more autopep

rowers/courses.py

@@ -25,7 +25,7 @@ from django.conf import settings
 
 import geocoder
 
-from matplotlib import path
+# from matplotlib import path
 import xml.etree.ElementTree as et
 
 from xml.etree.ElementTree import Element, SubElement, Comment, tostring
@@ -42,10 +42,6 @@ def howfaris(lat_lon, course):
 
     return distance
 
-#whatisnear = 150
-
-# get nearest races
-
 
 def getnearestraces(lat_lon, races, whatisnear=150):
     newlist = []
@@ -55,7 +51,6 @@ def getnearestraces(lat_lon, races, whatisnear=150):
             newlist.append(race)
         else:
             c = race.course
-            coords = c.coord
             distance = howfaris(lat_lon, c)
             if distance < whatisnear:
                 newlist.append(race)
@@ -84,7 +79,6 @@ def getnearestcourses(lat_lon, courses, whatisnear=150, strict=False):
     newlist = []
     counter = 0
     for c in courses:
-        coords = c.coord
         distance = howfaris(lat_lon, c)
 
         if distance < whatisnear:
@@ -199,8 +193,6 @@ def coursetokml(course):
     polygons = GeoPolygon.objects.filter(
         course=course).order_by("order_in_course")
 
-    polygonsxml = []
-
     for polygon in polygons:
         placemark = SubElement(folder2, 'Placemark')
         polygonname = SubElement(placemark, 'name')

rowers/datautils.py

@@ -6,7 +6,6 @@ from scipy import optimize
 
 from rowers.mytypes import otwtypes, otetypes, rowtypes
 
-#p0 = [500,350,10,8000]
 p0 = [190, 200, 33, 16000]
 
 # RPE to TSS
@@ -73,10 +72,12 @@ def updatecp(delta, cpvalues, r, workouttype='water'):  # pragma: no cover
 
 def cpfit(powerdf, fraclimit=0.0001, nmax=1000):
     # Fit the data to thee parameter CP model
-    def fitfunc(pars, x): return abs(
-        pars[0])/(1+(x/abs(pars[2]))) + abs(pars[1])/(1+(x/abs(pars[3])))
+    def fitfunc(pars, x):
+        return abs(
+            pars[0])/(1+(x/abs(pars[2]))) + abs(pars[1])/(1+(x/abs(pars[3])))
 
-    def errfunc(pars, x, y): return fitfunc(pars, x)-y
+    def errfunc(pars, x, y):
+        return fitfunc(pars, x)-y
 
     p1 = p0
 
@@ -235,8 +236,6 @@ def getcp_new(dfgrouped, logarr):  # pragma: no cover
         restime = np.array(restime)
         power = np.array(power)
 
-        #power[0] = power[1]
-
         cpvalues = griddata(restime, power,
                             logarr, method='linear', fill_value=0)
 
@@ -264,7 +263,6 @@ def getcp(dfgrouped, logarr):
     delta = []
     cpvalue = []
     avgpower = {}
-    #avgpower[0] = 0
 
     for id, group in dfgrouped:
         tt = group['time'].copy()
@@ -273,7 +271,7 @@ def getcp(dfgrouped, logarr):
         # Remove data where PM is repeating final power value
         # of an interval during the rest
         rolling_std = ww.rolling(window=4).std()
-        deltas = tt.diff()
+        # deltas = tt.diff()
 
         mask = rolling_std == 0
         ww.loc[mask] = 0
@@ -281,7 +279,7 @@ def getcp(dfgrouped, logarr):
         mask = ww > 2000
         ww.loc[mask] = 0
 
-        tmax = tt.max()
+        # tmax = tt.max()
 
         try:
             avgpower[id] = int(ww.mean())
@@ -389,13 +387,13 @@ def getfastest(df, thevalue, mode='distance'):
     dd = pd.Series(dd, dtype='float')
 
