remove logging

rowers/models.py

@@ -335,12 +335,13 @@ class PowerZonesField(models.TextField):
 
 
 #c2url = 'http://www.concept2.com/indoor-rowers/racing/records/world?machine=1&event=All&gender=All&age=All&weight=All'
-c2url = 'https://www.concept2.com/indoor-rowers/racing/records/world?machine=rower&event=&gender=&age_category=&weight_class=&adaptive=0&op=Search&form_id=concept2_record_search_form#results'
+#c2url = 'https://www.concept2.com/indoor-rowers/racing/records/world?machine=rower&event=&gender=&age_category=&weight_class=&adaptive=0&op=Search&form_id=concept2_record_search_form#results'
-
+c2url = 'https://www.concept2.com/records?record_type=world&machine=rower&event=&gender=&age_category=&weight_class=&adaptive_rower=0'
 
 def update_records(url=c2url, verbose=True):
     ssl._create_default_https_context = ssl._create_unverified_context
     try:
+        response = requests.get(url)
         dfs = pd.read_html(url, attrs={'class': 'views-table'})
         df = dfs[0]
         df.columns = df.columns.str.strip()

rowers/tasks.py

@@ -3990,25 +3990,6 @@ def fetch_strava_workout(stravatoken, oauth_data, stravaid, csvfilename, userid,
         row.write_csv(csvfilename, compressed=False)
     except ComputeError:
         dologging('stravalog.log','polars not working')
-        dologging('stravalog.log',{'TimeStamp (sec)': unixtime,
-                       ' Horizontal (meters)': dist2,
-                       ' Cadence (stokes/min)': spm,
-                       ' HRCur (bpm)': hr,
-                       ' longitude': loncoord,
-                       ' latitude': latcoord,
-                       ' Stroke500mPace (sec/500m)': pace,
-                       ' Power (watts)': power,
-                       ' DragFactor': np.zeros(nr_rows),
-                       ' DriveLength (meters)': np.zeros(nr_rows),
-                       ' StrokeDistance (meters)': strokelength,
-                       ' DriveTime (ms)': np.zeros(nr_rows),
-                       ' StrokeRecoveryTime (ms)': np.zeros(nr_rows),
-                       ' AverageDriveForce (lbs)': np.zeros(nr_rows),
-                       ' PeakDriveForce (lbs)': np.zeros(nr_rows),
-                       ' lapIdx': lapidx,
-                       ' ElapsedTime (sec)': seconds,
-                       'cum_dist': dist2,
-                       })
         row = rowingdata.rowingdata(df=df.to_pandas())
         row.write_csv(csvfilename)