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# Copyright (C) 2005, 2008 Aaron Bentley
# <aaron@aaronbentley.com>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
import time
from bzrlib.branch import Branch
from bzrlib.errors import BzrCommandError, NoSuchRevision
from bzrlib.revision import NULL_REVISION
from bzrtools import short_committer
from dotgraph import (
dot_output,
DOT_OUTPUT_TYPES,
Edge,
invoke_dot,
invoke_dot_aa,
invoke_dot_html,
Node,
NoDot,
NoRsvg,
RSVG_OUTPUT_TYPES,
)
def max_distance(node, ancestors, distances, root_descendants):
"""Calculate the max distance to an ancestor.
Return None if not all possible ancestors have known distances"""
best = None
if node in distances:
best = distances[node]
for ancestor in ancestors[node]:
# skip ancestors we will never traverse:
if root_descendants is not None and ancestor not in root_descendants:
continue
# An ancestor which is not listed in ancestors will never be in
# distances, so we pretend it never existed.
if ancestor not in ancestors:
continue
if ancestor not in distances:
return None
if best is None or distances[ancestor]+1 > best:
best = distances[ancestor] + 1
return best
def node_distances(graph, ancestors, start, root_descendants=None):
"""Produce a list of nodes, sorted by distance from a start node.
This is an algorithm devised by Aaron Bentley, because applying Dijkstra
backwards seemed too complicated.
For each node, we walk its descendants. If all the descendant's ancestors
have a max-distance-to-start, (excluding ones that can never reach start),
we calculate their max-distance-to-start, and schedule their descendants.
So when a node's last parent acquires a distance, it will acquire a
distance on the next iteration.
Once we know the max distances for all nodes, we can return a list sorted
by distance, farthest first.
"""
distances = {start: 0}
lines = set([start])
while len(lines) > 0:
new_lines = set()
for line in lines:
line_descendants = graph[line]
for descendant in line_descendants:
distance = max_distance(descendant, ancestors, distances,
root_descendants)
if distance is None:
continue
distances[descendant] = distance
new_lines.add(descendant)
lines = new_lines
return distances
def nodes_by_distance(distances):
"""Return a list of nodes sorted by distance"""
def by_distance(n):
return distances[n],n
node_list = distances.keys()
node_list.sort(key=by_distance, reverse=True)
return node_list
def select_farthest(distances, common):
"""Return the farthest common node, or None if no node qualifies."""
node_list = nodes_by_distance(distances)
for node in node_list:
if node in common:
return node
mail_map = {'aaron.bentley@utoronto.ca' : 'Aaron Bentley',
'abentley@panoramicfeedback.com': 'Aaron Bentley',
'abentley@lappy' : 'Aaron Bentley',
'john@arbash-meinel.com' : 'John Arbash Meinel',
'mbp@sourcefrog.net' : 'Martin Pool',
'robertc@robertcollins.net' : 'Robert Collins',
}
committer_alias = {'abentley': 'Aaron Bentley'}
def can_skip(rev_id, descendants, ancestors):
if rev_id not in descendants:
return False
elif rev_id not in ancestors:
return False
elif len(ancestors[rev_id]) != 1:
return False
elif len(descendants[list(ancestors[rev_id])[0]]) != 1:
return False
elif len(descendants[rev_id]) != 1:
return False
else:
return True
def compact_ancestors(descendants, ancestors, exceptions=()):
new_ancestors={}
skip = set()
for me, my_parents in ancestors.iteritems():
if me in skip:
continue
new_ancestors[me] = {}
for parent in my_parents:
new_parent = parent
distance = 0
while can_skip(new_parent, descendants, ancestors):
if new_parent in exceptions:
break
skip.add(new_parent)
if new_parent in new_ancestors:
del new_ancestors[new_parent]
new_parent = list(ancestors[new_parent])[0]
distance += 1
new_ancestors[me][new_parent] = distance
return new_ancestors
def get_rev_info(rev_id, source):
"""Return the committer, message, nick and date of a revision."""
