I'm delighted to announce that my Toolchain colleague, Pants maintainer @ancient-vegetable-10556, will be giving a talk at Pycon US this year about Pants' hermetic environment (talk description). Congrats, Chris! Several other Pants maintainers from the Toolchain team will be attending as well. It's the first time since 2019 that Pycon is being held in-person again. That special experience has been greatly missed. Who else in the community is going this year? Let's make sure to find time for folks meet at last! (Or reunite, as the case may be…)

usability question. I am curious how much information about PEX that Pants run would be available to get from the system

ps

call.

I am developing some Python applications using AWS Lambda. Can I build a Docker image using pants to deploy a Python Lambda function to a container image?

Hello folks! Question about "target arch". The usecase is: we have dependency on

pytorch

which can be installed with CPU or GPU support. For tests, and having consistent local dev env, we would obviously need

CPU

. For deployment to training infra, we would need

GPU

. With my limited knowldge of 👖 I see an imperfect solution: • have tags on literally every target (because we have a lot of things depending on

pytorch

potentially transitively)

cpu

or

gpu

and duplicate those targets' code, changing only dependency on

torch_cpu

vs

torch_gpu

Question: is it possible, without messing tags, jsut somehow define a conditional

python_requirement

, say (in pseudocode)

python_requirement(
    name = "torch_1.10",
    if (option == "cpu") {
        requirements = ["torch @ <https://download.pytorch.org/whl/cpu/torch-1.10.0%2Bcpu-cp38-cp38-linux_x86_64.whl>"]
    }
    else {
        requirements = ["torch @ <https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl>"]
    }
)

maybe using options or smth like that. So that the choice is made at the level of the initial requirement. Something similar to Bazel's toolchain hosts... Any ideas are welcome! Thanks! Alex

Hi people.! Is it possible to use Pants with several repos, smth similar to http_archive in bazel and new_http_archive in please.build?

Hi! Is there a pants plugin that allows to build docker images declaratively instead of using dockerfiles without using the docker daemon?

Is there any guidance for using pantsbuild with multi-repos that may have dependencies?

Another question, can I use

relocated_files

to rename a file? I am trying to do this but get the error

Cannot strip prefix [...] from root directory (Digest with hash [...]) - subdirectory [...] didn't contain a directory named [...] but did contain file named: [...]

How does pants doeal with symlinks?

Hello, I’ve a 3rd-party lockfile generation issue 🧵

Found a dead link in

Incremental Adoption

. The section on Setting up Linters call outs a Linters and Formatters link that is dead for me. Anyone else have the same issue?

I only found one mention of it in the github issues, but has there been any traction behind using

pyright

for type checking instead of

mypy

? I'm finding

mypy

incredibly prohibitive to get working. For a tool written to work with python as the intended target, they're rather inflexible. Pyright has been working great for us, but it's another thing that requires us to construct a large venv at the moment and type check every file all the time.

I could use some help debugging the remote caching server. I have a local instance of the buildfarm build-server running off of this documentation and my pants.toml configured like:

remote_cache_read = true
remote_cache_write = true
remote_store_address = "<grpc://localhost:8980>"
remote_instance_name = "memory"

I could use help figuring out if the pants build actually hits the running remote cache instance.

I'm very pleased to announce our newest Pants Maintainer, Joshua Cannon! Since joining the Pants community a few months ago, Joshua has made many prominent contributions. These include: Flake8 plugin support, running Pylint with transitive dependencies, several enhancements to Python dependency inference, dynamic IU improvements, streamlined, mypy-friendly option registration, as well as many bug and documentation fixes. He's also been engaged with the community, answering user questions on Slack and making new users feel welcome. Given Joshua's commitment and contributions to the Pants project, we're thrilled to have him join the core Maintainer group, to help drive the project forward to ever greater success. Please join me in thanking Joshua for his contributions so far, and congratulating him on this well-deserved recognition!

Congratulations @bitter-ability-32190 and very much earned. It's a privilege to have you on the team. ❤️

Colin Mocherie said it best in this short clip:

i think your memes are my fav contribution to the project 😂

Please join me in welcoming our newest Contributor, Colin Mocherie...

I have an error that pants is seemingly complaining about not having

pytest

? More details in thread

I'm on Pants 1.27 trying to compile scala 2.12.8. I see here that 2.12.8 is also the default internal version, I was getting errors with 2.12.<latest> so I decided to stick with .8. However I see 2.12.14 getting pulled in 🧵

Makes me so happy to see this community attracting and securing great talent, such as @bitter-ability-32190 !

I find it a bit strange that while I’m iterating on a test (using

--loop test ...

) why it all of a sudden starts resolving constraints.txt again.. ?

⠁ 18.66s Resolving constraints.txt

i.e. I’ve only touched on the test code in a

test_foo.py

file, nothing else. Is this expected?

What would be the easiest way to say that one target should depend on every target of a certain type in another directory?

what are some easy issues that can be fixed with pants?

i notice the repo doesn’t have a “good starter issue” label or something to that affect

Thoughts on getting rid of the concept of "basic vs. advanced" options?

Hi, quick question regarding the inner workings of

GenerateSourcesRequest

-based rules. Assuming that I’ve got a target like

mytarget(sources=['source1.ext', 'source2.ext'])

and then I write a custom

GenerateMySourcesRequest

like:

class GenerateMySourcesRequest(GenerateSourcesRequest):
  input = MySourcesField
  output = MyGeneratedSourcesField

How or where does Pants attach that

MyGeneratedSourcesField

referenced in the output? Does Pants create a target on the fly with that field or does it simply attach the field to the original

mytarget

?

(Not a critique of the fantastic docs, just general discussion) Are people familiar with "The Grand Unified Theory of Documentation"? https://diataxis.fr/ A lot of people/organizations are using this template for their documentation, and it seems to be a good template (as any) to help think about and structure documentation.

Is there a way to limit the depth of

--changed-dependees

when using advanced target selection? For example, only go 4 links away or something like that?

Hey Pants folks! I'm having an interesting problem that I hope someone on here might be able to help me with. I'm using Pants for Python builds and recently I've been having an issue when I update a package version; I get the following error:

ProcessExecutionFailure: Process 'Resolving constraints.txt' failed with exit code 1.
...
KeyError: "There is no item named 'Hypercorn-0.13.2.dist-info/METADATA' in the archive"

In that example, I went from

hypercorn

0.11.2 to 0.13.2. At first I was thinking this is just related to that particular library, but I've seen that issue happen with another:

stream-chat

. Other requirements seem to be updating fine and updating that package with pip directly seems to work. Has anyone else experienced this kind of issue and/or can point me in the right direction? Any help would be more appreciated! Thanks!