#' @title
#' get /observationunits/table
#'
#' @description
#' Get a list of Observations in a table format
#'
#' @param con list; required: TRUE; BrAPI connection object
#' @param Accept character; required: TRUE; The requested content type which
#' should be returned by the server; default: "application/json",
#' other possible values:
#'
#' * "text/csv"
#' * "text/tsv"
#'
#' @param observationUnitDbId character; required: FALSE; Unique observation
#' unit database identifier to filter on.
#' @param germplasmDbId character; required: FALSE; Unique germplasm (accession)
#' identifier to filter on.
#' @param observationVariableDbId character; required: FALSE; Unique observation
#' variable identifier to filter on.
#' @param studyDbId character; required: FALSE; Unique study database identifier
#' to filter on.
#' @param locationDbId character; required: FALSE; Unique location identifier,
#' where the observations were collected.
#' @param trialDbId character; required: FALSE; Unique trial identifier to
#' filter on
#' @param programDbId character; required: FALSE; Unique program database
#' identifier to filter on.
#' @param seasonDbId character; required: TRUE; The unique database identifier
#' for a season, e.g. the year or Phenotyping campaign of a multi-annual
#' study (trees, grape, ...). For backward compatibility it can be a string
#' like '2012', '1957-2004'.
#' @param observationLevel character; required: FALSE; The type of the
#' observationUnit. Returns only the observation unit of the specified type;
#' the parent levels ID can be accessed through `observationUnitStructure`.
#'
#' @details This service is designed to retrieve a table for observation values
#' as a matrix of Observation Units and Observation Variables.
#'
#' @return data.frame
#'
#' @author Maikel Verouden
#'
#' @references \href{https://app.swaggerhub.com/apis/PlantBreedingAPI/BrAPI-Phenotyping/2.0#/Observation%20Units/get_observationunits_table}{BrAPI SwaggerHub}
#'
#' @family brapi-phenotyping
#' @family Observation Units
#'
#' @examples
#' \dontrun{
#' con <- brapi_db()$testserver
#' brapi_get_observationunits_table(con = con,
#' Accept = "application/json")
#' }
#'
#' @export
brapi_get_observationunits_table <- function(con = NULL,
Accept = 'application/json',
observationUnitDbId = '',
germplasmDbId = '',
observationVariableDbId = '',
studyDbId = '',
locationDbId = '',
trialDbId = '',
programDbId = '',
seasonDbId = '',
observationLevel = '') {
## Create a list of used arguments
usedArgs <- brapirv2:::brapi_usedArgs(origValues = FALSE)
## Check if BrAPI server can be reached given the connection details
brapi_checkCon(con = usedArgs[["con"]], verbose = FALSE)
## Check validity of used and required arguments
brapirv2:::brapi_checkArgs(usedArgs, reqArgs = "Accept")
## Obtain the call url
callurl <- brapirv2:::brapi_GET_callURL(usedArgs = usedArgs,
callPath = "/observationunits/table",
reqArgs = "Accept",
packageName = "BrAPI-Phenotyping",
callVersion = 2.0)
try({
## Make the call and receive the response
resp <- brapirv2:::brapi_GET(url = callurl, usedArgs = usedArgs)
## Extract the content from the response object in human readable form
cont <- httr::content(x = resp, as = "text", encoding = "UTF-8")
## Convert the content object into a data.frame
out <- brapirv2:::brapi_result2df(cont, usedArgs)
})
## Set class of output
class(out) <- c(class(out), "brapi_get_observationunits_table")
## Show pagination information from metadata
brapirv2:::brapi_serverinfo_metadata(cont)
return(out)
}
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