def testGroupedByOneLocalDayMultiUTCDay(self):
key = (2016, 5, 3)
test_section_list = []
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,6, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,10, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,23, tzinfo=tz.gettz(PST)),
PST))
self._fillModeDistanceDuration(test_section_list)
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
# There's only one local date, so it will be consistent with
# results in testGroupedByOneLocalDayOneUTCDay
summary_ld_dict = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, [earmts.get_count])
summary_ld = summary_ld_dict["result"][0]
summary_ld_last = summary_ld_dict["last_ts_processed"]
self.assertEqual(summary_ld_last,
arrow.Arrow(2016,5,3,23, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(len(summary_ld), 1) # spans one day
self.assertEqual(summary_ld[0].BICYCLING, 3)
self.assertEqual(summary_ld[0].ts, 1462258800)
self.assertEqual(summary_ld[0].local_dt.day, 3)
summary_ts_dict = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', [earmts.get_count])
summary_ts = summary_ts_dict["result"][0]
summary_ts_last = summary_ts_dict["last_ts_processed"]
# But 23:00 PDT is 6am on the 4th in UTC,
# so the results are different for this
self.assertEqual(summary_ts_last,
arrow.Arrow(2016,5,3,23, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(len(summary_ts), 2) # spans two days in UTC
self.assertEqual(summary_ts[0].BICYCLING, 2) # 2 trips on the first day
self.assertEqual(summary_ts[1].BICYCLING, 1) # 1 trips on the second day
self.assertEqual(summary_ts[0].local_dt.day, 3) # because it is the second in UTC
self.assertEqual(summary_ts[1].local_dt.day, 4) # because it is the second in UTC
self.assertEqual(summary_ts[0].ts, 1462233600) # timestamp for midnight 3nd May
self.assertEqual(summary_ts[1].ts, 1462320000) # timestamp for midnight 4rd May
def testGroupedByOneLocalDayMultiUTCDay(self):
key = (2016, 5, 3)
test_section_list = []
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,6, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,10, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,23, tzinfo=tz.gettz(PST)),
PST))
self._fillModeDistanceDuration(test_section_list)
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
# There's only one local date, so it will be consistent with
# results in testGroupedByOneLocalDayOneUTCDay
summary_ld_dict = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, [earmts.get_count])
summary_ld = summary_ld_dict["result"][0]
summary_ld_last = summary_ld_dict["last_ts_processed"]
self.assertEqual(summary_ld_last,
arrow.Arrow(2016,5,3,23, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(len(summary_ld), 1) # spans one day
self.assertEqual(summary_ld[0].BICYCLING, 3)
self.assertEqual(summary_ld[0].ts, 1462258800)
self.assertEqual(summary_ld[0].local_dt.day, 3)
summary_ts_dict = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', [earmts.get_count])
summary_ts = summary_ts_dict["result"][0]
summary_ts_last = summary_ts_dict["last_ts_processed"]
# But 23:00 PDT is 6am on the 4th in UTC,
# so the results are different for this
self.assertEqual(summary_ts_last,
arrow.Arrow(2016,5,3,23, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(len(summary_ts), 2) # spans two days in UTC
self.assertEqual(summary_ts[0].BICYCLING, 2) # 2 trips on the first day
self.assertEqual(summary_ts[1].BICYCLING, 1) # 1 trips on the second day
self.assertEqual(summary_ts[0].local_dt.day, 3) # because it is the second in UTC
self.assertEqual(summary_ts[1].local_dt.day, 4) # because it is the second in UTC
self.assertEqual(summary_ts[0].ts, 1462233600) # timestamp for midnight 3nd May
self.assertEqual(summary_ts[1].ts, 1462320000) # timestamp for midnight 4rd May
def testGroupedByOneLocalDayOneUTCDay(self):
key = (2016, 5, 3)
test_section_list = []
