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Greatly reduce the delay at the end of a bulk metadata edit operation that operates on a very large number (thousands) of books

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Kovid Goyal 2011-12-05 11:11:47 +05:30
parent 7eb2914c67
commit a78aa3e12a
1 changed files with 9 additions and 3 deletions
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12
src/calibre/gui2/library/views.py
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@ -5,8 +5,9 @@ __license__ = 'GPL v3'
__copyright__ = '2010, Kovid Goyal <kovid@kovidgoyal.net>' __copyright__ = '2010, Kovid Goyal <kovid@kovidgoyal.net>'
__docformat__ = 'restructuredtext en' __docformat__ = 'restructuredtext en'
import os import os, itertools, operator
from functools import partial from functools import partial
from future_builtins import map
from PyQt4.Qt import (QTableView, Qt, QAbstractItemView, QMenu, pyqtSignal, from PyQt4.Qt import (QTableView, Qt, QAbstractItemView, QMenu, pyqtSignal,
QModelIndex, QIcon, QItemSelection, QMimeData, QDrag, QApplication, QModelIndex, QIcon, QItemSelection, QMimeData, QDrag, QApplication,
@ -793,8 +794,13 @@ class BooksView(QTableView): # {{{
sel = QItemSelection() sel = QItemSelection()
m = self.model() m = self.model()
max_col = m.columnCount(QModelIndex()) - 1 max_col = m.columnCount(QModelIndex()) - 1
for row in rows: # Create a range based selector for each set of contiguous rows
sel.select(m.index(row, 0), m.index(row, max_col)) # as supplying selectors for each individual row causes very poor
# performance if a large number of rows has to be selected.
for k, g in itertools.groupby(enumerate(rows), lambda (i,x):i-x):
group = list(map(operator.itemgetter(1), g))
sel.merge(QItemSelection(m.index(min(group), 0),
m.index(max(group), max_col)), sm.Select)
sm.select(sel, sm.ClearAndSelect) sm.select(sel, sm.ClearAndSelect)
def get_selected_ids(self): def get_selected_ids(self):