def _run_metis(self, start_time, end_time, unique_id=None):
start_time = datetime_to_kronos_time(start_time)
end_time = datetime_to_kronos_time(end_time)
q = create_metis_query_plan(self._query, start_time, end_time)
r = requests.post("%s/1.0/query" % self._app.config['METIS_URL'],
data=q)
return json.loads('[%s]' % (',').join(r.text.splitlines()))
def _get_timeframe_bounds(self, timeframe, bucket_width):
"""
Get a `bucket_width` aligned `start_time` and `end_time` from a
`timeframe` dict
"""
if bucket_width:
bucket_width_seconds = bucket_width
bucket_width = epoch_time_to_kronos_time(bucket_width)
# TODO(derek): Potential optimization by setting the end_time equal to the
# untrusted_time if end_time > untrusted_time and the results are not being
# output to the user (only for caching)
if timeframe['mode']['value'] == 'recent':
# Set end_time equal to now and align to bucket width
end_time = datetime_to_kronos_time(datetime.datetime.now())
original_end_time = end_time
duration = get_seconds(timeframe['value'],
timeframe['scale']['name'])
duration = epoch_time_to_kronos_time(duration)
start_time = original_end_time - duration
if bucket_width:
# Align values to the bucket width
# TODO(derek): Warn the user that the timeframe has been altered to fit
# the bucket width
if (end_time % bucket_width) != 0:
end_time += bucket_width - (end_time % bucket_width)
if (start_time % bucket_width) != 0:
start_time -= (start_time % bucket_width)
start = kronos_time_to_datetime(start_time)
end = kronos_time_to_datetime(end_time)
elif timeframe['mode']['value'] == 'range':
end = datetime.datetime.strptime(timeframe['to'], DT_FORMAT)
end_seconds = datetime_to_epoch_time(end)
start = datetime.datetime.strptime(timeframe['from'], DT_FORMAT)
start_seconds = datetime_to_epoch_time(start)
if bucket_width:
# Align values to the bucket width
# TODO(derek): Warn the user that the timeframe has been altered to fit
# the bucket width
start_bump = start_seconds % bucket_width_seconds
start -= datetime.timedelta(seconds=start_bump)
if (end_seconds % bucket_width_seconds) != 0:
end_bump = bucket_width_seconds - (end_seconds %
bucket_width_seconds)
end += datetime.timedelta(seconds=end_bump)
else:
raise ValueError("Timeframe mode must be 'recent' or 'range'")
return start, end
def _get_timeframe_bounds(self, timeframe, bucket_width):
"""
Get a `bucket_width` aligned `start_time` and `end_time` from a
`timeframe` dict
"""
if bucket_width:
bucket_width_seconds = bucket_width
bucket_width = epoch_time_to_kronos_time(bucket_width)
# TODO(derek): Potential optimization by setting the end_time equal to the
# untrusted_time if end_time > untrusted_time and the results are not being
# output to the user (only for caching)
if timeframe['mode']['value'] == 'recent':
# Set end_time equal to now and align to bucket width
end_time = datetime_to_kronos_time(datetime.datetime.now())
original_end_time = end_time
duration = get_seconds(timeframe['value'], timeframe['scale']['name'])
duration = epoch_time_to_kronos_time(duration)
start_time = original_end_time - duration
if bucket_width:
# Align values to the bucket width
# TODO(derek): Warn the user that the timeframe has been altered to fit
# the bucket width
if (end_time % bucket_width) != 0:
end_time += bucket_width - (end_time % bucket_width)
if (start_time % bucket_width) != 0:
start_time -= (start_time % bucket_width)
start = kronos_time_to_datetime(start_time)
end = kronos_time_to_datetime(end_time)
elif timeframe['mode']['value'] == 'range':
end = datetime.datetime.strptime(timeframe['to'], DT_FORMAT)
end_seconds = datetime_to_epoch_time(end)
start = datetime.datetime.strptime(timeframe['from'], DT_FORMAT)
start_seconds = datetime_to_epoch_time(start)
if bucket_width:
# Align values to the bucket width
# TODO(derek): Warn the user that the timeframe has been altered to fit
# the bucket width
start_bump = start_seconds % bucket_width_seconds
start -= datetime.timedelta(seconds=start_bump)
if (end_seconds % bucket_width_seconds) != 0:
end_bump = bucket_width_seconds - (end_seconds % bucket_width_seconds)
end += datetime.timedelta(seconds=end_bump)
else:
raise ValueError("Timeframe mode must be 'recent' or 'range'")
return start, end
def _run_metis(self, start_time, end_time, unique_id=None):
start_time = datetime_to_kronos_time(start_time)
end_time = datetime_to_kronos_time(end_time)
q = create_metis_query_plan(self._query, start_time, end_time)
r = requests.post("%s/1.0/query" % self._app.config['METIS_URL'], data=q)
return json.loads('[%s]' % (',').join(r.text.splitlines()))