Search Results: "cas"

9 June 2016

Martin Pitt: autopkgtest 4.0: Simplified CLI, deprecating adt

Historically, the adt-run command line has allowed multiple tests; as a consequence, arguments like --binary or --override-control were position dependent, which confused users a lot (#795274, #785068, #795274, LP #1453509). On the other hand I don t know anyone or any CI system which actually makes use of the multiple tests on a single command line feature. The command line also was a bit confusing in other ways, like the explicit --built-tree vs. --unbuilt-tree and the magic / vs. // suffixes, or option vs. positional arguments to specify tests. The other long-standing confusion is the pervasive adt acronym, which is still from the very early times when autopkgtest was called autodebtest (this was changed one month after autodebtest s inception, in 2006!). Thus in some recent night/weekend hack sessions I ve worked on a new command line interface and consistent naming. This is now available in autopkgtest 4.0 in Debian unstable and Ubuntu Yakkety. You can download and use the deb package on Debian jessie and Ubuntu 14.04 LTS as well. (I will provide official backports after the first bug fix release after this got some field testing.) New autopkgtest command The adt-run program is now superseded by autopkgtest: README.running-tests got updated to the new CLI, as usual you can also read the HTML online. The old adt-run CLI is still available with unchanged behaviour, so it is safe to upgrade existing CI systems to that version. Image build tools All adt-build* tools got renamed to autopkgtest-build*, and got changed to build images prefixed with autopkgtest instead of adt . For example, adt-build-lxc ubuntu xenial now produces an autopkgtest-xenial container instead of adt-xenial. In order to not break existing CI systems, the new autopkgtest package contains symlinks to the old adt-build* commands, and when being called through them, also produce images with the old adt- prefix. Environment variables in tests Finally there is a set of environment variables that are exported by autopkgtest for using in tests and image customization tools, which now got renamed from ADT_* to AUTOPKGTEST_*: As these are being used in existing tests and tools, autopkgtest also exports/checks those under their old ADT_* name. So tests can be converted gradually over time (this might take several years). Feedback As usual, if you find a bug or have a suggestion how to improve the CLI, please file a bug in Debian or in Launchpad. The new CLI is recent enough that we still have some liberty to change it. Happy testing!

Patrick Schoenfeld: Ansible: Indenting in Templates

When using ansible to configure systems and services, templates can reach a significant complexity. Proper indenting can help to improve the readability of the templates, which is very important for further maintenance. Unfortunately the default settings for the jinja2 template engine in ansible do enable trim_blocks only, while a combination with lstrip_blocks would be better. But here comes the good news: It s possible to enable that setting on a per-template base. The secret is to add a special comment to the very first line of a template:
#jinja2: lstrip_blocks: True
This setting does the following: If enabled, leading spaces and tabs are stripped from the start of a line to a block . So a resulting template could look like this:
global
 % for setting in global_settings % 
     % if setting ... % 
    option   setting  
     % endif % 
 % endfor % 
Unfortunately (or fortunately, if you want to see it this way  this does not strip leading spaces and tabs where the indentation is followed by pure text, e.g. the whitespaces in line 4 are preserved. So as a matter of fact, if you care for the indentation in the resulting target file, you need to indent those lines according to the indentation wanted in the target file instead, like it is done in the example. In less simple cases, with more deep nesting, this may seem odd, but hey: it s the best compromise between a good, readable template and a consistently indented output file.

8 June 2016

Gunnar Wolf: University degrees and sysadmin skills

I'll tune in to the post-based conversation being held on Planet Debian: Russell Coker wonders about what's needed to get university graduates with enough skills for a sysadmin job, to which Lucas Nussbaum responds with his viewpoints. They present a very contrasting view of what's needed for students And for a good reason, I'd say: Lucas is an academician; I don't know for sure about Russell, but he seems to be a down-to-the-earth, dirty-handed, proficient sysadmin working on the field. They both contact newcomers to their fields, and will notice different shortcomings. I tend to side with Lucas' view. That does not come as a surprise, as I've been working for over 15 years in an university, and in the last few years I started walking from a mostly-operative sysadmin in an academic setting towards becoming an academician that spends most of his time sysadmining. Subtle but important distinction. I teach at the BSc level at UNAM, and am a Masters student at IPN (respectively, Mexico's largest and second-largest universities). And yes, the lack of sysadmin abilities in both is surprising. But so is a good understanding of programming. And I'm sure that, were I to dig into several different fields, I'd feel the same: Student formation is very basic at each of those fields. But I see that as natural. Of course, if I were to judge people as geneticists as they graduate from Biology, or were I to judge them as topologists as they graduate from Mathematics, or any other discipline in which I'm not an expert, I'd surely not know where to start Given I have about 20 years of professional life on my shoulders, I'm quite skewed as to what is basic for a computing professional. And of course, there are severe holes in my formation, in areas I never used. I know next to nothing of electronics, my mathematical basis is quite flaky, and I'm a poor excuse when talking about artificial intelligence. Where am I going with this? An university degree (BSc in English, would amount to "licenciatura" in Spanish) is not for specialization. It is to have a sufficiently broad panorama of the field, and all of the needed tools to start digging deeper and specializing either by yourself, working on a given field and learning its details as you go, or going through a postgraduate program (Specialization, Masters, Doctorate). Even most of my colleagues at the Masters in Engineering in Security and Information Technology lack of a good formation in fields I consider essential. However, what does information security mean? Many among them are working on legal implications of several laws that touch our field. Many other are working on authenticity issues in images, audios and other such media. Many other are trying to come up with mathematical ways to cheapen the enormous burden of crypto operations (say, "shaving" CPU cycles off a very large exponentiation). Others are designing autonomous learning mechanisms to characterize malware. Were I as a computing professional to start talking about their research, I'd surely reveal I know nothing about it and get laughed at. That's because I haven't specialized in those fields. University education should give a broad universal basis to enter a professional field. It should not focus on teaching tools or specific procedures (although some should surely be presented as examples or case studies). Although I'd surely be happy if my university's graduates were to know everything about administering a Debian system, that would be wrong for a university to aim at; I'd criticize it the same way I currently criticize programs that mix together university formation and industry certification as if they were related.

Tanguy Ortolo: Process command line arguments in shell

When writing a wrapper script, one often has to process the command line arguments to transform them according to his needs, to change some arguments, to remove or insert some, or perhaps to reorder them.Naive approach The naive approach to do that is :
# Process arguments, building a new argument list
new_args=""
for arg in "$@"
do
    case "$arg"
    in
        --foobar)
            # Convert --foobar to the new syntax --foo=bar
            new_args="$args --foo=bar"
        ;;
        *)
            # Take other options as they are
            new_args="$args $arg"
        ;;
    esac
done
# Call the actual program
exec program $new_args
This naive approach is simple, but fragile, as it will break on arguments that contain a space. For instance, calling wrapper --foobar "some file" (where some file is a single argument) will result in the call program --foo=bar some file (where some and file are two distinct arguments). Correct approach To handle spaces in arguments, we need either: except standard shell does support arrays, or rather, it does support one specific array: the positional parameter list "$@" . This leads to one solution to process arguments in a reliable way, which consists in rebuilding the positional parameter list with the built-in command set --:
# Process arguments, building a new argument list in "$@"
# "$@" will need to be cleared, not right now but on first iteration only
first_iter=1
for arg in "$@"
do
    if [ "$first_iter" -eq 1 ]
    then
        # Clear the argument list
        set --
        first_iter=0
    fi
    case "$arg"
    in
        --foobar) set -- "$@" --foo=bar ;;
        *) set -- "$@" "$arg" ;;
    esac
done
# Call the actual program
exec program "$@"
Notes
  1. I you prefer, for arg in "$@" can be simplified to just for arg.
  2. As a reminder, and contrary to what it looks like, quoted "$@" does not expand to a single field, but to one field per positional parameter.

