Extract PBFs from httr2_response objects — resp_body

Processes httr2_response objects that return FeatureCollection PBFs.

Usage

resp_body_pbf(resp, post_process = TRUE, use_sf = TRUE)

resps_data_pbf(resps, post_process = TRUE, use_sf = TRUE)

Arguments

resp: A httr2 response object, created by req_perform().
post_process: default TRUE. Apply post_process_pbf() to the pbf body.
use_sf: default TRUE. Whether or not to return an sf object.
resps: a list of httr2_response objects such as created by httr2::req_perform_parallel()

Value

A processed FeatureCollection pbf. Either a scalar integer, named list, data.frame, or an sf object if post-processing is applied.

Details

Responses of type application/x-protobuf are automatically processed using process_pbf() with optional post-processing applied. Theses functions assume that the body of the responses are an Esri FeatureCollection protocol buffer.

Lists of responses

When running multiple requests in parallel using httr2::req_perform_parallel() the responses are returned as a list of responses. resps_data_pbf() processes the responses in a vectorized manner.

Results are post-processed by default and return sf objects if applicable. This may not be desirable if heterogeneous response types are expected. For example, if one list element contains a count result and another contains an object ID result.

See post_process_pbf() for more details.

Note: Knowledge Graph protocol buffers and other protobuf formats are not supported and will result in an error if used with these functions.

Examples


if (rlang::is_installed(c("httr2", "sf")) && interactive()) {
  base_url <- file.path(
    "https://services.arcgis.com/P3ePLMYs2RVChkJx",
    "arcgis", "rest", "services",
    "ACS_Population_by_Race_and_Hispanic_Origin_Boundaries",
    "FeatureServer", "2", "query",
    fsep = "/"
  )

  # create the base request
  req <- httr2::request(base_url)

  # fill query parameters
  req <- httr2::req_url_query(
    req,
    where = "1=1",
    outFeilds = "objectid",
    resultRecordCount = 1,
    f = "pbf"
  )

  # make the request
  resp <- httr2::req_perform(req)

  # parse the request
  resp_body_pbf(resp)

  # simulate response from multi_req_perform
  resps <- list(resp, resp, resp)

  # process them all at once
  resps_data_pbf(resps)
}