more pep

rowers/dataprepnodjango.py

@@ -2,6 +2,7 @@ from rowers.utils import totaltime_sec_to_string
 from rowers.metrics import dtypes
 import datetime
 from scipy.signal import savgol_filter
+import os
 
 # This is Data prep used for testing purposes (no Django environment)
 # Uses the debug SQLite database for stroke data
@@ -35,6 +36,12 @@ from rowers.utils import lbstoN
 import pytz
 from timezonefinder import TimezoneFinder
 
+from rowingdata import (
+    RowProParser, TCXParser, MysteryParser, RowPerfectParser,
+    ErgDataParser, CoxMateParser, BoatCoachAdvancedParser, BoatCoachOTWParser,
+    BoatCoachParser, painsledDesktopParser, SpeedCoach2Parser, speedcoachParser,
+    ErgStickParser, FITParser, fitsummarydata
+)
 
 try:
     user = DATABASES['default']['USER']
@@ -171,14 +178,12 @@ def create_c2_stroke_data_db(
         spm = 20*np.zeros(nr_strokes)
 
     try:
-        step = totalseconds/float(nr_strokes)
+        _ = totalseconds/float(nr_strokes)
     except ZeroDivisionError:
         return 0
 
     elapsed = np.arange(nr_strokes)*totalseconds/(float(nr_strokes-1))
 
-    dstep = distance/float(nr_strokes)
-
     d = np.arange(nr_strokes)*distance/(float(nr_strokes-1))
 
     unixtime = starttimeunix + elapsed
@@ -215,12 +220,9 @@ def create_c2_stroke_data_db(
         'cum_dist': d
     })
 
-    timestr = strftime("%Y%m%d-%H%M%S")
-
     df[' ElapsedTime (sec)'] = df['TimeStamp (sec)']
 
-    res = df.to_csv(csvfilename, index_label='index',
-                    compression='gzip')
+    _ = df.to_csv(csvfilename, index_label='index', compression='gzip')
 
     data = dataprep(df, id=workoutid, bands=False, debug=debug)
 
@@ -300,8 +302,6 @@ def add_c2_stroke_data_db(strokedata, workoutid, starttimeunix, csvfilename,
 
     df.sort_values(by='TimeStamp (sec)', ascending=True)
 
-    timestr = strftime("%Y%m%d-%H%M%S")
-
     # Create CSV file name and save data to CSV file
 
     res = df.to_csv(csvfilename, index_label='index',
@@ -447,8 +447,7 @@ def update_empower(id, inboard, oarlength, boattype, df, f1, debug=False):  # pr
         if debug:  # pragma: no cover
             print("not updated ", id)
 
-    rowdata = dataprep(df, id=id, bands=True, barchart=True, otwpower=True,
-                       debug=debug)
+    _ = dataprep(df, id=id, bands=True, barchart=True, otwpower=True, debug=debug)
 
     row = rrdata(df=df)
     row.write_csv(f1, gzip=True)
@@ -511,7 +510,7 @@ def update_workout_field_sql(workoutid, fieldname, value, debug=False):
         table, fieldname, value, workoutid)
 
     with engine.connect() as conn, conn.begin():
-        result = conn.execute(query)
+        _ = conn.execute(query)
 
     conn.close()
     engine.dispose()
@@ -527,7 +526,7 @@ def update_c2id_sql(id, c2id):  # pragma: no cover
         table, c2id, id)
 
     with engine.connect() as conn, conn.begin():
-        result = conn.execute(query)
+        _ = conn.execute(query)
 
     conn.close()
     engine.dispose()
@@ -588,7 +587,7 @@ def getcpdata_sql(rower_id, table='cpdata', debug=False):  # pragma: no cover
         rower_id=rower_id,
         table=table,
     ))
-    connection = engine.raw_connection()
+    _ = engine.raw_connection()
     df = pd.read_sql_query(query, engine)
 
     return df
@@ -606,7 +605,7 @@ def deletecpdata_sql(rower_id, table='cpdata', debug=False):  # pragma: no cover
     ))
     with engine.connect() as conn, conn.begin():
         try:
-            result = conn.execute(query)
+            _ = conn.execute(query)
         except:  # pragma: no cover
             print("Database locked")
     conn.close()
@@ -627,7 +626,7 @@ def delete_agegroup_db(age, sex, weightcategory, debug=False):
     ))
     with engine.connect() as conn, conn.begin():
         try:
-            result = conn.execute(query)
+            _ = conn.execute(query)
         except:  # pragma: no cover
             print("Database locked")
     conn.close()
@@ -687,7 +686,7 @@ def updatecpdata_sql(rower_id, delta, cp, table='cpdata', distance=pd.Series([],
     else:
         engine = create_engine(database_url, echo=False)
 
-    with engine.connect() as conn,  conn.begin():
+    with engine.connect() as conn, conn.begin():
         df.to_sql(table, engine, if_exists='append', index=False)
     conn.close()
     engine.dispose()
@@ -818,7 +817,7 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
         if forceunit == 'lbs':
             driveenergy = drivelength*averageforce*lbstoN
         else:  # pragma: no cover
-            drivenergy = drivelength*averageforce
+            driveenergy = drivelength*averageforce
 
     distance = rowdatadf.loc[:, 'cum_dist']
 
@@ -865,7 +864,7 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
         data['hr_bottom'] = 0.0*data['hr']
 
     try:
-        tel = rowdatadf.loc[:, ' ElapsedTime (sec)']
+        _ = rowdatadf.loc[:, ' ElapsedTime (sec)']
     except KeyError:  # pragma: no cover
         rowdatadf[' ElapsedTime (sec)'] = rowdatadf['TimeStamp (sec)']