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install-putior

install-putior

Install and configure the putior R package for workflow visualization. Covers CRAN and GitHub installation, optional dependencies (mcptools, ellmer, shiny, shinyAce, logger, plumber2), and verification of the complete annotation-to-diagram pipeline. Use when setting up putior for the first time, preparing a machine for workflow visualization tasks, when a d…

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GitHub

name: install-putior locale: caveman source_locale: en source_commit: 82c77053 fence_basis_commit: 82c77053 translator: "Julius Brussee homage — caveman" translation_date: "2026-04-24" description: > Install and configure the putior R package for workflow visualization. Covers CRAN and GitHub installation, optional dependencies (mcptools, ellmer, shiny, shinyAce, logger, plumber2), and verification of the complete annotation-to-diagram pipeline. Use when setting up putior for the first time, preparing a machine for workflow visualization tasks, when a downstream skill requires putior to be installed, or restoring an environment after an R version upgrade or renv wipe. license: MIT allowed-tools: Read Write Edit Bash Grep Glob metadata: author: Philipp Thoss version: "1.0" domain: workflow-visualization complexity: basic language: R tags: putior, install, workflow, mermaid, visualization, R

Install putior

Install putior R package + optional dependencies so annotation-to-diagram pipeline ready to use.

When Use

  • Setting up putior for first time in project or environment
  • Preparing machine for workflow visualization tasks
  • Downstream skill (analyze-codebase-workflow, generate-workflow-diagram) needs putior installed
  • Restoring environment after R version upgrade or renv wipe

Inputs

  • Required: Access to R installation (>= 4.1.0)
  • Optional: Install from CRAN (default) or GitHub dev version
  • Optional: Which optional dependency groups to install: MCP (mcptools, ellmer), interactive (shiny, shinyAce), logging (logger), ACP (plumber2)

Steps

Step 1: Verify R Installation

Confirm R available + meets minimum version requirement.

R.Version()$version.string
# Must be >= 4.1.0
# From WSL with Windows R
"/mnt/c/Program Files/R/R-4.5.2/bin/Rscript.exe" -e "cat(R.version.string)"

Got: R version string printed, >= 4.1.0.

If fail: Install or upgrade R. On Windows, download from https://cran.r-project.org/bin/windows/base/. On Linux, use sudo apt install r-base.

Step 2: Install putior

Install from CRAN (stable) or GitHub (dev).

# CRAN (recommended)
install.packages("putior")

# GitHub dev version (if latest features needed)
remotes::install_github("pjt222/putior")

Got: Package installs no errors. library(putior) loads silently.

If fail: CRAN installation fails with "not available for this version of R"? Use GitHub version. GitHub fails? Check remotes installed: install.packages("remotes").

Step 3: Install Optional Dependencies

Install optional packages based on required functionality.

# MCP server integration (for AI assistant access)
remotes::install_github("posit-dev/mcptools")
install.packages("ellmer")

# Interactive sandbox
install.packages("shiny")
install.packages("shinyAce")

# Structured logging
install.packages("logger")

# ACP server (agent-to-agent communication)
install.packages("plumber2")

Got: Each package installs no errors.

If fail: mcptools → ensure remotes installed first. System dependency errors on Linux? Install required libraries (sudo apt install libcurl4-openssl-dev for httr2 dependency).

Step 4: Verify Installation

Run basic pipeline to confirm everything works.

library(putior)

# Check package version
packageVersion("putior")

# Verify core functions are available
stopifnot(
  is.function(put),
  is.function(put_auto),
  is.function(put_diagram),
  is.function(put_generate),
  is.function(put_merge),
  is.function(put_theme)
)

# Test basic pipeline with a temp file
tmp <- tempfile(fileext = ".R")
writeLines("# put id:'test', label:'Hello putior'", tmp)
cat(put_diagram(put(tmp)))

Got: Mermaid flowchart code printed to console containing test + Hello putior.

Key defaults: All scan functions (put(), put_auto(), put_generate(), put_merge()) default to recursive = TRUE, scanning subdirectories automatic. Breaking change from pre-0.2.0 versions where default was FALSE. All scan functions also accept exclude parameter for regex-based file filtering (put("./src/", exclude = "test_")).

Optional shiny package installed? Try interactive sandbox:

putior::run_sandbox()

Launches browser-based editor where you experiment with PUT annotation syntax + see diagrams rendered real time.

If fail: put not found? Package didn't install correctly. Reinstall with install.packages("putior", dependencies = TRUE). Diagram empty? Verify temp file created + annotation syntax uses single quotes inside double quotes.

Checks

  • library(putior) loads no errors
  • packageVersion("putior") returns valid version
  • put() with file containing valid PUT annotation returns data frame with one row
  • put_diagram() produces Mermaid code starting with flowchart
  • All requested optional dependencies load no errors

Pitfalls

  • Wrong quote nesting: PUT annotations use single quotes inside annotation: id:'name', not id:"name" (conflicts with comment string delimiter in some contexts).
  • Missing Pandoc for vignettes: Plan to build putior vignettes locally? Ensure RSTUDIO_PANDOC set in .Renviron.
  • renv isolation: Project uses renv? Must install putior inside renv library. Run renv::install("putior") not install.packages("putior").
  • GitHub rate limits: Installing mcptools from GitHub may fail without GITHUB_PAT. Set one via usethis::create_github_token().

See Also

  • analyze-codebase-workflow — next step after installation to survey codebase
  • configure-putior-mcp — set up MCP server after installing optional deps
  • manage-renv-dependencies — manage putior within renv environment
  • configure-mcp-server — general MCP server configuration
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