Read and display the log of a chronicle
read_log.Rd
read_log()
provides different human-readable views of the log information
stored in a chronicle
object. It can show a pretty, narrative-style summary,
a tabular summary suitable for inspection or debugging, or a compact
error-focused report.
Usage
read_log(.c, style = c("pretty", "table", "errors-only"))
Arguments
- .c
A chronicle object.
- style
A string indicating the display style. One of:
"pretty"
: a short, human-friendly log with OK/NOK status, function names, timestamps, and runtimes."table"
: a tabular summary of the log as a data frame, including function names, status, runtime, and messages."errors-only"
: a minimal report. If all steps succeed, only a single success message is shown. If any step fails, only the failures are listed.
Value
If
style = "pretty"
: a character vector of sentences.If
style = "table"
: a data frame summarising the log (with an attribute"total_runtime_secs"
storing the total runtime in seconds).If
style = "errors-only"
: a character string if all succeeded, or a character vector listing only the failed steps.
Examples
r_select <- record(dplyr::select)
r_group_by <- record(dplyr::group_by)
r_summarise <- record(dplyr::summarise)
output <- dplyr::starwars |>
r_select(height, mass, species, sex) |>
bind_record(r_group_by, species, sex) |>
bind_record(r_summarise, mass = mean(mass, na.rm = TRUE))
read_log(output, style = "pretty")
#> [1] "OK `dplyr::select` at 08:59:34 (0.001s)"
#> [2] "OK `dplyr::group_by` at 08:59:34 (0.003s)"
#> [3] "OK `dplyr::summarise` at 08:59:34 (0.003s)"
#> [4] "Total: 0.007 secs"
read_log(output, style = "table")
#> step func status runtime message
#> 1 1 dplyr::select OK 0.001 NA
#> 2 2 dplyr::group_by OK 0.003 NA
#> 3 3 dplyr::summarise OK 0.003 NA
read_log(output, style = "errors-only")
#> [1] "Pipeline ran 3 steps successfully in 0.007 secs"