42 lines
2.1 KiB
R
42 lines
2.1 KiB
R
source("renv/activate.R")
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library("tidyverse")
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library(readr)
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input <- read.csv(snakemake@input[[1]]) %>% arrange(timestamp)
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sensor_output <- snakemake@output[[1]]
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timezone_periods <- snakemake@params[["timezone_periods"]]
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fixed_timezone <- snakemake@params[["fixed_timezone"]]
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split_local_date_time <- function(data){
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return(data %>%
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separate(local_date_time, c("local_date","local_time"), "\\s", remove = FALSE) %>%
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separate(local_time, c("local_hour", "local_minute"), ":", remove = FALSE, extra = "drop") %>%
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mutate(local_hour = as.numeric(local_hour),
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local_minute = as.numeric(local_minute),
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local_day_segment = case_when(local_hour %in% 0:5 ~ "night",
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local_hour %in% 6:11 ~ "morning",
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local_hour %in% 12:17 ~ "afternoon",
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local_hour %in% 18:23 ~ "evening")))
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}
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if(!is.null(timezone_periods)){
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timezones <- read_csv(timezone_periods)
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tz_starts <- timezones$start
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output <- input %>%
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mutate(timezone = findInterval(timestamp / 1000, tz_starts), # Set an interval ID based on timezones' start column
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timezone = ifelse(timezone == 0, 1, timezone), # Correct the first timezone ID
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timezone = recode(timezone, !!! timezones$timezone), # Swap IDs for text labels
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timezone = as.character(timezone)) %>%
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rowwise() %>%
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mutate(utc_date_time = as.POSIXct(timestamp/1000, origin="1970-01-01", tz="UTC"),
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local_date_time = format(utc_date_time, tz = timezone, usetz = T))
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output <- split_local_date_time(output)
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write.csv(output, sensor_output)
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} else if(!is.null(fixed_timezone)){
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output <- input %>%
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mutate(utc_date_time = as.POSIXct(timestamp/1000, origin="1970-01-01", tz="UTC"),
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local_date_time = format(utc_date_time, tz = fixed_timezone, usetz = F))
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output <- split_local_date_time(output)
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write_csv(output, sensor_output)
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}
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