view roundup/cgi/ZTUtils/Batch.py @ 5543:bc3e00a3d24b

MySQL backend fixes for Python 3. With Python 2, text sent to and from MySQL is treated as bytes in Python. The database may be recorded by MySQL as having some other encoding (latin1 being the default in some MySQL versions - Roundup does not set an encoding explicitly, unlike in back_postgresql), but as long as MySQL's notion of the connection encoding agrees with its notion of the database encoding, no conversions actually take place and the bytes are stored and returned as-is. With Python 3, text sent to and from MySQL is treated as Python Unicode strings. When the database and connection encoding is latin1, that means the bytes stored in the database under Python 2 are interpreted as latin1 and converted from that to Unicode, producing incorrect results for any non-ASCII characters; furthermore, if trying to store new non-ASCII data in the database under Python 3, any non-latin1 characters produce errors. This patch arranges for both the connection and database character sets to be UTF-8 when using Python 3, and documents a need to export and import the database when moving from Python 2 to Python 3 with this backend.
author Joseph Myers <jsm@polyomino.org.uk>
date Sun, 16 Sep 2018 16:19:20 +0000
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

Roundup Issue Tracker: http://roundup-tracker.org/