mercurial/peer.py
author Octobus <contact@octobus.net>
Sun, 09 Jul 2017 15:11:19 +0200
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child 33765 e2fc2122029c
permissions -rw-r--r--
cleanupnode: do not use generator for node mapping The 'successors' part of the mappings used of be a tuple. This avoid issue from code consuming the generator "by mistake". For example, an extension inspecting the mapping content used to be able to iterate over the successors mapping without consequence. Since the mapping are small we do not expect any performance impact we use tuple again for this.
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# peer.py - repository base classes for mercurial
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#
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# Copyright 2005, 2006 Matt Mackall <mpm@selenic.com>
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# Copyright 2006 Vadim Gelfer <vadim.gelfer@gmail.com>
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#
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# This software may be used and distributed according to the terms of the
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# GNU General Public License version 2 or any later version.
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from __future__ import absolute_import
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from .i18n import _
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from . import (
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    error,
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    util,
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)
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# abstract batching support
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class future(object):
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    '''placeholder for a value to be set later'''
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    def set(self, value):
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        if util.safehasattr(self, 'value'):
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            raise error.RepoError("future is already set")
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        self.value = value
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class batcher(object):
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    '''base class for batches of commands submittable in a single request
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    All methods invoked on instances of this class are simply queued and
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    return a a future for the result. Once you call submit(), all the queued
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    calls are performed and the results set in their respective futures.
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    '''
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    def __init__(self):
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        self.calls = []
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    def __getattr__(self, name):
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        def call(*args, **opts):
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            resref = future()
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            self.calls.append((name, args, opts, resref,))
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            return resref
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        return call
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    def submit(self):
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        raise NotImplementedError()
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class iterbatcher(batcher):
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    def submit(self):
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        raise NotImplementedError()
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    def results(self):
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        raise NotImplementedError()
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class localbatch(batcher):
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    '''performs the queued calls directly'''
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    def __init__(self, local):
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        batcher.__init__(self)
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        self.local = local
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    def submit(self):
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        for name, args, opts, resref in self.calls:
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            resref.set(getattr(self.local, name)(*args, **opts))
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class localiterbatcher(iterbatcher):
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    def __init__(self, local):
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        super(iterbatcher, self).__init__()
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        self.local = local
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    def submit(self):
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        # submit for a local iter batcher is a noop
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        pass
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    def results(self):
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        for name, args, opts, resref in self.calls:
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            yield getattr(self.local, name)(*args, **opts)
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def batchable(f):
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    '''annotation for batchable methods
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    Such methods must implement a coroutine as follows:
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    @batchable
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    def sample(self, one, two=None):
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        # Handle locally computable results first:
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        if not one:
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            yield "a local result", None
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        # Build list of encoded arguments suitable for your wire protocol:
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        encargs = [('one', encode(one),), ('two', encode(two),)]
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        # Create future for injection of encoded result:
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        encresref = future()
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        # Return encoded arguments and future:
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        yield encargs, encresref
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        # Assuming the future to be filled with the result from the batched
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        # request now. Decode it:
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        yield decode(encresref.value)
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    The decorator returns a function which wraps this coroutine as a plain
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    method, but adds the original method as an attribute called "batchable",
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    which is used by remotebatch to split the call into separate encoding and
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    decoding phases.
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    '''
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    def plain(*args, **opts):
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        batchable = f(*args, **opts)
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        encargsorres, encresref = next(batchable)
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        if not encresref:
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            return encargsorres # a local result in this case
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        self = args[0]
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        encresref.set(self._submitone(f.func_name, encargsorres))
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        return next(batchable)
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    setattr(plain, 'batchable', f)
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    return plain
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class peerrepository(object):
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    def batch(self):
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        return localbatch(self)
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    def iterbatch(self):
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        """Batch requests but allow iterating over the results.
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        This is to allow interleaving responses with things like
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        progress updates for clients.
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        """
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        return localiterbatcher(self)
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    def capable(self, name):
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        '''tell whether repo supports named capability.
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        return False if not supported.
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        if boolean capability, return True.
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        if string capability, return string.'''
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        caps = self._capabilities()
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        if name in caps:
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            return True
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        name_eq = name + '='
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        for cap in caps:
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            if cap.startswith(name_eq):
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                return cap[len(name_eq):]
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        return False
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    def requirecap(self, name, purpose):
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        '''raise an exception if the given capability is not present'''
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        if not self.capable(name):
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            raise error.CapabilityError(
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                _('cannot %s; remote repository does not '
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                  'support the %r capability') % (purpose, name))
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    def local(self):
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        '''return peer as a localrepo, or None'''
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        return None
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    def peer(self):
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        return self
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    def canpush(self):
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        return True
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    def close(self):
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        pass