def listing_all_gps_location_daywise(self, user_id: str,
all_days: List[str]):
"""
Produce and save the gps location of participant's in day basis
:param str user_id: UUID of the stream owner
:param List(str) all_days: All days of the user in the format 'YYYYMMDD'
"""
self.CC.logging.log('%s started processing for user_id %s' %
(self.__class__.__name__, str(user_id)))
gps_data = []
stream_ids = self.CC.get_stream_id(
user_id, GPS_EPISODES_AND_SEMANTIC_lOCATION_STREAM)
for stream_id in stream_ids:
for day in all_days:
location_data_stream = \
self.CC.get_stream(stream_id["identifier"], user_id, day, localtime=False)
for data in set(location_data_stream.data):
if data.start_time.date() != data.end_time.date():
temp = DataPoint(data.start_time, data.end_time,
data.offset, data.sample)
start_day = data.start_time.date()
end_time = datetime.combine(start_day, time.max)
end_time = end_time.replace(
tzinfo=data.start_time.tzinfo)
temp.end_time = end_time
gps_data.append(temp)
end_day = data.end_time.date()
start_day += timedelta(days=1)
while start_day != end_day:
temp = DataPoint(data.start_time, data.end_time,
data.offset, data.sample)
start_time = datetime.combine(start_day, time.min)
start_time = start_time.replace(
tzinfo=data.start_time.tzinfo)
temp.start_time = start_time
end_time = datetime.combine(start_day, time.max)
end_time = end_time.replace(
tzinfo=data.start_time.tzinfo)
temp.end_time = end_time
gps_data.append(temp)
start_day += timedelta(days=1)
temp = DataPoint(data.start_time, data.end_time,
data.offset, data.sample)
start_time = datetime.combine(start_day, time.min)
start_time = start_time.replace(
tzinfo=data.start_time.tzinfo)
temp.start_time = start_time
gps_data.append(temp)
else:
gps_data.append(data)
try:
if len(gps_data):
streams = self.CC.get_user_streams(user_id)
for stream_name, stream_metadata in streams.items():
if stream_name == GPS_EPISODES_AND_SEMANTIC_lOCATION_STREAM:
self.store_stream(filepath="gps_location_daywise.json",
input_streams=[stream_metadata],
user_id=user_id,
data=gps_data)
break
except Exception as e:
self.CC.logging.log("Exception:", str(e))
self.CC.logging.log(traceback.format_exc())
self.CC.logging.log(
'%s finished processing for user_id %s saved %d '
'data points' %
(self.__class__.__name__, str(user_id), len(gps_data)))
def listing_all_work_days(self, user_id: str, all_days: List[str]):
"""
Produce and save the list of work_days Works-days are generated by the
gps location of participant's which is labeled as 'Work' the first time
of a day is marked as start time and the last time marked as end time
and sample is saved as 'Office'
:param str user_id: UUID of the stream owner
:param List(str) all_days: All days of the user in the format 'YYYYMMDD'
:return:
"""
self.CC.logging.log('%s started processing for user_id %s' %
(self.__class__.__name__, str(user_id)))
work_data = []
work_data_ems = []
location_data = []
stream_ids = self.CC.get_stream_id(
user_id, GPS_EPISODES_AND_SEMANTIC_lOCATION_STREAM)
current_day = None # in beginning current day is null
for stream_id in stream_ids:
for day in all_days:
location_data_stream = \
self.CC.get_stream(stream_id["identifier"], user_id, day, localtime=True)
location_data += location_data_stream.data
location_data = list(set(location_data))
location_data.sort(key=lambda x: x.start_time)
for data in location_data:
print(data)
if data.sample.lower() != "work":
# only the data marked as Work are needed
continue
d = DataPoint(data.start_time, data.end_time, data.offset,
data.sample)
if d.start_time.date() != current_day:
'''
when the day in d.start_time.date() is not equal
current_day that means its a new day.
'''
if current_day:
temp = DataPoint(data.start_time, data.end_time,
data.offset, data.sample)
temp.start_time = work_start_time
temp.end_time = work_end_time
temp.sample = 'Office'
work_data.append(temp)
work_data_ems.append(
DataPoint(temp.start_time, temp.end_time, temp.offset,
1))
work_start_time = d.start_time
# save the new day as current day
current_day = d.start_time.date()
work_end_time = d.end_time
if current_day:
temp = DataPoint(data.start_time, data.end_time, data.offset,
data.sample)
temp.start_time = work_start_time
temp.end_time = work_end_time
temp.sample = 'Office'
work_data.append(temp)
work_data_ems.append(
DataPoint(temp.start_time, temp.end_time, temp.offset, 1))
try:
if len(work_data):
streams = self.CC.get_user_streams(user_id)
for stream_name, stream_metadata in streams.items():
if stream_name == GPS_EPISODES_AND_SEMANTIC_lOCATION_STREAM:
self.store_stream(filepath="working_days.json",
input_streams=[stream_metadata],
user_id=user_id,
data=work_data,
localtime=True)
self.store_stream(filepath="working_days_ems.json",
input_streams=[stream_metadata],
user_id=user_id,
data=work_data_ems,
localtime=True)
break
except Exception as e:
print("Exception:", str(e))
print(traceback.format_exc())
self.CC.logging.log(
'%s finished processing for user_id %s saved %d '
'data points' %
(self.__class__.__name__, str(user_id), len(work_data)))
def listing_all_work_days(self, user_id, all_days):
"""
Produce and save the list of work_days Works-days are generated by the
gps location of participant's which is labeled as 'Work' the first time
of a day is marked as start time and the last time marked as end time
and sample is saved as 'Office' """
self.CC.logging.log('%s started processing for user_id %s' %
(self.__class__.__name__, str(user_id)))
work_data = []
stream_ids = self.CC.get_stream_id(
user_id, GPS_EPISODES_AND_SEMANTIC_lOCATION_STREAM)
for stream_id in stream_ids:
current_day = None # in beginning current day is null
for day in all_days:
location_data_stream = \
self.CC.get_stream(stream_id["identifier"], user_id, day)
for data in location_data_stream.data:
if data.sample[0].lower() != "work":
# only the data marked as Work are needed
continue
d = DataPoint(data.start_time, data.end_time, data.offset,
data.sample)
# if d.offset:
# d.start_time += timedelta(milliseconds=d.offset)
# if d.end_time:
# d.end_time += timedelta(milliseconds=d.offset)
# else:
# continue
if d.start_time.date() != current_day:
'''
when the day in d.start_time.date() is not equal
current_day that means its a new day.
'''
if current_day:
temp = DataPoint(data.start_time, data.end_time,
data.offset, data.sample)
temp.start_time = work_start_time
temp.end_time = work_end_time
temp.sample = 'Office'
work_data.append(temp)
work_start_time = d.start_time
# save the new day as current day
current_day = d.start_time.date()
work_end_time = d.end_time
# print(work_data)
try:
if len(work_data):
streams = self.CC.get_user_streams(user_id)
for stream_name, stream_metadata in streams.items():
if stream_name == GPS_EPISODES_AND_SEMANTIC_lOCATION_STREAM:
# print(stream_metadata)
print("Going to pickle the file: ", work_data)
self.store_stream(filepath="working_days.json",
input_streams=[stream_metadata],
user_id=user_id,
data=work_data)
break
except Exception as e:
print("Exception:", str(e))
print(traceback.format_exc())
self.CC.logging.log(
'%s finished processing for user_id %s saved %d '
'data points' %
(self.__class__.__name__, str(user_id), len(work_data)))