empower fix done

rowers/dataprepnodjango.py

@@ -4,6 +4,7 @@ from rowingdata import rowingdata as rrdata
 from rowingdata import make_cumvalues
 from rowingdata import rower as rrower
 from rowingdata import main as rmain
+from rowingdata import empower_bug_correction,get_empower_rigging
 from time import strftime
 from pandas import DataFrame,Series
 
@@ -659,7 +660,55 @@ def update_strokedata(id,df,debug=False):
                        debug=debug)
 
     return rowdata
+
+def update_empower(id, inboard, oarlength, boattype, df, f1, debug=False):
+
+    corr_factor = 1.0
+    if 'x' in boattype:
+        # sweep
+        a = 0.06
+        b = 0.275
+    else:
+        # scull
+        a = 0.15
+        b = 0.275
+
+    corr_factor = empower_bug_correction(oarlength,inboard,a,b)
+
+    success = False
+
+    print df[' Power (watts)'].mean()
     
+    try:
+        df['power empower old'] = df[' Power (watts)'] 
+        df[' Power (watts)'] = df[' Power (watts)'] * corr_factor
+        df['driveenergy empower old'] = df['driveenergy']
+        df['driveenergy'] = df['driveenergy'] * corr_factor
+        success = True
+    except KeyError:
+        pass
+
+    if success:
+        delete_strokedata(id,debug=debug)
+        if debug:
+            print "updated ",id
+            print "correction ",corr_factor
+    else:
+        if debug:
+            print "not updated ",id
+
+    print df[' Power (watts)'].mean()
+
+    
+    rowdata = dataprep(df,id=id,bands=True,barchart=True,otwpower=True,
+                       debug=debug)
+
+    row = rrdata(df=df)
+    row.write_csv(f1,gzip=True)
+
+    return success
+
+
 def testdata(time,distance,pace,spm):
     t1 = np.issubdtype(time,np.number)
     t2 = np.issubdtype(distance,np.number)