IRC-SPHERE/HyperStream

# 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
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from hyperstream.tool import Tool, check_input_stream_count
from collections import defaultdict
from hyperstream.stream import StreamInstance


class RelativeApply(Tool):
    def __init__(self, func):
        super(RelativeApply, self).__init__(func=func)
        self.func = func
    
    @check_input_stream_count(1)
    def _execute(self, sources, alignment_stream, interval):
        for tt, rows in sources[0].window(interval, force_calculation=True):
            vals = defaultdict(list)
            
            for row in rows:
                try:
                    for kk, vv in iter(row.value):
                        if isinstance(vv, (int, float)):
                            vals[kk].append(vv)
                except AttributeError:
                    # This is not iterable, try to apply directly here
                    if isinstance(row, (int, float)):
                        vals[None].append(row)

            if len(vals) == 1 and None in vals:
                result = self.func(iter(vals[None]))
            else:
                result = {}
                for kk, vv in iter(vals):
                    x = self.func(vv)
                    if x is not None:
                        result[kk] = x
                # result = {kk: self.func(vv) for kk, vv in iter(vals)}
            if result is not None:
                yield StreamInstance(tt, result)