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20 December 2023

Melissa Wen: The Rainbow Treasure Map Talk: Advanced color management on Linux with AMD/Steam Deck.

Last week marked a major milestone for me: the AMD driver-specific color management properties reached the upstream linux-next! And to celebrate, I m happy to share the slides notes from my 2023 XDC talk, The Rainbow Treasure Map along with the individual recording that just dropped last week on youtube talk about happy coincidences!

Steam Deck Rainbow: Treasure Map & Magic Frogs While I may be bubbly and chatty in everyday life, the stage isn t exactly my comfort zone (hallway talks are more my speed). But the journey of developing the AMD color management properties was so full of discoveries that I simply had to share the experience. Witnessing the fantastic work of Jeremy and Joshua bring it all to life on the Steam Deck OLED was like uncovering magical ingredients and whipping up something truly enchanting. For XDC 2023, we split our Rainbow journey into two talks. My focus, The Rainbow Treasure Map, explored the new color features we added to the Linux kernel driver, diving deep into the hardware capabilities of AMD/Steam Deck. Joshua then followed with The Rainbow Frogs and showed the breathtaking color magic released on Gamescope thanks to the power unlocked by the kernel driver s Steam Deck color properties.

Packing a Rainbow into 15 Minutes I had so much to tell, but a half-slot talk meant crafting a concise presentation. To squeeze everything into 15 minutes (and calm my pre-talk jitters a bit!), I drafted and practiced those slides and notes countless times. So grab your map, and let s embark on the Rainbow journey together! Slide 1: The Rainbow Treasure Map - Advanced Color Management on Linux with AMD/SteamDeck Intro: Hi, I m Melissa from Igalia and welcome to the Rainbow Treasure Map, a talk about advanced color management on Linux with AMD/SteamDeck. Slide 2: List useful links for this technical talk Useful links: First of all, if you are not used to the topic, you may find these links useful.
  1. XDC 2022 - I m not an AMD expert, but - Melissa Wen
  2. XDC 2022 - Is HDR Harder? - Harry Wentland
  3. XDC 2022 Lightning - HDR Workshop Summary - Harry Wentland
  4. Color management and HDR documentation for FOSS graphics - Pekka Paalanen et al.
  5. Cinematic Color - 2012 SIGGRAPH course notes - Jeremy Selan
  6. AMD Driver-specific Properties for Color Management on Linux (Part 1) - Melissa Wen
Slide 3: Why do we need advanced color management on Linux? Context: When we talk about colors in the graphics chain, we should keep in mind that we have a wide variety of source content colorimetry, a variety of output display devices and also the internal processing. Users expect consistent color reproduction across all these devices. The userspace can use GPU-accelerated color management to get it. But this also requires an interface with display kernel drivers that is currently missing from the DRM/KMS framework. Slide 4: Describe our work on AMD driver-specific color properties Since April, I ve been bothering the DRM community by sending patchsets from the work of me and Joshua to add driver-specific color properties to the AMD display driver. In parallel, discussions on defining a generic color management interface are still ongoing in the community. Moreover, we are still not clear about the diversity of color capabilities among hardware vendors. To bridge this gap, we defined a color pipeline for Gamescope that fits the latest versions of AMD hardware. It delivers advanced color management features for gamut mapping, HDR rendering, SDR on HDR, and HDR on SDR. Slide 5: Describe the AMD/SteamDeck - our hardware AMD/Steam Deck hardware: AMD frequently releases new GPU and APU generations. Each generation comes with a DCN version with display hardware improvements. Therefore, keep in mind that this work uses the AMD Steam Deck hardware and its kernel driver. The Steam Deck is an APU with a DCN3.01 display driver, a DCN3 family. It s important to have this information since newer AMD DCN drivers inherit implementations from previous families but aldo each generation of AMD hardware may introduce new color capabilities. Therefore I recommend you to familiarize yourself with the hardware you are working on. Slide 6: Diagram with the three layers of the AMD display driver on Linux The AMD display driver in the kernel space: It consists of three layers, (1) the DRM/KMS framework, (2) the AMD Display Manager, and (3) the AMD Display Core. We extended the color interface exposed to userspace by leveraging existing DRM resources and connecting them using driver-specific functions for color property management. Slide 7: Three-layers diagram highlighting AMD Display Manager, DM - the layer that connects DC and DRM Bridging DC color capabilities and the DRM API required significant changes in the color management of AMD Display Manager - the Linux-dependent part that connects the AMD DC interface to the DRM/KMS framework. Slide 8: Three-layers diagram highlighting AMD Display Core, DC - the shared code The AMD DC is the OS-agnostic layer. Its code is shared between platforms and DCN versions. Examining this part helps us understand the AMD color pipeline and hardware capabilities, since the machinery for hardware settings and resource management are already there. Slide 9: Diagram of the AMD Display Core Next architecture with main elements and data flow The newest architecture for AMD display hardware is the AMD Display Core Next. Slide 10: Diagram of the AMD Display Core Next where only DPP and MPC blocks are highlighted In this architecture, two blocks have the capability to manage colors:
  • Display Pipe and Plane (DPP) - for pre-blending adjustments;
  • Multiple Pipe/Plane Combined (MPC) - for post-blending color transformations.
Let s see what we have in the DRM API for pre-blending color management. Slide 11: Blank slide with no content only a title 'Pre-blending: DRM plane' DRM plane color properties: This is the DRM color management API before blending. Nothing! Except two basic DRM plane properties: color_encoding and color_range for the input colorspace conversion, that is not covered by this work. Slide 12: Diagram with color capabilities and structures in AMD DC layer without any DRM plane color interface (before blending), only the DRM CRTC color interface for post blending In case you re not familiar with AMD shared code, what we need to do is basically draw a map and navigate there! We have some DRM color properties after blending, but nothing before blending yet. But much of the hardware programming was already implemented in the AMD DC layer, thanks to the shared code. Slide 13: Previous Diagram with a rectangle to highlight the empty space in the DRM plane interface that will be filled by AMD plane properties Still both the DRM interface and its connection to the shared code were missing. That s when the search begins! Slide 14: Color Pipeline Diagram with the plane color interface filled by AMD plane properties but without connections to AMD DC resources AMD driver-specific color pipeline: Looking at the color capabilities of the hardware, we arrive at this initial set of properties. The path wasn t exactly like that. We had many iterations and discoveries until reached to this pipeline. Slide 15: Color Pipeline Diagram connecting AMD plane degamma properties, LUT and TF, to AMD DC resources The Plane Degamma is our first driver-specific property before blending. It s used to linearize the color space from encoded values to light linear values. Slide 16: Describe plane degamma properties and hardware capabilities We can use a pre-defined transfer function or a user lookup table (in short, LUT) to linearize the color space. Pre-defined transfer functions for plane degamma are hardcoded curves that go to a specific hardware block called DPP Degamma ROM. It supports the following transfer functions: sRGB EOTF, BT.709 inverse OETF, PQ EOTF, and pure power curves Gamma 2.2, Gamma 2.4 and Gamma 2.6. We also have a one-dimensional LUT. This 1D LUT has four thousand ninety six (4096) entries, the usual 1D LUT size in the DRM/KMS. It s an array of drm_color_lut that goes to the DPP Gamma Correction block. Slide 17: Color Pipeline Diagram connecting AMD plane CTM property to AMD DC resources We also have now a color transformation matrix (CTM) for color space conversion. Slide 18: Describe plane CTM property and hardware capabilities It s a 3x4 matrix of fixed points that goes to the DPP Gamut Remap Block. Both pre- and post-blending matrices were previously gone to the same color block. We worked on detaching them to clear both paths. Now each CTM goes on its own way. Slide 19: Color Pipeline Diagram connecting AMD plane HDR multiplier property to AMD DC resources Next, the HDR Multiplier. HDR Multiplier is a factor applied to the color values of an image to increase their overall brightness. Slide 20: Describe plane HDR mult property and hardware capabilities This is useful for converting images from a standard dynamic range (SDR) to a high dynamic range (HDR). As it can range beyond [0.0, 1.0] subsequent transforms need to use the PQ(HDR) transfer functions. Slide 21: Color Pipeline Diagram connecting AMD plane shaper properties, LUT and TF, to AMD DC resources And we need a 3D LUT. But 3D LUT has a limited number of entries in each dimension, so we want to use it in a colorspace that is optimized for human vision. It means in a non-linear space. To deliver it, userspace may need one 1D LUT before 3D LUT to delinearize content and another one after to linearize content again for blending. Slide 22: Describe plane shaper properties and hardware capabilities The pre-3D-LUT curve is called Shaper curve. Unlike Degamma TF, there are no hardcoded curves for shaper TF, but we can use the AMD color module in the driver to build the following shaper curves from pre-defined coefficients. The color module combines the TF and the user LUT values into the LUT that goes to the DPP Shaper RAM block. Slide 23: Color Pipeline Diagram connecting AMD plane 3D LUT property to AMD DC resources Finally, our rockstar, the 3D LUT. 3D LUT is perfect for complex color transformations and adjustments between color channels. Slide 24: Describe plane 3D LUT property and hardware capabilities 3D LUT is also more complex to manage and requires more computational resources, as a consequence, its number of entries is usually limited. To overcome this restriction, the array contains samples from the approximated function and values between samples are estimated by tetrahedral interpolation. AMD supports 17 and 9 as the size of a single-dimension. Blue is the outermost dimension, red the innermost. Slide 25: Color Pipeline Diagram connecting AMD plane blend properties, LUT and TF, to AMD DC resources As mentioned, we need a post-3D-LUT curve to linearize the color space before blending. This is done by Blend TF and LUT. Slide 26: Describe plane blend properties and hardware capabilities Similar to shaper TF, there are no hardcoded curves for Blend TF. The pre-defined curves are the same as the Degamma block, but calculated by the color module. The resulting LUT goes to the DPP Blend RAM block. Slide 27: Color Pipeline Diagram  with all AMD plane color properties connect to AMD DC resources and links showing the conflict between plane and CRTC degamma Now we have everything connected before blending. As a conflict between plane and CRTC Degamma was inevitable, our approach doesn t accept that both are set at the same time. Slide 28: Color Pipeline Diagram connecting AMD CRTC gamma TF property to AMD DC resources We also optimized the conversion of the framebuffer to wire encoding by adding support to pre-defined CRTC Gamma TF. Slide 29: Describe CRTC gamma TF property and hardware capabilities Again, there are no hardcoded curves and TF and LUT are combined by the AMD color module. The same types of shaper curves are supported. The resulting LUT goes to the MPC Gamma RAM block. Slide 30: Color Pipeline Diagram with all AMD driver-specific color properties connect to AMD DC resources Finally, we arrived in the final version of DRM/AMD driver-specific color management pipeline. With this knowledge, you re ready to better enjoy the rainbow treasure of AMD display hardware and the world of graphics computing. Slide 31: SteamDeck/Gamescope Color Pipeline Diagram with rectangles labeling each block of the pipeline with the related AMD color property With this work, Gamescope/Steam Deck embraces the color capabilities of the AMD GPU. We highlight here how we map the Gamescope color pipeline to each AMD color block. Slide 32: Final slide. Thank you! Future works: The search for the rainbow treasure is not over! The Linux DRM subsystem contains many hidden treasures from different vendors. We want more complex color transformations and adjustments available on Linux. We also want to expose all GPU color capabilities from all hardware vendors to the Linux userspace. Thanks Joshua and Harry for this joint work and the Linux DRI community for all feedback and reviews. The amazing part of this work comes in the next talk with Joshua and The Rainbow Frogs! Any questions?
References:
  1. Slides of the talk The Rainbow Treasure Map.
  2. Youtube video of the talk The Rainbow Treasure Map.
  3. Patch series for AMD driver-specific color management properties (upstream Linux 6.8v).
  4. SteamDeck/Gamescope color management pipeline
  5. XDC 2023 website.
  6. Igalia website.

