1287 lines
39 KiB
Python
1287 lines
39 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from datetime import timedelta
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from django.utils import timezone
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import math
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import numpy as np
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import pandas as pd
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import colorsys
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from django.conf import settings
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import collections
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import uuid
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import datetime
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import json
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import time
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from fitparse import FitFile
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from django.conf import settings
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from django.http import HttpResponse
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import requests
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from django.http import HttpResponse
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import humanize
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from pytz.exceptions import UnknownTimeZoneError
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import pytz
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import iso8601
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from iso8601 import ParseError
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import arrow
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lbstoN = 4.44822
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landingpages = (
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('workout_edit_view','Edit View'),
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('workout_workflow_view','Workflow View'),
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('workout_stats_view','Stats View'),
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('workout_data_view','Data Explore View'),
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('workout_summary_edit_view','Intervals Editor'),
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)
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workflowmiddlepanel = (
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('panel_statcharts.html','Static Charts'),
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('flexthumbnails.html','Flex Charts'),
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('panel_summary.html','Summary'),
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('panel_map.html','Map'),
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('panel_comments.html','Basic Info and Links'),
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('panel_notes.html','Workout Notes'),
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('panel_shortcomment.html','Comment Link'),
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('panel_middlesocial.html','Social Media Share Buttons'),
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)
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defaultmiddle = ['panel_middlesocial.html',
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'panel_statcharts.html',
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'flexthumbnails.html',
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'panel_summary.html',
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'panel_map.html']
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workflowleftpanel = (
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('panel_navigationheader.html','Navigation Header'),
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('panel_editbuttons.html','Edit Workout Button'),
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('panel_delete.html','Delete Workout Button'),
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('panel_export.html','Export Workout Button'),
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('panel_social.html','Social Media Share Buttons'),
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('panel_advancededit.html','Advanced Workout Edit Button'),
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('panel_editintervals.html','Edit Intervals Button'),
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('panel_stats.html','Workout Statistics Button'),
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('panel_flexchart.html','Flex Chart'),
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('panel_staticchart.html','Create Static Charts Buttons'),
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('panel_uploadimage.html','Attach Image'),
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('panel_geekyheader.html','Geeky Header'),
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('panel_editwind.html','Edit Wind Data'),
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('panel_editstream.html','Edit Stream Data'),
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('panel_otwpower.html','Run OTW Power Calculations'),
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('panel_mapview.html','Map'),
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('panel_ranking.html','Ranking View'),
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)
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defaultleft = [
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'panel_navigationheader.html',
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'panel_editbuttons.html',
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'panel_advancededit.html',
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'panel_editintervals.html',
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'panel_stats.html',
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'panel_staticchart.html',
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'panel_uploadimage.html',
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]
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coxes_calls = [
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'Sit Ready!',
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"Let's relax the shoulders, and give me a power ten to the finish!",
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"Almost there. Give me ten strokes on the legs!",
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"Let it run!",
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"Don't rush the slides!",
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"Quick hands.",
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"You are clearing the puddles.",
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"Let's push through now. Get me that open water.",
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"We're going for the line now. Power ten on the next.",
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]
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info_calls = [
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"Please give us a minute to count all those strokes, you've been working hard!",
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"Please give us a minute to count all your strokes."
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]
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import random
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def dologging(filename,s):
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tstamp = time.localtime()
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timestamp = time.strftime('%b-%d-%Y %H:%M:%S', tstamp)
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with open(filename,'a') as f:
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f.write('\n')
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f.write(timestamp)
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f.write(' ')
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f.write(s)
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def to_pace(pace):
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minutes, seconds = divmod(pace,60)
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seconds, rest = divmod(seconds, 1)
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tenths = int(rest*10)
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s = '{m:0>2}:{s:0>2}.{t:0>1}'.format(
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m=int(minutes),
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s=int(seconds),
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t=int(tenths)
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)
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return s
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def get_call():
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call1 = random.choice(coxes_calls)
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call2 = random.choice(info_calls)
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call = """<div id="id_sitready" class="successmessage">
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<p>
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%s (%s)
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</p>
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</div>
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""" % (call1, call2)
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return call
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def absolute(request):
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urls = {
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'ABSOLUTE_ROOT': request.build_absolute_uri('/')[:-1].strip("/"),
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'ABSOLUTE_ROOT_URL': request.build_absolute_uri('/').strip("/"),
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'PATH':request.build_absolute_uri(),
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}
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return urls
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def trcolors(r1,g1,b1,r2,g2,b2):
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r1 = r1/255.
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r2 = r2/255.
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g1 = g1/255.
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g2 = g2/255.
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b2 = b2/255.
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b1 = b1/255.
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h1,s1,v1 = colorsys.rgb_to_hsv(r1,g1,b1)
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h2,s2,v2 = colorsys.rgb_to_hsv(r2,g2,b2)
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return 360*h1,360*(h2-h1),s1,(s2-s1),v1,(v2-v1)
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palettes = {
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'monochrome_blue':(207,-4,0.06,0.89,1.0,-0.38),
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'gold_sunset':(47,-31,.26,-0.12,0.94,-0.5),
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'blue_red':(207,-200,.85,0,.74,-.24),
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'blue_green':(207,-120,.85,0,.75,.25),
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'cyan_green':(192,-50,.08,.65,.98,-.34),
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'cyan_purple':trcolors(237,248,251,136,65,157),
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'green_blue':trcolors(240,249,232,8,104,172),
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'orange_red':trcolors(254,240,217,179,0,0),
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'cyan_blue':trcolors(241,238,246,4,90,141),
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'cyan_green':trcolors(246,239,247,1,108,89),
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'cyan_magenta':trcolors(241,238,246,152,0,67),
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'beige_magenta':trcolors(254,235,226,122,1,119),
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'yellow_green':trcolors(255,255,204,0,104,55),
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'yellow_blue':trcolors(255,255,205,37,52,148),
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'autumn':trcolors(255,255,212,153,52,4),
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'yellow_red':trcolors(255,255,178,189,0,39)
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}
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rankingdistances = [100,500,1000,2000,5000,6000,10000,21097,42195,100000]
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rankingdurations = []
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rankingdurations.append(datetime.time(minute=1))
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rankingdurations.append(datetime.time(minute=4))
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rankingdurations.append(datetime.time(minute=30))
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rankingdurations.append(datetime.time(hour=1,minute=15))
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rankingdurations.append(datetime.time(hour=1))
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def range_to_color_hex(groupcols,palette='monochrome_blue'):
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try:
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plt = palettes[palette]
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except KeyError: # pragma: no cover
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plt = palettes['monochrome_blue']
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rgb = [colorsys.hsv_to_rgb((plt[0]+plt[1]*x)/360.,
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plt[2]+plt[3]*x,
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plt[4]+plt[5]*x) for x in groupcols]
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RGB = [(int(255.*r),int(255.*g),int(255.*b)) for (r, g, b) in rgb]
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colors = ["#%02x%02x%02x" % (r, g, b) for (r, g, b) in RGB]
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return colors
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def str2bool(v): # pragma: no cover
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return v.lower() in ("yes", "true", "t", "1")
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def uniqify(seq, idfun=None):
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# order preserving
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if idfun is None:
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def idfun(x): return x
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seen = {}
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result = []
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for item in seq:
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marker = idfun(item)
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# in old Python versions:
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# if seen.has_key(marker)
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# but in new ones:
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if marker in seen: continue
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seen[marker] = 1
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result.append(item)
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return result
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def serialize_list(value,token=','): # pragma: no cover
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assert(isinstance(value, list) or isinstance(value, tuple) or isinstance(value,np.ndarray))
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return token.join([str(s) for s in value])
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def deserialize_list(value,token=','): # pragma: no cover
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if isinstance(value, list):
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return value
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elif isinstance(value, np.ndarray):
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return value
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return value.split(token)
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def geo_distance(lat1,lon1,lat2,lon2):
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""" Approximate distance and bearing between two points
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defined by lat1,lon1 and lat2,lon2
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This is a slight underestimate but is close enough for our purposes,
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We're never moving more than 10 meters between trackpoints
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Bearing calculation fails if one of the points is a pole.
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(Hey, from the North pole you can walk South, East, North and end up
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on the same spot!)
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"""
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# radius of our earth in km --> should be moved to settings if
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# rowing takes off on other planets
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R = 6373.0
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# pi
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pi = math.pi
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lat1 = math.radians(lat1)
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lat2 = math.radians(lat2)
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lon1 = math.radians(lon1)
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lon2 = math.radians(lon2)
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dlon = lon2 - lon1
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dlat = lat2 - lat1
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a = math.sin(dlat / 2)**2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2)**2
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c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
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distance = R * c
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tc1 = math.atan2(math.sin(lon2-lon1)*math.cos(lat2),
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math.cos(lat1)*math.sin(lat2)-math.sin(lat1)*math.cos(lat2)*math.cos(lon2-lon1))
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tc1 = tc1 % (2*pi)
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bearing = math.degrees(tc1)
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return [distance,bearing]
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def isbreakthrough(delta,cpvalues,p0,p1,p2,p3,ratio):
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pwr = abs(p0)/(1+(delta/abs(p2)))
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pwr += abs(p1)/(1+(delta/abs(p3)))
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dd = 0.25*(ratio-1)
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pwr2 = pwr*(1+dd)
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pwr *= ratio
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delta = delta.values.astype(int)
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cpvalues = cpvalues.values.astype(int)
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pwr = pwr.astype(int)
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res = np.sum(cpvalues>pwr)
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res2 = np.sum(cpvalues>pwr2)
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btdf = pd.DataFrame(
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{
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'delta':delta[cpvalues>pwr],
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'cpvalues':cpvalues[cpvalues>pwr],
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'pwr':pwr[cpvalues>pwr],
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}
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)
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btdf.sort_values('delta',axis=0,inplace=True)
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return res>=1,btdf,res2>=1
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def myqueue(queue,function,*args,**kwargs):
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class MockJob:
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def __init__(self,*args, **kwargs):
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self.result = 1
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self.id = 1
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def revoke(self): # pragma: no cover
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return 1
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if settings.TESTING:
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return MockJob()
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elif settings.CELERY: # pragma: no cover
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kwargs['debug'] = True
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job = function.delay(*args,**kwargs)
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else: # pragma: no cover
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if settings.DEBUG:
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kwargs['debug'] = True
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job_id = str(uuid.uuid4())
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kwargs['job_id'] = job_id
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kwargs['jobkey'] = job_id
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kwargs['timeout'] = 3600
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job = queue.enqueue(function,*args,**kwargs)
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return job # pragma: no cover
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from datetime import date
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def calculate_age(born,today=None):
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if not today:
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today = timezone.now()
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if born:
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try:
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return today.year - born.year - ((today.month, today.day) < (born.month, born.day))
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except AttributeError:
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return None
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else:
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return None
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def my_dict_from_instance(instance,model):
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thedict = {}
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thedict['id'] = instance.id
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for f in instance._meta.fields:
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fname = f.name
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try:
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verbosename = f.verbose_name
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except: # pragma: no cover
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verbosename = f.name
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get_choice = 'get_'+fname+'_display'
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if hasattr( instance, get_choice):
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value = getattr(instance, get_choice)()
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else:
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try:
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value = getattr(instance,fname)
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except AttributeError: # pragma: no cover
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value = None
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if f.editable and value:
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thedict[fname] = (verbosename,value)
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return thedict
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def wavg(group, avg_name, weight_name):
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""" http://stackoverflow.com/questions/10951341/pandas-dataframe-aggregate-function-using-multiple-columns
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In rare instance, we may not have weights, so just return the mean. Customize this if your business case
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should return otherwise.
