@alxdrdelaporte thanks for creating the issue! There was an issue template, and we use that to collect some very useful information to troubleshoot the issue. Can you please provide some more information:

Environment information

• AUT version: [e.g. 0.16.0, HEAD]
• OS: [e.g. MacOS 10.13.3, Ubuntu 18.04]
• Java version: [e.g. Java 8]
• Apache Spark version: [e.g. 2.1.3, 2.3.1]
• Apache Spark w/aut: [e.g. --jars, --packages]
• Apache Spark command used to run AUT: [e.g. ./spark-shell --driver-memory 55G --packages "io.archivesunleashed:aut:0.16.0"]

I have some sample WARC/ARCs from BAnQ that should help me troubleshoot, but if you could provide one that you're working with, that would be very helpful.

@alxdrdelaporte this make sense? That's Spark 2.4.5 with the 0.50.0 release.

What needs to be sorted out:

• how is the content encoded in the WARC/ARC (is it bad data in, bad data out?)
• if the content is "good" in the WARC/ARC, where does the bad encoding happen? In one of the dependencies -- webarchive commons -- or somewhere else?
• if everything is fine up until the write in Spark, that's a Spark issue, and I honestly don't know how one would handle multiple text encodings, and re-encoding them to something else in the derivative write.

All that said, this is all web archives, and crazy stuff from the web end up in them. Text encoding is definitely going to be a giant reemerging thorn.

Thanks for your answer @ruebot (and sorry for not following the issue template, I didn't see there was one)

As my workplace is in lockdown until further notice all projects are on hold and I am not able to provide more information for now. I will as soon as I can (the only thing I will not be able to provide at all is a sample WARC file, because duplicating or processing data outside of the premises is strictly forbidden).

OK! I spent about an hour and a bit on this problem, and I am not sure how much closer I am.

In our sample data WARCs, we have the issue of mixed encodings in the same WARC. We can see this here:

Looking at the WARC itself, we can see that the records that are not rendering properly are indeed encoded in ISO-8859-1. Looking at the WARC itself in vim, we can see the accents although we can see that even vim is having some trouble parsing them (note the super tiny é).

My thought was to try to convert the DataFrames to ISO-8859-1 and see if the results were usable. My script was thus:

import io.archivesunleashed._
import io.archivesunleashed.df._

var data = RecordLoader.loadArchives("/Users/ianmilligan1/dropbox/git/aut-resources/Sample-Data/*.gz", sc)
  .webpages()
  .filter($"language" === "fr")
  .select($"crawl_date", ExtractDomainDF($"url"), $"url", $"language", RemoveHTMLDF(RemoveHTTPHeaderDF($"content")))

data.write.option("encoding","ISO-8859-1").csv("test2")

Alas, that did not fix the ISO-8859-1 encoded file (changed the error characters to question marks for the most part), and indeed broke the properly rendered files as well.

So @ruebot, looks like the data is "good" in the WARC (in the sense that it is readable, even if it is in different encodings), but by the time we get to the write stage something has gone awry.

I am probably the last person who should be digging into this, but hopefully this is helpful?

And I was curious, so I tried @greebie's idea of changing the WarcRecordUtils behaviour like so:

dout.write("WARC/0.17\n".getBytes("ISO-8859-1"));

But even when in theory reading WARCs in using ISO-8859-1, the record theoretically encoded that way doesn't work.

Thanks @ianmilligan1! This is some good hacking and supporting documentation. It all dovetails really nicely with my digging.

Without seeing @alxdrdelaporte's WARC, I'm going to hazard a guess that it has the same mixed encoding that many ARC/WARCs are going to have. Most likely the result of a bunch of wild web servers serving up a variety of encodings. Mircosoft web servers? 👀

Roughly, we're pulling the "content" from a ARC/WARC record as a raw byte array in Java, and then handing that off Scala to ArchiveRecord and RecordLoader. That's all under the same jvm, so there shouldn't be any issues between Java/Scala. Spark is going to write out as UTF-8 by default if I'm not mistaken. So, my next line of thinking is going to down the path of figuring out if there is a way to identify the encoding of a content payload on the fly while we're processing each record, convert it to UTF-8? Maybe? But, that all assumes we have good data coming in, and we can do things relatively predictably.

Looping back to my earlier comment, I'm honestly not sure this is something that aut can and should handle. It sounds like it should be, but I'm not 100% sure. I've hit a wall with cycles on this, and not sure what else we could do. @lintool any ideas on your end?

@anjackson @tokee I'd assume y'all hit this hurdle before with webarchive-discovery?