/brz/remove-bazaar

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362 by Martin Pool
- Import stat-cache code
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# (C) 2005 Canonical Ltd
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
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import stat, os, sha, time
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from binascii import b2a_qp, a2b_qp
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from trace import mutter
428 by Martin Pool
- Use AtomicFile to update statcache.
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from errors import BzrError
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- Import stat-cache code
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427 by Martin Pool
- statcache docs
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"""File stat cache to speed up tree comparisons.
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This module basically gives a quick way to find the SHA-1 and related
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information of a file in the working directory, without actually
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reading and hashing the whole file.
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This is done by maintaining a cache indexed by a file fingerprint of
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(path, size, mtime, ctime, ino, dev) pointing to the SHA-1.  If the
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fingerprint has changed, we assume the file content has not changed
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either and the SHA-1 is therefore the same.
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If any of the fingerprint fields have changed then the file content
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*may* have changed, or it may not have.  We need to reread the file
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contents to make sure, but this is not visible to the user or
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higher-level code (except as a delay of course).
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The mtime and ctime are stored with nanosecond fields, but not all
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filesystems give this level of precision.  There is therefore a
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possible race: the file might be modified twice within a second
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without changing the size or mtime, and a SHA-1 cached from the first
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version would be wrong.  We handle this by not recording a cached hash
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for any files which were modified in the current second and that
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therefore have the chance to change again before the second is up.
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The only known hole in this design is if the system clock jumps
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backwards crossing invocations of bzr.  Please don't do that; use ntp
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to gradually adjust your clock or don't use bzr over the step.
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At the moment this is stored in a simple textfile; it might be nice
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to use a tdb instead.
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doc
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The cache is represented as a map from file_id to a tuple of (file_id,
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sha1, path, size, mtime, ctime, ino, dev).
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- statcache docs
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"""
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- Import stat-cache code
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436 by Martin Pool
- Avoid dangerous files when writing out stat cache
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FP_SIZE  = 0
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FP_MTIME = 1
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FP_CTIME = 2
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FP_INO   = 3
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FP_DEV   = 4
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362 by Martin Pool
- Import stat-cache code
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437 by Martin Pool
- new command 'bzr modified' to exercise the statcache
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SC_FILE_ID = 0
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SC_SHA1    = 1 
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- Import stat-cache code
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def fingerprint(path, abspath):
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    try:
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        fs = os.lstat(abspath)
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    except OSError:
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        # might be missing, etc
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        return None
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    if stat.S_ISDIR(fs.st_mode):
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        return None
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    return (fs.st_size, fs.st_mtime,
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            fs.st_ctime, fs.st_ino, fs.st_dev)
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- Split WorkingTree into its own file
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def _write_cache(basedir, entry_iter, dangerfiles):
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    from atomicfile import AtomicFile
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    cachefn = os.path.join(basedir, '.bzr', 'stat-cache')
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    outf = AtomicFile(cachefn, 'wb', 'utf-8')
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    try:
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        for entry in entry_iter:
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            if entry[0] in dangerfiles:
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                continue
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- Use AtomicFile to update statcache.
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            outf.write(entry[0] + ' ' + entry[1] + ' ')
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            outf.write(b2a_qp(entry[2], True))
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            outf.write(' %d %d %d %d %d\n' % entry[3:])
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        outf.commit()
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    finally:
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        if not outf.closed:
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            outf.abort()
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def load_cache(basedir):
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    import codecs
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- Import stat-cache code
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    cache = {}
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    try:
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        cachefn = os.path.join(basedir, '.bzr', 'stat-cache')
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        cachefile = codecs.open(cachefn, 'r', 'utf-8')
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- Import stat-cache code
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    except IOError:
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        return cache
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    for l in cachefile:
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        f = l.split(' ')
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        file_id = f[0]
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        if file_id in cache:
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            raise BzrError("duplicated file_id in cache: {%s}" % file_id)
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        cache[file_id] = (f[0], f[1], a2b_qp(f[2])) + tuple([long(x) for x in f[3:]])
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    return cache
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def _files_from_inventory(inv):
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    for path, ie in inv.iter_entries():
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        if ie.kind != 'file':
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            continue
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        yield ie.file_id, path
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- Avoid dangerous files when writing out stat cache
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453 by Martin Pool
- Split WorkingTree into its own file
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def update_cache(basedir, inv, flush=False):
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    """Update and return the cache for the branch.
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    The returned cache may contain entries that have not been written
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    to disk for files recently touched.
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    flush -- discard any previous cache and recalculate from scratch.
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    """
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362 by Martin Pool
- Import stat-cache code
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    # TODO: It's supposed to be faster to stat the files in order by inum.
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    # We don't directly know the inum of the files of course but we do
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    # know where they were last sighted, so we can sort by that.
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438 by Martin Pool
- Avoid calling Inventory.iter_entries() when finding modified
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    assert isinstance(flush, bool)
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    if flush:
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        cache = {}
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    else:
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        cache = load_cache(basedir)
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    return _update_cache_from_list(basedir, cache, _files_from_inventory(inv))
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def _update_cache_from_list(basedir, cache, to_update):
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    """Update and return the cache for given files.
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    cache -- Previously cached values to be validated.
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    to_update -- Sequence of (file_id, path) pairs to check.
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    """
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    from sets import Set
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    hardcheck = dirty = 0
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    # files that have been recently touched and can't be
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    # committed to a persistent cache yet.
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    dangerfiles = Set()
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    now = int(time.time())
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    for file_id, path in to_update:
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        fap = os.path.join(basedir, path)
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        fp = fingerprint(fap, path)
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        cacheentry = cache.get(file_id)
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        if fp == None: # not here
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            if cacheentry:
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                del cache[file_id]
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                dirty += 1
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            continue
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436 by Martin Pool
- Avoid dangerous files when writing out stat cache
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        if (fp[FP_MTIME] >= now) or (fp[FP_CTIME] >= now):
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            dangerfiles.add(file_id)
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- Import stat-cache code
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        if cacheentry and (cacheentry[3:] == fp):
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            continue                    # all stat fields unchanged
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        hardcheck += 1
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        dig = sha.new(file(fap, 'rb').read()).hexdigest()
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        if cacheentry == None or dig != cacheentry[1]: 
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            # if there was no previous entry for this file, or if the
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            # SHA has changed, then update the cache
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            cacheentry = (file_id, dig, path) + fp
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            cache[file_id] = cacheentry
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            dirty += 1
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- Avoid dangerous files when writing out stat cache
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    mutter('statcache: read %d files, %d changed, %d dangerous, '
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           '%d in cache'
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           % (hardcheck, dirty, len(dangerfiles), len(cache)))
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    if dirty:
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        mutter('updating on-disk statcache')
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- Split WorkingTree into its own file
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        _write_cache(basedir, cache.itervalues(), dangerfiles)
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    return cache