rapids/src/features/bluetooth_features.R

20 lines
1018 B
R

source("renv/activate.R")
source("src/features/bluetooth/bluetooth_base.R")
library(dplyr)
library(tidyr)
bluetooth_data <- read.csv(snakemake@input[[1]], stringsAsFactors = FALSE)
day_segments <- read.csv(snakemake@input[["day_segments"]], stringsAsFactors = FALSE)
requested_features <- snakemake@params[["features"]]
features = data.frame(local_date = character(), stringsAsFactors = FALSE)
day_segments <- day_segments %>% distinct(label) %>% pull(label)
# Compute base bluetooth features
for (day_segment in day_segments)
features <- merge(features, base_bluetooth_features(bluetooth_data, day_segment, requested_features), by="local_date", all = TRUE)
if(ncol(features) != (length(requested_features)) * length(day_segments) + 1)
stop(paste0("The number of features in the output dataframe (=", ncol(features),") does not match the expected value (=", length(requested_features)," + 1). Verify your bluetooth feature extraction functions"))
write.csv(features, snakemake@output[[1]], row.names = FALSE)