Lucas Nussbaum: Re: Sysadmin Skills and University Degrees

Russell Coker wrote about Sysadmin Skills and University Degrees. I couldn t agree more that a major deficiency in Computer Science degrees is the lack of sysadmin training. It seems like most sysadmins learned most of what they know from experience. It s very hard to recruit young engineers (freshly out of university) for sysadmin jobs, and the job interviews are often a bit depressing. Sysadmins jobs are also not very popular with this public, probably because university curriculums fail to emphasize what s exciting about those jobs. However, I think I disagree rather deeply with Russell s detailed analysis. First, Version Control. Well, I think that it s pretty well covered in university curriculums nowadays. From my point of view, teaching CS in Universit de Lorraine (France), mostly in Licence Professionnelle Administration de Syst mes, R seaux et Applications base de Logiciels Libres (warning: french), a BSc degree focusing on Linux systems administration, it s not usual to see student projects with a mandatory use of Git. And it doesn t seem to be a major problem for students (which always surprises me). However, I wouldn t rate Version Control as the most important thing that is required for a sysadmin. Similarly Dependencies and Backups are things that should be covered, but probably not as first class citizens. I think that there are several pillars in the typical sysadmin knowledge. First and foremost, sysadmins need a good understanding of the inner workings of an operating system. I sometimes feel that many Operating Systems Design courses are a bit too much focused on the Design side of things. Yes, it s useful to understand the low-level mechanisms, and be able to (mentally) recreate an OS from scratch. But it s also interesting to know how real systems are actually built, and what are the trade-off involved. I very much enjoyed reading Branden Gregg s Systems Performance: Enterprise and the Cloud because each chapter starts with a great overview of how things are in the real world, with a very good level of detail. Also, addressing OS design from the point of view of performance could be a way to turn those courses into something more attractive for students: many people like to measure, benchmark, optimize things, and it s quite easy to demonstrate how different designs, or different configurations, make a big difference in terms of performance in the context of OS design. It s possible to be a sysadmin and ignore, say, the existence of the VFS, but there s a large class of problems that you will never be able to solve. It can be a good trade-off for a curriculum (e.g. at the BSc level) to decide to ignore most of the low-level stuff, but it s important to be aware of it. Students also need to learn how to design a proper infrastructure (that meets requirements in terms of scalability, availability, security, and maybe elasticity). Yes, backups are important. But monitoring is, too. As well as high availability. In order to scale, it s important to be able to automatize stuff. Russell writes that Sysadmins need some programming skills, but that s mostly scripting and basic debugging. Well, when you design an infrastructure, or when you use configuration management tools such as Puppet, in some sense, you are programming, and in terms of needs to abstract things, it s actually similar to doing object-oriented programming, with similar choices (should I use that off-the-shelf puppet module, or re-develop my own? How should everything fit together?). Also, when debugging, it s often useful to be able to dig into code, understand what the developer was trying to do, and if the expected behavior actually matches what you are seeing. It often results in spending a lot of time to create a one-line fix, and it requires very advanced programming skills. Again, it s possible to be a sysadmin with only limited software development knowledge, but there s a large class of things that you are unlikely to address properly. I think that what makes sysadmins jobs both very interesting and very challenging is that they require a very wide range of knowledge. There s often the ability to learn about new stuff (much more than in software development jobs). Of course, the difficult question is where to draw the line. What is the sysadmin knowledge that every CS graduate should have, even in curriculums not targeting sysadmin jobs? What is the sysadmin knowledge for a sysadmin BSc degree? for a sysadmin MSc degree?

Russell Coker: Sysadmin Skills and University Degrees

I think that a major deficiency in Computer Science degrees is the lack of sysadmin training. Version Control The first thing that needs to be added is the basics of version control. CVS (which is now regarded as obsolete) was initially released when I was in the first year of university. But SCCS and RCS had been in use for some time. I think that the people who designed my course were remiss in not adding any mention of version control (not even strategies for saving old versions of your work), one could say that they taught us about version control by letting us accidentally delete our assignments. :-# If a course is aimed at just teaching programmers (as most CS degrees are) then version control for group assignments should be a standard part of the course. Having some marks allocated for the quality of comments in the commit log would also be good. A modern CS degree should cover distributed version control, that means covering Git as it s the most popular distributed version control system nowadays. For people who want to work as sysadmins (as opposed to developers who run their own PCs) a course should have an optional subject for version control of an entire system. That includes tools like etckeeper for version control of system configuration and tools like Puppet for automated configuration and system maintenance. Dependencies It s quite reasonable for a CS degree to provide simplified problems for the students to solve so they can concentrate on one task. But in the real world the problems are more complex. One of the more difficult parts of managing real systems is dependencies. You have issues of header files etc at compile time and library versions at deployment. Often you need a program to run on systems with different versions of the OS which means making it compile for both and deal with differences in behaviour. There are lots of hacky things that people do to deal with dependencies in systems. People link compiled programs statically, install custom versions of interpreters in user home directories or /usr/local for daemons, and do many other things. These things can have bad consequences including data loss, system downtime, and security problems. It s not always wrong to do such things, but it s something that should only be done with knowledge of the potential consequences and a plan for mitigating them. A CS degree should teach the potential advantages and disadvantages of these options to allow graduates to make informed decisions. Backups I ve met many people who call themselves computer professionals and think that backups aren t needed. I ve seen production systems that were designed in a way that backups were impossible. The lack of backups is a serious problem for the entire industry. Some lectures about backups could be part of a version control subject in a general CS degree. For a degree that majors in Sysadmin at least one subject about backups is appropriate. For any backup (even backing up your home PC) you should have offsite backups to deal with fire damage, multiple backups of different ages (especially important now that encryption malware is a serious threat), and a plan for how fast you can restore things. The most common use of backups is to deal with the case of deleting the wrong file. Unfortunately this case seems to be the most rarely mentioned. Another common situation that should be covered is a configuration error that results in a system that won t boot correctly. It s a very common problem and one that can be solved quickly if you are prepared but which can take a long time if you aren t. For a Sysadmin course it is important to cover backups of systems in remote datacenters. Hardware A good CS degree should cover the process of selecting suitable hardware. Programmers often get to advise on the hardware used to run their code, especially at smaller companies. Reliability features such as RAID, ECC RAM, and clustering should be covered. Planning for upgrades is a very important part of this which is usually not taught. Not only do you need to plan for an upgrade without much downtime or cost but you also need to plan for what upgrades are possible. Next year will your system require hardware that is more powerful than you can buy next year? If so you need to plan for a cluster now. For a Sysadmin course some training about selecting cloud providers and remote datacenter hosting should be provided. There are many complex issues that determine whether it s most appropriate to use a cloud service, hosted virtual machines, hosted physical servers managed by the ISP, hosted physical servers purchased by the client, or on-site servers. Often a large system will involve 2 or more of those options, even some small companies use 3 or more of those options to try and provide the performance and reliability they need at a price they can afford. We Need Sysadmin Degrees Covering the basic coding skills takes a lot of time. I don t think we can reasonably expect a CS degree to cover all that and also give good coverage to sysadmin work. While some basic sysadmin skills are needed by every programmer I think we need to have separate majors for people who want a career in system administration. Sysadmins need some programming skills, but that s mostly scripting and basic debugging. Someone who s main job is as a sysadmin can probably expect to never make any significant change to a program that s more than 10,000 lines long. A large amount of the programming in a CS degree can be replaced by file a bug report for a sysadmin degree. This doesn t mean that sysadmins shouldn t be doing software development or that they aren t good at it. One noteworthy fact is that it appears that the most common job among developers of the Debian distribution of Linux is System Administration. Developing an OS involves some of the most intensive and demanding programming. But I think that more than a few people who do such work would have skipped a couple of programming subjects in favour of sysadmin subjects if they were given a choice. Suggestions Did I miss anything? What other sysadmin skills should be taught in a CS degree? Do any universities teach these things now? If so please name them in the comments, it is good to help people find universities that teach them what they want to learn and help them in their career.

Francois Marier: Simple remote mail queue monitoring

In order to monitor some of the machines I maintain, I rely on a simple email setup using logcheck. Unfortunately that system completely breaks down if mail delivery stops. This is the simple setup I've come up with to ensure that mail doesn't pile up on the remote machine.

Server setup The first thing I did on the server-side is to follow Sean Whitton's advice and configure postfix so that it keeps undelivered emails for 10 days (instead of 5 days, the default):
postconf -e maximal_queue_lifetime=10d
Then I created a new user:
adduser mailq-check
with a password straight out of pwgen -s 32. I gave ssh permission to that user:
adduser mailq-check sshuser
and then authorized my new ssh key (see next section):
sudo -u mailq-check -i
mkdir ~/.ssh/
cat - > ~/.ssh/authorized_keys

Laptop setup On my laptop, the machine from where I monitor the server's mail queue, I first created a new password-less ssh key:
ssh-keygen -t ed25519 -f .ssh/egilsstadir-mailq-check
cat ~/.ssh/egilsstadir-mailq-check.pub
which I then installed on the server. Then I added this cronjob in /etc/cron.d/egilsstadir-mailq-check:
0 2 * * * francois /usr/bin/ssh -i /home/francois/.ssh/egilsstadir-mailq-check mailq-check@egilsstadir mailq   grep -v "Mail queue is empty"
and that's it. I get a (locally delivered) email whenever the mail queue on the server is non-empty. There is a race condition built into this setup since it's possible that the server will want to send an email at 2am. However, all that does is send a spurious warning email in that case and so it's a pretty small price to pay for a dirt simple setup that's unlikely to break.

