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funciones_app_anemometros.R
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library(tidyverse)
library(httr)
library(XML)
library(stringr)
library(openair)
library(chron)
library(lubridate)
library(rlist)
id_iden<- function(phoneid){
p<- "https://measurements.mobile-alerts.eu/Home/SensorsOverview?phoneid="
p1<- paste0(p,phoneid)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
posprueba<- length(p4)
nodeprueba<-as.character(p4[posprueba])
p4<-toString(p4)
ids<-str_extract_all(p4,"(?<=deviceid=)[[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]][[:alnum:]]")
xx<- length(ids[[1]])
rr<-matrix(-31, ncol = 3, nrow = xx)
for(i in 1:xx){
ff<- str_locate(ids[[1]][i], "B")
if(is.na(ff[1])){
ff[1]<-0
}else{
ff<-ff}
yy<- suppressWarnings(as.numeric(str_sub(ids[[1]][i], 2,2)))
if(is.na(yy)){yy<-0}else{yy<-yy}
if(ff[1]==2){
rr[i,1]<- paste0("anem",i)
rr[i,2]<- ids[[1]][i]
rr[i,3]<-1}else{
if(yy==8){
rr[i,1]<- paste0("pluv",i)
rr[i,2]<- ids[[1]][i]
rr[i,3]<-2
}else{
rr[i,1]<- paste0("term_hig",i)
rr[i,2]<- ids[[1]][i]
rr[i,3]<-3
}
}
}
rr<-as.data.frame(rr)
colnames(rr)<- c("Disp", "id","code")
return(rr)
}
data_M_A<-function(id){
link<- "https://measurements.mobile-alerts.eu/Home/MeasurementDetails?deviceid="
link1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
link2<- "&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
id<- id
p1<- paste0(link,id,link2)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
pos<- length(p4)
node_1<-as.character(p4[pos])
node_2<-as.character(p4[pos-1])
##número de páginas
if(is.na(str_extract(node_1,"(?<=page=)\\d\\d\\d"))){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d"))
if(is.na(p_1)){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d"))
}}else{
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d\\d"))
}
if(is.na(str_extract(node_2,"(?<=page=)\\d\\d\\d"))){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d"))
if(is.na(p_2)){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d"))
}}else{
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d\\d"))
}
if(is.na(p_2)){
p<-p_1
}else{
if(p_2>p_1) {
p<-p_2
}else{
p<-p_1
}
}
if(is.na(p)){
p<-1
}
#######Valores por página
vpp<-length(str_extract_all(t(xmlToDataFrame(getNodeSet(p3,
"//tbody"))),
boundary("word")))
### (1526901420)-21/5/2018 13:17:00
### inicio de recopilación de datos
xx<- str_locate(id, "B")
if(is.na(xx[1])){
xx[1]<-0
}else{
xx<-xx
}
if(xx[1]==2){
U_dt<- matrix(-31, ncol = 10, nrow = vpp*p)
k<-1
enla1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
for (j in 1:p) {
enlace<- paste0(enla1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
wind<-as.numeric(rr2[[i]][8])
gust<-as.numeric(rr2[[i]][11])
dir<-paste(rr2[[i]][14],rr2[[i]][15], sep = "-")
xx<- cbind(month, day, year, hora, min, sec, merid, wind, gust, dir)
U_dt[k,]<- xx
k<- k+1
}
}
colnames(U_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "Wd mean", "wd gust", "Dir")
U_dt<- as.data.frame(U_dt)
date_string<- matrix(-31, nrow = length(U_dt[,1]))
namesss<- matrix(-31, nrow = length(U_dt[,1]))
for (i in 1: length(U_dt[,1])) {
fecha1<- paste0( U_dt$Dia[i],'/',
U_dt$Mes[i],'/',
U_dt$anno[i])
fecha2<-paste0(U_dt$Hora[i], ':',
U_dt$Min[i],':',