19 December 2023

Antoine Beaupr : (Re)introducing screentest

I have accidentally rewritten screentest, an old X11/GTK2 program that I was previously using to, well, test screens.

Screentest is dead It was removed from Debian in May 2023 but had already missed two releases (Debian 11 "bullseye" and 12 "bookworm") due to release critical bugs. The stated reason for removal was:
The package is orphaned and its upstream is no longer developed. It depends on gtk2, has a low popcon and no reverse dependencies.
So I had little hope to see this program back in Debian. The git repository shows little activity, the last being two years ago. Interestingly, I do not quite remember what it was testing, but I do remember it to find dead pixels, confirm native resolution, and various pixel-peeping. Here's a screenshot of one of the screentest screens: screentest screenshot showing a white-on-black checkered background, with some circles in the corners, shades of gray and colors in the middle Now, I think it's safe to assume this program is dead and buried, and anyways I'm running wayland now, surely there's something better? Well, no. Of course not. Someone would know about it and tell me before I go on a random coding spree in a fit of procrastination... riiight? At least, the Debconf video team didn't seem to know of any replacement. They actually suggested I just "invoke gstreamer directly" and "embrace the joy of shell scripting".

Screentest reborn So, I naively did exactly that and wrote a horrible shell script. Then I realized the next step was to write an command line parser and monitor geometry guessing, and thought "NOPE, THIS IS WHERE THE SHELL STOPS", and rewrote the whole thing in Python. Now, screentest lives as a ~400-line Python script, half of which is unit test data and command-line parsing.

Why screentest Some smarty pants is going to complain and ask why the heck one would need something like that (and, well, someone already did), so maybe I can lay down a list of use case:
  • testing color output, in broad terms (answering the question of "is it just me or this project really yellow?")
  • testing focus and keystone ("this looks blurry, can you find a nice sharp frame in that movie to adjust focus?")
  • test for native resolution and sharpness ("does this projector really support 4k for 30$? that sounds like bullcrap")
  • looking for dead pixels ("i have a new monitor, i hope it's intact")

What does screentest do? Screentest displays a series of "patterns" on screen. The list of patterns is actually hardcoded in the script, copy-pasted from this list from the videotestsrc gstreamer plugin, but you can pass any pattern supported by your gstreamer installation with --patterns. A list of patterns relevant to your installation is available with the gst-inspect-1.0 videotestsrc command. By default, screentest goes through all patterns. Each pattern runs indefinitely until the you close the window, then the next pattern starts. You can restrict to a subset of patterns, for example this would be a good test for dead pixels:
screentest --patterns black,white,red,green,blue
This would be a good sharpness test:
screentest --patterns pinwheel,spokes,checkers-1,checkers-2,checkers-4,checkers-8
A good generic test is the classic SMPTE color bars and is the first in the list, but you can run only that test with:
screentest --patterns smpte
(I will mention, by the way, that as a system administrator with decades of experience, it is nearly impossible to type SMPTE without first typing SMTP and re-typing it again a few times before I get it right. I fully expect this post to have numerous typos.)
Here's an example of the SMPTE pattern from Wikipedia: SMPTE color bars For multi-monitor setups, screentest also supports specifying which output to use as a native resolution, with --output. Failing that, it will try to look at the outputs and use the first it will find. If it fails to find anything, you can specify a resolution with --resolution WIDTHxHEIGHT. I have tried to make it go full screen by default, but stumbled a bug in Sway that crashes gst-launch. If your Wayland compositor supports it, you can possibly enable full screen with --sink waylandsink fullscreen=true. Otherwise it will create a new window that you will have to make fullscreen yourself. For completeness, there's also an --audio flag that will emit the classic "drone", a sine wave at 440Hz at 40% volume (the audiotestsrc gstreamer plugin. And there's a --overlay-name option to show the pattern name, in case you get lost and want to start with one of them again.

How this works Most of the work is done by gstreamer. The script merely generates a pipeline and calls gst-launch to show the output. That both limits what it can do but also makes it much easier to use than figuring out gst-launch. There might be some additional patterns that could be useful, but I think those are better left to gstreamer. I, for example, am somewhat nostalgic of the Philips circle pattern that used to play for TV stations that were off-air in my area. But that, in my opinion, would be better added to the gstreamer plugin than into a separate thing. The script shows which command is being ran, so it's a good introduction to gstreamer pipelines. Advanced users (and the video team) will possibly not need screentest and will design their own pipelines with their own tools. I've previously worked with ffmpeg pipelines (in another such procrastinated coding spree, video-proxy-magic), and I found gstreamer more intuitive, even though it might be slightly less powerful. In retrospect, I should probably have picked a new name, to avoid crashing the namespace already used by the project, which is now on GitHub. Who knows, it might come back to life after this blog post; it would not be the first time. For now, the project lives along side the rest of my scripts collection but if there's sufficient interest, I might move it to its own git repositories. Comments, feedback, contributions are as usual welcome. And naturally, if you know something better for this kind of stuff, I'm happy to learn more about your favorite tool! So now I have finally found something to test my projector, which will likely confirm what I've already known all along: that it's kind of a piece of crap and I need to get a proper one.

17 December 2023

Dirk Eddelbuettel: littler 0.3.19 on CRAN: Several Updates

max-heap image The twentieth release of littler as a CRAN package landed a few minutes ago, following in the now seventeen year history (!!) as a package started by Jeff in 2006, and joined by me a few weeks later. littler is the first command-line interface for R as it predates Rscript. It allows for piping as well for shebang scripting via #!, uses command-line arguments more consistently and still starts faster. It also always loaded the methods package which Rscript only began to do in recent years. littler lives on Linux and Unix, has its difficulties on macOS due to yet-another-braindeadedness there (who ever thought case-insensitive filesystems as a default were a good idea?) and simply does not exist on Windows (yet the build system could be extended see RInside for an existence proof, and volunteers are welcome!). See the FAQ vignette on how to add it to your PATH. A few examples are highlighted at the Github repo:, as well as in the examples vignette. This release contains a fair number of small changes and improvements to some of the example scripts is run daily. The full change description follows.

Changes in littler version 0.3.19 (2023-12-17)
  • Changes in examples scripts
    • The help or usage text display for r2u.r, ttt.r, check.r has been improved, expanded or corrected, respectively
    • installDeps.r has a new argument for dependency selection
    • An initial 'single test file' runner tttf.r has been added
    • r2u.r has two new options for setting / varying the Debian build version of package that is built, and one for BioConductor builds, one for a 'dry run' build, and a new --compile option
    • installRSPM.r, installPPM.r, installP3M.r have been updates to reflect the name changes
    • installRub.r now understands 'package@universe' too
    • tt.r flips the default of the --effects switch

My CRANberries service provides a comparison to the previous release. Full details for the littler release are provided as usual at the ChangeLog page, and also on the package docs website. The code is available via the GitHub repo, from tarballs and now of course also from its CRAN page and via install.packages("littler"). Binary packages are available directly in Debian as well as (in a day or two) Ubuntu binaries at CRAN thanks to the tireless Michael Rutter. Comments and suggestions are welcome at the GitHub repo. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

15 December 2023

Scarlett Gately Moore: KDE: Snaps, KDEneon, Debian and my future.

First I want to thank KDE for this wonderful write up on LinkedIn. https://www.linkedin.com/posts/kde_akademy-2023-over-a-million-reasons-why-activity-7139965489153208320-PNem?utm_source=share&utm_medium=member_desktop It made my heart explode with happiness as I prepped for my interview on Monday. I didn t get the job ( Just the usual we were very impressed with your experience, but we went with another candidate ). I think the cosmos is determined for me to hold out for the project even though it is only part time work, it is work and if I have learned nothing else this year, I have learned how to live on a very tight budget! It turns out many of the things we think we need, we don t. So with hard work of Kevin Ottens ( Thank you!!!! ), this should be finalized after the first of the year. This plan also allows me time for KDEneon and Debian work. I am happy with it and look forward to the coming year and the exciting things to come. My holiday plans are to help the Debian KDE team with the KF6 packaging, On-going KDEneon efforts, and continue to make sure the snaps Qt6 transition is a painless as possible. I will also be working on the qt6 kde-neon extension. In closing, despite my terrible luck with job-hunting, I am in an amazing community and I am truly grateful to each and every one of you. It has been a great year and I have added many new things to my skillset and I look forward to many more next year. As usual, it is that time of month where I have not raised enough to pay my internet bill ( phone company taking an extra 200.00 didn t help ) If you can spare any change ( any amount helps! ) please consider a donation https://gofund.me/b74e4c6f Thank you! I hope everyone has a wonderful <insert your holiday here> !!!!! ~ Scarlett

14 December 2023

Arturo Borrero Gonz lez: OpenTofu: handcrafted include-file mechanism with YAML

Post logo I recently started playing with Terraform/OpenTofu almost on a daily basis. The other day I was working with Amazon Managed Prometheus (or AMP), and wanted to define prometheus alert rules on YAML files. I decided that I needed a way to put the alerts on a bunch of files, and then load them by the declarative code, on the correct AMP workspace. I came up with this code pattern that I m sharing here, for my future reference, and in case it is interesting to someone else. The YAML file where I specify the AMP workspace, and where the alert rule files live:
---
alert_files:
  my_alerts_production:
    amp:
      workspace: "production"
    files: "alert_rules/production/*.yaml"
  my_alerts_staging:
    amp:
      workspace: "staging"
    files: "alert_rules/staging/*.yaml"
Note the files entry contains a file pattern. I will later expand the pattern using the fileset() function. Each rule file would be something like this:
---
name: "my_rule_namespace"
rule_data:  
  # this is prometheus-specific config
  groups:
    - name: "example_alert_group"
      rules:
      - alert: Example_Alert_Cpu
        # just arbitrary values, to produce an example alert
        expr: avg(rate(ecs_cpu_seconds_total container=~"something" [2m])) > 1
        for: 10s
        annotations:
          summary: "CPU usage is too high"
          description: "The container average CPU usage is too high."
I m interested in the data structure mutating into something similar to this:
---
alert_files:
  my_alerts_production:
    amp:
      workspace: "production"
    alerts_data:
      - name: rule_namespace_1
        rule_data:  
          # actual alert definition here
          [..]
      - name: rule_namespace_2
        rule_data:  
          # actual alert definition here
          [..]
  my_alerts_staging:
    amp:
      workspace: "staging"
    alerts_data:
      - name: rule_namespace_1
        rule_data:  
          # actual alert definition here
          [..]
      - name: rule_namespace_2
        rule_data:  
          # actual alert definition here
          [..]
This is the algorithm that does the trick:
locals  
  alerts_config =  
    for x, y in  
      for k, v in local.config.alert_files :
      k =>  
        amp : (v.amp),
        files : fileset("", v.files)
       
        : x =>  
      amp : (y.amp),
      alertmanager_data : [
        for z in(y.files) :
        yamldecode(file(z))
      ]
     
   
 
Because the declarative nature of the Terraform/OpenTofu language, I needed to implement 3 different for loops. Each loop reads the map and transforms it in some way, passing the result into the next loop. A bit convoluted if you ask me. To explain the logic, I think it makes more sense to read it from inside out. First loop:
    for k, v in local.config.alert_files :
    k =>  
        amp : (v.amp),
        files : fileset("", v.files)
     
This loop iterates the input YAML map in key-value pairs, remapping each amp entry, and expanding the file globs using the fileset() into a temporal files entry. Second loop:
    for x, y in  
        # previous fileset() loop
        : x =>  
      amp : (y.amp),
      alertmanager_data : [
        # yamldecode() loop
      ]
     
This intermediate loop is responsible for building the final data structure. It iterates the previous fileset() loop to remap it calling the next loop, the yamldecode() one. Note how the amp entry is being rebuilt in each remap (first loop and this one), otherwise we would lose it! Third loop:
    alertmanager_data : [
        for z in(y.files) :
        yamldecode(file(z))
    ]
And finally, this is maybe the easiest loop of the 3, we iterate the temporal file entry that was created in the first loop, calling yamldecode() for each of the file names generated by fileset(). The resulting data structure should allow you to easily create resources later in a for_each loop.

13 December 2023

Melissa Wen: 15 Tips for Debugging Issues in the AMD Display Kernel Driver

A self-help guide for examining and debugging the AMD display driver within the Linux kernel/DRM subsystem. It s based on my experience as an external developer working on the driver, and are shared with the goal of helping others navigate the driver code. Acknowledgments: These tips were gathered thanks to the countless help received from AMD developers during the driver development process. The list below was obtained by examining open source code, reviewing public documentation, playing with tools, asking in public forums and also with the help of my former GSoC mentor, Rodrigo Siqueira.

Pre-Debugging Steps: Before diving into an issue, it s crucial to perform two essential steps: 1) Check the latest changes: Ensure you re working with the latest AMD driver modifications located in the amd-staging-drm-next branch maintained by Alex Deucher. You may also find bug fixes for newer kernel versions on branches that have the name pattern drm-fixes-<date>. 2) Examine the issue tracker: Confirm that your issue isn t already documented and addressed in the AMD display driver issue tracker. If you find a similar issue, you can team up with others and speed up the debugging process.

Understanding the issue: Do you really need to change this? Where should you start looking for changes? 3) Is the issue in the AMD kernel driver or in the userspace?: Identifying the source of the issue is essential regardless of the GPU vendor. Sometimes this can be challenging so here are some helpful tips:
  • Record the screen: Capture the screen using a recording app while experiencing the issue. If the bug appears in the capture, it s likely a userspace issue, not the kernel display driver.
  • Analyze the dmesg log: Look for error messages related to the display driver in the dmesg log. If the error message appears before the message [drm] Display Core v... , it s not likely a display driver issue. If this message doesn t appear in your log, the display driver wasn t fully loaded and you will see a notification that something went wrong here.
4) AMD Display Manager vs. AMD Display Core: The AMD display driver consists of two components:
  • Display Manager (DM): This component interacts directly with the Linux DRM infrastructure. Occasionally, issues can arise from misinterpretations of DRM properties or features. If the issue doesn t occur on other platforms with the same AMD hardware - for example, only happens on Linux but not on Windows - it s more likely related to the AMD DM code.
  • Display Core (DC): This is the platform-agnostic part responsible for setting and programming hardware features. Modifications to the DC usually require validation on other platforms, like Windows, to avoid regressions.
5) Identify the DC HW family: Each AMD GPU has variations in its hardware architecture. Features and helpers differ between families, so determining the relevant code for your specific hardware is crucial.
  • Find GPU product information in Linux/AMD GPU documentation
  • Check the dmesg log for the Display Core version (since this commit in Linux kernel 6.3v). For example:
    • [drm] Display Core v3.2.241 initialized on DCN 2.1
    • [drm] Display Core v3.2.237 initialized on DCN 3.0.1

Investigating the relevant driver code: Keep from letting unrelated driver code to affect your investigation. 6) Narrow the code inspection down to one DC HW family: the relevant code resides in a directory named after the DC number. For example, the DCN 3.0.1 driver code is located at drivers/gpu/drm/amd/display/dc/dcn301. We all know that the AMD s shared code is huge and you can use these boundaries to rule out codes unrelated to your issue. 7) Newer families may inherit code from older ones: you can find dcn301 using code from dcn30, dcn20, dcn10 files. It s crucial to verify which hooks and helpers your driver utilizes to investigate the right portion. You can leverage ftrace for supplemental validation. To give an example, it was useful when I was updating DCN3 color mapping to correctly use their new post-blending color capabilities, such as: Additionally, you can use two different HW families to compare behaviours. If you see the issue in one but not in the other, you can compare the code and understand what has changed and if the implementation from a previous family doesn t fit well the new HW resources or design. You can also count on the help of the community on the Linux AMD issue tracker to validate your code on other hardware and/or systems. This approach helped me debug a 2-year-old issue where the cursor gamma adjustment was incorrect in DCN3 hardware, but working correctly for DCN2 family. I solved the issue in two steps, thanks for community feedback and validation: 8) Check the hardware capability screening in the driver: You can currently find a list of display hardware capabilities in the drivers/gpu/drm/amd/display/dc/dcn*/dcn*_resource.c file. More precisely in the dcn*_resource_construct() function. Using DCN301 for illustration, here is the list of its hardware caps:
	/*************************************************
	 *  Resource + asic cap harcoding                *
	 *************************************************/
	pool->base.underlay_pipe_index = NO_UNDERLAY_PIPE;
	pool->base.pipe_count = pool->base.res_cap->num_timing_generator;
	pool->base.mpcc_count = pool->base.res_cap->num_timing_generator;
	dc->caps.max_downscale_ratio = 600;
	dc->caps.i2c_speed_in_khz = 100;
	dc->caps.i2c_speed_in_khz_hdcp = 5; /*1.4 w/a enabled by default*/
	dc->caps.max_cursor_size = 256;
	dc->caps.min_horizontal_blanking_period = 80;
	dc->caps.dmdata_alloc_size = 2048;
	dc->caps.max_slave_planes = 2;
	dc->caps.max_slave_yuv_planes = 2;
	dc->caps.max_slave_rgb_planes = 2;
	dc->caps.is_apu = true;
	dc->caps.post_blend_color_processing = true;
	dc->caps.force_dp_tps4_for_cp2520 = true;
	dc->caps.extended_aux_timeout_support = true;
	dc->caps.dmcub_support = true;
	/* Color pipeline capabilities */
	dc->caps.color.dpp.dcn_arch = 1;
	dc->caps.color.dpp.input_lut_shared = 0;
	dc->caps.color.dpp.icsc = 1;
	dc->caps.color.dpp.dgam_ram = 0; // must use gamma_corr
	dc->caps.color.dpp.dgam_rom_caps.srgb = 1;
	dc->caps.color.dpp.dgam_rom_caps.bt2020 = 1;
	dc->caps.color.dpp.dgam_rom_caps.gamma2_2 = 1;
	dc->caps.color.dpp.dgam_rom_caps.pq = 1;
	dc->caps.color.dpp.dgam_rom_caps.hlg = 1;
	dc->caps.color.dpp.post_csc = 1;
	dc->caps.color.dpp.gamma_corr = 1;
	dc->caps.color.dpp.dgam_rom_for_yuv = 0;
	dc->caps.color.dpp.hw_3d_lut = 1;
	dc->caps.color.dpp.ogam_ram = 1;
	// no OGAM ROM on DCN301
	dc->caps.color.dpp.ogam_rom_caps.srgb = 0;
	dc->caps.color.dpp.ogam_rom_caps.bt2020 = 0;
	dc->caps.color.dpp.ogam_rom_caps.gamma2_2 = 0;
	dc->caps.color.dpp.ogam_rom_caps.pq = 0;
	dc->caps.color.dpp.ogam_rom_caps.hlg = 0;
	dc->caps.color.dpp.ocsc = 0;
	dc->caps.color.mpc.gamut_remap = 1;
	dc->caps.color.mpc.num_3dluts = pool->base.res_cap->num_mpc_3dlut; //2
	dc->caps.color.mpc.ogam_ram = 1;
	dc->caps.color.mpc.ogam_rom_caps.srgb = 0;
	dc->caps.color.mpc.ogam_rom_caps.bt2020 = 0;
	dc->caps.color.mpc.ogam_rom_caps.gamma2_2 = 0;
	dc->caps.color.mpc.ogam_rom_caps.pq = 0;
	dc->caps.color.mpc.ogam_rom_caps.hlg = 0;
	dc->caps.color.mpc.ocsc = 1;
	dc->caps.dp_hdmi21_pcon_support = true;
	/* read VBIOS LTTPR caps */
	if (ctx->dc_bios->funcs->get_lttpr_caps)  
		enum bp_result bp_query_result;
		uint8_t is_vbios_lttpr_enable = 0;
		bp_query_result = ctx->dc_bios->funcs->get_lttpr_caps(ctx->dc_bios, &is_vbios_lttpr_enable);
		dc->caps.vbios_lttpr_enable = (bp_query_result == BP_RESULT_OK) && !!is_vbios_lttpr_enable;
	 
	if (ctx->dc_bios->funcs->get_lttpr_interop)  
		enum bp_result bp_query_result;
		uint8_t is_vbios_interop_enabled = 0;
		bp_query_result = ctx->dc_bios->funcs->get_lttpr_interop(ctx->dc_bios, &is_vbios_interop_enabled);
		dc->caps.vbios_lttpr_aware = (bp_query_result == BP_RESULT_OK) && !!is_vbios_interop_enabled;
	 
Keep in mind that the documentation of color capabilities are available at the Linux kernel Documentation.

