async_workout(user,c2id):
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def create_async_workout(alldata,user,c2id):
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data = alldata[c2id]
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splitdata = None
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res = get_c2_workout(user,c2id)
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if (res.status_code == 200):
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data = res.json()['data']
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splitdata = None
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if 'workout' in data:
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if 'splits' in data['workout']:
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splitdata = data['workout']['splits']
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if 'intervals' in data['workout']:
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splitdata = data['workout']['intervals']
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distance = data['distance']
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c2id = data['id']
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workouttype = data['type']
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verified = data['verified']
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startdatetime = iso8601.parse_date(data['date'])
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weightclass = data['weight_class']
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weightcategory = 'hwt'
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if weightclass == "L":
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weightcategory = 'lwt'
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distance = data['distance']
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c2id = data['id']
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workouttype = data['type']
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verified = data['verified']
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startdatetime = iso8601.parse_date(data['date'])
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weightclass = data['weight_class']
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weightcategory = 'hwt'
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if weightclass == "L":
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weightcategory = 'lwt'
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# Create CSV file name and save data to CSV file
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csvfilename ='media/Import_'+str(c2id)+'.csv.gz'
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# Create CSV file name and save data to CSV file
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csvfilename ='media/Import_'+str(c2id)+'.csv.gz'
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totaltime = data['time']/10.
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duration = dataprep.totaltime_sec_to_string(totaltime)
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totaltime = data['time']/10.
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duration = dataprep.totaltime_sec_to_string(totaltime)
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try:
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timezone_str = tz(data['timezone'])
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except:
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timezone_str = 'UTC'
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try:
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timezone_str = tz(data['timezone'])
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except:
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timezone_str = 'UTC'
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workoutdate = startdatetime.astimezone(
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pytz.timezone(timezone_str)
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).strftime('%Y-%m-%d')
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starttime = startdatetime.astimezone(
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pytz.timezone(timezone_str)
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).strftime('%H:%M:%S')
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workoutdate = startdatetime.astimezone(
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pytz.timezone(timezone_str)
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).strftime('%Y-%m-%d')
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starttime = startdatetime.astimezone(
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pytz.timezone(timezone_str)
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).strftime('%H:%M:%S')
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r = Rower.objects.get(user=user)
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r = Rower.objects.get(user=user)
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w = Workout(
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user=r,
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workouttype = workouttype,
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name = 'Imported workout',
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date = workoutdate,
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starttime = starttime,
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startdatetime = startdatetime,
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timezone = timezone_str,
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duration = duration,
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distance=distance,
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weightcategory = weightcategory,
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uploadedtoc2 = c2id,
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csvfilename = csvfilename,
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notes = 'imported from Concept2 log'
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)
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w = Workout(
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user=r,
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workouttype = workouttype,
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name = 'Imported workout',
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date = workoutdate,
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starttime = starttime,
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startdatetime = startdatetime,
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timezone = timezone_str,
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duration = duration,
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distance=distance,
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weightcategory = weightcategory,
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uploadedtoc2 = c2id,
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csvfilename = csvfilename,
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notes = 'imported from Concept2 log'
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)
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w.save()
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w.save()
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# Check if workout has stroke data, and get the stroke data
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if data['stroke_data']:
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result = add_stroke_data(user,c2id,w.id,startdatetime,csvfilename)
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else:
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# create synthetic stroke data
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pass
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# Check if workout has stroke data, and get the stroke data
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result = add_stroke_data(user,c2id,w.id,startdatetime,csvfilename)
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return w.id
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@@ -56,7 +56,7 @@ def add(x, y):
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@app.task
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def handle_c2_import_stroke_data(c2token,
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c2id,workoutid,
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startdatetime,
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starttimeunix,
