Merge branch 'feature/history' into develop

rowers/forms.py

@@ -143,6 +143,30 @@ class DisqualificationForm(forms.Form):
 
     message = forms.CharField(required=True,widget=forms.Textarea)
 
+class HistorySelectForm(forms.Form):
+    typeselectchoices = [("All","All")]
+    for wtype,verbose in mytypes.workouttypes_ordered.items():
+        typeselectchoices.append((wtype,verbose))
+    startdate = forms.DateField(
+        initial=timezone.now()-datetime.timedelta(days=15),
+        #                               widget=SelectDateWidget(years=range(1990,2050)),
+        widget=AdminDateWidget(), #format='%Y-%m-%d'),
+        label='Start Date')
+    enddate = forms.DateField(
+        initial=timezone.now(),
+        widget=AdminDateWidget(), #format='%Y-%m-%d'),
+        label='End Date')
+
+    workouttype = forms.ChoiceField(initial='All',choices=typeselectchoices)
+
+    class Meta:
+        fields = ['startdate','enddate']
+        input_formats=("%Y-%m-%d")
+        dateTimeOptions = {
+            'format': '%Y-%m-%d',
+            'autoclose': True,
+            }
+
 class MetricsForm(forms.Form):
     avghr = forms.IntegerField(required=False,label='Average Heart Rate')
     avgpwr = forms.IntegerField(required=False,label='Average Power')

rowers/interactiveplots.py

@@ -169,6 +169,83 @@ def tailwind(bearing,vwind,winddir):
 from rowers.dataprep import nicepaceformat,niceformat
 from rowers.dataprep import timedeltaconv
 
+from math import pi
+
+def interactive_hr_piechart(df,rower,title):
+    if df.empty:
+        return "","Not enough data to make a chart"
+
+    df.sort_values(by='hr',inplace=True)
+    qry = 'hr < {ut2}'.format(ut2=rower.ut2)
+    frac_lut2 = len(df.query(qry))/len(df)
+
+    qry = 'hr < {ut1}'.format(ut1=rower.ut1,ut2=rower.ut2)
+    frac_ut2 = len(df.query(qry))/len(df)
+
+    qry = 'hr < {at}'.format(ut1=rower.ut1,at=rower.at)
+    frac_ut1 = len(df.query(qry))/len(df)
+
+    qry = 'hr < {tr}'.format(at=rower.at,tr=rower.tr)
+    frac_at = len(df.query(qry))/len(df)
+
+    qry = 'hr < {an}'.format(tr=rower.tr,an=rower.an)
+    frac_tr = len(df.query(qry))/len(df)
+
+    frac_an = 1.
+
+    source_starts = 2*pi*pd.Series([
+        0,
+        frac_lut2,
+        frac_ut2,
+        frac_ut1,
+        frac_at,
+        frac_tr,
+        ])
+
+    source_ends = 2*pi*pd.Series([
+        frac_lut2,
+        frac_ut2,
+        frac_ut1,
+        frac_at,
+        frac_tr,
+        frac_an,
+        ])
+
+    source_legends = [
+        '<ut2',
+        'ut2',
+        'ut1',
+        'at',
+        'tr',
+        'an',
+    ]
+
+    colors = ['gray','yellow','lime','blue','purple','red']
+
+
+    size=350
+    TOOLS = 'save'
+
+    z = figure(title="HR "+title, x_range=(-1,1), y_range=(-1,1), width=size, height=size,
+               tools=TOOLS,
+          )
+
+    for start, end , legend, color in zip(source_starts, source_ends, source_legends, colors[0:len(source_starts)]):
+        z.wedge(x=0, y=0, radius=1, start_angle=start, end_angle=end, color=color, legend=legend)
+
+
+
+    z.toolbar_location = 'right'
+    z.legend.location = 'top_right'
+    #z.legend.visible = False
+    z.axis.visible = False
+    z.xgrid.grid_line_color = None
+    z.ygrid.grid_line_color = None
+    z.outline_line_color = None
+
+    return components(z)
+
+
 def interactive_boxchart(datadf,fieldname,extratitle='',
                          spmmin=0,spmmax=0,workmin=0,workmax=0):
 

rowers/templates/history.html

@@ -5,17 +5,93 @@
 {% block title %}Rowsandall {% endblock %}
 
 {% block main %}
+  <h1>History</h1>
 <ul class="main-content">
-  <li class="grid_4">
+  <script async="true" src="https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.js"></script>
-    <h1>Future Functionality</h1>
+  <li class="grid_2">
+    <p>
+    <form enctype="multipart/form-data"  method="post">
+    {% csrf_token %}
+    <table>
+      {{ form.as_table }}
+    </table>
+    <input type="submit" value="Submit">
+    </form>
+    </p>
+    <h2>All workouts</h2>
 