Understanding the development history: What has brought us to the current state? 9) Pinpoint relevant commits: Use git log and git blame to identify commits targeting the code section you re interested in. 10) Track regressions: If you re examining the amd-staging-drm-next branch, check for regressions between DC release versions. These are defined by DC_VER in the drivers/gpu/drm/amd/display/dc/dc.h file. Alternatively, find a commit with this format drm/amd/display: 3.2.221 that determines a display release. It s useful for bisecting. This information helps you understand how outdated your branch is and identify potential regressions. You can consider each DC_VER takes around one week to be bumped. Finally, check testing log of each release in the report provided on the amd-gfx mailing list, such as this one Tested-by: Daniel Wheeler:

Reducing the inspection area: Focus on what really matters. 11) Identify involved HW blocks: This helps isolate the issue. You can find more information about DCN HW blocks in the DCN Overview documentation. In summary:
  • Plane issues are closer to HUBP and DPP.
  • Blending/Stream issues are closer to MPC, OPP and OPTC. They are related to DRM CRTC subjects.
This information was useful when debugging a hardware rotation issue where the cursor plane got clipped off in the middle of the screen. Finally, the issue was addressed by two patches: 12) Issues around bandwidth (glitches) and clocks: May be affected by calculations done in these HW blocks and HW specific values. The recalculation equations are found in the DML folder. DML stands for Display Mode Library. It s in charge of all required configuration parameters supported by the hardware for multiple scenarios. See more in the AMD DC Overview kernel docs. It s a math library that optimally configures hardware to find the best balance between power efficiency and performance in a given scenario. Finding some clk variables that affect device behavior may be a sign of it. It s hard for a external developer to debug this part, since it involves information from HW specs and firmware programming that we don t have access. The best option is to provide all relevant debugging information you have and ask AMD developers to check the values from your suspicions.
  • Do a trick: If you suspect the power setup is degrading performance, try setting the amount of power supplied to the GPU to the maximum and see if it affects the system behavior with this command: sudo bash -c "echo high > /sys/class/drm/card0/device/power_dpm_force_performance_level"
I learned it when debugging glitches with hardware cursor rotation on Steam Deck. My first attempt was changing the clock calculation. In the end, Rodrigo Siqueira proposed the right solution targeting bandwidth in two steps:

Checking implicit programming and hardware limitations: Bring implicit programming to the level of consciousness and recognize hardware limitations. 13) Implicit update types: Check if the selected type for atomic update may affect your issue. The update type depends on the mode settings, since programming some modes demands more time for hardware processing. More details in the source code:
/* Surface update type is used by dc_update_surfaces_and_stream
 * The update type is determined at the very beginning of the function based
 * on parameters passed in and decides how much programming (or updating) is
 * going to be done during the call.
 *
 * UPDATE_TYPE_FAST is used for really fast updates that do not require much
 * logical calculations or hardware register programming. This update MUST be
 * ISR safe on windows. Currently fast update will only be used to flip surface
 * address.
 *
 * UPDATE_TYPE_MED is used for slower updates which require significant hw
 * re-programming however do not affect bandwidth consumption or clock
 * requirements. At present, this is the level at which front end updates
 * that do not require us to run bw_calcs happen. These are in/out transfer func
 * updates, viewport offset changes, recout size changes and pixel
depth changes.
 * This update can be done at ISR, but we want to minimize how often
this happens.
 *
 * UPDATE_TYPE_FULL is slow. Really slow. This requires us to recalculate our
 * bandwidth and clocks, possibly rearrange some pipes and reprogram
anything front
 * end related. Any time viewport dimensions, recout dimensions,
scaling ratios or
 * gamma need to be adjusted or pipe needs to be turned on (or
disconnected) we do
 * a full update. This cannot be done at ISR level and should be a rare event.
 * Unless someone is stress testing mpo enter/exit, playing with
colour or adjusting
 * underscan we don't expect to see this call at all.
 */
enum surface_update_type  
UPDATE_TYPE_FAST, /* super fast, safe to execute in isr */
UPDATE_TYPE_MED,  /* ISR safe, most of programming needed, no bw/clk change*/
UPDATE_TYPE_FULL, /* may need to shuffle resources */
 ;

Using tools: Observe the current state, validate your findings, continue improvements. 14) Use AMD tools to check hardware state and driver programming: help on understanding your driver settings and checking the behavior when changing those settings.
  • DC Visual confirmation: Check multiple planes and pipe split policy.
  • DTN logs: Check display hardware state, including rotation, size, format, underflow, blocks in use, color block values, etc.
  • UMR: Check ASIC info, register values, KMS state - links and elements (framebuffers, planes, CRTCs, connectors). Source: UMR project documentation
15) Use generic DRM/KMS tools:
  • IGT test tools: Use generic KMS tests or develop your own to isolate the issue in the kernel space. Compare results across different GPU vendors to understand their implementations and find potential solutions. Here AMD also has specific IGT tests for its GPUs that is expect to work without failures on any AMD GPU. You can check results of HW-specific tests using different display hardware families or you can compare expected differences between the generic workflow and AMD workflow.
  • drm_info: This tool summarizes the current state of a display driver (capabilities, properties and formats) per element of the DRM/KMS workflow. Output can be helpful when reporting bugs.

Don t give up! Debugging issues in the AMD display driver can be challenging, but by following these tips and leveraging available resources, you can significantly improve your chances of success. Worth mentioning: This blog post builds upon my talk, I m not an AMD expert, but presented at the 2022 XDC. It shares guidelines that helped me debug AMD display issues as an external developer of the driver. Open Source Display Driver: The Linux kernel/AMD display driver is open source, allowing you to actively contribute by addressing issues listed in the official tracker. Tackling existing issues or resolving your own can be a rewarding learning experience and a valuable contribution to the community. Additionally, the tracker serves as a valuable resource for finding similar bugs, troubleshooting tips, and suggestions from AMD developers. Finally, it s a platform for seeking help when needed. Remember, contributing to the open source community through issue resolution and collaboration is mutually beneficial for everyone involved.

12 December 2023

Raju Devidas: Nextcloud AIO install with docker-compose and nginx reverse proxy

Nextcloud AIO install with docker-compose and nginx reverse proxyNextcloud is a popular self-hosted solution for file sync and share as well as cloud apps such as document editing, chat and talk, calendar, photo gallery etc. This guide will walk you through setting up Nextcloud AIO using Docker Compose. This blog post would not be possible without immense help from Sahil Dhiman a.k.a. sahilisterThere are various ways in which the installation could be done, in our setup here are the pre-requisites.

Step 1 : The docker-compose file for nextcloud AIOThe original compose.yml file is present in nextcloud AIO&aposs git repo here . By taking a reference of that file, we have own compose.yml here.
services:
  nextcloud-aio-mastercontainer:
    image: nextcloud/all-in-one:latest
    init: true
    restart: always
    container_name: nextcloud-aio-mastercontainer # This line is not allowed to be changed as otherwise AIO will not work correctly
    volumes:
      - nextcloud_aio_mastercontainer:/mnt/docker-aio-config # This line is not allowed to be changed as otherwise the built-in backup solution will not work
      - /var/run/docker.sock:/var/run/docker.sock:ro # May be changed on macOS, Windows or docker rootless. See the applicable documentation. If adjusting, don&apost forget to also set &aposWATCHTOWER_DOCKER_SOCKET_PATH&apos!
    ports:
      - 8080:8080
    environment: # Is needed when using any of the options below
      # - AIO_DISABLE_BACKUP_SECTION=false # Setting this to true allows to hide the backup section in the AIO interface. See https://github.com/nextcloud/all-in-one#how-to-disable-the-backup-section
      - APACHE_PORT=32323 # Is needed when running behind a web server or reverse proxy (like Apache, Nginx, Cloudflare Tunnel and else). See https://github.com/nextcloud/all-in-one/blob/main/reverse-proxy.md
      - APACHE_IP_BINDING=127.0.0.1 # Should be set when running behind a web server or reverse proxy (like Apache, Nginx, Cloudflare Tunnel and else) that is running on the same host. See https://github.com/nextcloud/all-in-one/blob/main/reverse-proxy.md
      # - BORG_RETENTION_POLICY=--keep-within=7d --keep-weekly=4 --keep-monthly=6 # Allows to adjust borgs retention policy. See https://github.com/nextcloud/all-in-one#how-to-adjust-borgs-retention-policy
      # - COLLABORA_SECCOMP_DISABLED=false # Setting this to true allows to disable Collabora&aposs Seccomp feature. See https://github.com/nextcloud/all-in-one#how-to-disable-collaboras-seccomp-feature
      - NEXTCLOUD_DATADIR=/opt/docker/cloud.raju.dev/nextcloud # Allows to set the host directory for Nextcloud&aposs datadir.   Warning: do not set or adjust this value after the initial Nextcloud installation is done! See https://github.com/nextcloud/all-in-one#how-to-change-the-default-location-of-nextclouds-datadir
      # - NEXTCLOUD_MOUNT=/mnt/ # Allows the Nextcloud container to access the chosen directory on the host. See https://github.com/nextcloud/all-in-one#how-to-allow-the-nextcloud-container-to-access-directories-on-the-host
      # - NEXTCLOUD_UPLOAD_LIMIT=10G # Can be adjusted if you need more. See https://github.com/nextcloud/all-in-one#how-to-adjust-the-upload-limit-for-nextcloud
      # - NEXTCLOUD_MAX_TIME=3600 # Can be adjusted if you need more. See https://github.com/nextcloud/all-in-one#how-to-adjust-the-max-execution-time-for-nextcloud
      # - NEXTCLOUD_MEMORY_LIMIT=512M # Can be adjusted if you need more. See https://github.com/nextcloud/all-in-one#how-to-adjust-the-php-memory-limit-for-nextcloud
      # - NEXTCLOUD_TRUSTED_CACERTS_DIR=/path/to/my/cacerts # CA certificates in this directory will be trusted by the OS of the nexcloud container (Useful e.g. for LDAPS) See See https://github.com/nextcloud/all-in-one#how-to-trust-user-defined-certification-authorities-ca
      # - NEXTCLOUD_STARTUP_APPS=deck twofactor_totp tasks calendar contacts notes # Allows to modify the Nextcloud apps that are installed on starting AIO the first time. See https://github.com/nextcloud/all-in-one#how-to-change-the-nextcloud-apps-that-are-installed-on-the-first-startup
      # - NEXTCLOUD_ADDITIONAL_APKS=imagemagick # This allows to add additional packages to the Nextcloud container permanently. Default is imagemagick but can be overwritten by modifying this value. See https://github.com/nextcloud/all-in-one#how-to-add-os-packages-permanently-to-the-nextcloud-container
      # - NEXTCLOUD_ADDITIONAL_PHP_EXTENSIONS=imagick # This allows to add additional php extensions to the Nextcloud container permanently. Default is imagick but can be overwritten by modifying this value. See https://github.com/nextcloud/all-in-one#how-to-add-php-extensions-permanently-to-the-nextcloud-container
      # - NEXTCLOUD_ENABLE_DRI_DEVICE=true # This allows to enable the /dev/dri device in the Nextcloud container.   Warning: this only works if the &apos/dev/dri&apos device is present on the host! If it should not exist on your host, don&apost set this to true as otherwise the Nextcloud container will fail to start! See https://github.com/nextcloud/all-in-one#how-to-enable-hardware-transcoding-for-nextcloud
      # - NEXTCLOUD_KEEP_DISABLED_APPS=false # Setting this to true will keep Nextcloud apps that are disabled in the AIO interface and not uninstall them if they should be installed. See https://github.com/nextcloud/all-in-one#how-to-keep-disabled-apps
      # - TALK_PORT=3478 # This allows to adjust the port that the talk container is using. See https://github.com/nextcloud/all-in-one#how-to-adjust-the-talk-port
      # - WATCHTOWER_DOCKER_SOCKET_PATH=/var/run/docker.sock # Needs to be specified if the docker socket on the host is not located in the default &apos/var/run/docker.sock&apos. Otherwise mastercontainer updates will fail. For macos it needs to be &apos/var/run/docker.sock&apos
    # networks: # Is needed when you want to create the nextcloud-aio network with ipv6-support using this file, see the network config at the bottom of the file
      # - nextcloud-aio # Is needed when you want to create the nextcloud-aio network with ipv6-support using this file, see the network config at the bottom of the file
      # - SKIP_DOMAIN_VALIDATION=true
    # # Uncomment the following line when using SELinux
    # security_opt: ["label:disable"]
volumes: # If you want to store the data on a different drive, see https://github.com/nextcloud/all-in-one#how-to-store-the-filesinstallation-on-a-separate-drive
  nextcloud_aio_mastercontainer:
    name: nextcloud_aio_mastercontainer # This line is not allowed to be changed as otherwise the built-in backup solution will not work
I have not removed many of the commented options in the compose file, for a possibility of me using them in the future.If you want a smaller cleaner compose with the extra options, you can refer to
services:
  nextcloud-aio-mastercontainer:
    image: nextcloud/all-in-one:latest
    init: true
    restart: always
    container_name: nextcloud-aio-mastercontainer
    volumes:
      - nextcloud_aio_mastercontainer:/mnt/docker-aio-config
      - /var/run/docker.sock:/var/run/docker.sock:ro
    ports:
      - 8080:8080
    environment:
      - APACHE_PORT=32323
      - APACHE_IP_BINDING=127.0.0.1
      - NEXTCLOUD_DATADIR=/opt/docker/nextcloud
volumes:
  nextcloud_aio_mastercontainer:
    name: nextcloud_aio_mastercontainer
I am using a separate directory to store nextcloud data. As per nextcloud documentation you should be using a separate partition if you want to use this feature, however I did not have that option on my server, so I used a separate directory instead. Also we use a custom port on which nextcloud listens for operations, we have set it up as 32323 above, but you can use any in the permissible port range. The 8080 port is used the setup the AIO management interface. Both 8080 and the APACHE_PORT do not need to be open on the host machine, as we will be using reverse proxy setup with nginx to direct requests. once you have your preferred compose.yml file, you can start the containers using
$ docker-compose -f compose.yml up -d 
Creating network "clouddev_default" with the default driver
Creating volume "nextcloud_aio_mastercontainer" with default driver
Creating nextcloud-aio-mastercontainer ... done
once your container&aposs are running, we can do the nginx setup.

