collapse = TRUE,
  comment = "#>"
knitr::opts_knit$set(root.dir = tempdir())

Logging with 'log4r'

Logging is an excellent way to monitor the status of your data pipelines. Please consult the 'log4r' documentation for a comprehensive guide to its features.

Logging File Operations

In order to quickly get up and running with 'log4r', there are a few steps to take first. A directory and a logfile are required.

log_file_ops(dir_path = "logs", logfile_nm = "logfile")


This will only need to be executed once. Running this line again will throw an error.

log_file_ops(dir_path = "logs", logfile_nm = "logfile")

Logger Objects

Next we need to create the required objects within R to be able to write to the logfile we created. Namely, a file appender and logger objects are needed. This needs to be executed every time you run your programme, so include it within your script.

log_enable(logfile_loc = "logs/logfile.txt")

Start Logging

We can now use the logging functions in 'log4r' to begin writing messages to the logfile.

log4r::info(logger = my_logger, message = "Some info")
log4r::warn(logger = my_logger, message = "Some warning")
log4r::error(logger = my_logger, message = "Some error")

# Check the messages are being logged
unlink("logs", recursive = TRUE)

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ptspotter documentation built on May 3, 2021, 9:07 a.m.