Mercurial > hg
view mercurial/graphmod.py @ 45325:c6eea5804551
commitctx: extract sidedata encoding inside its own function
This part of the code is quite independent from the rest. Thank to the new
ChangingFiles object, moving with the rest of the sidedata code (in metadata.py)
is simple.
The changelog.add method is simply passing the `files` object to the new
function. It will be easy to increase/change the data we gather and encode
without impacting the changelog method.
author | Pierre-Yves David <pierre-yves.david@octobus.net> |
---|---|
date | Sat, 25 Jul 2020 16:02:26 +0200 |
parents | 9d2b2df2c2ba |
children | 6000f5b25c9b |
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# 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 __future__ import absolute_import from .node import nullrev from .thirdparty import attr from . import ( dagop, pycompat, smartset, util, ) CHANGESET = b'C' PARENT = b'P' GRANDPARENT = b'G' MISSINGPARENT = b'M' # Style of line to draw. None signals a line that ends and is removed at this # point. A number prefix means only the last N characters of the current block # will use that style, the rest will use the PARENT style. Add a - sign # (so making N negative) and all but the first N characters use that style. EDGES = {PARENT: b'|', GRANDPARENT: b':', MISSINGPARENT: None} def dagwalker(repo, revs): """cset DAG generator yielding (id, CHANGESET, ctx, [parentinfo]) tuples This generator function walks through revisions (which should be ordered from bigger to lower). It returns a tuple for each node. Each parentinfo entry is a tuple with (edgetype, parentid), where edgetype is one of PARENT, GRANDPARENT or MISSINGPARENT. The node and parent ids are arbitrary integers which identify a node in the context of the graph returned. """ gpcache = {} for rev in revs: ctx = repo[rev] # partition into parents in the rev set and missing parents, then # augment the lists with markers, to inform graph drawing code about # what kind of edge to draw between nodes. pset = {p.rev() for p in ctx.parents() if p.rev() in revs} mpars = [ p.rev() for p in ctx.parents() if p.rev() != nullrev and p.rev() not in pset ] parents = [(PARENT, p) for p in sorted(pset)] for mpar in mpars: gp = gpcache.get(mpar) if gp is None: # precompute slow query as we know reachableroots() goes # through all revs (issue4782) if not isinstance(revs, smartset.baseset): revs = smartset.baseset(revs) gp = gpcache[mpar] = sorted( set(dagop.reachableroots(repo, revs, [mpar])) ) if not gp: parents.append((MISSINGPARENT, mpar)) pset.add(mpar) else: parents.extend((GRANDPARENT, g) for g in gp if g not in pset) pset.update(gp) 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 = { (PARENT, 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(b'graph'): if b'.' in key: branch, setting = key.rsplit(b'.', 1) # Validation if setting == b"width" and val.isdigit(): config.setdefault(branch, {})[setting] = int(val) elif setting == b"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 pt, 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(b'width', -1), bconf.get(b'color', b''), ) ) elif eid == cur: for ptype, p in parents: bconf = getconf(p) edges.append( ( ecol, next.index(p), color, bconf.get(b'width', -1), bconf.get(b'color', b''), ) ) # Yield and move on yield (cur, type, data, (col, color), edges) seen = next def asciiedges(type, char, state, rev, parents): """adds edge info to changelog DAG walk suitable for ascii()""" seen = state.seen if rev not in seen: seen.append(rev) nodeidx = seen.index(rev) knownparents = [] newparents = [] for ptype, parent in parents: if parent == rev: # self reference (should only be seen in null rev) continue if parent in seen: knownparents.append(parent) else: newparents.append(parent) state.edges[parent] = state.styles.get(ptype, b'|') ncols = len(seen) width = 1 + ncols * 2 nextseen = seen[:] nextseen[nodeidx : nodeidx + 1] = newparents edges = [(nodeidx, nextseen.index(p)) for p in knownparents] seen[:] = nextseen 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 width += 2 yield (type, char, width, (nodeidx, edges, ncols, nmorecols)) char = b'\\' 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 if nmorecols > 0: width += 2 # remove current node from edge characters, no longer needed state.edges.pop(rev, None) yield (type, char, width, (nodeidx, edges, ncols, nmorecols)) def _fixlongrightedges(edges): for (i, (start, end)) in enumerate(edges): if end > start: edges[i] = (start, end + 1) def _getnodelineedgestail(echars, idx, pidx, ncols, coldiff, pdiff, fix_tail): if fix_tail and coldiff == pdiff and coldiff != 0: # Still going in the same non-vertical direction. if coldiff == -1: start = max(idx + 1, pidx) tail = echars[idx * 2 : (start - 1) * 2] tail.extend([b"/", b" "] * (ncols - start)) return tail else: return [b"\\", b" "] * (ncols - idx - 1) else: remainder = ncols - idx - 1 return echars[-(remainder * 2) :] if remainder > 0 else [] def _drawedges(echars, edges, nodeline, interline): for (start, end) in edges: if start == end + 1: interline[2 * end + 1] = b"/" elif start == end - 1: interline[2 * start + 1] = b"\\" elif start == end: interline[2 * start] = echars[2 * start] else: if 2 * end >= len(nodeline): continue nodeline[2 * end] = b"+" if start > end: (start, end) = (end, start) for i in range(2 * start + 1, 2 * end): if nodeline[i] != b"+": nodeline[i] = b"-" def _getpaddingline(echars, idx, ncols, edges): # all edges up to the current node line = echars[: idx * 2] # an edge for the current node, if there is one if (idx, idx - 1) in edges or (idx, idx) in edges: # (idx, idx - 1) (idx, idx) # | | | | | | | | # +---o | | o---+ # | | X | | X | | # | |/ / | |/ / # | | | | | | line.extend(echars[idx * 2 : (idx + 1) * 2]) else: line.extend([b' ', b' ']) # all edges to the right of the current node remainder = ncols - idx - 1 if remainder > 0: line.extend(echars[-(remainder * 2) :]) return line def _drawendinglines(lines, extra, edgemap, seen, state): """Draw ending lines for missing parent edges None indicates an edge that ends at between this node and the next Replace with a short line ending in ~ and add / lines to any edges to the right. """ if None not in edgemap.values(): return # Check for more edges to the right of our ending edges. # We need enough space to draw adjustment lines for these. edgechars = extra[::2] while edgechars and edgechars[-1] is None: edgechars.pop() shift_size = max((edgechars.count(None) * 2) - 1, 0) minlines = 3 if not state.graphshorten else 2 while len(lines) < minlines + shift_size: lines.append(extra[:]) if shift_size: empties = [] toshift = [] first_empty = extra.index(None) for i, c in enumerate(extra[first_empty::2], first_empty // 2): if c is None: empties.append(i * 2) else: toshift.append(i * 2) targets = list(range(first_empty, first_empty + len(toshift) * 2, 2)) positions = toshift[:] for line in lines[-shift_size:]: line[first_empty:] = [b' '] * (len(line) - first_empty) for i in range(len(positions)): pos = positions[i] - 1 positions[i] = max(pos, targets[i]) line[pos] = b'/' if pos > targets[i] else extra[toshift[i]] map = {1: b'|', 2: b'~'} if not state.graphshorten else {1: b'~'} for i, line in enumerate(lines): if None not in line: continue line[:] = [c or map.get(i, b' ') for c in line] # remove edges that ended remove = [p for p, c in edgemap.items() if c is None] for parent in remove: del edgemap[parent] seen.remove(parent) @attr.s class asciistate(object): """State of ascii() graph rendering""" seen = attr.ib(init=False, default=attr.Factory(list)) edges = attr.ib(init=False, default=attr.Factory(dict)) lastcoldiff = attr.ib(init=False, default=0) lastindex = attr.ib(init=False, default=0) styles = attr.ib(init=False, default=attr.Factory(EDGES.copy)) graphshorten = attr.ib(init=False, default=False) def outputgraph(ui, graph): """outputs an ASCII graph of a DAG this is a helper function for 'ascii' below. takes the following arguments: - ui to write to - graph data: list of { graph nodes/edges, text } this function can be monkey-patched by extensions to alter graph display without needing to mimic all of the edge-fixup logic in ascii() """ for (ln, logstr) in graph: ui.write((ln + logstr).rstrip() + b"\n") 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 edgemap, seen = state.edges, state.seen # Be tolerant of history issues; make sure we have at least ncols + coldiff # elements to work with. See test-glog.t for broken history test cases. echars = [c for p in seen for c in (edgemap.get(p, b'|'), b' ')] echars.extend((b'|', b' ') * max(ncols + coldiff - len(seen), 0)) 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 = echars[: idx * 2] nodeline.extend([char, b" "]) nodeline.extend( _getnodelineedgestail( echars, idx, state.lastindex, ncols, coldiff, state.lastcoldiff, fix_nodeline_tail, ) ) # shift_interline is the line containing the non-vertical # edges between this entry and the next shift_interline = echars[: idx * 2] for i in pycompat.xrange(2 + coldiff): shift_interline.append(b' ') count = ncols - idx - 1 if coldiff == -1: for i in pycompat.xrange(count): shift_interline.extend([b'/', b' ']) elif coldiff == 0: shift_interline.extend(echars[(idx + 1) * 2 : ncols * 2]) else: for i in pycompat.xrange(count): shift_interline.extend([b'\\', b' ']) # draw edges from the current node to its parents _drawedges(echars, edges, nodeline, shift_interline) # lines is the list of all graph lines to print lines = [nodeline] if add_padding_line: lines.append(_getpaddingline(echars, idx, ncols, edges)) # If 'graphshorten' config, only draw shift_interline # when there is any non vertical flow in graph. if state.graphshorten: if any(c in br'\/' for c in shift_interline if c): lines.append(shift_interline) # Else, no 'graphshorten' config so draw shift_interline. else: lines.append(shift_interline) # make sure that there are as many graph lines as there are # log strings extra_interline = echars[: (ncols + coldiff) * 2] if len(lines) < len(text): while len(lines) < len(text): lines.append(extra_interline[:]) _drawendinglines(lines, extra_interline, edgemap, seen, state) while len(text) < len(lines): text.append(b"") # print lines indentation_level = max(ncols, ncols + coldiff) lines = [ b"%-*s " % (2 * indentation_level, b"".join(line)) for line in lines ] outputgraph(ui, zip(lines, text)) # ... and start over state.lastcoldiff = coldiff state.lastindex = idx