# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/")

## Read data for holiday

hd0 <- read.table("data/metadata/feiertage.csv", sep = ";", header = TRUE)
hd0$X.br. <- NULL

hd <- hd0[hd0$Abkuerzung == "NI", ]
names(hd) <- c("state", "stateCode", "date", "holiday")
hd$date <- as.POSIXct(hd$date)

## Read data for school vacations

# https://ferien-api.de/#holidaysPerStateAndYear
# Data extracted (on Linux) via:
# curl https://ferien-api.de/api/v1/holidays/NI > schulferien_NI.json

# library(jsonlite)
# 
# dat <- read_json("data/metadata/schulferien_NI.json", simplify = TRUE)
# dat$slug <- NULL
# 
# dat$name <- paste0(gsub("^(.*).niedersachsen.*", "\\1", dat$name),
#                    gsub("^.*niedersachsen [0-9]{4}(.*)", "\\1",
#                               dat$name))
# 
# write.table(dat, "data/metadata/schulferien_2019-2025_NI.csv", sep = ";",
#             row.names = FALSE, quote = FALSE)

sf1 <- read.table("data/metadata/schulferien_2016-2018_NI.csv", sep = ";",
                  header = TRUE)
sf2 <- read.table("data/metadata/schulferien_2019-2025_NI.csv", sep = ";",
                  header = TRUE)
sf <- rbind(sf1, sf2)
sf$start <- as.Date(sf$start)
sf$end <- as.Date(sf$end)

sfdat <- NULL

for (i in seq_len(nrow(sf))) {
  date <- seq(sf$start[i], sf$end[i], by = 1)
  sfdat <- rbind(sfdat, data.frame(date, vacations = sf$name[i],
                                   stateCodeVacations = sf$stateCode[i]))
}

# TODO: How to handle stateCode? There will be several for certain types of
# data sets... Not important here, since I only do NI.

# load (small) event log data set
dat <- read.table("data/haum/event_logfiles_2023-09-23_01-31-30.csv",
                  sep = ";", header = TRUE)
dat$date.start <- as.POSIXct(dat$date.start)
dat$date.stop <- as.POSIXct(dat$date.stop)
dat$artwork <- sprintf("%03d", dat$artwork)
dat$date <- as.Date(dat$date.start)

## Add metadata

# holidays
dat1 <- merge(dat, hd, by = "date", all.x = TRUE)
# school vacations
dat2 <- merge(dat1, sfdat, by = "date", all.x = TRUE)

## Export data

write.table(dat2,
            file = "data/haum/event_logfiles_metadata_2023-09-23_01-31-30.csv",
            sep = ";", row.names = FALSE)

# TODO: Maybe add infos about artworks?