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authorZac Medico <zmedico@gentoo.org>2010-09-02 00:05:06 -0700
committerZac Medico <zmedico@gentoo.org>2010-09-02 00:05:06 -0700
commit252fa9a50c264e9827c42c631291749ad62d0f4d (patch)
tree65a79cae3f0b770f60b344fbc14d65e67c9c78d1 /bin
parentBug #335642 - Also make show_masked_packages() display to stdout since (diff)
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Adjust EbuildIpcDaemon pickle read and write code in order to ensure
atomc reading and writing of whole pickles. This should be the least error-prone approach, given the non-blocking nature of the streams.
Diffstat (limited to 'bin')
-rwxr-xr-xbin/ebuild-ipc.py30
1 files changed, 26 insertions, 4 deletions
diff --git a/bin/ebuild-ipc.py b/bin/ebuild-ipc.py
index cbb8c5570..52fb08226 100755
--- a/bin/ebuild-ipc.py
+++ b/bin/ebuild-ipc.py
@@ -48,13 +48,35 @@ class EbuildIpc(object):
def _communicate(self, args):
input_fd = os.open(self.ipc_out_fifo, os.O_RDONLY|os.O_NONBLOCK)
- input_file = os.fdopen(input_fd, 'rb')
- output_file = open(self.ipc_in_fifo, 'wb')
- pickle.dump(args, output_file)
+
+ # File streams are in unbuffered mode since we do atomic
+ # read and write of whole pickles.
+ input_file = os.fdopen(input_fd, 'rb', 0)
+ output_file = open(self.ipc_in_fifo, 'wb', 0)
+
+ # Write the whole pickle in a single atomic write() call,
+ # since the reader is in non-blocking mode and we want
+ # it to get the whole pickle at once.
+ output_file.write(pickle.dumps(args))
output_file.flush()
events = select.select([input_file], [], [])
- reply = pickle.load(input_file)
+
+ # Read the whole pickle in a single read() call since
+ # this stream is in non-blocking mode and pickle.load()
+ # has been known to raise the following exception when
+ # reading from a non-blocking stream:
+ #
+ # File "/usr/lib64/python2.6/pickle.py", line 1370, in load
+ # return Unpickler(file).load()
+ # File "/usr/lib64/python2.6/pickle.py", line 858, in load
+ # dispatch[key](self)
+ # File "/usr/lib64/python2.6/pickle.py", line 1195, in load_setitem
+ # value = stack.pop()
+ # IndexError: pop from empty list
+
+ pickle_str = input_file.read()
+ reply = pickle.loads(pickle_str)
output_file.close()
input_file.close()