U_dt$Sec[i], ' ', U_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
U_dt<- cbind(date_string, namesss, U_dt$`Wd mean`, U_dt$`wd gust`, U_dt$Dir)
colnames(U_dt)<- c("s/since_1/1/1970", "date_string_hour","Mean","Max","Dir_ch")
U_dt$Dir_ch<-str_remove(U_dt$Dir_ch, pattern = '-NA')
dir_degrees_U<-matrix(-31, nrow = length(U_dt$Dir))
for (i in 1:length(U_dt$Dir)) {
yy<-U_dt$Dir[i]
dir_degrees_U[i]<- ifelse(yy=="North", 0, ifelse(yy=="North-northeast",20,
ifelse(yy=="Northeast",45, ifelse(yy=="East-northeast",65,
ifelse(yy=="East", 90,
ifelse(yy=="East-southeast", 110,
ifelse(yy=="Southeast", 135,
ifelse(yy=="South-Southeast", 155,
ifelse(yy=="South", 180,
ifelse(yy=="South-southwest", 200,
ifelse(yy=="Southwest", 225,
ifelse(yy=="West-southwest", 245,
ifelse(yy=="West", 270,
ifelse(yy=="West-northwest",290,
ifelse(yy=="Northwest", 315,
ifelse(yy=="North-northwest", 335,
ifelse(yy=='-31',NA)))))))))))))))))
}
dir_degrees_U<- as.data.frame( dir_degrees_U)
U_dt<- cbind(U_dt, dir_degrees_U)
colnames(U_dt)<- c("s/since_1/1/1970", "date_string_hour","Mean","Max","Dir_ch","Dir_deg")
Dataset_XX<- list(U_dt)
return(Dataset_XX)
} else{
yy<- as.numeric(str_sub(id, 2,2))
if(yy==8){
pl_dt<- matrix(-31, ncol = 8, nrow = vpp*p)
k<-1
for (j in 1:p) {
enlace<- paste0(link1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
rain<-as.numeric(rr2[[i]][8])
xx<- cbind(month, day, year, hora, min, sec, merid, rain)
pl_dt[k,]<- xx
k<- k+1
}
}
colnames(pl_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "rain (mm)")
pl_dt<- as.data.frame(pl_dt)
date_string<- matrix(-31, nrow = length(pl_dt[,1]))
namesss<- matrix(-31, nrow = length(pl_dt[,1]))
for (i in 1: length(pl_dt[,1])) {
fecha1<- paste0( pl_dt$Dia[i],'/',
pl_dt$Mes[i],'/',
pl_dt$anno[i])
fecha2<-paste0(pl_dt$Hora[i], ':',
pl_dt$Min[i],':',
pl_dt$Sec[i], ' ', pl_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
pl_dt<- cbind(date_string, namesss, pl_dt$rain)
colnames(pl_dt)<- c("s/since_1/1/1970", "date_string_hour","rain (mm)")
Dataset_XX1<- pl_dt
return(Dataset_XX1)
}else{
#################termo-higrometro
th_lk<-"deviceid=032B8F08E708&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
th_dt<- matrix(-31, ncol = 9, nrow = vpp*p)
k<-1
for (j in 1:p) {
enlace<- paste0(link1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
temp<-as.numeric(rr2[[i]][8])
humd<-as.numeric(rr2[[i]][10])
xx<- cbind(month, day, year, hora, min, sec, merid, temp, humd)
th_dt[k,]<- xx
k<- k+1
}
}
colnames(th_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "temp (ºC)", "humeda(%)")
th_dt<- as.data.frame(th_dt)
date_string<- matrix(-31, nrow = length(th_dt[,1]))
namesss<- matrix(-31, nrow = length(th_dt[,1]))
for (i in 1: length(th_dt[,1])) {
fecha1<- paste0( th_dt$Dia[i],'/',
th_dt$Mes[i],'/',
th_dt$anno[i])
fecha2<-paste0(th_dt$Hora[i], ':',
th_dt$Min[i],':',
th_dt$Sec[i], ' ', th_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
th_dt<- cbind(date_string, namesss, th_dt$temp, th_dt$hum)
colnames(th_dt)<- c("s/since_1/1/1970", "date_string_hour","temp (ºC)","Humedad (%)")
Dataset_XX2<- th_dt
return(Dataset_XX2)
}
}
}### en principio esta funcion ya no la uso
clean_data<- function(dirtyframe, fechainicio){
#Establecer fecha de inicio
