diff --git a/rowers/dataprep.py b/rowers/dataprep.py index dff4237d..3874fa3f 100644 --- a/rowers/dataprep.py +++ b/rowers/dataprep.py @@ -72,6 +72,7 @@ import pandas as pd import numpy as np import itertools from fitparse import FitFile +from fitparse.base import FitHeaderError import math from rowers.tasks import ( handle_sendemail_unrecognized, handle_sendemail_breakthrough, @@ -1586,7 +1587,11 @@ def handle_nonpainsled(f2, fileformat, summary=''): # Currently there is code duplication def get_workouttype_from_fit(filename,workouttype='water'): - fitfile = FitFile(filename,check_crc=False) + try: + fitfile = FitFile(filename,check_crc=False) + except FitHeaderError: + return workouttype + records = fitfile.messages fittype = 'rowing' for record in records: diff --git a/rowers/tasks.py b/rowers/tasks.py index c940c3ff..21165f54 100644 --- a/rowers/tasks.py +++ b/rowers/tasks.py @@ -2744,8 +2744,8 @@ def fetch_strava_workout(stravatoken,oauth_data,stravaid,csvfilename,userid,debu url = "https://www.strava.com/api/v3/activities/"+str(stravaid) response = requests.get(url,headers=headers) if response.status_code != 200: - t = time.localtime() - timestamp = time.strftime('%b-%d-%Y_%H%M', t) + tstamp = time.localtime() + timestamp = time.strftime('%b-%d-%Y_%H%M', tstamp) with open('strava_webhooks.log','a') as f: f.write('\n') f.write(timestamp) @@ -2781,8 +2781,8 @@ def fetch_strava_workout(stravatoken,oauth_data,stravaid,csvfilename,userid,debu coords = get_strava_stream(None,'latlng',stravaid,authorizationstring=authorizationstring) power = get_strava_stream(None,'watts',stravaid,authorizationstring=authorizationstring) - t = time.localtime() - timestamp = time.strftime('%b-%d-%Y_%H%M', t) + tstamp = time.localtime() + timestamp = time.strftime('%b-%d-%Y_%H%M', tstamp) with open('strava_webhooks.log','a') as f: f.write('\n') f.write(timestamp) @@ -2840,7 +2840,7 @@ def fetch_strava_workout(stravatoken,oauth_data,stravaid,csvfilename,userid,debu - strokelength = velo2*60./(spm) + strokelength = velo*60./(spm) strokelength[np.isinf(strokelength)] = 0.0