#
# Since PST is UTC-7, all of these will be in the same UTC day
# 13:00, 17:00, 21:00
# so we expect the local date and UTC bins to be the same
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,6, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,10, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,14, tzinfo=tz.gettz(PST)),
PST))
self._fillModeDistanceDuration(test_section_list)
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
summary_ts_dict = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', [earmts.get_count])
summary_ld_dict = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, [earmts.get_count])
summary_ts_last = summary_ts_dict["last_ts_processed"]
summary_ld_last = summary_ld_dict["last_ts_processed"]
summary_ts = summary_ts_dict["result"][0]
summary_ld = summary_ld_dict["result"][0]
self.assertEqual(summary_ts_last, arrow.Arrow(2016,5,3,14, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(summary_ld_last, arrow.Arrow(2016,5,3,14, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(len(summary_ts), len(summary_ld)) # local date and UTC results are the same
self.assertEqual(len(summary_ts), 1) # spans one day
self.assertEqual(summary_ts[0].BICYCLING, summary_ld[0].BICYCLING)
self.assertEqual(summary_ts[0].BICYCLING, 3)
# Note that the timestamps are not guaranteed to be equal since
# the UTC range starts at midnight UTC while the local time range
# starts at midnight PDT
# self.assertEqual(summary_ts[0].ts, summary_ld[0].ts)
self.assertEqual(summary_ts[0].ts, 1462233600)
self.assertEqual(summary_ld[0].ts, 1462258800)
self.assertEqual(summary_ts[0].local_dt.day, 3)
self.assertEqual(summary_ts[0].local_dt.day, summary_ld[0].local_dt.day)
def testGroupedByOneLocalDayOneUTCDay(self):
key = (2016, 5, 3)
test_section_list = []
#
# Since PST is UTC-7, all of these will be in the same UTC day
# 13:00, 17:00, 21:00
# so we expect the local date and UTC bins to be the same
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,6, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,10, tzinfo=tz.gettz(PST)),
PST))
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,14, tzinfo=tz.gettz(PST)),
PST))
self._fillModeDistanceDuration(test_section_list)
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
summary_ts_dict = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', [earmts.get_count])
summary_ld_dict = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, [earmts.get_count])
summary_ts_last = summary_ts_dict["last_ts_processed"]
summary_ld_last = summary_ld_dict["last_ts_processed"]
summary_ts = summary_ts_dict["result"][0]
summary_ld = summary_ld_dict["result"][0]
self.assertEqual(summary_ts_last, arrow.Arrow(2016,5,3,14, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(summary_ld_last, arrow.Arrow(2016,5,3,14, tzinfo=tz.gettz(PST)).timestamp)
self.assertEqual(len(summary_ts), len(summary_ld)) # local date and UTC results are the same
self.assertEqual(len(summary_ts), 1) # spans one day
self.assertEqual(summary_ts[0].BICYCLING, summary_ld[0].BICYCLING)
self.assertEqual(summary_ts[0].BICYCLING, 3)
# Note that the timestamps are not guaranteed to be equal since
# the UTC range starts at midnight UTC while the local time range
# starts at midnight PDT
# self.assertEqual(summary_ts[0].ts, summary_ld[0].ts)
self.assertEqual(summary_ts[0].ts, 1462233600)
self.assertEqual(summary_ld[0].ts, 1462258800)
self.assertEqual(summary_ts[0].local_dt.day, 3)
self.assertEqual(summary_ts[0].local_dt.day, summary_ld[0].local_dt.day)
def testGroupedByOneLocalDayMultiTzGoingEast(self):
key = (2016, 5, 3)
test_section_list = []
# This is perhaps an extreme use case, but it is actually a fairly
# common one with air travel
# Step 1: user leaves SFO at 1am on the 3rd for JFK on a cross-country flight
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,1, tzinfo=tz.gettz(PST)),
PST))
# cross-country takes 8 hours, so she arrives in New York at 9:00 IST = 12:00am EDT
# (taking into account the time difference)
test_section_list[0]['data'] = self._fillDates(test_section_list[0].data, "end_",
arrow.Arrow(2016,5,3,9,tzinfo=tz.gettz(PST)),
EST)
