library(ooir)
library(tidyverse)
api_user <- 'OOIAPI-GBZLL30PK7OU67'
api_token <- 'TEMP-TOKEN-NVSQ4OQM8VH7H7'
# full list of sites
sites <- get_sites(api_user, api_token)
# loop through these sites
# find the nodes, loop through these
# Find the sensors, loop through these and make a data table containing all that info
# Plus plain language interpretations of coded vars
for (i in 1:length(sites)) {
print(i)
print(sites[i])
nodes <- get_nodes(sites[i], api_user, api_token)
for (j in 1:length(nodes)) {
sensors <- get_sensors(sites[i],nodes[j],api_user, api_token)
for (k in 1:length(sensors)) {
name <- get_sensor_name(sites[i],nodes[j],sensors[k],api_user, api_token)
if(is.null(name)) {
name <- NA
}
location <- get_sensor_location(sites[i],nodes[j],sensors[k],api_user, api_token)
if(length(location)==0) {
location <- NA
}
depth <- get_sensor_depth(sites[i],nodes[j],sensors[k],api_user, api_token)
if(length(depth)==0) {
depth <- NA
}
df <- tibble(site = sites[i],
node = nodes[j],
sensor = sensors[k],
name = name,
location = location,
min_depth = depth[1],
max_depth = depth[2])
if(i == 1 & j ==1 & k == 1) {
sensors_all <- df
} else {
sensors_all <- bind_rows(sensors_all, df)
}
}
}
}
usethis::use_data(sensors_all,overwrite = TRUE)
sensors_unique <- unique(stringr::str_replace_all(unique(sensors_all$name)," \\(.*\\)",""))
usethis::use_data(sensors_unique, overwrite = TRUE)
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