Step 2: Configuring nginx reverse proxy for our domain on host. A reference nginx configuration for nextcloud AIO is given in the nextcloud git repository here . You can modify the configuration file according to your needs and setup. Here is configuration that we are using

map $http_upgrade $connection_upgrade  
    default upgrade;
    &apos&apos close;
 
server  
    listen 80;
    #listen [::]:80;            # comment to disable IPv6
    if ($scheme = "http")  
        return 301 https://$host$request_uri;
     
    listen 443 ssl http2;      # for nginx versions below v1.25.1
    #listen [::]:443 ssl http2; # for nginx versions below v1.25.1 - comment to disable IPv6
    # listen 443 ssl;      # for nginx v1.25.1+
    # listen [::]:443 ssl; # for nginx v1.25.1+ - keep comment to disable IPv6
    # http2 on;                                 # uncomment to enable HTTP/2        - supported on nginx v1.25.1+
    # http3 on;                                 # uncomment to enable HTTP/3 / QUIC - supported on nginx v1.25.0+
    # quic_retry on;                            # uncomment to enable HTTP/3 / QUIC - supported on nginx v1.25.0+
    # add_header Alt-Svc &aposh3=":443"; ma=86400&apos; # uncomment to enable HTTP/3 / QUIC - supported on nginx v1.25.0+
    # listen 443 quic reuseport;       # uncomment to enable HTTP/3 / QUIC - supported on nginx v1.25.0+ - please remove "reuseport" if there is already another quic listener on port 443 with enabled reuseport
    # listen [::]:443 quic reuseport;  # uncomment to enable HTTP/3 / QUIC - supported on nginx v1.25.0+ - please remove "reuseport" if there is already another quic listener on port 443 with enabled reuseport - keep comment to disable IPv6
    server_name cloud.example.com;
    location /  
        proxy_pass http://127.0.0.1:32323$request_uri;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Port $server_port;
        proxy_set_header X-Forwarded-Scheme $scheme;
        proxy_set_header X-Forwarded-Proto $scheme;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header Accept-Encoding "";
        proxy_set_header Host $host;
    
        client_body_buffer_size 512k;
        proxy_read_timeout 86400s;
        client_max_body_size 0;
        # Websocket
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection $connection_upgrade;
     
    ssl_certificate /etc/letsencrypt/live/cloud.example.com/fullchain.pem; # managed by Certbot
    ssl_certificate_key /etc/letsencrypt/live/cloud.example.com/privkey.pem; # managed by Certbot
    ssl_session_timeout 1d;
    ssl_session_cache shared:MozSSL:10m; # about 40000 sessions
    ssl_session_tickets off;
    ssl_protocols TLSv1.2 TLSv1.3;
    ssl_ciphers ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-CHACHA20-POLY1305:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES256-GCM-SHA384:DHE-RSA-CHACHA20-POLY1305;
    ssl_prefer_server_ciphers on;
    # Optional settings:
    # OCSP stapling
    # ssl_stapling on;
    # ssl_stapling_verify on;
    # ssl_trusted_certificate /etc/letsencrypt/live/<your-nc-domain>/chain.pem;
    # replace with the IP address of your resolver
    # resolver 127.0.0.1; # needed for oscp stapling: e.g. use 94.140.15.15 for adguard / 1.1.1.1 for cloudflared or 8.8.8.8 for google - you can use the same nameserver as listed in your /etc/resolv.conf file
 
Please note that you need to have valid SSL certificates for your domain for this configuration to work. Steps on getting valid SSL certificates for your domain are beyond the scope of this article. You can give a web search on getting SSL certificates with letsencrypt and you will get several resources on that, or may write a blog post on it separately in the future.once your configuration for nginx is done, you can test the nginx configuration using
$ sudo nginx -t 
nginx: the configuration file /etc/nginx/nginx.conf syntax is ok
nginx: configuration file /etc/nginx/nginx.conf test is successful
and then reload nginx with
$ sudo nginx -s reload

Step 3: Setup of Nextcloud AIO from the browser.To setup nextcloud AIO, we need to access it using the web browser on URL of our domain.tld:8080, however we do not want to open the 8080 port publicly to do this, so to complete the setup, here is a neat hack from sahilister
ssh -L 8080:127.0.0.1:8080 username:<server-ip>
you can bind the 8080 port of your server to the 8080 of your localhost using Unix socket forwarding over SSH.The port forwarding only last for the duration of your SSH session, if the SSH session breaks, your port forwarding will to. So, once you have the port forwarded, you can open the nextcloud AIO instance in your web browser at 127.0.0.1:8080
Nextcloud AIO install with docker-compose and nginx reverse proxy
you will get this error because you are trying to access a page on localhost over HTTPS. You can click on advanced and then continue to proceed to the next page. Your data is encrypted over SSH for this session as we are binding the port over SSH. Depending on your choice of browser, the above page might look different.once you have proceeded, the nextcloud AIO interface will open and will look something like this.
Nextcloud AIO install with docker-compose and nginx reverse proxynextcloud AIO initial screen with capsicums as password
It will show an auto generated passphrase, you need to save this passphrase and make sure to not loose it. For the purposes of security, I have masked the passwords with capsicums. once you have noted down your password, you can proceed to the Nextcloud AIO login, enter your password and then login. After login you will be greeted with a screen like this.
Nextcloud AIO install with docker-compose and nginx reverse proxy
now you can put the domain that you want to use in the Submit domain field. Once the domain check is done, you will proceed to the next step and see another screen like this
Nextcloud AIO install with docker-compose and nginx reverse proxy
here you can select any optional containers for the features that you might want. IMPORTANT: Please make sure to also change the time zone at the bottom of the page according to the time zone you wish to operate in.
Nextcloud AIO install with docker-compose and nginx reverse proxy
The timezone setup is also important because the data base will get initialized according to the set time zone. This could result in wrong initialization of database and you ending up in a startup loop for nextcloud. I faced this issue and could only resolve it after getting help from sahilister . Once you are done changing the timezone, and selecting any additional features you want, you can click on Download and start the containersIt will take some time for this process to finish, take a break and look at the farthest object in your room and take a sip of water. Once you are done, and the process has finished you will see a page similar to the following one.
Nextcloud AIO install with docker-compose and nginx reverse proxy
wait patiently for everything to turn green.
Nextcloud AIO install with docker-compose and nginx reverse proxy
once all the containers have started properly, you can open the nextcloud login interface on your configured domain, the initial login details are auto generated as you can see from the above screenshot. Again you will see a password that you need to note down or save to enter the nextcloud interface. Capsicums will not work as passwords. I have masked the auto generated passwords using capsicums.Now you can click on Open your Nextcloud button or go to your configured domain to access the login screen.
Nextcloud AIO install with docker-compose and nginx reverse proxy
You can use the login details from the previous step to login to the administrator account of your Nextcloud instance. There you have it, your very own cloud!

Additional Notes:

How to properly reset Nextcloud setup?While following the above steps, or while following steps from some other tutorial, you may have made a mistake, and want to start everything again from scratch. The instructions for it are present in the Nextcloud documentation here . Here is the TLDR for a docker-compose setup. These steps will delete all data, do not use these steps on an existing nextcloud setup unless you know what you are doing.
  • Stop your master container.
docker-compose -f compose.yml down -v
The above command will also remove the volume associated with the master container
  • Stop all the child containers that has been started by the master container.
docker stop nextcloud-aio-apache nextcloud-aio-notify-push nextcloud-aio-nextcloud nextcloud-aio-imaginary nextcloud-aio-fulltextsearch nextcloud-aio-redis nextcloud-aio-database nextcloud-aio-talk nextcloud-aio-collabora
  • Remove all the child containers that has been started by the master container
docker rm nextcloud-aio-apache nextcloud-aio-notify-push nextcloud-aio-nextcloud nextcloud-aio-imaginary nextcloud-aio-fulltextsearch nextcloud-aio-redis nextcloud-aio-database nextcloud-aio-talk nextcloud-aio-collabora
  • If you also wish to remove all images associated with nextcloud you can do it with
docker rmi $(docker images --filter "reference=nextcloud/*" -q)
  • remove all volumes associated with child containers
docker volume rm <volume-name>
  • remove the network associated with nextcloud
docker network rm nextcloud-aio

Additional references.
  1. Nextcloud Github
  2. Nextcloud reverse proxy documentation
  3. Nextcloud Administration Guide
  4. Nextcloud User Manual
  5. Nextcloud Developer&aposs manual