# Step 2: user leaves JFK for LHR at 1pm EST.
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,13, tzinfo=tz.gettz(EST)),
EST))
# cross-atlantic flight takes 7 hours, so she arrives at LHR at 8:00pm EDT
# = 2am on the 4th local time
test_section_list[1]['data'] = self._fillDates(test_section_list[1].data, "end_",
arrow.Arrow(2016,5,3,21,tzinfo=tz.gettz(EST)),
BST)
# Then, she catches the train from the airport to her hotel in London
# at 3am local time = 9:00pm EST
# So as per local time, this is a new trip
#
# This clearly indicates why we need to use the timezone of the end of
# last section to generate the timestamp for the range. If we use the
# timezone of the beginning of the trip, we will say that the range ends
# at midnight EST. But then it should include the next_day_first_trip,
# which starts at 9pm EST, but it does not.
# So we should use midnight BST instead. Note that midnight BST was
# actually during the trip, but then it is no different from a regular
# trip (in one timezone) where the trip spans the date change
next_day_first_trip = self._createTestSection(
arrow.Arrow(2016,5,4,3, tzinfo=tz.gettz(BST)),
BST)
self._fillModeDistanceDuration(test_section_list)
self._fillModeDistanceDuration([next_day_first_trip])
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
summary_dict = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', [earmts.get_count])
summary_last = summary_dict["last_ts_processed"]
summary = summary_dict["result"][0]
logging.debug(summary)
self.assertEqual(summary_last,
arrow.Arrow(2016,5,4,3, tzinfo=tz.gettz(BST)).timestamp)
self.assertEqual(len(summary), 2) # spans two days in UTC
self.assertEqual(summary[0].BICYCLING, 2) # trip leaving SFO and JFK
self.assertEqual(summary[1].BICYCLING, 1) # trip in GMT
self.assertEqual(summary[0].local_dt.day, 3) # because it is the second in UTC
self.assertEqual(summary[1].local_dt.day, 4)
self.assertEqual(summary[0].local_dt.hour, 0) # timestamp fills out all vals
self.assertEqual(summary[0].ts, 1462233600) # timestamp for start of 2nd May in UTC
self.assertEqual(summary[1].ts, 1462320000) # timestamp for start of 2nd May in UTC
# There's only one local date, but it starts in IST this time
summary_ld_dict = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, [earmts.get_count])
summary_ld_last = summary_ld_dict["last_ts_processed"]
summary_ld = summary_ld_dict["result"][0]
self.assertEqual(summary_ld_last,
arrow.Arrow(2016,5,4,3, tzinfo=tz.gettz(BST)).timestamp)
self.assertEqual(len(summary_ld), 2) # spans one day + 1 trip on the next day
self.assertEqual(summary_ld[0].BICYCLING, 2) # two plane trips
self.assertEqual(summary_ld[1].BICYCLING, 1) # trip SFO
self.assertEqual(summary_ld[0].ts, 1462258800) # start of the 3rd in IST
self.assertEqual(summary_ld[0].local_dt.day, 3)
self.assertEqual(summary_ld[1].ts, 1462316400) # start of the 4th in BST
self.assertEqual(summary_ld[1].local_dt.day, 4)
def testGroupedByOneLocalDayMultiTzGoingWest(self):
key = (2016, 5, 3)
test_section_list = []
# This is perhaps an extreme use case, but it is actually a fairly
# common one with air travel
# Step 1: user leaves Delhi at 1am on the 3rd for JFK on the non-stop
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,1, tzinfo=tz.gettz(IST)),
IST))
