File Layout

# Weather data download and import task
# This file implements the weather data collection task

#' Weather data selector
#' @param argset Named list of arguments
#' @param tables Named list of database tables
#' @return List containing data for processing
#' @export
weather_download_and_import_rawdata_data_selector <- function(argset, tables) {
  # In real implementation, this would download from external API
  # For demonstration, return empty list
  return(list())
}

#' Weather data action
#' @param data Data from data selector function
#' @param argset Named list of arguments
#' @param tables Named list of database tables  
#' @return NULL (side effect: inserts data into database)
#' @export
weather_download_and_import_rawdata_action <- function(data, argset, tables) {
  # Download weather data for specified location and date
  weather_data <- data.table::data.table(
    granularity_time = "day",
    granularity_geo = "nation", 
    country_iso3 = "NOR",
    location_code = argset$location_code,
    border = global$config$border,
    age = "total",
    sex = "total",
    date = argset$today,
    temp_max = runif(1, 15, 25),
    temp_min = runif(1, 5, 15)
  )
  
  # Insert into database
  tables$anon_weather_data_raw$insert_data(weather_data)
  
  return(invisible())
}

# Weather data cleaning task
# This file implements data cleaning and validation

#' Weather cleaning data selector
#' @param argset Named list of arguments
#' @param tables Named list of database tables
#' @return List containing raw weather data
#' @export
weather_clean_data_data_selector <- function(argset, tables) {
  # Get raw weather data from database
  raw_data <- tables$anon_weather_data_raw$tbl() %>%
    dplyr::filter(
      date >= argset$date_from,
      date <= argset$date_to
    ) %>%
    dplyr::collect() %>%
    data.table::as.data.table()
  
  return(list(
    raw_data = raw_data
  ))
}

#' Weather cleaning action
#' @param data Data from data selector function
#' @param argset Named list of arguments
#' @param tables Named list of database tables
#' @return NULL (side effect: processes and validates data)
#' @export
weather_clean_data_action <- function(data, argset, tables) {
  # Apply data cleaning rules
  clean_data <- data$raw_data
  
  # Remove outliers
  clean_data <- clean_data[
    temp_max >= -50 & temp_max <= 60 &
    temp_min >= -60 & temp_min <= 50
  ]
  
  # Add data quality indicators
  clean_data[, data_quality := "good"]
  
  # Log cleaning results
  cs9::update_config_log(
    task = "weather_clean_data",
    msg = paste("Cleaned", nrow(clean_data), "weather records")
  )
  
  return(invisible())
}

# Weather plotting and export task  
# This file implements visualization and reporting

#' Weather plotting data selector
#' @param argset Named list of arguments
#' @param tables Named list of database tables
#' @return List containing weather data for plotting
#' @export
weather_export_plots_data_selector <- function(argset, tables) {
  # Get processed weather data
  plot_data <- tables$anon_weather_data_raw$tbl() %>%
    dplyr::filter(
      location_code == argset$location_code,
      date >= argset$date_from,
      date <= argset$date_to
    ) %>%
    dplyr::collect() %>%
    data.table::as.data.table()
  
  return(list(
    weather_data = plot_data
  ))
}

#' Weather plotting action
#' @param data Data from data selector function
#' @param argset Named list of arguments
#' @param tables Named list of database tables
#' @return NULL (side effect: creates and saves plots)
#' @export
weather_export_plots_action <- function(data, argset, tables) {
  # Create temperature plot
  if(nrow(data$weather_data) > 0) {
    # Generate filename
    filename <- paste0(
      "weather_", argset$location_code, "_", 
      format(Sys.Date(), "%Y%m%d"), ".png"
    )
    
    # Create simple plot
    plot_data <- data$weather_data
    
    p <- ggplot2::ggplot(plot_data, ggplot2::aes(x = date)) +
      ggplot2::geom_line(ggplot2::aes(y = temp_max, color = "Max")) +
      ggplot2::geom_line(ggplot2::aes(y = temp_min, color = "Min")) +
      ggplot2::labs(
        title = paste("Temperature for", argset$location_code),
        x = "Date", y = "Temperature (°C)"
      ) +
      ggplot2::theme_minimal()
    
    # Save plot
    ggplot2::ggsave(
      filename = file.path(argset$output_dir, filename),
      plot = p, width = 10, height = 6, dpi = 150
    )
    
    # Log completion
    cs9::update_config_log(
      task = "weather_export_plots",
      msg = paste("Created plot:", filename)
    )
  }
  
  return(invisible())
}