7 June 2016

Enrico Zini: You'll thank me later

I agree with this post by Matthew Garrett. I am quite convinced that most of the communities that I have known are vulnerable to people who are good manipulators of people. Also, in my experience, manipulation by negating, pushing, or reframing the boundaries of people tends not to be recognised as manipulation, let alone abusive behaviour. It's not about physically forcing people to do things that they don't want to do. It's about pushing people, again and again, wearing them out, making them feel like, despite their actual needs and wants, saying "yes" to you is the only viable way out. It can happen for sex, and it can happen for getting a patch merged. It can happen out of habit. It can happen for pretty much anything. Consent culture was not part of my education, and it was something I've had to discover for myself. I assume that to be a common experience, and that pushing against boundaries does happen, even without malicious intentions, on a regular basis. However, it is not ok. Take insisting. It is not the same as persisting. Persisting is what I do when I advocate for change. Persisting is what I do when the first version of my code segfaults. Insisting is what I do when a person says "no" to me and I don't want to accept it. Is it ok to insist that a friend, whom you think is sick, goes and gets help? Is it ok to insist that a friend, whom you think is sexually repressed, pushes through their boundaries to explore their sexuality with you? In both cases, one may say, or think, trust me, you'll thank me afterwards. In both cases, what if afterwards I have nothing to thank you for? I see a common pattern in you'll thank me afterwards situations. It can be in good faith, it can be creepy, it can be abusive, and most of the time, what it is, is dangerously unclear to most of the people involved. I think that in a community like Debian, at the level of personal interaction, Insisting is not ok. I think that in a community like Debian, at the level of personal interaction, "You'll thank me afterwards" is not ok. When I say it's not ok I mean that it should not happen. If it happens, people must be free to say "stop". If it doesn't stop, people must expect to be able to easily find support, understanding, and help to make it stop. Just like when people upload untested packages. Pushing against personal boundaries of people is not ok, and pushing against personal boundaries does happen. When you get involved in a new community, such as Debian, find out early where, if that happens, you can find support, understanding, and help to make it stop. If you cannot find any, or if the only thing you can find is people who say "it never happens here", consider whether you really want to be in that community.

6 June 2016

John Goerzen: How git-annex replaces Dropbox + encfs with untrusted providers

git-annex has been around for a long time, but I just recently stumbled across some of the work Joey has been doing to it. This post isn t about it s traditional roots in git or all the features it has for partial copies of large data sets, but rather for its live syncing capabilities like Dropbox. It takes a bit to wrap your head around, because git-annex is just a little different from everything else. It s sort of like a different-colored smell. The git-annex wiki has a lot of great information both low-level reference and a high-level 10-minute screencast showing how easy it is to set up. I found I had to sort of piece together the architecture between those levels, so I m writing this all down hoping it will benefit others that are curious. Ir you just want to use it, you don t need to know all this. But I like to understand how my tools work. Overview git-annex lets you set up a live syncing solution that requires no central provider at all, or can be used with a completely untrusted central provider. Depending on your usage pattern, this central provider could require only a few MBs of space even for repositories containing gigabytes or terabytes of data that is kept in sync. Let s take a look at the high-level architecture of the tool. Then I ll illustrate how it works with some scenarios. Three Layers Fundamentally, git-annex takes layers that are all combined in Dropbox and separates them out. There is the storage layer, which stores the literal data bytes that you are interested in. git-annex indexes the data in storage by a hash. There is metadata, which is for things like a filename-to-hash mapping and revision history. And then there is an optional layer, which is live signaling used to drive the real-time syncing. git-annex has several modes of operation, and the one that enables live syncing is called the git-annex assistant. It runs as a daemon, and is available for Linux/POSIX platforms, Windows, Mac, and Android. I ll be covering it here. The storage layer The storage layer simply is blobs of data. These blobs are indexed by a hash, and can be optionally encrypted at rest at remote backends. git-annex has a large number of storage backends; some examples include rsync, a remote machine with git-annex on it that has ssh installed, WebDAV, S3, Amazon Glacier, removable USB drive, etc. There s a huge list. One of the git-annex features is that each client knows the state of each storage repository, as well as the capability set of each storage repository. So let s say you have a workstation at home and a laptop you take with you to work or the coffee shop. You d like changes on one to be instantly recognized on another. With something like Dropbox or OwnCloud, every file in the set you want synchronized has to reside on a server in the cloud. With git-annex, it can be configured such that the server in the cloud only contains a copy of a file until every client has synced it up, at which point it gets removed. Think about it that is often what you want anyhow, so why maintain an unnecessary copy after it s synced everywhere? (This behavior is, of course, configurable.) git-annex can also avoid storing in the cloud entirely if the machines are able to reach each other directly at least some of the time. The metadata layer Metadata about your files includes a mapping from the file names to the storage location (based on hashes), change history, and information about the status of each machine that participates in the syncing. On your clients, git-annex stores this using git. This detail is very useful to some, and irrelevant to others. Some of the git-annex storage backends can support only storage (S3, for instance). Some can support both storage and metadata (rsync, ssh, local drives, etc.) You can even configure a backend to support only metadata (more on why that may be useful in a bit). When you are working with a git-backed repository for git-annex, it can hold data, metadata, or both. So, to have a working sync system, you must have a way to transport both the data and the metadata. The transport for the metadata is generally rsync or git, but it can also be XMPP in which Git changesets are basically wrapped up in XMPP presence messages. Joey says, however, that there are some known issues with XMPP servers sometimes dropping or reordering some XMPP messages, so he doesn t encourage that method currently. The live signaling layer So once you have your data and metadata, you can already do syncs via git annex sync --contents. But the real killer feature here will be automatic detection of changes, both on the local and the remote. To do that, you need some way of live signaling. git-annex supports two methods. The first requires ssh access to a remote machine where git-annex is installed. In this mode of operation, when the git-annex assistant fires up, it opens up a persistent ssh connection to the remote and runs the git-annex-shell over there, which notifies it of changes to the git metadata repository. When a change is detected, a sync is initiated. This is considered ideal. A substitute can be XMPP, and git-annex actually converts git commits into a form that can be sent over XMPP. As I mentioned above, there are some known reliability issues with this and it is not the recommended option. Encryption When it comes to encryption, you generally are concerned about all three layers. In an ideal scenario, the encryption and decryption happens entirely on the client side, so no service provider ever has any details about your data. The live signaling layer is encrypted pretty trivially; the ssh sessions are, of course, encrypted and TLS support in XMPP is pervasive these days. However, this is not end-to-end encryption; those messages are decrypted by the service provider, so a service provider could theoretically spy on metadata, which may include change times and filenames, though not the contents of files themselves. The data layer also can be encrypted very trivially. In the case of the dumb backends like S3, git-annex can use symmetric encryption or a gpg keypair and all that ever shows up on the server are arbitrarily-named buckets. You can also use a gcrypt-based git repository. This can cover both data and metadata and, if the target also has git-annex installed, the live signalling layer. Using a gcrypt-based git repository for the metadata and live signalling is the only way to accomplish live syncing with 100% client-side encryption. All of these methods are implemented in terms of gpg, and can support symmetric of public-key encryption. It should be noted here that the current release versions of git-annex need a one-character patch in order to fix live syncing with a remote using gcrypt. For those of you running jessie, I recommend the version in jessie-backports, which is presently 5.20151208. For your convenience, I have compiled an amd64 binary that can drop in over /usr/bin/git-annex if you have this version. You can download it and a gpg signature for it. Note that you only need this binary on the clients; the server can use the version from jessie-backports without issue. Putting the pieces together: some scenarios Now that I ve explained the layers, let s look at how they fit together. Scenario 1: Central server In this scenario, you might have a workstation and a laptop that sync up with each other by way of a central server that also has a full copy of the data. This is the scenario that most closely resembles Dropbox, box, or OwnCloud. Here you would basically follow the steps in the git-assistant screencast: install git-annex on a server somewhere, and point your clients to it. If you want full end-to-end encryption, I would recommend letting git-annex generate a gpg keypair for you, which you would then need to copy to both your laptop and workstation (but not the server). Every change you make locally will be synced to the server, and then from the server to your other PC. All three systems would be configured in the client transfer group. Scenario 1a: Central server without a full copy of the data In this scenario, everything is configured the same except the central server is configured with the transfer transfer group. This means that the actual data synced to it is deleted after it has been propagated to all clients. Since git-annex can verify which repository has received a copy of which data, it can easily enough delete the actual file content from the central server after it has been copied to all the clients. Many people use something like Dropbox or OwnCloud as a multi-PC syncing solution anyhow, so once the files have been synced everywhere, it makes sense to remove them from the central server. This is often a good ideal for people. There are some obvious downsides that are sometimes relevant. For instance, to add a third sync client, it must be able to initially copy down from one of the existing clients. Or, if you intend to access the data from a device such as a cell phone where you don t intend for it to have a copy of all data all the time, you won t have as convenient way to download your data. Scenario 1b: Split data/metadata central servers Imagine that you have a shell or rsync account on some remote system where you can run git-annex, but don t have much storage space. Maybe you have a cheap VPS or shell account somewhere, but it s just not big enough to hold your data. The answer to this would be to use this shell or rsync account for the metadata, but put the data elsewhere. You could, for instance, store the data in Amazon S3 or Amazon Glacier. These backends aren t capable of storing the git-annex metadata, so all you need is a shell or rsync account somewhere to sync up the metadata. (Or, as below, you might even combine a fully distributed approach with this.) Then you can have your encrypted data pushed up to S3 or some such service, which presumably will grow to whatever size you need. Scenario 2: Fully distributed Like git itself, git-annex does not actually need a central server at all. If your different clients can reach each other directly at least some of the time, that is good enough. Of course, a given client will not be able to do fully automatic live sync unless it can reach at least one other client, so changes may not propagate as quickly. You can simply set this up by making ssh connections available between your clients. git-annex assistant can automatically generate appropriate ~/.ssh/authorized_keys entries for you. Scenario 2a: Fully distributed with multiple disconnected branches You can even have a graph of connections available. For instance, you might have a couple machines at home and a couple machines at work with no ability to have a direct connection between them (due to, say, firewalls). The two machines at home could sync with each other in real-time, as could the two machines at work. git-annex also supports things like USB drives as a transport mechanism, so you could throw a USB drive in your pocket each morning, pop it in to one client at work, and poof both clients are synced up over there. Repeat when you get home in the evening, and you re synced there. The USB drive s repository can, of course, be of the transport type so data is automatically deleted from it once it s been synced everywhere. Scenario 3: Hybrid git-annex can support LAN sync even if you have a central server. If your laptop, say, travels around but is sometimes on the same LAN as your PC, git-annex can easily sync directly between the two when they are reachable, saving a round-trip to the server. You can assign a cost to each remote, and git-annex will always try to sync first to the lowest-cost path that is available. Drawbacks of git-annex There are some scenarios where git-annex with the assistant won t be as useful as one of the more traditional instant-sync systems. The first and most obvious one is if you want to access the files without the git-annex client. For instance, many of the other tools let you generate a URL that you can email to people, and then they can download files without any special client software. This is not directly possible with git-annex. You could, of course, make something like a public_html directory be managed with git-annex, but it wouldn t provide things like obfuscated URLs, password-protected sharing, time-limited sharing, etc. that you get with other systems. While you can share your repositories with others that have git-annex, you can t share individual subdirectories; for a given repository, it is all or nothing. The Android client for git-annex is a pretty interesting thing: it is mostly a small POSIX environment, providing a terminal, git, gpg, and the same web interface that you get on a standalone machine. This means that the git-annex Android client is fully functional compared to a desktop one. It also has a quick setup process for syncing off your photos/videos. On the other hand, the integration with the Android ecosystem is poor compared to most other tools. Other git-annex features git-annex has a lot to offer besides the git-annex assistant. Besides the things I ve already mentioned, any given git-annex repository including your client repository can have a partial copy of the full content. Say, for instance, that you set up a git-annex repository for your music collection, which is quite large. You want some music on your netbook, but don t have room for it all. You can tell git-annex to get or drop files from the netbook s repository without deleting them remotely. git-annex has quite a few ways to automate and configure this, including making sure that at least a certain number of copies of a file exist in your git-annex ecosystem. Conclusion I initially started looking at git-annex due to the security issues with encfs, and the difficulty with setting up ecryptfs in this way. (I had been layering encfs atop OwnCloud). git-annex certainly ticks the box for me security-wise, and obviously anything encrypted with encfs wasn t going to be shared with others anyhow. I ll be using git-annex more in the future, I m sure.

