From 7ba92cb8fdd35cf8bf19d002dd722414b9154e20 Mon Sep 17 00:00:00 2001
From: Sander Roosendaal <roosendaalsander@gmail.com>
Date: Mon, 12 Nov 2018 22:02:05 +0100
Subject: [PATCH 1/2] changing verdict names

---
 rowers/plannedsessions.py | 40 +++++++++++++++++++--------------------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/rowers/plannedsessions.py b/rowers/plannedsessions.py
index 3a536405..e037df2e 100644
--- a/rowers/plannedsessions.py
+++ b/rowers/plannedsessions.py
@@ -220,11 +220,11 @@ def get_session_metrics(ps):
     return thedict
 
 cratiocolors = {
-    'started': "lightgreen",
-    'almost complete': "mediumgreen",
-    'completed': "green",
-    'a bit too much': "purple",
-    'way too much': "violet",
+    'better than nothing': "lightgreen",
+    'partial': "mediumgreen",
+    'on target': "green",
+    'over target': "purple",
+    'way over target': "violet",
     'missed': "black",
     'not done': "white",
 }
@@ -250,11 +250,11 @@ def is_session_complete_ws(ws,ps):
     cratiomax = 1
 
     cratios = {
-        'started':0,
-        'almost complete':0.6,
-        'completed':0.8,
-        'a bit too much':1.2,
-        'way too much': 1.5
+        'better than nothing':0,
+        'partial':0.6,
+        'on target':0.8,
+        'over target':1.2,
+        'way over target': 1.5
         }
 
     
@@ -263,8 +263,8 @@ def is_session_complete_ws(ws,ps):
             cratiomin = 0.8
             cratiomax = 1.2
         else:
-            cratios['completed'] = 0.9167
-            cratios['a bit too much'] = 1.0833
+            cratios['on target'] = 0.9167
+            cratios['over target'] = 1.0833
             cratiomin = 0.9167
             cratiomax = 1.0833
 
@@ -293,19 +293,19 @@ def is_session_complete_ws(ws,ps):
 
     ratio = score/float(value)
 
-    verdict = 'started'
+    verdict = 'better than nothing'
 
     if ps.sessiontype in ['session','cycletarget']:
         if ps.criterium == 'exact':
             if ratio == 1.0:
-                return ratio,'completed',completiondate
+                return ratio,'on target',completiondate
             else:
                 if not completiondate:
                     completiondate = ws.reverse()[0].date
                 return ratio,'partial',completiondate
         elif ps.criterium == 'minimum':
             if ratio >= 1.0:
-                return ratio,'completed',completiondate
+                return ratio,'on target',completiondate
             else:
                 if not completiondate:
                     completiondate = ws.reverse()[0].date
@@ -320,18 +320,18 @@ def is_session_complete_ws(ws,ps):
             return ratio,verdict,completiondate
     elif ps.sessiontype == 'test':
         if ratio==1.0:
-            return ratio,'completed',completiondate
+            return ratio,'on target',completiondate
         else:
             return ratio,'partial',completiondate
     elif ps.sessiontype == 'challenge':
         if ps.criterium == 'exact':
             if ratio == 1.0:
-                return ratio,'completed',completiondate
+                return ratio,'on target',completiondate
             else:
                 return ratio,'partial',completiondate
         elif ps.criterium == 'minimum':
             if ratio > 1.0:
-                return ratio,'completed',completiondate
+                return ratio,'on target',completiondate
             else:
                 if not completiondate:
                     completiondate = ws.reverse()[0].date
@@ -347,7 +347,7 @@ def is_session_complete_ws(ws,ps):
             if record.workoutid in wids:
                 if record.coursecompleted:
                     ratio = record.distance/ps.sessionvalue
-                    return ratio,'completed',completiondate
+                    return ratio,'on target',completiondate
                 else:
                     ratio = record.distance/ps.sessionvalue
                     return ratio,'partial',completiondate
@@ -359,7 +359,7 @@ def is_session_complete_ws(ws,ps):
             if record.workoutid in wids:
                 if record.coursecompleted:
                     ratio = record.distance/float(ps.sessionvalue)
-                    return ratio,'completed',completiondate
+                    return ratio,'on target',completiondate
                 else:
                     ratio = record.distance/float(ps.sessionvalue)
                     return ratio,'partial',completiondate

From 5b81f51e41537c6d8eec080d7cd66a60d9f5927a Mon Sep 17 00:00:00 2001
From: Sander Roosendaal <roosendaalsander@gmail.com>
Date: Mon, 12 Nov 2018 22:22:55 +0100
Subject: [PATCH 2/2] importing power from Strava

---
 rowers/stravastuff.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/rowers/stravastuff.py b/rowers/stravastuff.py
index 32587db8..0017f38f 100644
--- a/rowers/stravastuff.py
+++ b/rowers/stravastuff.py
@@ -248,7 +248,7 @@ def get_workout(user,stravaid):
         velojson = get_strava_stream(r,'velocity_smooth',stravaid)
         distancejson = get_strava_stream(r,'distance',stravaid)
         latlongjson = get_strava_stream(r,'latlng',stravaid)
-
+        powerjson = get_strava_stream(r,'power',stravaid)
 
         
         try:
@@ -269,6 +269,11 @@ def get_workout(user,stravaid):
 	except:
 	    spm = np.zeros(nr_rows)
 
+        try:
+            power = np.array(powerjson.json()[1]['data'])
+        except IndexError:
+            power = np.zeros(nr_rows)
+            
 	try:
 	    hr = np.array(hrjson.json()[1]['data'])
 	except IndexError:
@@ -315,6 +320,7 @@ def get_workout(user,stravaid):
 			   'hr':hr,
 			   'lat':lat,
 			   'lon':lon,
+                           'power':power,
 			   'strokelength':strokelength,
 			   })
 
@@ -494,7 +500,13 @@ def add_workout_from_data(user,importid,data,strokedata,
 
     velo = 500./pace
 
-    power = 2.8*velo**3
+    try:
+        power = strokedata.ix[:,'power']
+    except KeyError:
+        power = 2.8*velo**3
+
+    if power.std() == 0 and power.mean() == 0:
+        power = 2.8*velo**3
     
     # save csv
     # Create data frame with all necessary data to write to csv