Has anyone use the API workflow_execute.py to run workflows with a lot of 
steps?  The reason why I am asking is that I keep getting some errors when I 
ran workflows that are long (i.e ~ 50 steps).  The same workflow could be 
executed successfully from the GUI.  The first Few steps (16 steps) get 
scheduled in the created history but the rest don't and then after while error 

Here are the error messages I keep getting.

HTTP Error 500: Internal Server Error
500 Internal Server Error
The server has either erred or is incapable of performing
the requested operation.
And here is some error I capture in the log file>

  File "/usr/local/galaxy/galaxy-dist/lib/galaxy/tools/__init__.py", line 2126, 
in execute
    return self.tool_action.execute( self, trans, incoming=incoming, 
set_output_hid=set_output_hid, history=history, **kwargs )
  File "/usr/local/galaxy/galaxy-dist/lib/galaxy/tools/actions/__init__.py", 
line 362, in execute
    history.add_dataset( data, set_hid = set_output_hid )
  File "/usr/local/galaxy/galaxy-dist/lib/galaxy/web/framework/__init__.py", 
line 1124, in __getattr__
    if key not in self: raise AttributeError, key
AttributeError: add_dataset

I am not sure if this is related to some kind of waiting processing time and 
since it does not get a reply then it errors out.

I would really appreciate any kind of help.  I might have to break my workflow 
into smaller ones if there is no other way.

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