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"""
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try:
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d = group[avg_name]
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except KeyError:
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return 0
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try:
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w = group[weight_name]
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except KeyError:
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return d.mean()
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try:
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return (d * w).sum() / w.sum()
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except ZeroDivisionError: # pragma: no cover
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return d.mean()
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def totaltime_sec_to_string(totaltime,shorten=False):
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if np.isnan(totaltime):
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return ''
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hours = int(totaltime / 3600.)
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if hours > 23: # pragma: no cover
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message = 'Warning: The workout duration was longer than 23 hours. '
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hours = 23
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minutes = int((totaltime - 3600. * hours) / 60.)
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if minutes > 59: # pragma: no cover
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minutes = 59
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if not message: # pragma: no cover
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message = 'Warning: there is something wrong with the workout duration'
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seconds = int(totaltime - 3600. * hours - 60. * minutes)
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if seconds > 59: # pragma: no cover
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seconds = 59
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if not message: # pragma: no cover
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message = 'Warning: there is something wrong with the workout duration'
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tenths = int(10 * (totaltime - 3600. * hours - 60. * minutes - seconds))
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if tenths > 9: # pragma: no cover
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tenths = 9
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if not message: # pragma: no cover
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message = 'Warning: there is something wrong with the workout duration'
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duration = ""
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if not shorten:
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duration = "{hours:02d}:{minutes:02d}:{seconds:02d}.{tenths}".format(
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hours=hours,
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minutes=minutes,
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seconds=seconds,
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tenths=tenths
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)
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else:
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if hours != 0: # pragma: no cover
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duration = "{hours}:{minutes:02d}:{seconds:02d}".format(
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hours=hours,
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minutes=minutes,
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seconds=seconds,
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tenths=tenths
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)
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else:
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duration = "{minutes}:{seconds:02d}".format(
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hours=hours,
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minutes=minutes,
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seconds=seconds,
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tenths=tenths
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)
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return duration
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def iscoach(m,r): # pragma: no cover
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result = False
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result = m in r.coaches
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return result
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|
|
# Exponentially weighted moving average
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# Used for data smoothing of the jagged data obtained by Strava
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# See bitbucket issue 72
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|
def ewmovingaverage(interval,window_size):
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# Experimental code using Exponential Weighted moving average
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try:
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intervaldf = pd.DataFrame({'v':interval})
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idf_ewma1 = intervaldf.ewm(span=window_size)
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idf_ewma2 = intervaldf[::-1].ewm(span=window_size)
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i_ewma1 = idf_ewma1.mean().loc[:,'v']
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i_ewma2 = idf_ewma2.mean().loc[:,'v']
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interval2 = np.vstack((i_ewma1,i_ewma2[::-1]))
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interval2 = np.mean( interval2, axis=0) # average
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|
except ValueError: # pragma: no cover
|
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interval2 = interval
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|
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return interval2
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|
|
# Exceptions
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|
# Custom error class - to raise a NoTokenError
|
|
class NoTokenError(Exception):
|
|
def __init__(self,value):
|
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self.value=value
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def __str__(self): # pragma: no cover
|
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return repr(self.value)
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|
