mirror of
https://github.com/wassname/catalyst.git
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Eddie Hebert
b4959e46cf
Use the six module to import functions and types that are consistent between Python 2 and 3, so that one code base can support both versions. - Use integer types instead of int and long. - Use string_types instead of basestring. - Account for iteritems, itervalues, iterkeys. - Use six.moves for filter and zip, reduce - Use compatible bytes for md5 hasher. - xrange and range
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
#
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# Copyright 2013 Quantopian, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import heapq
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from six.moves import reduce
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def _decorate_source(source):
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for message in source:
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yield ((message.dt, message.source_id), message)
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def date_sorted_sources(*sources):
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"""
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Takes an iterable of sources, generating namestrings and
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piping their output into date_sort.
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"""
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sorted_stream = heapq.merge(*(_decorate_source(s) for s in sources))
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# Strip out key decoration
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for _, message in sorted_stream:
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yield message
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def sequential_transforms(stream_in, *transforms):
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"""
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Apply each transform in transforms sequentially to each event in stream_in.
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Each transform application will add a new entry indexed to the transform's
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hash string.
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"""
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# Recursively apply all transforms to the stream.
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stream_out = reduce(lambda stream, tnfm: tnfm.transform(stream),
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transforms,
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stream_in)
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return stream_out
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def alias_dt(stream_in):
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"""
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Alias the dt field to datetime on each message.
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"""
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for message in stream_in:
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message['datetime'] = message['dt']
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yield message
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