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csvfilename,debug=True):
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authorizationstring = str('Bearer ' + c2token)
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headers = {'Authorization': authorizationstring,
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@@ -66,7 +66,6 @@ def handle_c2_import_stroke_data(c2token,
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s = requests.get(url,headers=headers)
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if s.status_code == 200:
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strokedata = pd.DataFrame.from_dict(s.json()['data'])
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starttimeunix = arrow.get(startdatetime).timestamp
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result = add_c2_stroke_data_db(
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strokedata,workoutid,starttimeunix,
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csvfilename,debug=debug,
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@@ -46,11 +46,7 @@
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{% for workout in workouts %}
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<tr>
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<td>
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{% if workout|lookup:'source' != 'Web' %}
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<a href="/rowers/workout/c2import/{{ workout|lookup:'id' }}/">Import</a></td>
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{% else %}
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{% endif %}
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<td>{{ workout|lookup:'starttime' }}</td>
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<td>{{ workout|lookup:'duration' }}</td>
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<td>{{ workout|lookup:'distance' }}</td>
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@@ -58,11 +54,8 @@
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<td>{{ workout|lookup:'source' }}</td>
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<td>{{ workout|lookup:'comment' }}</td>
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<td>
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{% if workout|lookup:'source' != 'Web' %}
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{{ workout|lookup:'new' }}
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{% else %}
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{% endif %}</td>
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</td>
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</tr>
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{% endfor %}
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@@ -3190,7 +3190,6 @@ def addmanual_view(request):
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)
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print duration,'aap'
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id,message = dataprep.create_row_df(r,
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distance,
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duration,startdatetime,
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@@ -9110,12 +9109,18 @@ def workout_getc2workout_all(request,page=1,message=""):
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else:
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r = getrower(request.user)
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c2ids = [item['id'] for item in res.json()['data'] if item['source'] != 'Web']
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alldata = {}
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for item in res.json()['data']:
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alldata[item['id']] = item
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knownc2ids = uniqify([
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w.uploadedtoc2 for w in Workout.objects.filter(user=r)
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])
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newids = [c2id for c2id in c2ids if not c2id in knownc2ids]
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for c2id in newids:
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workoutid = c2stuff.create_async_workout(request.user,c2id)
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workoutid = c2stuff.create_async_workout(alldata,
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request.user,c2id)
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url = reverse(workouts_view)
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return HttpResponseRedirect(url)
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@@ -9366,9 +9371,51 @@ def workout_getc2workout_view(request,c2id):
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if data['stroke_data']:
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res2 = c2stuff.get_c2_workout_strokes(request.user,c2id)
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else:
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message = "This workout does not have any stroke data associated with it"
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messages.error(request,message)
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url = reverse(workout_c2import_view)
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distance = data['distance']
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c2id = data['id']
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workouttype = data['type']
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verified = data['verified']
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startdatetime = iso8601.parse_date(data['date'])
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weightclass = data['weight_class']
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weightcategory = 'hwt'
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if weightclass == "L":
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weightcategory = 'lwt'
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totaltime = data['time']/10.
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duration = dataprep.totaltime_sec_to_string(totaltime)
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duration = datetime.datetime.strptime(duration,'%H:%M:%S.%f').time()
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try:
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timezone_str = tz(data['timezone'])
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except:
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timezone_str = 'UTC'
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workoutdate = startdatetime.astimezone(
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pytz.timezone(timezone_str)
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).strftime('%Y-%m-%d')
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starttime = startdatetime.astimezone(
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pytz.timezone(timezone_str)
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).strftime('%H:%M:%S')
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r = getrower(request.user)
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id, message = dataprep.create_row_df(r,
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distance,
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duration,
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startdatetime,
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title = 'Imported from C2',
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workouttype=workouttype)
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w = Workout.objects.get(id=id)
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w.uploadedtoc2 = c2id
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w.save()
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message = "This workout does not have any stroke data associated with it. We created synthetic stroke data."
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messages.info(request,message)
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url = reverse(r.defaultlandingpage,
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kwargs = {
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'id':int(id),
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})
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return HttpResponseRedirect(url)
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# We have stroke data
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