def cache_script_is_due(self):
if self.script_run_next_opportunity:
return True
if self.script_last_run_started is None:
return True
if not (0 < self.script_times_to_run_per_day <= (24 * 60)):
return False
minutes_between_scripts = (
(60 * 24) // self.script_times_to_run_per_day)
current_time = dates.utc_now()
minutes_since_midnight = (
60 * current_time.hour + current_time.minute)
script_should_run_at_minutes = (
minutes_since_midnight -
(minutes_since_midnight % minutes_between_scripts))
script_should_run_at = current_time.replace(
hour=script_should_run_at_minutes // 60,
minute=script_should_run_at_minutes % 60)
return (
script_should_run_at > dates.to_utc(self.script_last_run_started))
def test_naive_date_becomes_utc(self):
d = datetime.datetime(2012, 11, 13, 12, 00)
u = dates.to_utc(d)
self.assertRaises(TypeError, lambda: d == u)
self.assertEquals(u.tzinfo, dates.UTC)
self.assertEquals(d.utctimetuple(), u.timetuple())
def timeseries(self, location_id, start_datetime=None, end_datetime=None):
try:
jdbc_result = self.jdbc_source.get_timeseries(
self._choices_made['filter'],
location_id,
self._choices_made['parameter'],
start_datetime,
end_datetime)
except Exception as e:
logger.warn("Oh no, an exception: {0}:".format(e))
# Timeouts and such
jdbc_result = []
series_name = self.cached_unit()
dataframe = timeseries.DataFrame({
series_name: timeseries.Series(dict(
(dates.to_utc(point['time']), point['value'])
for point in jdbc_result))})
return timeseries.Timeseries(dataframe)
def test_utc_unchanged(self):
d = datetime.datetime(
2012, 11, 13, 12, 00,
tzinfo=dates.UTC)
u = dates.to_utc(d)
self.assertEquals(d, u)
def test_other_timezone_becomes_utc(self):
d = datetime.datetime(
2012, 11, 13, 12, 00,
tzinfo=pytz.timezone('Europe/Amsterdam'))
u = dates.to_utc(d)
self.assertEquals(u.tzinfo, dates.UTC)