committer = None
message = None
date = None
nick = None
if rev_id == 'null:':
return None, 'Null Revision', None, None
try:
rev = source.get_revision(rev_id)
except NoSuchRevision:
try:
committer = '-'.join(rev_id.split('-')[:-2]).strip(' ')
if committer == '':
return None, None, None, None
except ValueError:
return None, None, None, None
else:
committer = short_committer(rev.committer)
if rev.message is not None:
message = rev.message.split('\n')[0]
gmtime = time.gmtime(rev.timestamp + (rev.timezone or 0))
date = time.strftime('%Y/%m/%d', gmtime)
nick = rev.properties.get('branch-nick')
if '@' in committer:
try:
committer = mail_map[committer]
except KeyError:
pass
try:
committer = committer_alias[committer]
except KeyError:
pass
return committer, message, nick, date
class Grapher(object):
def __init__(self, branch, other_branch=None):
object.__init__(self)
self.branch = branch
self.other_branch = other_branch
if other_branch is not None:
other_repo = other_branch.repository
revision_b = self.other_branch.last_revision()
else:
other_repo = None
revision_b = None
self.graph = self.branch.repository.get_graph(other_repo)
revision_a = self.branch.last_revision()
self.scan_graph(revision_a, revision_b)
self.n_history = branch.revision_history()
self.n_revnos = branch.get_revision_id_to_revno_map()
self.distances = node_distances(self.descendants, self.ancestors,
self.root)
if other_branch is not None:
self.base = select_farthest(self.distances, self.common)
self.m_history = other_branch.revision_history()
self.m_revnos = other_branch.get_revision_id_to_revno_map()
self.new_base = self.graph.find_unique_lca(revision_a,
revision_b)
self.lcas = self.graph.find_lca(revision_a, revision_b)
else:
self.base = None
self.new_base = None
self.lcas = set()
self.m_history = []
self.m_revnos = {}
def scan_graph(self, revision_a, revision_b):
a_ancestors = dict(self.graph.iter_ancestry([revision_a]))
self.ancestors = a_ancestors
self.root = NULL_REVISION
if revision_b is not None:
b_ancestors = dict(self.graph.iter_ancestry([revision_b]))
self.common = set(a_ancestors.keys())
self.common.intersection_update(b_ancestors)
self.ancestors.update(b_ancestors)
else:
self.common = []
revision_b = None
self.descendants = {}
ghosts = set()
for revision, parents in self.ancestors.iteritems():
self.descendants.setdefault(revision, [])
if parents is None:
ghosts.add(revision)
parents = [NULL_REVISION]
for parent in parents:
self.descendants.setdefault(parent, []).append(revision)
for ghost in ghosts:
self.ancestors[ghost] = [NULL_REVISION]
@staticmethod
def _get_revno_str(prefix, revno_map, revision_id):
try:
revno = revno_map[revision_id]
except KeyError:
return None
return '%s%s' % (prefix, '.'.join(str(n) for n in revno))
def dot_node(self, node, num):
try:
n_rev = self.n_history.index(node) + 1
except ValueError:
n_rev = None
try:
m_rev = self.m_history.index(node) + 1
except ValueError:
m_rev = None
if (n_rev, m_rev) == (None, None):
name = self._get_revno_str('r', self.n_revnos, node)
if name is None:
name = self._get_revno_str('R', self.m_revnos, node)
if name is None:
name = node[-5:]
cluster = None
elif n_rev == m_rev:
name = "rR%d" % n_rev
else:
namelist = []
for prefix, revno in (('r', n_rev), ('R', m_rev)):
if revno is not None:
namelist.append("%s%d" % (prefix, revno))
name = ' '.join(namelist)
if None not in (n_rev, m_rev):
cluster = "common_history"
color = "#ff9900"
elif (None, None) == (n_rev, m_rev):
cluster = None