start_meas<-unclass(as.POSIXct(paste0(fechainicio," 00:00:00"),format="%d/%m/%Y %H:%M:%S"))
start_meas<- start_meas[1]
condit_U<- dirtyframe[,1]>start_meas
cl_data<-as.data.frame(dirtyframe[condit_U, ])
#Eliminar casos que contengan NA's
return(cl_data[complete.cases(cl_data), ])
}
anemos<-function(id){
link<- "https://measurements.mobile-alerts.eu/Home/MeasurementDetails?deviceid="
link1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
link2<- "&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
id<- id
p1<- paste0(link,id,link2)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
pos<- length(p4)
node_1<-as.character(p4[pos])
node_2<-as.character(p4[pos-1])
##número de páginas
if(is.na(str_extract(node_1,"(?<=page=)\\d\\d\\d"))){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d"))
if(is.na(p_1)){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d"))
}}else{
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d\\d"))
}
if(is.na(str_extract(node_2,"(?<=page=)\\d\\d\\d"))){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d"))
if(is.na(p_2)){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d"))
}}else{
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d\\d"))
}
if(is.na(p_2)){
p<-p_1
}else{
if(p_2>p_1) {
p<-p_2
}else{
p<-p_1
}
}
if(is.na(p)){
p<-1
}
vpp<-length(str_extract_all(t(xmlToDataFrame(getNodeSet(p3,
"//tbody"))),
boundary("word")))
U_dt<- matrix(-31, ncol = 10, nrow = vpp*p)
k<-1
enla1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
for (j in 1:p) {
enlace<- paste0(enla1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
wind<-as.numeric(rr2[[i]][8])
gust<-as.numeric(rr2[[i]][11])
dir<-paste(rr2[[i]][14],rr2[[i]][15], sep = "-")
xx<- cbind(month, day, year, hora, min, sec, merid, wind, gust, dir)
U_dt[k,]<- xx
k<- k+1
}
}
colnames(U_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "Wd mean", "wd gust", "Dir")
U_dt<- as.data.frame(U_dt)
date_string<- matrix(-31, nrow = length(U_dt[,1]))
namesss<- matrix(-31, nrow = length(U_dt[,1]))
for (i in 1: length(U_dt[,1])) {
fecha1<- paste0( U_dt$Dia[i],'/',
U_dt$Mes[i],'/',
U_dt$anno[i])
fecha2<-paste0(U_dt$Hora[i], ':',
U_dt$Min[i],':',
U_dt$Sec[i], ' ', U_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
U_dt<- cbind(date_string, namesss, U_dt$`Wd mean`, U_dt$`wd gust`, U_dt$Dir)
colnames(U_dt)<- c("s/since_1/1/1970", "date_string_hour","Mean","Max","Dir_ch")
U_dt$Dir_ch<-str_remove(U_dt$Dir_ch, pattern = '-NA')
dir_degrees_U<-matrix(-31, nrow = length(U_dt$Dir))
for (i in 1:length(U_dt$Dir)) {
yy<-U_dt$Dir[i]
dir_degrees_U[i]<- ifelse(yy=="North", 0, ifelse(yy=="North-northeast",20,
ifelse(yy=="Northeast",45, ifelse(yy=="East-northeast",65,
ifelse(yy=="East", 90,
ifelse(yy=="East-southeast", 110,
ifelse(yy=="Southeast", 135,
ifelse(yy=="South-Southeast", 155,
ifelse(yy=="South", 180,
ifelse(yy=="South-southwest", 200,
ifelse(yy=="Southwest", 225,
ifelse(yy=="West-southwest", 245,
ifelse(yy=="West", 270,
ifelse(yy=="West-northwest",290,
ifelse(yy=="Northwest", 315,
ifelse(yy=="North-northwest", 335,
ifelse(yy=='-31',NA)))))))))))))))))
}
dir_degrees_U<- as.data.frame( dir_degrees_U)
U_dt<- cbind(U_dt, dir_degrees_U)
colnames(U_dt)<- c("s/since_1/1/1970", "date_string_hour","Mean","Max","Dir_ch","Dir_deg")
