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[pysize.git] / pysize / core / pysize_fs_tree.py
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1 # This program is free software; you can redistribute it and/or modify
2 # it under the terms of the GNU General Public License as published by
3 # the Free Software Foundation; either version 2 of the License, or
4 # (at your option) any later version.
6 # This program is distributed in the hope that it will be useful,
7 # but WITHOUT ANY WARRANTY; without even the implied warranty of
8 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
9 # GNU Library General Public License for more details.
11 # You should have received a copy of the GNU General Public License
12 # along with this program; if not, write to the Free Software
13 # Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
15 # See the COPYING file for license information.
17 # Copyright (c) 2006, 2007, 2008 Guillaume Chazarain <guichaz@yahoo.fr>
19 from pysize.core import compute_size
20 from pysize.core.pysize_fs_node import create_node
21 from pysize.core.exception_propagation import unexpect
23 # http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/231503
24 # By David Eppstein
25 def _breadth_first(tree, children=iter):
26 """Traverse the nodes of a tree in breadth-first order.
27 The first argument should be the tree root; children
28 should be a function taking as argument a tree node and
29 returning an iterator of the node's children.
30 """
31 yield tree
32 last = tree
33 for node in _breadth_first(tree, children):
34 for child in children(node):
35 yield child
36 last = child
37 if last is node:
38 return
40 class pysize_tree(object):
41 """The entry point to a tree of pysize_node.
42 min_size < 1.0 => ratio to total size."""
43 @unexpect(OSError)
44 def __init__(self, paths, max_depth, min_size, options):
45 self.fullpaths = paths
46 auto_min_size = min_size <= 1.0
47 estimated_size = compute_size.slow_sum(paths, options.cross_device)
48 if auto_min_size:
49 min_size_ratio = min_size
50 min_size = estimated_size * min_size_ratio
51 self.root = create_node(None, paths, paths, max_depth, min_size,
52 options)
53 if auto_min_size and estimated_size != self.root.size:
54 estimated_size = self.root.size
55 min_size = estimated_size * min_size_ratio
56 self.root = create_node(None, paths, paths, max_depth, min_size,
57 options)
58 self.height = self.root.compute_height()
60 def get_next_sibling(self, node):
61 """Return the next pysize_node in node's level."""
62 is_next = False
63 for child in self.breadth_first():
64 if is_next:
65 if child.compute_depth() == node.compute_depth():
66 return child
67 return
68 is_next = child is node
70 def get_previous_sibling(self, node):
71 """Return the previous pysize_node in node's level."""
72 prev = None
73 for child in self.breadth_first():
74 if child == node:
75 if prev.compute_depth() == node.compute_depth():
76 return prev
77 return
78 prev = child
80 def get_first_child(self, node):
81 """Return the first pysize_node in node's children."""
82 if node.children:
83 return node.children[0]
85 def get_parent(self, node):
86 """Return the saved parent of node."""
87 return node.parent
89 def breadth_first(self):
90 """Iterate over the nodes in breadth first order."""
91 return _breadth_first(self.root, lambda c: c.children)