Package index • rixpress

Declaring derivations

Functions that define Nix derivations that run R or Python code, or compile Quarto or R Markdown documents.

rxp_jl(): Create a Nix expression running a Julia function

rxp_py(): Create a Nix expression running a Python function

rxp_py_file(): rxp_py_file

rxp_qmd(): Render a Quarto document as a Nix derivation

rxp_r(): Create a Nix expression running an R function

rxp_r_file(): rxp_r_file

rxp_rmd(): Render an R Markdown document as a Nix derivation

Building the pipeline

Functions to generate and build the Nix pipeline

rixpress(): Generate Nix Pipeline Code with a Generic Default Target

rxp_make(): Build pipeline using Nix

Project utilities

Functions for initializing projects, copying outputs, reading derivations, and inspecting build artifacts.

print(<derivation>): Print method for derivation objects

rxp_copy(): Copy derivations from the Nix store to current working directory

rxp_init(): Initialize rixpress project

rxp_inspect(): Inspect the build result of a pipeline.

rxp_list_logs(): List all available build logs

rxp_load(): Load output of a derivation

rxp_read(): Read output of a derivation

Archive import/export

Functions for importing and exporting Nix store paths using archive files.

export_nix_archive(): Export Nix store paths to an archive

import_nix_archive(): Import Nix store paths from an archive

DAG and CI tools

Tools for generating DAGs and preparing pipelines for rendering or deployment in CI environments.

dag_for_ci(): Export DAG of pipeline and prepare it for rendering on CI

generate_dag(): Generate a DAG from a list of derivations

rxp_ga(): Run a pipeline on GitHub Actions

R ↔︎ Python interop

Functions to move data and objects between R and Python runtimes.

rxp_py2r(): Transfer Python object into an R session.

rxp_r2py(): Transfer R object into a Python session.

Visualization

Functions for visualizing pipeline DAGs using different backends.

rxp_ggdag(): Create a Directed Acyclic Graph (DAG) representing the pipeline using ggplot2

rxp_visnetwork(): Create a Directed Acyclic Graph (DAG) representing the pipeline using visNetwork

Python import manipulation

Utilities to adjust Python import statements to match project or environment conventions.

add_import(): Add an import statement to Python files in the _rixpress folder matching a Nix environment name

adjust_import(): Adjust Python import statements