Mercurial > hg
view mercurial/graphmod.py @ 22304:5678b0e3608f
templater: enable alias predicates to be used in "revset()" function
Before this patch, predicates defined in "[revsetalias]" can't be used
in the query specified to template function "revset()", because:
- "revset()" uses "localrepository.revs()" to get query result, but
- "localrepository.revs()" passes "None" as "ui" to "revset.match()", then
- "revset.match()" can't recognize any alias predicates
To enable alias predicates to be used in "revset()" function, this
patch invokes "revset.match()" directly with "repo.ui".
This patch doesn't make "localrepository.revs()" pass "self.ui" to
"revset.match()", because this may be intentional implementation to
prevent alias predicates from shadowing built-in ones and breaking
functions internally using "localrepository.revs()".
Even if it isn't intentional one, the check for shadowing should be
implemented (maybe on default branch) before fixing it for safety.
author | FUJIWARA Katsunori <foozy@lares.dti.ne.jp> |
---|---|
date | Sat, 23 Aug 2014 21:23:02 +0900 |
parents | e87bd3485a07 |
children | 890e874cacb6 |
line wrap: on
line source
# 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 = revs.min() gpcache = {} knownrevs = revs.set() 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) def asciiedges(type, char, lines, seen, rev, parents): """adds edge info to changelog DAG walk suitable for ascii()""" if rev not in seen: seen.append(rev) nodeidx = seen.index(rev) knownparents = [] newparents = [] for parent in parents: if parent in seen: knownparents.append(parent) else: newparents.append(parent) ncols = len(seen) nextseen = seen[:] nextseen[nodeidx:nodeidx + 1] = newparents edges = [(nodeidx, nextseen.index(p)) for p in knownparents if p != nullrev] while len(newparents) > 2: # ascii() only knows how to add or remove a single column between two # calls. Nodes with more than two parents break this constraint so we # introduce intermediate expansion lines to grow the active node list # slowly. edges.append((nodeidx, nodeidx)) edges.append((nodeidx, nodeidx + 1)) nmorecols = 1 yield (type, char, lines, (nodeidx, edges, ncols, nmorecols)) char = '\\' lines = [] nodeidx += 1 ncols += 1 edges = [] del newparents[0] if len(newparents) > 0: edges.append((nodeidx, nodeidx)) if len(newparents) > 1: edges.append((nodeidx, nodeidx + 1)) nmorecols = len(nextseen) - ncols seen[:] = nextseen yield (type, char, lines, (nodeidx, edges, ncols, nmorecols)) def _fixlongrightedges(edges): for (i, (start, end)) in enumerate(edges): if end > start: edges[i] = (start, end + 1) def _getnodelineedgestail( node_index, p_node_index, n_columns, n_columns_diff, p_diff, fix_tail): if fix_tail and n_columns_diff == p_diff and n_columns_diff != 0: # Still going in the same non-vertical direction. if n_columns_diff == -1: start = max(node_index + 1, p_node_index) tail = ["|", " "] * (start - node_index - 1) tail.extend(["/", " "] * (n_columns - start)) return tail else: return ["\\", " "] * (n_columns - node_index - 1) else: return ["|", " "] * (n_columns - node_index - 1) def _drawedges(edges, nodeline, interline): for (start, end) in edges: if start == end + 1: interline[2 * end + 1] = "/" elif start == end - 1: interline[2 * start + 1] = "\\" elif start == end: interline[2 * start] = "|" else: if 2 * end >= len(nodeline): continue nodeline[2 * end] = "+" if start > end: (start, end) = (end, start) for i in range(2 * start + 1, 2 * end): if nodeline[i] != "+": nodeline[i] = "-" def _getpaddingline(ni, n_columns, edges): line = [] line.extend(["|", " "] * ni) if (ni, ni - 1) in edges or (ni, ni) in edges: # (ni, ni - 1) (ni, ni) # | | | | | | | | # +---o | | o---+ # | | c | | c | | # | |/ / | |/ / # | | | | | | c = "|" else: c = " " line.extend([c, " "]) line.extend(["|", " "] * (n_columns - ni - 1)) return line def asciistate(): """returns the initial value for the "state" argument to ascii()""" return [0, 0] def ascii(ui, state, type, char, text, coldata): """prints an ASCII graph of the DAG takes the following arguments (one call per node in the graph): - ui to write to - Somewhere to keep the needed state in (init to asciistate()) - Column of the current node in the set of ongoing edges. - Type indicator of node data, usually 'C' for changesets. - Payload: (char, lines): - Character to use as node's symbol. - List of lines to display as the node's text. - Edges; a list of (col, next_col) indicating the edges between the current node and its parents. - Number of columns (ongoing edges) in the current revision. - The difference between the number of columns (ongoing edges) in the next revision and the number of columns (ongoing edges) in the current revision. That is: -1 means one column removed; 0 means no columns added or removed; 1 means one column added. """ idx, edges, ncols, coldiff = coldata assert -2 < coldiff < 2 if coldiff == -1: # Transform # # | | | | | | # o | | into o---+ # |X / |/ / # | | | | _fixlongrightedges(edges) # add_padding_line says whether to rewrite # # | | | | | | | | # | o---+ into | o---+ # | / / | | | # <--- padding line # o | | | / / # o | | add_padding_line = (len(text) > 2 and coldiff == -1 and [x for (x, y) in edges if x + 1 < y]) # fix_nodeline_tail says whether to rewrite # # | | o | | | | o | | # | | |/ / | | |/ / # | o | | into | o / / # <--- fixed nodeline tail # | |/ / | |/ / # o | | o | | fix_nodeline_tail = len(text) <= 2 and not add_padding_line # nodeline is the line containing the node character (typically o) nodeline = ["|", " "] * idx nodeline.extend([char, " "]) nodeline.extend( _getnodelineedgestail(idx, state[1], ncols, coldiff, state[0], fix_nodeline_tail)) # shift_interline is the line containing the non-vertical # edges between this entry and the next shift_interline = ["|", " "] * idx if coldiff == -1: n_spaces = 1 edge_ch = "/" elif coldiff == 0: n_spaces = 2 edge_ch = "|" else: n_spaces = 3 edge_ch = "\\" shift_interline.extend(n_spaces * [" "]) shift_interline.extend([edge_ch, " "] * (ncols - idx - 1)) # draw edges from the current node to its parents _drawedges(edges, nodeline, shift_interline) # lines is the list of all graph lines to print lines = [nodeline] if add_padding_line: lines.append(_getpaddingline(idx, ncols, edges)) lines.append(shift_interline) # make sure that there are as many graph lines as there are # log strings while len(text) < len(lines): text.append("") if len(lines) < len(text): extra_interline = ["|", " "] * (ncols + coldiff) while len(lines) < len(text): lines.append(extra_interline) # print lines indentation_level = max(ncols, ncols + coldiff) for (line, logstr) in zip(lines, text): ln = "%-*s %s" % (2 * indentation_level, "".join(line), logstr) ui.write(ln.rstrip() + '\n') # ... and start over state[0] = coldiff state[1] = idx