Scarlett Clark: Debian: Reproducible builds Week 2

This was a holiday week for me, so my time was rather crammed into a short space.
I still managed to make progress though. kapptemplate:
https://bugs.kde.org/show_bug.cgi?id=363448
I was given the green light to push this upstream. So this will eventually trickle down and all will benefit, not just debian.
I will leave bug open though as it will need to be applied to all the releases I expect.
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=825122 choqok:
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=825322
For this I was able to come up with a patch for kconfig_compiler to encode generated files to utf-8.
Review request is here:
https://git.reviewboard.kde.org/r/128102/ kxmlgui:
WIP this has been a steep learning curve, according to the notes it was an easy embedded kernel version, that was not the case! After grueling hours of
trying to sort out randomness in debug output I finally narrowed it down to cases where QStringLiteral was used and there were non letter characters eg. ( <") These were causing debug symbols to generate with ( lambda() ) which caused unreproducible symbol/debug files. It is now a case of fixing all of these in the code to use QString::fromUtf8 seems to fix this. I am working on a mega patch for upstream and it should be ready early in the week. Other items were minor and not notable enough to blog about  Have a great day.

5 June 2016

Petter Reinholdtsen: A program should be able to open its own files on Linux

Many years ago, when koffice was fresh and with few users, I decided to test its presentation tool when making the slides for a talk I was giving for NUUG on Japhar, a free Java virtual machine. I wrote the first draft of the slides, saved the result and went to bed the day before I would give the talk. The next day I took a plane to the location where the meeting should take place, and on the plane I started up koffice again to polish the talk a bit, only to discover that kpresenter refused to load its own data file. I cursed a bit and started making the slides again from memory, to have something to present when I arrived. I tested that the saved files could be loaded, and the day seemed to be rescued. I continued to polish the slides until I suddenly discovered that the saved file could no longer be loaded into kpresenter. In the end I had to rewrite the slides three times, condensing the content until the talk became shorter and shorter. After the talk I was able to pinpoint the problem kpresenter wrote inline images in a way itself could not understand. Eventually that bug was fixed and kpresenter ended up being a great program to make slides. The point I'm trying to make is that we expect a program to be able to load its own data files, and it is embarrassing to its developers if it can't. Did you ever experience a program failing to load its own data files from the desktop file browser? It is not a uncommon problem. A while back I discovered that the screencast recorder gtk-recordmydesktop would save an Ogg Theora video file the KDE file browser would refuse to open. No video player claimed to understand such file. I tracked down the cause being file --mime-type returning the application/ogg MIME type, which no video player I had installed listed as a MIME type they would understand. I asked for file to change its behavour and use the MIME type video/ogg instead. I also asked several video players to add video/ogg to their desktop files, to give the file browser an idea what to do about Ogg Theora files. After a while, the desktop file browsers in Debian started to handle the output from gtk-recordmydesktop properly. But history repeats itself. A few days ago I tested the music system Rosegarden again, and I discovered that the KDE and xfce file browsers did not know what to do with the Rosegarden project files (*.rg). I've reported the rosegarden problem to BTS and a fix is commited to git and will be included in the next upload. To increase the chance of me remembering how to fix the problem next time some program fail to load its files from the file browser, here are some notes on how to fix it. The file browsers in Debian in general operates on MIME types. There are two sources for the MIME type of a given file. The output from file --mime-type mentioned above, and the content of the shared MIME type registry (under /usr/share/mime/). The file MIME type is mapped to programs supporting the MIME type, and this information is collected from the desktop files available in /usr/share/applications/. If there is one desktop file claiming support for the MIME type of the file, it is activated when asking to open a given file. If there are more, one can normally select which one to use by right-clicking on the file and selecting the wanted one using 'Open with' or similar. In general this work well. But it depend on each program picking a good MIME type (preferably a MIME type registered with IANA), file and/or the shared MIME registry recognizing the file and the desktop file to list the MIME type in its list of supported MIME types. The /usr/share/mime/packages/rosegarden.xml entry for the Shared MIME database look like this:
<?xml version="1.0" encoding="UTF-8"?>
<mime-info xmlns="http://www.freedesktop.org/standards/shared-mime-info">
  <mime-type type="audio/x-rosegarden">
    <sub-class-of type="application/x-gzip"/>
    <comment>Rosegarden project file</comment>
    <glob pattern="*.rg"/>
  </mime-type>
</mime-info>
This states that audio/x-rosegarden is a kind of application/x-gzip (it is a gzipped XML file). Note, it is much better to use an official MIME type registered with IANA than it is to make up ones own unofficial ones like the x-rosegarden type used by rosegarden. The desktop file of the rosegarden program failed to list audio/x-rosegarden in its list of supported MIME types, causing the file browsers to have no idea what to do with *.rg files:
% grep Mime /usr/share/applications/rosegarden.desktop
MimeType=audio/x-rosegarden-composition;audio/x-rosegarden-device;audio/x-rosegarden-project;audio/x-rosegarden-template;audio/midi;
X-KDE-NativeMimeType=audio/x-rosegarden-composition
%
The fix was to add "audio/x-rosegarden;" at the end of the MimeType= line. If you run into a file which fail to open the correct program when selected from the file browser, please check out the output from file --mime-type for the file, ensure the file ending and MIME type is registered somewhere under /usr/share/mime/ and check that some desktop file under /usr/share/applications/ is claiming support for this MIME type. If not, please report a bug to have it fixed. :)

