Thanks for everyone's ideas. I think Shaun's solution is exactly what I'm trying to do.

Shaun Ellis <mailto:sha...@princeton.edu>
June 16, 2014 at 10:36 PM
Ryan, it sounds like you simply want to pull two relational tables into drupal using referenced entities in a one (question) to many (answers) relationship?

This can be accomplished, albeit unintuitively (it is Drupal afterall), by using the Feeds CSV parser with Feeds Tamper, and I would skip what seems like an unnecessary conversion to XML step.

First, you import your questions and set a GUID target (typically your db id). Then import your answers -- each should have a reference to the id mapped using the "Entity Reference by Feeds GUID". I have done it in reverse order too, in which case you'd import all your answers first. In this case, your second (questions) import needs to contain a single column of delimited answer GUIDs into a single column. Use the Feeds Tamper explode plugin on that field during mapping as explained (rather vaguely) here:

http://drupal.stackexchange.com/questions/32234/how-to-use-feeds-module-to-import-multi-value-fields

If that's not what you're trying to do, can you clarify?

-Shaun



Joshua Welker <mailto:wel...@ucmo.edu>
June 16, 2014 at 2:35 PM
Sorry, the last line got messed up by outlook.

#now save the whole thing as an xml file

with open('myfile.xml', 'wb') as file
ElementTree(rootNode).write(file)


Josh Welker


-----Original Message-----
From: Joshua Welker [mailto:wel...@ucmo.edu]
Sent: Monday, June 16, 2014 2:32 PM
To: Code for Libraries
Subject: RE: [CODE4LIB] Excel to XML (for a Drupal Feeds import)

This should be quite doable in most programming languages with
out-of-the-box tools and no tricky parsing code. The gist is to save in
Excel as a delimited text file (tab is a good choice), then have your script ingest the document and turn it into an array, and then turn the array into
XML. In Python, it could be something like the code below (not tested but
the principles should be sound):

import 'csv'
from elementtree.ElementTree import Element, SubElement

#create a list
mylist = []

#open your delimited file with a csv reader with open('myfile.txt', 'rb') as
textfile:
reader = csv.reader( textfile, delimiter='\t', quotechat='"') #this
assumes your file is tab-delimited (\t)

#loop through rows in your file and save each row as a key/value pair
(dictionary)
for row in textfile:
fields = {
'field1': row[0]
'field2': row[1]
'field3': row[2]
'field4': row[3]
}

#append this row to our master list
mylist.append( fields )


#create an xml root node
rootNode = Element("XmlRoot")

#loop through our list of "rows" from the text file and create xml nodes for
row in mylist:
rowNode = Element("record")

#loop through all the fields on this "row" and turn them into xml nodes
for fieldName, fieldValue in row:
fieldNode = Element(fieldName)
fieldNode.text = fieldValue

#append each field node to the parent row node
rowNode.append(fieldNode)

#append each row node to the document root node
rootNode.append(rowNode)

#now save the whole thing as an xml file with open('myfile.xml', 'wb') as
file
ElementTree(rootNode).write(file)



Josh Welker

-----Original Message-----
From: Code for Libraries [mailto:CODE4LIB@LISTSERV.ND.EDU] On Behalf Of Kyle
Banerjee
Sent: Monday, June 16, 2014 1:04 PM
To: CODE4LIB@LISTSERV.ND.EDU
Subject: Re: [CODE4LIB] Excel to XML (for a Drupal Feeds import)

I'd just do this the old fashioned way. Awk is great for problems like this.
For example, if your file is tab delimited, the following should work

awk '{FS="\t"}{if ($2 != "") question = $2;}{print $1,question,$3}''
yourfile

In the example above, I just print the fields but you could easily encase
them in tags.

kyle


Joshua Welker <mailto:wel...@ucmo.edu>
June 16, 2014 at 2:32 PM
This should be quite doable in most programming languages with
out-of-the-box tools and no tricky parsing code. The gist is to save in
Excel as a delimited text file (tab is a good choice), then have your script ingest the document and turn it into an array, and then turn the array into
XML. In Python, it could be something like the code below (not tested but
the principles should be sound):

import 'csv'
from elementtree.ElementTree import Element, SubElement

#create a list
mylist = []

