Update Docs

README.md

@@ -9,14 +9,35 @@ repositories.
 
 - caltech_thesis - Transform CaltechTHESIS records to DataCite
 
-#### Usage
+## Setup
 
 Requires: 
 
 - Python 3 (Recommended via [Anaconda](https://www.anaconda.com/download)) 
 - xmltodict (pip install xmltodict)
 - datacite (pip install datacite)
 
+If you will be minting DOIs, you need to create a file called `pw` using a text
+editor that contains your DataCite password.  The username is hardcoded in the
+script, since non-Caltech users will have to modify the script to work with
+their Eprints installation.
+
+You can also import the metadata transformation function into another python script by typing
+`python setup.py install` in the epxml_to_datacite directory.  Then include 
+`import caltech_thesis` at the top of your new script and you wil be able to
+call `epxml_to_datacite(eprint)`, where eprint is the xml parsed by something
+like:
+
+```
+infile = open('10271.xml',encoding="utf8")
+eprint = xmltodict.parse(infile.read())['eprints']['eprint']
+```
+
+## Using caltech_thesis.py
+
+Download .xml files from thesis.library.caltech.edu/rest/eprint/1234.xml and put 
+them in the folder with caltech_thesis.py.  Type `python caltech_thesis` and
+DataCite XML files will appear.  If you want to mint DOIs add the `-mint`
+option and if you want to make test DOIs add the `-test` option to the command
+line.  
 
-Download .xml files and put them in this folder.  Type `./run_thesis`. DataCite
-XML files will appear