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class ProcessorCustomerError(Exception): # pragma: no cover
|
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def __init__(self, value):
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self.value=value
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|
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def __str__(self):
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return repr(self.value)
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|
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# Custom exception handler, returns a 401 HTTP message
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# with exception details in the json data
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def custom_exception_handler(exc,message):
|
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|
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response = {
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|
"errors": [
|
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{
|
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"code": str(exc),
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"detail": message,
|
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}
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]
|
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}
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|
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res = HttpResponse(message)
|
|
res.status_code = 401
|
|
res.json = json.dumps(response)
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|
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return res
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|
|
|
def get_strava_stream(r,metric,stravaid,series_type='time',fetchresolution='high',authorizationstring=''):
|
|
if r is not None:
|
|
authorizationstring = str('Bearer ' + r.stravatoken)
|
|
headers = {'Authorization': authorizationstring,
|
|
'user-agent': 'sanderroosendaal',
|
|
'Content-Type': 'application/json',
|
|
'resolution': 'medium',}
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|
|
|
if metric == 'power': # pragma: no cover
|
|
metric = 'watts'
|
|
|
|
url = "https://www.strava.com/api/v3/activities/{stravaid}/streams/{metric}?resolution={fetchresolution}&series_type={series_type}".format(
|
|
stravaid=stravaid,
|
|
fetchresolution=fetchresolution,
|
|
series_type=series_type,
|
|
metric=metric
|
|
)
|
|
|
|
|
|
s = requests.get(url,headers=headers)
|
|
|
|
|
|
if metric=='power': # pragma: no cover
|
|
with open('data.txt', 'w') as outfile:
|
|
json.dump(s.json(), outfile)
|
|
|
|
try:
|
|
for data in s.json():
|
|
y = None
|
|
try:
|
|
if data['type'] == metric:
|
|
return np.array(data['data'])
|
|
except TypeError: # pragma: no cover
|
|
return None
|
|
except: # pragma: no cover
|
|
return None
|
|
|
|
return None # pragma: no cover
|
|
|
|
def allmonths(startdate,enddate):
|
|
d = startdate
|
|
while d<enddate:
|
|
yield d
|
|
d = datetime.date(d.year+(d.month // 12),((d.month % 12) + 1),1)
|
|
|
|
def allsundays(startdate,enddate):
|
|
d = startdate
|
|
d += datetime.timedelta(days = 6 - d.weekday()) # first Sunday
|
|
while d<=enddate:
|
|
yield d
|
|
d += datetime.timedelta(days=7)
|
|
|
|
def steps_read_fit(filename,name='',sport='Custom'):
|
|
authorizationstring = 'Bearer '+settings.WORKOUTS_FIT_TOKEN
|
|
url = settings.WORKOUTS_FIT_URL+"/tojson"
|
|
headers = {'Authorization':authorizationstring}
|
|
|
|
response = requests.post(url=url,headers=headers,json={'filename':filename})
|
|
|
|
if response.status_code != 200: # pragma: no cover
|
|
return None
|
|
|
|
w = response.json()
|
|
try:
|
|
d = w['workout']
|
|
except KeyError: # pragma: no cover
|
|
return None
|
|
|
|
return d
|
|
|
|
def steps_write_fit(steps):
|
|
authorizationstring = 'Bearer '+settings.WORKOUTS_FIT_TOKEN
|
|
url = settings.WORKOUTS_FIT_URL+"/tofit"
|
|
headers = {'Authorization':authorizationstring}
|
|
|
|
response = requests.post(url=url,headers=headers,json=steps)
|
|
|
|
if response.status_code != 200: # pragma: no cover
|
|
return None
|
|
|
|
w = response.json()
|
|
try:
|
|
filename = w['filename']
|
|
except KeyError: # pragma: no cover
|
|
return None
|
|
|
|
return filename
|
|
|
|
def step_to_time_dist(step,avgspeed = 3.2,ftp=200,ftspm=25,ftv=3.7):
|
|
seconds = 0
|
|
distance = 0
|
|
rscore = 0
|
|
durationtype = step.get('durationType',0)
|
|
value = step.get('durationValue',0)
|
|
|
|
if value == 0: # pragma: no cover
|
|
return 0,0,0
|
|
|
|
targettype = step.get('targetType',0)
|
|
|
|
if durationtype == 'Time':
|
|
seconds = value/1000.
|
|
distance = avgspeed*seconds
|
|
rscore = 60.*seconds/3600.
|
|
|
|
if targettype == 'Speed':
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
velomid = 0.
|
|
if value != 0: # pragma: no cover
|
|
distance = seconds*value/1000.
|
|
velomid = value/1000.
|
|
elif valuelow != 0 and valuehigh != 0: # pragma: no cover
|
|
distance = seconds*(valuelow+valuehigh)/2.
|
|
velomid = (valuelow+valuehigh)/2000.
|
|
else:
|
|
velomid = avgspeed
|
|
|
|
veloratio = (velomid/ftv)**(3.0)
|
|
rscoreperhour = 100.*veloratio
|
|
rscore = rscoreperhour*seconds/3600.
|
|
|
|
if targettype == 'Power':
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value != 0:
|
|
if value < 10 and value > 0: # pragma: no cover
|
|
targetpower = ftp*0.6
|
|
elif value > 10 and value < 1000: # pragma: no cover
|
|
targetpower = value*ftp/100.
|
|
elif value > 1000:
|
|
targetpower = value-1000
|
|
avgspeed = ftv*(targetpower/ftp)**(1./3.)
|
|
distance = avgspeed*seconds
|
|
avgpower = targetpower
|
|
if valuelow != 0 and valuehigh != 0: # pragma: no cover
|
|
avgpower = (valuelow+valuehigh)/2.
|
|
avgspeed = ftv*(avgspeed/ftv)**(1./3.)
|
|
distance = avgspeed*seconds
|
|
|
|
rscore = 100.*(avgpower/ftp)*seconds/3600.
|
|
|
|
if targettype == 'Cadence':
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value != 0:
|
|
avgpower = ftp*value/ftspm
|
|
if valuelow != 0 and valuehigh != 0: # pragma: no cover
|
|
avgspm = (valuelow+valuehigh)/2.
|
|
avgpower = ftp*avgspm/ftspm
|
|
|
|
rscore = 100*(avgpower/ftp)*seconds/3600.
|
|
|
|
return seconds,distance,rscore
|
|
elif durationtype == 'Distance':
|
|
distance = value/100.
|
|
seconds = distance/avgspeed
|
|
rscore = 60.*float(seconds)/3600.
|
|
|
|
if targettype == 'Speed': # pragma: no cover
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
velomid = 0
|
|
|
|
if value != 0:
|
|
seconds = distance/value
|
|
velomid = value/1000.
|
|
elif valuelow != 0 and valuehigh != 0:
|
|
velomid = (valuelow+valuehigh)/2000.
|
|
seconds = distance/velomid
|
|
|
|
veloratio = (velomid/ftv)**(3.0)
|
|
rscoreperhour = 100.*veloratio
|
|
rscore = rscoreperhour*seconds/3600.
|
|
|
|
if targettype == 'Power': # pragma: no cover
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value != 0:
|
|
if value < 10 and value > 0:
|
|
targetpower = ftp*0.6
|
|
elif value > 10 and value < 1000:
|
|
targetpower = value*ftp/100.