3 June 2016

Eduard Sanou: No more unencrypted emails to gpg contacts

I have been using mutt for about half a year already and I m very happy with it. The previous email client I used was Thunderbird (with the Enigmail extension to handle GPG). There were two main reasons that made me switch. The first one was that I often would like to check my email while I m offline, and it seems that Thunderbird is not very good at this. Sometimes not all my email would have been downloaded (just the headers), and I also found it frustrating that after marking more than 50 emails as read while offline, they would be marked as unread again once I went back online. With mutt I m using mbsync (which apparently is faster than offlineimap) to sync my email to a local folder with a cron job. I couldn t be happier. The other issue was that I like having many filters, and it was tedious to customize filters in Thunderbird: there s no way to copy a filter and modify it, and there s a limit in the combinations of ANDs and ORs for fields. I m using procmail now, which allows me save the filter configuration in plaintext and define patterns with more flexibility. The setup for mutt took several weeks, but I never felt that I couldn t accomplish what I wanted (unlike in Thunderbird). I m using mutt with several python and bash scripts that I wrote. But the reason for this post is an issue that I believe happens in every email client (or should I say, MUA, to be more precise). I ve seen it happening to people using both Thunderbird and mutt, and I bet it has happened in other cases: sending an email to someone for which you have their GPG key unencrypted unwillingly. I ve seen this happening in email replies with several participants: after a few encrypted messages are exchanged, someone replies in the clear, quoting all the previous messages. I tried to avoid this by configuring mutt to encrypt and sign by default, forcing me to set sign only manually before sending every email that I can t send encrypted (I d like to send all my emails encrypted, but not everybody has a GPG key :( ). So what happened? I got so used to sending many unencrypted emails that I would press P S (PGP setting, Sign only) before sending emails as a reflex act. And I sent an email unencrypted to a friend for which I have his GPG key :( So I thought: It s a very rare case to want to send an unencrypted email to someone for which you have their GPG key. I think extensions like Enigmail should give you a warning when this happens, to alert you about it. In my case, I solved it with a python script that inspects the email, and, if it s unencrypted and the recipient/s is/are in your GPG keyring it warns you about it and returns an error. The script stores a temporary file with the Message-ID so that if you run it again with the same email it will properly send the email without returning an error. Now, I only needed to configure mutt to use this script as the sendmail command:
per_account:set sendmail  = "$HOME/bin/check-mail-gpg /usr/bin/msmtp -a $my_email"
And here goes the python script check-mail-gpg:
#! /usr/bin/python3
import os
import sys
import subprocess
import email.parser
from email.header import decode_header
from email.utils import parseaddr
STATUS_FILE = '/tmp/check-mail-gpg.tmp'
def dec(header):
    head = decode_header(header)
    if len(head) == 1 and head[0][1] == None:
        return head[0][0]
    else:
        return ''.join([h.decode(enc) if enc else h.decode('ascii') \
                for (h,enc) in head])
def send_mail(mail):
    print('Calling external email client to send the email...')
    #return -1 # testing mode
    p = subprocess.Popen(sys.argv[1:], stdin=subprocess.PIPE)
    p.stdin.write(mail.encode('utf-8'))
    p.stdin.close()
    return p.wait()
def main():
    mail = sys.stdin.read()
    heads = email.parser.Parser().parsestr(mail, headersonly=True)
    content = heads['Content-Type'].split(';')[0].strip()
    print('Content is:', content)
    if content == 'multipart/encrypted':
        print('Ok: encrypted mail, we can return now...')
        sys.exit(send_mail(mail))
    addrs = [parseaddr(addr) for addr in heads['To'].split(',')]
    print('Found emails:', addrs)
    gpg_cnt = 0
    for name, addr in addrs:
        print('Looking for', addr, 'in the keyring...')
        res = subprocess.call(['gpg', '--list-keys', addr],
                stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
        if res == 0:
            gpg_cnt += 1
    if gpg_cnt == 0:
        print('Ok: no email found in the gpg keyring, we can return now...')
        sys.exit(send_mail(mail))
    if not os.path.exists(STATUS_FILE):
        open(STATUS_FILE, 'w').close()
    msg_id = heads['Message-ID']
    msg_id_prev = ''
    with open(STATUS_FILE, 'r') as f:
        msg_id_prev = f.read()
    if msg_id.strip() == msg_id_prev.strip():
        sys.exit(send_mail(mail))
    else:
        with open(STATUS_FILE, 'w') as f:
            f.write(msg_id)
        print('Alert: trying to send an unencrypted email to', addrs,
                ', for which some gpg keys were found in the keyring!')
        print('Try again if you are sure to send this message unencrypted.')
        sys.exit(1)
if __name__ == '__main__':
    main()

Update I ve been told about the option crypt_opportunistic_encrypt in mutt, which provides a feature very similar to what I was looking for. This option will automatically enable encryption when the recipient has a GPG key in your keyring. From mutt s man page:
3.41. crypt_opportunistic_encrypt Type: boolean Default: no Setting this variable will cause Mutt to automatically enable and disable encryption, based on whether all message recipient keys can be located by mutt. When this option is enabled, mutt will determine the encryption setting each time the TO, CC, and BCC lists are edited. If $edit_headers is set, mutt will also do so each time the message is edited. While this is set, encryption settings can t be manually changed. The pgp or smime menus provide an option to disable the option for a particular message. If $crypt_autoencrypt or $crypt_replyencrypt enable encryption for a message, this option will be disabled for the message. It can be manually re-enabled in the pgp or smime menus. (Crypto only)

Gunnar Wolf: Stop it with those short PGP key IDs!

Debian is quite probably the project that most uses a OpenPGP implementation (that is, GnuPG, or gpg) for many of its internal operations, and that places most trust in it. PGP is also very widely used, of course, in many other projects and between individuals. It is regarded as a secure way to do all sorts of crypto (mainly, encrypting/decrypting private stuff, signing public stuff, certifying other people's identities). PGP's lineage traces back to Phil Zimmerman's program, first published in 1991 By far, not a newcomer PGP is secure, as it was 25 years ago. However, some uses of it might not be so. We went through several migrations related to algorithmic weaknesses (i.e. v3 keys using MD5; SHA1 is strongly discouraged, although not yet completely broken, and it should be avoided as well) or to computational complexity (as the migration away from keys smaller than 2048 bits, strongly prefering 4096 bits). But some vulnerabilities are human usage (that is, configuration-) related. Today, Enrico Zini gave us a heads-up in the #debian-keyring IRC channel, and started a thread in the debian-private mailing list; I understand the mail to a private list was partly meant to get our collective attention, and to allow for potentially security-relevant information to be shared. I won't go into details about what is, is not, should be or should not be private, but I'll post here only what's public information already. What are short and long key IDs? I'll start by quoting Enrico's mail:
there are currently at least 3 ways to refer to a gpg key: short key ID (last 8 hex digits of fingerprint), long key ID (last 16 hex digits) and full fingerprint. The short key ID used to be popular, and since 5 years it is known that it is computationally easy to generate a gnupg key with an arbitrary short key id. A mitigation to this is using "keyid-format long" in gpg.conf, and a better thing to do, especially in scripts, is to use the full fingerprint to refer to a key, or just ship the public key for verification and skip the key servers. Note that in case of keyid collision, gpg will download and import all the matching keys, and will use all the matching keys for verifying signatures.
So... What is this about? We humans are quite bad at recognizing and remembering randomly-generated strings with no inherent patterns in them. Every GPG key can be uniquely identified by its fingerprint, a 128-bit string, usually encoded as ten blocks of four hexadecimal characters (this allows for 160 bits; I guess there's space for a checksum in it). That is, my (full) key's signature is:
AB41 C1C6 8AFD 668C A045  EBF8 673A 03E4 C1DB 921F
However, it's quite hard to recognize such a long string, let alone memorize it! So, we often do what humans do: Given that strong cryptography implies a homogenous probability distribution, people compromised on using just a portion of the key the last portion. The short key ID. Mine is then the last two blocks (shown in boldface): C1DB921F. We can also use what's known as the long key ID, that's twice as long: 64 bits. However, while I can speak my short key ID on a single breath (and maybe even expect you to remember and note it down), try doing so with the long one (shown in italics above): 673A03E4C1DB921F. Nah. Too much for our little, analog brains. This short and almost-rememberable number has then 32 bits of entropy I have less than one in 4,000,000,000 chance of generating a new key with this same short key ID. Besides, key generation is a CPU-intensive operation, so it's quite unlikely we will have a collision, right? Well, wrong. Previous successful attacks on short key IDs Already five years ago, Asheesh Laroia migrated his 1024D key to a 4096R. And, as he describes in his always-entertaining fashion, he made his computer sweat until he was able to create a new key for which the short key ID collided with the old one. It might not seem like a big deal, as he did this non-maliciously, but this easily should have spelt game over for the usage of short key IDs. After all, being able to generate a collision is usually the end for cryptographic systems. Asheesh specifically mentioned in his posting how this could be abused. But we didn't listen. Short key IDs are just too convenient! Besides, they allow us to have fun, can be a means of expression! I know of at least two keys that would qualify as vanity: Obey Arthur Liu's 0x29C0FFEE (created in 2009) and Keith Packard's 0x00000011 (created in 2012). Then we got the Evil 32 project. They developed Scallion, started (AFAICT) in 2012. Scallion automates the search for a 32-bit collision using GPUs; they claim that it takes only four seconds to find a collision. So, they went through the strong set of the public PGP Web of Trust, and created a (32-bit-)colliding key for each of the existing keys. And what happened now? What happened today? We still don't really know, but it seems we found a first potentially malicious collision that is, the first "nonacademic" case. Enrico found two keys sharing the 9F6C6333 short ID, apparently belonging to the same person (as would be the case of Asheesh, mentioned above). After contacting Gustavo, though, he does not know about the second That is, it can be clearly regarded as an impersonation attempt. Besides, what gave away this attempt are the signatures it has: Both keys are signed by what appears to be the same three keys: B29B232A, F2C850CA and 789038F2. Those three keys are not (yet?) uploaded to the keyservers, though... But we can expect them to appear at any point in the future. We don't know who is behind this, or what his purpose is. We just know this looks very evil. Now, don't panic: Gustavo's key is safe. Same for his certifiers, Marga, Agust n and Maxy. It's just a 32-bit collision. So, in principle, the only parties that could be cheated to trust the attacker are humans, right? Nope. Enrico tested on the PGP pathfinder & key statistics service, a keyserver that finds trust paths between any two arbitrary keys in the strong set. Surprise: The pathfinder works on the short key IDs, even when supplied full fingerprints. So, it turns out I have three faked trust paths into our impostor. What next? There are several things this should urge us to do. And there are surely many other important recommendations. But this is a good set of points to start with. [update] I was pointed at Daniel Kahn Gillmor's 2013 blog post, OpenPGP Key IDs are not useful. Daniel argues, in short, that cutting a fingerprint in order to get a (32- or 64-bit) short key ID is the worst of all worlds, and we should rather target either always showing full fingerprints, or not showing it at all (and leaving all the crypto-checking bits to be done by the software, as comparing 160-bit strings is not natural for us humans). [update] This post was picked up by LWN.net. A very interesting discussion continues in their comments.