-    <p>Watch this space</p>
+    <p>
+      <table class="listtable shortpadded">
+          <tbody>
+            <tr>
+              <td>Total Distance</td><td>{{ totalsdict|lookup:"distance"}} meters</td>
+            </tr>
+            <tr>
+              <td>Total Duration</td><td>{{ totalsdict|lookup:"duration"}} hours</td>
+            </tr>
+            <tr>
+              <td>Number of workouts</td><td>{{ totalsdict|lookup:"nrworkouts"}}</td>
+            </tr>
+            <tr>
+              <td>Average heart rate</td><td>{{ totalsdict|lookup:"hrmean"}} bpm</td>
+            </tr>
+            <tr>
+              <td>Maximum heart rate</td><td>{{ totalsdict|lookup:"hrmax"}} bpm</td>
+            </tr>
+            <tr>
+              <td>Average power</td><td>{{ totalsdict|lookup:"powermean"}} W</td>
+            </tr>
+            <tr>
+              <td>Maximum power</td><td>{{ totalsdict|lookup:"powermax"}} W</td>
+            </tr>
+          </tbody>
+      </table>
+    </p>
   </li>
+  <li class="grid_2">
+    <div>{{ totalscript|safe }}{{ totaldiv|safe }}</div>
+  </li>
+
+  {% for ddict in typedicts %}
+  <li class="grid_1">
+    <h2>{{ ddict|lookup:"wtype"}}</h2>
+
+    <p>
+      <table class="listtable shortpadded">
+          <tbody>
+            <tr>
+              <td>Total Distance</td><td>{{ ddict|lookup:"distance"}} meters</td>
+            </tr>
+            <tr>
+              <td>Total Duration</td><td>{{ ddict|lookup:"duration"}} hours</td>
+            </tr>
+            <tr>
+              <td>Number of workouts</td><td>{{ ddict|lookup:"nrworkouts"}}</td>
+            </tr>
+            <tr>
+              <td>Average heart rate</td><td>{{ ddict|lookup:"hrmean"}} bpm</td>
+            </tr>
+            <tr>
+              <td>Maximum heart rate</td><td>{{ ddict|lookup:"hrmax"}} bpm</td>
+            </tr>
+            <tr>
+              <td>Average power</td><td>{{ ddict|lookup:"powermean"}} W</td>
+            </tr>
+            <tr>
+              <td>Maximum power</td><td>{{ ddict|lookup:"powermax"}} W</td>
+            </tr>
+          </tbody>
+      </table>
+    </p>
+  </li>
+
+  {% endfor %}
 </ul>
 
 {% endblock %}
 
 
+
 {% block sidebar %}
 {% include 'menu_analytics.html' %}
 {% endblock %}

rowers/templates/menu_analytics.html

@@ -90,6 +90,11 @@
 					<i class="fas fa-bell fa-fw"></i>&nbsp;Alerts
 				</a>
 			</li>
+			<li>
+				<a href="/rowers/history/">
+					<i class="fas fa-history fa-fw"></i>&nbsp;History
+				</a>
+			</li>
 		</ul>
 	</li>
 	<li>

rowers/views/analysisviews.py

@@ -4655,6 +4655,102 @@ class AlertDelete(DeleteView):
 def history_view(request,userid=0):
     r = getrequestrower(request,userid=userid)
 