# non-stop takes 15 hours, so she arrives in New York at 16:00 IST = 6:30am EDT
# (taking into account the time difference)
# Step 2: user leaves JFK for SFO at 7am EST on a non-stop
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,7, tzinfo=tz.gettz(EST)),
EST))
# Step 3: user starts a trip out of SFO a midnight of the 4th PST
# (earliest possible trip)
# for our timestamp algo to be correct, this has to be after the
# timestamp for the range
next_day_first_trip = self._createTestSection(
arrow.Arrow(2016,5,4,0, tzinfo=tz.gettz(PST)),
PST)
self._fillModeDistanceDuration(test_section_list)
self._fillModeDistanceDuration([next_day_first_trip])
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
summary_ts_dict = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', [earmts.get_count])
summary_ts_last = summary_ts_dict["last_ts_processed"]
summary_ts = summary_ts_dict["result"][0]
logging.debug(summary_ts)
self.assertEqual(summary_ts_last,
arrow.Arrow(2016,5,4,0, tzinfo=tz.gettz(PST)).timestamp) # spans two days in UTC
self.assertEqual(len(summary_ts), 3) # spans two days in UTC
self.assertEqual(summary_ts[0].BICYCLING, 1) # trip leaving India
self.assertEqual(summary_ts[1].BICYCLING, 1) # trip from New York
self.assertEqual(summary_ts[2].BICYCLING, 1) # trip in SF
self.assertEqual(summary_ts[0].local_dt.day, 2) # because it is the second in UTC
self.assertEqual(summary_ts[1].local_dt.day, 3)
self.assertEqual(summary_ts[2].local_dt.day, 4)
self.assertEqual(summary_ts[0].local_dt.hour, 0) # timestamp fills out all vals
self.assertEqual(summary_ts[0].ts, 1462147200) # timestamp for start of 2nd May in UTC
self.assertEqual(summary_ts[1].ts, 1462233600) # timestamp for start of 2nd May in UTC
# There's only one local date, but it starts in IST this time
summary_ld_dict = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, [earmts.get_count])
summary_ld = summary_ld_dict["result"][0]
summary_ld_last = summary_ld_dict["last_ts_processed"]
self.assertEqual(summary_ld_last,
arrow.Arrow(2016,5,4,0, tzinfo=tz.gettz(PST)).timestamp) # spans two days in UTC
self.assertEqual(len(summary_ld), 2) # spans one day + 1 trip at midnight
self.assertEqual(summary_ld[0].BICYCLING, 2) # two plane trips
self.assertEqual(summary_ld[1].BICYCLING, 1) # trip SFO
self.assertEqual(summary_ld[0].ts, 1462213800) # start of the 3rd in IST
self.assertEqual(summary_ld[0].local_dt.day, 3)
self.assertEqual(summary_ld[1].ts, 1462345200) # start of the 4th in IST
self.assertEqual(summary_ld[1].local_dt.day, 4)
def testGroupedByOneLocalDayMultiTzGoingEast(self):
key = (2016, 5, 3)
test_section_list = []
# This is perhaps an extreme use case, but it is actually a fairly
# common one with air travel
# Step 1: user leaves SFO at 1am on the 3rd for JFK on a cross-country flight
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,1, tzinfo=tz.gettz(PST)),
PST))
# cross-country takes 8 hours, so she arrives in New York at 9:00 IST = 12:00am EDT
# (taking into account the time difference)
test_section_list[0]['data'] = self._fillDates(test_section_list[0].data, "end_",
arrow.Arrow(2016,5,3,9,tzinfo=tz.gettz(PST)),
EST)
# Step 2: user leaves JFK for LHR at 1pm EST.
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,13, tzinfo=tz.gettz(EST)),
EST))
# cross-atlantic flight takes 7 hours, so she arrives at LHR at 8:00pm EDT
# = 2am on the 4th local time
test_section_list[1]['data'] = self._fillDates(test_section_list[1].data, "end_",
arrow.Arrow(2016,5,3,21,tzinfo=tz.gettz(EST)),
BST)
