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SSEparser

Lifecycle: experimental CRAN status R-CMD-check Codecov test coverage CRAN RStudio mirror downloads

The goal of SSEparser is to provide robust functionality to parse Server-Sent Events and to build on top of it.

Installation

You can install SEEparser from CRAN like so:

install.packages("SSEparser")

Alternatively, you can install the development version like so:

pak::pak("calderonsamuel/SSEparser")

Example

The parse_sse() function takes a string containing a server-sent event and converts it to a R list.

library(SSEparser)

event <- "data: test\nevent: message\nid: 123\n\n"

parse_sse(event)
#> [[1]]
#> [[1]]$data
#> [1] "test"
#> 
#> [[1]]$event
#> [1] "message"
#> 
#> [[1]]$id
#> [1] "123"

Comments are usually received in a line starting with a colon. They are not parsed.

with_comment <- "data: test\n: comment\nevent: example\n\n"

parse_sse(with_comment)
#> [[1]]
#> [[1]]$data
#> [1] "test"
#> 
#> [[1]]$event
#> [1] "example"

Use in HTTP requests

parse_sse() wraps the SSEparser R6 class, which is also exported to be used with real-time streaming data. The following code handles a request with MIME type “text/event-stream”.

parser <- SSEparser$new()
response <- httr2::request("https://postman-echo.com/server-events/3") %>%
    httr2::req_body_json(data = list(
        event = "message",
        request = "POST"
    )) %>%
    httr2::req_perform_stream(callback = \(x) {
        event <- rawToChar(x)
        parser$parse_sse(event)
        TRUE
    })

str(parser$events)
#> List of 3
#>  $ :List of 3
#>   ..$ event: chr "error"
#>   ..$ data : chr "{\"event\":\"message\",\"request\":\"POST\"}"
#>   ..$ id   : chr "1"
#>  $ :List of 3
#>   ..$ event: chr "notification"
#>   ..$ data : chr "{\"event\":\"message\",\"request\":\"POST\"}"
#>   ..$ id   : chr "2"
#>  $ :List of 3
#>   ..$ event: chr "message"
#>   ..$ data : chr "{\"event\":\"message\",\"request\":\"POST\"}"
#>   ..$ id   : chr "3"

Extending SSEparser

Following the previous example, it should be useful to parse the content of every data field to be also an R list instead of a JSON string. For that, we can create a new R6 class which inherits from SSEparser. We just need to overwrite the append_parsed_sse() method.

CustomParser <- R6::R6Class(
    classname = "CustomParser",
    inherit = SSEparser,
    public = list(
        initialize = function() {
            super$initialize()
        },
        append_parsed_sse = function(parsed_event) {
            parsed_event$data <- jsonlite::fromJSON(parsed_event$data)
            self$events = c(self$events, list(parsed_event))
            invisible(self)
        }
    )
)

Notice that the only thing we are modifying is the parsing of the data field, not the parsing of the event itself. This is the original method from SSEparser:

SSEparser$public_methods$append_parsed_sse
#> function (parsed_event) 
#> {
#>     self$events <- c(self$events, list(parsed_event))
#>     invisible(self)
#> }
#> <bytecode: 0x00000147d67ed9b8>
#> <environment: namespace:SSEparser>

CustomParser uses jsonlite::fromJSON() to parse the data field of every chunk in the event stream. We can now use our custom class with the previous request1.

parser <- CustomParser$new()
response <- httr2::request("https://postman-echo.com/server-events/3") %>%
    httr2::req_body_json(data = list(
        event = "message",
        request = "POST"
    )) %>%
    httr2::req_perform_stream(callback = \(x) {
        event <- rawToChar(x)
        parser$parse_sse(event)
        TRUE
    })

str(parser$events)
#> List of 3
#>  $ :List of 3
#>   ..$ event: chr "ping"
#>   ..$ data :List of 2
#>   .. ..$ event  : chr "message"
#>   .. ..$ request: chr "POST"
#>   ..$ id   : chr "1"
#>  $ :List of 3
#>   ..$ event: chr "message"
#>   ..$ data :List of 2
#>   .. ..$ event  : chr "message"
#>   .. ..$ request: chr "POST"
#>   ..$ id   : chr "2"
#>  $ :List of 3
#>   ..$ event: chr "info"
#>   ..$ data :List of 2
#>   .. ..$ event  : chr "message"
#>   .. ..$ request: chr "POST"
#>   ..$ id   : chr "3"

Now instead of a JSON string we can have an R list in the data field while the stream is still in process.

Footnotes

  1. This endpoint returns random event field names for each chunk in every request, so the response will not be exactly the same.