|
|
elif value > 1000:
|
|
targetpower = value-1000
|
|
avgspeed = ftv*(targetpower/ftp)**(1./3.)
|
|
seconds = distance/avgspeed
|
|
avgpower = targetpower
|
|
if valuelow != 0 and valuehigh != 0:
|
|
avgpower = (valuelow+valuehigh)/2.
|
|
avgspeed = ftv*(avgspeed/ftv)**(1./3.)
|
|
seconds = distance/avgspeed
|
|
|
|
rscore = 100.*(avgpower/ftp)*seconds/3600.
|
|
|
|
if targettype == 'Cadence': # pragma: no cover
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value != 0:
|
|
avgpower = ftp*value/ftspm
|
|
if valuelow != 0 and valuehigh != 0:
|
|
avgspm = (valuelow+valuehigh)/2.
|
|
avgpower = ftp*avgspm/ftspm
|
|
|
|
rscore = 100*(avgpower/ftp)*seconds/3600.
|
|
|
|
return seconds, distance, rscore
|
|
elif durationtype in ['PowerLessThan','PowerGreaterThan','HrLessThan','HrGreaterThan']: # pragma: no cover
|
|
seconds = 600
|
|
distance = seconds*avgspeed
|
|
veloratio = (avgspeed/ftv)**(3.0)
|
|
rscoreperhour = 100.*veloratio
|
|
rscore = rscoreperhour*seconds/3600.
|
|
|
|
return seconds,distance,rscore
|
|
|
|
return seconds,distance, rscore
|
|
|
|
def get_step_type(step): # pragma: no cover
|
|
t = 'WorkoutStep'
|
|
|
|
if step['durationType'] in ['RepeatUntilStepsCmplt','RepeatUntilHrLessThan','RepeatUntilHrGreaterThan']:
|
|
t = 'WorkoutRepeatStep'
|
|
|
|
return t
|
|
|
|
def peel(l):
|
|
if len(l)==0: # pragma: no cover
|
|
return None,None
|
|
if len(l)==1:
|
|
return l[0],None
|
|
|
|
first = l[0]
|
|
rest = l[1:]
|
|
|
|
if first['type'] == 'Step': # pragma: no cover
|
|
return first, rest
|
|
# repeatstep
|
|
theID = -1
|
|
lijst = []
|
|
while theID != first['repeatID']:
|
|
f, rest = peel(rest)
|
|
lijst.append(f)
|
|
theID = f['stepID']
|
|
first['steps'] = list(reversed(lijst))
|
|
|
|
return first,rest
|
|
|
|
|
|
def ps_dict_order_dict(d,short=False):
|
|
steps = d['steps']
|
|
sdicts = []
|
|
for step in steps:
|
|
sstring, type, stepID, repeatID, repeatValue = step_to_string(step,short=short)
|
|
seconds, meters,rscore = step_to_time_dist(step)
|
|
|
|
sdict = {
|
|
'type':type,
|
|
'stepID': stepID,
|
|
'repeatID': repeatID,
|
|
'repeatValue': repeatValue,
|
|
'dict': step,
|
|
}
|
|
sdicts.append(sdict)
|
|
|
|
sdict2 = list(reversed(sdicts))
|
|
|
|
return sdict2
|
|
|
|
def ps_dict_order(d,short=False,rower=None,html=True):
|
|
sdict = collections.OrderedDict({})
|
|
steps = d['steps']
|
|
|
|
ftp = 200
|
|
if rower is not None:
|
|
ftp = rower.ftp
|
|
# ftv = rower.ftv
|
|
# ftspm = rower.ftspm
|
|
|
|
for step in steps:
|
|
sstring, type, stepID, repeatID, repeatValue = step_to_string(step,short=short)
|
|
seconds, meters,rscore = step_to_time_dist(step,ftp=ftp)
|
|
|
|
sdict[stepID] = {
|
|
'string':sstring,
|
|
'type':type,
|
|
'stepID': stepID,
|
|
'repeatID': repeatID,
|
|
'repeatValue': repeatValue,
|
|
'seconds': seconds,
|
|
'meters': meters,
|
|
'rscore': rscore,
|
|
}
|
|
|
|
|
|
sdict2 = collections.OrderedDict(reversed(list(sdict.items())))
|
|
|
|
for step in steps:
|
|
sstring, type, stepID, repeatID, repeatValue = step_to_string(step,short=short)
|
|
seconds, meters, rscore = step_to_time_dist(step)
|
|
|
|
sdict[stepID] = {
|
|
'string':sstring,
|
|
'type':type,
|
|
'stepID': stepID,
|
|
'repeatID': repeatID,
|
|
'repeatValue': repeatValue,
|
|
'seconds': seconds,
|
|
'meters': meters,
|
|
'rscore': rscore,
|
|
}
|
|
|
|
sdict2 = collections.OrderedDict(reversed(list(sdict.items())))
|
|
|
|
sdict3 = []
|
|
hold = []
|
|
multiplier = []
|
|
holduntil = []
|
|
spaces = ''
|
|
totalmeters = 0
|
|
totalseconds = 0
|
|
totalrscore = 0
|
|
factor = 1
|
|
|
|
for key, item in sdict2.items():
|
|
if item['type'] == 'RepeatStep':
|
|
hold.append(item)
|
|
holduntil.append(item['repeatID'])
|
|
multiplier.append(item['repeatValue'])
|
|
factor *= item['repeatValue']
|
|
if html:
|
|
spaces += ' '
|
|
else:
|
|
spaces += ' '
|
|
if item['type'] == 'Step':
|
|
item['string'] = spaces+item['string']
|
|
sdict3.append(item)
|
|
totalmeters += factor*item['meters']
|
|
totalseconds += factor*item['seconds']
|
|
totalrscore += factor*item['rscore']
|
|
if len(holduntil)>0 and item['stepID'] <= holduntil[-1]:
|
|
if item['stepID'] == holduntil[-1]:
|
|
sdict3.append(hold.pop())
|
|
factor /= multiplier.pop()
|
|
if html:
