sentryR
is an unofficial R SDK for Sentry. It includes an error handler for Plumber for uncaught exceptions.
You can install the current development version of sentryR
with:
configure_sentry
and capture
are the two core functions of sentryR
. The first sets up an isolated environment with your Sentry project’s DSN, optionally your app’s name, version and the environment it’s running in. Both configure_sentry
and any of the capture_
functions accept additional fields to pass on to Sentry as named lists. NULL
ifying a field will remove it.
library(sentryR)
configure_sentry(dsn = Sys.getenv("SENTRY_DSN"),
app_name = "myapp", app_version = "8.8.8",
environment = Sys.getenv("APP_ENV"),
tags = list(foo = "tag1", bar = "tag2"),
runtime = NULL)
capture(message = "my message", level = "info")
You are encouraged to use the two wrappers around capture
included: capture_exception
, which handles the error object and then reports the error to Sentry, and capture_message
for transmitting messages. Refer to the Sentry docs for a full list of available fields.
By default sentryR
will send the following fields to Sentry:
list(
logger = "R",
platform = "R", # Sentry will ignore this for now
sdk = list(
name = "SentryR",
version = ...
),
contexts = list(
os = list(
name = ...,
version = ...,
kernel_version = ...
),
runtime = list(
version = ...,
type = "runtime",
name = "R",
build = ...
)
),
timestamp = ...,
event_id = ...
)
capture_exception
further adds the exception
field to the payload.
In a Plumber API, besides the initial configuration for Sentry, you’ll also have to set the error handler.
sentryR
ships with the default plumber
error handler wrapped in the convenience function sentry_error_handler
, but you can use your own function and wrap it as below:
library(plumber)
library(sentryR)
# add list of installed packages and their versions.
# this can be slow in systems with a high number of packages installed,
# so it is not the default behavior
installed_pkgs_df <- as.data.frame(utils::installed.packages(),
stringsAsFactors = FALSE
)
versions <- installed_pkgs_df$Version
names(versions) <- installed_pkgs_df$Package
packages <- as.list(versions)
configure_sentry(dsn = Sys.getenv('SENTRY_DSN'),
app_name = "myapp", app_version = "1.0.0",
modules = packages)
my_sentry_error_handler <- wrap_error_handler_with_sentry(my_error_handler)
r <- plumb("R/api.R")
r$setErrorHandler(my_sentry_error_handler)
r$run(host = "0.0.0.0", port = 8000)
and wrap your endpoint functions with with_captured_calls
once this is done, Plumber will handle any errors, send them to Sentry using capture_exception
, and respond with status 500
and the error message. You don’t need to do any further configuration.
sentryR
took inspiration from raven-clj a Clojure interface to Sentry.
PRs and issues are welcome! :tada: