knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(tfrmt) library(dplyr)
Aside from R code, tfrmt
objects can be represented as machine-readable metadata in JSON
format. This enables users to save formatting metadata to a database, or alternatively import templates stored as JSON
files. There are several utilities available for seamless translation between tfrmt
and JSON
.
A tfrmt
object can be converted to JSON
using the tfrmt_to_json
function. Suppose we have a basic tfrmt
:
template_tfrmt <- tfrmt( group = grp, label = label, column = column, param = param, value=value, body_plan = body_plan( frmt_structure(group_val = ".default", label_val = ".default", frmt("xx.x"))) ) template_tfrmt %>% print_mock_gt()
We can pass this through tfrmt_to_json
to convert to JSON
metadata.
template_tfrmt %>% tfrmt_to_json()
This JSON
can optionally be saved to a file by providing a file path as the second argument to the function:
tfrmt( group = grp, label = label, column = column, param = param, value=value, body_plan = body_plan( frmt_structure(group_val = ".default", label_val = ".default", frmt("xx.x"))) ) %>% tfrmt_to_json(path = "template.JSON")
If a JSON
file already exists, users can import this into R.
template_json <- tfrmt( group = grp, label = label, column = column, param = param, value=value, title= 'mytitle', body_plan = body_plan( frmt_structure(group_val = ".default", label_val = ".default", frmt("xx.x"))) )
template_json <- json_to_tfrmt(path = "template.JSON")
Once available in the R session, users can optionally build on this template as needed.
template_json %>% layer_tfrmt( tfrmt(title = "Custom title") ) %>% print_mock_gt()
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