bpmnVisualizationR is an R package for visualizing process execution data on BPMN diagrams, using overlays, style customization and interactions.
It is made possible by htmlwidgets, which provides an easy-to-use framework for bringing together R and the bpmn-visualization TypeScript library.
Devtools is an R package used to ease the installation and the development of other R packages.
It can be installed from the R console:
install.packages('devtools') Install bpmnVisualizationR
The latest stable version of the bpmnVisualizationR package can be obtained from CRAN with the command:
install.packages("bpmnVisualizationR")
To install a dedicated version (available versions can be found in the GitHub releases page), run:
devtools::install_github("process-analytics/bpmn-visualization-R@v0.5.0")
Or install the development version:
devtools::install_github("process-analytics/bpmn-visualization-R")
Then, make the library available to the current R project:
library(bpmnVisualizationR)
bpmnVisualizationR accepts a BPMN file (or an XML document):
# File from the package
bpmn_file <- system.file("examples/Email_Voting.bpmn", package = "bpmnVisualizationR")
Or
bpmn_file <- file.choose()
Or
bpmn_file <- "path_to_bpmn_file"
Or
bpmn_file <- "<?xml version="1.0" encoding="UTF-8"?> ...xml_content"
💡 The package provides some BPMN examples.
They are taken from the BPMN 2.0 examples non-normative machine-readable files.
bpmnVisualizationR::display(bpmn_file)Display the BPMN diagram with overlays
overlays <- list(bpmnVisualizationR::create_overlay("bpmn_element_id_1", "42"),
bpmnVisualizationR::create_overlay("bpmn_element_id_2", "9"))
bpmnVisualizationR::display(bpmn_file, overlays)
style <- bpmnVisualizationR::create_overlay_style(
font_color = 'WhiteSmoke',
font_size = 19,
fill_color = 'Teal',
stroke_color = 'SpringGreen'
)
overlay <- bpmnVisualizationR::create_overlay("bpmn_element_id_1", "42", style, "middle-right")
ℹ️ To see more information about the value of position in bpmn-visualization-js library, please visit https://process-analytics.github.io/bpmn-visualization-js/api/types/OverlayPosition.html.
bpmnVisualizationR::display(bpmn_file, overlays, enableDefaultOverlayStyle=FALSE)
bpmnElementStyles <- list(
bpmnVisualizationR::create_shape_style(
elementIds = list("call_activity_1_1"),
stroke_color = 'RoyalBlue',
font_color = 'DarkOrange',
font_family = 'Arial',
font_size = 12,
font_bold = TRUE,
font_italic = TRUE,
font_strike_through = TRUE,
font_underline = TRUE,
opacity = 75,
fill_color = 'Yellow',
fill_opacity = 50
),
bpmnVisualizationR::create_edge_style(
elementIds = list("start_event_1_1"),
stroke_color = 'DeepPink',
stroke_width = 3,
stroke_opacity = 70,
font_color = 'ForestGreen',
font_family = 'Courier New',
font_size = 14,
font_bold = TRUE,
font_italic = TRUE,
font_strike_through = FALSE,
font_underline = FALSE,
font_opacity = 80,
opacity = 80
)
)
bpmnVisualizationR::display(
bpmn_file,
bpmnElementStyles = bpmnElementStyles,
width='auto',
height='auto'
)
ℹ️ It is possible to apply styles to both BPMN edges and shapes simultaneously by adding them to the shared bpmnElementStyles list.
bpmnElementStyles <- list(
bpmnVisualizationR::create_shape_style(
elementIds = list("message_flow_1_1"),
stroke_color = 'RoyalBlue',
font_color = 'DarkOrange',
font_family = 'Arial',
font_size = 12,
font_bold = TRUE,
font_italic = TRUE,
font_strike_through = TRUE,
font_underline = TRUE,
opacity = 75,
fill_color = 'Yellow',
fill_opacity = 50
),
bpmnVisualizationR::create_edge_style(
elementIds = list("sequence_flow_1_4"),
stroke_color = 'DeepPink',
stroke_width = 3,
stroke_opacity = 70,
font_color = 'ForestGreen',
font_family = 'Courier New',
font_size = 14,
font_bold = TRUE,
font_italic = TRUE,
font_strike_through = FALSE,
font_underline = FALSE,
font_opacity = 80,
opacity = 80
)
)
bpmnVisualizationR::display(
bpmn_file,
bpmnElementStyles = bpmnElementStyles,
width='auto',
height='auto'
)
ℹ️ It is possible to apply styles to both BPMN edges and shapes simultaneously by adding them to the shared bpmnElementStyles list.
The following displays a BPMN diagram provided as an example by the package with an overlay on top of a BPMN element.
# Install and load the shiny package
install.packages("shiny")
library(shiny)
displayBpmn <- function() {
bpmn_file <- system.file("examples/Travel_Booking.bpmn", package = "bpmnVisualizationR")
style <- bpmnVisualizationR::create_overlay_style(
font_color = 'Black',
font_size = 25,
fill_color = 'MediumSpringGreen',
stroke_color = 'MediumSpringGreen'
)
overlays <- list(bpmnVisualizationR::create_overlay("_6-203", "9", style, "bottom-right"))
bpmnVisualizationR::display(bpmn_file, overlays)
}
ui <- shinyUI(fluidPage(
titlePanel("Display bpmn diagrams with execution data"),
bpmnVisualizationR::bpmnVisualizationROutput('bpmnContainer')
)
)
server = function(input, output) {
# renderBpmnVisualization is the R bridge function to the html widgets
output$bpmnContainer <- bpmnVisualizationR::renderBpmnVisualizationR({ displayBpmn() })
}
shinyApp(ui, server)
To contribute to bpmnVisualizationR, fork and clone this repository locally and commit your code on a separate branch.
Please write tests for your code before opening a pull-request.
You can find more detail in our Contributing guide. Participation in this open source project is subject to a Code of Conduct.
✨ A BIG thanks to all our contributors 🙂
bpmnVisualizationR is released under the Apache 2.0 license.
Copyright © from 2021, Bonitasoft S.A.
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