Beispiel #1
0
    def update_heart_sleep(self, base_date, heartfile, sleepfile, end_date=None):
        today = self._get_date_str(end_date) if end_date else \
                                self._get_date_str(datetime.datetime.today())
        bd = self._get_date_str(base_date)

        config_from_file(heartfile,
                self.get_heartrate_info(base_date=bd, end_date=today),update=True)

        config_from_file(sleepfile,
                    self.get_sleep_info(base_date=bd, end_date=today),update=True)
def sleep_time_series(speepfile='sleep.txt'):
    sleepinfo = config_from_file(speepfile)
    return pd.DataFrame(
        list(
            flatten([[{
                'dateOfSleep': dateOfSleep,
                'minutesAsleep': spp['minutesAsleep']
            } for spp in sp] for dateOfSleep, sp in sleepinfo.items()])))
Beispiel #3
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    def update_heart_intraday(self,base_date,heartintradayfile, end_date=None):
        bdate = self._get_date_str(base_date)
        today = self._get_date_str(end_date) if end_date else \
                                self._get_date_str(datetime.datetime.today())

        return self.limited_date_API_call(bdate,today,
         lambda bd,ed: config_from_file(heartintradayfile,
         self.get_intraday_heartrate_info(base_date=bd, end_date=ed,
                                            detail_level = '1sec'),update=True))
Beispiel #4
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 def save_token(self, token):
     config_contents = {
         ATTR_ACCESS_TOKEN: token['access_token'],
         ATTR_REFRESH_TOKEN: token['refresh_token'],
         ATTR_CLIENT_ID: self.client_id,
         ATTR_CLIENT_SECRET: self.client_secret,
         ATTR_LAST_SAVED_AT: int(time.time())
     }
     return config_from_file(FITBIT_CONFIG_FILE, config_contents)
Beispiel #5
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#
# # API Request limit on heartrate intraday info
# try:
#     remaining_range = fbApi.update_heart_intraday(base_date,'heartrate-intraday.txt')
# except :
#     pass
#
# remaining_range






# load from files
heartrateinfo = config_from_file('heartrate.txt')
heartrateintradayinfo = config_from_file('heartrate-intraday.txt')
sleepinfo = config_from_file('sleep.txt')





hr = heartrateintradayinfo
hr['2018-06-10']




sleepts = pdw.sleep_time_series('sleep.txt')
def intraday_hr_dataframe(heartfile='heartrate-intraday.txt'):
    hr = config_from_file(heartfile)
    return dictsOfDicts_to_dataframes({
        dateTime: info['activities-heart-intraday']['dataset']
        for dateTime, info in hr.items()
    })