|
|
spaces = spaces[:-18]
|
|
else:
|
|
spaces = spaces[:-3]
|
|
holduntil.pop()
|
|
else: # pragma: no cover
|
|
prevstep = sdict3.pop()
|
|
prevstep['string'] = prevstep['string'][18:]
|
|
prevprevstep = sdict3.pop()
|
|
prevprevstep['string'] = spaces+prevprevstep['string']
|
|
sdict3.append(prevprevstep)
|
|
curstep = hold.pop()
|
|
curstep['string'] = curstep['string']
|
|
sdict3.append(curstep)
|
|
factor /= multiplier.pop()
|
|
sdict3.append(prevstep)
|
|
holduntil.pop()
|
|
if html:
|
|
spaces = spaces[:-18]
|
|
else:
|
|
spaces = spaces[:-3]
|
|
|
|
sdict = list(reversed(sdict3))
|
|
|
|
return sdict,totalmeters,totalseconds,totalrscore
|
|
|
|
def step_to_string(step,short=False):
|
|
type = 'Step'
|
|
repeatID = -1
|
|
repeatValue = 1
|
|
|
|
nr = 0
|
|
name = ''
|
|
intensity = ''
|
|
duration = ''
|
|
unit = ''
|
|
target = ''
|
|
repeat = ''
|
|
notes = ''
|
|
|
|
durationtype = step['durationType']
|
|
if step['durationValue'] == 0:
|
|
if durationtype not in ['RepeatUntilStepsCmplt','RepeatUntilHrLessThan','RepeatUntilHrGreaterThan']: # pragma: no cover
|
|
return '',type, -1, -1,1
|
|
|
|
if durationtype == 'Time':
|
|
unit = 'min'
|
|
value = step['durationValue']
|
|
if value/1000. >= 3600: # pragma: no cover
|
|
unit = 'h'
|
|
dd = timedelta(seconds=value/1000.)
|
|
#duration = humanize.naturaldelta(dd, minimum_unit="seconds")
|
|
duration = '{v}'.format(v=str(dd))
|
|
elif durationtype == 'Distance':
|
|
unit = 'm'
|
|
value = step['durationValue']/100.
|
|
duration = int(value)
|
|
elif durationtype == 'HrLessThan': # pragma: no cover
|
|
value = step['durationValue']
|
|
if value <= 100:
|
|
duration = 'until heart rate lower than {v}% of max'.format(v=value)
|
|
if short:
|
|
duration = 'until HR<{v}% of max'.format(v=value)
|
|
else:
|
|
duration = 'until heart rate lower than {v}'.format(v=value-100)
|
|
if short:
|
|
duration = 'until HR<{v}'.format(v=value-100)
|
|
elif durationtype == 'HrGreaterThan': # pragma: no cover
|
|
value = step['durationValue']
|
|
if value <= 100:
|
|
duration = 'until heart rate greater than {v}% of max'.format(v=value)
|
|
if short:
|
|
duration = 'until R>{v}% of max'.format(v=value)
|
|
else:
|
|
duration = 'until heart rate greater than {v}'.format(v=value-100)
|
|
if short:
|
|
duration = 'until HR>{v}'.format(v=value/100)
|
|
elif durationtype == 'PowerLessThan': # pragma: no cover
|
|
value = step['durationValue']
|
|
targetvalue = step.get('targetValue',0)
|
|
if value <= 1000:
|
|
duration = 'Repeat until Power is less than {targetvalue} % of FTP'.format(
|
|
targetvalue=targetvalue
|
|
)
|
|
if short:
|
|
'until < {targetvalue}% of FTP'.format(targetvalue=targetvalue)
|
|
else:
|
|
duration = 'Repeat until Power is less than {targetvalue} Watt'.format(
|
|
targetvalue=targetvalue-1000
|
|
)
|
|
if short:
|
|
'until < {targetvalue} W'.format(targetvalue=targetvalue-1000)
|
|
elif durationtype == 'PowerGreaterThan': # pragma: no cover
|
|
value = step['durationValue']
|
|
targetvalue = step.get('targetValue',0)
|
|
if value <= 1000:
|
|
duration = 'Repeat until Power is greater than {targetvalue} % of FTP'.format(
|
|
targetvalue=targetvalue
|
|
)
|
|
if short:
|
|
duration = 'until > {targetvalue}% of FTP'.format(targetvalue=targetvalue)
|
|
else:
|
|
duration = 'Repeat until Power is greater than {targetvalue} Watt'.format(
|
|
targetvalue=targetvalue-1000
|
|
)
|
|
if short:
|
|
duration = 'until > {targetvalue} W'.format(targetvalue=targetvalue)
|
|
elif durationtype == 'RepeatUntilStepsCmplt': # pragma: no cover
|
|
type = 'RepeatStep'
|
|
ntimes = ': {v}x'.format(v=step['targetValue'])
|
|
repeatID = step['durationValue']
|
|
duration =ntimes
|
|
repeatValue = step.get('targetValue',0)
|
|
elif durationtype == 'RepeatUntilHrGreaterThan': # pragma: no cover
|
|
type = 'RepeatStep'
|
|
targetvalue = step.get('targetValue',0)
|
|
if targetvalue <= 100:
|
|
duration = 'Repeat until Heart Rate is greater than {targetvalue} % of max'.format(
|
|
targetvalue=targetvalue
|
|
)
|
|
if short:
|
|
duration = ': until HR>{targetvalue} % of max'.format(targetvalue=targetvalue)
|
|
else:
|
|
duration = 'Repeat until Heart Rate is greater than {targetvalue}:'.format(
|
|
targetvalue=targetvalue-100.