Simon D saulniers: Google Summer Of Code

I am part of the group of students working with the Debian organization. You can see my profile on the Debian wiki here.

Improving distributed and secure communication using free software This the title of my project for this summer. It sounds good, but what am I going to really do? Well, since I m a student at Universit du Qu bec Montr al, I have had the opportunity to meet with the company Savoir-Faire Linux in Montreal last year and that s when I found out about their exciting project: Ring.
Ring is one of the few projects which bring communication confidentiality and freedom in the hands of the users.

OpenDHT Ring is divided in multiple components as explained here: https://ring.cx/en/about/technical. The component I work on is called OpenDHT. This is the distributed hash table which enables Ring users to communicate in a decentralized network. I have already been working on this project for a year now, so you won t see me posting reports where I say I have to find my way around in this project. In fact, I have contributed to rewriting a major part of the code for better maintainability. In the begining of last summer, I was able to be part of a research association between Savoir-Faire Linux and Universit du Qu bec Montr al. We have been working on adding two major features to OpenDHT.

Short introduction to Distributed Hash Tables OpenDHT is based on the Kademlia design. If you know about DHTs, you are aware that they define the notion of distance using the XOR metric. This makes the tuple (H_n, xor) a metric space, where H_n is the space of identifier keys of length n. This way, you can find an identifier be the closest to a target hash than the rest of the nodes in the network.
In order to find some data that is associated with some hash h, you have to find the nodes in the network for which the distance between their hash identifier and the target hash h is minimized. The group of nodes which are the closest to the target hash (OpenDHT allows up to 8 nodes) will hold data for that hash.

Data persistence Let s say you ask a group of 8 nodes to hold some data for a hash and you want the data to hold the whole time until its expiration time as come. If the group of 8 nodes change because that for some reason those nodes leave or others just arrive and have an id that is closer to the target hash than the initial group of 8 nodes. The data would then not be found on the new group of 8 nodes. A first and simple solution was to count on the initial creator of the value to periodically announce the value to the group of 8 nodes. However, what if this node leaves? This is one of the main problem that I ve been working on solving since 2015. A first version of this was produced on September 2015. However, we experienced traffic issues and were forced to redesign the OpenDHT network requests engine. We are presently working on adding a Query feature that would enable filtering of data on remote nodes, hence substantially lowering the overall traffic produced by a response to a get request.

Indexation During the last year, I have also been working on the design of a solution for the use case of indexation. In a more technical way, this is the capability to find data by providing a map where its key is a string field and the mapped value is the value associated to that field, much like in a form. This could help find data for which you don t know the hash, but you have specific information about its content. In other words, this would be a search engine for OpenDHT. I have already created a working, but still in progress, version of this. You can find it on http://opendht.net, on the index branch. Now, Nicolas Reynaud (kaldoran) is contributing to this during the GSOC.

Roadmap As I explained on my page on the Debian Wiki, I am going to work on:
  1. Developing new functionalities in OpenDHT aiming at reducing overall generated traffic.
  2. Maintenance and optimization of the OpenDHT code in general.
  3. Optimizing data persistence solution over the distributed hash table.
  4. Merge (1) in the Ring daemon component in order to benefit from lower traffic in Ring.
  5. Make OpenDHT use TCP protocol instead of UDP. This is going to reduce code complexity and enhance robsutness of the DHT.
For further details, read my reports!

2 June 2016

Satyam Zode: GSoC 2016 Week 1: Reproducible Builds in Debian

This is a concise report on my previous week. I started working from 28 May as the exams ended. This report is bit late. I started work on hide=profiles flag. Till now, I did/doing following tasks: Lunar suggested me to create the specification for hide=profiles. It can be found here https://wiki.debian.org/ReproducibleBuilds/HideProfilesSpecification General purpose of addition of hide=profiles to diffoscope is because we want to provide an alternative for tool like OBS pkg-diff. We want to increase userbase of diffoscope and thus number of contributors. Hopefully, I will finish this part as soon as possible. We are still discussing, how things should be done! Right now, I am researching diff of unreproducible packages and trying to develop use cases. I will update the HideProfilesSpecification wiki with my findings. Lunar has given me a proper directions and community is very much helpful. :) My goal for an upcoming week is to search for packages which are unreproducible and generate use cases for diffoscope. This week I will also try to fix the reproducibility of Debian packages. I am loving, contributing to Debian and free software and it s a great learning experience. Many things to come in upcoming time :)

1 June 2016

Russell Coker: I Just Ordered a Nexus 6P

Last year I wrote a long-term review of Android phones [1]. I noted that my Galaxy Note 3 only needed to last another 4 months to be the longest I ve been happily using a phone. Last month (just over 7 months after writing that) I fell on my Note 3 and cracked the screen. The Amourdillo case is good for protecting the phone [2] so it would have been fine if I had just dropped it. But I fell with the phone in my hand, the phone landed face down and about half my body weight ended up in the middle of the phone which apparently bent it enough to crack the screen. As a result of this the GPS seems to be less reliable than it used to be so there might be some damage to the antenna too. I was quoted $149 to repair the screen, I could possibly have found a cheaper quote if I had shopped around but it was a good starting point for comparison. The Note 3 originally cost $550 including postage in 2014. A new Note 4 costs $550 + postage now from Shopping Square and a new Note 3 is on ebay with a buy it now price of $380 with free postage. It seems like bad value to pay 40% of the price of a new Note 3 or 25% the price of a Note 4 to fix my old phone (which is a little worn and has some other minor issues). So I decided to spend a bit more and have a better phone and give my old phone to one of my relatives who doesn t mind having a cracked screen. I really like the S-Pen stylus on the Samsung Galaxy Note series of phones and tablets. I also like having a hardware home button and separate screen space reserved for the settings and back buttons. The downsides to the Note series are that they are getting really expensive nowadays and the support for new OS updates (and presumably security fixes) is lacking. So when Kogan offered a good price on a Nexus 6P [3] with 64G of storage I ordered one. I m going to give the Note 3 to my father, he wants a phone with a bigger screen and a stylus and isn t worried about cracks in the screen. I previously wrote about Android device service life [4]. My main conclusion in that post was that storage space is a major factor limiting service life. I hope that 64G in the Nexus 6P will solve that problem, giving me 3 years of use and making it useful to my relatives afterwards. Currently I have 32G of storage of which about 8G is used by my music video collection and about 3G is free, so 64G should last me for a long time. Having only 3G of RAM might be a problem, but I m thinking of trying CyanogenMod again so maybe with root access I can reduce the amount of RAM use.

