knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) knitr::opts_knit$set(root.dir = tempdir())
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.
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") list.files("logs")
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")
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")
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 readLines("logs/logfile.txt")
unlink("logs", recursive = TRUE)
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