source("renv/activate.R") source("src/features/wifi/wifi_base.R") library("dplyr") if(!is.null(snakemake@input[["visible_access_points"]]) && is.null(snakemake@input[["connected_access_points"]])){ wifi_data <- read.csv(snakemake@input[["visible_access_points"]], stringsAsFactors = FALSE) wifi_data <- wifi_data %>% mutate(connected = 0) } else if(is.null(snakemake@input[["visible_access_points"]]) && !is.null(snakemake@input[["connected_access_points"]])){ wifi_data <- read.csv(snakemake@input[["connected_access_points"]], stringsAsFactors = FALSE) wifi_data <- wifi_data %>% mutate(connected = 1) } else if(!is.null(snakemake@input[["visible_access_points"]]) && !is.null(snakemake@input[["connected_access_points"]])){ visible_access_points <- read.csv(snakemake@input[["visible_access_points"]], stringsAsFactors = FALSE) visible_access_points <- visible_access_points %>% mutate(connected = 0) connected_access_points <- read.csv(snakemake@input[["connected_access_points"]], stringsAsFactors = FALSE) connected_access_points <- connected_access_points %>% mutate(connected = 1) wifi_data <- bind_rows(visible_access_points, connected_access_points) %>% arrange(timestamp) } wifi_data <- read.csv(snakemake@input[[1]], stringsAsFactors = FALSE) day_segments <- read.csv(snakemake@input[["day_segments"]]) requested_features <- snakemake@params[["features"]] features = data.frame(local_date = character(), stringsAsFactors = FALSE) day_segments <- day_segments %>% distinct(label) %>% pull(label) # Compute base wifi features for (day_segment in day_segments) features <- merge(features, base_wifi_features(wifi_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 wifi feature extraction functions")) write.csv(features, snakemake@output[[1]], row.names = FALSE)