10 December 2023

Scarlett Gately Moore: KDE: KDE Snaps 23.08.4, PIM! KDE neon, Debian

KDE PIM Kaddressbook snapKDE PIM Kaddressbook snap
KDE Snaps: This weeks big accomplishment is KDE PIM snaps! I have successfully added akonadi as a service via an akonadi content snap and running it as a service. Kaddressbook is our first PIM snap with this setup and it works flawlessly! It is available in the snap store. I have a pile of MRs awaiting approvals, so keep your eye out for the rest of PIM in the next day. KDE Applications 23.08.4 has been released and available in the snap store. Krita 5.2.2 has been released. I have created a new kde-qt6 snap as the qt-framework snap has not been updated and the maintainer is unreachable. It is in edge and I will be rebuilding our kf6 snap with this one. I am debugging an issue with the latest Labplot release. KDE neon: This week I helped with frameworks release 5.113 and KDE applications 23.08.4. I also worked on the ongoing Unstable turning red into green builds as the porting to qt6 continues. Debian: With my on going learning packaging for all the programming languages, Rust packaging: I started on Rustic https://github.com/rustic-rs/rustic unfortunately, it was a bit of wasted time as it depends on a feature of tracing-subcriber that depends on matchers which has a grave bug, so it remains disabled. Personal: I do have an interview tomorrow! And it looks like the project may go through after the new year. So things are looking up, unfortunately I must still ask, if you have any spare change please consider a donation. The phone company decided to take an extra $200.00 I didn t have to spare and while I resolved it, they refused a refund, but gave me a credit to next months bill, which doesn t help me now. Thank you for your consideration. https://gofund.me/b74e4c6f

9 December 2023

Simon Josefsson: Classic McEliece goes to IETF and OpenSSH

My earlier work on Streamlined NTRU Prime has been progressing along. The IETF document on sntrup761 in SSH has passed several process points. GnuPG s libgcrypt has added support for sntrup761. The libssh support for sntrup761 is working, but the merge request is stuck mostly due to lack of time to debug why the regression test suite sporadically errors out in non-sntrup761 related parts with the patch. The foundation for lattice-based post-quantum algorithms has some uncertainty around it, and I have felt that there is more to the post-quantum story than adding sntrup761 to implementations. Classic McEliece has been mentioned to me a couple of times, and I took some time to learn it and did a cut n paste job of the proposed ISO standard and published draft-josefsson-mceliece in the IETF to make the algorithm easily available to the IETF community. A high-quality implementation of Classic McEliece has been published as libmceliece and I ve been supporting the work of Jan Moj to package libmceliece for Debian, alas it has been stuck in the ftp-master NEW queue for manual review for over two months. The pre-dependencies librandombytes and libcpucycles are available in Debian already. All that text writing and packaging work set the scene to write some code. When I added support for sntrup761 in libssh, I became familiar with the OpenSSH code base, so it was natural to return to OpenSSH to experiment with a new SSH KEX for Classic McEliece. DJB suggested to pick mceliece6688128 and combine it with the existing X25519+sntrup761 or with plain X25519. While a three-algorithm hybrid between X25519, sntrup761 and mceliece6688128 would be a simple drop-in for those that don t want to lose the benefits offered by sntrup761, I decided to start the journey on a pure combination of X25519 with mceliece6688128. The key combiner in sntrup761x25519 is a simple SHA512 call and the only good I can say about that is that it is simple to describe and implement, and doesn t raise too many questions since it is already deployed. After procrastinating coding for months, once I sat down to work it only took a couple of hours until I had a successful Classic McEliece SSH connection. I suppose my brain had sorted everything in background before I started. To reproduce it, please try the following in a Debian testing environment (I use podman to get a clean environment).
# podman run -it --rm debian:testing-slim
apt update
apt dist-upgrade -y
apt install -y wget python3 librandombytes-dev libcpucycles-dev gcc make git autoconf libz-dev libssl-dev
cd ~
wget -q -O- https://lib.mceliece.org/libmceliece-20230612.tar.gz   tar xfz -
cd libmceliece-20230612/
./configure
make install
ldconfig
cd ..
git clone https://gitlab.com/jas/openssh-portable
cd openssh-portable
git checkout jas/mceliece
autoreconf
./configure # verify 'libmceliece support: yes'
make # CC="cc -DDEBUG_KEX=1 -DDEBUG_KEXDH=1 -DDEBUG_KEXECDH=1"
You should now have a working SSH client and server that supports Classic McEliece! Verify support by running ./ssh -Q kex and it should mention mceliece6688128x25519-sha512@openssh.com. To have it print plenty of debug outputs, you may remove the # character on the final line, but don t use such a build in production. You can test it as follows:
./ssh-keygen -A # writes to /usr/local/etc/ssh_host_...
# setup public-key based login by running the following:
./ssh-keygen -t rsa -f ~/.ssh/id_rsa -P ""
cat ~/.ssh/id_rsa.pub > ~/.ssh/authorized_keys
adduser --system sshd
mkdir /var/empty
while true; do $PWD/sshd -p 2222 -f /dev/null; done &
./ssh -v -p 2222 localhost -oKexAlgorithms=mceliece6688128x25519-sha512@openssh.com date
On the client you should see output like this:
OpenSSH_9.5p1, OpenSSL 3.0.11 19 Sep 2023
...
debug1: SSH2_MSG_KEXINIT sent
debug1: SSH2_MSG_KEXINIT received
debug1: kex: algorithm: mceliece6688128x25519-sha512@openssh.com
debug1: kex: host key algorithm: ssh-ed25519
debug1: kex: server->client cipher: chacha20-poly1305@openssh.com MAC: <implicit> compression: none
debug1: kex: client->server cipher: chacha20-poly1305@openssh.com MAC: <implicit> compression: none
debug1: expecting SSH2_MSG_KEX_ECDH_REPLY
debug1: SSH2_MSG_KEX_ECDH_REPLY received
debug1: Server host key: ssh-ed25519 SHA256:YognhWY7+399J+/V8eAQWmM3UFDLT0dkmoj3pIJ0zXs
...
debug1: Host '[localhost]:2222' is known and matches the ED25519 host key.
debug1: Found key in /root/.ssh/known_hosts:1
debug1: rekey out after 134217728 blocks
debug1: SSH2_MSG_NEWKEYS sent
debug1: expecting SSH2_MSG_NEWKEYS
debug1: SSH2_MSG_NEWKEYS received
debug1: rekey in after 134217728 blocks
...
debug1: Sending command: date
debug1: pledge: fork
debug1: permanently_set_uid: 0/0
Environment:
  USER=root
  LOGNAME=root
  HOME=/root
  PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin
  MAIL=/var/mail/root
  SHELL=/bin/bash
  SSH_CLIENT=::1 46894 2222
  SSH_CONNECTION=::1 46894 ::1 2222
debug1: client_input_channel_req: channel 0 rtype exit-status reply 0
debug1: client_input_channel_req: channel 0 rtype eow@openssh.com reply 0
Sat Dec  9 22:22:40 UTC 2023
debug1: channel 0: free: client-session, nchannels 1
Transferred: sent 1048044, received 3500 bytes, in 0.0 seconds
Bytes per second: sent 23388935.4, received 78108.6
debug1: Exit status 0
Notice the kex: algorithm: mceliece6688128x25519-sha512@openssh.com output. How about network bandwidth usage? Below is a comparison of a complete SSH client connection such as the one above that log in and print date and logs out. Plain X25519 is around 7kb, X25519 with sntrup761 is around 9kb, and mceliece6688128 with X25519 is around 1MB. Yes, Classic McEliece has large keys, but for many environments, 1MB of data for the session establishment will barely be noticeable.
./ssh -v -p 2222 localhost -oKexAlgorithms=curve25519-sha256 date 2>&1   grep ^Transferred
Transferred: sent 3028, received 3612 bytes, in 0.0 seconds
./ssh -v -p 2222 localhost -oKexAlgorithms=sntrup761x25519-sha512@openssh.com date 2>&1   grep ^Transferred
Transferred: sent 4212, received 4596 bytes, in 0.0 seconds
./ssh -v -p 2222 localhost -oKexAlgorithms=mceliece6688128x25519-sha512@openssh.com date 2>&1   grep ^Transferred
Transferred: sent 1048044, received 3764 bytes, in 0.0 seconds
So how about session establishment time?
date; i=0; while test $i -le 100; do ./ssh -v -p 2222 localhost -oKexAlgorithms=curve25519-sha256 date > /dev/null 2>&1; i= expr $i + 1 ; done; date
Sat Dec  9 22:39:19 UTC 2023
Sat Dec  9 22:39:25 UTC 2023
# 6 seconds
date; i=0; while test $i -le 100; do ./ssh -v -p 2222 localhost -oKexAlgorithms=sntrup761x25519-sha512@openssh.com date > /dev/null 2>&1; i= expr $i + 1 ; done; date
Sat Dec  9 22:39:29 UTC 2023
Sat Dec  9 22:39:38 UTC 2023
# 9 seconds
date; i=0; while test $i -le 100; do ./ssh -v -p 2222 localhost -oKexAlgorithms=mceliece6688128x25519-sha512@openssh.com date > /dev/null 2>&1; i= expr $i + 1 ; done; date
Sat Dec  9 22:39:55 UTC 2023
Sat Dec  9 22:40:07 UTC 2023
# 12 seconds
I never noticed adding sntrup761, so I m pretty sure I wouldn t notice this increase either. This is all running on my laptop that runs Trisquel so take it with a grain of salt but at least the magnitude is clear. Future work items include: Happy post-quantum SSH ing! Update: Changing the mceliece6688128_keypair call to mceliece6688128f_keypair (i.e., using the fully compatible f-variant) results in McEliece being just as fast as sntrup761 on my machine. Update 2023-12-26: An initial IETF document draft-josefsson-ssh-mceliece-00 published.

Thorsten Alteholz: My Debian Activities in November 2023

FTP master This month I accepted 276 and rejected 25 packages. The overall number of packages that got accepted was 276. I also handled several RM bugs, so the archive did not grow that much :-). Debian LTS This was my hundred-thirteenth month that I did some work for the Debian LTS initiative, started by Raphael Hertzog at Freexian. During my allocated time I uploaded: The update of libde265 was a bit unusual this time. The security tracker had three CVEs listed for it and the maintainer was looking for a sponsor to fix them in Unstable. So far, so good! I sponsored the upload and suddenly a fourth CVE appeared in the security tracker. As the debian/changelog mentioned a different CVE, it was automatically added. Indeed upstreams changelog contained a patch for a CVE that was reserved but not yet published (hence the security tracker could not connect it to libde265). I informed upstream and as things turned out marking the CVE as public was just forgotten. Luckily there was some time left for the upcoming point release and all four patches finally arrived in Bookworm. Debian ELTS This month was the sixty-fourth ELTS month. During my allocated time I uploaded: In order to check whether the patch for the standalone version of minizip was ok, I used a test from the embedded minizip version in chromium and it worked. Debian Printing This month I uploaded a new upstream version of: Within the context of preserving old printing packages, I adopted: If you know of any other package that is also needed and still maintained by the QA team, please tell me. This work is generously funded by Freexian! Debian Astro This month I uploaded a new upstream version of: Debian IoT This month I uploaded a new upstream version of: Debian Mobcom This month I uploaded a package to fix one or the other issue: Other stuff This month I uploaded new upstream version of packages, did a source upload for the transition or uploaded it to fix one or the other issue:

6 December 2023

Reproducible Builds: Reproducible Builds in November 2023

Welcome to the November 2023 report from the Reproducible Builds project! In these reports we outline the most important things that we have been up to over the past month. As a rather rapid recap, whilst anyone may inspect the source code of free software for malicious flaws, almost all software is distributed to end users as pre-compiled binaries (more).

