Merge branch 'release/v10.42'

rowers/c2stuff.py

@@ -467,7 +467,7 @@ def createc2workoutdata_as_splits(w):
 def createc2workoutdata(w):
     filename = w.csvfilename
     try:
-        row = rowingdata(filename)
+        row = rowingdata(csvfile=filename)
     except IOError:
         return 0
 
@@ -478,6 +478,32 @@ def createc2workoutdata(w):
         averagehr = 0
         maxhr = 0
 
+    # Calculate intervalstats
+    itime, idist, itype = row.intervalstats_values()
+    lapnames = row.df[' lapIdx'].unique()
+    nrintervals = len(itime)
+    if len(lapnames != nrintervals):
+        newlapnames = []
+        for name in lapnames:
+            newlapnames += [name,name]
+        lapnames = newlapnames
+    intervaldata = []
+    for i in range(nrintervals):
+        if itime[i]>0:
+            mask = (row.df[' lapIdx'] == lapnames[i]) & (row.df[' WorkoutState'] == itype[i])
+            spmav = int(row.df[' Cadence (stokes/min)'][mask].mean().astype(int))
+            hrav = int(row.df[' HRCur (bpm)'][mask].mean().astype(int))
+            intervaldict = {
+            'type': 'distance',
+            'time': int(10*itime[i]),
+            'distance': int(idist[i]),
+            'heart_rate': {
+               'average':hrav,
+                          },
+            'stroke_rate': spmav,
+            }
+            intervaldata.append(intervaldict)
+
     # adding diff, trying to see if this is valid
     t = 10*row.df.loc[:,'TimeStamp (sec)'].values-10*row.df.loc[:,'TimeStamp (sec)'].iloc[0]
     try:
@@ -542,19 +568,24 @@ def createc2workoutdata(w):
     data = {
         "type": mytypes.c2mapping[workouttype],
         "date": w.startdatetime.isoformat(),
+        "stroke_count": int(row.stroke_count),
         "timezone": w.timezone,
         "distance": int(w.distance),
         "time": int(10*makeseconds(durationstr)),
         "weight_class": c2wc(w.weightcategory),
         "comments": w.notes,
+        'stroke_rate': int(row.df[' Cadence (stokes/min)'].mean()),
+        'drag_factor': int(row.dragfactor),
         "heart_rate": {
             "average": averagehr,
             "max": maxhr,
             },
         "stroke_data": stroke_data,
+        'workout': {
+            'splits': intervaldata,
+            }
         }
 
-
     return data
 
 # Refresh Concept2 authorization token

rowers/dataprepnodjango.py

@@ -708,7 +708,7 @@ def testdata(time,distance,pace,spm):
 
 
 def getsmallrowdata_db(columns,ids=[],debug=False):
-    csvfilenames = ['media/strokedata_{id}.parquet'.format(id=id) for id in ids]
+    csvfilenames = ['media/strokedata_{id}.parquet.gz'.format(id=id) for id in ids]
     data = []
     columns = [c for c in columns if c != 'None']