twbparser

Parse Tableau TWB/TWBX files in R: extract datasources, joins, relationships, fields, and calculated fields, plus inspect and unpack TWBX assets. Built for large workbooks and Shiny integration.

Features

TWB/TWBX: open packaged workbooks and auto‑extract the largest .twb
Relationships & joins: parse legacy joins and modern (2020.2+) relationships
Calculated fields / parameters: list formulas, datatypes, roles, and parameter metadata
Datasources: connection classes/targets, inferred locations, field counts
Dependency graph: build/plot field dependency DAGs
TWBX assets: list/extract images, extracts, text files, etc.
Ergonomics: parser$summary (no parens), parser$overview, parser$pages, parser$pages_summary

Installation

# Install from GitHub (using pak)
install.packages("pak")
pak::pak("PrigasG/twbparser")

# Or using devtools
install.packages("devtools")
devtools::install_github("PrigasG/twbparser")

Quick Start

Summary for twb workbook

library(twbparser)
library(fs)

# Parse workbook
path <- fs::path_abs("path/to/workbook.twbx")
stopifnot(file.exists(path))

parser <- TwbParser$new(path)

# summary (prints)
parser$summary

# summary (one row tibble)
parser$overview

With a “.twbx” file

parser <- TWBParser$new("path/to/workbook.twbx")

# Inspect manifest
parser$twbx_manifest

Peek inside

# Datasources / parameters / all sources
parser$get_datasources()
parser$get_parameters()
parser$get_datasources_all()

# Fields and calculated fields (parameters excluded by default)
parser$get_fields()
parser$get_calculated_fields(pretty = TRUE, wrap = 120)

Page insights (dashboards, worksheets, stories)

# What pages exist?
parser$pages
# Or functional: twb_pages(parser)

# One-line summaries per page
parser$pages_summary

# What is on a page and where? (filters include x/y/w/h on dashboards)
parser$get_page_composition("Executive Dashboard")

# Filters across dashboards (with positions)
twb_dashboard_filters(parser)

# Chart/mark types per worksheet
twb_charts(parser)

# Colors and palettes referenced
twb_colors(parser)

Relationships/Joins

library(dplyr)
library(tidyr)

rel_df <- parser$get_relationships() |>
  mutate(
    op   = replace_na(operator, "="),
    left = paste0(left_table,  ".", left_field),
    right= paste0(right_table, ".", right_field),
    Join = paste(left, op, right)
  ) |>
  select(Join, datasource_left = left_table, datasource_right = right_table,
         operator, everything(), -left, -right, -left_is_calc, -right_is_calc)

rel_df

Nice tabular view for calculated fields

library(dplyr)

calcs <- parser$get_calculated_fields(pretty = TRUE, wrap = 120) |>
  select(Name = name, Formula = formula_pretty, Datasource = datasource)

# DT example optional:
# DT::datatable(calcs, escape = FALSE, rownames = FALSE,
#   options = list(scrollX = TRUE, pageLength = 50)) |>
#   DT::formatStyle("Formula", `white-space` = "pre", `font-family` = "monospace")

And graph objects (via igraph or ggraph) for visualization:

Rscript -e "twbparser::parse_twb('my_dashboard.twb', output_dir = 'results/')"

Integration Examples

R Shiny: Build an interactive dashboard showing calculations, filters, and DAG visualizations.
Power BI: Export calculated field logic to replicate measures in DAX.
Data lineage: Combine with DiagrammeR or visNetwork for workflow diagrams.

What’s new (0.3.0)

Page insights (pages, composition, summaries), filter positions on dashboards
No-parens parser$summary plus read-only properties (overview, pages, pages_summary, dashboard_summary)
Calculated fields exclude parameters by default; opt-in with include_parameters = TRUE

Contributing

Fork the repo
Create a feature branch (git checkout -b feature/new-feature)
Commit changes (git commit -m ‘Add new feature’)
Push branch (git push origin feature/new-feature)
Open a Pull Request

License

This package is licensed under the MIT License — see the LICENSE file for details.