##// END OF EJS Templates
revset: add a predicate for finding converted changesets...
revset: add a predicate for finding converted changesets This selects changesets added because of repo conversions. For example hg log -r "converted()" # all csets created by a convertion hg log -r "converted(rev)" # the cset converted from rev in the src repo The converted(rev) form is analogous to remote(id), where the remote repo is the source of the conversion. This can be useful for cross referencing an old repository into the current one. The source revision may be the short changeset hash or the full hash from the source repository. The local identifier isn't useful. An interesting ramification of this is if a short revision is specified, it may cause more than one changeset to be selected. (e.g. converted(6) matches changesets with a convert_revision field of 6e..e and 67..0) The convert.hg.saverev option must have been specified when converting the hg source repository for this to work. The other sources automatically embed the converted marker.

File last commit:

r16138:6e4de55a default
r17002:0eb52262 default
Show More
graphmod.py
165 lines | 5.0 KiB | text/x-python | PythonLexer
# Revision graph generator for Mercurial
#
# Copyright 2008 Dirkjan Ochtman <dirkjan@ochtman.nl>
# Copyright 2007 Joel Rosdahl <joel@rosdahl.net>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
"""supports walking the history as DAGs suitable for graphical output
The most basic format we use is that of::
(id, type, data, [parentids])
The node and parent ids are arbitrary integers which identify a node in the
context of the graph returned. Type is a constant specifying the node type.
Data depends on type.
"""
from mercurial.node import nullrev
import util
CHANGESET = 'C'
def dagwalker(repo, revs):
"""cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples
This generator function walks through revisions (which should be ordered
from bigger to lower). It returns a tuple for each node. The node and parent
ids are arbitrary integers which identify a node in the context of the graph
returned.
"""
if not revs:
return
cl = repo.changelog
lowestrev = min(revs)
gpcache = {}
knownrevs = set(revs)
for rev in revs:
ctx = repo[rev]
parents = sorted(set([p.rev() for p in ctx.parents()
if p.rev() in knownrevs]))
mpars = [p.rev() for p in ctx.parents() if
p.rev() != nullrev and p.rev() not in parents]
for mpar in mpars:
gp = gpcache.get(mpar)
if gp is None:
gp = gpcache[mpar] = grandparent(cl, lowestrev, revs, mpar)
if not gp:
parents.append(mpar)
else:
parents.extend(g for g in gp if g not in parents)
yield (ctx.rev(), CHANGESET, ctx, parents)
def nodes(repo, nodes):
"""cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples
This generator function walks the given nodes. It only returns parents
that are in nodes, too.
"""
include = set(nodes)
for node in nodes:
ctx = repo[node]
parents = set([p.rev() for p in ctx.parents() if p.node() in include])
yield (ctx.rev(), CHANGESET, ctx, sorted(parents))
def colored(dag, repo):
"""annotates a DAG with colored edge information
For each DAG node this function emits tuples::
(id, type, data, (col, color), [(col, nextcol, color)])
with the following new elements:
- Tuple (col, color) with column and color index for the current node
- A list of tuples indicating the edges between the current node and its
parents.
"""
seen = []
colors = {}
newcolor = 1
config = {}
for key, val in repo.ui.configitems('graph'):
if '.' in key:
branch, setting = key.rsplit('.', 1)
# Validation
if setting == "width" and val.isdigit():
config.setdefault(branch, {})[setting] = int(val)
elif setting == "color" and val.isalnum():
config.setdefault(branch, {})[setting] = val
if config:
getconf = util.lrucachefunc(
lambda rev: config.get(repo[rev].branch(), {}))
else:
getconf = lambda rev: {}
for (cur, type, data, parents) in dag:
# Compute seen and next
if cur not in seen:
seen.append(cur) # new head
colors[cur] = newcolor
newcolor += 1
col = seen.index(cur)
color = colors.pop(cur)
next = seen[:]
# Add parents to next
addparents = [p for p in parents if p not in next]
next[col:col + 1] = addparents
# Set colors for the parents
for i, p in enumerate(addparents):
if not i:
colors[p] = color
else:
colors[p] = newcolor
newcolor += 1
# Add edges to the graph
edges = []
for ecol, eid in enumerate(seen):
if eid in next:
bconf = getconf(eid)
edges.append((
ecol, next.index(eid), colors[eid],
bconf.get('width', -1),
bconf.get('color', '')))
elif eid == cur:
for p in parents:
bconf = getconf(p)
edges.append((
ecol, next.index(p), color,
bconf.get('width', -1),
bconf.get('color', '')))
# Yield and move on
yield (cur, type, data, (col, color), edges)
seen = next
def grandparent(cl, lowestrev, roots, head):
"""Return all ancestors of head in roots which revision is
greater or equal to lowestrev.
"""
pending = set([head])
seen = set()
kept = set()
llowestrev = max(nullrev, lowestrev)
while pending:
r = pending.pop()
if r >= llowestrev and r not in seen:
if r in roots:
kept.add(r)
else:
pending.update([p for p in cl.parentrevs(r)])
seen.add(r)
return sorted(kept)