Hi James,

I have updated timeliner to work with the new OpenPyxl API.  Just for reference, my install is from [1].  In addition to this, I have also added xlsx output as a renderer for the unified output [2].  So you should be able to get xlsx output from any plugin that has already been converted.  You can see which plugins have this support by using the --help/-h switch.  For example:

$ python vol.py -f mem.img pslist --help
[snip]
Module Output Options: dot, html, json, quicktext, sqlite, text, xlsx
[snip]

$ python vol.py -f mem.img pslist --output=xlsx --output-file=pslist.xlsx

All the best,

-Jamie



[1] https://pypi.python.org/pypi/openpyxl

[2] https://github.com/volatilityfoundation/volatility/commit/c4a9a732c9411e7b0c20e1906743232026496edd

On 12/19/14 7:40 AM, James Lay wrote:
On Fri, 2014-12-19 at 03:01 +0000, Jamie Levy wrote: 
OpenPyxl just changed their API and it is no longer compatible.  I am in the process of fixing the timeliner plugin to use the new API.   

Also, the excel output for psxview has already been converted to the new API. 

All the best,

-Jamie



------Original Message------
From: James Lay
Sender: vol-users-bounces@volatilityfoundation.org
To: Volatility
ReplyTo: jlay@slave-tothe-box.net
Subject: [Vol-users] Trick to getting xlsx output
Sent: Dec 18, 2014 6:27 PM

Hey all,

Using 2.4...not able to get xlsx output...greeted with:

Volatility Foundation Volatility Framework 2.4
ERROR   : volatility.plugins.timeliner: You must install OpenPyxl for 
xlsx format:
         https://bitbucket.org/ericgazoni/openpyxl/wiki/Home

My install method for volatility was download, extract, move to 
/opt/volatility, and python vol.py from there.
My install method for openpyxl was:

hg clone https://bitbucket.org/openpyxl/openpyxl
cd openpyxl
python setup.py build
sudo python setup.py install

Is there anything else I need to check?  I see a slew of items in:

/usr/local/lib/python2.7/dist-packages/openpyxl-2.1.4-py2.7.egg/

Thank you.

James
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Awesome....looking forward to it...thank you.

James 

-- 
Jamie Levy (@gleeda)
Blog: http://volatility-labs.blogspot.com/
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