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# # Approach
# Use flags on the reactive object to indicate whether to record OpenTelemetry spans.
#
# Cadence:
# * `$.isRecordingOtel` - Whether to record OpenTelemetry spans for this reactive object
# * `$.otelLabel` - The label to use for the OpenTelemetry span
# * `$.otelAttrs` - Additional attributes to add to the OpenTelemetry span
#' Add OpenTelemetry for reactivity to an object
#'
#' @description
#'
#' `enable_otel_*()` methods add OpenTelemetry flags for [reactive()] expressions
#' and `render*` functions (like [renderText()], [renderTable()], ...).
#'
#' Wrapper to creating an active reactive OpenTelemetry span that closes when
#' the reactive expression is done computing. Typically this is when the
#' reactive expression finishes (synchronous) or when the returned promise is
#' done computing (asynchronous).
#' @section Async with OpenTelemetry:
#'
#' With a reactive expression, the key and/or value expression can be
#' _asynchronous_. In other words, they can be promises --- not regular R
#' promises, but rather objects provided by the
#' \href{https://rstudio.github.io/promises/}{\pkg{promises}} package, which
#' are similar to promises in JavaScript. (See [promises::promise()] for more
#' information.) You can also use [mirai::mirai()] or [future::future()]
#' objects to run code in a separate process or even on a remote machine.
#'
#' When reactive expressions are being calculated in parallel (by having
#' another reactive promise compute in the main process), the currently active
#' OpenTelemetry span will be dynamically swapped out according to the
#' currently active reactive expression. This means that as long as a promise
#' was `then()`ed or `catch()`ed with an active OpenTelemetry span, the span
#' will be correctly propagated to the next step (and subsequently other
#' steps) in the promise chain.
#'
#' While the common case is for a reactive expression to be created
#' synchronously, troubles arise when the reactive expression is created
#' asynchronously. The span **must** be created before the reactive expression
#' is executed, it **must** be active for the duration of the expression, and
#' it **must** not be closed until the reactive expression is done executing.
#' This is not easily achieved with a single function call, so we provide a
#' way to create a reactive expression that is bound to an OpenTelemetry
#' span.
#'
#' @section Span management and performance:
#'
#' Dev note - Barret 2025-10:
#' Typically, an OpenTelemetry span (`otel_span`) will inherit from the parent
#' span. This works well and we can think of the hierarchy as a tree. With
#' `options("shiny.otel.collect" = <value>)`, we are able to control with a sliding
#' dial how much of the tree we are interested in: "none", "session",
#' "reactive_update", "reactivity", and finally "all".
#'
#' Leveraging this hierarchy, we can avoid creating spans that are not needed.
#' The act of making a noop span takes on the order of 10microsec. Handling of
#' the opspan is also in the 10s of microsecond range. We should avoid this when
#' we **know** that we're not interested in the span. Therefore, manually
#' handling spans should be considered for Shiny.
#'
#' * Q:
#' * But what about app author who want the current span? Is there any
#' guarantee that the current span is expected `reactive()` span?
#' * A:
#' * No. The current span is whatever the current span is. If the app author
#' wants a specific span, they should create it themselves.
#' * Proof:
#' ```r
#' noop <- otel::get_active_span()
#' noop$get_context()$get_span_id()
#' #> [1] "0000000000000000"
#' ignore <- otelsdk::with_otel_record({
#' a <- otel::start_local_active_span("a")
#' a$get_context()$get_span_id() |> str()
#' otel::with_active_span(noop, {
#' otel::get_active_span()$get_context()$get_span_id() |> str()
#' })
#' })
#' #> chr "2645e95715841e75"
#' #> chr "2645e95715841e75"
#' # ## It is reasonable to expect the second id to be `0000000000000000`, but it's not.
#' ```
#' Therefore, the app author has no guarantee that the current span is the
#' span they're expecting. If the app author wants a specific span, they should
#' create it themselves and let natural inheritance take over.
#'
#' Given this, I will imagine that app authors will set
#' `options("shiny.otel.collect" = "reactive_update")` as their default behavior.
#' Enough to know things are happening, but not overwhelming from **everything**
#' that is reactive.
#'
#' To _light up_ a specific area, users can call `withr::with_options(list("shiny.otel.collect" = "all"), { ... })`.
#'
#' @param x The object to add caching to.
#' @param ... Future parameter expansion.
#' @noRd
NULL
enable_otel_reactive_val <- function(x) {
impl <- attr(x, ".impl", exact = TRUE)
# Set flag for otel logging when setting the value
impl$.isRecordingOtel <- TRUE
class(x) <- c("reactiveVal.otel", class(x))
x
}
enable_otel_reactive_values <- function(x) {
impl <- .subset2(x, "impl")
# Set flag for otel logging when setting values
impl$.isRecordingOtel <- TRUE
class(x) <- c("reactivevalues.otel", class(x))
x
}
enable_otel_reactive_expr <- function(x) {
domain <- reactive_get_domain(x)
impl <- attr(x, "observable", exact = TRUE)
impl$.isRecordingOtel <- TRUE
# Covers both reactive and reactive.event
impl$.otelLabel <- otel_span_label_reactive(x, domain = impl$.domain)
class(x) <- c("reactiveExpr.otel", class(x))
x
}
enable_otel_observe <- function(x) {
x$.isRecordingOtel <- TRUE
x$.otelLabel <- otel_span_label_observer(x, domain = x$.domain)
class(x) <- c("Observer.otel", class(x))
invisible(x)
}
enable_otel_shiny_render_function <- function(x) {
valueFunc <- force(x)
otel_span_label <- NULL
otel_span_attrs <- NULL
renderFunc <- function(...) {
# Dynamically determine the span label given the current reactive domain
if (is.null(otel_span_label)) {
domain <- getDefaultReactiveDomain()
otel_span_label <<-
otel_span_label_render_function(x, domain = domain)
otel_span_attrs <<- c(
attr(x, "otelAttrs"),
otel_session_id_attrs(domain)
)
}
with_otel_span(
otel_span_label,
{
hybrid_then(
valueFunc(...),
on_failure = set_otel_exception_status_and_throw,
# Must save the error object
tee = FALSE
)
},
attributes = otel_span_attrs
)
}
renderFunc <- addAttributes(renderFunc, renderFunctionAttributes(valueFunc))
class(renderFunc) <- c("shiny.render.function.otel", class(valueFunc))
renderFunc
}
# ## If we ever expose a S3 function, I'd like to add this method.
# bindOtel.function <- function(x, ...) {
# cli::cli_abort(paste0(
# "Don't know how to add OpenTelemetry recording to a plain function. ",
# "If this is a {.code render*()} function for Shiny, it may need to be updated. ",
# "Please see {.help shiny::bindOtel} for more information."
# ))
# }
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