diff --git a/data.txt b/data.txt new file mode 100644 index 00000000..de83340c --- /dev/null +++ b/data.txt @@ -0,0 +1 @@ +{"distance": 13878, "user_id": 457764, "ranked": false, "weight_class": "L", "verified": false, "workout_type": false, "comments": "\n from speedcoach2v2.15 via rowsandall.com", "heart_rate": {"max": 158, "average": 156}, "source": "rowingdata", "date_utc": "2018-06-30 05:31:01", "time_formatted": "1:21:16.7", "time": 48767, "date": "2018-06-30 07:31:01", "timezone": "Europe/Prague", "type": "water", "id": 33991243, "stroke_data": true} \ No newline at end of file diff --git a/rowers/c2stuff.py b/rowers/c2stuff.py index 41201a7e..600e70e1 100644 --- a/rowers/c2stuff.py +++ b/rowers/c2stuff.py @@ -3,42 +3,15 @@ # (There is still some stuff defined directly in views.py. Need to # move that here.) -# Python -import oauth2 as oauth -import cgi -import requests -import arrow -import requests.auth -import json -import iso8601 -from django.utils import timezone -from datetime import datetime -from datetime import timedelta -import time - -# Django -from django.shortcuts import render_to_response -from django.http import HttpResponseRedirect, HttpResponse,JsonResponse -from django.conf import settings -from django.contrib.auth import authenticate, login, logout -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required -import dataprep -import pytz -from rowingdata import rowingdata -import pandas as pd -import numpy as np -from rowers.models import Rower,Workout -from rowers.models import checkworkoutuser -import sys -import urllib +from rowers.imports import * +import datetime from requests import Request, Session -from utils import myqueue,uniqify,isprorower, custom_exception_handler, NoTokenError - from rowers.types import otwtypes -from rowsandall_app.settings import C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET +from rowsandall_app.settings import ( + C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET + ) from rowers.tasks import handle_c2_import_stroke_data import django_rq @@ -46,6 +19,18 @@ queue = django_rq.get_queue('default') queuelow = django_rq.get_queue('low') queuehigh = django_rq.get_queue('low') +oauth_data = { + 'client_id': C2_CLIENT_ID, + 'client_secret': C2_CLIENT_SECRET, + 'redirect_uri': C2_REDIRECT_URI, + 'autorization_uri': "https://log.concept2.com/oauth/authorize", + 'content_type': 'application/x-www-form-urlencoded', + 'tokenname': 'c2token', + 'refreshtokenname': 'c2refreshtoken', + 'expirydatename': 'tokenexpirydate', + 'bearer_auth': True, + 'base_url': "https://log.concept2.com/oauth/access_token", + } # Checks if user has Concept2 tokens, resets tokens if they are @@ -337,9 +322,9 @@ def createc2workoutdata_as_splits(w): split_data.append(thisrecord) try: - durationstr = datetime.strptime(str(w.duration),"%H:%M:%S.%f") + durationstr = datetime.datetime.strptime(str(w.duration),"%H:%M:%S.%f") except ValueError: - durationstr = datetime.strptime(str(w.duration),"%H:%M:%S") + durationstr = datetime.datetime.strptime(str(w.duration),"%H:%M:%S") try: newnotes = w.notes+'\n from '+w.workoutsource+' via rowsandall.com' @@ -406,13 +391,18 @@ def createc2workoutdata(w): stroke_data.append(thisrecord) try: - durationstr = datetime.strptime(str(w.duration),"%H:%M:%S.%f") + durationstr = datetime.datetime.strptime(str(w.duration),"%H:%M:%S.%f") except ValueError: - durationstr = datetime.strptime(str(w.duration),"%H:%M:%S") + durationstr = datetime.datetime.strptime(str(w.duration),"%H:%M:%S") workouttype = w.workouttype if workouttype in otwtypes: workouttype = 'water' + + try: + startdatetime = w.startdatetime.isoformat() + except AttributeError: + startdate = datetime.datetime.combine(w.date,datetime.time()) data = { "type": workouttype, @@ -451,6 +441,7 @@ def do_refresh_token(refreshtoken): prepped.body+=scope response = s.send(prepped) + token_json = response.json() try: thetoken = token_json['access_token'] @@ -488,19 +479,8 @@ def get_token(code): prepped.body+="&scope=" prepped.body+=scope - print prepped.body - response = s.send(prepped) - with open("media/c2authorize.log","a") as f: - try: - f.write(reponse.status_code+"\n") - f.write(reponse.text+"\n") - f.write(response.json+"\n\n") - except: - pass - - token_json = response.json() try: @@ -540,14 +520,14 @@ def make_authorization_url(request): return HttpResponseRedirect(url) # Get workout from C2 ID -def get_c2_workout(user,c2id): +def get_workout(user,c2id): r = Rower.objects.get(user=user) if (r.c2token == '') or (r.c2token is None): s = "Token doesn't exist. Need to authorize" - return custom_exception_handler(401,s) + return custom_exception_handler(401,s) ,0 elif (timezone.now()>r.tokenexpirydate): s = "Token expired. Needs to refresh." - return custom_exception_handler(401,s) + return custom_exception_handler(401,s),0 else: # ready to fetch. Hurray authorizationstring = str('Bearer ' + r.c2token) @@ -557,7 +537,28 @@ def get_c2_workout(user,c2id): url = "https://log.concept2.com/api/users/me/results/"+str(c2id) s = requests.get(url,headers=headers) - return s + + data = s.json()['data'] + splitdata = None + + if 'workout' in data: + if 'splits' in data['workout']: + splitdata = data['workout']['splits'] + if 'intervals' in data['workout']: + splitdata = data['workout']['intervals'] + + # Check if workout has stroke data, and get the stroke data + + if data['stroke_data']: + res2 = get_c2_workout_strokes(user,c2id) + if res2.status_code == 200: + strokedata = pd.DataFrame.from_dict(res2.json()['data']) + else: + strokedata = pd.DataFrame() + else: + strokedata = pd.DataFrame() + + return data,strokedata # Get stroke data belonging to C2 ID def get_c2_workout_strokes(user,c2id): @@ -689,7 +690,8 @@ def workout_c2_upload(user,w): w.save() elif (response.status_code == 201 or response.status_code == 200): try: - s= json.loads(response.text) +# s= json.loads(response.text) + s = response.json() c2id = s['data']['id'] w.uploadedtoc2 = c2id w.save() @@ -699,7 +701,6 @@ def workout_c2_upload(user,w): c2id = 0 else: - print response.status_code message = "Something went wrong in workout_c2_upload_view. Response code 200/201 but C2 sync failed: "+response.text c2id = 0 @@ -713,7 +714,7 @@ def rower_c2_token_refresh(user): access_token = res[0] expires_in = res[1] refresh_token = res[2] - expirydatetime = timezone.now()+timedelta(seconds=expires_in) + expirydatetime = timezone.now()+datetime.timedelta(seconds=expires_in) r = Rower.objects.get(user=user) r.c2token = access_token @@ -725,3 +726,154 @@ def rower_c2_token_refresh(user): else: return None +# Create workout data from Strava or Concept2 +# data and create the associated Workout object and save it +def add_workout_from_data(user,importid,data,strokedata, + source='c2',splitdata=None, + workoutsource='concept2'): + try: + workouttype = data['type'] + except KeyError: + workouttype = 'rower' + + if workouttype not in [x[0] for x in Workout.workouttypes]: + workouttype = 'other' + try: + comments = data['comments'] + except: + comments = ' ' + + try: + thetimezone = tz(data['timezone']) + except: + thetimezone = 'UTC' + + r = Rower.objects.get(user=user) + try: + rowdatetime = iso8601.parse_date(data['date_utc']) + except KeyError: + rowdatetime = iso8601.parse_date(data['start_date']) + except ParseError: + rowdatetime = iso8601.parse_date(data['date']) + + + try: + c2intervaltype = data['workout_type'] + + except KeyError: + c2intervaltype = '' + + try: + title = data['name'] + except KeyError: + title = "" + try: + t = data['comments'].split('\n', 1)[0] + title += t[:20] + except: + title = 'Imported' + + starttimeunix = arrow.get(rowdatetime).timestamp + + res = make_cumvalues(0.1*strokedata['t']) + cum_time = res[0] + lapidx = res[1] + + unixtime = cum_time+starttimeunix + # unixtime[0] = starttimeunix + seconds = 0.1*strokedata.ix[:,'t'] + + nr_rows = len(unixtime) + + try: + latcoord = strokedata.ix[:,'lat'] + loncoord = strokedata.ix[:,'lon'] + except: + latcoord = np.zeros(nr_rows) + loncoord = np.zeros(nr_rows) + + + try: + strokelength = strokedata.ix[:,'strokelength'] + except: + strokelength = np.zeros(nr_rows) + + dist2 = 0.1*strokedata.ix[:,'d'] + + try: + spm = strokedata.ix[:,'spm'] + except KeyError: + spm = 0*dist2 + + try: + hr = strokedata.ix[:,'hr'] + except KeyError: + hr = 0*spm + pace = strokedata.ix[:,'p']/10. + pace = np.clip(pace,0,1e4) + pace = pace.replace(0,300) + + velo = 500./pace + + power = 2.8*velo**3 + + # save csv + # Create data frame with all necessary data to write to csv + df = pd.DataFrame({'TimeStamp (sec)':unixtime, + ' Horizontal (meters)': dist2, + ' Cadence (stokes/min)':spm, + ' HRCur (bpm)':hr, + ' longitude':loncoord, + ' latitude':latcoord, + ' Stroke500mPace (sec/500m)':pace, + ' Power (watts)':power, + ' DragFactor':np.zeros(nr_rows), + ' DriveLength (meters)':np.zeros(nr_rows), + ' StrokeDistance (meters)':strokelength, + ' DriveTime (ms)':np.zeros(nr_rows), + ' StrokeRecoveryTime (ms)':np.zeros(nr_rows), + ' AverageDriveForce (lbs)':np.zeros(nr_rows), + ' PeakDriveForce (lbs)':np.zeros(nr_rows), + ' lapIdx':lapidx, + ' ElapsedTime (sec)':seconds + }) + + + df.sort_values(by='TimeStamp (sec)',ascending=True) + + timestr = strftime("%Y%m%d-%H%M%S") + + + # Create CSV file name and save data to CSV file + csvfilename ='media/{code}_{importid}.csv'.format( + importid=importid, + code = uuid4().hex[:16] + ) + + res = df.to_csv(csvfilename+'.gz',index_label='index', + compression='gzip') + + + # with Concept2 + if source=='c2': + try: + totaldist = data['distance'] + totaltime = data['time']/10. + except KeyError: + totaldist = 0 + totaltime = 0 + else: + totaldist = 0 + totaltime = 0 + + id,message = dataprep.save_workout_database( + csvfilename,r, + workouttype=workouttype, + title=title,notes=comments, + workoutsource=workoutsource, + dosummary=True + ) + + + + return id,message diff --git a/rowers/dataprep.py b/rowers/dataprep.py index 8e346aba..0f5e03ab 100644 --- a/rowers/dataprep.py +++ b/rowers/dataprep.py @@ -34,7 +34,7 @@ from rowingdata import ( MysteryParser, BoatCoachOTWParser,QuiskeParser, painsledDesktopParser, speedcoachParser, ErgStickParser, SpeedCoach2Parser, FITParser, fitsummarydata, - RitmoTimeParser, + RitmoTimeParser,KinoMapParser, make_cumvalues,cumcpdata,ExcelTemplate, summarydata, get_file_type, ) @@ -1073,6 +1073,7 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower', return (w.id, message) parsers = { + 'kinomap': KinoMapParser, 'xls': ExcelTemplate, 'rp': RowProParser, 'tcx':TCXParser, @@ -1173,6 +1174,7 @@ def new_workout_from_file(r, f2, message = None try: fileformat = get_file_type(f2) + print fileformat,'aap' except IOError: os.remove(f2) message = "Rowsandall could not process this file. The extension is supported but the file seems corrupt. Contact info@rowsandall.com if you think this is incorrect." diff --git a/rowers/imports.py b/rowers/imports.py new file mode 100644 index 00000000..502b007b --- /dev/null +++ b/rowers/imports.py @@ -0,0 +1,244 @@ +# All the functionality to connect to SportTracks + +# Python +import oauth2 as oauth +import cgi +import pytz +import requests +import requests.auth +import json +from django.utils import timezone +from datetime import datetime +from datetime import timedelta +import arrow +import numpy as np +from dateutil import parser +import time +from time import strftime + +import dataprep +import math +from math import sin,cos,atan2,sqrt +import os,sys +import urllib +import iso8601 +from uuid import uuid4 + +# Django +from django.shortcuts import render_to_response +from django.http import HttpResponseRedirect, HttpResponse,JsonResponse +from django.conf import settings +from django.contrib.auth import authenticate, login, logout +from django.contrib.auth.models import User +from django.contrib.auth.decorators import login_required + +# Project +# from .models import Profile +from rowingdata import rowingdata, make_cumvalues +import pandas as pd +from rowers.models import Rower,Workout,checkworkoutuser +from rowers import types +from rowsandall_app.settings import ( + C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, + STRAVA_CLIENT_ID, STRAVA_REDIRECT_URI, + STRAVA_CLIENT_SECRET, SPORTTRACKS_CLIENT_SECRET, + SPORTTRACKS_CLIENT_ID, SPORTTRACKS_REDIRECT_URI + ) + +from utils import ( + NoTokenError, custom_exception_handler, ewmovingaverage, + geo_distance + ) + + +# Splits SportTracks data which is one long sequence of +# [t,[lat,lon],t2,[lat2,lon2] ...] +# to [t,t2,t3, ...], [[lat,long],[lat2,long2],... +def splitstdata(lijst): + t = [] + latlong = [] + while len(lijst)>=2: + t.append(lijst[0]) + latlong.append(lijst[1]) + lijst = lijst[2:] + + return [np.array(t),np.array(latlong)] + +def splituadata(lijst): + t = [] + y = [] + for d in lijst: + t.append(d[0]) + y.append(d[1]) + + return np.array(t),np.array(y) + +def imports_open(user,oauth_data): + r = Rower.objects.get(user=user) + token = getattr(r,oauth_data['tokenname']) + try: + refreshtoken = getattr(r,oauth_data['refreshtokenname']) + except (AttributeError,KeyError): + refreshtoken = None + + try: + tokenexpirydate = getattr(r,oauth_data['expirydatename']) + except (AttributeError,KeyError): + tokenexpirydate = None + + if (token == '') or (token is None): + s = "Token doesn't exist. Need to authorize" + raise NoTokenError("User has no token") + else: + if tokenexpirydate and timezone.now()>tokenexpirydate: + token = imports_token_refresh( + user,oauth_data, + ) + + return token + + +# Refresh token using refresh token +def imports_do_refresh_token(refreshtoken,oauth_data,access_token=''): + client_auth = requests.auth.HTTPBasicAuth( + oauth_data['client_id'], + oauth_data['client_secret'] + ) + + post_data = {"grant_type": "refresh_token", + "client_secret": oauth_data['client_secret'], + "client_id": oauth_data['client_id'], + "refresh_token": refreshtoken, + } + headers = {'user-agent': 'sanderroosendaal', + 'Accept': 'application/json', + 'Content-Type': oauth_data['content_type']} + + if oauth_data['bearer_auth']: + headers['authorization'] = 'Bearer %s' % access_token + + baseurl = oauth_data['base_url'] + + if 'json' in oauth_data['content_type']: + response = requests.post(baseurl, + data=json.dumps(post_data), + headers=headers) + else: + response = requests.post(baseurl, + data=post_data, + headers=headers) + + token_json = response.json() + + thetoken = token_json['access_token'] + expires_in = token_json['expires_in'] + try: + refresh_token = token_json['refresh_token'] + except KeyError: + refresh_token = refreshtoken + try: + expires_in = int(expires_in) + except (TypeError,ValueError): + expires_in = 0 + + + return [thetoken,expires_in,refresh_token] + +# Exchange ST access code for long-lived ST access token +def imports_get_token( + code,oauth_data + ): + + redirect_uri = oauth_data['redirect_uri'] + client_secret = oauth_data['client_secret'] + client_id = oauth_data['client_id'] + base_uri = oauth_data['base_url'] + + + client_auth = requests.auth.HTTPBasicAuth( + client_id,client_secret + ) + + post_data = {"grant_type": "authorization_code", + "code": code, + "redirect_uri": redirect_uri, + "client_secret": client_secret, + "client_id": client_id, + } + + headers = {'Accept': 'application/json', + 'Api-Key': client_id, + 'Content-Type': 'application/json', + 'user-agent': 'sanderroosendaal'} + + + if 'json' in oauth_data['content_type']: + response = requests.post( + base_uri, + data=json.dumps(post_data), + headers=headers) + else: + response = requests.post( + base_uri, + data=post_data, + headers=headers) + + if response.status_code == 200 or response.status_code == 201: + token_json = response.json() + thetoken = token_json['access_token'] + try: + refresh_token = token_json['refresh_token'] + except KeyError: + refresh_token = '' + try: + expires_in = token_json['expires_in'] + except KeyError: + expires_in = 0 + try: + expires_in = int(expires_in) + except (ValueError,TypeError): + expires_in = 0 + else: + return [0,0,0] + + + return [thetoken,expires_in,refresh_token] + +# Make authorization URL including random string +def imports_make_authorization_url(oauth_data): + # Generate a random string for the state parameter + # Save it for use later to prevent xsrf attacks + + state = str(uuid4()) + + params = {"client_id": oauth_data['client_id'], + "response_type": "code", + "redirect_uri": oauth_data['redirect_uri'], + "scope":"write", + "state":state} + + + import urllib + url = oauth_data['authorizaton_uri']+urllib.urlencode(params) + + return HttpResponseRedirect(url) + +# This is token refresh. Looks for tokens in our database, then refreshes +def imports_token_refresh(user,tokenname,refreshtokenname,expirydatename): + r = Rower.objects.get(user=user) + + refreshtoken = getattr(r,refreshtokennname) + + res = imports_do_refresh_token(refreshtoken) + access_token = res[0] + expires_in = res[1] + refresh_token = res[2] + expirydatetime = timezone.now()+timedelta(seconds=expires_in) + + setattr(r,tokenname,access_token) + setattr(r,expirydatename,expirydatetime) + setattr(r,refreshtokenname,refresh_token) + + r.save() + return r.sporttrackstoken + diff --git a/rowers/models.py b/rowers/models.py index efeb24b2..5519af85 100644 --- a/rowers/models.py +++ b/rowers/models.py @@ -1836,10 +1836,12 @@ class RowerExportForm(ModelForm): 'stravaexportas', 'polar_auto_import', 'c2_auto_export', + 'c2_auto_import', 'mapmyfitness_auto_export', 'runkeeper_auto_export', 'sporttracks_auto_export', 'strava_auto_export', + 'strava_auto_import', 'trainingpeaks_auto_export', ] diff --git a/rowers/runkeeperstuff.py b/rowers/runkeeperstuff.py index 8f8afb71..0ef8967e 100644 --- a/rowers/runkeeperstuff.py +++ b/rowers/runkeeperstuff.py @@ -1,34 +1,6 @@ # All the functionality needed to connect to Runkeeper - -# Python -import oauth2 as oauth -import pytz -import cgi -import requests -import requests.auth -import json -from django.utils import timezone -from datetime import datetime -import numpy as np -from dateutil import parser -import time -import math -from math import sin,cos,atan2,sqrt -import os,sys - -# Django -from django.shortcuts import render_to_response -from django.http import HttpResponseRedirect, HttpResponse,JsonResponse -from django.conf import settings -from django.contrib.auth import authenticate, login, logout -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required - -# Project -# from .models import Profile -from rowingdata import rowingdata -import pandas as pd -from rowers.models import Rower,Workout,checkworkoutuser +from rowers.imports import * +import re from rowsandall_app.settings import ( C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, @@ -36,56 +8,50 @@ from rowsandall_app.settings import ( RUNKEEPER_CLIENT_ID, RUNKEEPER_CLIENT_SECRET,RUNKEEPER_REDIRECT_URI, ) -from utils import geo_distance,ewmovingaverage,NoTokenError, custom_exception_handler +oauth_data = { + 'client_id': RUNKEEPER_CLIENT_ID, + 'client_secret': RUNKEEPER_CLIENT_SECRET, + 'redirect_uri': RUNKEEPER_REDIRECT_URI, + 