1_fetch.yml

target_default: 1_fetch

packages:
  - scipiper
  - dplyr
  #- sbtools

sources:
  - 1_fetch/src/sb_utils.R
  - 1_fetch/src/fetch_utils.R

targets:
  1_fetch:
    depends:
      - nml_list
      - 1_fetch/out/pb0_config.json
      - 1_fetch/out/03_temperature_observations.csv
      - model_ids

  # relies on the .csv contents of '../lake-temperature-model-prep/7_drivers_munge/out'

  1_fetch/out/pb0_config.json:
    command: fetch_sb_file(target_name, sb_id = I('5db81967e4b0b0c58b5a4c3f'), dummy = I("2020-01-25"))

  1_fetch/out/03_temperature_observations.csv:
    command: fetch_sb_file(target_name, sb_id = I('5db81985e4b0b0c58b5a4c41'),
      sb_file = I('03_temperature_observations.zip'), unzip = TRUE, dummy = I("2020-01-25"))

  # this is pretty redundant with pb0_config.json, but is _only_ the params that change from lake to lake
  # we need if for the time being right now
  nml_list:
    command: filter_nml_list('../lake-temperature-model-prep/7_config_merge/out/nml_list.rds')

  # note that including Kw drops modeled lakes from 13,384 to 6,922
  model_ids:
    command: names(nml_list)

  kw_data:
    command: readRDS("../lake-temperature-model-prep/4_params_munge/out/toha_varying_kw.rds")

  toha_model_ids:
    command: filter_toha_models(nml_list,
      kw_data = kw_data)