+    form = HistorySelectForm()
+
+    usertimezone = pytz.timezone(r.defaulttimezone)
+
+    activity_enddate = timezone.now()
+    activity_enddate = activity_enddate.replace(hour=23,minute=59,second=59).astimezone(usertimezone)
+    activity_startdate = activity_enddate-datetime.timedelta(days=15)
+    activity_startdate = activity_startdate.replace(hour=0,minute=0,second=0)
+    typeselect = 'All'
+
+    if request.method=='POST':
+        form = HistorySelectForm(request.POST)
+        if form.is_valid():
+            startdate = form.cleaned_data['startdate']
+            enddate = form.cleaned_data['enddate']
+            typeselect = form.cleaned_data['workouttype']
+            activity_startdate = datetime.datetime(
+                startdate.year,startdate.month,startdate.day
+                ).replace(hour=0,minute=0,second=0).astimezone(usertimezone)
+            activity_enddate = datetime.datetime(
+                enddate.year,enddate.month,enddate.day
+                ).replace(hour=23,minute=59,second=59).astimezone(usertimezone)
+
+
+
+
+
+    g_workouts = Workout.objects.filter(
+        user=r,
+        startdatetime__gte=activity_startdate,
+        startdatetime__lte=activity_enddate,
+        duplicate=False,
+        privacy='visible'
+    ).order_by("-startdatetime")
+
+    ids = [w.id for w in g_workouts]
+
+    columns = ['hr','power']
+
+    df = getsmallrowdata_db(columns,ids=ids)
+
+    totalmeters,totalhours, totalminutes = get_totals(g_workouts)
+
+    # meters, duration per workout type
+    wtypes = list(set([w.workouttype for w in g_workouts]))
+
+    typechoices = [("All","All")]
+    for wtype in wtypes:
+        typechoices.append((wtype,mytypes.workouttypes_ordered[wtype]))
+
+    form.fields['workouttype'].choices = typechoices
+
+    listofdicts = []
+
+    for wtype in wtypes:
+        a_workouts = g_workouts.filter(workouttype=wtype)
+        wmeters, whours, wminutes = get_totals(a_workouts)
+        ddict = {}
+        ddict['wtype'] = mytypes.workouttypes_ordered[wtype]
+        ddict['distance'] = wmeters
+        ddict['duration'] = "{whours}:{wminutes:02d}".format(
+            whours=whours,
+            wminutes=wminutes
+        )
+        ddf = getsmallrowdata_db(columns,ids=[w.id for w in a_workouts])
+        ddict['hrmean'] = ddf['hr'].mean().astype(int)
+        ddict['hrmax'] = ddf['hr'].max().astype(int)
+        ddict['powermean'] = ddf['power'].mean().astype(int)
+        ddict['powermax'] = ddf['power'].max().astype(int)
+        ddict['nrworkouts'] = a_workouts.count()
+        listofdicts.append(ddict)
+
+
+    # interactive hr pie chart
+    if typeselect == 'All':
+        totalscript,totaldiv = interactive_hr_piechart(df,r,'All Workouts')
+    else:
+        a_workouts = g_workouts.filter(workouttype=typeselect)
+        ddf = getsmallrowdata_db(columns,ids=[w.id for w in a_workouts])
+        totalscript, totaldiv = interactive_hr_piechart(ddf,r,mytypes.workouttypes_ordered[typeselect])
+
+    # interactive power pie chart
+
+    totalsdict = {}
+    totalsdict['duration'] = "{totalhours}:{totalminutes}".format(
+        totalhours=totalhours,
+        totalminutes=totalminutes
+    )
+
+    totalsdict['distance'] = totalmeters
+    totalsdict['powermean'] = df['power'].mean().astype(int)
+    totalsdict['powermax'] = df['power'].max().astype(int)
+    totalsdict['hrmean'] = df['hr'].mean().astype(int)
+    totalsdict['hrmax'] = df['hr'].max().astype(int)
+    totalsdict['nrworkouts'] =  g_workouts.count()
+
     breadcrumbs = [
         {
             'url':'rowers/analysis',
@@ -4670,5 +4766,10 @@ def history_view(request,userid=0):
                   {
                       'rower':r,
                       'breadcrumbs':breadcrumbs,
-                      'active':'nav-analysis'
+                      'active':'nav-analysis',
+                      'totalsdict':totalsdict,
+                      'typedicts':listofdicts,
+                      'totalscript':totalscript,
+                      'totaldiv':totaldiv,
+                      'form':form,
                   })

rowers/views/statements.py

@@ -74,7 +74,7 @@ from rowers.forms import (
     MetricsForm,DisqualificationForm,disqualificationreasons,
     disqualifiers,SearchForm,BillingForm,PlanSelectForm,
     VideoAnalysisCreateForm,WorkoutSingleSelectForm,
-    VideoAnalysisMetricsForm,SurveyForm,
+    VideoAnalysisMetricsForm,SurveyForm,HistorySelectForm,
     )
 
 from django.urls import reverse, reverse_lazy

rowers/views/workoutviews.py

@@ -1918,7 +1918,7 @@ def workouts_view(request,message='',successmessage='',
             g_workouts = Workout.objects.filter(
                 team=theteam,user=r,
                 startdatetime__gte=activity_startdate,
-                enddatetime__lte=activity_enddate,
+                startdatetime__lte=activity_enddate,
                 duplicate=False,
                 privacy='visible').order_by("-startdatetime")