if node in self.common:
color = "#6699ff"
else:
color = "white"
elif n_rev is not None:
cluster = "my_history"
color = "#ffff00"
else:
assert m_rev is not None
cluster = "other_history"
color = "#ff0000"
if node in self.lcas:
color = "#9933cc"
if node == self.base:
color = "#669933"
if node == self.new_base:
color = "#33ff33"
if node == self.new_base:
color = '#33cc99'
label = [name]
committer, message, nick, date = get_rev_info(node,
self.branch.repository)
if committer is not None:
label.append(committer)
if nick is not None:
label.append(nick)
if date is not None:
label.append(date)
if node in self.distances:
rank = self.distances[node]
label.append('d%d' % self.distances[node])
else:
rank = None
d_node = Node("n%d" % num, color=color, label="\\n".join(label),
rev_id=node, cluster=cluster, message=message,
date=date)
d_node.rank = rank
if node not in self.ancestors:
d_node.node_style.append('dotted')
return d_node
def get_relations(self, collapse=False, max_distance=None):
dot_nodes = {}
node_relations = []
num = 0
if collapse:
exceptions = self.lcas.union([self.base, self.new_base])
visible_ancestors = compact_ancestors(self.descendants,
self.ancestors,
exceptions)
else:
visible_ancestors = {}
for revision, parents in self.ancestors.iteritems():
visible_ancestors[revision] = dict((p, 0) for p in parents)
if max_distance is not None:
min_distance = max(self.distances.values()) - max_distance
visible_ancestors = dict((n, p) for n, p in
visible_ancestors.iteritems() if
self.distances[n] >= min_distance)
for node, parents in visible_ancestors.iteritems():
if node not in dot_nodes:
dot_nodes[node] = self.dot_node(node, num)
num += 1
for parent, skipped in parents.iteritems():
if parent not in dot_nodes:
dot_nodes[parent] = self.dot_node(parent, num)
num += 1
edge = Edge(dot_nodes[parent], dot_nodes[node])
if skipped != 0:
edge.label = "%d" % skipped
node_relations.append(edge)
return node_relations
def write_ancestry_file(branch, filename, collapse=True, antialias=True,
merge_branch=None, ranking="forced", max_distance=None):
b = Branch.open_containing(branch)[0]
if merge_branch is not None:
m = Branch.open_containing(merge_branch)[0]
else:
m = None
b.lock_write()
try:
if m is not None:
m.lock_read()
try:
grapher = Grapher(b, m)
relations = grapher.get_relations(collapse, max_distance)
finally:
if m is not None:
m.unlock()
finally:
b.unlock()
ext = filename.split('.')[-1]
output = dot_output(relations, ranking)
done = False
if ext not in RSVG_OUTPUT_TYPES:
antialias = False
if antialias:
output = list(output)
try:
invoke_dot_aa(output, filename, ext)
done = True
except NoDot, e:
raise BzrCommandError("Can't find 'dot'. Please ensure Graphviz"\
" is installed correctly.")
except NoRsvg, e:
print "Not antialiasing because rsvg (from librsvg-bin) is not"\
" installed."
antialias = False
if ext in DOT_OUTPUT_TYPES and not antialias and not done:
try:
invoke_dot(output, filename, ext)
done = True
except NoDot, e:
raise BzrCommandError("Can't find 'dot'. Please ensure Graphviz"\
" is installed correctly.")
elif ext == 'dot' and not done:
my_file = file(filename, 'wb')
for fragment in output:
my_file.write(fragment.encode('utf-8'))
elif ext == 'html':
try:
invoke_dot_html(output, filename)
except NoDot, e:
raise BzrCommandError("Can't find 'dot'. Please ensure Graphviz"\
" is installed correctly.")
elif not done:
print "Unknown file extension: %s" % ext
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