JGQO-323-Added predefined user inputs to transformator

[Pranith1785]

Rewritten the entire transformator to handle the pre-defined user inputs and created a R6 class to handle the add, remove and Applying the changes to dataframe

Example code

app <- teal::init(
  data = teal.data::teal_data(IRIS = iris, code = "IRIS <- iris"),
  modules = teal::modules(
    teal::example_module(
      transformators = list(merge_levels_transformator(
        dataname = "IRIS",
        predefined = list(
          list("Species", "setosa", "SETOSA_WITHIN_FIX"),
          list("Petal.Width", c(0.2, 0.3, 0.5), 12)
        )
      ))
    )
  )
)
if (interactive()) {
  shiny::shinyApp(app$ui, app$server)
}

[github-actions]

Code Coverage Summary

Filename                                     Stmts    Miss  Cover    Missing
-----------------------------------------  -------  ------  -------  ---------
R/BlockConditions.R                             14      14  0.00%    23-54
R/create_rel_risk_transformator.R               43      43  0.00%    35-83
R/forest_plot_decorator.R                      164     164  0.00%    97-368
R/ggplot_decorator.R                           244     244  0.00%    81-352
R/merge_levels_transformator.R                 140     140  0.00%    10-227
R/or_filtering_transformator_view_model.R       27      27  0.00%    26-64
R/or_filtering_transformator.R                 254     254  0.00%    64-364
R/patchwork_plot_decorator.R                    46      46  0.00%    16-66
R/r_access_utilities.R                          45      45  0.00%    25-142
R/title_footer_decorator.R                     130     130  0.00%    98-236
TOTAL                                         1107    1107  0.00%

Diff against main

Filename                          Stmts    Miss  Cover
------------------------------  -------  ------  --------
R/merge_levels_transformator.R      -98     -98  +100.00%
TOTAL                               -98     -98  +100.00%

Results for commit: 8d7cf9f

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

[aqlina]

Predefined parameters are taken into account and seems to work fine