Mercurial > p > roundup > code
view roundup/cgi/ZTUtils/Batch.py @ 6593:e70e2789bc2c
issue2551189 - increase text search maxlength
This removes I think all the magic references to 25 and 30 (varchar
size) and replaces them with references to maxlength or maxlength+5.
I am not sure why the db column is 5 characters larger than the size
of what should be the max size of a word, but I'll keep the buffer
of 5 as making it 1/5 the size of maxlength makes less sense.
Also added tests for fts search in templating which were missing.
Added postgres, mysql and sqlite native indexing backends in which to
test fts. Added fts test to native-fts as well to make sure it's
working.
I want to commit this now for CI.
Todo:
add test cases for the use of FTS in the csv output in
actions.py. There is no test coverage of the match case there.
change maxlength to a higher value (50) as requested in the ticket.
Modify existing extremewords test cases to allow words > 25 and < 51
write code to migrate column sizes for mysql and postgresql to match
maxlength I will roll this into the version 7 schema update that
supports use of database fts support.
| author | John Rouillard <rouilj@ieee.org> |
|---|---|
| date | Tue, 25 Jan 2022 13:22:00 -0500 |
| parents | 35ea9b1efc14 |
| children |
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############################################################################## # # Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED # WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS # FOR A PARTICULAR PURPOSE # ############################################################################## __doc__='''Batch class, for iterating over a sequence in batches ''' __docformat__ = 'restructuredtext' class LazyPrevBatch: def __of__(self, parent): return Batch(parent._sequence, parent.size, parent.first - parent._size + parent.overlap, 0, parent.orphan, parent.overlap) class LazyNextBatch: def __of__(self, parent): try: parent._sequence[parent.end] except IndexError: return None return Batch(parent._sequence, parent.size, parent.end - parent.overlap, 0, parent.orphan, parent.overlap) class LazySequenceLength: def __of__(self, parent): parent.sequence_length = l = len(parent._sequence) return l class Batch: """Create a sequence batch""" __allow_access_to_unprotected_subobjects__ = 1 previous = LazyPrevBatch() next = LazyNextBatch() sequence_length = LazySequenceLength() def __init__(self, sequence, size, start=0, end=0, orphan=0, overlap=0): '''Encapsulate "sequence" in batches of "size". Arguments: "start" and "end" are 0-based indexes into the sequence. If the next batch would contain no more than "orphan" elements, it is combined with the current batch. "overlap" is the number of elements shared by adjacent batches. If "size" is not specified, it is computed from "start" and "end". If "size" is 0, it is the length of the sequence. Failing that, it is 7. Attributes: Note that the "start" attribute, unlike the argument, is a 1-based index (I know, lame). "first" is the 0-based index. "length" is the actual number of elements in the batch. "sequence_length" is the length of the original, unbatched, sequence Note: "_size" is the "actual" size used to perform batch calulcations, while "size" is the "representative" size. (ie. a "special value" of "size" used by the templates may translate to a different value for "_size" which is used internally for batch calculations). ''' start = start + 1 start,end,sz = opt(start,end,size,orphan,sequence) self._sequence = sequence self.size = size self._size = sz self.start = start self.end = end self.orphan = orphan self.overlap = overlap self.first = max(start - 1, 0) self.length = self.end - self.first if self.first == 0: self.previous = None def __getitem__(self, index): if index < 0: if index + self.end < self.first: raise IndexError(index) return self._sequence[index + self.end] if index >= self.length: raise IndexError(index) return self._sequence[index + self.first] def __len__(self): return self.length def opt(start,end,size,orphan,sequence): if size < 1: if size == 0: size=len(sequence) elif start > 0 and end > 0 and end >= start: size=end+1-start else: size=7 if start > 0: try: sequence[start-1] except IndexError: start=len(sequence) if end > 0: if end < start: end=start else: end=start+size-1 try: sequence[end+orphan-1] except IndexError: end=len(sequence) elif end > 0: try: sequence[end-1] except IndexError: end=len(sequence) start=end+1-size if start - 1 < orphan: start=1 else: start=1 end=start+size-1 try: sequence[end+orphan-1] except IndexError: end=len(sequence) return start,end,size