|
|
)
|
|
if short:
|
|
duration = ': untl HR>{targetvalue}'.format(targetvalue=targetvalue-100)
|
|
repeatID = step['durationValue']
|
|
elif durationtype == 'RepeatUntilHrLessThan': # pragma: no cover
|
|
type = 'RepeatStep'
|
|
targetvalue = step.get('targetValue',0)
|
|
if targetvalue <= 100:
|
|
duration = 'Repeat until Heart Rate is less than {targetvalue} % of max'.format(
|
|
targetvalue=targetvalue
|
|
)
|
|
if short:
|
|
duration = ': until HR<{targetvalue}% of max'.format(targetvalue=targetvalue)
|
|
else:
|
|
duration = 'Repeat until Heart Rate is less than {targetvalue}:'.format(
|
|
targetvalue=targetvalue-100.
|
|
)
|
|
if short:
|
|
duration = ': until HR<{targetvalue}'.format(targetvalue=targetvalue-100)
|
|
repeatID = step['durationValue']
|
|
|
|
|
|
#
|
|
|
|
try:
|
|
targettype = step['targetType']
|
|
except KeyError:
|
|
targettype = None
|
|
|
|
if targettype == 'HeartRate': # pragma: no cover
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value < 10 and value>0:
|
|
target = '@ HR zone {v}'.format(v=value)
|
|
else:
|
|
if valuelow < 100:
|
|
target = '@ HR {l} - {h} % of max'.format(
|
|
l = valuelow,
|
|
h = valuehigh,
|
|
)
|
|
else:
|
|
target = '@ HR {l} - {h}'.format(
|
|
l = valuelow - 100,
|
|
h = valuehigh - 100,
|
|
)
|
|
elif targettype == 'Power': # pragma: no cover
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value < 10 and value>0:
|
|
target = '@ Power zone {v}'.format(v=value)
|
|
elif value > 10 and value < 1000:
|
|
target = '@ {v}% of FTP'.format(v=value)
|
|
elif value > 1000:
|
|
target = '@ {v} W'.format(v=value-1000)
|
|
elif valuelow > 0 and valuehigh > 0:
|
|
if valuelow < 1000:
|
|
target = '@ {l} - {h} % of FTP'.format(
|
|
l = valuelow,
|
|
h = valuehigh,
|
|
)
|
|
else:
|
|
target = '@ {l} - {h} W'.format(
|
|
l = valuelow-1000,
|
|
h = valuehigh-1000,
|
|
)
|
|
elif targettype == 'Speed': # pragma: no cover
|
|
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value != 0:
|
|
v = value/1000.
|
|
pace = 500./v
|
|
pacestring = to_pace(pace)
|
|
target = '@ {v} m/s {p}, per 500m'.format(
|
|
v=value/1000.,
|
|
p=pacestring)
|
|
if short: # pragma: no cover
|
|
target = '@ {p}'.format(p=pacestring)
|
|
elif valuelow != 0 and valuehigh != 0: # pragma: no cover
|
|
v = valuelow/1000.
|
|
pace = 500./v
|
|
pacestringlow = to_pace(pace)
|
|
|
|
v = valuehigh/1000.
|
|
pace = 500./v
|
|
pacestringhigh = to_pace(pace)
|
|
|
|
target = '@ {l:1.2f} and {h:1.2f} m/s, ({ph} to {pl} per 500m)'.format(
|
|
l = valuelow/1000.,
|
|
h = valuehigh/1000.,
|
|
pl = pacestringlow,
|
|
ph = pacestringhigh,
|
|
)
|
|
if short:
|
|
target = '@ {pl} - {ph}'.format(
|
|
pl = pacestringlow,
|
|
ph = pacestringhigh,
|
|
)
|
|
elif targettype == 'Cadence': # pragma: no cover
|
|
value = step.get('targetValue',0)
|
|
valuelow = step.get('targetValueLow',0)
|
|
valuehigh = step.get('targetValueHigh',0)
|
|
|
|
if value != 0:
|
|
target = '@ {v} SPM'.format(v=value)
|
|
elif valuelow != 0 and valuehigh != 0:
|
|
target = '@ {l} - {h} SPM'.format(
|
|
l = valuelow,
|
|
h = valuehigh
|
|
)
|
|
|
|
|
|
nr = step['stepId']
|
|
|
|
name = step['wkt_step_name']
|
|
|
|
notes = ''
|
|
try:
|
|
if len(step['description']): # pragma: no cover
|
|
notes = ' - '+step['description']
|
|
except KeyError:
|
|
notes = ''
|
|
|
|
try:
|
|
intensity = step['intensity']
|
|
except KeyError:
|
|
intensity = 0
|
|
|
|
s = '{duration} {unit} {target} {repeat} {notes}'.format(
|
|
nr = nr,
|
|
name = name,
|
|
unit=unit,
|
|
intensity = intensity,
|
|
duration = duration,
|
|
target=target,
|
|
repeat = repeat,
|
|
notes=notes,
|
|
)
|
|
|
|
if short:
|
|
s = '{duration} {unit} {target} {repeat}'.format(
|
|
duration = duration,
|
|
target = target,
|
|
repeat = repeat,
