automating the stats

rowers/models.py

@@ -280,6 +280,7 @@ class Workout(models.Model):
 	('slides','Indoor Rower on Slides'),
 	('paddle','Paddle Adapter'),
 	('snow','On-snow'),
+        ('other','Other'),
 	)
 
     boattypes = (

rowers/templates/workoutstats.html

@@ -6,7 +6,7 @@
 
 {% block content %}
 <div class="grid_12 alpha">
-  <h1>Workout Statistics</h1>
+  <h1>Workout Statistics for {{ workout.name }}</h1>
   <div class="grid_2 alpha">
     <p>
       <a class="button gray small" href="/rowers/workout/{{ workout.id }}/edit">Edit Workout</a>
@@ -38,7 +38,9 @@
   </div>
 </div>
 <div class="grid_6 alpha">
-  <h2>Stroke Rate</h2>
+{% if stats %}
+{% for key, value in stats.items %}
+  <h2>{{ key }}</h2>
   <table width="100%" class="listtable">
     <thead>
       <tr>
@@ -48,80 +50,24 @@
     </thead>
     <tbody>
       <tr>
-        <td>Mean</td><td>{{ stats.spm.mean|floatformat:-2 }}</td>
+        <td>Mean</td><td>{{ value.mean|floatformat:-2 }}</td>
       </tr><tr>
-        <td>Minimum</td><td>{{ stats.spm.min|floatformat:-2 }}</td>
+        <td>Minimum</td><td>{{ value.min|floatformat:-2 }}</td>
       </tr><tr>
-        <td>25&#37;</td><td>{{ stats.spm.firstq|floatformat:-2 }}</td>
+        <td>25&#37;</td><td>{{ value.firstq|floatformat:-2 }}</td>
       </tr><tr>
-        <td>Median</td><td>{{ stats.spm.median|floatformat:-2 }}</td>
+        <td>Median</td><td>{{ value.median|floatformat:-2 }}</td>
       </tr><tr>
-        <td>75&#37;</td><td>{{ stats.spm.thirdq|floatformat:-2 }}</td>
+        <td>75&#37;</td><td>{{ value.thirdq|floatformat:-2 }}</td>
       </tr><tr>
-        <td>Maximum</td><td>{{ stats.spm.max|floatformat:-2 }}</td>
+        <td>Maximum</td><td>{{ value.max|floatformat:-2 }}</td>
       </tr><tr>
-        <td>Standard Deviation</td><td>{{ stats.spm.std|floatformat:-2 }}</td>
+        <td>Standard Deviation</td><td>{{ value.std|floatformat:-2 }}</td>
       </tr>
     </tbody>
-  </table>
+  </table>  
-</div>
+{% endfor %}
-<div class="grid_6 alpha">
+{% endif %}
-  <h2>Heart Rate</h2>
-  <table width="100%" class="listtable">
-    <thead>
-      <tr>
-        <th>Metric</th>
-        <th>Value</th>
-      </tr>
-    </thead>
-    <tbody>
-      <tr>
-        <td>Mean</td><td>{{ stats.hr.mean|floatformat:-2 }}</td>
-      </tr><tr>
-        <td>Minimum</td><td>{{ stats.hr.min|floatformat:-2 }}</td>
-      </tr><tr>
-        <td>25&#37;</td><td>{{ stats.hr.firstq|floatformat:-2 }}</td>
-      </tr><tr>
-        <td>Median</td><td>{{ stats.hr.median|floatformat:-2 }}</td>
-      </tr><tr>
-        <td>75&#37;</td><td>{{ stats.hr.thirdq|floatformat:-2 }}</td>
-      </tr><tr>
-        <td>Maximum</td><td>{{ stats.hr.max|floatformat:-2 }}</td>
-      </tr><tr>
-        <td>Standard Deviation</td><td>{{ stats.hr.std|floatformat:-2 }}</td>
-      </tr>
-    </tbody>
-  </table>
-</div>
-<div class="grid_6 omega">
-  <div class="grid_6 alpha">
-    <h2>Power</h2>
-    <table width="100%" class="listtable">
-      <thead>
-        <tr>
-          <th>Metric</th>
-          <th>Value</th>
-        </tr>
-      </thead>
-      <tbody>
-        <tr>
-          <td>Mean</td><td>{{ stats.power.mean|floatformat:-2 }}</td>
-        </tr><tr>
-          <td>Minimum</td><td>{{ stats.power.min|floatformat:-2 }}</td>
-        </tr><tr>
-          <td>25&#37;</td><td>{{ stats.power.firstq|floatformat:-2 }}</td>
-        </tr><tr>
-          <td>Median</td><td>{{ stats.power.median|floatformat:-2 }}</td>
-        </tr><tr>
-          <td>75&#37;</td><td>{{ stats.power.thirdq|floatformat:-2 }}</td>
-        </tr><tr>
-          <td>Maximum</td><td>{{ stats.power.max|floatformat:-2 }}</td>
-        </tr><tr>
-          <td>Standard Deviation</td><td>{{ stats.power.std|floatformat:-2 }}</td>
-        </tr>
-      </tbody>
-    </table>
-  </div>
 </div>
 