Dataset_XX<- list(U_dt)
return(Dataset_XX)
}
pluvs<-function(id){
link<- "https://measurements.mobile-alerts.eu/Home/MeasurementDetails?deviceid="
link1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
link2<- "&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
id<- id
p1<- paste0(link,id,link2)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
pos<- length(p4)
node_1<-as.character(p4[pos])
node_2<-as.character(p4[pos-1])
##número de páginas
if(is.na(str_extract(node_1,"(?<=page=)\\d\\d\\d"))){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d"))
if(is.na(p_1)){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d"))
}}else{
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d\\d"))
}
if(is.na(str_extract(node_2,"(?<=page=)\\d\\d\\d"))){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d"))
if(is.na(p_2)){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d"))
}}else{
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d\\d"))
}
if(is.na(p_2)){
p<-p_1
}else{
if(p_2>p_1) {
p<-p_2
}else{
p<-p_1
}
}
if(is.na(p)){
p<-1
}
vpp<-length(str_extract_all(t(xmlToDataFrame(getNodeSet(p3,
"//tbody"))),
boundary("word")))
pl_dt<- matrix(-31, ncol = 8, nrow = vpp*p)
k<-1
for (j in 1:p) {
enlace<- paste0(link1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
rain<-as.numeric(rr2[[i]][8])
xx<- cbind(month, day, year, hora, min, sec, merid, rain)
pl_dt[k,]<- xx
k<- k+1
}
}
colnames(pl_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "rain (mm)")
pl_dt<- as.data.frame(pl_dt)
date_string<- matrix(-31, nrow = length(pl_dt[,1]))
namesss<- matrix(-31, nrow = length(pl_dt[,1]))
for (i in 1: length(pl_dt[,1])) {
fecha1<- paste0( pl_dt$Dia[i],'/',
pl_dt$Mes[i],'/',
pl_dt$anno[i])
fecha2<-paste0(pl_dt$Hora[i], ':',
pl_dt$Min[i],':',
pl_dt$Sec[i], ' ', pl_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
pl_dt<- cbind(date_string, namesss, pl_dt$rain)
colnames(pl_dt)<- c("s/since_1/1/1970", "date_string_hour","rain (mm)")
Dataset_XX1<- pl_dt
return(Dataset_XX1)
}
term_hig<-function(id){
link<- "https://measurements.mobile-alerts.eu/Home/MeasurementDetails?deviceid="
link1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
link2<- "&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
id<- id
p1<- paste0(link,id,link2)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
pos<- length(p4)
node_1<-as.character(p4[pos])
node_2<-as.character(p4[pos-1])
##número de páginas
if(is.na(str_extract(node_1,"(?<=page=)\\d\\d\\d"))){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d"))
if(is.na(p_1)){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d"))
}}else{
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d\\d"))
}
if(is.na(str_extract(node_2,"(?<=page=)\\d\\d\\d"))){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d"))
if(is.na(p_2)){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d"))
}}else{
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d\\d"))
}
if(is.na(p_2)){
p<-p_1
}else{
if(p_2>p_1) {
p<-p_2
}else{
p<-p_1
}
}
if(is.na(p)){
p<-1
}
vpp<-length(str_extract_all(t(xmlToDataFrame(getNodeSet(p3,
"//tbody"))),
boundary("word")))
th_lk<-"deviceid=032B8F08E708&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
th_dt<- matrix(-31, ncol = 9, nrow = vpp*p)
