# 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, incorporated herein by reference. """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 thecontext 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): """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 while filerev >= 0: 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, sorted(parents)) if rev <= stop: 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), colors[p])) # Yield and move on yield (cur, type, data, (col, color), edges) seen = next
# 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, incorporated herein by reference.
"""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):
"""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
while filerev >= 0:
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, sorted(parents))
if rev <= stop:
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), colors[p]))
# Yield and move on
yield (cur, type, data, (col, color), edges)
seen = next