def _parse_continuous(self, unit):
"""Parse continuous segments of blood glucose readings for arbitrary (non-day) time batches (week, month, year)."""
last_time = util_time.parse_timestamp(unit.readings[0]['timestamp'])
segment = []
for r in unit.readings:
# update current time
current_time = util_time.parse_timestamp(r['timestamp'])
# triggered all but first run of loop
if last_time < current_time:
delta = current_time - last_time
if util_time.compare_timedelta_minutes(delta, 6, '>'):
unit.continuous = False
unit.continuous_segments.append(segment)
segment = [r]
else:
segment.append(r)
# only triggered during first run of loop
elif last_time == current_time:
segment.append(r)
# update last time
last_time = current_time
if len(segment) > 1:
unit.continuous_segments.append(segment)
def _parse_continuous(self, unit): """Parse continuous segments of blood glucose readings for arbitrary (non-day) time batches (week, month, year).""" last_time = util_time.parse_timestamp(unit.readings[0]['timestamp']) segment = [] for r in unit.readings: # update current time current_time = util_time.parse_timestamp(r['timestamp']) # triggered all but first run of loop if last_time < current_time: delta = current_time - last_time if util_time.compare_timedelta_minutes(delta, 6, '>'): unit.continuous = False unit.continuous_segments.append(segment) segment = [r] else: segment.append(r) # only triggered during first run of loop elif last_time == current_time: segment.append(r) # update last time last_time = current_time if len(segment) > 1: unit.continuous_segments.append(segment)
def _split_by_day(self):
"""Split data into daily batches."""
current_date = self.start_date
calibs = []
# loop through all calibrations and batch them by date
for c in self.calibrations:
if util_time.parse_timestamp(
c['timestamp']).date() == current_date:
calibs.append(c)
else:
# need to check if calibrations are empty...it happens
if calibs != []:
# T&E because DexcomDay object may not have been created yet for current_date
try:
self.days[current_date].calibrations = calibs
except KeyError as k1:
self.days[current_date] = DexcomDay()
self.days[current_date].calibrations = calibs
# reset calibs for next run of loop
calibs = []
# update current_date
current_date = util_time.increment_date(current_date)
if util_time.parse_timestamp(
c['timestamp']).date() == current_date:
calibs.append(c)
# add final day's data
if calibs != []:
try:
self.days[current_date].calibrations = calibs
except KeyError as k2:
self.days[current_date] = DexcomDay()
self.days[current_date].calibrations = calibs
# reset current_date to beginning
current_date = self.start_date
# store last most recent timestamp in order to check for continuity between meter readings
last_time = util_time.parse_timestamp(self.readings[0]['timestamp'])
dates = []
readings = []
# stores a *continuous* series of BG readings
segment = []
for r in self.readings:
if util_time.parse_timestamp(
r['timestamp']).date() == current_date:
readings.append(r)
# update current_time
current_time = util_time.parse_timestamp(r['timestamp'])
# only interested in continuity if the last_time and current_time are of the same date
if last_time.date() == current_time.date():
# last_time will always be less than current_time, except for first run of loop, when they will be equal
if last_time < current_time:
delta = current_time - last_time
# delta of 5 doesn't work since some BG readings are 5:01 apart
if util_time.compare_timedelta_minutes(delta, 6, '>'):
# T&E because DexcomDay object may not have been created yet for current_date
# in particular, if date has no calibrations, this could arise
try:
self.days[current_date].continuous = False
except KeyError as k3:
self.days[current_date] = DexcomDay()
self.days[current_date].continuous = False
# store and reinitalize segment when delta is greater than 6
self.days[current_date].continuous_segments.append(
segment)
segment = [r]
# if delta falls within acceptable range for continuity, just add reading to segment
else:
segment.append(r)
# only triggered during first run of loop
elif last_time == current_time:
segment.append(r)
# triggered at the beginning of each new day
else:
segment.append(r)
# update last_time
last_time = current_time
else:
# readings could be empty if no data for a particular day
if readings != []:
# T&E because DexcomDay object may not have been created yet for current_date
# in particular, if date has no calibrations, this could arise
try:
self.days[current_date].readings = readings
except KeyError as k4:
self.days[current_date] = DexcomDay()
self.days[current_date].readings = readings
if not self.days[current_date].continuous:
self.days[current_date].continuous_segments.append(
segment)
else:
self.days[current_date].continuous_segments.append(
readings)