# Then, she catches the train from the airport to her hotel in London
# at 3am local time = 9:00pm EST
# So as per local time, this is a new trip
#
# This clearly indicates why we need to use the timezone of the end of
# last section to generate the timestamp for the range. If we use the
# timezone of the beginning of the trip, we will say that the range ends
# at midnight EST. But then it should include the next_day_first_trip,
# which starts at 9pm EST, but it does not.
# So we should use midnight BST instead. Note that midnight BST was
# actually during the trip, but then it is no different from a regular
# trip (in one timezone) where the trip spans the date change
next_day_first_trip = self._createTestSection(
arrow.Arrow(2016,5,4,3, tzinfo=tz.gettz(BST)),
BST)
self._fillModeDistanceDuration(test_section_list)
self._fillModeDistanceDuration([next_day_first_trip])
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
summary = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', earmts.get_count)
logging.debug(summary)
self.assertEqual(len(summary), 2) # spans two days in UTC
self.assertEqual(summary[0].BICYCLING, 2) # trip leaving SFO and JFK
self.assertEqual(summary[1].BICYCLING, 1) # trip in GMT
self.assertEqual(summary[0].local_dt.day, 3) # because it is the second in UTC
self.assertEqual(summary[1].local_dt.day, 4)
self.assertEqual(summary[0].local_dt.hour, 0) # timestamp fills out all vals
self.assertEqual(summary[0].ts, 1462233600) # timestamp for start of 2nd May in UTC
self.assertEqual(summary[1].ts, 1462320000) # timestamp for start of 2nd May in UTC
# There's only one local date, but it starts in IST this time
summary_ld = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, earmts.get_count)
self.assertEqual(len(summary_ld), 2) # spans one day + 1 trip on the next day
self.assertEqual(summary_ld[0].BICYCLING, 2) # two plane trips
self.assertEqual(summary_ld[1].BICYCLING, 1) # trip SFO
self.assertEqual(summary_ld[0].ts, 1462258800) # start of the 3rd in IST
self.assertEqual(summary_ld[0].local_dt.day, 3)
self.assertEqual(summary_ld[1].ts, 1462316400) # start of the 4th in BST
self.assertEqual(summary_ld[1].local_dt.day, 4)
def testGroupedByOneLocalDayMultiTzGoingWest(self):
key = (2016, 5, 3)
test_section_list = []
# This is perhaps an extreme use case, but it is actually a fairly
# common one with air travel
# Step 1: user leaves Delhi at 1am on the 3rd for JFK on the non-stop
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,1, tzinfo=tz.gettz(IST)),
IST))
# non-stop takes 15 hours, so she arrives in New York at 16:00 IST = 6:30am EDT
# (taking into account the time difference)
# Step 2: user leaves JFK for SFO at 7am EST on a non-stop
test_section_list.append(
self._createTestSection(arrow.Arrow(2016,5,3,7, tzinfo=tz.gettz(EST)),
EST))
# Step 3: user starts a trip out of SFO a midnight of the 4th PST
# (earliest possible trip)
# for our timestamp algo to be correct, this has to be after the
# timestamp for the range
next_day_first_trip = self._createTestSection(
arrow.Arrow(2016,5,4,0, tzinfo=tz.gettz(PST)),
PST)
self._fillModeDistanceDuration(test_section_list)
self._fillModeDistanceDuration([next_day_first_trip])
logging.debug("durations = %s" %
[s.data.duration for s in test_section_list])
summary_ts = earmt.group_by_timestamp(self.testUUID,
arrow.Arrow(2016,5,1).timestamp,
arrow.Arrow(2016,6,1).timestamp,
'd', earmts.get_count)
logging.debug(summary_ts)
self.assertEqual(len(summary_ts), 3) # spans two days in UTC
self.assertEqual(summary_ts[0].BICYCLING, 1) # trip leaving India
self.assertEqual(summary_ts[1].BICYCLING, 1) # trip from New York
self.assertEqual(summary_ts[2].BICYCLING, 1) # trip in SF
self.assertEqual(summary_ts[0].local_dt.day, 2) # because it is the second in UTC
self.assertEqual(summary_ts[1].local_dt.day, 3)
self.assertEqual(summary_ts[2].local_dt.day, 4)
self.assertEqual(summary_ts[0].local_dt.hour, 0) # timestamp fills out all vals
self.assertEqual(summary_ts[0].ts, 1462147200) # timestamp for start of 2nd May in UTC
self.assertEqual(summary_ts[1].ts, 1462233600) # timestamp for start of 2nd May in UTC
# There's only one local date, but it starts in IST this time
summary_ld = earmt.group_by_local_date(self.testUUID,
ecwl.LocalDate({'year': 2016, 'month': 5}),
ecwl.LocalDate({'year': 2016, 'month': 6}),
earmt.LocalFreq.DAILY, earmts.get_count)
self.assertEqual(len(summary_ld), 2) # spans one day + 1 trip at midnight
self.assertEqual(summary_ld[0].BICYCLING, 2) # two plane trips
self.assertEqual(summary_ld[1].BICYCLING, 1) # trip SFO
self.assertEqual(summary_ld[0].ts, 1462213800) # start of the 3rd in IST
self.assertEqual(summary_ld[0].local_dt.day, 3)
self.assertEqual(summary_ld[1].ts, 1462345200) # start of the 4th in IST
self.assertEqual(summary_ld[1].local_dt.day, 4)
