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  1. Oct 05, 2010
  2. Sep 01, 2010
  3. Jul 30, 2010
  4. Jul 29, 2010
    • Michael Hanselmann's avatar
      workerpool: Change signature of AddTask function to not use *args · b2e8a4d9
      Michael Hanselmann authored
      
      By changing it to a normal parameter, which must be a sequence, we can
      start using keyword parameters.
      
      Before this patch all arguments to “AddTask(self, *args)” were passed as
      arguments to the worker's “RunTask” method. Priorities, which should be
      optional and will be implemented in a future patch, must be passed as a keyword
      parameter. This means “*args” can no longer be used as one can't combine *args
      and keyword parameters in a clean way:
      
      >>> def f(name=None, *args):
      ...   print "%r, %r" % (args, name)
      ...
      >>> f("p1", "p2", "p3", name="thename")
      Traceback (most recent call last):
       File "<stdin>", line 1, in <module>
       TypeError: f() got multiple values for keyword argument 'name'
      
      Signed-off-by: default avatarMichael Hanselmann <hansmi@google.com>
      Reviewed-by: default avatarIustin Pop <iustin@google.com>
      b2e8a4d9
  5. Jul 12, 2010
  6. Jul 01, 2010
    • Michael Hanselmann's avatar
      RAPI client: Switch to pycURL · 2a7c3583
      Michael Hanselmann authored
      
      Currently the RAPI client uses the urllib2 and httplib modules from
      Python's standard library. They're used with pyOpenSSL in a very fragile
      way, and there are known issues when receiving large responses from a RAPI
      server.
      
      By switching to PycURL we leverage the power and stability of the
      widely-used curl library (libcurl). This brings us much more flexibility
      than before, and timeouts were easily implemented (something that would
      have involved a lot of work with the built-in modules).
      
      There's one small drawback: Programs using libcurl have to call
      curl_global_init(3) (available as pycurl.global_init) while exactly one
      thread is running (e.g. before other threads) and are supposed to call
      curl_global_cleanup(3) (available as pycurl.global_cleanup) upon exiting.
      See the manpages for details. A decorator is provided to simplify this.
      
      Unittests for the new code are provided, increasing the test coverage of
      the RAPI client from 74% to 89%.
      
      Signed-off-by: default avatarMichael Hanselmann <hansmi@google.com>
      Reviewed-by: default avatarGuido Trotter <ultrotter@google.com>
      Reviewed-by: default avatarIustin Pop <iustin@google.com>
      2a7c3583
  7. Jun 01, 2010
  8. May 18, 2010
    • Michael Hanselmann's avatar
      Add tool to move instances between clusters · 6bf273d5
      Michael Hanselmann authored
      
      This is a first version of the instance move tool and it supports moving
      1..N instances from one cluster to another. When moving a single instance,
      the instance can be renamed, allowing for moves within the same cluster
      (not really useful in practice, but good for testing). Documentation is
      updated to describe this new tool and its usage.
      
      The “move-instance” tool uses the workerpool to support parallel moves of
      instances. Supporting them was simple as threads were required anyway due
      to the synchronous RAPI client.
      
      Signed-off-by: default avatarMichael Hanselmann <hansmi@google.com>
      Reviewed-by: default avatarIustin Pop <iustin@google.com>
      6bf273d5
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