k<-1
for (j in 1:p) {
enlace<- paste0(link1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
temp<-as.numeric(rr2[[i]][8])
humd<-as.numeric(rr2[[i]][10])
xx<- cbind(month, day, year, hora, min, sec, merid, temp, humd)
th_dt[k,]<- xx
k<- k+1
}
}
colnames(th_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "temp (ºC)", "humeda(%)")
th_dt<- as.data.frame(th_dt)
date_string<- matrix(-31, nrow = length(th_dt[,1]))
namesss<- matrix(-31, nrow = length(th_dt[,1]))
for (i in 1: length(th_dt[,1])) {
fecha1<- paste0( th_dt$Dia[i],'/',
th_dt$Mes[i],'/',
th_dt$anno[i])
fecha2<-paste0(th_dt$Hora[i], ':',
th_dt$Min[i],':',
th_dt$Sec[i], ' ', th_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
th_dt<- cbind(date_string, namesss, th_dt$temp, th_dt$hum)
colnames(th_dt)<- c("s/since_1/1/1970", "date_string_hour","temp (ºC)","Humedad (%)")
Dataset_XX2<- th_dt
return(Dataset_XX2)
}
get_anem <- possibly(anemos, otherwise = NA)
get_pluvs <- possibly(pluvs, otherwise = NA)
get_term_hig <- possibly(term_hig, otherwise = NA)
### función actualizadora
actualizar_anemos<-function(id,last_time){
link<- "https://measurements.mobile-alerts.eu/Home/MeasurementDetails?deviceid="
link1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
link2<- "&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
p1<- paste0(link,id,link2)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
pos<- length(p4)
node_1<-as.character(p4[pos])
node_2<-as.character(p4[pos-1])
##número de páginas
if(is.na(str_extract(node_1,"(?<=page=)\\d\\d\\d"))){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d"))
if(is.na(p_1)){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d"))
}}else{
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d\\d"))
}
if(is.na(str_extract(node_2,"(?<=page=)\\d\\d\\d"))){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d"))
if(is.na(p_2)){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d"))
}}else{
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d\\d"))
}
if(is.na(p_2)){
p<-p_1
}else{
if(p_2>p_1) {
p<-p_2
}else{
p<-p_1
}
}
if(is.na(p)){
p<-1
}
vpp<-length(str_extract_all(t(xmlToDataFrame(getNodeSet(p3,
"//tbody"))),
boundary("word")))
U_dt<- matrix(-31, ncol = 10, nrow = vpp*p)
k<-1
enla1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
ll<-0
for (j in 1:p) {
if(ll==1){
break
}else{
enlace<- paste0(enla1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")
rr1<- xmlToDataFrame(rr)
rr1<-t(rr1)
rr2<-str_extract_all(rr1, boundary("word"))
for (i in 1:length(rr2)) {
month<- as.numeric(rr2[[i]][1])
day<- as.numeric(rr2[[i]][2])
year<- as.numeric(rr2[[i]][3])
hora<- as.numeric(rr2[[i]][4])
min<- as.numeric(rr2[[i]][5])
sec<- as.numeric(rr2[[i]][6])
merid<- as.character(rr2[[i]][7])
wind<-as.numeric(rr2[[i]][8])
gust<-as.numeric(rr2[[i]][11])
dir<-paste(rr2[[i]][14],rr2[[i]][15], sep = "-")
xx<- cbind(month, day, year, hora, min, sec, merid, wind, gust, dir)
U_dt[k,]<- xx
k<- k+1
fecha1<- paste0( xx[2],'/',
xx[1],'/',
xx[3])
fecha2<-paste0(xx[4], ':',
xx[5],':',
xx[6], ' ', xx[7] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
l<-unclass(as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S"))[1]
if(last_time==l){
ll<-1
}
}
}
}