31 May 2016

Chris Lamb: Free software activities in May 2016

Here is my monthly update covering a large part of what I have been doing in the free software world (previously):
Debian My work in the Reproducible Builds project was covered in our weekly reports. (#53, #54, #55, #56 & #57)
Debian LTS

This month I have been paid to work 18 hours on Debian Long Term Support (LTS). In that time I did the following:
  • A week of "frontdesk" duties, triaging CVEs, assigning tasks, etc.
  • Issued DLA 464-1 for libav, a multimedia player, server, encoder and transcoder library that fixed a use-after free vulnerability.
  • Issued DLA 469-1 for libgwenhywfar (an OS abstraction layer that allows porting of software to different operating systems like Linux, *BSD, Windows, etc.) correcting the use of an outdated CA certificate bundle.
  • Issued DLA 470-1 for libksba, a X.509 and CMS certificate support library. patching a buffer vulnerability.
  • Issued DLA 474-1 for dosfstools, a collection of utilities for making and checking MS-DOS FAT filesystems, fixing an invalid memory and heap overflow vulnerability.
  • Issued DLA 482-1 for libgd2 graphics library, rectifying a stack consumption vulnerability.

Uploads
  • python-django (1.9.6-1) New upstream bugfix release.
  • redis (3.2.0-1, etc.) New upstream release, correct build on more exotic architectures and minor packaging fixups.
  • gunicorn (19.5.0-1 & 19.6.0-1) New upstream releases and minor packaging fixups.



30 May 2016

Daniel Stender: My work for Debian in May

No double posting this time ;-) I've got not so much spare time this month to spend on Debian, but I could work on the following packages: This series of blog postings also includes little introductions of and into new packages in the archive. This month there is: Pyinfra Pyinfra is a new project which is currently still in development state. It has been already pointed out in an interesting German article1, and is now available as package maintained within the Python Applications Team. It's currently a one man production by Nick Barrett, and eagerly developed in the past weeks (we're currently at 0.1~dev24). Pyinfra is a remote server configuration/provisioning/service deployment tool which belongs in the same software category like Puppet or Ansible2. It's for provisioning one or an array of remote servers with software packages and to configure them. Pyinfra runs agentless like Ansible, that means for using it nothing special (like a daemon) has to run on targeted servers. It's written to be used for provisioning POSIX compatible Linux systems and has alternatives when it comes to special features like package managers (e.g. supports apt as well as yum). The documentation could be found in usr/share/doc/pyinfra/html/. Here's a little crash course on how to use Pyinfra: The pyinfra CLI tool is used on the command line like this, deploy scripts, single operations or facts (see below) could be used on a single server or a multitude of remote servers:
$ pyinfra -i <inventory script/single host> <deploy script>
$ pyinfra -i <inventory script/single host> --run <operation>
$ pyinfra -i <inventory script/single host> --facts <fact>
Remote servers which are operated on must provide a working shell and they must be reachable by SSH. For connecting, --port, --user, --password, --key/--key-password and --sudo flags are available, --sudo to gain superuser rights. Root access or sudo rights of course have to be already set up. By the way, localhost could be operated on the same way. Single operations are organized in modules like "apt", "files", "init", "server" etc. With the --run option they could be used individually on servers like follows, e.g. server.user adds a new user on a single targeted system (-v adds verbosity to the pyinfra run):
$ pyinfra -i 192.0.2.10 --run server.user sam --user root --key ~/.ssh/sshkey --key-password 123456 -v
Multiple servers can be grouped in inventories, which hold the targeted hosts and data associated with them, like e.g. an inventory file farm1.py would contain lists like this:
COMPUTE_SERVERS = ['192.0.2.10', '192.0.2.11']
DATABASE_SERVERS = ['192.0.2.20', '192.0.2.21']
Group designators must be all caps. A higher level of grouping are the file names of inventory scripts, thus COMPUTE_SERVERS and DATABASE_SERVERS can be referenced to at the same time by the group designator farm1. Plus, all servers are automatically added to the group all. And, inventory scripts should be stored in the subfolder inventory/ in the project directory. Inventory files then could be used instead of specific IP addresses like this, the single operation then gets performed on all given machines in farm1.py:
$ pyinfra -i inventory/farm1.py  --run server.user sam --user root --key ~/.ssh/sshkey --key-password=123456 -v
Deployment scripts could be used together with group data files in the subfolder group_data/ in the project directory. For example, a group_data/farm1.py designates all servers given in inventory/farm1.py (by the way, all.py designates all servers), and contains the random attribute user_name (attributes must be lowercase), next to authentication data for the whole inventory group:
user_name = 'sam'
ssh_user = 'root'
ssh_key = '~/.ssh/sshkey'
ssh_key_password = '123456'
The random attribute can be picked up by a deployment script using host.data() like follows, user_name could be used again for e.g. server.user(), like this:
from pyinfra import host
from pyinfra.modules import server
server.user(host.data.user_name)
This deploy, the ensemble of inventory file, group data file and deployment script (usually placed top level in the project folder) then could be run that way:
$ pyinfra -i inventory/farm1.py deploy.py
You have guessed it, since deployment scripts are Python scripts they are fully programmable (please regard that Pyinfra is build & runs on Python 3 on Debian), and that's the main advantage point with this piece of software. Quite handy for that come Pyinfra facts, functions which check different things on remote systems and return information as Python data. Like e.g. deb_packages returns a dictionary of installed packages from a remote apt based server:
$ pyinfra -i 192.0.2.10 --fact deb_packages --user root --key ~/.ssh/sshkey --key-password=123456
 
    "192.0.2.10":  
        "libdebconfclient0": "0.192",
        "python-debian": "0.1.27",
        "libavahi-client3": "0.6.31-5",
        "dbus": "1.8.20-0+deb8u1",
        "libustr-1.0-1": "1.0.4-3+b2",
        "sed": "4.2.2-4+b1",
Using facts, Pyinfra reveals its full potential. For example, a deployment script could go like this, linux.distribution() returns a dict containing the installed distribution:
from pyinfra import host
from pyinfra.modules import apt
if host.fact.linux_distribution['name'] == 'Debian':
   apt.packages(packages='gummi', present=True, update=True)
elif host.fact.linux_distribution['name'] == 'CentOS':
   pass
I'll spare more sophisticated examples to keep this introduction simple. Beyond fancy deployment scripts, Pyinfra features an own API by which it could be programmed from the outside, and much more. But maybe that's enough to introduce Pyinfra. That are the usage basics. Pyinfra is a brand new project and it remains to be seen whether the developer can keep on further developing the tool like he does these days. For a private project it's insane to attempt to become a contender for the established "big" free configuration management tools and frameworks, but, if Puppet has become too complex in the meanwhile or not3, I really don't think that's the point here. Pyinfra follows an own approach in being programmable the way which it is. And it's definitely not harm to have it in the toolbox already, not trying to replace nothing. Brainstorm After the first package has been in experimental, the Brainstorm library from Swiss AI research institute IDSIA4 is now available as python3-brainstorm in unstable. Brainstorm is a lean, easy-to-use library for setting up deep learning networks (multiple layered artificial neural networks) for machine learning applications like for image and speech recognition or natural language processing. To set up a working training network for a classifier for handwritten digits like the MNIST dataset (a usual "hello world") just takes a couple of lines, like an example demonstrates. The package is maintained within the Debian Python Modules Team. The Debian package ships a couple of examples in /usr/share/python3-brainstorm/examples (the data/ and examples/ folders of the upstream tarball are combined here). Among them there are5: The current documentation in /usr/share/doc/python3-brainstorm/html/ isn't complete yet (several chapters are under construction), but there's a walkthrough on the CIFAR-10 example. The MNIST example has been extended by Github user pinae, and has been explained in German C't recently6. What are the perspectives for further development? Like Zhou Mo confirmed, there are a couple of deep learning frameworks around having a rather poor outlook since there have been abandoned after being completed as PhD projects. There's really no point for thriving to have them all in Debian, like the ITP of Minerva has been given up partly for this reason, there weren't any commits since 08/2015 (and because cuDNN isn't available and most likely won't). Brainstorm, 0.5 have been released 05/2015, also was a PhD project as IDSIA. It's stated on Github that the project is "under active development", but the rather sparse project page on the other side expresses the "hope the community will help us to further improve Brainstorm". This sentence much often implies that the developers are not actively working on the project. But there are recent commits and it looks that upstream is active and could be reached when there are problems, and that the project is active. So I don't think we're riding a dead horse, here. The downside for Brainstorm in Debian is, it seems that the libraries which are needed for GPU accelerated processing can't be fully provided. Pycuda is available, but scikit-cuda (an additional library which provides wrappers for CUDA features like CUBLAS, CUFFT and CUSOLVER) is not and won't be, because the CULA Dense Toolkit (scikit-cuda also contains wrappers for also that) is not available freely as source. Because of that, a dependency against pycuda, not even as Suggests (it's non-free), has been spared. Without GPU acceleration, Brainstorm computes the matrices on openBLAS using a Cython wrapper on the NumpyHandler, and the PyCudaHandler couldn't be used. openBLAS makes pretty good use of the available hardware (it distributes over all available CPU cores), but it's not yet possible to run Brainstorm full throttle using available floating point devices to reduce training times, which becomes crucial when the projects are getting bigger. Brainstorm belongs to the number of deep learning frameworks already being or becoming available in Debian. Currently there is: I've checked over Microsoft's CNTK, but although it's also set free recently I have my doubts if that could be included. Apparently there are dependencies against non-free software and most likely other issues. So much for a little update on the state of deep learning in Debian, please excuse if my radar misses something.