# reset readings and segment for next run of loop
readings = []
segment = []
dates.append(current_date)
# udpate current_date
current_date = util_time.increment_date(current_date)
if util_time.parse_timestamp(
r['timestamp']).date() == current_date:
readings.append(r)
# add final day's data
dates.append(current_date)
if readings != []:
try:
self.days[current_date].readings = readings
except KeyError as k5:
self.days[current_date] = DexcomDay()
self.days[current_date].readings = readings
if not self.days[current_date].continuous:
self.days[current_date].continuous_segments.append(segment)
else:
self.days[current_date].continuous_segments.append(readings)
# must remain here because of chicken/egg problem with calling DexcomDay._times()
for date in dates:
try:
d = self.days[date]
d._times()
except KeyError as k6:
pass
def _split_by_day(self): """Split data into daily batches.""" current_date = self.start_date calibs = [] # loop through all calibrations and batch them by date for c in self.calibrations: if util_time.parse_timestamp(c['timestamp']).date() == current_date: calibs.append(c) else: # need to check if calibrations are empty...it happens if calibs != []: # T&E because DexcomDay object may not have been created yet for current_date try: self.days[current_date].calibrations = calibs except KeyError as k1: self.days[current_date] = DexcomDay() self.days[current_date].calibrations = calibs # reset calibs for next run of loop calibs = [] # update current_date current_date = util_time.increment_date(current_date) if util_time.parse_timestamp(c['timestamp']).date() == current_date: calibs.append(c) # add final day's data if calibs != []: try: self.days[current_date].calibrations = calibs except KeyError as k2: self.days[current_date] = DexcomDay() self.days[current_date].calibrations = calibs # reset current_date to beginning current_date = self.start_date # store last most recent timestamp in order to check for continuity between meter readings last_time = util_time.parse_timestamp(self.readings[0]['timestamp']) dates = [] readings = [] # stores a *continuous* series of BG readings segment = [] for r in self.readings: if util_time.parse_timestamp(r['timestamp']).date() == current_date: readings.append(r) # update current_time current_time = util_time.parse_timestamp(r['timestamp']) # only interested in continuity if the last_time and current_time are of the same date if last_time.date() == current_time.date(): # last_time will always be less than current_time, except for first run of loop, when they will be equal if last_time < current_time: delta = current_time - last_time # delta of 5 doesn't work since some BG readings are 5:01 apart if util_time.compare_timedelta_minutes(delta, 6, '>'): # T&E because DexcomDay object may not have been created yet for current_date # in particular, if date has no calibrations, this could arise try: self.days[current_date].continuous = False except KeyError as k3: self.days[current_date] = DexcomDay() self.days[current_date].continuous = False # store and reinitalize segment when delta is greater than 6 self.days[current_date].continuous_segments.append(segment) segment = [r] # if delta falls within acceptable range for continuity, just add reading to segment else: segment.append(r) # only triggered during first run of loop elif last_time == current_time: segment.append(r) # triggered at the beginning of each new day else: segment.append(r) # update last_time last_time = current_time else: # readings could be empty if no data for a particular day if readings != []: # T&E because DexcomDay object may not have been created yet for current_date # in particular, if date has no calibrations, this could arise try: self.days[current_date].readings = readings except KeyError as k4: self.days[current_date] = DexcomDay() self.days[current_date].readings = readings if not self.days[current_date].continuous: self.days[current_date].continuous_segments.append(segment) else: self.days[current_date].continuous_segments.append(readings) # reset readings and segment for next run of loop readings = [] segment = [] dates.append(current_date) # udpate current_date current_date = util_time.increment_date(current_date) if util_time.parse_timestamp(r['timestamp']).date() == current_date: readings.append(r) # add final day's data dates.append(current_date) if readings != []: try: self.days[current_date].readings = readings except KeyError as k5: self.days[current_date] = DexcomDay() self.days[current_date].readings = readings if not self.days[current_date].continuous: self.days[current_date].continuous_segments.append(segment) else: self.days[current_date].continuous_segments.append(readings) # must remain here because of chicken/egg problem with calling DexcomDay._times() for date in dates: try: d = self.days[date] d._times() except KeyError as k6: pass
