--- title: "The Anatomy of a Log Request" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{The Anatomy of a Log Request} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} resource_files: - logger_structure.svg --- ```{r setup, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) library(logger) log_appender(appender_stdout) ``` ```{r loggerStructureImage, echo=FALSE, out.extra='style="width: 100%;" title="The structure of a logger and the flow of a log record request" alt="The structure of a logger and the flow of a log record request"'} knitr::include_graphics("logger_structure.svg") ``` To make a successful log record, `logger` requires the below components: - a **log request**, eg ```r log_error('Oops') ``` - including the log level (importance) of the record, which will be later used to decide if the log record is to be delivered or not: `ERROR` in this case - R objects to be logged: a simple string in this case, although it could be a character vector or any R object(s) that can be converted into a character vector by the `formatter` function - the **environment** and meta-information of the log request, eg actual timestamp, hostname of the computer, the name of the user running the R script, the pid of the R process, calling function and the actual call etc. ```{r} f <- function() get_logger_meta_variables(log_level = INFO) f() ``` - a **logger definition** to process the log request, including - log level `threshold`, eg `INFO`, which defines the minimum log level required for actual logging -- all log requests with lower log level will be thrown away ```{r} log_threshold() ERROR <= INFO log_error("Oops") ``` - `formatter` function, which takes R objects and converts those into actual log message(s) to be then passed to the `layout` function for the log record rendering -- such as `paste`, `sprintf`, `glue` or eg the below custom example: ```{r} formatter <- function(...) paste(..., collapse = " ", sep = " ") formatter(1:3, c("foo", "bar")) ``` - `layout` function, which takes log message(s) and further information on the log request (such as timestamp, hostname, username, calling function etc) to render the actual log records eg human-readable text, JSON etc ```r library(jsonlite) layout <- function(level, msg) toJSON(level = level, timestamp = time, hostname = node, message = msg) layout(INFO, 'Happy Thursday!') #> {'level': 'INFO', 'timestamp': '1970-01-01 00:00:00', 'hostname': 'foobar', 'message': 'Happy Thursday!'} ``` - `appender` function, which takes fully-rendered log record(s) and delivers to somewhere, eg `stdout`, a file or a streaming service, eg ```{r} appender <- function(line) cat(line, "\n") appender("INFO [now] I am a log message") ``` Putting all these together (by explicitly setting the default config in the `global` namespace): ```{r} log_threshold(INFO) log_formatter(formatter_glue) log_layout(layout_simple) log_appender(appender_stdout) log_debug("I am a low level log message that will not be printed with a high log level threshold") log_warn("I am a higher level log message that is very likely to be printed") ``` Note, that all `logger` definitions and requests are tied to a logging namespace, and one log request might trigger multiple `logger` definitions as well (stacking). Find more information on these in the [Customizing the format and destination of log records](https://daroczig.github.io/logger/articles/customize_logger.html) vignette. ```{r cleanup, include = FALSE} logger:::namespaces_reset() ```