     G = pd.concat([pd.Series([0]), dd])
-    T = pd.concat([pd.Series([0]), dd])
-    h = np.mgrid[0:len(tt)+1:1, 0:len(tt)+1:1]
-    distances = pd.DataFrame(h[1]-h[0])
+    # T = pd.concat([pd.Series([0]), dd])
+    # h = np.mgrid[0:len(tt)+1:1, 0:len(tt)+1:1]
+    # distances = pd.DataFrame(h[1]-h[0])
     ones = 1+np.zeros(len(G))
     Ghor = np.outer(ones, G)
-    Thor = np.outer(ones, T)
-    Tver = np.outer(T, ones)
+    # Thor = np.outer(ones, T)
+    # Tver = np.outer(T, ones)
     Gver = np.outer(G, ones)
     Gdif = Ghor-Gver
     Gdif = np.tril(Gdif.T).T
@@ -428,8 +426,6 @@ def getfastest(df, thevalue, mode='distance'):
     #    if restime[i]<thevalue*60*1000:
     #        print(i,restime[i],distance[i],60*1000*thevalue)
 
-    d2 = 0
-
     if mode == 'distance':
         duration = griddata(distance, restime, [
                             thevalue], method='linear', rescale=True)

rowers/imports.py

@@ -70,10 +70,6 @@ def splitstdata(lijst):
 def imports_open(user, oauth_data):
     r = Rower.objects.get(user=user)
     token = getattr(r, oauth_data['tokenname'])
-    try:
-        refreshtoken = getattr(r, oauth_data['refreshtokenname'])
-    except (TypeError, AttributeError, KeyError):  # pragma: no cover
-        refreshtoken = None
 
     try:
         tokenexpirydate = getattr(r, oauth_data['expirydatename'])
@@ -81,7 +77,6 @@ def imports_open(user, oauth_data):
         tokenexpirydate = None
 
     if (token == '') or (token is None):
-        s = "Token doesn't exist. Need to authorize"
         raise NoTokenError("User has no token")
     else:
         tokenname = oauth_data['tokenname']
@@ -109,10 +104,10 @@ def imports_open(user, oauth_data):
 
 # Refresh token using refresh token
 def imports_do_refresh_token(refreshtoken, oauth_data, access_token=''):
-    client_auth = requests.auth.HTTPBasicAuth(
-        oauth_data['client_id'],
-        oauth_data['client_secret']
-    )
+    # client_auth = requests.auth.HTTPBasicAuth(
+    #    oauth_data['client_id'],
+    #    oauth_data['client_secret']
+    # )
 
     post_data = {"grant_type": "refresh_token",
                  "client_secret": oauth_data['client_secret'],
@@ -127,8 +122,6 @@ def imports_do_refresh_token(refreshtoken, oauth_data, access_token=''):
     if 'grant_type' in oauth_data:
         if oauth_data['grant_type']:
             post_data['grant_type'] = oauth_data['grant_type']
-        else:  # pragma: no cover
-            grant_type = post_data.pop('grant_type', None)
 
     if oauth_data['bearer_auth']:
         headers['authorization'] = 'Bearer %s' % access_token
@@ -192,9 +185,9 @@ def imports_get_token(
     client_id = oauth_data['client_id']
     base_uri = oauth_data['base_url']
 
-    client_auth = requests.auth.HTTPBasicAuth(
-        client_id, client_secret
-    )
+    # client_auth = requests.auth.HTTPBasicAuth(
+    #    client_id, client_secret
+    # )
 
     post_data = {"grant_type": "authorization_code",
                  "code": code,
@@ -216,8 +209,6 @@ def imports_get_token(
             post_data['grant_type'] = oauth_data['grant_type']
             if 'strava' in oauth_data['autorization_uri']:
                 post_data['grant_type'] = "authorization_code"
-        else:  # pragma: no cover
-            grant_type = post_data.pop('grant_type', None)
 
     if 'json' in oauth_data['content_type']:
         response = requests.post(
@@ -268,7 +259,6 @@ def imports_make_authorization_url(oauth_data):  # pragma: no cover
               "scope": oauth_data['scope'],
               "state": state}
 