'autorization_uri': "https://www.runkeeper.com/opps/authorize", + 'content_type': 'application/x-www-form-urlencoded', + 'tokenname': 'runkeepertoken', + 'bearer_auth': True, + 'base_url': "https://runkeeper.com/apps/token", + } + + +def splitrunkeeperlatlongdata(lijst,tname,latname,lonname): + t = [] + lat = [] + lon = [] + for d in lijst: + t.append(d[tname]) + lat.append(d[latname]) + lon.append(d[lonname]) + + return [np.array(t),np.array(lat),np.array(lon)] + +def splitrunkeeperdata(lijst,xname,yname): + x = [] + y = [] + for d in lijst: + x.append(d[xname]) + y.append(d[yname]) + + return [np.array(x),np.array(y)] # Checks if user has SportTracks token, renews them if they are expired def runkeeper_open(user): - r = Rower.objects.get(user=user) - if (r.runkeepertoken == '') or (r.runkeepertoken is None): - s = "Token doesn't exist. Need to authorize" - raise NoTokenError("User has no token") - else: - thetoken = r.runkeepertoken - - return thetoken + return imports_open(user,oauth_data) # Exchange access code for long-lived access token def get_token(code): - client_auth = requests.auth.HTTPBasicAuth(RUNKEEPER_CLIENT_ID, RUNKEEPER_CLIENT_SECRET) - post_data = {"grant_type": "authorization_code", - "code": code, - "redirect_uri": RUNKEEPER_REDIRECT_URI, - "client_secret": RUNKEEPER_CLIENT_SECRET, - "client_id":RUNKEEPER_CLIENT_ID, - } - headers = {'user-agent': 'sanderroosendaal'} - response = requests.post("https://runkeeper.com/apps/token", - data=post_data, - headers=headers) - try: - token_json = response.json() - thetoken = token_json['access_token'] - except KeyError: - thetoken = 0 - - return thetoken + return imports_get_token(code,oauth_data) # Make authorization URL including random string def make_authorization_url(request): - # Generate a random string for the state parameter - # Save it for use later to prevent xsrf attacks - from uuid import uuid4 - state = str(uuid4()) - - params = {"client_id": RUNKEEPER_CLIENT_ID, - "response_type": "code", - "redirect_uri": RUNKEEPER_REDIRECT_URI, - } - import urllib - url = "https://www.runkeeper.com/opps/authorize" +urllib.urlencode(params) - - return HttpResponseRedirect(url) + return imports_make_authorization_url(oauth_data) # Get list of workouts available on Runkeeper def get_runkeeper_workout_list(user): @@ -105,7 +71,7 @@ def get_runkeeper_workout_list(user): return s # Get workout summary data by Runkeeper ID -def get_runkeeper_workout(user,runkeeperid): +def get_workout(user,runkeeperid): r = Rower.objects.get(user=user) if (r.runkeepertoken == '') or (r.runkeepertoken is None): return custom_exception_handler(401,s) @@ -119,7 +85,16 @@ def get_runkeeper_workout(user,runkeeperid): url = "https://api.runkeeper.com/fitnessActivities/"+str(runkeeperid) s = requests.get(url,headers=headers) - return s + try: + data = s.json() + except ValueError: + data = {} + + strokedata = pd.DataFrame.from_dict({ + key: pd.Series(value) for key, value in data.items() + }) + + return data,strokedata # Create Workout Data for upload to SportTracks def createrunkeeperworkoutdata(w): @@ -227,8 +202,10 @@ def createrunkeeperworkoutdata(w): # upload def getidfromresponse(response): uri = response.headers["Location"] - id = uri[len(uri)-9:] - + + tester = re.compile('^\/fitnessActivities\/(\d+)$') + id = int(tester.match(uri).group(1)) + return int(id) def geturifromid(access_token,id): @@ -328,3 +305,183 @@ def workout_runkeeper_upload(user,w): return message, rkid return message,rkid + +# Create workout from RunKeeper Data +def add_workout_from_data(user,importid,data,strokedata,source='runkeeper', + workoutsource='runkeeper'): + # To Do - add utcoffset to time + workouttype = data['type'] + if workouttype not in [x[0] for x in Workout.workouttypes]: + workouttype = 'other' + try: + comments = data['notes'] + except: + comments = '' + + try: + utcoffset = tz(data['utcoffset']) + except: + utcoffset = 0 + + r = Rower.objects.get(user=user) + + try: + rowdatetime = iso8601.parse_date(data['start_time']) + except iso8601.ParseError: + try: + rowdatetime = datetime.strptime(data['start_time'],"%Y-%m-%d %H:%M:%S") + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + except ValueError: + try: + rowdatetime = parser.parse(data['start_time']) + #rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + except: + rowdatetime = datetime.strptime(data['date'],"%Y-%m-%d %H:%M:%S") + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + starttimeunix = arrow.get(rowdatetime).timestamp + #starttimeunix = mktime(rowdatetime.utctimetuple()) + starttimeunix += utcoffset*3600 + + + try: + title = data['name'] + except: + title = "Imported data" + + + + res = splitrunkeeperdata(data['distance'],'timestamp','distance') + + distance = res[1] + times_distance = res[0] + + try: + l = data['path'] + + res = splitrunkeeperlatlongdata(l,'timestamp','latitude','longitude') + times_location = res[0] + latcoord = res[1] + loncoord = res[2] + + except: + times_location = times_distance + latcoord = np.zeros(len(times_distance)) + loncoord = np.zeros(len(times_distance)) + if workouttype in types.otwtypes: + workouttype = 'rower' + + try: + res = splitrunkeeperdata(data['cadence'],'timestamp','cadence') + times_spm = res[0] + spm = res[1] + except KeyError: + times_spm = times_distance + spm = 0*times_distance + + try: + res = splitrunkeeperdata(data['heart_rate'],'timestamp','heart_rate') + hr = res[1] + times_hr = res[0] + except KeyError: + times_hr = times_distance + hr = 0*times_distance + + + # create data series and remove duplicates + distseries = pd.Series(distance,index=times_distance) + distseries = distseries.groupby(distseries.index).first() + latseries = pd.Series(latcoord,index=times_location) + try: + latseries = latseries.groupby(latseries.index).first() + except TypeError: + latseries = 0.0*distseries + + lonseries = pd.Series(loncoord,index=times_location) + try: + lonseries = lonseries.groupby(lonseries.index).first() + except TypeError: + lonseries = 0.0*distseries + + spmseries = pd.Series(spm,index=times_spm) + spmseries = spmseries.groupby(spmseries.index).first() + hrseries = pd.Series(hr,index=times_hr) + try: + hrseries = hrseries.groupby(hrseries.index).first() + except TypeError: + hrseries = 0*distseries + + + # Create dicts and big dataframe + d = { + ' Horizontal (meters)': distseries, + ' latitude': latseries, + ' longitude': lonseries, + ' Cadence (stokes/min)': spmseries, + ' HRCur (bpm)' : hrseries, + } + + + + df = pd.DataFrame(d) + + df = df.groupby(level=0).last() + + cum_time = df.index.values + df[' ElapsedTime (sec)'] = cum_time + + velo = df[' Horizontal (meters)'].diff()/df[' ElapsedTime (sec)'].diff() + + df[' Power (watts)'] = 0.0*velo + + nr_rows = len(velo.values) + + df[' DriveLength (meters)'] = np.zeros(nr_rows) + df[' StrokeDistance (meters)'] = np.zeros(nr_rows) + df[' DriveTime (ms)'] = np.zeros(nr_rows) + df[' StrokeRecoveryTime (ms)'] = np.zeros(nr_rows) + df[' AverageDriveForce (lbs)'] = np.zeros(nr_rows) + df[' PeakDriveForce (lbs)'] = np.zeros(nr_rows) + df[' lapIdx'] = np.zeros(nr_rows) + + + + unixtime = cum_time+starttimeunix + try: + unixtime[0] = starttimeunix + except IndexError: + return (0,'No data to import') + + df['TimeStamp (sec)'] = unixtime + + + dt = np.diff(cum_time).mean() + wsize = round(5./dt) + + # velo2 = stravastuff.ewmovingaverage(velo,wsize) + + # df[' Stroke500mPace (sec/500m)'] = 500./velo2 + + + df = df.fillna(0) + + df.sort_values(by='TimeStamp (sec)',ascending=True) + + timestr = strftime("%Y%m%d-%H%M%S") + +# csvfilename ='media/Import_'+str(importid)+'.csv' + csvfilename ='media/{code}_{importid}.csv'.format( + importid=importid, + code = uuid4().hex[:16] + ) + + res = df.to_csv(csvfilename+'.gz',index_label='index', + compression='gzip') + + id,message = dataprep.save_workout_database(csvfilename,r, + workouttype=workouttype, + workoutsource='runkeeper', + title=title, + notes=comments) + + return (id,message) + diff --git a/rowers/sporttracksstuff.py b/rowers/sporttracksstuff.py index 8190cbdb..16751f82 100644 --- a/rowers/sporttracksstuff.py +++ b/rowers/sporttracksstuff.py @@ -1,144 +1,42 @@ # All the functionality to connect to SportTracks -# Python -import oauth2 as oauth -import cgi -import requests -import requests.auth -import json -from django.utils import timezone -from datetime import datetime -import numpy as np -from dateutil import parser -import time -import math -from math import sin,cos,atan2,sqrt - -import urllib -import c2stuff -import pytz - -# Django -from django.shortcuts import render_to_response -from django.http import HttpResponseRedirect, HttpResponse,JsonResponse -from django.conf import settings -from django.contrib.auth import authenticate, login, logout -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required - -# Project -# from .models import Profile -from rowingdata import rowingdata -import pandas as pd -from rowers.models import Rower,Workout,checkworkoutuser - -from rowsandall_app.settings import C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, STRAVA_CLIENT_ID, STRAVA_REDIRECT_URI, STRAVA_CLIENT_SECRET, SPORTTRACKS_CLIENT_SECRET, SPORTTRACKS_CLIENT_ID, SPORTTRACKS_REDIRECT_URI - -from utils import NoTokenError, custom_exception_handler +from rowers.imports import * +import re +from rowsandall_app.settings import ( + C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, + STRAVA_CLIENT_ID, STRAVA_REDIRECT_URI, STRAVA_CLIENT_SECRET, + SPORTTRACKS_CLIENT_SECRET, SPORTTRACKS_CLIENT_ID, SPORTTRACKS_REDIRECT_URI + ) +oauth_data = { + 'client_id': SPORTTRACKS_CLIENT_ID, + 'client_secret': SPORTTRACKS_CLIENT_SECRET, + 'redirect_uri': SPORTTRACKS_REDIRECT_URI, + 'autorization_uri': "https://api.sporttracks.mobi/oauth2/authorize", + 'content_type': 'application/json', + 'tokenname': 'sporttrackstoken', + 'refreshtokenname': 'sporttracksrefreshtoken', + 'expirydatename': 'sporttrackstokenexpirydate', + 'bearer_auth': False, + 'base_url': "https://api.sporttracks.mobi/oauth2/token", + } # Checks if user has SportTracks token, renews them if they are expired def sporttracks_open(user): - r = Rower.objects.get(user=user) - if (r.sporttrackstoken == '') or (r.sporttrackstoken is None): - s = "Token doesn't exist. Need to authorize" - raise NoTokenError("User has no token") - else: - if (timezone.now()>r.sporttrackstokenexpirydate): - thetoken = rower_sporttracks_token_refresh(user) - else: - thetoken = r.sporttrackstoken - - return thetoken + return imports_open(user, oauth_data) # Refresh ST token using refresh token def do_refresh_token(refreshtoken): - client_auth = requests.auth.HTTPBasicAuth(SPORTTRACKS_CLIENT_ID, SPORTTRACKS_CLIENT_SECRET) - post_data = {"grant_type": "refresh_token", - "client_secret": SPORTTRACKS_CLIENT_SECRET, - "client_id":SPORTTRACKS_CLIENT_ID, - "refresh_token": refreshtoken, - } - headers = {'user-agent': 'sanderroosendaal', - 'Accept': 'application/json', - 'Content-Type': 'application/json'} - - url = "https://api.sporttracks.mobi/oauth2/token" - - response = requests.post(url, - data=json.dumps(post_data), - headers=headers) - - token_json = response.json() - thetoken = token_json['access_token'] - expires_in = token_json['expires_in'] - try: - refresh_token = token_json['refresh_token'] - except KeyError: - refresh_token = refreshtoken - try: - expires_in = int(expires_in) - except (TypeError,ValueError): - expires_in = 0 - - - return [thetoken,expires_in,refresh_token] + return imports_do_refresh_token(refreshtoken, oauth_data) # Exchange ST access code for long-lived ST access token def get_token(code): - client_auth = requests.auth.HTTPBasicAuth(SPORTTRACKS_CLIENT_ID, SPORTTRACKS_CLIENT_SECRET) - post_data = {"grant_type": "authorization_code", - "code": code, - "redirect_uri": SPORTTRACKS_REDIRECT_URI, - "client_secret": SPORTTRACKS_CLIENT_SECRET, - "client_id":SPORTTRACKS_CLIENT_ID, - } - headers = {'Accept': 'application/json', - 'Content-Type': 'application/json'} - - url = "https://api.sporttracks.mobi/oauth2/token" - - - response = requests.post(url, - data=json.dumps(post_data), - headers=headers) - if response.status_code == 200 or response.status_code == 201: - token_json = response.json() - thetoken = token_json['access_token'] - expires_in = token_json['expires_in'] - try: - refresh_token = token_json['refresh_token'] - except KeyError: - refresh_token = refreshtoken - try: - expires_in = int(expires_in) - except (ValueError,TypeError): - expires_in = 0 - else: - return [0,0,0] - - - return [thetoken,expires_in,refresh_token] + return imports_get_token(code,oauth_data) # Make authorization URL including random string def make_authorization_url(request): - # Generate a random string for the state parameter - # Save it for use later to prevent xsrf attacks - from uuid import uuid4 - state = str(uuid4()) - - params = {"client_id": SPORTTRACKS_CLIENT_ID, - "response_type": "code", - "redirect_uri": SPORTTRACKS_REDIRECT_URI, - "scope":"write", - "state":state} - - - import urllib - url = "https://api.sporttracks.mobi/oauth2/authorize" +urllib.urlencode(params) - - return HttpResponseRedirect(url) + return imports_make_authorization_url(oauth_data) # This is token refresh. Looks for tokens in our database, then refreshes def rower_sporttracks_token_refresh(user): @@ -155,6 +53,7 @@ def rower_sporttracks_token_refresh(user): r.sporttracksrefreshtoken = refresh_token r.save() + return r.sporttrackstoken # Get list of workouts available on SportTracks @@ -178,7 +77,7 @@ def get_sporttracks_workout_list(user): return s # Get workout summary data by SportTracks ID -def get_sporttracks_workout(user,sporttracksid): +def get_workout(user,sporttracksid): r = Rower.objects.get(user=user) if (r.sporttrackstoken == '') or (r.sporttrackstoken is None): return custom_exception_handler(401,s) @@ -195,7 +94,13 @@ def get_sporttracks_workout(user,sporttracksid): url = "https://api.sporttracks.mobi/api/v2/fitnessActivities/"+str(sporttracksid) s = requests.get(url,headers=headers) - return s + data = s.json() + + strokedata = pd.DataFrame.from_dict({ + key: pd.Series(value) for key, value in data.items() + }) + + return data,strokedata # Create Workout Data for upload to SportTracks def createsporttracksworkoutdata(w): @@ -223,9 +128,9 @@ def createsporttracksworkoutdata(w): d[0] = d[1] t = t.astype(int) d = d.astype(int) - spm = row.df[' Cadence (stokes/min)'].astype(int) + spm = row.df[' Cadence (stokes/min)'].astype(int).values spm[0] = spm[1] - hr = row.df[' HRCur (bpm)'].astype(int) + hr = row.df[' HRCur (bpm)'].astype(int).values haslatlon=1 @@ -240,7 +145,7 @@ def createsporttracksworkoutdata(w): haspower = 1 try: - power = row.df[' Power (watts)'].values + power = row.df[' Power (watts)'].astype(int).values except KeyError: haspower = 0 @@ -311,9 +216,12 @@ def createsporttracksworkoutdata(w): # Obtain SportTracks Workout ID from the response returned on successful # upload def getidfromresponse(response): - t = json.loads(response.text) + t = response.json() uri = t['uris'][0] - id = uri[len(uri)-13:len(uri)-5] + regex = '.*?sporttracks\.mobi\/api\/v2\/fitnessActivity/(\d+)$' + m = re.compile(regex).match(uri).group(1) + + id = int(m) return int(id) @@ -324,7 +232,8 @@ def workout_sporttracks_upload(user,w): # ready to upload. Hurray r = w.user - thetoken = sporttracks_open(user) + res = sporttracks_open(user) + thetoken = res[0] if (checkworkoutuser(user,w)): data = createsporttracksworkoutdata(w) @@ -332,7 +241,7 @@ def workout_sporttracks_upload(user,w): message = "Data error" stid = 0 return message,stid - + authorizationstring = str('Bearer ' + thetoken) headers = {'Authorization': authorizationstring, 'user-agent': 'sanderroosendaal', @@ -349,7 +258,7 @@ def workout_sporttracks_upload(user,w): w.save() return message, stid elif (response.status_code == 201 or response.status_code==200): - s= json.loads(response.text) + s= response.json() stid = getidfromresponse(response) w.uploadedtosporttracks = stid w.save() @@ -366,3 +275,176 @@ def workout_sporttracks_upload(user,w): return message,stid return message,stid + +# Create workout from SportTracks Data, which are slightly different +# than Strava or Concept2 data +def add_workout_from_data(user,importid,data,strokedata,source='sporttracks', + workoutsource='sporttracks'): + try: + workouttype = data['type'] + except KeyError: + workouttype = 'other' + + if workouttype not in [x[0] for x in Workout.workouttypes]: + workouttype = 'other' + try: + comments = data['comments'] + except: + comments = '' + + + r = Rower.objects.get(user=user) + try: + rowdatetime = iso8601.parse_date(data['start_time']) + except iso8601.ParseError: + try: + rowdatetime = datetime.datetime.strptime(data['start_time'],"%Y-%m-%d %H:%M:%S") + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + except: + try: + rowdatetime = dateutil.parser.parse(data['start_time']) + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + except: + rowdatetime = datetime.datetime.strptime(data['date'],"%Y-%m-%d %H:%M:%S") + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + starttimeunix = arrow.get(rowdatetime).timestamp + + try: + title = data['name'] + except: + title = "Imported data" + + try: + res = splitstdata(data['distance']) + distance = res[1] + times_distance = res[0] + except KeyError: + try: + res = splitstdata(data['heartrate']) + times_distance = res[0] + distance = 0*times_distance + except KeyError: + return (0,"No distance or heart rate data in the workout") + + + try: + l = data['location'] + + res = splitstdata(l) + times_location = res[0] + latlong = res[1] + latcoord = [] + loncoord = [] + + for coord in latlong: + lat = coord[0] + lon = coord[1] + latcoord.append(lat) + loncoord.append(lon) + except: + times_location = times_distance + latcoord = np.zeros(len(times_distance)) + loncoord = np.zeros(len(times_distance)) + if workouttype in types.otwtypes: + workouttype = 'rower' + + try: + res = splitstdata(data['cadence']) + times_spm = res[0] + spm = res[1] + except KeyError: + times_spm = times_distance + spm = 0*times_distance + + try: + res = splitstdata(data['heartrate']) + hr = res[1] + times_hr = res[0] + except KeyError: + times_hr = times_distance + hr = 0*times_distance + + + # create data series and remove duplicates + distseries = pd.Series(distance,index=times_distance) + distseries = distseries.groupby(distseries.index).first() + latseries = pd.Series(latcoord,index=times_location) + latseries = latseries.groupby(latseries.index).first() + lonseries = pd.Series(loncoord,index=times_location) + lonseries = lonseries.groupby(lonseries.index).first() + spmseries = pd.Series(spm,index=times_spm) + spmseries = spmseries.groupby(spmseries.index).first() + hrseries = pd.Series(hr,index=times_hr) + hrseries = hrseries.groupby(hrseries.index).first() + + + # Create dicts and big dataframe + d = { + ' Horizontal (meters)': distseries, + ' latitude': latseries, + ' longitude': lonseries, + ' Cadence (stokes/min)': spmseries, + ' HRCur (bpm)' : hrseries, + } + + + + df = pd.DataFrame(d) + + df = df.groupby(level=0).last() + + cum_time = df.index.values + df[' ElapsedTime (sec)'] = cum_time + + velo = df[' Horizontal (meters)'].diff()/df[' ElapsedTime (sec)'].diff() + + df[' Power (watts)'] = 0.0*velo + + nr_rows = len(velo.values) + + df[' DriveLength (meters)'] = np.zeros(nr_rows) + df[' StrokeDistance (meters)'] = np.zeros(nr_rows) + df[' DriveTime (ms)'] = np.zeros(nr_rows) + df[' StrokeRecoveryTime (ms)'] = np.zeros(nr_rows) + df[' AverageDriveForce (lbs)'] = np.zeros(nr_rows) + df[' PeakDriveForce (lbs)'] = np.zeros(nr_rows) + df[' lapIdx'] = np.zeros(nr_rows) + + + + unixtime = cum_time+starttimeunix + unixtime[0] = starttimeunix + + df['TimeStamp (sec)'] = unixtime + + + dt = np.diff(cum_time).mean() + wsize = round(5./dt) + + velo2 = ewmovingaverage(velo,wsize) + + df[' Stroke500mPace (sec/500m)'] = 500./velo2 + + + df = df.fillna(0) + + df.sort_values(by='TimeStamp (sec)',ascending=True) + + timestr = strftime("%Y%m%d-%H%M%S") + +# csvfilename ='media/Import_'+str(importid)+'.csv' + csvfilename ='media/{code}_{importid}.csv'.format( + importid=importid, + code = uuid4().hex[:16] + ) + + res = df.to_csv(csvfilename+'.gz',index_label='index', + compression='gzip') + + id,message = dataprep.save_workout_database(csvfilename,r, + workouttype=workouttype, + title=title, + notes=comments, + workoutsource='sporttracks') + + return (id,message) diff --git a/rowers/stravastuff.py b/rowers/stravastuff.py index 36ed8486..347fabe1 100644 --- a/rowers/stravastuff.py +++ b/rowers/stravastuff.py @@ -1,33 +1,7 @@ # All the functionality needed to connect to Strava - -# Python -import oauth2 as oauth -import cgi -import requests -import requests.auth -import json -import yaml -from django.utils import timezone -from datetime import datetime -import numpy as np -from dateutil import parser -import time -import math -from math import sin,cos,atan2,sqrt -import os,sys -import gzip from scipy import optimize from scipy.signal import savgol_filter -from pytz import timezone as tz,utc - -# Django -from django.shortcuts import render_to_response -from django.http import HttpResponseRedirect, HttpResponse,JsonResponse -from django.conf import settings -from django.contrib.auth import authenticate, login, logout -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required from django_mailbox.models import Message,Mailbox,MessageAttachment @@ -36,76 +10,49 @@ queue = django_rq.get_queue('default') queuelow = django_rq.get_queue('low') queuehigh = django_rq.get_queue('low') - -# Project -# from .models import Profile -from rowingdata import rowingdata -import pandas as pd -from rowers.models import Rower,Workout -from rowers.models import checkworkoutuser -import dataprep from dataprep import columndict -from utils import uniqify,isprorower,myqueue,NoTokenError, custom_exception_handler -from uuid import uuid4 + import stravalib from stravalib.exc import ActivityUploadFailed,TimeoutExceeded -import iso8601 + from iso8601 import ParseError -import pytz -import arrow -from rowsandall_app.settings import C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, STRAVA_CLIENT_ID, STRAVA_REDIRECT_URI, STRAVA_CLIENT_SECRET +from rowsandall_app.settings import ( + C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, + STRAVA_CLIENT_ID, STRAVA_REDIRECT_URI, STRAVA_CLIENT_SECRET + ) try: from json.decoder import JSONDecodeError except ImportError: JSONDecodeError = ValueError +from rowers.imports import * -from utils import geo_distance,ewmovingaverage - - +oauth_data = { + 'client_id': STRAVA_CLIENT_ID, + 'client_secret': STRAVA_CLIENT_SECRET, + 'redirect_uri': STRAVA_REDIRECT_URI, + 'autorization_uri': "https://www.strava.com/oauth/authorize", + 'content_type': 'application/json', + 'tokenname': 'stravatoken', + 'refreshtokenname': '', + 'expirydatename': '', + 'bearer_auth': True, + 'base_url': "https://www.strava.com/oauth/token", + } # Exchange access code for long-lived access token def get_token(code): - client_auth = requests.auth.HTTPBasicAuth(STRAVA_CLIENT_ID, STRAVA_CLIENT_SECRET) - post_data = {"grant_type": "authorization_code", - "code": code, - "redirect_uri": STRAVA_REDIRECT_URI, - "client_secret": STRAVA_CLIENT_SECRET, - "client_id":STRAVA_CLIENT_ID, - } - headers = {'user-agent': 'sanderroosendaal'} - response = requests.post("https://www.strava.com/oauth/token", - data=post_data, - headers=headers) - try: - token_json = response.json() - thetoken = token_json['access_token'] - except (KeyError,JSONDecodeError): - thetoken = 0 - - return [thetoken] + return imports_get_token(code, oauth_data) # Make authorization URL including random string def make_authorization_url(request): - # Generate a random string for the state parameter - # Save it for use later to prevent xsrf attacks - - state = str(uuid4()) - - params = {"client_id": STRAVA_CLIENT_ID, - "response_type": "code", - "redirect_uri": STRAVA_REDIRECT_URI, - "scope":"write"} - import urllib - url = "https://www.strava.com/oauth/authorize" +urllib.urlencode(params) - - return HttpResponseRedirect(url) + return imports_make_authorization_url(oauth_data) # Get list of workouts available on Strava def get_strava_workout_list(user,limit_n=0): @@ -242,10 +189,12 @@ def create_async_workout(alldata,user,stravaid,debug=False): return 1 -from utils import get_strava_stream +from utils import get_strava_stream + + # Get a Strava workout summary data and stroke data by ID -def get_strava_workout(user,stravaid): +def get_workout(user,stravaid): r = Rower.objects.get(user=user) if (r.stravatoken == '') or (r.stravatoken is None): s = "Token doesn't exist. Need to authorize" @@ -272,12 +221,15 @@ def get_strava_workout(user,stravaid): distancejson = get_strava_stream(r,'distance',stravaid) latlongjson = get_strava_stream(r,'latlng',stravaid) + + try: t = np.array(timejson.json()[0]['data']) nr_rows = len(t) d = np.array(distancejson.json()[1]['data']) if nr_rows == 0: return (0,"Error: Time data had zero length") + except IndexError: d = 0*t # return (0,"Error: No Distance information in the Strava data") @@ -324,6 +276,7 @@ def get_strava_workout(user,stravaid): strokelength = velo*60./(spm) strokelength[np.isinf(strokelength)] = 0.0 + pace = 500./(1.0*velo2) pace[np.isinf(pace)] = 0.0 @@ -337,10 +290,11 @@ def get_strava_workout(user,stravaid): 'strokelength':strokelength, }) + # startdatetime = datetime.datetime.strptime(startdatetime,"%Y-%m-%d-%H:%M:%S") return [workoutsummary,df] - + # Generate Workout data for Strava (a TCX file) def createstravaworkoutdata(w,dozip=True): filename = w.csvfilename @@ -421,6 +375,144 @@ def handle_stravaexport(f2,workoutname,stravatoken,description='', return (res.id,message) +# Create workout data from Strava or Concept2 +# data and create the associated Workout object and save it +def add_workout_from_data(user,importid,data,strokedata, + source='strava',splitdata=None, + workoutsource='strava'): + try: + workouttype = data['type'] + except KeyError: + workouttype = 'rower' + + if workouttype not in [x[0] for x in Workout.workouttypes]: + workouttype = 'other' + try: + comments = data['comments'] + except: + comments = ' ' + + try: + thetimezone = tz(data['timezone']) + except: + thetimezone = 'UTC' + + r = Rower.objects.get(user=user) + try: + rowdatetime = iso8601.parse_date(data['date_utc']) + except KeyError: + rowdatetime = iso8601.parse_date(data['start_date']) + except ParseError: + rowdatetime = iso8601.parse_date(data['date']) + + + try: + intervaltype = data['workout_type'] + + except KeyError: + intervaltype = '' + + try: + title = data['name'] + except KeyError: + title = "" + try: + t = data['comments'].split('\n', 1)[0] + title += t[:20] + except: + title = 'Imported' + + starttimeunix = arrow.get(rowdatetime).timestamp + + res = make_cumvalues(0.1*strokedata['t']) + cum_time = res[0] + lapidx = res[1] + + unixtime = cum_time+starttimeunix + seconds = 0.1*strokedata.ix[:,'t'] + + nr_rows = len(unixtime) + + try: + latcoord = strokedata.ix[:,'lat'] + loncoord = strokedata.ix[:,'lon'] + except: + latcoord = np.zeros(nr_rows) + loncoord = np.zeros(nr_rows) + + + try: + strokelength = strokedata.ix[:,'strokelength'] + except: + strokelength = np.zeros(nr_rows) + + dist2 = 0.1*strokedata.ix[:,'d'] + + try: + spm = strokedata.ix[:,'spm'] + except KeyError: + spm = 0*dist2 + + try: + hr = strokedata.ix[:,'hr'] + except KeyError: + hr = 0*spm + pace = strokedata.ix[:,'p']/10. + pace = np.clip(pace,0,1e4) + pace = pace.replace(0,300) + + velo = 500./pace + + power = 2.8*velo**3 + + # save csv + # Create data frame with all necessary data to write to csv + df = pd.DataFrame({'TimeStamp (sec)':unixtime, + ' Horizontal (meters)': dist2, + ' Cadence (stokes/min)':spm, + ' HRCur (bpm)':hr, + ' longitude':loncoord, + ' latitude':latcoord, + ' Stroke500mPace (sec/500m)':pace, + ' Power (watts)':power, + ' DragFactor':np.zeros(nr_rows), + ' DriveLength (meters)':np.zeros(nr_rows), + ' StrokeDistance (meters)':strokelength, + ' DriveTime (ms)':np.zeros(nr_rows), + ' StrokeRecoveryTime (ms)':np.zeros(nr_rows), + ' AverageDriveForce (lbs)':np.zeros(nr_rows), + ' PeakDriveForce (lbs)':np.zeros(nr_rows), + ' lapIdx':lapidx, + ' ElapsedTime (sec)':seconds + }) + + + df.sort_values(by='TimeStamp (sec)',ascending=True) + + + timestr = strftime("%Y%m%d-%H%M%S") + + + # Create CSV file name and save data to CSV file + csvfilename ='media/{code}_{importid}.csv'.format( + importid=importid, + code = uuid4().hex[:16] + ) + + res = df.to_csv(csvfilename+'.gz',index_label='index', + compression='gzip') + + + id,message = dataprep.save_workout_database( + csvfilename,r, + workouttype=workouttype, + title=title,notes=comments, + workoutsource=workoutsource, + dosummary=True + ) + + + return id,message def workout_strava_upload(user,w): message = "Uploading to Strava" @@ -436,9 +528,10 @@ def workout_strava_upload(user,w): tcxfile,tcxmesg = createstravaworkoutdata(w) if tcxfile: with open(tcxfile,'rb') as f: - res,mes = handle_stravaexport(f,w.name, - r.stravatoken, - description=w.notes+'\n from '+w.workoutsource+' via rowsandall.com') + res,mes = handle_stravaexport( + f,w.name, + r.stravatoken, + description=w.notes+'\n from '+w.workoutsource+' via rowsandall.com') if res==0: message = mes w.uploadedtostrava = -1 diff --git a/rowers/templates/export.html b/rowers/templates/export.html index b01ee514..086e56e4 100644 --- a/rowers/templates/export.html +++ b/rowers/templates/export.html @@ -111,7 +111,7 @@ {% endif %} {% else %}
- + Runkeeper icon
{% endif %} diff --git a/rowers/testdata/c2jsonstrokedata.txt b/rowers/testdata/c2jsonstrokedata.txt new file mode 100644 index 00000000..aaef347d --- /dev/null +++ b/rowers/testdata/c2jsonstrokedata.txt @@ -0,0 +1 @@ +{"data": [{"hr": 110, "p": 3600, "spm": 53, "d": 6, "t": 12}, {"hr": 111, "p": 3600, "spm": 53, "d": 6, "t": 12}, {"hr": 111, "p": 3600, "spm": 64, "d": 6, "t": 22}, {"hr": 110, "p": 3600, "spm": 16, "d": 14, "t": 55}, {"hr": 110, "p": 3600, "spm": 16, "d": 14, "t": 82}, {"hr": 107, "p": 3600, "spm": 12, "d": 22, "t": 109}, {"hr": 107, "p": 3600, "spm": 12, "d": 22, "t": 133}, {"hr": 108, "p": 3600, "spm": 12, "d": 32, "t": 157}, {"hr": 108, "p": 3577, "spm": 12, "d": 32, "t": 157}, {"hr": 108, "p": 3411, "spm": 12, "d": 32, "t": 157}, {"hr": 108, "p": 2649, "spm": 12, "d": 32, "t": 157}, {"hr": 108, "p": 3099, "spm": 12, "d": 32, "t": 157}, {"hr": 108, "p": 3600, "spm": 12, "d": 32, "t": 157}, {"hr": 100, "p": 3600, "spm": 44, "d": 115, "t": 292}, {"hr": 99, "p": 3600, "spm": 27, "d": 129, "t": 305}, {"hr": 97, "p": 3600, "spm": 34, "d": 161, "t": 330}, {"hr": 96, "p": 3600, "spm": 25, "d": 177, "t": 344}, {"hr": 96, "p": 3494, "spm": 43, "d": 196, "t": 357}, {"hr": 98, "p": 2927, "spm": 26, "d": 235, "t": 377}, {"hr": 102, "p": 2718, "spm": 27, "d": 380, "t": 455}, {"hr": 102, "p": 2753, "spm": 9, "d": 398, "t": 472}, {"hr": 102, "p": 2864, "spm": 61, "d": 406, "t": 477}, {"hr": 101, "p": 2780, "spm": 15, "d": 484, "t": 515}, {"hr": 101, "p": 2365, "spm": 16, "d": 583, "t": 554}, {"hr": 103, "p": 1965, "spm": 16, "d": 681, "t": 592}, {"hr": 104, "p": 1771, "spm": 18, "d": 777, "t": 624}, {"hr": 106, "p": 1712, "spm": 16, "d": 885, "t": 660}, {"hr": 107, "p": 1675, "spm": 19, "d": 980, "t": 692}, {"hr": 107, "p": 1640, "spm": 19, "d": 1072, "t": 722}, {"hr": 109, "p": 1605, "spm": 18, "d": 1173, "t": 755}, {"hr": 112, "p": 1564, "spm": 19, "d": 1277, "t": 787}, {"hr": 115, "p": 1550, "spm": 18, "d": 1380, "t": 819}, {"hr": 117, "p": 1576, "spm": 18, "d": 1487, "t": 852}, {"hr": 118, "p": 1616, "spm": 17, "d": 1590, "t": 889}, {"hr": 120, "p": 1644, "spm": 18, "d": 1692, "t": 922}, {"hr": 124, "p": 1645, "spm": 18, "d": 1785, "t": 952}, {"hr": 126, "p": 1576, "spm": 18, "d": 1887, "t": 985}, {"hr": 125, "p": 1745, "spm": 18, "d": 1994, "t": 1020}, {"hr": 125, "p": 1904, "spm": 17, "d": 2087, "t": 1052}, {"hr": 125, "p": 1946, "spm": 17, "d": 2087, "t": 1070}, {"hr": 125, "p": 2170, "spm": 17, "d": 2188, "t": 1089}, {"hr": 127, "p": 2202, "spm": 17, "d": 2278, "t": 1122}, {"hr": 127, "p": 2057, "spm": 17, "d": 2278, "t": 1145}, {"hr": 132, "p": 2187, "spm": 13, "d": 2396, "t": 1167}, {"hr": 135, "p": 2082, "spm": 17, "d": 2480, "t": 1202}, {"hr": 137, "p": 1829, "spm": 17, "d": 2572, "t": 1237}, {"hr": 141, "p": 2039, "spm": 18, "d": 2665, "t": 1272}, {"hr": 142, "p": 2118, "spm": 16, "d": 2757, "t": 1305}, {"hr": 142, "p": 2187, "spm": 16, "d": 2757, "t": 1327}, {"hr": 142, "p": 2189, "spm": 14, "d": 2860, "t": 1349}, {"hr": 143, 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4300, "t": 1962}, {"hr": 145, "p": 2372, "spm": 17, "d": 4300, "t": 1982}, {"hr": 145, "p": 2318, "spm": 15, "d": 4391, "t": 2002}, {"hr": 145, "p": 2159, "spm": 18, "d": 4473, "t": 2037}, {"hr": 145, "p": 1956, "spm": 18, "d": 4556, "t": 2069}, {"hr": 144, "p": 1949, "spm": 18, "d": 4646, "t": 2102}, {"hr": 144, "p": 1886, "spm": 18, "d": 4730, "t": 2135}, {"hr": 145, "p": 1832, "spm": 18, "d": 4822, "t": 2169}, {"hr": 146, "p": 1810, "spm": 18, "d": 4912, "t": 2200}, {"hr": 147, "p": 1828, "spm": 17, "d": 5011, "t": 2237}, {"hr": 148, "p": 1875, "spm": 16, "d": 5099, "t": 2272}, {"hr": 148, "p": 1920, "spm": 17, "d": 5184, "t": 2305}, {"hr": 147, "p": 1916, "spm": 17, "d": 5273, "t": 2339}, {"hr": 147, "p": 1864, "spm": 19, "d": 5364, "t": 2370}, {"hr": 148, "p": 1808, "spm": 16, "d": 5462, "t": 2407}, {"hr": 148, "p": 1787, "spm": 18, "d": 5558, "t": 2440}, {"hr": 148, "p": 1807, "spm": 17, "d": 5653, "t": 2475}, {"hr": 149, "p": 1874, "spm": 18, "d": 5740, "t": 2507}, {"hr": 149, 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b/rowers/testdata/c2jsonworkoutdata.txt @@ -0,0 +1 @@ +{"data": {"distance": 13878, "user_id": 457764, "ranked": false, "weight_class": "L", "verified": false, "workout_type": false, "comments": "\n from speedcoach2v2.15 via rowsandall.com", "heart_rate": {"max": 158, "average": 156}, "source": "rowingdata", "date_utc": "2018-06-30 05:31:01", "time_formatted": "1:21:16.7", "time": 48767, "date": "2018-06-30 07:31:01", "timezone": "Europe/Prague", "type": "water", "id": 33991243, "stroke_data": true}} \ No newline at end of file diff --git a/rowers/testdata/c2strokedata.csv b/rowers/testdata/c2strokedata.csv new file mode 100644 index 00000000..02e6ce5d --- /dev/null +++ b/rowers/testdata/c2strokedata.csv @@ -0,0 +1,1720 @@ +,d,hr,p,spm,t +0,6,110,3600,53,12 +1,6,111,3600,53,12 +2,6,111,3600,64,22 +3,14,110,3600,16,55 +4,14,110,3600,16,82 +5,22,107,3600,12,109 +6,22,107,3600,12,133 +7,32,108,3600,12,157 +8,32,108,3577,12,157 +9,32,108,3411,12,157 +10,32,108,2649,12,157 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{"privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2136037651/", "id": "2136037651"}], "documentation": [{"href": "https://developer.underarmour.com/docs/v71_Workout"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2994311008/?field_set=time_series", "id": "2994311008"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "reference_key": null, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 372.0, "distance_total": 1328.000091264, "cadence_max": 11.0, "speed_max": 4.3000016, "speed_min": 1.6666679, "cadence_min": 9.0, "speed_avg": 3.6897879, "cadence_avg": 9.0, "elapsed_time_total": 372.0, "heartrate_avg": 148.0}} \ No newline at end of file diff --git a/rowers/testdata/uauser.txt b/rowers/testdata/uauser.txt new file mode 100644 index 00000000..d7c9eb56 --- /dev/null +++ b/rowers/testdata/uauser.txt @@ -0,0 +1 @@ +{"last_name": "Roosendaal", "weight": null, "communication": {"promotions": false, "newsletter": false, "system_messages": false}, "height": null, "hobbies": "", "id": 109227799, "date_joined": "2017-03-28T11:32:53+00:00", "first_name": "Sander", "display_name": "Sander Roosendaal", "introduction": "", "display_measurement_system": "metric", "last_login": "2017-03-28T11:32:53+00:00", "location": {"country": "US", "region": "VA", "address": "", "locality": "Ashburn"}, "_links": {"stats": [{"href": "/v7.1/user_stats/109227799/?aggregate_by_period=month", "id": "109227799", "name": "month"}, {"href": "/v7.1/user_stats/109227799/?aggregate_by_period=day", "id": "109227799", "name": "day"}, {"href": "/v7.1/user_stats/109227799/?aggregate_by_period=week", "id": "109227799", "name": "week"}, {"href": "/v7.1/user_stats/109227799/?aggregate_by_period=year", "id": "109227799", "name": "year"}, {"href": "/v7.1/user_stats/109227799/?aggregate_by_period=lifetime", "id": "109227799", "name": "lifetime"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1", "name": "status_post"}, {"href": "/v7.1/privacy_option/1/", "id": "1", "name": "workout"}, {"href": "/v7.1/privacy_option/0/", "id": "0", "name": "workout_music"}, {"href": "/v7.1/privacy_option/3/", "id": "3", "name": "activity_feed"}, {"href": "/v7.1/privacy_option/0/", "id": "0", "name": "bodymass"}, {"href": "/v7.1/privacy_option/1/", "id": "1", "name": "food_log"}, {"href": "/v7.1/privacy_option/3/", "id": "3", "name": "email_search"}, {"href": "/v7.1/privacy_option/1/", "id": "1", "name": "profile"}, {"href": "/v7.1/privacy_option/1/", "id": "1", "name": "route"}, {"href": "/v7.1/privacy_option/0/", "id": "0", "name": "sleep"}], "image": [{"href": "/v7.1/user_profile_photo/109227799/", "id": "109227799", "name": "user_profile_photo"}], "documentation": [{"href": "https://developer.underarmour.com/docs/v71_User"}], "deactivation": [{"href": "/v7.1/user_deactivation/"}], "user_achievements": [{"href": "/v7.1/user_achievement/?user=109227799"}], "friendships": [{"href": "/v7.1/friendship/?from_user=109227799"}], "workouts": [{"href": "/v7.1/workout/?user=109227799&order_by=-start_datetime"}], "self": [{"href": "/v7.1/user/109227799/", "id": "109227799"}]}, "email": "roosendaalsander@gmail.com", "goal_statement": null, "username": "Sander109227799", "sharing": {"twitter": false, "facebook": false}, "last_initial": "R.", "preferred_language": "en-US", "gender": "M", "time_zone": "Europe/Bratislava", "birthdate": "1972-04-19", "profile_statement": ""} \ No newline at end of file diff --git a/rowers/testdata/uaworkoutlist.txt b/rowers/testdata/uaworkoutlist.txt new file mode 100644 index 00000000..0edff012 --- /dev/null +++ b/rowers/testdata/uaworkoutlist.txt @@ -0,0 +1 @@ +{"_embedded": {"workouts": [{"start_datetime": "2018-07-02T17:24:05+00:00", "name": "2ks with focus (6)", "is_default_name": false, "created_datetime": "2018-07-04T09:17:58+00:00", "notes": " \n from strava via rowsandall.com", "updated_datetime": "2018-07-04T09:17:58+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2994311008/", "id": "2994311008"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2136037651/", "id": "2136037651"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 372.0, "distance_total": 1328.000091264, "cadence_max": 11.0, "speed_max": 4.3000016, "speed_min": 1.6666679, "cadence_min": 9.0, "speed_avg": 3.6897879, "cadence_avg": 9.0, "elapsed_time_total": 372.0, "heartrate_avg": 148.0}}, {"start_datetime": "2018-05-15T10:35:00+00:00", "name": "Turin", "is_default_name": false, "created_datetime": "2018-05-18T08:16:04+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T08:16:04+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"self": [{"href": "/v7.1/workout/2893713871/", "id": "2893713871"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 0.0, "elapsed_time_total": 0.0, "distance_total": 0.0}}, {"start_datetime": "2018-05-14T13:53:04+00:00", "name": "Hradiste", "is_default_name": false, "created_datetime": "2018-05-18T09:37:59+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T09:37:59+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893767499/", "id": "2893767499"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064193549/", "id": "2064193549"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 1500.0, "distance_total": 6090.99689088, "cadence_max": 45.0, "speed_max": 50.78598, "speed_min": 0.024136182, "cadence_min": 8.0, "speed_avg": 4.6101894, "cadence_avg": 28.0, "elapsed_time_total": 1500.0, "heartrate_avg": 177.0}}, {"start_datetime": "2018-05-13T09:22:49+00:00", "name": "Completed a workout (generic) 0.6 mi on 05/13/18", "is_default_name": true, "created_datetime": "2018-05-17T08:58:45+00:00", "notes": "", "updated_datetime": "2018-05-17T08:59:03+00:00", "reference_key": "2018-05-13T09:22:49.000Z", "start_locale_timezone": "Europe/Bratislava", "source": "Unknown File", "source_manufacturer": "unknown", "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2891557930/", "id": "2891557930"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2062649698/", "id": "2062649698"}], "activity_type": [{"href": "/v7.1/activity_type/21/", "id": "21"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 233.0, "cadence_min": 27.0, "distance_total": 972.999726336, "cadence_max": 41.0, "speed_max": 5.7333326, "speed_min": 0.30000004, "heartrate_min": 117.0, "power_min": 27.0, "speed_avg": 4.201863, "cadence_avg": 31.0, "power_avg": 282.436, "heartrate_max": 136.0, "power_max": 511.0, "elapsed_time_total": 233.0, "heartrate_avg": 125.0, "metabolic_energy_total": 4184.0}}, {"start_datetime": "2018-05-13T09:22:49+00:00", "name": "Piestany Race (1) (2)", "is_default_name": false, "created_datetime": "2018-05-18T11:42:30+00:00", "notes": "imported through email\r\n from speedcoach2v2.15 via rowsandall.com\n from unknown via rowsandall.com", "updated_datetime": "2018-05-18T11:42:31+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893934296/", "id": "2893934296"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064309187/", "id": "2064309187"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 233.0, "distance_total": 972.999726336, "cadence_max": 20.0, "speed_max": 5.100011, "speed_min": 1.069047, "cadence_min": 13.0, "speed_avg": 4.1767173, "cadence_avg": 15.0, "elapsed_time_total": 233.0, "heartrate_avg": 125.0}}, {"start_datetime": "2018-05-13T08:02:00+00:00", "name": "Mixed 4x", "is_default_name": false, "created_datetime": "2018-05-17T09:48:01+00:00", "notes": "from unknown via rowsandall.com\r\nFailed to download METAR data\r\nSummary for your location at 2018-05-13T18:06:11+00:00: Partly Cloudy. Temperature 70.76F/21.5C. Wind: 1.3 m/s. Wind Bearing: 117 degrees\n from unknown via rowsandall.com", "updated_datetime": "2018-05-17T09:48:01+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"self": [{"href": "/v7.1/workout/2891593603/", "id": "2891593603"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 0.0, "elapsed_time_total": 0.0, "distance_total": 0.0}}, {"start_datetime": "2018-05-13T07:57:02+00:00", "name": "Piestany (2)", "is_default_name": false, "created_datetime": "2018-05-18T11:44:24+00:00", "notes": "imported through email\n from speedcoach2v2.15 via rowsandall.com\n from speedcoach2v2.15 via rowsandall.com", "updated_datetime": "2018-05-18T11:44:24+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893937560/", "id": "2893937560"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064311308/", "id": "2064311308"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 2111.0, "distance_total": 4604.99301504, "cadence_max": 37.0, "speed_max": 5.3203125, "speed_min": 0.0709524, "cadence_min": 4.0, "speed_avg": 2.644988, "cadence_avg": 11.0, "elapsed_time_total": 2111.0, "heartrate_avg": 126.0}}, {"start_datetime": "2018-05-12T15:47:00+00:00", "name": "MM 4x", "is_default_name": false, "created_datetime": "2018-05-18T12:48:24+00:00", "notes": "from unknown via rowsandall.com\nFailed to download METAR data\nSummary for your location at 2018-05-12T16:08:53+00:00: Drizzle. Temperature 70.74F/21.5C. Wind: 1.37 m/s. Wind Bearing: 7 degrees\n from unknown via rowsandall.com", "updated_datetime": "2018-05-18T12:48:24+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2894050207/", "id": "2894050207"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064393991/", "id": "2064393991"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 2624.0, "distance_total": 5929.00032384, "cadence_max": 29.0, "speed_max": 6.097581, "speed_avg": 2.7866058, "cadence_avg": 10.0, "elapsed_time_total": 2624.0}}, {"start_datetime": "2018-05-12T11:32:33+00:00", "name": "DC", "is_default_name": false, "created_datetime": "2018-05-18T09:55:44+00:00", "notes": "\n from tcx via rowsandall.com", "updated_datetime": "2018-05-18T09:55:44+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893782598/", "id": "2893782598"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064203758/", "id": "2064203758"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 6173.0, "distance_total": 16813.9433088, "speed_max": 4.1599975, "speed_avg": 2.7349057, "elapsed_time_total": 6173.0, "heartrate_avg": 137.0}}, {"start_datetime": "2018-05-12T11:32:33+00:00", "name": "DC", "is_default_name": false, "created_datetime": "2018-05-18T08:42:27+00:00", "notes": "\n from tcx via rowsandall.com", "updated_datetime": "2018-05-18T08:42:27+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"self": [{"href": "/v7.1/workout/2893729495/", "id": "2893729495"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 0.0, "elapsed_time_total": 0.0, "distance_total": 0.0}}, {"start_datetime": "2018-05-11T07:02:52+00:00", "name": "Naarden 1", "is_default_name": false, "created_datetime": "2018-05-18T08:59:22+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T08:59:22+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"self": [{"href": "/v7.1/workout/2893741039/", "id": "2893741039"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": false, "is_verified": true, "aggregates": {"active_time_total": 0.0, "elapsed_time_total": 0.0, "distance_total": 0.0}}, {"start_datetime": "2018-05-10T16:55:01+00:00", "name": "Racice 2", "is_default_name": false, "created_datetime": "2018-05-18T09:01:02+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T09:01:02+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"self": [{"href": "/v7.1/workout/2893742116/", "id": "2893742116"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": false, "is_verified": true, "aggregates": {"heartrate_avg": 173.0, "distance_total": 8000.00074368}}, {"start_datetime": "2018-05-10T09:11:24+00:00", "name": "Naarden goed", "is_default_name": false, "created_datetime": "2018-05-18T09:12:28+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T09:12:29+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893750054/", "id": "2893750054"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064181300/", "id": "2064181300"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"heartrate_avg": 136.0, "distance_total": 15263.00240256}}, {"start_datetime": "2018-05-05T08:11:04+00:00", "name": "Steady (2)", "is_default_name": false, "created_datetime": "2018-05-18T09:24:01+00:00", "notes": "\n from sporttracks via rowsandall.com", "updated_datetime": "2018-05-18T09:24:02+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893757776/", "id": "2893757776"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064186616/", "id": "2064186616"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"heartrate_avg": 133.0, "cadence_min": 11.0, "distance_total": 1152.00062208, "cadence_max": 35.0, "cadence_avg": 17.0}}, {"start_datetime": "2018-05-04T06:07:04+00:00", "name": "Zip test", "is_default_name": false, "created_datetime": "2018-05-18T09:25:30+00:00", "notes": "imported through email\n from speedcoach2v2.15 via rowsandall.com", "updated_datetime": "2018-05-18T09:25:31+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893758691/", "id": "2893758691"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064187276/", "id": "2064187276"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"heartrate_avg": 173.0, "cadence_min": 14.0, "distance_total": 5996.99510784, "cadence_max": 39.0, "cadence_avg": 26.0}}, {"start_datetime": "2018-05-04T06:07:04+00:00", "name": "Zip test 2", "is_default_name": false, "created_datetime": "2018-05-18T09:26:17+00:00", "notes": "imported through email\n from speedcoach2v2.15 via rowsandall.com", "updated_datetime": "2018-05-18T09:26:17+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893759225/", "id": "2893759225"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064187669/", "id": "2064187669"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"heartrate_avg": 173.0, "cadence_min": 14.0, "distance_total": 5996.99510784, "cadence_max": 39.0, "cadence_avg": 26.0}}, {"start_datetime": "2018-04-25T22:59:01+00:00", "name": "SpeedCoach 7x150m", "is_default_name": false, "created_datetime": "2018-05-18T09:28:00+00:00", "notes": "\n from speedcoach2corrected via rowsandall.com", "updated_datetime": "2018-05-18T09:28:00+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893760308/", "id": "2893760308"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064188509/", "id": "2064188509"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"heartrate_avg": 142.0, "cadence_min": 15.0, "distance_total": 4158.99551232, "cadence_max": 29.0, "cadence_avg": 24.0}}, {"start_datetime": "2018-04-24T13:35:30+00:00", "name": "Rowed 5.0 mi on 04/24/18", "is_default_name": false, "created_datetime": "2018-05-18T09:30:49+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T09:30:50+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"self": [{"href": "/v7.1/workout/2893762366/", "id": "2893762366"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 2880.0, "distance_total": 9420.00542208, "cadence_max": 44.0, "speed_max": 4.5985217, "speed_min": 1.3475842, "speed_avg": 3.401818, "cadence_avg": 16.0, "elapsed_time_total": 2880.0, "heartrate_avg": 145.0}}, {"start_datetime": "2018-04-23T20:42:00+00:00", "name": "Racice", "is_default_name": false, "created_datetime": "2018-05-18T09:27:18+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T09:27:18+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893759843/", "id": "2893759843"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064188131/", "id": "2064188131"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"heartrate_avg": 173.0, "cadence_min": 8.0, "distance_total": 8000.00074368, "cadence_max": 30.0, "cadence_avg": 25.0}}, {"start_datetime": "2018-04-07T07:41:02+00:00", "name": "2x3km fail", "is_default_name": false, "created_datetime": "2018-05-18T09:34:01+00:00", "notes": "\n from csv via rowsandall.com", "updated_datetime": "2018-05-18T09:34:01+00:00", "reference_key": null, "start_locale_timezone": "Europe/Bratislava", "source": "", "source_manufacturer": null, "_links": {"user": [{"href": "/v7.1/user/109227799/", "id": "109227799"}], "self": [{"href": "/v7.1/workout/2893764754/", "id": "2893764754"}], "privacy": [{"href": "/v7.1/privacy_option/1/", "id": "1"}], "route": [{"href": "/v7.1/route/2064191680/", "id": "2064191680"}], "activity_type": [{"href": "/v7.1/activity_type/128/", "id": "128"}]}, "has_time_series": true, "is_verified": true, "aggregates": {"active_time_total": 3968.0, "distance_total": 10567.9987776, "cadence_max": 63.0, "speed_max": 4.0374823, "speed_min": 0.22480257, "cadence_min": 8.0, "speed_avg": 3.053185, "cadence_avg": 20.0, "elapsed_time_total": 3968.0, "heartrate_avg": 155.0}}]}, "_links": {"self": [{"href": "/v7.1/workout/?limit=20&order_by=-start_datetime&user=109227799&offset=0"}], "documentation": [{"href": "https://developer.underarmour.com/docs/v71_Workout"}], "next": [{"href": "/v7.1/workout/?limit=20&order_by=-start_datetime&user=109227799&offset=20"}]}, "total_count": 45} \ No newline at end of file diff --git a/rowers/tests.py b/rowers/tests.py index bbdcc5ef..a1f35397 100644 --- a/rowers/tests.py +++ b/rowers/tests.py @@ -1,6 +1,7 @@ -from __future__ import print_function +#from __future__ import print_function from bs4 import BeautifulSoup import re + from django.test import TestCase, Client,override_settings from django.core.management import call_command from django.utils.six import StringIO @@ -22,9 +23,11 @@ from rowers.tasks import handle_makeplot from rowers.utils import serialize_list,deserialize_list from rowers.utils import NoTokenError from shutil import copyfile - +from nose.tools import assert_true +from mock import Mock, patch from minimocktest import MockTestCase import pandas as pd +import rowers.c2stuff as c2stuff import json import numpy as np @@ -49,9 +52,407 @@ class DjangoTestCase(TestCase, MockTestCase): MockTestCase.tearDown(self) delete_strokedata(1) -# Create your tests here. +def mocked_requests(*args, **kwargs): + with open('rowers/testdata/c2jsonworkoutdata.txt','r') as infile: + c2workoutdata = json.load(infile) + + with open('rowers/testdata/c2jsonstrokedata.txt','r') as infile: + c2strokedata = json.load(infile) + + c2workoutlist = json.load(open('rowers/testdata/c2workoutlist.txt')) + + c2uploadjson = { + "data": { + "id": 339, + "user_id": 1, + "date": "2015-08-05 13:15:41", + "timezone": "Europe/London", + "date_utc": "2015-08-05 12:15:41", + "distance": 5649, + "type": "rower", + "time": 8649, + "time_formatted": "14:24.9", + "workout_type": "JustRow", + "source": "ErgData", + "weight_class": "H", + "verified": True, + "ranked": False + } + } + + stravaworkoutlist = json.load(open('rowers/testdata/stravaworkoutlist.txt')) + sporttracksworkoutlist = json.load(open('rowers/testdata/sporttracksworkouts.txt')) + + rkworkoutlistjson = json.load(open('rowers/testdata/rkworkoutslist.txt','r')) + uaworkoutlistjson = json.load(open('rowers/testdata/uaworkoutlist.txt','r')) + + stravasummaryjson = json.load(open('rowers/testdata/stravaworkoutsummary.txt','r')) + + stravatimejson = json.load(open('rowers/testdata/stravatimetestdata.txt','r')) + stravavelojson = json.load(open('rowers/testdata/stravavelotestdata.txt','r')) + stravadistancejson = json.load(open('rowers/testdata/stravadistancetestdata.txt','r')) + stravalatlongjson = json.load(open('rowers/testdata/stravalatlongtestdata.txt','r')) + stravahrjson = json.load(open('rowers/testdata/stravahrtestdata.txt','r')) + stravaspmjson = json.load(open('rowers/testdata/stravaspmtestdata.txt','r')) + + uapostworkoutjson = json.load(open('rowers/testdata/uapostworkoutresponse.txt','r')) + + tpuploadresponse = json.load(open('rowers/testdata/tpuploadresponse.txt','r')) + + stravastreamjson = { + 'time':stravatimejson, + 'velocity_smooth':stravavelojson, + 'distance':stravadistancejson, + 'latlng':stravalatlongjson, + 'heartrate':stravahrjson, + 'cadence':stravaspmjson, + } + + ststrokesjson = json.load(open('rowers/testdata/sporttracksstrokedata.txt','r')) + + rkstrokesjson = json.load(open('rowers/testdata/rkstrokes.txt','r')) + + uastrokesjson = json.load(open('rowers/testdata/uastrokes.txt','r')) + uauserjson = json.load(open('rowers/testdata/uauser.txt','r')) + + class MockResponse: + def __init__(self, json_data, status_code): + self.json_data = json_data + self.status_code = status_code + + def json(self): + return self.json_data + + + class MockHeaderResponse: + def __init__(self, header_data, status_code): + self.headers = header_data + self.status_code = status_code + + class MockSession: + def send(self,prepped): + # prepped.url + # prepped.body (post data) + # prepped.headers + # prepped.method + + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + + return MockResponse(json_data,200) + + if not args: + return MockSession() + + c2tester = re.compile('.*?log\.concept2\.com') + stravatester = re.compile('.*?strava\.com') + sttester = re.compile('.*?sporttracks\.mobi') + rktester = re.compile('.*?runkeeper\.com') + uatester = re.compile('.*?mapmyfitness\.com') + tptester = re.compile('.*?trainingpeaks\.com') + + c2importregex = '.*?concept2.com\/api\/users\/me\/results\/\d+' + c2importtester = re.compile(c2importregex) + + c2uploadregex = '.*?concept2.com\/api\/users\/\d+\/results$' + c2uploadtester = re.compile(c2uploadregex) + + c2strokesregex = '.*?concept2.com\/api\/users\/me\/results\/\d+\/strokes' + c2strokestester = re.compile(c2strokesregex) + + c2workoutlistregex = '.*?concept2\.com\/api\/users\/me\/results\?page=\d' + c2workoutlisttester = re.compile(c2workoutlistregex) + + stravaworkoutlistregex = '.*?strava\.com\/api\/v3\/athlete\/activities' + stravaworkoutlisttester = re.compile(stravaworkoutlistregex) + + stravastreamregex = '.*?strava\.com\/api\/v3\/activities\/\d+\/streams\/(\w.*?)\?' + stravastreamtester = re.compile(stravastreamregex) + + stravasummaryregex = '.*?strava\.com\/api\/v3\/activities\/\d+$' + stravasummarytester = re.compile(stravasummaryregex) + + stuploadregex = '.*?sporttracks\.mobi\/api\/v2\/fitnessActivities.json$' + stuploadtester = re.compile(stuploadregex) + + stworkoutlistregex = '.*?sporttracks\.mobi\/api\/v2\/fitnessActivities$' + stworkoutlisttester = re.compile(stworkoutlistregex) + + ststrokesregex = '.*?sporttracks\.mobi\/api\/v2\/fitnessActivities/\d+$' + ststrokestester = re.compile(ststrokesregex) + + rkuploadregex = '.*?api\.runkeeper\.com\/fitnessActivities$' + rkuploadtester = re.compile(rkuploadregex) + rkuserregex = '.*?api\.runkeeper\.com\/user$' + rkusertester = re.compile(rkuserregex) + rkstrokesregex = '.*?api\.runkeeper\.com\/fitnessActivities/\d+$' + rkstrokestester = re.compile(rkstrokesregex) + + uaapiregex = '.