colnames(U_dt)<- c("Mes", "Dia", "anno", "Hora", "Min", "Sec","Merid", "Wd mean", "wd gust", "Dir")
U_dt<- as.data.frame(U_dt)
date_string<- matrix(-31, nrow = length(U_dt[,1]))
namesss<- matrix(-31, nrow = length(U_dt[,1]))
for (i in 1: length(U_dt[,1])) {
fecha1<- paste0( U_dt$Dia[i],'/',
U_dt$Mes[i],'/',
U_dt$anno[i])
fecha2<-paste0(U_dt$Hora[i], ':',
U_dt$Min[i],':',
U_dt$Sec[i], ' ', U_dt$Merid[i] )
fecha2<- format(strptime(fecha2,"%I:%M:%S %p"),
format = "%H:%M:%S")
fecha<- paste0(fecha1,' ',fecha2)
date_string[i]<-as.POSIXct(fecha,format="%d/%m/%Y %H:%M:%S")
namesss[i]<-as.character(fecha)
}
date_string<- as.data.frame(date_string)
namesss<- as.data.frame(namesss)
U_dt<- cbind(date_string, namesss, U_dt$`Wd mean`, U_dt$`wd gust`, U_dt$Dir)
colnames(U_dt)<- c("s/since_1/1/1970", "Date_hour","Mean","Max","Dir_ch")
U_dt$Dir_ch<-str_remove(U_dt$Dir_ch, pattern = '-NA')
dir_degrees_U<-matrix(-31, nrow = length(U_dt$Dir))
for (i in 1:length(U_dt$Dir)) {
yy<-U_dt$Dir[i]
dir_degrees_U[i]<- ifelse(yy=="North", 0, ifelse(yy=="North-northeast",20,
ifelse(yy=="Northeast",45, ifelse(yy=="East-northeast",65,
ifelse(yy=="East", 90,
ifelse(yy=="East-southeast", 110,
ifelse(yy=="Southeast", 135,
ifelse(yy=="South-Southeast", 155,
ifelse(yy=="South", 180,
ifelse(yy=="South-southwest", 200,
ifelse(yy=="Southwest", 225,
ifelse(yy=="West-southwest", 245,
ifelse(yy=="West", 270,
ifelse(yy=="West-northwest",290,
ifelse(yy=="Northwest", 315,
ifelse(yy=="North-northwest", 335,
ifelse(yy=='-31',NA)))))))))))))))))
}
dir_degrees_U<- as.data.frame( dir_degrees_U)
U_dt<- cbind(U_dt, dir_degrees_U)
U_dt<-U_dt[complete.cases(U_dt), ]
colnames(U_dt)<- c("s/since_1/1/1970", "Date_hour","Mean","Max","Dir_ch","Dir_deg")
Dataset_XX<- list(U_dt)
return(Dataset_XX)
}
actualizar_pluvs<-function(id,last_time){
link<- "https://measurements.mobile-alerts.eu/Home/MeasurementDetails?deviceid="
link1<-"https://measurements.mobile-alerts.eu/Home/MeasurementDetails?"
link2<- "&vendorid=f193c634-2611-475b-ba7a-27b0ead33c6f&appbundle=eu.mobile_alerts.mobilealerts"
id<- id
p1<- paste0(link,id,link2)
p2<- POST(p1, encode = "form")
p3<-htmlParse(p2, asText = TRUE)
p4<-xpathApply(p3, "//a[@href]", xmlGetAttr, "href")
pos<- length(p4)
node_1<-as.character(p4[pos])
node_2<-as.character(p4[pos-1])
##número de páginas
if(is.na(str_extract(node_1,"(?<=page=)\\d\\d\\d"))){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d"))
if(is.na(p_1)){
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d"))
}}else{
p_1<-as.numeric(str_extract(node_1,"(?<=page=)\\d\\d\\d"))
}
if(is.na(str_extract(node_2,"(?<=page=)\\d\\d\\d"))){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d"))
if(is.na(p_2)){
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d"))
}}else{
p_2<-as.numeric(str_extract(node_2,"(?<=page=)\\d\\d\\d"))
}
if(is.na(p_2)){
p<-p_1
}else{
if(p_2>p_1) {
p<-p_2
}else{
p<-p_1
}
}
if(is.na(p)){
p<-1
}
vpp<-length(str_extract_all(t(xmlToDataFrame(getNodeSet(p3,
"//tbody"))),
boundary("word")))
pl_dt<- matrix(-31, ncol = 8, nrow = vpp*p)
k<-1
ll<-0
for (j in 1:p) {
if(ll==1){
break
}else{
enlace<- paste0(link1,"page=",j,"&deviceid=",id,link2)
request2<- POST(enlace, encode = "form")
request_list2<- htmlParse(request2, asText = TRUE)
rr<-getNodeSet(request_list2, "//tbody")