Mercurial > hg
view mercurial/peer.py @ 33971:dcfa83652744
tests: update test-pager to pass our import checker
author | Augie Fackler <raf@durin42.com> |
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date | Tue, 22 Aug 2017 16:58:57 -0400 |
parents | dedab036215d |
children | 56bb07a0b75c |
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# peer.py - repository base classes for mercurial # # Copyright 2005, 2006 Matt Mackall <mpm@selenic.com> # Copyright 2006 Vadim Gelfer <vadim.gelfer@gmail.com> # # This software may be used and distributed according to the terms of the # GNU General Public License version 2 or any later version. from __future__ import absolute_import from . import ( error, util, ) # abstract batching support class future(object): '''placeholder for a value to be set later''' def set(self, value): if util.safehasattr(self, 'value'): raise error.RepoError("future is already set") self.value = value class batcher(object): '''base class for batches of commands submittable in a single request All methods invoked on instances of this class are simply queued and return a a future for the result. Once you call submit(), all the queued calls are performed and the results set in their respective futures. ''' def __init__(self): self.calls = [] def __getattr__(self, name): def call(*args, **opts): resref = future() self.calls.append((name, args, opts, resref,)) return resref return call def submit(self): raise NotImplementedError() class iterbatcher(batcher): def submit(self): raise NotImplementedError() def results(self): raise NotImplementedError() class localiterbatcher(iterbatcher): def __init__(self, local): super(iterbatcher, self).__init__() self.local = local def submit(self): # submit for a local iter batcher is a noop pass def results(self): for name, args, opts, resref in self.calls: resref.set(getattr(self.local, name)(*args, **opts)) yield resref.value def batchable(f): '''annotation for batchable methods Such methods must implement a coroutine as follows: @batchable def sample(self, one, two=None): # Build list of encoded arguments suitable for your wire protocol: encargs = [('one', encode(one),), ('two', encode(two),)] # Create future for injection of encoded result: encresref = future() # Return encoded arguments and future: yield encargs, encresref # Assuming the future to be filled with the result from the batched # request now. Decode it: yield decode(encresref.value) The decorator returns a function which wraps this coroutine as a plain method, but adds the original method as an attribute called "batchable", which is used by remotebatch to split the call into separate encoding and decoding phases. ''' def plain(*args, **opts): batchable = f(*args, **opts) encargsorres, encresref = next(batchable) if not encresref: return encargsorres # a local result in this case self = args[0] encresref.set(self._submitone(f.func_name, encargsorres)) return next(batchable) setattr(plain, 'batchable', f) return plain