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krr: init at 1.7.0
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68
pkgs/by-name/kr/krr/package.nix
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68
pkgs/by-name/kr/krr/package.nix
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{ lib
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, python3
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, fetchFromGitHub
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, testers
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, krr
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}:
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python3.pkgs.buildPythonPackage rec {
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pname = "krr";
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version = "1.7.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "robusta-dev";
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repo = "krr";
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rev = "refs/tags/v${version}";
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hash = "sha256-8K97v/8lsLqr88MSOT3peOy0GZp1so9GaipG/t2uR88=";
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};
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postPatch = ''
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substituteInPlace pyproject.toml \
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--replace-fail 'aiostream = "^0.4.5"' 'aiostream = "*"' \
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--replace-fail 'kubernetes = "^26.1.0"' 'kubernetes = "*"' \
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--replace-fail 'pydantic = "1.10.7"' 'pydantic = "*"' \
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--replace-fail 'typer = { extras = ["all"], version = "^0.7.0" }' 'typer = { extras = ["all"], version = "*" }'
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'';
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propagatedBuildInputs = with python3.pkgs; [
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aiostream
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alive-progress
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kubernetes
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numpy
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poetry-core
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prometheus-api-client
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prometrix
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pydantic_1
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slack-sdk
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typer
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] ++ typer.optional-dependencies.all;
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nativeCheckInputs = with python3.pkgs; [
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pytestCheckHook
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];
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pythonImportsCheck = [
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"robusta_krr"
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];
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passthru.tests.version = testers.testVersion {
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package = krr;
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command = "krr version";
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};
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meta = with lib; {
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description = "Prometheus-based Kubernetes resource recommendations";
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longDescription = ''
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Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing
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resource allocation in Kubernetes clusters. It gathers Pod usage data from
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Prometheus and recommends requests and limits for CPU and memory. This
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reduces costs and improves performance.
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'';
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homepage = "https://github.com/robusta-dev/krr";
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changelog = "https://github.com/robusta-dev/krr/releases/tag/v${src.rev}";
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license = licenses.mit;
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maintainers = with lib.maintainers; [ azahi ];
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mainProgram = "krr";
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};
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}
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