*?api\.ua\.com' + uaapitester = re.compile(uaapiregex) + + uauploadregex = '.*?api\.ua\.com\/v7.1\/workout\/$' + uauploadtester = re.compile(uauploadregex) + + uastrokesregex = '.*?api\.ua\.com\/v7.1\/workout\/\d+' + uastrokestester = re.compile(uastrokesregex) + + ualistregex = '.*?api\.ua\.com\/v7.1\/workout\/\?user' + ualisttester = re.compile(ualistregex) + + uauserregex = '.*?api\.ua\.com\/v7.1\/user\/self\/' + uausertester = re.compile(uauserregex) + + tpuploadregex = '.*?trainingpeaks\.com\/v1\/file' + tpuploadtester = re.compile(tpuploadregex) + + if tptester.match(args[0]): + if 'token' in args[0]: + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + return MockResponse(json_data,200) + elif tpuploadtester.match(args[0]): + return MockResponse(tpuploadresponse,200) + + if uaapitester.match(args[0]): + if 'access_token' in args[0]: + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + return MockResponse(json_data,200) + elif uauploadtester.match(args[0]): + if 'data' in kwargs: + return MockResponse(uapostworkoutjson,200) + elif uastrokestester.match(args[0]): + return MockResponse(uastrokesjson,200) + elif ualisttester.match(args[0]): + return MockResponse(uaworkoutlistjson,200) + elif uausertester.match(args[0]): + return MockResponse(uauserjson,200) + + + if uatester.match(args[0]): + if 'access_token' in args[0]: + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + return MockResponse(json_data,200) + + + if rktester.match(args[0]): + if 'token' in args[0]: + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + return MockResponse(json_data,200) + elif rkuploadtester.match(args[0]): + if 'data' in kwargs: + # post + header_data = { + 'Location': '/fitnessActivities/12' + } + return MockHeaderResponse(header_data,200) + else: + json_data = rkworkoutlistjson + return MockResponse(json_data,200) + elif rkusertester.match(args[0]): + json_data = { + "userID": 1234567890, + "profile": "/profile", + "settings": "/settings", + "fitness_activities": "/fitnessActivities", + "strength_training_activities": "/strengthTrainingActivities", + "background_activities": "/backgroundActivities", + "sleep": "/sleep", + "nutrition": "/nutrition", + "weight": "/weight", + "general_measurements": "/generalMeasurements", + "diabetes": "/diabetes", + "records": "/records", + "team": "/team" + } + return MockResponse(json_data, 200) + elif rkstrokestester.match(args[0]): + return MockResponse(rkstrokesjson,200) + + if sttester.match(args[0]): + if 'oauth2/token' in args[0]: + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + return MockResponse(json_data,200) + if ststrokestester.match(args[0]): + return MockResponse(ststrokesjson,200) + if stuploadtester.match(args[0]): + json_data = { + "uris": [ + "https://api.sporttracks.mobi/api/v2/fitnessActivity/123456" + ] + } + return MockResponse(json_data, 200) + if stworkoutlisttester.match(args[0]): + return MockResponse(sporttracksworkoutlist,200) + + + if stravatester.match(args[0]): + if stravaworkoutlisttester.match(args[0]): + return MockResponse(stravaworkoutlist,200) + if stravastreamtester.match(args[0]): + metric = stravastreamtester.match(args[0]).group(1) + json_data = stravastreamjson[metric] + return MockResponse(json_data,200) + elif stravasummarytester.match(args[0]): + return MockResponse(stravasummaryjson,200) + + if c2tester.match(args[0]): + if c2uploadtester.match(args[0]): + return MockResponse(c2uploadjson,201) + if c2strokestester.match(args[0]): + return MockResponse(c2strokedata,200) + elif c2importtester.match(args[0]): + return MockResponse(c2workoutdata,200) + elif c2workoutlisttester.match(args[0]): + return MockResponse(c2workoutlist,200) + elif 'access_token' in args[0]: + json_data = { + 'access_token': 'TA3n1vrNjuQJWw0TdCDHnjSmrjIPULhTlejMIWqq', + 'expires_in': 604800, + 'refresh_token': 'jHJhFzCfOOKB8oyiayubhLAlxaMkG3ruC1E8YxaR' + } + return MockResponse(json_data,200) + elif 'users/me' in args[0]: + json_data = { + 'data': { + 'username': 'john', + 'id': 1234, + } + } + return MockResponse(json_data,200) + elif 'results' in args[0]: + json_data = { + 'data': { + 'id': 1223, + } + } + else: + return MockResponse(c2workoutdata,200) + + return MockResponse(None,404) + class C2Objects(DjangoTestCase): + def setUp(self): + self.c = Client() + self.u = User.objects.create_user('john', + 'sander@ds.ds', + 'koeinsloot') + + self.u.first_name = 'John' + self.u.last_name = 'Sander' + self.u.save() + self.r = Rower.objects.create(user=self.u,gdproptin=True, + gdproptindate=timezone.now() + ) + + self.r.c2token = '12' + self.r.c2refreshtoken = 'ab' + self.r.tokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1) + self.r.save() + self.c.login(username='john',password='koeinsloot') + + self.nu = datetime.datetime.now() + + filename = 'rowers/testdata/testdata.csv' + + rr = rrower(hrmax=self.r.max,hrut2=self.r.ut2, + hrut1=self.r.ut1,hrat=self.r.at, + hrtr=self.r.tr,hran=self.r.an,ftp=self.r.ftp) + row = rdata(filename,rower=rr) + totaldist = row.df['cum_dist'].max() + totaltime = row.df['TimeStamp (sec)'].max()-row.df['TimeStamp (sec)'].min() + totaltime = totaltime+row.df.ix[0,' ElapsedTime (sec)'] + + + hours = int(totaltime/3600.) + minutes = int((totaltime - 3600.*hours)/60.) + seconds = int(totaltime - 3600.*hours - 60.*minutes) + tenths = int(10*(totaltime - 3600.*hours - 60.*minutes - seconds)) + + duration = "%s:%s:%s.%s" % (hours,minutes,seconds,tenths) + + + workoutdate = row.rowdatetime.strftime('%Y-%m-%d') + workoutstarttime = row.rowdatetime.strftime('%H:%M:%S') + + self.w = Workout.objects.create( + name='testworkout',workouttype='On-water', + user=self.r,date=self.nu.strftime('%Y-%m-%d'), + starttime=workoutstarttime, + startdatetime=row.rowdatetime, + duration=duration,distance=totaldist, + csvfilename=filename + ) + + + @patch('rowers.c2stuff.requests.Session', side_effect=mocked_requests) + def test_c2_callback(self, mock_post): + response = self.c.get('/call_back?code=dsdoij232s',follow=True) + + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.c2stuff.Session', side_effect=mocked_requests) + def test_c2_token_refresh(self, mock_post): + response = self.c.get('/rowers/me/c2refresh/',follow=True) + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.c2stuff.requests.post', side_effect=mocked_requests) + @patch('rowers.c2stuff.requests.get', side_effect=mocked_requests) + def test_c2_upload(self, mock_get, mock_post): + response = self.c.get('/rowers/workout/1/c2uploadw/') + + self.assertRedirects(response, + expected_url = '/rowers/workout/1/export', + status_code=302,target_status_code=200) + + self.assertEqual(response.url, '/rowers/workout/1/export') + self.assertEqual(response.status_code, 302) + + @patch('rowers.c2stuff.requests.post', side_effect=mocked_requests) + def test_c2_list(self, mock_get): + response = self.c.get('/rowers/workout/c2list',follow=True) + + self.assertEqual(response.status_code,200) + + @patch('rowers.c2stuff.requests.get', side_effect=mocked_requests) + def test_c2_import(self, mock_get): + + response = self.c.get('/rowers/workout/c2import/12/',follow=True) + + self.assertRedirects(response, + expected_url='/rowers/workout/2/edit', + status_code=302,target_status_code=200) + + self.assertEqual(response.status_code, 200) + + def test_strokedata(self): with open('rowers/testdata/c2stroketestdata.txt','r') as infile: res = json.load(infile) @@ -65,17 +466,7 @@ class C2Objects(DjangoTestCase): from rowers.views import add_workout_from_strokedata - u = User.objects.create_user('john', - 'sander@ds.ds', - 'koeinsloot') - u.first_name = 'John' - u.last_name = 'Sander' - u.save() - r = Rower.objects.create(user=u,gdproptin=True, - gdproptindate=timezone.now() - ) - - res = add_workout_from_strokedata(u,1,data,strokedata,source='c2') + res = add_workout_from_strokedata(self.u,1,data,strokedata,source='c2') def test_strokedatanohr(self): with open('rowers/testdata/c2strokedatanohr.txt','r') as infile: @@ -90,213 +481,439 @@ class C2Objects(DjangoTestCase): from rowers.views import add_workout_from_strokedata - u = User.objects.create_user('john', - 'sander@ds.ds', - 'koeinsloot') - u.first_name = 'John' - u.last_name = 'Sander' - u.save() - r = Rower.objects.create(user=u,gdproptin=True, - gdproptindate=timezone.now() - ) - - res = add_workout_from_strokedata(u,1,data,strokedata,source='c2') + res = add_workout_from_strokedata(self.u,1,data,strokedata,source='c2') class StravaObjects(DjangoTestCase): - def test_strokedata(self): - timejson = json.load(open('rowers/testdata/stravatimetestdata.txt','r')) - velojson = json.load(open('rowers/testdata/stravavelotestdata.txt','r')) - distancejson = json.load(open('rowers/testdata/stravadistancetestdata.txt','r')) - latlongjson = json.load(open('rowers/testdata/stravalatlongtestdata.txt','r')) - hrjson = json.load(open('rowers/testdata/stravahrtestdata.txt','r')) - spmjson = json.load(open('rowers/testdata/stravaspmtestdata.txt','r')) - workoutsummary = json.load(open('rowers/testdata/stravasummarytestdata.txt','r')) - workoutsummary['timezone'] = "Etc/UTC" - startdatetime = workoutsummary['start_date'] - - - t = np.array(timejson[0]['data']) - d = np.array(distancejson[0]['data']) - nr_rows = len(t) - - try: - spm = np.array( spmjson[1]['data']) - except IndexError: - spm = np.zeros(nr_rows) - - try: - hr = np.array(hrjson[1]['data']) - except IndexError: - hr = np.zeros(nr_rows) - - try: - velo = np.array(velojson[1]['data']) - except IndexError: - velo = np.zeros(nr_rows) - - dt = np.diff(t).mean() - wsize = round(5./dt) - - from stravastuff import ewmovingaverage - velo2 = ewmovingaverage(velo,wsize) - coords = np.array(latlongjson[0]['data']) - try: - lat = coords[:,0] - lon = coords[:,1] - except IndexError: - lat = np.zeros(len(t)) - lon = np.zeros(len(t)) - - - - - strokelength = velo*60./(spm) - strokelength[np.isinf(strokelength)] = 0.0 - - pace = 500./(1.0*velo2) - pace[np.isinf(pace)] = 0.0 - - strokedata = pd.DataFrame({'t':10*t, - 'd':10*d, - 'p':10*pace, - 'spm':spm, - 'hr':hr, - 'lat':lat, - 'lon':lon, - 'strokelength':strokelength, - }) - - from rowers.views import add_workout_from_strokedata - - u = User.objects.create_user('john', + def setUp(self): + self.c = Client() + self.u = User.objects.create_user('john', 'sander@ds.ds', 'koeinsloot') - u.first_name = 'John' - u.last_name = 'Sander' - u.save() - r = Rower.objects.create(user=u,gdproptin=True, + + self.u.first_name = 'John' + self.u.last_name = 'Sander' + self.u.save() + self.r = Rower.objects.create(user=self.u,gdproptin=True, gdproptindate=timezone.now() ) + self.r.stravatoken = '12' - res = add_workout_from_strokedata(u,1,workoutsummary,strokedata, - source='strava') + self.r.save() + self.c.login(username='john',password='koeinsloot') - def test_strokedatanohr(self): - timejson = json.load(open('rowers/testdata/stravatimetestdata.txt','r')) - velojson = json.load(open('rowers/testdata/stravavelotestdata.txt','r')) - distancejson = json.load(open('rowers/testdata/stravadistancetestdata.txt','r')) - latlongjson = json.load(open('rowers/testdata/stravalatlongtestdata.txt','r')) - hrjson = json.load(open('rowers/testdata/stravahrtestnodata.txt','r')) - spmjson = json.load(open('rowers/testdata/stravaspmtestdata.txt','r')) - workoutsummary = json.load(open('rowers/testdata/stravasummarytestdata.txt','r')) - workoutsummary['timezone'] = "Etc/UTC" - startdatetime = workoutsummary['start_date'] + @patch('rowers.stravastuff.requests.post', side_effect=mocked_requests) + def test_strava_list(self, mock_get): + response = self.c.get('/rowers/workout/stravaimport/',follow=True) - - t = np.array(timejson[0]['data']) - d = np.array(distancejson[0]['data']) - nr_rows = len(t) + self.assertEqual(response.status_code,200) - try: - spm = np.array( spmjson[1]['data']) - except IndexError: - spm = np.zeros(nr_rows) + @patch('rowers.utils.requests.get', side_effect=mocked_requests) + def test_strava_import(self, mock_get): - try: - hr = np.array(hrjson[1]['data']) - except IndexError: - hr = np.zeros(nr_rows) + response = self.c.get('/rowers/workout/stravaimport/12',follow=True) - try: - velo = np.array(velojson[1]['data']) - except IndexError: - velo = np.zeros(nr_rows) + self.assertRedirects(response, + expected_url='/rowers/workout/1/edit', + status_code=301,target_status_code=200) - dt = np.diff(t).mean() - wsize = round(5./dt) - - from stravastuff import ewmovingaverage - velo2 = ewmovingaverage(velo,wsize) - coords = np.array(latlongjson[0]['data']) - try: - lat = coords[:,0] - lon = coords[:,1] - except IndexError: - lat = np.zeros(len(t)) - lon = np.zeros(len(t)) - - - - - strokelength = velo*60./(spm) - strokelength[np.isinf(strokelength)] = 0.0 - - pace = 500./(1.0*velo2) - pace[np.isinf(pace)] = 0.0 - - strokedata = pd.DataFrame({'t':10*t, - 'd':10*d, - 'p':10*pace, - 'spm':spm, - 'hr':hr, - 'lat':lat, - 'lon':lon, - 'strokelength':strokelength, - }) - - from rowers.views import add_workout_from_strokedata - - u = User.objects.create_user('john', - 'sander@ds.ds', - 'koeinsloot') - u.first_name = 'John' - u.last_name = 'Sander' - u.save() - r = Rower.objects.create(user=u,gdproptin=True, - gdproptindate=timezone.now() - ) - - res = add_workout_from_strokedata(u,1,workoutsummary,strokedata, - source='strava') + self.assertEqual(response.status_code, 200) class STObjects(DjangoTestCase): - def test_strokedata(self): - with open('rowers/testdata/sporttrackstestdata.txt','r') as infile: - data = json.load(infile) - - from rowers.views import add_workout_from_stdata - - u = User.objects.create_user('john', + def setUp(self): + self.c = Client() + self.u = User.objects.create_user('john', 'sander@ds.ds', 'koeinsloot') - r = Rower.objects.create(user=u,gdproptin=True, + + self.u.first_name = 'John' + self.u.last_name = 'Sander' + self.u.save() + self.r = Rower.objects.create(user=self.u,gdproptin=True, gdproptindate=timezone.now() ) - res = add_workout_from_stdata(u,1,data) + self.r.sporttrackstoken = '12' + self.r.sporttracksrefreshtoken = '12' + self.r.sporttrackstokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1) + self.r.save() + + self.c.login(username='john',password='koeinsloot') + + self.nu = datetime.datetime.now() + + filename = 'rowers/testdata/testdata.csv' + + rr = rrower(hrmax=self.r.max,hrut2=self.r.ut2, + hrut1=self.r.ut1,hrat=self.r.at, + hrtr=self.r.tr,hran=self.r.an,ftp=self.r.ftp) + row = rdata(filename,rower=rr) + totaldist = row.df['cum_dist'].max() + totaltime = row.df['TimeStamp (sec)'].max()-row.df['TimeStamp (sec)'].min() + totaltime = totaltime+row.df.ix[0,' ElapsedTime (sec)'] + + + hours = int(totaltime/3600.) + minutes = int((totaltime - 3600.*hours)/60.) + seconds = int(totaltime - 3600.*hours - 60.*minutes) + tenths = int(10*(totaltime - 3600.*hours - 60.*minutes - seconds)) + + duration = "%s:%s:%s.%s" % (hours,minutes,seconds,tenths) + + + workoutdate = row.rowdatetime.strftime('%Y-%m-%d') + workoutstarttime = row.rowdatetime.strftime('%H:%M:%S') + + self.w = Workout.objects.create( + name='testworkout',workouttype='On-water', + user=self.r,date=self.nu.strftime('%Y-%m-%d'), + starttime=workoutstarttime, + startdatetime=row.rowdatetime, + duration=duration,distance=totaldist, + csvfilename=filename + ) + + @patch('rowers.sporttracksstuff.requests.post', side_effect=mocked_requests) + def test_sporttracks_callback(self, mock_post): + response = self.c.get('/sporttracks_callback?code=dsdoij232s',follow=True) + + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.sporttracksstuff.requests.post', side_effect=mocked_requests) + def test_sporttracks_token_refresh(self, mock_post): + response = self.c.get('/rowers/me/sporttracksrefresh/',follow=True) + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.sporttracksstuff.requests.post', side_effect=mocked_requests) + @patch('rowers.sporttracksstuff.requests.get', side_effect=mocked_requests) + def test_sporttracks_upload(self, mock_get, mock_post): + response = self.c.get('/rowers/workout/1/sporttracksuploadw/') + + self.assertRedirects(response, + expected_url = '/rowers/workout/1/export', + status_code=302,target_status_code=200) + + self.assertEqual(response.url, '/rowers/workout/1/export') + self.assertEqual(response.status_code, 302) + + @patch('rowers.sporttracksstuff.requests.get', side_effect=mocked_requests) + def test_sporttracks_list(self, mock_get): + response = self.c.get('/rowers/workout/sporttracksimport',follow=True) + + self.assertEqual(response.status_code,200) + + @patch('rowers.imports.requests.get', side_effect=mocked_requests) + def test_sporttracks_import(self, mock_get): + + response = self.c.get('/rowers/workout/sporttracksimport/12/',follow=True) + + self.assertRedirects(response, + expected_url='/rowers/workout/2/edit', + status_code=302,target_status_code=200) + + self.assertEqual(response.status_code, 200) + + def test_strokedata(self): + with open('rowers/testdata/sporttrackstestdata.txt','r') as infile: + data = json.load(infile) + + from rowers.sporttracksstuff import add_workout_from_data + + res = add_workout_from_data(self.u,1,data,data) def test_strokedatanohr(self): with open('rowers/testdata/sporttrackstestnohr.txt','r') as infile: data = json.load(infile) - from rowers.views import add_workout_from_stdata + from rowers.sporttracksstuff import add_workout_from_data - u = User.objects.create_user('john', + + + res = add_workout_from_data(self.u,1,data,data) + +class RunKeeperObjects(DjangoTestCase): + def setUp(self): + self.c = Client() + self.u = User.objects.create_user('john', 'sander@ds.ds', 'koeinsloot') - r = Rower.objects.create(user=u,gdproptin=True, + self.u.first_name = 'John' + self.u.last_name = 'Sander' + self.u.save() + self.r = Rower.objects.create(user=self.u,gdproptin=True, gdproptindate=timezone.now() ) - res = add_workout_from_stdata(u,1,data) + self.r.runkeepertoken = '12' + + self.r.save() + + self.c.login(username='john',password='koeinsloot') + + self.nu = datetime.datetime.now() + + filename = 'rowers/testdata/testdata.csv' + + rr = rrower(hrmax=self.r.max,hrut2=self.r.ut2, + hrut1=self.r.ut1,hrat=self.r.at, + hrtr=self.r.tr,hran=self.r.an,ftp=self.r.ftp) + row = rdata(filename,rower=rr) + totaldist = row.df['cum_dist'].max() + totaltime = row.df['TimeStamp (sec)'].max()-row.df['TimeStamp (sec)'].min() + totaltime = totaltime+row.df.ix[0,' ElapsedTime (sec)'] + + + hours = int(totaltime/3600.) + minutes = int((totaltime - 3600.*hours)/60.) + seconds = int(totaltime - 3600.*hours - 60.*minutes) + tenths = int(10*(totaltime - 3600.*hours - 60.*minutes - seconds)) + + duration = "%s:%s:%s.