|
|
unit = unit,
|
|
)
|
|
|
|
if short and intensity in ['Warmup','Cooldown','Rest']:
|
|
s = '{intensity} {duration} {unit} {target} {repeat}'.format(
|
|
intensity = intensity,
|
|
duration = duration,
|
|
target = target,
|
|
repeat = repeat,
|
|
unit = unit
|
|
)
|
|
elif intensity in ['Warmup','Cooldown','Rest']:
|
|
s = '{intensity} {duration} {unit} {target} {repeat} {notes}'.format(
|
|
intensity = intensity,
|
|
duration = duration,
|
|
target = target,
|
|
repeat = repeat,
|
|
unit = unit,
|
|
notes = notes,
|
|
)
|
|
|
|
if type == 'RepeatStep':
|
|
s = 'Repeat {duration}'.format(duration=duration)
|
|
|
|
return s,type, nr, repeatID, repeatValue
|
|
|
|
def strfdelta(tdelta): # pragma: no cover
|
|
try:
|
|
minutes, seconds = divmod(tdelta.seconds, 60)
|
|
tenths = int(tdelta.microseconds / 1e5)
|
|
except AttributeError:
|
|
minutes, seconds = divmod(tdelta.view(np.int64), 60e9)
|
|
seconds, rest = divmod(seconds, 1e9)
|
|
tenths = int(rest / 1e8)
|
|
res = "{minutes:0>2}:{seconds:0>2}.{tenths:0>1}".format(
|
|
minutes=minutes,
|
|
seconds=seconds,
|
|
tenths=tenths,
|
|
)
|
|
|
|
return res
|
|
|
|
def request_is_ajax(request):
|
|
is_ajax = request.META.get('HTTP_X_REQUESTED_WITH') == 'XMLHttpRequest'
|
|
#if settings.TESTING:
|
|
# is_ajax = True
|
|
|
|
return is_ajax
|
|
|
|
def intervals_to_string(vals, units, typ):
|
|
if vals is None or units is None or typ is None: # pragma: no cover
|
|
return ''
|
|
if len(vals) != len(units) or len(vals) != len(typ): # pragma: no cover
|
|
return ''
|
|
|
|
s = ''
|
|
previous = 'rest'
|
|
for i in range(len(vals)):
|
|
if typ[i] == 'rest' and previous == 'rest':
|
|
if units[i] == 'min': # pragma: no cover
|
|
val = int(vals[i])*60
|
|
unit = 'sec'
|
|
else:
|
|
val = int(vals[i])
|
|
if units[i] == 'meters': # pragma: no cover
|
|
unit = 'm'
|
|
if units[i] == 'seconds':
|
|
unit = 'sec'
|
|
s += '+0min/{val}{unit}'.format(val=val,unit=unit)
|
|
elif typ[i] == 'rest': # pragma: no cover
|
|
if units[i] == 'min':
|
|
val = int(vals[i])*60
|
|
unit = 'sec'
|
|
else:
|
|
val = int(vals[i])
|
|
if units[i] == 'meters':
|
|
unit = 'm'
|
|
if units[i] == 'seconds':
|
|
unit = 'sec'
|
|
s += '/{val}{unit}'.format(val=val,unit=unit)
|
|
previous = 'rest'
|
|
else: # pragma: no cover # work interval
|
|
if units[i] == 'min':
|
|
val = int(vals[i])*60
|
|
unit = 'sec'
|
|
else:
|
|
val = int(vals[i])
|
|
if units[i] == 'meters':
|
|
unit = 'm'
|
|
if units[i] == 'seconds':
|
|
unit = 'sec'
|
|
s += '+{val}{unit}'.format(val=val,unit=unit)
|
|
previous = 'work'
|
|
|
|
if s[0] == '+':
|
|
s = s[1:]
|
|
|
|
return s
|
|
|
|
def get_timezone_from_c2data(data):
|
|
|
|
try:
|
|
timezone = pytz.timezone(data['timezone'])
|
|
except UnknownTimeZoneError:
|
|
timezone = pytz.utc
|
|
except KeyError: # pragma: no cover
|
|
timezone = pytz.utc
|
|
|
|
return timezone
|
|
|
|
|
|
def get_startdatetime_from_c2data(data):
|
|
timezone = get_timezone_from_c2data(data)
|
|
try:
|
|
startdatetime = iso8601.parse_date(data['date_utc'])
|
|
except: # pragma: no cover
|
|
startdatetime = iso8601.parse_date(data['date'])
|
|
|
|
totaltime = data['time']/10.
|
|
try:
|
|
rest_time = data['rest_time']/10.
|
|
except KeyError:
|
|
rest_time = 0
|
|
totaltime = totaltime+rest_time
|
|
|
|
duration = totaltime_sec_to_string(totaltime)
|
|
starttimeunix = arrow.get(startdatetime).timestamp()-totaltime
|
|
startdatetime = arrow.get(starttimeunix)
|
|
startdatetime = startdatetime.astimezone(timezone)
|
|
|
|
workoutdate = startdatetime.astimezone(
|
|
timezone
|
|
).strftime('%Y-%m-%d')
|
|
starttime = startdatetime.astimezone(
|
|
timezone
|
|
).strftime('%H:%M:%S')
|
|
|
|
return startdatetime,starttime,workoutdate,duration,starttimeunix,timezone
|