run_data.R

#' Pipeline for Data Retrieval
#'
#' This pipeline performs data retrieval from various data sources.
#' Data can be saved in a s3 bucket if `SAVE_TO_S3` is set to TRUE.

library(targets)

# Set target options:
tar_option_set(
  packages = c(
    "xts", "lubridate", "dplyr", "tidyr", "data.table",
    "jsonlite", "styler", "visNetwork"
  ),
  memory = "transient",
  garbage_collection = TRUE
)
options(dplyr.summarise.inform = FALSE)

# Execute files stored in R/
tar_source(files = "R")

# Saving flag to S3 (TOKEN NEEDED)
SAVE_TO_S3 <- TRUE

# Pipeline
list(
  tar_target(
    name = data_info_file,
    command = "data.yaml",
    format = "file"
  ),
  tar_target(
    name = challenges_file,
    command = "challenges.yaml",
    format = "file"
  ),
  tar_target(
    name = models_file,
    command = "models.yaml",
    format = "file"
  ),
  tar_target(
    name = data_info,
    command = yaml::read_yaml(data_info_file),
  ),
  tar_target(
    name = challenges,
    command = yaml::read_yaml(challenges_file),
  ),
  tar_target(
    name = eurostat,
    command = get_data_from_eurostat(data_info),
  ),
  tar_target(
    name = yahoo,
    command = get_data_from_yahoo(data_info),
  ),
  tar_target(
    name = gtrends,
    command = get_data_from_google_trends(data_info),
  ),
  tar_target(
    name = ember,
    command = get_data_from_ember(data_info),
  ),
  tar_target(
    name = destatis,
    command = get_data_from_destatis(data_info),
  ),
  tar_target(
    name = weekend,
    command = get_weekend_days(data_info, challenges),
  ),
  tar_target(
    name = data,
    command = get_data(
      data_info, c(eurostat, yahoo, gtrends, ember, destatis, weekend))
  ),
  tar_target(
    name = data_saved,
    command = save_data(data, challenges, SAVE_TO_S3),
    format = "file"
  )
)