def _times(self):
"""Fill in start and end times and dates."""
# just in case a calibration timestamp happens to occur before or after the first or last CGM reading of the day
if len(self.calibrations) != 0 and len(self.readings) != 0:
self.start_time, self.date = util_time.get_start_time(
self.calibrations[0]['timestamp'],
self.readings[0]['timestamp'])
self.end_time = util_time.get_end_time(
self.calibrations[-1]['timestamp'],
self.readings[-1]['timestamp'])[0]
elif len(self.readings) != 0:
self.start_time = util_time.parse_timestamp(
self.readings[0]['timestamp'])
self.date = self.start_time.date()
self.end_time = util_time.parse_timestamp(
self.readings[-1]['timestamp'])
else:
self.start_time = util_time.parse_timestamp(
self.calibrations[0]['timestamp'])
self.date = self.start_time.date()
print
print str(
self.date) + " has (a) calibration(s) but no CGM readings."
print
self.end_time = util_time.parse_timestamp(
self.calibrations[0]['timestamp'])
def _times(self): """Fill in start and end times and dates.""" # just in case a calibration timestamp happens to occur before or after the first or last CGM reading of the day if len(self.calibrations) != 0 and len(self.readings) != 0: self.start_time, self.date = util_time.get_start_time(self.calibrations[0]['timestamp'], self.readings[0]['timestamp']) self.end_time = util_time.get_end_time(self.calibrations[-1]['timestamp'], self.readings[-1]['timestamp'])[0] elif len(self.readings) != 0: self.start_time = util_time.parse_timestamp(self.readings[0]['timestamp']) self.date = self.start_time.date() self.end_time = util_time.parse_timestamp(self.readings[-1]['timestamp']) else: self.start_time = util_time.parse_timestamp(self.calibrations[0]['timestamp']) self.date = self.start_time.date() print print str(self.date) + " has (a) calibration(s) but no CGM readings." print self.end_time = util_time.parse_timestamp(self.calibrations[0]['timestamp'])
def __init__(self, dex, out_path, options):
with open(dex, 'rb') as f:
self.dexcom = json.load(f)
self.path = out_path
self.calibrations = self.dexcom['Calibrations']
self.readings = self.dexcom['Readings']
# of these, only using self.start_date so far, but the rest could be potentially useful?
self.start_time, self.start_date = util_time.get_start_time(
self.calibrations[0]['timestamp'], self.readings[0]['timestamp'])
self.end_time, self.end_date = util_time.get_end_time(
self.calibrations[-1]['timestamp'], self.readings[-1]['timestamp'])
# dict of DexcomDay objects, keyed by Python datetime.date()
self.days = {}
# dict of DexcomWeek objects, keyed by Python datetime.date().isocalendar()[1] (= ISO week number)
self.weeks = {}
# dict of DexcomMonth objects, keyed by Python datetime.month
self.months = {}
# dict of DexcomYear objects, keyed by Python datetime.year
self.years = {}
# dict of all batched objects
self.units = {'days': self.days}
# method to split data into DexcomDay objects
self._split_by_day()
# following lines allow for looping through self.days dict in sequential date order
self.dates = []
for day in self.days.values():
if type(day.date) != type('abc'):
self.dates.append(day.date)
else:
print "Empty Date!"
day.print_summary()
# populate each day's just_readings array
day.just_readings = [
reading['blood_glucose'] for reading in day.readings
]
self._crunch_all(day)
self.dates.sort()
if options[0]:
# method to split data into DexcomWeek objects
self._split_by_week()
self.units['weeks'] = self.weeks
if options[1]:
# method to split data into DexcomMonth objects
self._split_by_month()
self.units['months'] = self.months
if options[2]:
# method to split data into DexcomYear objects
self._split_by_year()
self.units['years'] = self.years
def __init__(self, dex, options):
with open(dex, 'rb') as f:
self.dexcom = json.load(f)
self.path = dex.rstrip('dexcom.json')
self.calibrations = self.dexcom['Calibrations']
self.readings = self.dexcom['Readings']
# of these, only using self.start_date so far, but the rest could be potentially useful?
self.start_time, self.start_date = util_time.get_start_time(self.calibrations[0]['timestamp'],
self.readings[0]['timestamp'])
self.end_time, self.end_date = util_time.get_end_time(self.calibrations[-1]['timestamp'],
self.readings[-1]['timestamp'])
# dict of DexcomDay objects, keyed by Python datetime.date()
self.days = {}
# dict of DexcomWeek objects, keyed by Python datetime.date().isocalendar()[1] (= ISO week number)
self.weeks = {}
# dict of DexcomMonth objects, keyed by Python datetime.month
self.months = {}
# dict of DexcomYear objects, keyed by Python datetime.year
self.years = {}
# dict of all batched objects
self.units = {'days': self.days}
# method to split data into DexcomDay objects
self._split_by_day()
# following lines allow for looping through self.days dict in sequential date order
self.dates = []
for day in self.days.values():
if type(day.date) != type('abc'):
self.dates.append(day.date)
else:
print "Empty Date!"
day.print_summary()
# populate each day's just_readings array
day.just_readings = [reading['blood_glucose'] for reading in day.readings]
self._crunch_all(day)
self.dates.sort()
if options[0]:
# method to split data into DexcomWeek objects
self._split_by_week()
self.units['weeks'] = self.weeks
if options[1]:
# method to split data into DexcomMonth objects
self._split_by_month()
self.units['months'] = self.months
if options[2]:
# method to split data into DexcomYear objects
self._split_by_year()
self.units['years'] = self.years