Changeset - efc911d7b217
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Mads Kiilerich - 12 years ago 2013-12-10 19:30:37
madski@unity3d.com
graph: refactor first known ancestor calculation
1 file changed with 8 insertions and 11 deletions:
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kallithea/lib/graphmod.py
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# -*- coding: utf-8 -*-
 
# This program is free software: you can redistribute it and/or modify
 
# it under the terms of the GNU General Public License as published by
 
# the Free Software Foundation, either version 3 of the License, or
 
# (at your option) any later version.
 
#
 
# This program is distributed in the hope that it will be useful,
 
# but WITHOUT ANY WARRANTY; without even the implied warranty of
 
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 
# GNU General Public License for more details.
 
#
 
# You should have received a copy of the GNU General Public License
 
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
"""
 
Modified mercurial DAG graph functions that re-uses VCS structure
 

	
 
It allows to have a shared codebase for DAG generation for hg and git repos
 
"""
 

	
 
nullrev = -1
 

	
 
def _first_known_ancestors(parentrev_func, minrev, knownrevs, head):
 
    """
 
    Walk DAG defined by parentrev_func.
 
    Return most immediate ancestors of head that are in knownrevs.
 
    minrev is lower bound on knownrevs.
 
    """
 
    pending = set([head])
 
    seen = set()
 
    ancestors = set()
 
    minrev = max(nullrev, minrev)
 
    while pending:
 
        r = pending.pop()
 
        if r >= minrev and r not in seen:
 
            if r in knownrevs:
 
                ancestors.add(r)
 
            else:
 
                pending.update(parentrev_func(r))
 
        if r < minrev:
 
            pass
 
        elif r in knownrevs:
 
            ancestors.add(r)
 
        elif r not in seen:
 
            pending.update(parentrev_func(r))
 
            seen.add(r)
 
    return ancestors
 

	
 
def graph_data(repo, revs):
 
    """Return a DAG with colored edge information for revs
 

	
 
    For each DAG node this function emits tuples::
 

	
 
      ((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.
 
    """
 
    dag = _dagwalker(repo, revs)
 
    return list(_colored(dag))
 

	
 
def _dagwalker(repo, revs):
 
    if not revs:
 
        return
 

	
 
    if repo.alias == 'hg':
 
        parentrev_func = repo._repo.changelog.parentrevs
 
    elif repo.alias == 'git':
 
        def parentrev_func(rev):
 
            return [x.revision for x in repo[rev].parents]
 

	
 
    minrev = min(revs)
 
    minrev = revs[-1] # assuming sorted reverse
 
    knownrevs = set(revs)
 
    acache = {}
 
    for rev in revs:
 
        parents = set(parentrev_func(rev)) - set([nullrev])
 
        dagparents = parents & knownrevs
 
        # Calculate indirect parents
 
        for p in parents - dagparents:
 
            ancestors = acache.get(p)
 
            if ancestors is None:
 
                ancestors = acache[p] = _first_known_ancestors(parentrev_func, minrev, knownrevs, p)
 
            if ancestors: # some indirect known ancestors found - use them and ignore unknown ancestors
 
                dagparents.update(ancestors)
 
            else: # no known ancestors - use the real but unknown parent
 
                dagparents.add(p)
 
            dagparents.update(ancestors)
 

	
 
        yield (rev, sorted(dagparents))
 

	
 

	
 
def _colored(dag):
 
    """annotates a DAG with colored edge information
 

	
 
    For each DAG node this function emits tuples::
 

	
 
      ((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.
 
    """
 
    row = []
 
    colors = {}
 
    newcolor = 1
 

	
 
    for (rev, dagparents) in dag:
 

	
 
        # Compute row and nextrow
 
        if rev not in row:
 
            row.append(rev)  # new head
 
            colors[rev] = newcolor
 
            newcolor += 1
 

	
 
        nextrow = row[:]
 

	
 
        # Add unknown parents to nextrow
 
        addparents = [p for p in dagparents if p not in nextrow]
 
        col = nextrow.index(rev)
 
        nextrow[col:col + 1] = addparents
 

	
 
        # Set colors for the parents
 
        color = colors.pop(rev)
 
        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, ep in enumerate(row):
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