hyperstream/tools/splitter_time_aware_from_stream/2016-10-06_v0.0.1.py
# The MIT License (MIT)
# Copyright (c) 2014-2017 University of Bristol
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE
# OR OTHER DEALINGS IN THE SOFTWARE.
from hyperstream.tool import MultiOutputTool
from hyperstream.stream import StreamMetaInstance
from hyperstream.time_interval import TimeInterval, TimeIntervals
import logging
class SplitterTimeAwareFromStream(MultiOutputTool):
def __init__(self):
super(SplitterTimeAwareFromStream, self).__init__()
def _execute(self, source, splitting_stream, interval, meta_data_id, output_plate_values):
# time intervals could be a TimeIntervals object, a list of TimeInterval objects,
# or a list of tuples of plate ids and TimeInterval objects
try:
time_intervals = splitting_stream.window(interval, force_calculation=True).last().value
except AttributeError:
return
mapping = {}
if isinstance(time_intervals, (tuple, list, TimeIntervals)):
for i, el in enumerate(time_intervals):
if isinstance(el, TimeInterval):
pv = str(i + 1)
ti = el
elif isinstance(el, (tuple, list)):
if len(el) != 2 or not isinstance(el[0], str) or not isinstance(el[1], TimeInterval):
raise ValueError("{}: Unknown data format".format(self.name))
pv, ti = el
else:
raise ValueError("{}: Unknown data format".format(self.name))
if ti not in interval:
# This means that the user has requested a time interval of
# calculation that doesn't cover the range of the intervals provided as parameters
logging.warn("{}: Requested interval doesn't cover the range of the intervals provided"
.format(self.name))
continue
if pv in mapping:
raise ValueError("Repeated time intervals for single plate value not currently supported")
mapping[pv] = ti
else:
raise TypeError("Expected [tuple, list, TimeIntervals], got{}".format(type(time_intervals)))
for pv, ti in mapping.items():
found_data = False
for instance in source.window(ti, force_calculation=True):
found_data = True
yield StreamMetaInstance(instance, (meta_data_id, pv))
if not found_data:
logging.debug("{}: no data for source {} with plate value {} and time interval {}"
.format(self.name, source, pv, ti))