This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

Datastore is a simple tool written to parse sugar metadata files from backuped XO archives in a given folder.

Install

To install the datastore_reader lib, you need python and easy_install tool. Just in case, you can download the easy_install init script here:

http://peak.telecommunity.com/dist/ez_setup.py

… and install it:

$ python ez_setup.py

You should now be able to easy_install the datastore_reader as follow:

$ easy_install datastore_reader

Run

The first datastore_reader entry point is called moulinette. It extract and parse metadata from backups to csv files.

By default, archives should be in a sub-folder named data in the current folder, ex:

./data
./data/archive-1.tar.bz2
./data/archive-2.tar.bz2
./data/archive-3.tar.bz2
...

All archives should have the .tar.bz2 extension. Here is the command to trigger the first reader application:

$ moulinette

At the end, you should find 2 new folders in the data floder:

./data/tmp
./data/out

In tmp sub-folder we have the extracted files from the parsing process. All files are re-extracted each time and the tmp folder can be removed after.

In the out folder we find the .csv results of the moulinette script.

Release History

Release History

0.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
datastore_reader-0.1-py2.7.egg (12.0 kB) Copy SHA256 Checksum SHA256 2.7 Egg Dec 22, 2011

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