-    import urllib
     url = oauth_data['authorizaton_uri']+urllib.parse.urlencode(params)
 
     return HttpResponseRedirect(url)

rowers/tpstuff.py

@@ -21,8 +21,6 @@ from rowsandall_app.settings import (
 
 tpapilocation = "https://api.trainingpeaks.com"
 
-#from async_messages import message_user,messages
-
 oauth_data = {
     'client_id': TP_CLIENT_ID,
     'client_secret': TP_CLIENT_SECRET,
@@ -53,7 +51,7 @@ def do_refresh_token(refreshtoken):
 
 
 def get_token(code):
-    client_auth = requests.auth.HTTPBasicAuth(TP_CLIENT_KEY, TP_CLIENT_SECRET)
+    # client_auth = requests.auth.HTTPBasicAuth(TP_CLIENT_KEY, TP_CLIENT_SECRET)
     post_data = {
         "client_id": TP_CLIENT_KEY,
         "grant_type": "authorization_code",
@@ -61,9 +59,6 @@ def get_token(code):
         "redirect_uri": TP_REDIRECT_URI,
         "client_secret": TP_CLIENT_SECRET,
     }
-    headers = {
-        'Content-Type': 'application/x-www-form-urlencoded',
-    }
 
     response = requests.post(
         "https://oauth.trainingpeaks.com/oauth/token",

rowers/uploads.py

@@ -87,7 +87,7 @@ def make_plot(r, w, f1, f2, plottype, title, imagename='', plotnr=0):
     }
 
     axis = r.staticgrids
-    if axis == None:  # pragma: no cover
+    if axis is None:  # pragma: no cover
         gridtrue = False
         axis = 'both'
     else:
@@ -133,14 +133,14 @@ def do_sync(w, options, quick=False):
 
     do_strava_export = w.user.strava_auto_export
     try:
-        upload_to_strava = options['upload_to_Strava'] or do_strava_export
+        do_strava_export = options['upload_to_Strava'] or do_strava_export
     except KeyError:
-        upload_to_strava = False
+        pass
 
     try:
         if options['stravaid'] != 0 and options['stravaid'] != '':  # pragma: no cover
             w.uploadedtostrava = options['stravaid']
-            upload_to_strava = False
+            # upload_to_strava = False
             do_strava_export = False
             w.save()
     except KeyError:
@@ -174,14 +174,14 @@ def do_sync(w, options, quick=False):
 
     do_c2_export = w.user.c2_auto_export
     try:
-        upload_to_c2 = options['upload_to_C2'] or do_c2_export
+        do_c2_export = options['upload_to_C2'] or do_c2_export
     except KeyError:
-        upload_to_c2 = False
+        pass
 
     try:
         if options['c2id'] != 0 and options['c2id'] != '':  # pragma: no cover
             w.uploadedtoc2 = options['c2id']
-            upload_to_c2 = False
+            # upload_to_c2 = False
             do_c2_export = False
             w.save()
     except KeyError:
@@ -250,16 +250,15 @@ def do_sync(w, options, quick=False):
             with open('st_export.log', 'a') as logfile:
                 logfile.write(str(timezone.now())+': ')
                 logfile.write(str(w.user)+' NoTokenError\n')
-            message = "Please connect to SportTracks first"
-            id = 0
+
+            return 0
 
     if ('upload_to_TrainingPeaks' in options and options['upload_to_TrainingPeaks']) or (w.user.trainingpeaks_auto_export):  # pragma: no cover
         try:
-            message, id = tpstuff.workout_tp_upload(
+            _, id = tpstuff.workout_tp_upload(
                 w.user.user, w
             )
         except NoTokenError:
-            message = "Please connect to TrainingPeaks first"
-            id = 0
+            return 0
 
     return 1