Extracts selected fields from bbi_config.json, which is created by bbi
in the model output folder to store metadata about the execution of a model
run.
config_log(.base_dir, .recurse = FALSE, .include = NULL)
add_config(.log_df)Base directory to look in for models.
If FALSE, the default, only include models in .base_dir
but not subdirectories. This is passed through to fs::dir_ls() –
If TRUE recurse fully, if a positive number the number of levels to recurse.
A character vector specifying which runs or model tags to include in the run log.
A bbi_run_log_df tibble (the output of run_log()).
An object of class bbi_config_log_df, which includes the fields described below.
If no bbi_config.json files are found, the returned tibble will only contain the
absolute_model_path and run columns, and will have 0 rows.
config_log() creates a new tibble with one row per bbi_config.json
found in .base_dir (and subdirectories, if .recurse = TRUE).
add_config() adds these fields to the tibble passed to .log_df.
The following fields from are extracted from bbi_config.json.
absolute_model_path: the path to the model file, excluding the file
extension
model_md5: the MD5 sum of the model file
data_path: the path to the data file, relative to the model's output directory
(which can be extracted via get_output_dir())
data_md5: the MD5 sum of the data file
bbi_version: the version of bbi last used to run the model
nm_version: the version of NONMEM last used to run the model
model_has_changed: a logical indicating whether the model file has
changed since it was last run
data_has_changed: a logical indicating whether the data file has
changed since the model was last run