 {% endblock %}

rowers/views.py

@@ -26,7 +26,7 @@ from rowers.forms import SummaryStringForm,IntervalUpdateForm,StrokeDataForm
 from rowers.models import Workout, User, Rower, WorkoutForm,FavoriteChart
 from rowers.models import (
     RowerPowerForm,RowerForm,GraphImage,AdvancedWorkoutForm,
-    RowerPowerZonesForm,AccountRowerForm,UserForm,
+    RowerPowerZonesForm,AccountRowerForm,UserForm,StrokeData,
     )
 from rowers.models import FavoriteForm,BaseFavoriteFormSet,SiteAnnouncement
 from django.forms.formsets import formset_factory
@@ -2611,15 +2611,15 @@ def workout_stats_view(request,id=0,message="",successmessage=""):
     workstrokesonly = True
     if request.method == 'POST' and 'workstrokesonly' in request.POST:
         workstrokesonly = request.POST['workstrokesonly']
-
+
+
+    # prepare data frame
     datadf,row = dataprep.getrowdata_db(id=id)
     if (checkworkoutuser(request.user,row)==False):
         message = "You are not allowed to see the stats of this workout"
         url = reverse(workouts_view,args=[str(message)])
         return HttpResponseRedirect(url)
-
+
-    columns = ['hr','spm','power','workoutstate']
-    datadf = dataprep.getsmallrowdata_db(columns,ids=[id])
         
     if datadf.empty:
         return HttpResponse("CSV data file not found")
@@ -2634,45 +2634,45 @@ def workout_stats_view(request,id=0,message="",successmessage=""):
         except:
             pass
         workstrokesonly = True
+
     # Create stats
-    stats = {}
-    # SPM
-    spmdict = {
-        'mean':datadf['spm'].mean(),
-        'max': datadf['spm'].max(),
-        'min': datadf['spm'].min(),
-        'std': datadf['spm'].std(),
-        'median': datadf['spm'].median(),
-        'firstq':datadf['spm'].quantile(q=0.25),
-        'thirdq':datadf['spm'].quantile(q=0.75),
     stats = {}
-
+
+    # Get field names and remove those that are not useful in stats
+    fieldnames = StrokeData._meta.get_all_field_names()
+    fieldnames.remove('workoutid')
+    fieldnames.remove('ergpace')
+    fieldnames.remove('hr_an')
+    fieldnames.remove('hr_tr')
+    fieldnames.remove('hr_at')
+    fieldnames.remove('hr_ut2')
+    fieldnames.remove('hr_ut1')
+    fieldnames.remove('time')
+    fieldnames.remove('distance')
+    fieldnames.remove('nowindpace')
+    fieldnames.remove('fnowindpace')
+    fieldnames.remove('fergpace')
+    fieldnames.remove('equivergpower')
+    fieldnames.remove('workoutstate')
+    fieldnames.remove('fpace')
+    fieldnames.remove('id')
+    fieldnames.remove('ftime')
+    fieldnames.remove('x_right')
+    fieldnames.remove('hr_max')
+    fieldnames.remove('hr_bottom')
     fieldnames.remove('cumdist')
-
+
-    # HR
+    for field in fieldnames:
-    hrdict = {
+        thedict = {
-        'mean':datadf['hr'].mean(),
+            'mean':datadf[field].mean(),
-        'max': datadf['hr'].max(),
+            'min': datadf[field].min(),
-        'min': datadf['hr'].min(),
+            'std': datadf[field].std(),
-        'std': datadf['hr'].std(),
+            'max': datadf[field].max(),
-        'median': datadf['hr'].median(),
+            'median': datadf[field].median(),
-        'firstq':datadf['hr'].quantile(q=0.25),
+            'firstq':datadf[field].quantile(q=0.25),
-        'thirdq':datadf['hr'].quantile(q=0.75),
+            'thirdq':datadf[field].quantile(q=0.75),
-    }
+        }
-
+        stats[field] = thedict
-    stats['hr'] = hrdict
-
-    # Power
-    powerdict = {
-        'mean':datadf['power'].mean(),
-        'max': datadf['power'].max(),
-        'min': datadf['power'].min(),
-        'std': datadf['power'].std(),
-        'median': datadf['power'].median(),
-        'firstq':datadf['power'].quantile(q=0.25),
-        'thirdq':datadf['power'].quantile(q=0.75),
-    }
-
     
 
     return render(request,