# changelog bisection for mercurial

#

# Copyright 2007 Matt Mackall

# Copyright 2005, 2006 Benoit Boissinot <benoit.boissinot@ens-lyon.org>

#

# Inspired by git bisect, extension skeleton taken from mq.py.

#

# This software may be used and distributed according to the terms of the

# GNU General Public License version 2 or any later version.

import os, error

from i18n import _

from node import short, hex

import util

def bisect(changelog, state):

    """find the next node (if any) for testing during a bisect search.

    returns a (nodes, number, good) tuple.

    'nodes' is the final result of the bisect if 'number' is 0.

    Otherwise 'number' indicates the remaining possible candidates for

    the search and 'nodes' contains the next bisect target.

    'good' is True if bisect is searching for a first good changeset, False

    if searching for a first bad one.

    """

    clparents = changelog.parentrevs

    skip = set([changelog.rev(n) for n in state['skip']])

    def buildancestors(bad, good):

        # only the earliest bad revision matters

        badrev = min([changelog.rev(n) for n in bad])

        goodrevs = [changelog.rev(n) for n in good]

        goodrev = min(goodrevs)

        # build visit array

        ancestors = [None] * (len(changelog) + 1) # an extra for [-1]

        # set nodes descended from goodrevs

        for rev in goodrevs:

            ancestors[rev] = []

        for rev in xrange(goodrev + 1, len(changelog)):

            for prev in clparents(rev):

                if ancestors[prev] == []:

                    ancestors[rev] = []

        # clear good revs from array

        for rev in goodrevs:

            ancestors[rev] = None

        for rev in xrange(len(changelog), goodrev, -1):

            if ancestors[rev] is None:

                for prev in clparents(rev):

                    ancestors[prev] = None

        if ancestors[badrev] is None:

            return badrev, None

        return badrev, ancestors

    good = False

    badrev, ancestors = buildancestors(state['bad'], state['good'])

    if not ancestors: # looking for bad to good transition?

        good = True

        badrev, ancestors = buildancestors(state['good'], state['bad'])

    bad = changelog.node(badrev)

    if not ancestors: # now we're confused

        if len(state['bad']) == 1 and len(state['good']) == 1:

            raise util.Abort(_("starting revisions are not directly related"))

        raise util.Abort(_("inconsistent state, %s:%s is good and bad")

                         % (badrev, short(bad)))

    # build children dict

    children = {}

    visit = util.deque([badrev])

    candidates = []

    while visit:

        rev = visit.popleft()

        if ancestors[rev] == []:

            candidates.append(rev)

            for prev in clparents(rev):

                if prev != -1:

                    if prev in children:

                        children[prev].append(rev)

                    else:

                        children[prev] = [rev]

                        visit.append(prev)

    candidates.sort()

    # have we narrowed it down to one entry?

    # or have all other possible candidates besides 'bad' have been skipped?

    tot = len(candidates)

    unskipped = [c for c in candidates if (c not in skip) and (c != badrev)]

    if tot == 1 or not unskipped:

        return ([changelog.node(rev) for rev in candidates], 0, good)

    perfect = tot // 2

    # find the best node to test

    best_rev = None

    best_len = -1

    poison = set()

    for rev in candidates:

        if rev in poison:

            # poison children

            poison.update(children.get(rev, []))

            continue

        a = ancestors[rev] or [rev]

        ancestors[rev] = None

        x = len(a) # number of ancestors

        y = tot - x # number of non-ancestors

        value = min(x, y) # how good is this test?

        if value > best_len and rev not in skip:

            best_len = value

            best_rev = rev

            if value == perfect: # found a perfect candidate? quit early

                break

        if y < perfect and rev not in skip: # all downhill from here?

