more foundation work for scoring

rowers/scoring.py

@@ -0,0 +1,102 @@
+from rowers.models import StandardCollection,CourseStandard
+
+import pandas as pd
+import arrow
+import datetime
+
+def save_scoring(name,user,filename,id=0):
+    if id==0:
+        collection = StandardCollection(name=name,manager=user)
+        collection.save()
+        standards = CourseStandard.objects.filter(standardcollection=collection)
+        for standard in standards:
+            standard.delete()
+    else:
+        try:
+            collection = StandardCollection.objects.get(id=id)
+            collection.name = name
+            collection.save()
+
+        except StandardCollection.DoesNotExist:
+            return 0
+
+    try:
+        df = pd.read_csv(filename)
+    except:
+        return 0
+
+    df = df.drop_duplicates(['Name'])
+
+    for index, row in df.iterrows():
+        try:
+            name = row['Name']
+        except KeyError:
+            continue
+
+        try:
+            coursedistance = row['CourseDistance']
+            coursetime = row['CourseStandard']
+            t = datetime.datetime.strptime(coursetime,'%M:%S.%f')
+            delta = datetime.timedelta(hours=t.hour, minutes=t.minute, seconds=t.second,microseconds=t.microsecond)
+            seconds = delta.total_seconds()
+
+            coursestandard = coursedistance/seconds
+        except KeyError:
+            continue
+
+        try:
+            agemin = row['MinAge']
+            agemax = row['MaxAge']
+            agemin = int(agemin)
+            agemax = int(agemax)
+        except KeyError:
+            agemin = 0
+            agemax = 120
+
+        try:
+            boatclass = row['BoatClass']
+        except KeyError:
+            boatclass = 'water'
+
+        try:
+            boattype = row['BoatType']
+        except KeyError:
+            boattype = '1x'
+
+        try:
+            sex = row['Gender']
+        except KeyError:
+            sex = 'F'
+
+        try:
+            weightclass = row['WeightClass']
+        except KeyError:
+            weightclass = 'hwt'
+
+        try:
+            adaptiveclass = row['AdaptiveClass']
+        except KeyError:
+            adaptiveclass = None
+
+        try:
+            skillclass = row['SkillClass']
+        except KeyError:
+            skillclass = 'Open'
+
+        # some testing
+        standard = CourseStandard(
+            name=name,
+            coursedistance=coursedistance,
+            coursestandard=coursestandard,
+            agemin=agemin,
+            agemax=agemax,
+            boatclass=boatclass,
+            boattype=boattype,
+            sex=sex,
+            weightclass=weightclass,
+            adaptiveclass=adaptiveclass,
+            skillclass=skillclass,
+            standardcollection = collection,
+        )
+
+        standard.save()