view roundup/cgi/ZTUtils/Batch.py @ 7399:deb8e7e6d66d

Skip redis tests if unable to communicate with the server. If the redis module is in the test environment, the redis tests will not be skipped. If connecting to redis during testing fails with a ConnectionError because there is no redis server at localhost, or if it fails with an AuthenticationError, you would fail a slew of tests. This causes the tests to report as skipped if either of the two errors occurs. It is very inefficient as it fails in setup() for the tests, but at least it does report skipping the tests. Also documented how to pass the redis password to the tests in the test part of the install docs. Future note: running tests needs proper docs in development.txt (including database setup) and a link left to that doc in installation.txt.
author John Rouillard <rouilj@ieee.org>
date Wed, 24 May 2023 12:52:53 -0400
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

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