  1. Tim Sch rmann: "Schlangen l: Automatisiertes Service-Deployment mit Pyinfra". In: IT-Administrator 05/2016, pp. 90-95.
  2. For a comparison of configuration management software like this, see B wetter/Johannsen/Steig: "Baukastensysteme: Konfigurationsmanagement mit Open-Source-Software". In: iX 04/2016, pp. 94-99 (please excuse the prevalence of German articles in the pointers, I've just have them at hand).
  3. On the points of critique on Puppet, see Martin Loschwitz: "David gegen Goliath Zwei Welten treffen aufeinander: Puppet und Ansible". In Linux-Magazin 01/2016, 50-54.
  4. See the interview with IDSIA's deep learning guru J rgen Schmidhuber in German C't 2014/09, p. 148
  5. The examples scripts need some more finetuning. To run the data creation scripts in place the environment variable BRAINSTORM_DATA_DIR could be set, but the trained networks are currently tried to write in place. So please copy the scripts into some workspace if you want to try them out. I'll patch the example scripts to run out-of-the-box, soon.
  6. Johannes Merkert: "Ziffernlerner. Ein k nstliches neuronales Netz selber gebaut". In: C't 2016/06, p. 142-147. Web: http://www.heise.de/ct/ausgabe/2016-6-Ein-kuenstliches-neuronales-Netz-selbst-gebaut-3118857.html.
  7. See Ramon Wartala: "Tiefensch rfe: Deep learning mit NVIDIAs Jetson-TX1-Board und dem Caffe-Framework". In: iX 06/2016, pp. 100-103
  8. https://lists.debian.org/debian-science/2016/03/msg00016.html

29 May 2016

Iustin Pop: Mind versus body: time perception

Mind versus body: time perception Since mid-April I'm playing a new game. It's really awesome, and I learned some surprising things. The game Zwift is quite different from the games I'm usually playing. While it does have all or most of the elements of a game, more precisely an MMO, the main point of the game if physical exercise (in the real world). The in-game performance if the result of the (again, real-world) power output. Playing the game is more or less like many other games: very nice graphics, varied terrain (or not), interaction, or better said competition, with other players, online leader boards, races, gear "upgrade" (only cosmetic AFAIK), etc. The game more or less progresses like usual, but the fact that the main driver is body changes, to my surprise, the time component of the game. For me, with a normal game let's say one of Bioware's Dragon Age games, or one of CD Red's Witcher games a short gaming session is 2-3 hours, a reasonable session 6-8 hours, and longer ones are for "marathon" gaming sessions. Playing a good game for one hour feels like you've been cheated one barely starts and has to stop. On Zwift, things are different. A short session is 20-30 minutes, but this already feels good. A good one is more than one hour, and for me, the longest rides I had were three hours. A three hour session, if done at or near Functional Threshold Power (see here for another article about it), leaves me spent. I just had today such a long ride (at around 85% FTP) and it took me an hour afterwards (and eating) to recover. The interesting part is that, body exertion aside, the brain sees a 3 hour Zwift equivalent to an 8-10 hour gaming session. Both are tiring, and the perception of passed time is the same (long). Same with shorter sessions: if I do a 40 minutes ride, it feels subjectively as rewarding as a 2-3 hour normal gaming session. I wonder what mechanism is that influences this perception. Is it just effort level? But there's no real effort (as in increased heart rate) for computer games. Is it the fact that so much blood is needed for the muscles when cycling that the brain gets comparatively little, so it enters slow-speed mode (hey, who pressed the Turbo button)? In any case, using Zwift results in a much more efficient use of my time when I'm playing just to decompress/relax. Another interesting difference is how much importance a good night sleep has on body performance. With computer games, it makes a difference, but not a huge one, and it usually goes away a couple of hours in the game, at least subjectively. With cycling, a bad night results in persistent lower performance all around (for me at least), and one that you easily feel (e.g. for max 5-second average power). And the last thing I learned, although this shouldn't be a surprise: my FTP is way lower than it's supposed to be (according to the internet). I guess the hundreds of hours I put into pure computer games didn't do anything to my fitness, to my "surprise". I'm curious to see, if I can keep this going on, how things will look like in ~6 months or so.

28 May 2016

Evgeni Golov: how to accidentally break DNS for 15 domains or why you maybe could not send mail to me

TL;DR: DNS for golov.de and other (14) domains hosted on my infra was flaky from 15th to 17th of May, which may have resulted in undelivered mail. Yeah, I know, I haven't blogged for quite some time. Even not after I switched the engine of my blog from WordPress to Nikola. Sorry! But this post is not about apologizing or at least not for not blogging. Last Tuesday, mika sent me a direct message on Twitter (around 13:00) that read problem auf deiner Seite? or problem on your side/page? . Given side and page are the same word in German, I thought he meant my (this) website, so I quickly fired up a browser, checked that the site loads (I even checked both, HTTP and HTTPS! :-)) and as everything seemed to be fine and I was at a customer I only briefly replied ? . A couple messages later we found out that mika tried to send a screenshot (from his phone) but that got lost somewhere. A quick protocol change later (yay, Signal!) and I got the screenshot. It said "<evgeni+grml@golov.de>: Host or domain name not found. Name service error for name=golov.de type=AAAA: Host found, but no data record of requested type". Well, yeah, that looks like an useful error message. And here the journey begins. For historical nonsense golov.de currently does not have any AAAA records, so it looked odd that Postfix tried that. Even odder was that dig MX golov.de and dig mail.golov.de worked just fine from my laptop. Still, the message looked worrying and I decided to dig deeper. golov.de is served by three nameservers: ns.die-welt.net, ns2.die-welt and ns.inwx.de and dig was showing proper replies from ns2.die-welt.net and ns.inwx.de but not from ns.die-welt.net, which is the master. That was weird, but gave a direction to look at, and explained why my initial tests were OK. Another interesting data-point was that die-welt.net was served just fine from all three nameservers. Let's quickly SSH into that machine and look what's happening Yeah, but I only have my work laptop with me, which does not have my root key (and I still did not manage to setup a Yubikey/Nitrokey/whatver). Thankfully my key was allowed to access the hypervisor, yay console! Now let's really look. golov.de is served from from the bind backend of my PowerDNS, while die-welt.net is served from the MySQL backend. That explains why one domain didn't work while the other did. The relevant zone file looked fine, but the zones.conf was empty. WTF?! That zones.conf is autogenerated by Froxlor and I had upgraded it during the weekend to get Let's Encrypt support. Oh well, seems I hit a bug, damn. A few PHP hacks later and I got my zones.conf generated properly again and all was good. But what had really happened?
  • On Saturday (around 17:00) I upgraded to Froxlor 0.9.35.1 to get Let's Encrypt support and hit Froxlor bug 1615 without noticing as PowerDNS re-reads zones.conf only when told.

  • On Sunday PowerDNS was restarted because of upgraded packages, thus re-reading zones.conf and properly logging:

    May 15 08:10:59 shokki pdns[2210]: [bindbackend] Parsing 0 domain(s), will report when done
    
  • On Tuesday the issue hit a friend who cared and notified me

  • On Tuesday the issue was fixed (first by a quick restore from etckeeper, later by fixing the generating code):

    May 17 14:56:08 shokki pdns[24422]: [bindbackend] Parsing 15 domain(s), will report when done
    
And the lessons learned?
  • Monitor all your domains, on all your nameservers. (I didn't)
  • Have emergency access to all you servers. (I did, but it was complicated)
  • Use etckeeper, it's easier to use than backups in such cases.
  • When hitting bugs, look in the bugtracker before solving the issue yourself. (I didn't)
  • Have friends who care :-)

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