            # poison children

            poison.update(children.get(rev, []))

            continue

        for c in children.get(rev, []):

            if ancestors[c]:

                ancestors[c] = list(set(ancestors[c] + a))

            else:

                ancestors[c] = a + [c]

    assert best_rev is not None

    best_node = changelog.node(best_rev)

    return ([best_node], tot, good)

def load_state(repo):

    state = {'current': [], 'good': [], 'bad': [], 'skip': []}

    if os.path.exists(repo.join("bisect.state")):

        for l in repo.opener("bisect.state"):

            kind, node = l[:-1].split()

            node = repo.lookup(node)

            if kind not in state:

                raise util.Abort(_("unknown bisect kind %s") % kind)

            state[kind].append(node)

    return state

def save_state(repo, state):

    f = repo.opener("bisect.state", "w", atomictemp=True)

    wlock = repo.wlock()

    try:

        for kind in state:

            for node in state[kind]:

                f.write("%s %s\n" % (kind, hex(node)))

        f.close()

    finally:

        wlock.release()

def get(repo, status):

    """

    Return a list of revision(s) that match the given status:

    - ``good``, ``bad``, ``skip``: csets explicitly marked as good/bad/skip

    - ``range``              : csets taking part in the bisection

    - ``pruned``             : csets that are goods, bads or skipped

    - ``untested``           : csets whose fate is yet unknown

    - ``ignored``            : csets ignored due to DAG topology

    - ``current``            : the cset currently being bisected

    """

    state = load_state(repo)

    if status in ('good', 'bad', 'skip', 'current'):

        return map(repo.changelog.rev, state[status])

    else:

        # time consuming. Instead, we always develop the expression as

        # much as possible.

        # 'range' is all csets that make the bisection:

        #   - have a good ancestor and a bad descendant, or conversely

        # that's because the bisection can go either way

        range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )'

        _t = repo.revs('bisect(good)::bisect(bad)')

        # The sets of topologically good or bad csets

        if len(_t) == 0:

            # Goods are topologically after bads

            goods = 'bisect(good)::'    # Pruned good csets

            bads  = '::bisect(bad)'     # Pruned bad csets

        else:

            # Goods are topologically before bads

            goods = '::bisect(good)'    # Pruned good csets

            bads  = 'bisect(bad)::'     # Pruned bad csets

        # 'pruned' is all csets whose fate is already known: good, bad, skip

        skips = 'bisect(skip)'                 # Pruned skipped csets

        pruned = '( (%s) | (%s) | (%s) )' % (goods, bads, skips)

        # 'untested' is all cset that are- in 'range', but not in 'pruned'

        untested = '( (%s) - (%s) )' % (range, pruned)

        # 'ignored' is all csets that were not used during the bisection

        # due to DAG topology, but may however have had an impact.

        # point is out-side of the range.

        iba = '::bisect(bad) - ::bisect(good)'  # Ignored bads' ancestors

        iga = '::bisect(good) - ::bisect(bad)'  # Ignored goods' ancestors

        ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range)

        if status == 'range':

            return repo.revs(range)

        elif status == 'pruned':

            return repo.revs(pruned)

        elif status == 'untested':

            return repo.revs(untested)

        elif status == 'ignored':

            return repo.revs(ignored)

        elif status == "goods":

            return repo.revs(goods)

        elif status == "bads":

            return repo.revs(bads)

        else:

            raise error.ParseError(_('invalid bisect state'))

def label(repo, node):

    rev = repo.changelog.rev(node)

    # Try explicit sets

    if rev in get(repo, 'good'):

        # i18n: bisect changeset status

        return _('good')

    if rev in get(repo, 'bad'):

        # i18n: bisect changeset status

        return _('bad')

    if rev in get(repo, 'skip'):

        # i18n: bisect changeset status

        return _('skipped')

    if rev in get(repo, 'untested') or rev in get(repo, 'current'):

        # i18n: bisect changeset status

        return _('untested')

    if rev in get(repo, 'ignored'):

        # i18n: bisect changeset status

        return _('ignored')

    # Try implicit sets

    if rev in get(repo, 'goods'):

        # i18n: bisect changeset status

        return _('good (implicit)')

    if rev in get(repo, 'bads'):

        # i18n: bisect changeset status

        return _('bad (implicit)')

    return None

def shortlabel(label):

    if label:

        return label[0].upper()

    return None