Reproducible Builds Summit 2023 Between October 31st and November 2nd, we held our seventh Reproducible Builds Summit in Hamburg, Germany! Amazingly, the agenda and all notes from all sessions are all online many thanks to everyone who wrote notes from the sessions. As a followup on one idea, started at the summit, Alexander Couzens and Holger Levsen started work on a cache (or tailored front-end) for the snapshot.debian.org service. The general idea is that, when rebuilding Debian, you do not actually need the whole ~140TB of data from snapshot.debian.org; rather, only a very small subset of the packages are ever used for for building. It turns out, for amd64, arm64, armhf, i386, ppc64el, riscv64 and s390 for Debian trixie, unstable and experimental, this is only around 500GB ie. less than 1%. Although the new service not yet ready for usage, it has already provided a promising outlook in this regard. More information is available on https://rebuilder-snapshot.debian.net and we hope that this service becomes usable in the coming weeks. The adjacent picture shows a sticky note authored by Jan-Benedict Glaw at the summit in Hamburg, confirming Holger Levsen s theory that rebuilding all Debian packages needs a very small subset of packages, the text states that 69,200 packages (in Debian sid) list 24,850 packages in their .buildinfo files, in 8,0200 variations. This little piece of paper was the beginning of rebuilder-snapshot and is a direct outcome of the summit! The Reproducible Builds team would like to thank our event sponsors who include Mullvad VPN, openSUSE, Debian, Software Freedom Conservancy, Allotropia and Aspiration Tech.

Beyond Trusting FOSS presentation at SeaGL On November 4th, Vagrant Cascadian presented Beyond Trusting FOSS at SeaGL in Seattle, WA in the United States. Founded in 2013, SeaGL is a free, grassroots technical summit dedicated to spreading awareness and knowledge about free source software, hardware and culture. The summary of Vagrant s talk mentions that it will:
[ ] introduce the concepts of Reproducible Builds, including best practices for developing and releasing software, the tools available to help diagnose issues, and touch on progress towards solving decades-old deeply pervasive fundamental security issues Learn how to verify and demonstrate trust, rather than simply hoping everything is OK!
Germane to the contents of the talk, the slides for Vagrant s talk can be built reproducibly, resulting in a PDF with a SHA1 of cfde2f8a0b7e6ec9b85377eeac0661d728b70f34 when built on Debian bookworm and c21fab273232c550ce822c4b0d9988e6c49aa2c3 on Debian sid at the time of writing.

Human Factors in Software Supply Chain Security Marcel Fourn , Dominik Wermke, Sascha Fahl and Yasemin Acar have published an article in a Special Issue of the IEEE s Security & Privacy magazine. Entitled A Viewpoint on Human Factors in Software Supply Chain Security: A Research Agenda, the paper justifies the need for reproducible builds to reach developers and end-users specifically, and furthermore points out some under-researched topics that we have seen mentioned in interviews. An author pre-print of the article is available in PDF form.

Community updates On our mailing list this month:

openSUSE updates Bernhard M. Wiedemann has created a wiki page outlining an proposal to create a general-purpose Linux distribution which consists of 100% bit-reproducible packages albeit minus the embedded signature within RPM files. It would be based on openSUSE Tumbleweed or, if available, its Slowroll-variant. In addition, Bernhard posted another monthly update for his work elsewhere in openSUSE.

Ubuntu Launchpad now supports .buildinfo files Back in 2017, Steve Langasek filed a bug against Ubuntu s Launchpad code hosting platform to report that .changes files (artifacts of building Ubuntu and Debian packages) reference .buildinfo files that aren t actually exposed by Launchpad itself. This was causing issues when attempting to process .changes files with tools such as Lintian. However, it was noticed last month that, in early August of this year, Simon Quigley had resolved this issue, and .buildinfo files are now available from the Launchpad system.

PHP reproducibility updates There have been two updates from the PHP programming language this month. Firstly, the widely-deployed PHPUnit framework for the PHP programming language have recently released version 10.5.0, which introduces the inclusion of a composer.lock file, ensuring total reproducibility of the shipped binary file. Further details and the discussion that went into their particular implementation can be found on the associated GitHub pull request. In addition, the presentation Leveraging Nix in the PHP ecosystem has been given in late October at the PHP International Conference in Munich by Pol Dellaiera. While the video replay is not yet available, the (reproducible) presentation slides and speaker notes are available.

diffoscope changes diffoscope is our in-depth and content-aware diff utility that can locate and diagnose reproducibility issues. This month, Chris Lamb made a number of changes, including:
  • Improving DOS/MBR extraction by adding support for 7z. [ ]
  • Adding a missing RequiredToolNotFound import. [ ]
  • As a UI/UX improvement, try and avoid printing an extended traceback if diffoscope runs out of memory. [ ]
  • Mark diffoscope as stable on PyPI.org. [ ]
  • Uploading version 252 to Debian unstable. [ ]

Website updates A huge number of notes were added to our website that were taken at our recent Reproducible Builds Summit held between October 31st and November 2nd in Hamburg, Germany. In particular, a big thanks to Arnout Engelen, Bernhard M. Wiedemann, Daan De Meyer, Evangelos Ribeiro Tzaras, Holger Levsen and Orhun Parmaks z. In addition to this, a number of other changes were made, including:

Upstream patches The Reproducible Builds project detects, dissects and attempts to fix as many currently-unreproducible packages as possible. We endeavour to send all of our patches upstream where appropriate. This month, we wrote a large number of such patches, including:

Reproducibility testing framework The Reproducible Builds project operates a comprehensive testing framework (available at tests.reproducible-builds.org) in order to check packages and other artifacts for reproducibility. In October, a number of changes were made by Holger Levsen:
  • Debian-related changes:
    • Track packages marked as Priority: important in a new package set. [ ][ ]
    • Stop scheduling packages that fail to build from source in bookworm [ ] and bullseye. [ ].
    • Add old releases dashboard link in web navigation. [ ]
    • Permit re-run of the pool_buildinfos script to be re-run for a specific year. [ ]
    • Grant jbglaw access to the osuosl4 node [ ][ ] along with lynxis [ ].
    • Increase RAM on the amd64 Ionos builders from 48 GiB to 64 GiB; thanks IONOS! [ ]
    • Move buster to archived suites. [ ][ ]
    • Reduce the number of arm64 architecture workers from 24 to 16 in order to improve stability [ ], reduce the workers for amd64 from 32 to 28 and, for i386, reduce from 12 down to 8 [ ].
    • Show the entire build history of each Debian package. [ ]
    • Stop scheduling already tested package/version combinations in Debian bookworm. [ ]
  • Snapshot service for rebuilders
    • Add an HTTP-based API endpoint. [ ][ ]
    • Add a Gunicorn instance to serve the HTTP API. [ ]
    • Add an NGINX config [ ][ ][ ][ ]
  • System-health:
    • Detect failures due to HTTP 503 Service Unavailable errors. [ ]
    • Detect failures to update package sets. [ ]
    • Detect unmet dependencies. (This usually occurs with builds of Debian live-build.) [ ]
  • Misc-related changes:
    • do install systemd-ommd on jenkins. [ ]
    • fix harmless typo in squid.conf for codethink04. [ ]
    • fixup: reproducible Debian: add gunicorn service to serve /api for rebuilder-snapshot.d.o. [ ]
    • Increase codethink04 s Squid cache_dir size setting to 16 GiB. [ ]
    • Don t install systemd-oomd as it unfortunately kills sshd [ ]
    • Use debootstrap from backports when commisioning nodes. [ ]
    • Add the live_build_debian_stretch_gnome, debsums-tests_buster and debsums-tests_buster jobs to the zombie list. [ ][ ]
    • Run jekyll build with the --watch argument when building the Reproducible Builds website. [ ]
    • Misc node maintenance. [ ][ ][ ]
Other changes were made as well, however, including Mattia Rizzolo fixing rc.local s Bash syntax so it can actually run [ ], commenting away some file cleanup code that is (potentially) deleting too much [ ] and fixing the html_brekages page for Debian package builds [ ]. Finally, diagnosed and submitted a patch to add a AddEncoding gzip .gz line to the tests.reproducible-builds.org Apache configuration so that Gzip files aren t re-compressed as Gzip which some clients can t deal with (as well as being a waste of time). [ ]

If you are interested in contributing to the Reproducible Builds project, please visit our Contribute page on our website. However, you can get in touch with us via:

5 December 2023

Louis-Philippe V ronneau: Montreal's Debian & Stuff - November 2023

Hello from a snowy Montr al! My life has been pretty busy lately1 so please forgive this late report. On November 19th, our local Debian User Group met at Montreal's most prominent hackerspace, Foulab. We've been there a few times already, but since our last visit, Foulab has had some membership/financial troubles. Happy to say things are going well again and a new team has taken over the space. This meetup wasn't the most productive day for me (something about being exhausted apparently makes it hard to concentrate), but other people did a bunch of interesting stuff :) Pictures Here are a bunch of pictures I took! Foulab is always a great place to snap quirky things :) A sign on a whiteboard that says 'Bienvenue aux laboratoires qui rends fou' The entrance of the bio-hacking house, with a list of rules An exploded keyboard with a 'Press F1 to continue' sign An inflatable Tux with a Foulab T-Shirt A picture of the woodworking workshop

  1. More busy than the typical end of semester rush... At work, we are currently renegotiating our collective bargaining agreement and things aren't going so well. We went on strike for a few days already and we're planning on another 7 days starting on Friday 8th.

Matthew Garrett: Why does Gnome fingerprint unlock not unlock the keyring?

There's a decent number of laptops with fingerprint readers that are supported by Linux, and Gnome has some nice integration to make use of that for authentication purposes. But if you log in with a fingerprint, the moment you start any app that wants to access stored passwords you'll get a prompt asking you to type in your password, which feels like it somewhat defeats the point. Mac users don't have this problem - authenticate with TouchID and all your passwords are available after login. Why the difference?

Fingerprint detection can be done in two primary ways. The first is that a fingerprint reader is effectively just a scanner - it passes a graphical representation of the fingerprint back to the OS and the OS decides whether or not it matches an enrolled finger. The second is for the fingerprint reader to make that determination itself, either storing a set of trusted fingerprints in its own storage or supporting being passed a set of encrypted images to compare against. Fprint supports both of these, but note that in both cases all that we get at the end of the day is a statement of "The fingerprint matched" or "The fingerprint didn't match" - we can't associate anything else with that.

Apple's solution involves wiring the fingerprint reader to a secure enclave, an independently running security chip that can store encrypted secrets or keys and only release them under pre-defined circumstances. Rather than the fingerprint reader providing information directly to the OS, it provides it to the secure enclave. If the fingerprint matches, the secure enclave can then provide some otherwise secret material to the OS. Critically, if the fingerprint doesn't match, the enclave will never release this material.