%s" % (hours,minutes,seconds,tenths) + + + workoutdate = row.rowdatetime.strftime('%Y-%m-%d') + workoutstarttime = row.rowdatetime.strftime('%H:%M:%S') + + self.w = Workout.objects.create( + name='testworkout',workouttype='On-water', + user=self.r,date=self.nu.strftime('%Y-%m-%d'), + starttime=workoutstarttime, + startdatetime=row.rowdatetime, + duration=duration,distance=totaldist, + csvfilename=filename + ) + + @patch('rowers.runkeeperstuff.requests.post', side_effect=mocked_requests) + def test_runkeeper_callback(self, mock_post): + response = self.c.get('/runkeeper_callback?code=dsdoij232s',follow=True) + + self.assertEqual(response.status_code, 200) + + @patch('rowers.runkeeperstuff.requests.post', side_effect=mocked_requests) + @patch('rowers.runkeeperstuff.requests.get', side_effect=mocked_requests) + def test_runkeeper_upload(self, mock_get, mock_post): + response = self.c.get('/rowers/workout/1/runkeeperuploadw/') + + self.assertRedirects(response, + expected_url = '/rowers/workout/1/export', + status_code=302,target_status_code=200) + + self.assertEqual(response.url, '/rowers/workout/1/export') + self.assertEqual(response.status_code, 302) + + @patch('rowers.runkeeperstuff.requests.get', side_effect=mocked_requests) + def test_runkeeper_list(self, mock_get): + response = self.c.get('/rowers/workout/runkeeperimport',follow=True) + + self.assertEqual(response.status_code,200) + + @patch('rowers.imports.requests.get', side_effect=mocked_requests) + def test_runkeeper_import(self, mock_get): + + response = self.c.get('/rowers/workout/runkeeperimport/12/',follow=True) + + self.assertRedirects(response, + expected_url='/rowers/workout/2/edit', + status_code=302,target_status_code=200) + + self.assertEqual(response.status_code, 200) + + + +class UAObjects(DjangoTestCase): + def setUp(self): + self.c = Client() + self.u = User.objects.create_user('john', + 'sander@ds.ds', + 'koeinsloot') + + self.u.first_name = 'John' + self.u.last_name = 'Sander' + self.u.save() + self.r = Rower.objects.create(user=self.u,gdproptin=True, + gdproptindate=timezone.now() + ) + + + self.r.underarmourtoken = '12' + self.r.underarmourrefreshtoken = '12' + self.r.underarmourtokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1) + self.r.save() + + self.c.login(username='john',password='koeinsloot') + + self.nu = datetime.datetime.now() + + filename = 'rowers/testdata/testdata.csv' + + rr = rrower(hrmax=self.r.max,hrut2=self.r.ut2, + hrut1=self.r.ut1,hrat=self.r.at, + hrtr=self.r.tr,hran=self.r.an,ftp=self.r.ftp) + row = rdata(filename,rower=rr) + totaldist = row.df['cum_dist'].max() + totaltime = row.df['TimeStamp (sec)'].max()-row.df['TimeStamp (sec)'].min() + totaltime = totaltime+row.df.ix[0,' ElapsedTime (sec)'] + + + hours = int(totaltime/3600.) + minutes = int((totaltime - 3600.*hours)/60.) + seconds = int(totaltime - 3600.*hours - 60.*minutes) + tenths = int(10*(totaltime - 3600.*hours - 60.*minutes - seconds)) + + duration = "%s:%s:%s.%s" % (hours,minutes,seconds,tenths) + + + workoutdate = row.rowdatetime.strftime('%Y-%m-%d') + workoutstarttime = row.rowdatetime.strftime('%H:%M:%S') + + self.w = Workout.objects.create( + name='testworkout',workouttype='On-water', + user=self.r,date=self.nu.strftime('%Y-%m-%d'), + starttime=workoutstarttime, + startdatetime=row.rowdatetime, + duration=duration,distance=totaldist, + csvfilename=filename + ) + + @patch('rowers.imports.requests.post', side_effect=mocked_requests) + def test_underarmour_callback(self, mock_post): + response = self.c.get('/underarmour_callback?code=dsdoij232s',follow=True) + + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.underarmourstuff.requests.post', side_effect=mocked_requests) + def test_underarmour_token_refresh(self, mock_post): + response = self.c.get('/rowers/me/underarmourrefresh/',follow=True) + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.underarmourstuff.requests.post', side_effect=mocked_requests) + @patch('rowers.underarmourstuff.requests.get', side_effect=mocked_requests) + def test_underarmour_upload(self, mock_get, mock_post): + response = self.c.get('/rowers/workout/1/underarmouruploadw/') + + self.assertRedirects(response, + expected_url = '/rowers/workout/1/export', + status_code=302,target_status_code=200) + + self.assertEqual(response.url, '/rowers/workout/1/export') + self.assertEqual(response.status_code, 302) + + @patch('rowers.underarmourstuff.requests.get', side_effect=mocked_requests) + def test_underarmour_list(self, mock_get): + response = self.c.get('/rowers/workout/underarmourimport',follow=True) + + self.assertEqual(response.status_code,200) + + @patch('rowers.imports.requests.get', side_effect=mocked_requests) + def test_underarmour_import(self, mock_get): + + response = self.c.get('/rowers/workout/underarmourimport/12/',follow=True) + + self.assertRedirects(response, + expected_url='/rowers/workout/2/edit', + status_code=302,target_status_code=200) + + self.assertEqual(response.status_code, 200) + + +class TPObjects(DjangoTestCase): + def setUp(self): + self.c = Client() + self.u = User.objects.create_user('john', + 'sander@ds.ds', + 'koeinsloot') + + self.u.first_name = 'John' + self.u.last_name = 'Sander' + self.u.save() + self.r = Rower.objects.create(user=self.u,gdproptin=True, + gdproptindate=timezone.now() + ) + + + self.r.tptoken = '12' + self.r.tprefreshtoken = '12' + self.r.tptokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1) + self.r.save() + + self.c.login(username='john',password='koeinsloot') + + self.nu = datetime.datetime.now() + + filename = 'rowers/testdata/testdata.csv' + + rr = rrower(hrmax=self.r.max,hrut2=self.r.ut2, + hrut1=self.r.ut1,hrat=self.r.at, + hrtr=self.r.tr,hran=self.r.an,ftp=self.r.ftp) + row = rdata(filename,rower=rr) + totaldist = row.df['cum_dist'].max() + totaltime = row.df['TimeStamp (sec)'].max()-row.df['TimeStamp (sec)'].min() + totaltime = totaltime+row.df.ix[0,' ElapsedTime (sec)'] + + + hours = int(totaltime/3600.) + minutes = int((totaltime - 3600.*hours)/60.) + seconds = int(totaltime - 3600.*hours - 60.*minutes) + tenths = int(10*(totaltime - 3600.*hours - 60.*minutes - seconds)) + + duration = "%s:%s:%s.%s" % (hours,minutes,seconds,tenths) + + + workoutdate = row.rowdatetime.strftime('%Y-%m-%d') + workoutstarttime = row.rowdatetime.strftime('%H:%M:%S') + + self.w = Workout.objects.create( + name='testworkout',workouttype='On-water', + user=self.r,date=self.nu.strftime('%Y-%m-%d'), + starttime=workoutstarttime, + startdatetime=row.rowdatetime, + duration=duration,distance=totaldist, + csvfilename=filename + ) + + @patch('rowers.imports.requests.post', side_effect=mocked_requests) + def test_tp_callback(self, mock_post): + response = self.c.get('/tp_callback?code=dsdoij232s',follow=True) + + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.tpstuff.requests.post', side_effect=mocked_requests) + def test_tp_token_refresh(self, mock_post): + response = self.c.get('/rowers/me/tprefresh/',follow=True) + + self.assertEqual(response.status_code, 200) + + + @patch('rowers.tpstuff.requests.post', side_effect=mocked_requests) + @patch('rowers.tpstuff.requests.get', side_effect=mocked_requests) + def test_tp_upload(self, mock_get, mock_post): + response = self.c.get('/rowers/workout/1/tpuploadw/') + + self.assertRedirects(response, + expected_url = '/rowers/workout/1/export', + status_code=302,target_status_code=200) + + self.assertEqual(response.url, '/rowers/workout/1/export') + self.assertEqual(response.status_code, 302) + + class TestErrorPages(TestCase): diff --git a/rowers/tpstuff.py b/rowers/tpstuff.py index 9a783d9a..b57397cd 100644 --- a/rowers/tpstuff.py +++ b/rowers/tpstuff.py @@ -1,40 +1,12 @@ # All the functionality needed to connect to Runkeeper +from rowers.imports import * # Python -import oauth2 as oauth -import cgi -import requests -import requests.auth -import json -from django.utils import timezone -from datetime import datetime -from datetime import timedelta -import numpy as np -from dateutil import parser -import time -import pytz -import math import gzip -from math import sin,cos,atan2,sqrt -import os,sys -import urllib + import base64 from io import BytesIO -from time import strftime -# Django -from django.shortcuts import render_to_response -from django.http import HttpResponseRedirect, HttpResponse,JsonResponse -from django.conf import settings -from django.contrib.auth import authenticate, login, logout -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required -#from django.contrib import messages -# Project -# from .models import Profile -from rowingdata import rowingdata -import pandas as pd -from rowers.models import Rower,Workout,checkworkoutuser from rowsandall_app.settings import ( C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, @@ -50,116 +22,35 @@ from django_rq import job import time from async_messages import message_user,messages - - - -from utils import geo_distance, NoTokenError,ewmovingaverage, custom_exception_handler - +oauth_data = { + 'client_id': TP_CLIENT_ID, + 'client_secret': TP_CLIENT_SECRET, + 'redirect_uri': TP_REDIRECT_URI, + 'autorization_uri': "https://oauth.trainingpeaks.com/oauth/authorize?", + 'content_type': 'application/x-www-form-urlencoded', + 'tokenname': 'tptoken', + 'refreshtokenname': 'tprefreshtoken', + 'expirydatename': 'tptokenexpirydate', + 'bearer_auth': False, + 'base_url': "https://oauth.trainingpeaks.com/oauth/token", + } # Checks if user has UnderArmour token, renews them if they are expired def tp_open(user): - r = Rower.objects.get(user=user) - if (r.tptoken == '') or (r.tptoken is None): - s = "Token doesn't exist. Need to authorize" - raise NoTokenError("User has no token") - else: - if (timezone.now()>r.tptokenexpirydate): - res = do_refresh_token(r.tprefreshtoken) - if res[0] != 0: - r.tptoken = res[0] - r.tprefreshtoken = res[2] - expirydatetime = timezone.now()+timedelta(seconds=res[1]) - r.tptokenexpirydate = expirydatetime - r.save() - thetoken = r.tptoken - else: - raise NoTokenError("Refresh token invalid") - else: - thetoken = r.tptoken - - return thetoken + return imports_open(user, oauth_data) # Refresh ST token using refresh token def do_refresh_token(refreshtoken): - client_auth = requests.auth.HTTPBasicAuth(TP_CLIENT_KEY, TP_CLIENT_SECRET) - post_data = {"grant_type": "refresh_token", - "client_secret": TP_CLIENT_SECRET, - "client_id":TP_CLIENT_KEY, - "refresh_token": refreshtoken, - } - headers = {'user-agent': 'sanderroosendaal', - 'Accept': 'application/json', - 'Content-Type': 'application/x-www-form-urlencoded', - } - - - url = "https://oauth.trainingpeaks.com/oauth/token" - - response = requests.post(url, - data=post_data, - headers=headers) - - if response.status_code == 200 or response.status_code == 201: - token_json = response.json() - thetoken = token_json['access_token'] - expires_in = token_json['expires_in'] - try: - refresh_token = token_json['refresh_token'] - except KeyError: - refresh_token = refreshtoken - else: - return [0,0,0] - - - return [thetoken,expires_in,refresh_token] + return imports_do_refresh_token(refreshtoken, oauth_data) # Exchange access code for long-lived access token def get_token(code): - client_auth = requests.auth.HTTPBasicAuth(TP_CLIENT_KEY, TP_CLIENT_SECRET) - post_data = { - "client_id":TP_CLIENT_KEY, - "grant_type": "authorization_code", - "code": code, - "redirect_uri":TP_REDIRECT_URI, - "client_secret": TP_CLIENT_SECRET, - } - headers = { - 'Content-Type': 'application/x-www-form-urlencoded', - } - - response = requests.post("https://oauth.trainingpeaks.com/oauth/token", - data=post_data) - - - try: - token_json = response.json() - thetoken = token_json['access_token'] - expires_in = token_json['expires_in'] - refresh_token = token_json['refresh_token'] - except KeyError: - thetoken = 0 - expires_in = 0 - refresh_token = 0 - - return thetoken,expires_in,refresh_token + return imports_get_token(code, oauth_data) # Make authorization URL including random string def make_authorization_url(request): - # Generate a random string for the state parameter - # Save it for use later to prevent xsrf attacks - from uuid import uuid4 - state = str(uuid4()) - - params = {"client_id": TP_CLIENT_KEY, - "response_type": "code", - "redirect_uri": TP_REDIRECT_URI, - "scope": "file:write", - } - url = "https://oauth.trainingpeaks.com/oauth/authorize?" +urllib.urlencode(params) - - return HttpResponseRedirect(url) - + return imports_make_authorization_url(oauth_data) def getidfromresponse(response): @@ -229,7 +120,6 @@ def uploadactivity(access_token,filename,description='', data = json.dumps(data), headers=headers) - print resp.status_code if resp.status_code != 200: if settings.DEBUG: print resp.status_code @@ -237,24 +127,11 @@ def uploadactivity(access_token,filename,description='', print "" print headers print "" - with open("media/tperrors.log","a") as errorlog: - errorlog.write(str(resp.status_code)) - errorlog.write("\r\n") - timestr = strftime("%Y%m%d-%H%M%S") - errorlog.write(timestr+"\r\n") - errorlog.write("\r\n") - errorlog.write(str(resp.reason)) - errorlog.write("\r\n") - try: - errorlog.write(str(resp.json())) - except: - pass - errorlog.write("\r\n") return 0,resp.reason,resp.status_code,headers else: return resp.json()[0]["Id"],"ok",200,"" - return 0 + return 0,0,0,0 def workout_tp_upload(user,w): diff --git a/rowers/underarmourstuff.py b/rowers/underarmourstuff.py index cb5a479e..4ef6ba87 100644 --- a/rowers/underarmourstuff.py +++ b/rowers/underarmourstuff.py @@ -1,152 +1,41 @@ -# All the functionality needed to connect to Runkeeper - -# Python -import oauth2 as oauth -import cgi -import pytz -import requests -import requests.auth -import json -from django.utils import timezone -from datetime import datetime,timedelta -import arrow -import numpy as np -from dateutil import parser -import time -import math -from math import sin,cos,atan2,sqrt -import os,sys -import urllib - -# Django -from django.shortcuts import render_to_response -from django.http import HttpResponseRedirect, HttpResponse,JsonResponse -from django.conf import settings -from django.contrib.auth import authenticate, login, logout -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required - -# Project -# from .models import Profile -from rowingdata import rowingdata -import pandas as pd -from rowers.models import Rower,Workout,checkworkoutuser +from rowers.imports import * from rowsandall_app.settings import ( - C2_CLIENT_ID, C2_REDIRECT_URI, C2_CLIENT_SECRET, - STRAVA_CLIENT_ID, STRAVA_REDIRECT_URI, STRAVA_CLIENT_SECRET, - UNDERARMOUR_CLIENT_ID, UNDERARMOUR_CLIENT_SECRET, - UNDERARMOUR_REDIRECT_URI,UNDERARMOUR_CLIENT_KEY, + UNDERARMOUR_CLIENT_KEY, + UNDERARMOUR_CLIENT_SECRET, + UNDERARMOUR_REDIRECT_URI, ) -from utils import NoTokenError,ewmovingaverage - -from utils import geo_distance, custom_exception_handler - - +oauth_data = { + 'client_id': UNDERARMOUR_CLIENT_KEY, + 'client_secret': UNDERARMOUR_CLIENT_SECRET, + 'redirect_uri': UNDERARMOUR_REDIRECT_URI, + 'autorization_uri': "https://www.mapmyfitness.com/v7.1/oauth2/uacf/authorize/", + 'content_type': 'application/x-www-form-urlencoded', + 'tokenname': 'underarmourtoken', + 'refreshtokenname': 'underarmourrefreshtoken', + 'expirydatename': 'underarmourtokenexpirydate', + 'bearer_auth': True, + 'base_url': "https://api.ua.com/v7.1/oauth2/access_token/", + } # Checks if user has UnderArmour token, renews them if they are expired def underarmour_open(user): - r = Rower.objects.get(user=user) - if (r.underarmourtoken == '') or (r.underarmourtoken is None): - s = "Token doesn't exist. Need to authorize" - raise NoTokenError("User has no token") - else: - if (timezone.now()>r.underarmourtokenexpirydate): - res = do_refresh_token( - r.underarmourrefreshtoken,r.underarmourtoken - ) - access_token = res[0] - expires_in = res[1] - refresh_token = res[2] - - expirydatetime = timezone.now()+timedelta(seconds=expires_in) - - r = getrower(request.user) - r.underarmourtoken = access_token - r.underarmourtokenexpirydate = expirydatetime - r.underarmourrefreshtoken = refresh_token - - r.save() - thetoken = r.underarmourtoken - else: - thetoken = r.underarmourtoken - - return thetoken + return imports_open(user,oauth_data) # Refresh ST token using refresh token def do_refresh_token(refreshtoken,access_token): - client_auth = requests.auth.HTTPBasicAuth(UNDERARMOUR_CLIENT_KEY, UNDERARMOUR_CLIENT_SECRET) - post_data = {"grant_type": "refresh_token", - "client_secret": UNDERARMOUR_CLIENT_SECRET, - "client_id":UNDERARMOUR_CLIENT_KEY, - "refresh_token": refreshtoken, - } - headers = {'user-agent': 'sanderroosendaal', - "Api-Key":UNDERARMOUR_CLIENT_KEY, - 'Accept': 'application/json', - 'Content-Type': 'application/x-www-form-urlencoded', - 'authorization': 'Bearer %s' % access_token} - - url = "https://api.ua.com/v7.1/oauth2/access_token/" - - response = requests.post(url, - data=post_data, - headers=headers) - - token_json = response.json() - thetoken = token_json['access_token'] - expires_in = token_json['expires_in'] - try: - refresh_token = token_json['refresh_token'] - except KeyError: - refresh_token = refreshtoken - - return [thetoken,expires_in,refresh_token] + return imports_do_refresh_token( + refreshtoken,oauth_data,access_token=access_token + ) # Exchange access code for long-lived access token def get_token(code): - client_auth = requests.auth.HTTPBasicAuth(UNDERARMOUR_CLIENT_KEY, UNDERARMOUR_CLIENT_SECRET) - post_data = { - "grant_type": "authorization_code", - "code": code, - "client_secret": UNDERARMOUR_CLIENT_SECRET, - "client_id":UNDERARMOUR_CLIENT_KEY, - } - headers = { - 'user-agent': 'sanderroosendaal', - "Api-Key":UNDERARMOUR_CLIENT_KEY, - } - - response = requests.post("https://api.ua.com/v7.1/oauth2/access_token/", - data=post_data, - headers=headers) - try: - token_json = response.json() - thetoken = token_json['access_token'] - expires_in = token_json['expires_in'] - refresh_token = token_json['refresh_token'] - except KeyError: - thetoken = 0 - expires_in = 30 - refresh_token = '' - - return thetoken,expires_in,refresh_token + return imports_get_token(code,oauth_data) # Make authorization URL including random string def make_authorization_url(request): - # Generate a random string for the state parameter - # Save it for use later to prevent xsrf attacks - from uuid import uuid4 - state = str(uuid4()) - - params = {"client_id": UNDERARMOUR_CLIENT_KEY, - "response_type": "code", - "redirect_uri": UNDERARMOUR_REDIRECT_URI, - } - url = "https://www.mapmyfitness.com/v7.1/oauth2/uacf/authorize/" +urllib.urlencode(params) - - return HttpResponseRedirect(url) + return imports_make_authorization_url(oauth_data) # Get list of workouts available on Underarmour def get_underarmour_workout_list(user): @@ -163,14 +52,13 @@ def get_underarmour_workout_list(user): 'Content-Type': 'application/json'} url = "https://api.ua.com/v7.1/workout/?user="+str(get_userid(r.underarmourtoken))+"&order_by=-start_datetime" - s = requests.get(url,headers=headers) return s # Get workout summary data by Underarmour ID -def get_underarmour_workout(user,underarmourid): +def get_workout(user,underarmourid): r = Rower.objects.get(user=user) if (r.underarmourtoken == '') or (r.underarmourtoken is None): return custom_exception_handler(401,s) @@ -185,7 +73,14 @@ def get_underarmour_workout(user,underarmourid): url = "https://api.ua.com/v7.1/workout/"+str(underarmourid)+"/?field_set=time_series" s = requests.get(url,headers=headers) - return s + data = s.json() + + strokedata = pd.DataFrame.from_dict({ + key: pd.Series(value) for key, value in data.items() + }) + + return data,strokedata + # Create Workout Data for upload to Underarmour def createunderarmourworkoutdata(w): @@ -319,13 +214,12 @@ def get_idfromuri(user,links): id = links['self'][0]['id'] typeid = links['activity_type'][0]['id'] - typename = get_typefromid(typeid,user) return id,typename def getidfromresponse(response): - t = json.loads(response.text) + t = response.json() links = t["_links"] @@ -453,3 +347,170 @@ def workout_ua_upload(user,w): return message, uaid return message, uaid + +# Create workout from SportTracks Data, which are slightly different +# than Strava or Concept2 data +def add_workout_from_data(user,importid,data,strokedata, + source='mapmyfitness', + workoutsource='mapmyfitness'): + workouttype = 'water' + + try: + comments = data['notes'] + except: + comments = '' + + try: + thetimezone = tz(data['start_locale_timezone']) + except: + thetimezone = 'UTC' + + r = Rower.objects.get(user=user) + try: + rowdatetime = iso8601.parse_date(data['start_datetime']) + except iso8601.ParseError: + try: + rowdatetime = datetime.strptime(data['start_datetime'],"%Y-%m-%d %H:%M:%S") + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + except: + try: + rowdatetime = parser.parse(data['start_datetime']) + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + except: + rowdatetime = datetime.strptime(data['date'],"%Y-%m-%d %H:%M:%S") + rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) + starttimeunix = arrow.get(rowdatetime).timestamp + + + try: + title = data['name'] + except: + title = "Imported data" + + timeseries = data['time_series'] + + # position, distance, speed, cadence, power, + + res = splituadata(timeseries['distance']) + + distance = res[1] + + times_distance = res[0] + + + try: + l = timeseries['position'] + + res = splituadata(l) + times_location = res[0] + latlong = res[1] + latcoord = [] + loncoord = [] + + for coord in latlong: + lat = coord['lat'] + lon = coord['lng'] + latcoord.append(lat) + loncoord.append(lon) + except: + times_location = times_distance + latcoord = np.zeros(len(times_distance)) + loncoord = np.zeros(len(times_distance)) + if workouttype in types.otwtypes: + workouttype = 'rower' + + try: + res = splituadata(timeseries['cadence']) + times_spm = res[0] + spm = res[1] + except KeyError: + times_spm = times_distance + spm = 0*times_distance + + try: + res = splituadata(timeseries['heartrate']) + hr = res[1] + times_hr = res[0] + except KeyError: + times_hr = times_distance + hr = 0*times_distance + + + # create data series and remove duplicates + distseries = pd.Series(distance,index=times_distance) + distseries = distseries.groupby(distseries.index).first() + latseries = pd.Series(latcoord,index=times_location) + latseries = latseries.groupby(latseries.index).first() + lonseries = pd.Series(loncoord,index=times_location) + lonseries = lonseries.groupby(lonseries.index).first() + spmseries = pd.Series(spm,index=times_spm) + spmseries = spmseries.groupby(spmseries.index).first() + hrseries = pd.Series(hr,index=times_hr) + hrseries = hrseries.groupby(hrseries.index).first() + + + # Create dicts and big dataframe + d = { + ' Horizontal (meters)': distseries, + ' latitude': latseries, + ' longitude': lonseries, + ' Cadence (stokes/min)': spmseries, + ' HRCur (bpm)' : hrseries, + } + + + + df = pd.DataFrame(d) + + df = df.groupby(level=0).last() + + cum_time = df.index.values + df[' ElapsedTime (sec)'] = cum_time + + velo = df[' Horizontal (meters)'].diff()/df[' ElapsedTime (sec)'].diff() + + df[' Power (watts)'] = 0.0*velo + + nr_rows = len(velo.values) + + df[' DriveLength (meters)'] = np.zeros(nr_rows) + df[' StrokeDistance (meters)'] = np.zeros(nr_rows) + df[' DriveTime (ms)'] = np.zeros(nr_rows) + df[' StrokeRecoveryTime (ms)'] = np.zeros(nr_rows) + df[' AverageDriveForce (lbs)'] = np.zeros(nr_rows) + df[' PeakDriveForce (lbs)'] = np.zeros(nr_rows) + df[' lapIdx'] = np.zeros(nr_rows) + + + + unixtime = cum_time+starttimeunix + unixtime[0] = starttimeunix + + df['TimeStamp (sec)'] = unixtime + + + dt = np.diff(cum_time).mean() + wsize = round(5./dt) + + df = df.fillna(0) + + df.sort_values(by='TimeStamp (sec)',ascending=True) + + timestr = strftime("%Y%m%d-%H%M%S") + + csvfilename ='media/{code}_{importid}.csv'.format( + importid=importid, + code = uuid4().hex[:16] + ) + + res = df.to_csv(csvfilename+'.gz',index_label='index', + compression='gzip') + + id,message = dataprep.save_workout_database(csvfilename,r, + workouttype=workouttype, + workoutsource='mapmyfitness', + title=title, + notes=comments) + + return (id,message) + diff --git a/rowers/urls.py b/rowers/urls.py index e27a3b71..12561aaa 100644 --- a/rowers/urls.py +++ b/rowers/urls.py @@ -105,9 +105,6 @@ handler403 = 'views.error403_view' from oauth2_provider.views import base urlpatterns = [ -# url(r'^password_change/$',auth_views.password_change), -# url(r'^password_change_done/$',auth_views.password_change_done), -# url(r'^o/', include('oauth2_provider.urls', namespace='oauth2_provider')), url(r'^o/authorize/$', base.AuthorizationView.as_view(), name="authorize"), url(r'^o/token/$', base.TokenView.as_view(), name="token"), url(r'^', include(router.urls)), @@ -120,7 +117,6 @@ urlpatterns = [ url(r'^404/$', TemplateView.as_view(template_name='404.html'),name='404'), url(r'^400/$', TemplateView.as_view(template_name='400.html'),name='400'), url(r'^403/$', TemplateView.as_view(template_name='403.html'),name='403'), -# url(r'^imports/$', TemplateView.as_view(template_name='imports.html'), name='imports'), url(r'^imports/$', views.imports_view), url(r'^exportallworkouts/?$',views.workouts_summaries_email_view), url(r'^update_empower$',views.rower_update_empower_view), @@ -321,20 +317,16 @@ urlpatterns = [ url(r'^workout/c2list/$',views.workout_c2import_view), url(r'^workout/c2list/(?P\d+)$',views.workout_c2import_view), url(r'^workout/stravaimport/$',views.workout_stravaimport_view), - url(r'^workout/c2import/(?P\d+)/$',views.workout_getc2workout_view), url(r'^workout/c2import/all/$',views.workout_getc2workout_all), url(r'^workout/c2import/all/(?P\d+)$',views.workout_getc2workout_all), - url(r'^workout/stravaimport/(?P\d+)/$',views.workout_getstravaworkout_view), + url(r'^workout/(?P\w+.*)import/(?P\d+)/$',views.workout_getimportview), url(r'^workout/stravaimport/all/$',views.workout_getstravaworkout_all), url(r'^workout/stravaimport/next/$',views.workout_getstravaworkout_next), url(r'^workout/sporttracksimport/$',views.workout_sporttracksimport_view), - url(r'^workout/sporttracksimport/(?P\d+)/$',views.workout_getsporttracksworkout_view), url(r'^workout/sporttracksimport/all/$',views.workout_getsporttracksworkout_all), url(r'^workout/polarimport/$',views.workout_polarimport_view), url(r'^workout/runkeeperimport/$',views.workout_runkeeperimport_view), - url(r'^workout/runkeeperimport/(?P\d+)/$',views.workout_getrunkeeperworkout_view), url(r'^workout/underarmourimport/$',views.workout_underarmourimport_view), - url(r'^workout/underarmourimport/(?P\d+)/$',views.workout_getunderarmourworkout_view), url(r'^workout/(?P\d+)/deleteconfirm$',views.workout_delete_confirm_view), url(r'^workout/(?P\d+)/c2uploadw/$',views.workout_c2_upload_view), url(r'^workout/(?P\d+)/stravauploadw/$',views.workout_strava_upload_view), diff --git a/rowers/utils.py b/rowers/utils.py index f6dd932e..b05dc188 100644 --- a/rowers/utils.py +++ b/rowers/utils.py @@ -7,10 +7,14 @@ from django.conf import settings import uuid import datetime +import json + from django.http import HttpResponse import requests +from django.http import HttpResponse + lbstoN = 4.44822 landingpages = ( @@ -445,4 +449,7 @@ def get_strava_stream(r,metric,stravaid,series_type='time',fetchresolution='high metric=metric ) - return requests.get(url,headers=headers) + + s = requests.get(url,headers=headers) + + return s diff --git a/rowers/views.py b/rowers/views.py index c159f0f7..ae7b1b9b 100644 --- a/rowers/views.py +++ b/rowers/views.py @@ -840,47 +840,13 @@ def get_time(second): def getidfromsturi(uri,length=8): return uri[len(uri)-length:] -def splituadata(lijst): - t = [] - y = [] - for d in lijst: - t.append(d[0]) - y.append(d[1]) +import re - return np.array(t),np.array(y) +def getidfromuri(uri): + m = re.search('/(\w.*)\/(\d+)',uri) + return m.group(2) -def splitrunkeeperlatlongdata(lijst,tname,latname,lonname): - t = [] - lat = [] - lon = [] - for d in lijst: - t.append(d[tname]) - lat.append(d[latname]) - lon.append(d[lonname]) - return [np.array(t),np.array(lat),np.array(lon)] - -def splitrunkeeperdata(lijst,xname,yname): - x = [] - y = [] - for d in lijst: - x.append(d[xname]) - y.append(d[yname]) - - return [np.array(x),np.array(y)] - -# Splits SportTracks data which is one long sequence of -# [t,[lat,lon],t2,[lat2,lon2] ...] -# to [t,t2,t3, ...], [[lat,long],[lat2,long2],... -def splitstdata(lijst): - t = [] - latlong = [] - while len(lijst)>=2: - t.append(lijst[0]) - latlong.append(lijst[1]) - lijst = lijst[2:] - - return [np.array(t),np.array(latlong)] from utils import ( geo_distance,serialize_list,deserialize_list,uniqify, @@ -1269,524 +1235,8 @@ def add_workout_from_strokedata(user,importid,data,strokedata, return id,message -# Create workout from RunKeeper Data -def add_workout_from_runkeeperdata(user,importid,data): - # To Do - add utcoffset to time - workouttype = data['type'] - if workouttype not in [x[0] for x in Workout.workouttypes]: - workouttype = 'other' - try: - comments = data['notes'] - except: - comments = '' - - try: - utcoffset = tz(data['utcoffset']) - except: - utcoffset = 0 - - r = getrower(user) - - try: - rowdatetime = iso8601.parse_date(data['start_time']) - except iso8601.ParseError: - try: - rowdatetime = datetime.datetime.strptime(data['start_time'],"%Y-%m-%d %H:%M:%S") - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - except: - try: - rowdatetime = dateutil.parser.parse(data['start_time']) - #rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - except: - rowdatetime = datetime.datetime.strptime(data['date'],"%Y-%m-%d %H:%M:%S") - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - starttimeunix = arrow.get(rowdatetime).timestamp - #starttimeunix = mktime(rowdatetime.utctimetuple()) - starttimeunix += utcoffset*3600 - - - try: - title = data['name'] - except: - title = "Imported data" - - - - res = splitrunkeeperdata(data['distance'],'timestamp','distance') - - distance = res[1] - times_distance = res[0] - - try: - l = data['path'] - - res = splitrunkeeperlatlongdata(l,'timestamp','latitude','longitude') - times_location = res[0] - latcoord = res[1] - loncoord = res[2] - - except: - times_location = times_distance - latcoord = np.zeros(len(times_distance)) - loncoord = np.zeros(len(times_distance)) - if workouttype in types.otwtypes: - workouttype = 'rower' - - try: - res = splitrunkeeperdata(data['cadence'],'timestamp','cadence') - times_spm = res[0] - spm = res[1] - except KeyError: - times_spm = times_distance - spm = 0*times_distance - - try: - res = splitrunkeeperdata(data['heart_rate'],'timestamp','heart_rate') - hr = res[1] - times_hr = res[0] - except KeyError: - times_hr = times_distance - hr = 0*times_distance - - - # create data series and remove duplicates - distseries = pd.Series(distance,index=times_distance) - distseries = distseries.groupby(distseries.index).first() - latseries = pd.Series(latcoord,index=times_location) - try: - latseries = latseries.groupby(latseries.index).first() - except TypeError: - latseries = 0.0*distseries - - lonseries = pd.Series(loncoord,index=times_location) - try: - lonseries = lonseries.groupby(lonseries.index).first() - except TypeError: - lonseries = 0.0*distseries - - spmseries = pd.Series(spm,index=times_spm) - spmseries = spmseries.groupby(spmseries.index).first() - hrseries = pd.Series(hr,index=times_hr) - try: - hrseries = hrseries.groupby(hrseries.index).first() - except TypeError: - hrseries = 0*distseries - - - # Create dicts and big dataframe - d = { - ' Horizontal (meters)': distseries, - ' latitude': latseries, - ' longitude': lonseries, - ' Cadence (stokes/min)': spmseries, - ' HRCur (bpm)' : hrseries, - } - - df = pd.DataFrame(d) - - df = df.groupby(level=0).last() - - cum_time = df.index.values - df[' ElapsedTime (sec)'] = cum_time - - velo = df[' Horizontal (meters)'].diff()/df[' ElapsedTime (sec)'].diff() - - df[' Power (watts)'] = 0.0*velo - - nr_rows = len(velo.values) - - df[' DriveLength (meters)'] = np.zeros(nr_rows) - df[' StrokeDistance (meters)'] = np.zeros(nr_rows) - df[' DriveTime (ms)'] = np.zeros(nr_rows) - df[' StrokeRecoveryTime (ms)'] = np.zeros(nr_rows) - df[' AverageDriveForce (lbs)'] = np.zeros(nr_rows) - df[' PeakDriveForce (lbs)'] = np.zeros(nr_rows) - df[' lapIdx'] = np.zeros(nr_rows) - - - - unixtime = cum_time+starttimeunix - try: - unixtime[0] = starttimeunix - except IndexError: - return (0,'No data to import') - - df['TimeStamp (sec)'] = unixtime - - - dt = np.diff(cum_time).mean() - wsize = round(5./dt) - - # velo2 = stravastuff.ewmovingaverage(velo,wsize) - - # df[' Stroke500mPace (sec/500m)'] = 500./velo2 - - - df = df.fillna(0) - - df.sort_values(by='TimeStamp (sec)',ascending=True) - - timestr = strftime("%Y%m%d-%H%M%S") - -# csvfilename ='media/Import_'+str(importid)+'.csv' - csvfilename ='media/{code}_{importid}.csv'.format( - importid=importid, - code = uuid4().hex[:16] - ) - - res = df.to_csv(csvfilename+'.gz',index_label='index', - compression='gzip') - - id,message = dataprep.save_workout_database(csvfilename,r, - workouttype=workouttype, - workoutsource='runkeeper', - title=title, - notes=comments) - - return (id,message) - - - -# Create workout from SportTracks Data, which are slightly different -# than Strava or Concept2 data -def add_workout_from_stdata(user,importid,data): - workouttype = data['type'] - if workouttype not in [x[0] for x in Workout.workouttypes]: - workouttype = 'other' - try: - comments = data['comments'] - except: - comments = '' - - - r = getrower(user) - try: - rowdatetime = iso8601.parse_date(data['start_time']) - except iso8601.ParseError: - try: - rowdatetime = datetime.datetime.strptime(data['start_time'],"%Y-%m-%d %H:%M:%S") - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - except: - try: - rowdatetime = dateutil.parser.parse(data['start_time']) - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - except: - rowdatetime = datetime.datetime.strptime(data['date'],"%Y-%m-%d %H:%M:%S") - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - starttimeunix = arrow.get(rowdatetime).timestamp - - try: - title = data['name'] - except: - title = "Imported data" - - try: - res = splitstdata(data['distance']) - distance = res[1] - times_distance = res[0] - except KeyError: - try: - res = splitstdata(data['heartrate']) - times_distance = res[0] - distance = 0*times_distance - except KeyError: - return (0,"No distance or heart rate data in the workout") - - - try: - l = data['location'] - - res = splitstdata(l) - times_location = res[0] - latlong = res[1] - latcoord = [] - loncoord = [] - - for coord in latlong: - lat = coord[0] - lon = coord[1] - latcoord.append(lat) - loncoord.append(lon) - except: - times_location = times_distance - latcoord = np.zeros(len(times_distance)) - loncoord = np.zeros(len(times_distance)) - if workouttype in types.otwtypes: - workouttype = 'rower' - - try: - res = splitstdata(data['cadence']) - times_spm = res[0] - spm = res[1] - except KeyError: - times_spm = times_distance - spm = 0*times_distance - - try: - res = splitstdata(data['heartrate']) - hr = res[1] - times_hr = res[0] - except KeyError: - times_hr = times_distance - hr = 0*times_distance - - - # create data series and remove duplicates - distseries = pd.Series(distance,index=times_distance) - distseries = distseries.groupby(distseries.index).first() - latseries = pd.Series(latcoord,index=times_location) - latseries = latseries.groupby(latseries.index).first() - lonseries = pd.Series(loncoord,index=times_location) - lonseries = lonseries.groupby(lonseries.index).first() - spmseries = pd.Series(spm,index=times_spm) - spmseries = spmseries.groupby(spmseries.index).first() - hrseries = pd.Series(hr,index=times_hr) - hrseries = hrseries.groupby(hrseries.index).first() - - - # Create dicts and big dataframe - d = { - ' Horizontal (meters)': distseries, - ' latitude': latseries, - ' longitude': lonseries, - ' Cadence (stokes/min)': spmseries, - ' HRCur (bpm)' : hrseries, - } - - - - df = pd.DataFrame(d) - - df = df.groupby(level=0).last() - - cum_time = df.index.values - df[' ElapsedTime (sec)'] = cum_time - - velo = df[' Horizontal (meters)'].diff()/df[' ElapsedTime (sec)'].diff() - - df[' Power (watts)'] = 0.0*velo - - nr_rows = len(velo.values) - - df[' DriveLength (meters)'] = np.zeros(nr_rows) - df[' StrokeDistance (meters)'] = np.zeros(nr_rows) - df[' DriveTime (ms)'] = np.zeros(nr_rows) - df[' StrokeRecoveryTime (ms)'] = np.zeros(nr_rows) - df[' AverageDriveForce (lbs)'] = np.zeros(nr_rows) - df[' PeakDriveForce (lbs)'] = np.zeros(nr_rows) - df[' lapIdx'] = np.zeros(nr_rows) - - - - unixtime = cum_time+starttimeunix - unixtime[0] = starttimeunix - - df['TimeStamp (sec)'] = unixtime - - - dt = np.diff(cum_time).mean() - wsize = round(5./dt) - - velo2 = stravastuff.ewmovingaverage(velo,wsize) - - df[' Stroke500mPace (sec/500m)'] = 500./velo2 - - - df = df.fillna(0) - - df.sort_values(by='TimeStamp (sec)',ascending=True) - - timestr = strftime("%Y%m%d-%H%M%S") - -# csvfilename ='media/Import_'+str(importid)+'.csv' - csvfilename ='media/{code}_{importid}.csv'.format( - importid=importid, - code = uuid4().hex[:16] - ) - - res = df.to_csv(csvfilename+'.gz',index_label='index', - compression='gzip') - - id,message = dataprep.save_workout_database(csvfilename,r, - workouttype=workouttype, - title=title, - notes=comments, - workoutsource='sporttracks') - - return (id,message) - -# Create workout from SportTracks Data, which are slightly different -# than Strava or Concept2 data -def add_workout_from_underarmourdata(user,importid,data): - workouttype = 'water' - - try: - comments = data['notes'] - except: - comments = '' - - try: - thetimezone = tz(data['start_locale_timezone']) - except: - thetimezone = 'UTC' - - r = getrower(user) - try: - rowdatetime = iso8601.parse_date(data['start_datetime']) - except iso8601.ParseError: - try: - rowdatetime = datetime.datetime.strptime(data['start_datetime'],"%Y-%m-%d %H:%M:%S") - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - except: - try: - rowdatetime = dateutil.parser.parse(data['start_datetime']) - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - except: - rowdatetime = datetime.datetime.strptime(data['date'],"%Y-%m-%d %H:%M:%S") - rowdatetime = thetimezone.localize(rowdatetime).astimezone(utc) - starttimeunix = arrow.get(rowdatetime).timestamp - #starttimeunix = mktime(rowdatetime.utctimetuple()) - - - try: - title = data['name'] - except: - title = "Imported data" - - timeseries = data['time_series'] - - # position, distance, speed, cadence, power, - - res = splituadata(timeseries['distance']) - - distance = res[1] - - times_distance = res[0] - - - try: - l = timeseries['position'] - - res = splituadata(l) - times_location = res[0] - latlong = res[1] - latcoord = [] - loncoord = [] - - for coord in latlong: - lat = coord['lat'] - lon = coord['lng'] - latcoord.append(lat) - loncoord.append(lon) - except: - times_location = times_distance - latcoord = np.zeros(len(times_distance)) - loncoord = np.zeros(len(times_distance)) - if workouttype in types.otwtypes: - workouttype = 'rower' - - try: - res = splituadata(timeseries['cadence']) - times_spm = res[0] - spm = res[1] - except KeyError: - times_spm = times_distance - spm = 0*times_distance - - try: - res = splituadata(timeseries['heartrate']) - hr = res[1] - times_hr = res[0] - except KeyError: - times_hr = times_distance - hr = 0*times_distance - - - # create data series and remove duplicates - distseries = pd.Series(distance,index=times_distance) - distseries = distseries.groupby(distseries.index).first() - latseries = pd.Series(latcoord,index=times_location) - latseries = latseries.groupby(latseries.index).first() - lonseries = pd.Series(loncoord,index=times_location) - lonseries = lonseries.groupby(lonseries.index).first() - spmseries = pd.Series(spm,index=times_spm) - spmseries = spmseries.groupby(spmseries.index).first() - hrseries = pd.Series(hr,index=times_hr) - hrseries = hrseries.groupby(hrseries.index).first() - - - # Create dicts and big dataframe - d = { - ' Horizontal (meters)': distseries, - ' latitude': latseries, - ' longitude': lonseries, - ' Cadence (stokes/min)': spmseries, - ' HRCur (bpm)' : hrseries, - } - - - - df = pd.DataFrame(d) - - df = df.groupby(level=0).last() - - cum_time = df.index.values - df[' ElapsedTime (sec)'] = cum_time - - velo = df[' Horizontal (meters)'].diff()/df[' ElapsedTime (sec)'].diff() - - df[' Power (watts)'] = 0.0*velo - - nr_rows = len(velo.values) - - df[' DriveLength (meters)'] = np.zeros(nr_rows) - df[' StrokeDistance (meters)'] = np.zeros(nr_rows) - df[' DriveTime (ms)'] = np.zeros(nr_rows) - df[' StrokeRecoveryTime (ms)'] = np.zeros(nr_rows) - df[' AverageDriveForce (lbs)'] = np.zeros(nr_rows) - df[' PeakDriveForce (lbs)'] = np.zeros(nr_rows) - df[' lapIdx'] = np.zeros(nr_rows) - - - - unixtime = cum_time+starttimeunix - unixtime[0] = starttimeunix - - df['TimeStamp (sec)'] = unixtime - - - dt = np.diff(cum_time).mean() - wsize = round(5./dt) - - # velo2 = stravastuff.ewmovingaverage(velo,wsize) - - # df[' Stroke500mPace (sec/500m)'] = 500./velo2 - - - df = df.fillna(0) - - df.sort_values(by='TimeStamp (sec)',ascending=True) - - timestr = strftime("%Y%m%d-%H%M%S") - -# csvfilename ='media/Import_'+str(importid)+'.csv' - csvfilename ='media/{code}_{importid}.csv'.format( - importid=importid, - code = uuid4().hex[:16] - ) - - res = df.to_csv(csvfilename+'.gz',index_label='index', - compression='gzip') - - id,message = dataprep.save_workout_database(csvfilename,r, - workouttype=workouttype, - workoutsource='mapmyfitness', - title=title, - notes=comments) - - return (id,message) @@ -2212,7 +1662,6 @@ def workout_c2_upload_view(request,id=0): w = get_workout(id) r = w.user - try: message,c2id = c2stuff.workout_c2_upload(request.user,w) except NoTokenError: @@ -2229,7 +1678,9 @@ def workout_c2_upload_view(request,id=0): 'id':str(w.id), }) - return HttpResponseRedirect(url) + response = HttpResponseRedirect(url) + + return response # Upload workout to RunKeeper @login_required() @@ -2365,13 +1816,15 @@ def workout_sporttracks_upload_view(request,id=0): r = w.user try: - thetoken = sporttracks_open(r.user) + res = sporttracks_open(r.user) + thetoken = res[0] except NoTokenError: return HttpResponseRedirect("/rowers/me/sporttracksauthorize/") if (checkworkoutuser(request.user,w)): data = sporttracksstuff.createsporttracksworkoutdata(w) + if not data: message = "Data error" messages.error(request,message) @@ -2380,7 +1833,7 @@ def workout_sporttracks_upload_view(request,id=0): 'id':str(w.id), }) return HttpResponseRedirect(url) - + authorizationstring = str('Bearer ' + thetoken) headers = {'Authorization': authorizationstring, 'user-agent': 'sanderroosendaal', @@ -2389,6 +1842,7 @@ def workout_sporttracks_upload_view(request,id=0): url = "https://api.sporttracks.mobi/api/v2/fitnessActivities.json" response = requests.post(url,headers=headers,data=json.dumps(data)) + # check for duplicate error first if (response.status_code == 409 ): message = "Duplicate error" @@ -2396,7 +1850,7 @@ def workout_sporttracks_upload_view(request,id=0): w.uploadedtosporttracks = -1 w.save() elif (response.status_code == 201 or response.status_code==200): - s= json.loads(response.text) + s= response.json() sporttracksid = sporttracksstuff.getidfromresponse(response) w.uploadedtosporttracks = sporttracksid w.save() @@ -2544,6 +1998,7 @@ def rower_tp_authorize(request): def rower_c2_token_refresh(request): r = getrower(request.user) res = c2stuff.do_refresh_token(r.c2refreshtoken) + if res[0] != None: access_token = res[0] expires_in = res[1] @@ -2560,7 +2015,7 @@ def rower_c2_token_refresh(request): messages.info(request,successmessage) else: message = "Something went wrong (refreshing tokens). Please reauthorize:" - messages.error(request,successmessage) + messages.error(request,message) return imports_view(request) @@ -2775,7 +2230,8 @@ def rower_process_stravacallback(request): @login_required() def rower_process_runkeepercallback(request): code = request.GET['code'] - access_token = runkeeperstuff.get_token(code) + res = runkeeperstuff.get_token(code) + access_token = res[0] r = getrower(request.user) r.runkeepertoken = access_token @@ -9729,11 +9185,8 @@ def workout_stravaimport_view(request,message=""): return HttpResponseRedirect("/rowers/me/stravaauthorize/") message = "Something went wrong in workout_stravaimport_view" messages.error(request,message) - if settings.DEBUG: - return HttpResponse(res) - else: - url = reverse(workouts_view) - return HttpResponseRedirect(url) + url = reverse(workouts_view) + return HttpResponseRedirect(url) else: workouts = [] r = getrower(request.user) @@ -9789,12 +9242,13 @@ def workout_runkeeperimport_view(request,message=""): workouts = [] for item in res.json()['items']: d = int(float(item['total_distance'])) - i = getidfromsturi(item['uri'],length=9) + i = getidfromuri(item['uri']) ttot = str(datetime.timedelta(seconds=int(float(item['duration'])))) s = item['start_time'] r = item['type'] keys = ['id','distance','duration','starttime','type'] values = [i,d,ttot,s,r] + res = dict(zip(keys,values)) workouts.append(res) return render(request,'runkeeper_list_import.html', @@ -9816,11 +9270,8 @@ def workout_underarmourimport_view(request,message=""): return HttpResponseRedirect("/rowers/me/underarmourauthorize/") message = "Something went wrong in workout_underarmourimport_view" messages.error(request,message) - if settings.DEBUG: - return HttpResponse(res) - else: - url = reverse(workouts_view) - return HttpResponseRedirect(url) + url = reverse(workouts_view) + return HttpResponseRedirect(url) else: workouts = [] items = res.json()['_embedded']['workouts'] @@ -9914,14 +9365,14 @@ def workout_sporttracksimport_view(request,message=""): else: workouts = [] r = getrower(request.user) - stids = [int(getidfromsturi(item['uri'])) for item in res.json()['items']] + stids = [int(getidfromuri(item['uri'])) for item in res.json()['items']] knownstids = uniqify([ w.uploadedtosporttracks for w in Workout.objects.filter(user=r) ]) newids = [stid for stid in stids if not stid in knownstids] for item in res.json()['items']: d = int(float(item['total_distance'])) - i = int(getidfromsturi(item['uri'])) + i = int(getidfromuri(item['uri'])) if i in knownstids: nnn = '' else: @@ -10030,11 +9481,8 @@ def workout_c2import_view(request,page=1,message=""): if (res.status_code != 200): message = "Something went wrong in workout_c2import_view (C2 token refresh)" messages.error(request,message) - if settings.DEBUG: - return HttpResponse(res) - else: - url = reverse(workouts_view) - return HttpResponseRedirect(url) + url = reverse(workouts_view) + return HttpResponseRedirect(url) else: workouts = [] r = getrower(request.user) @@ -10068,111 +9516,153 @@ def workout_c2import_view(request,page=1,message=""): 'page':page, }) - -# Import a workout from Strava +importsources = { + 'c2':c2stuff, + 'strava':stravastuff, + 'polar':polarstuff, + 'ownapi':ownapistuff, + 'runkeeper':runkeeperstuff, + 'sporttracks':sporttracksstuff, + 'trainingpeaks':tpstuff, + 'underarmour':underarmourstuff + } + @login_required() -def workout_getstravaworkout_view(request,stravaid): - res = stravastuff.get_strava_workout(request.user,stravaid) +def workout_getimportview(request,externalid,source = 'c2'): + res = importsources[source].get_workout(request.user,externalid) if not res[0]: messages.error(request,res[1]) return imports_view(request) - + strokedata = res[1] data = res[0] - id,message = add_workout_from_strokedata(request.user,stravaid,data,strokedata, - source='strava', - workoutsource='strava') + + + # Now works only for C2 + if strokedata.empty: + distance = data['distance'] + c2id = data['id'] + workouttype = data['type'] + verified = data['verified'] + startdatetime = iso8601.parse_date(data['date']) + weightclass = data['weight_class'] + weightcategory = 'hwt' + if weightclass == "L": + weightcategory = 'lwt' + totaltime = data['time']/10. + duration = dataprep.totaltime_sec_to_string(totaltime) + duration = datetime.datetime.strptime(duration,'%H:%M:%S.%f').time() + + try: + timezone_str = data['timezone'] + except: + timezone_str = 'UTC' + + if timezone_str is None: + timezone_str = 'UTC' + + workoutdate = startdatetime.astimezone( + pytz.timezone(timezone_str) + ).strftime('%Y-%m-%d') + starttime = startdatetime.astimezone( + pytz.timezone(timezone_str) + ).strftime('%H:%M:%S') + + r = getrower(request.user) + + id, message = dataprep.create_row_df(r, + distance, + duration, + startdatetime, + workouttype=workouttype) + + w = Workout.objects.get(id=id) + w.uploadedtoc2 = c2id + w.name = 'Imported from C2' + w.workouttype = 'rower' + w.save() + + message = "This workout does not have any stroke data associated with it. We created synthetic stroke data." + messages.info(request,message) + url = reverse(r.defaultlandingpage, + kwargs = { + 'id':int(id), + }) + + return HttpResponseRedirect(url) + + # strokdata not empty - continue + id,message = importsources[source].add_workout_from_data( + request.user, + externalid,data, + strokedata, + source=source, + workoutsource=source) + w = get_workout(id) - w.uploadedtostrava=stravaid + if 'workout' in data: + if 'splits' in data['workout']: + splitdata = data['workout']['splits'] + if 'intervals' in data['workout']: + splitdata = data['workout']['intervals'] + else: + splitdata = False + + # splitdata (only for C2) + if splitdata: + w.summary,sa,results = c2stuff.summaryfromsplitdata(splitdata,data,w.csvfilename) + w.save() + + from rowingdata.trainingparser import getlist + # set stroke data in CSV file + if sa: + values = getlist(sa) + units = getlist(sa,sel='unit') + types = getlist(sa,sel='type') + + rowdata = rdata(w.csvfilename) + if rowdata: + rowdata.updateintervaldata(values, + units,types,results) + + rowdata.write_csv(w.csvfilename,gzip=True) + dataprep.update_strokedata(w.id,rowdata.df) + + + + if source == 'strava': + w.uploadedtostrava = externalid + elif source == 'c2': + w.uploadedtoc2 = externalid + elif source == 'polar': + w.uploadedtopolar = externalid + elif source == 'runkeeper': + w.uploadedtorunkeeper = externalid + elif source == 'sporttracks': + w.uploadedtosporttracks = externalid + elif source == 'trainingpeaks': + w.uploadedtotp = externalid + elif source == 'underarmour': + w.uploadedtounderarmour = externalid + w.save() - if message: - messages.error(request,message) - - r = getrower(request.user) - - url = reverse(r.defaultlandingpage, - kwargs = { - 'id':int(id), - }) - - return HttpResponseRedirect(url) - -# Imports a workout from Runkeeper -@login_required() -def workout_getrunkeeperworkout_view(request,runkeeperid): - res = runkeeperstuff.get_runkeeper_workout(request.user,runkeeperid) - try: - data = res.json() - except ValueError: - messages.error(request,'Error getting workout from Runkeeper') - url = reverse(workout_runkeeperimport_view) - return HttpResponseRedirect(url) - - id,message = add_workout_from_runkeeperdata(request.user,runkeeperid,data) - w = Workout.objects.get(id=id) - w.uploadedtorunkeeper=runkeeperid - thetoken = runkeeper_open(request.user) - w.save() if message: messages.error(request,message) r = getrower(request.user) - + url = reverse(r.defaultlandingpage, kwargs = { - 'id':int(id), - }) + 'id':int(id) + }) + return HttpResponseRedirect(url) - -# Imports a workout from Underarmour -@login_required() -def workout_getunderarmourworkout_view(request,underarmourid): - res = underarmourstuff.get_underarmour_workout(request.user,underarmourid) - data = res.json() - - id,message = add_workout_from_underarmourdata(request.user,underarmourid,data) - w = Workout.objects.get(id=id) - w.uploadedtounderarmour=underarmourid - w.save() - if message: - messages.error(request,message) - - r = getrower(request.user) - url = reverse(r.defaultlandingpage, - kwargs = { - 'id':int(id), - }) - return HttpResponseRedirect(url) -# Imports a workout from SportTracks -@login_required() -def workout_getsporttracksworkout_view(request,sporttracksid): - res = sporttracksstuff.get_sporttracks_workout(request.user,sporttracksid) - data = res.json() - - id,message = add_workout_from_stdata(request.user,sporttracksid,data) - if id==0: - messages.error(request,message) - url = reverse(workouts_view) - return HttpResponseRedirect(url) - w = Workout.objects.get(id=id) - w.uploadedtosporttracks=sporttracksid - w.save() - if message: - messages.error(request,message) - - r = getrower(request.user) - - url = reverse(r.defaultlandingpage, - kwargs = { - 'id':int(id), - }) - return HttpResponseRedirect(url) # Imports all new workouts from SportTracks @login_required() @@ -10180,7 +9670,7 @@ def workout_getsporttracksworkout_all(request): res = sporttracksstuff.get_sporttracks_workout_list(request.user) if (res.status_code == 200): r = getrower(request.user) - stids = [int(getidfromsturi(item['uri'])) for item in res.json()['items']] + stids = [int(getidfromuri(item['uri'])) for item in res.json()['items']] knownstids = uniqify([ w.uploadedtosporttracks for w in Workout.objects.filter(user=r) ]) @@ -10277,146 +9767,6 @@ def workout_getstravaworkout_next(request): -# Imports a workout from Concept2 -@login_required() -def workout_getc2workout_view(request,c2id): - try: - thetoken = c2_open(request.user) - except NoTokenError: - return HttpResponseRedirect("/rowers/me/c2authorize/") - - res = c2stuff.get_c2_workout(request.user,c2id) - if (res.status_code == 200): - data = res.json()['data'] - splitdata = None - if 'workout' in data: - if 'splits' in data['workout']: - splitdata = data['workout']['splits'] - if 'intervals' in data['workout']: - splitdata = data['workout']['intervals'] - - # Check if workout has stroke data, and get the stroke data - if data['stroke_data']: - res2 = c2stuff.get_c2_workout_strokes(request.user,c2id) - else: - distance = data['distance'] - c2id = data['id'] - workouttype = data['type'] - verified = data['verified'] - startdatetime = iso8601.parse_date(data['date']) - weightclass = data['weight_class'] - weightcategory = 'hwt' - if weightclass == "L": - weightcategory = 'lwt' - totaltime = data['time']/10. - duration = dataprep.totaltime_sec_to_string(totaltime) - duration = datetime.datetime.strptime(duration,'%H:%M:%S.%f').time() - - try: - timezone_str = data['timezone'] - except: - timezone_str = 'UTC' - - if timezone_str is None: - timezone_str = 'UTC' - - workoutdate = startdatetime.astimezone( - pytz.timezone(timezone_str) - ).strftime('%Y-%m-%d') - starttime = startdatetime.astimezone( - pytz.timezone(timezone_str) - ).strftime('%H:%M:%S') - - r = getrower(request.user) - - id, message = dataprep.create_row_df(r, - distance, - duration, - startdatetime, -# title = 'Imported from C2', - workouttype=workouttype) - - w = Workout.objects.get(id=id) - w.uploadedtoc2 = c2id - w.name = 'Imported from C2' - w.workouttype = 'rower' - w.save() - - message = "This workout does not have any stroke data associated with it. We created synthetic stroke data." - messages.info(request,message) - url = reverse(r.defaultlandingpage, - kwargs = { - 'id':int(id), - }) - - return HttpResponseRedirect(url) - - # We have stroke data - if res2.status_code == 200: - strokedata = pd.DataFrame.from_dict(res2.json()['data']) - # create the workout - id,message = add_workout_from_strokedata(request.user,c2id,data,strokedata, - source='c2') - w = Workout.objects.get(id=id) - w.uploadedtoc2=c2id - # If we have split data, update the stroke data so they - # match exactly (some users are anal about this) - if splitdata: - try: - w.summary,sa,results = c2stuff.summaryfromsplitdata(splitdata,data,w.csvfilename) - except: - sa = [] - results = [] - with open("media/c2splitdata.log","a") as errorlog: - errorstring = str(sys.exc_info()[0]) - timestr = strftime("%Y%m%d-%H%M%S") - errorlog.write(timestr+errorstring+"\r\n") - errorlog.write("views.py line 952\r\n") - - w.save() - - from rowingdata.trainingparser import getlist - # set stroke data in CSV file - if sa: - values = getlist(sa) - units = getlist(sa,sel='unit') - types = getlist(sa,sel='type') - - rowdata = rdata(w.csvfilename) - if rowdata: - rowdata.updateintervaldata(values, - units,types,results) - - rowdata.write_csv(w.csvfilename,gzip=True) - dataprep.update_strokedata(w.id,rowdata.df) - - if message: - messages.error(request,message) - - r = getrower(request.user) - - url = reverse(r.defaultlandingpage, - kwargs = { - 'id':int(id), - }) - - return HttpResponseRedirect(url) - else: - # message = json.loads(s.text)['message'] - message = json.loads(res2.text)['message'] - messages.error(request,message) - - url = reverse(workout_c2import_view) - return HttpResponseRedirect(url) - - else: - message = "Received error code from Concept2" - messages.error(request,message) - if settings.DEBUG: - return HttpResponse(res) - else: - url = reverse(workout_c2import_view) - return HttpResponseRedirect(url) @login_required def workout_toggle_ranking(request,id=0): @@ -11763,6 +11113,7 @@ def rower_exportsettings_view(request): setattr(r, attr, value) r.save() + messages.info(request,'Settings saved') else: form = RowerExportForm(instance=r) return render(request, 'rower_exportsettings.html', diff --git a/rowsandall_app/settings.py b/rowsandall_app/settings.py index 95ac1a24..3ebb23d1 100644 --- a/rowsandall_app/settings.py +++ b/rowsandall_app/settings.py @@ -415,3 +415,4 @@ try: workoutemailbox = CFG['workoutemailbox'] except KeyError: workoutemailbox = 'workouts@rowsandall.com' +