templatefilters: use list comprehension in json()
Not important, but the code slightly looks better.
# 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 .i18n 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 localbatch(batcher):
'''performs the queued calls directly'''
def __init__(self, local):
batcher.__init__(self)
self.local = local
def submit(self):
for name, args, opts, resref in self.calls:
resref.set(getattr(self.local, name)(*args, **opts))
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:
yield getattr(self.local, name)(*args, **opts)
def batchable(f):
'''annotation for batchable methods
Such methods must implement a coroutine as follows:
@batchable
def sample(self, one, two=None):
# Handle locally computable results first:
if not one:
yield "a local result", 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
class peerrepository(object):
def batch(self):
return localbatch(self)
def iterbatch(self):
"""Batch requests but allow iterating over the results.
This is to allow interleaving responses with things like
progress updates for clients.
"""
return localiterbatcher(self)
def capable(self, name):
'''tell whether repo supports named capability.
return False if not supported.
if boolean capability, return True.
if string capability, return string.'''
caps = self._capabilities()
if name in caps:
return True
name_eq = name + '='
for cap in caps:
if cap.startswith(name_eq):
return cap[len(name_eq):]
return False
def requirecap(self, name, purpose):
'''raise an exception if the given capability is not present'''
if not self.capable(name):
raise error.CapabilityError(
_('cannot %s; remote repository does not '
'support the %r capability') % (purpose, name))
def local(self):
'''return peer as a localrepo, or None'''
return None
def peer(self):
return self
def canpush(self):
return True
def close(self):
pass