And that's the difference. When you perform TouchID authentication, the secure enclave can decide to release a secret that can be used to decrypt your keyring. We can't easily do this under Linux because we don't have an interface to store those secrets. The secret material can't just be stored on disk - that would allow anyone who had access to the disk to use that material to decrypt the keyring and get access to the passwords, defeating the object. We can't use the TPM because there's no secure communications channel between the fingerprint reader and the TPM, so we can't configure the TPM to release secrets only if an associated fingerprint is provided.

So the simple answer is that fingerprint unlock doesn't unlock the keyring because there's currently no secure way to do that. It's not intransigence on the part of the developers or a conspiracy to make life more annoying. It'd be great to fix it, but I don't see an easy way to do so at the moment.

comment count unavailable comments

Dirk Eddelbuettel: RcppArmadillo 0.12.6.6.1 on CRAN: No More Deprecation

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1126 other packages on CRAN, downloaded 31.7 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 569 times according to Google Scholar. This release ends the practice on asking Armadillo to suppress deprecation warnings. RcppArmadillo, as noted, has a large user base. Sometimes Conrad sometimes made changes without too much of a heads-up so at times it was opportune to not bring those warnings to dozens (or maybe hundreds) of packages at CRAN. Yet we need to balance this with the demonstrable need to call out older deprecated code use. So sixteen months ago, with GitHub issue #391, we started to alert author of 30+ affected packages and supplied either pull requests or emailed patches to all. Eleven months ago GitHub issues #402 was added for a second deprecation. And the time of making the switch has come. Release 0.12.6.6.1 no longer defines ARMA_IGNORE_DEPRECATED_MARKER. So among the over 1100 packages using RcppArmadillo at CRAN, around a good dozen or so were flagged in the upload but CRAN concurred and let the package migrate to CRAN. If you maintain an affected package, consider applying the patch or pull request now. A simple stop-gap measure also exists by adding -DARMA_IGNORE_DEPRECATED_MARKER to src/Makevars as either PKG_CPPFLAGS or PKG_CXXFLAGS to reactivate it. But a proper code update, which is generally simple, may be better. If you are unsure, do not hesitate to get in touch. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.6.6.1 (2023-12-03)
  • Following the extendeded transition in #391 and #402, this release no longer sets ARMA_IGNORE_DEPRECATED_MARKER. Maintainers of affected packages have received pull requests or patches and can set -DARMA_IGNORE_DEPRECATED_MARKER as PKG_CPPFLAGS.

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

4 December 2023

Ian Jackson: Don t use apt-get source; use dgit

tl;dr: If you are a Debian user who knows git, don t work with Debian source packages. Don t use apt source, or dpkg-source. Instead, use dgit and work in git. Also, don t use: VCS links on official Debian web pages, debcheckout, or Debian s (semi-)official gitlab, Salsa. These are suitable for Debian experts only; for most people they can be beartraps. Instead, use dgit. > Struggling with Debian source packages? A friend of mine recently asked for help on IRC. They re an experienced Debian administrator and user, and were trying to: make a change to a Debian package; build and install and run binary packages from it; and record that change for their future self, and their colleagues. They ended up trying to comprehend quilt. quilt is an ancient utility for managing sets of source code patches, from well before the era of modern version control. It has many strange behaviours and footguns. Debian s ancient and obsolete tarballs-and-patches source package format (which I designed the initial version of in 1993) nowadays uses quilt, at least for most packages. You don t want to deal with any of this nonsense. You don t want to learn quilt, and suffer its misbehaviours. You don t want to learn about Debian source packages and wrestle dpkg-source. Happily, you don t need to. Just use dgit One of dgit s main objectives is to minimise the amount of Debian craziness you need to learn. dgit aims to empower you to make changes to the software you re running, conveniently and with a minimum of fuss. You can use dgit to get the source code to a Debian package, as a git tree, with dgit clone (and dgit fetch). The git tree can be made into a binary package directly. The only things you really need to know are:
  1. By default dgit fetches from Debian unstable, the main work-in-progress branch. You may want something like dgit clone PACKAGE bookworm,-security (yes, with a comma).
  2. You probably want to edit debian/changelog to make your packages have a different version number.
  3. To build binaries, run dpkg-buildpackage -uc -b.
  4. Debian package builds are often disastrously messsy: builds might modify source files; and the official debian/rules clean can be inadequate, or crazy. Always commit before building, and use git clean and git reset --hard instead of running clean rules from the package.
Don t try to make a Debian source package. (Don t read the dpkg-source manual!) Instead, to preserve and share your work, use the git branch. dgit pull or dgit fetch can be used to get updates. There is a more comprehensive tutorial, with example runes, in the dgit-user(7) manpage. (There is of course complete reference documentation, but you don t need to bother reading it.) Objections But I don t want to learn yet another tool One of dgit s main goals is to save people from learning things you don t need to. It aims to be straightforward, convenient, and (so far as Debian permits) unsurprising. So: don t learn dgit. Just run it and it will be fine :-). Shouldn t I be using official Debian git repos? Absolutely not. Unless you are a Debian expert, these can be terrible beartraps. One possible outcome is that you might build an apparently working program but without the security patches. Yikes! I discussed this in more detail in 2021 in another blog post plugging dgit. Gosh, is Debian really this bad? Yes. On behalf of the Debian Project, I apologise. Debian is a very conservative institution. Change usually comes very slowly. (And when rapid or radical change has been forced through, the results haven t always been pretty, either technically or socially.) Sadly this means that sometimes much needed change can take a very long time, if it happens at all. But this tendency also provides the stability and reliability that people have come to rely on Debian for. I m a Debian maintainer. You tell me dgit is something totally different! dgit is, in fact, a general bidirectional gateway between the Debian archive and git. So yes, dgit is also a tool for Debian uploaders. You should use it to do your uploads, whenever you can. It s more convenient and more reliable than git-buildpackage and dput runes, and produces better output for users. You too can start to forget how to deal with source packages! A full treatment of this is beyond the scope of this blog post.

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3 December 2023

Iustin Pop: Life, getting sick and unfit

Like clockwork, like every autumn, got sick again. Just a flu, actually probably two in a row. I don t really understand it - from January to September I m feeling really awesome, and I manage to do sports five days a week, or more. Then September comes, and things start degrading, and then October or November, I get sick and it takes me ~3 weeks to recover, during which I m not even managing reliably 5K steps a day (from walking), not even talking about running or swimming or biking. My Garmin statistics for November compared to October (which wasn t a good month either) are depressing. Let s not even bring up for example July I can see three potential pathways: Basically all three pathways are similar, just not sure what s the root cause (vs. a trigger). I just did a D test, and despite taking regularly supplements, it was below normal range. So clearly somewhere there, lack of vitamin D is a problem. I probably should do a yearly check-up at end of September? Sigh, I still haven t found the detailed user manual for Homo Sapiens. If anyone has it, specifically for version late 1900 s, I d be thankful. Till next time, hopefully by then things will get better.

1 December 2023

Scarlett Gately Moore: KDE neon and snaps, Debian Weekly report.

While the winter sets in, I have been mostly busy following up on job leads and applying to anything and everything. Something has to stick I am trying! Even out of industry. Debian: This weeks main focus was getting involved and familiar with Debian rust-packaging. It is really quite different from other teams! I was successful and the MR is https://salsa.debian.org/rust-team/debcargo-conf/-/merge_requests/566 if anyone on the rust team can take a gander, I will upload when merged. I will get a few more under my belt next week now that I understand the process. KDE neon: Unfortunately, I did not have much time for neon, but I did get some red builds fixed and started uploading the new signing key for mauikit* applications. KDE snaps: A big thank you to Josh and Albert for merging all my MR s and I have finished 23.08.3 releases to stable. I released a new Krita 5.2.1 with some runtime fixes, please update. Still no source of income so I must ask, if you have any spare change, please consider a donation. Thank you, Scarlett https://gofund.me/b74e4c6f

Paul Wise: FLOSS Activities November 2023

Focus This month I didn't have any particular focus. I just worked on issues in my info bubble.

Changes

Issues

Review
  • Debian packages: sponsored purple-discord x2
  • Debian wiki: RecentChanges for the month
  • Debian BTS usertags: changes for the month
  • Debian screenshots:
    • approved c-evo-dh-gtk2 fim fish foliate mpc123 nfoview qpwgraph scite viewnior
    • rejected hw-probe (photos), wine64 (desktop logo), phasex (artwork), qpwgraph (about dialog), fim/fish (help output), python-lunch (full desktop), ruby-full (website), ausweisapp2 (PII), pngtools (movie poster), x11vnc (web page,) mount (systemd), blastem (photo), ca-certificates (tiny, Windows)

Administration
  • Debian servers: extract user data from recent wiki backups
  • Debian wiki: fix broken user account, approve accounts

Communication
  • Respond to queries from Debian users and contributors on the mailing lists and IRC.

Sponsors The SWH work was sponsored. All other work was done on a volunteer basis.

30 November 2023

Dirk Eddelbuettel: RcppQuantuccia 0.1.1 on CRAN: Maintenance

A minor release of RcppQuantuccia arrived on CRAN today. RcppQuantuccia started from the Quantuccia header-only subset / variant of QuantLib which it brings it to R. This project validated the idea of making the calendaring functionality of QuantLib available in a more compact and standalone project which we now do with qlcal which can be seen as a successor to this. This releases updates the code to address warning now shown under R-devel when -Wformat -Wformat-security are enabled. This amounted to re-generating RcppExports.cpp under an updated Rcpp version. We also no longer set C++14 explicitly as a compilation standard. The complete list changes for this release follows.

Changes in version 0.1.2 (2023-11-29)
  • RcppExports.cpp has been regenerated under an updated Rcpp to address a format string warning under R-devel
  • The compilation standard is no longer set to C++14

Courtesy of CRANberries, there is also a diffstat report relative to the previous release. More information is on the RcppQuantuccia page. Issues and bugreports should go to the GitHub issue tracker. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

28 November 2023

Dirk Eddelbuettel: RcppCNPy 0.2.12 on CRAN: More Maintenance

A new (and again somewhat minor) maintenance release of the RcppCNPy package arrived on CRAN earlier today. RcppCNPy provides R with read and write access to NumPy files thanks to the cnpy library by Carl Rogers along with Rcpp for the glue to R. Recent changes in r-devel hone in on issues concerning printf format string inaccuracies the compiler can detect via the -Wformat -Wformat-security flags. Two fairly simplye ones were present here and have been addressed. In the time since the last release about twenty months ago two or three other minor packaging and setup details have also been taken care of, details are below.

Changes in version 0.2.12 (2022-11-27)
  • The continuous integration workflow received a trivial update, twice.
  • The C++ compilation standard is now implicit per CRAN and R preference.
  • The CITATION file format has been updated for the current usage.
  • Two print format string issues reported by current R-devel have been addressed.

CRANberries also provides a diffstat report for the latest release. As always, feedback is welcome and the best place to start a discussion may be the GitHub issue tickets page. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

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