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graphmod.py
122 lines | 3.8 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
CHANGESET = 'C'
def revisions(repo, start, stop):
"""cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples
This generator function walks through the revision history from revision
start to revision stop (which must be less than or equal to start). 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.
"""
cur = start
while cur >= stop:
ctx = repo[cur]
parents = [p.rev() for p in ctx.parents() if p.rev() != nullrev]
yield (cur, CHANGESET, ctx, sorted(parents))
cur -= 1
def filerevs(repo, path, start, stop, limit=None):
"""file cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples
This generator function walks through the revision history of a single
file from revision start down to revision stop.
"""
filerev = len(repo.file(path)) - 1
rev = stop + 1
count = 0
while filerev >= 0 and rev > stop:
fctx = repo.filectx(path, fileid=filerev)
parents = [f.linkrev() for f in fctx.parents() if f.path() == path]
rev = fctx.rev()
if rev <= start:
yield (rev, CHANGESET, fctx.changectx(), sorted(parents))
count += 1
if count == limit:
break
filerev -= 1
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 = [p.rev() for p in ctx.parents() if p.node() in include]
yield (ctx.rev(), CHANGESET, ctx, sorted(parents))
def colored(dag):
"""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
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:
edges.append((ecol, next.index(eid), colors[eid]))
elif eid == cur:
for p in parents:
edges.append((ecol, next.index(p), color))
# Yield and move on
yield (cur, type, data, (col, color), edges)
seen = next