API seems a bit of overkill, as I understand, it's useful for 'external' access 
via http.  My tools run inside Galaxy and I should be able to use Python code 
directly.

From: Anthonius deBoer [mailto:thondeb...@me.com]
Sent: Tuesday, 23 October 2012 12:16 PM
To: Khassapov, Alex (CSIRO IM&T, Clayton)
Cc: galaxy-dev@lists.bx.psu.edu
Subject: Re: [galaxy-dev] Source code documentation

The API allows you to do some of that...
If you pass it the ID of the object (input.id) you can do all kinds of requests 
with the API.

Look in the scripts/api folder of your local Galaxy instance...

NOTE: The API seems to be a bit of a stepchild, since there is no good 
documentation and it seems to be undeveloped to some extent. For instance, the 
biggest issues is that you cannot pass a workflow any parameters, only inputs 
and outputs...

So caveat emptor!

Regards,

Thon de Boer, Ph.D.
Bioinformatics Guru
+1-650-799-6839
thondeb...@me.com<mailto:thondeb...@me.com>
LinkedIn Profile<http://www.linkedin.com/pub/thon-de-boer/1/1ba/a5b>




On Oct 22, 2012, at 5:26 PM, 
alex.khassa...@csiro.au<mailto:alex.khassa...@csiro.au> wrote:


Hi, I wonder if there's some kind of documentation (reference) for the Galaxy 
source?

At the moment I have a couple of questions for example.

1. How can I get the dataset object (in my Python wrapper) given the dataset 
name?
2. How can I access the job parameters (enered in the UI or 'hidden') in the 
Python code?

In general, when I have this kind of questions, where do I look?

-Alex
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