#open your delimited file with a csv reader
with open('myfile.txt', 'rb') as textfile:
reader = csv.reader( textfile, delimiter='\t', quotechat='"') #this
assumes your file is tab-delimited (\t)

#loop through rows in your file and save each row as a key/value pair
(dictionary)
for row in textfile:
fields = {
'field1': row[0]
'field2': row[1]
'field3': row[2]
'field4': row[3]
}

#append this row to our master list
mylist.append( fields )


#create an xml root node
rootNode = Element("XmlRoot")

#loop through our list of "rows" from the text file and create xml nodes
for row in mylist:
rowNode = Element("record")

#loop through all the fields on this "row" and turn them into xml nodes
for fieldName, fieldValue in row:
fieldNode = Element(fieldName)
fieldNode.text = fieldValue

#append each field node to the parent row node
rowNode.append(fieldNode)

#append each row node to the document root node
rootNode.append(rowNode)

#now save the whole thing as an xml file
with open('myfile.xml', 'wb') as file
ElementTree(rootNode).write(file)



Josh Welker

-----Original Message-----
From: Code for Libraries [mailto:CODE4LIB@LISTSERV.ND.EDU] On Behalf Of Kyle
Banerjee
Sent: Monday, June 16, 2014 1:04 PM
To: CODE4LIB@LISTSERV.ND.EDU
Subject: Re: [CODE4LIB] Excel to XML (for a Drupal Feeds import)

I'd just do this the old fashioned way. Awk is great for problems like this.
For example, if your file is tab delimited, the following should work

awk '{FS="\t"}{if ($2 != "") question = $2;}{print $1,question,$3}''
yourfile

In the example above, I just print the fields but you could easily encase
them in tags.

kyle


Kyle Banerjee <mailto:kyle.baner...@gmail.com>
June 16, 2014 at 1:03 PM
I'd just do this the old fashioned way. Awk is great for problems like
this. For example, if your file is tab delimited, the following should work

awk '{FS="\t"}{if ($2 != "") question = $2;}{print $1,question,$3}''
yourfile

In the example above, I just print the fields but you could easily encase
them in tags.

kyle


Ryan Engel <mailto:rten...@wisc.edu>
June 16, 2014 at 11:29 AM
Thanks for the responses, on the list and off, so far.

As I'm sure is true for so many of us, my interest in learning more about how to solve this type of problem is balanced against my need to just get the project done so I can move on to other things. One of the great things about this list is the ability to learn from the collective experiences of colleagues. For this project specifically, even clues about better search terms is useful; as Chris Gray pointed out, basic Google searches present too many hits.

I did try following the "Create an XML data file and XML schema file from worksheet data" instructions on the Microsoft site. And it did produce an XML document, but it wasn't able to transform this:
Row1    Question1    Q1Answer1
Row2                        Q1Answer2

...into something like this:
<row1>Row One Data</row1>
<question1>This is a question</question1>
<answers>
<q1answer1>Answer 1</q1answer1>
<q1answer2>Answer2</q1answer2>
</answers

Instead, I could get it to either convert every row into its own XML entry, meaning that I had a lot of answers with no associated questions, or I got an XML file that had 1 question with EVERY SINGLE answer nested beneath it -- effectively all questions after the first question were ignored. Based on those results, I wasn't sure if there is more tweaking I could do in Excel, or if there is some programmed logic in Excel that can't be accounted for when associating a schema.


Another suggestion I received was to "fill" the question column so that every row had a question listed. I did consider this, but the problem then is during the data import, I'd have to convince my CMS to put all the answers back together based on the question, something I'm sure Drupal COULD do, but I'm not sure how to do that either.


Finally, this project is a spreadsheet with 225,270 rows, so you can imagine why I'd like a process that is reasonably trustworthy AND that can run locally.


Anyway, any/all additional suggestions appreciated, even if they are "try searching for "blah blah python parser", or "I made something that solves a similar process, and you can download it from Git".

Ryan
___

Ryan Engel
Web Stuff
UW-Madison


--

Ryan Engel
Web Services Architect
Learning Support Services
College of Letters and Science
University of Wisconsin - Madison
291 Van Hise Hall
rten...@wisc.edu
608-263-5002

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