#' @include checkers.R utils.R
#'
#' Phenology Measurements Class
#'
#' @description Class to represent phenology measurements data from AgroFIMS. It inherents from AgAPI client class
#' all the basic parameters and methods.
#'
#' @title AgPhenoMea
#'
#' @docType class
#'
#' @format R6 class
#'
#' @field user specifies the user name, defaults to NULL
#' @field password specifies the password, defaults to NULL
#' @field user specifies the user name, defaults to NULL
#' @field password specifies the password, defaults to NULL
#' @field authentication specifies the password, defaults to NULL
#' @field token specifies the password, defaults to NULL
#' @field user_agent specifies the password, defaults to NULL
#' @field serverURL specifies the password, defaults to
#' http://research.cip.cgiar.org/agrofims/api/dev/
#' @field version specifies the version, defaults to 0051
#' @field endPoint specifies the end point value, tableName/method.php
#' @importFrom R6 R6Class
#'
#' @export
#'
AgPhenoMea <- R6::R6Class(
classname = "AgPhenoMea",
inherit = AgAPIClient,
# private = list(
# super$endPoint = "/exp-site/getAll?id="
# ),
public = list(
initialize = function(user=NULL, password=NULL, authentication=NULL, token=NULL, user_agent=NULL,
serverURL, version ){ #, endPoint) {
super$initialize(user, password, authentication, token, user_agent, serverURL, version)#, endPoint)
},
#ag_get_phenomea_studyId = function(studyDbId, format, ...){},
ag_get_phenomea_sitecropId = function(siteCropDbId, format, ...){} ,
ag_get_phenomea_expsiteId = function(expsiteDbId, format, ...){}
)
)
#############################################
#' @title Get all phenology measurements based on the experiment site ID
#' @description retrieve phenology measurements data from AGROFIMS database. AGROFIMS use the AgAPI standard in order to get and post data.
#' @field ... argument inherents by AgaAPIClient
#' @field siteCropDbId character siteCropId its the id of the phenology evaluated in one site and experiment
#' @field format support in three data structures: json, list and data.frames
#' @importFrom R6 R6Class
#' @importFrom httr content
#' @importFrom jsonlite fromJSON
#' @importFrom tibble rownames_to_column
#' @author Omar Benites
#' @export
#'
AgPhenoMea$set(which = "public", name = "ag_get_phenomea_sitecropId",
function( siteCropDbId =NULL,
format=c("json","list","data.frame"),
... ){
super$endPoint <- "/crop-phenology/getAll?id="
url <- paste0(self$serverURL, self$version, super$endPoint) #everything before the URL
print(url)
#GET parameters for retrieving data ----------------------------
#headerParams <- character()
queryParams <- list(id = siteCropDbId)
#Iterate over exp_site_id to extract experiment descript from each site in the study
res <- self$call_api(
url = url,
method = "GET",
queryParams = queryParams, #, #TODO
#headerParams = headerParams, #TODO
#body = body,
...
)
cont <- httr::content(res, as = "text", encoding = "UTF-8")
#Object structure
if(format=="json"){
out <- cont
} else if(format=="list"){
out <- jsonlite::fromJSON(cont,simplifyVector = "vector")
} else if(format=="data.frame") {
out <- ragapi::as_data_frame_agapi(cont)
}
return(out)
},
overwrite = TRUE)
##TODO: agregar un metodo para sacar los measurementes de un sitio-fieldbook
#############################################
#' @title Get all phenology measurements based on the agronomic experiment site database ID
#' @description retrieve phenology measurements data from AGROFIMS database with AgAPI standard
#' @field ... argument inherents by AgaAPIClient
#' @field expsiteDbId character agronomical study id
#' @field format support in three data structures: json, list and data.frames
#' @importFrom R6 R6Class
#' @importFrom httr content
#' @importFrom jsonlite fromJSON
#' @importFrom tibble rownames_to_column
#' @author Omar Benites
#' @export
#'
AgPhenoMea$set(which = "public", name = "ag_get_phenomea_expsiteId",
function(expsiteDbId =NULL,
format=c("json","list","data.frame"),
... ){
super$endPoint <- "/crop-phenology/getAll?id="
url <- paste0(self$serverURL, self$version, super$endPoint) #everything before the URL
headerParams <- character()
queryParams <- list(id = expsiteDbId) #everythig after the ? in the URL
res <- self$call_api(
url = url,
method = "GET",
queryParams = queryParams, #, #TODO
#headerParams = headerParams, #TODO
#body = body,
...
)
cont <- httr::content(res, as = "text", encoding = "UTF-8")
if(format=="json"){
out <- cont
} else if(format=="list"){
out <- jsonlite::prettify(txt = cont) #jsonlite::fromJSON(cont)
} else if(format=="data.frame") {
out <- as_data_frame_agapi(cont)
#cont <- jsonlite::fromJSON(cont)
#out <- replace_null(cont,"") %>% as.data.frame(stringsAsFactors=FALSE) %>% tibble::rownames_to_column()
}
return(out)
# #Create objet AgExpSite -------------------------------------------
# obj_expsite <- AgExpSite$new(serverURL = self$serverURL ,
# version = self$version )
# print(obj_expsite)
# #Get experiment sites studies -------------------------------
# dt_expsite <- obj_expsite$ag_get_cropsite_expsiteId(expsiteDbId= expsiteDbId, format="data.frame")
# sitecrop_id <- dt_expsite$siteCropId
# print(sitecrop_id)
#
# super$endPoint <- "/crop-phenology/getAll?id="
# url <- paste0(self$serverURL, self$version, super$endPoint) #everything before the URL
# print(url)
#
# #GET parameters for retrieving data ----------------------------
# #headerParams <- character()
# queryParams <- vector(mode="list",length = 1)
#
# #Allocate response objects from GET method ----------------------
# res <- out <- vector(mode="list", length = length(sitecrop_id))
#
# #Iterate over exp_site_id to extract phenology information by site from each site in the study
# for(i in 1:length(sitecrop_id)){
# queryParams <- list(id = sitecrop_id[i])
# res[[i]] <- self$call_api(
# url = url,
# method = "GET",
# queryParams = queryParams, #, #TODO
# #headerParams = headerParams, #TODO
# #body = body,
# ...
# )
# cont <- httr::content(res[[i]], as = "text", encoding = "UTF-8")
# #Object structure
# if(format=="json"){
# out[[i]] <- cont
# } else if(format=="list"){
# out[[i]] <- jsonlite::fromJSON(cont,simplifyVector = "vector")
# } else if(format=="data.frame") {
# out[[i]] <- as_data_frame_agapi(cont)
# }
# }
# return(out)
},
overwrite = TRUE)
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