3_visualize.yml

target_default: 3_visualize

packages:
  - dplyr
  - sf
  - xml2
  - jsonlite 
  - data.table
  - stringr

sources:
  - 3_visualize/src/build_peaks_svg.R
  - 3_visualize/src/svg_utils_general.R
  - 3_visualize/src/svg_utils_mapping.R
  - 3_visualize/src/svg_utils_paths.R
  - 3_visualize/src/svg_utils_vue.R
  - 3_visualize/src/sf_utils_shift.R
  - 3_visualize/src/push_s3.R

targets:

  3_visualize:
    depends:
      - visualizations/data/gw-conditions-peaks-map.svg.ind
      - visualizations/data/gw-conditions-site-coords.csv.ind
      - visualizations/data/gw-conditions-peaks-timeseries.csv.ind
      - visualizations/data/gw-conditions-daily-proportions.csv.ind
      - src/assets/gw-conditions-peaks-map.svg # Currently a temporary fix!
      - 3_visualize/out/gw-conditions-peaks-timeseries-s3copy.ind
      - 3_visualize/out/gw-conditions-daily-proportions-s3copy.ind
      - 3_visualize/out/gw-conditions-site-coords-s3copy.ind
      - 3_visualize/out/gw-conditions-time-labels-s3copy.ind
      

  3_visualize/out/gw-conditions-peaks-map.svg:
    command: build_peaks_svg(
      target_name, 
      svg_width = svg_width, 
      svg_height = svg_height,
      digits = 3,
      aria_title,
      aria_desc)
    depends:
     - '2_process/out/nws_states.shp'
      
  3_visualize/out/gw-conditions-peaks-timeseries.csv:
    command: gwl_to_peak(
      target_name, 
      gw_anomaly_data_w_colors)
    
  3_visualize/out/gw-conditions-site-coords.csv:
    command: get_site_coords(
      target_name,
      sites_sf = gw_sites_sf_shifted)
  
  3_visualize/out/gw-conditions-daily-proportions.csv:
    command: site_prop_timeseries(target_name, 
      gw_anomaly_data_w_colors)
  
  ##-- Now push the data needed by Vue to S3 --##

  # These data end up on the Prod VPC with `us-west-2`
  # You must login separately using `ssologin.sh`
  
  visualizations/data/gw-conditions-peaks-map.svg.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-peaks-map.svg', config_file = I('lib/cfg/s3_config_viz.yml'))
    
  visualizations/data/gw-conditions-peaks-timeseries.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-peaks-timeseries.csv', config_file = I('lib/cfg/s3_config_viz.yml'))


  visualizations/data/gw-conditions-site-coords.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-site-coords.csv', config_file = I('lib/cfg/s3_config_viz.yml'))
  
  visualizations/data/gw-conditions-daily-proportions.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-daily-proportions.csv', config_file = I('lib/cfg/s3_config_viz.yml'))

  # MUST BE RUN MANUALLY, AS UPLOADING FILES UPDATES THE BETA SITE
  # Upload to Prod (beta bucket) a copy of the timeseries, daily proportions, site coords, and time labels to use on the beta site
  visualizations/data/gw-conditions-peaks-timeseries-beta.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-peaks-timeseries.csv', config_file = I('lib/cfg/s3_config_viz_beta.yml'))
  
  visualizations/data/gw-conditions-daily-proportions-beta.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-daily-proportions.csv', config_file = I('lib/cfg/s3_config_viz_beta.yml'))

  visualizations/data/gw-conditions-site-coords-beta.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-site-coords.csv', config_file = I('lib/cfg/s3_config_viz_beta.yml'))
    
  visualizations/data/gw-conditions-time-labels-beta.csv.ind:
    command: s3_put(target_name, '2_process/out/gw-conditions-time-labels.csv', config_file = I('lib/cfg/s3_config_viz_beta.yml'))

  # MUST BE RUN MANUALLY, AS UPLOADING FILES UPDATES THE LIVE SITE
  # Upload to Prod (prod bucket) a copy of the timeseries, daily proportions, site coords, and time labels to use on the live site
  visualizations/data/gw-conditions-peaks-timeseries-live.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-peaks-timeseries.csv', config_file = I('lib/cfg/s3_config_viz.yml'))
  
  visualizations/data/gw-conditions-daily-proportions-live.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-daily-proportions.csv', config_file = I('lib/cfg/s3_config_viz.yml'))

  visualizations/data/gw-conditions-site-coords-live.csv.ind:
    command: s3_put(target_name, '3_visualize/out/gw-conditions-site-coords.csv', config_file = I('lib/cfg/s3_config_viz.yml'))
    
  visualizations/data/gw-conditions-time-labels-live.csv.ind:
    command: s3_put(target_name, '2_process/out/gw-conditions-time-labels.csv', config_file = I('lib/cfg/s3_config_viz.yml'))

  # We want to keep a copy of each time window we use, but don't want to have to keep changing the 
  # filename that is used by the Vue code manually. So, we are uploading a copy of the data for
  # the current viz time window and naming based on the dates.
  # This data ends up on the Dev VPC with `us-west-2`; you must login separately using `ssologin.sh`
  gw_conditions_peaks_timeseries_s3copy_fname:
    command: sprintf(
      I('gw-conditions/viz-previous-peak-data/gw-conditions-peaks-timeseries-%s_%s.csv'),
      viz_start_date, viz_end_date)
  3_visualize/out/gw-conditions-peaks-timeseries-s3copy.ind:
    command: push_s3(
      upload_ind = target_name,
      local_file = '3_visualize/out/gw-conditions-peaks-timeseries.csv', 
      s3_file = gw_conditions_peaks_timeseries_s3copy_fname,
      config_file = I('lib/cfg/s3_config.yml'))
  
  gw_conditions_daily_proportions_s3copy_fname:
    command: sprintf(
      I('gw-conditions/viz-previous-peak-data/gw-conditions-daily-proportions-%s_%s.csv'),
      viz_start_date, viz_end_date)
  3_visualize/out/gw-conditions-daily-proportions-s3copy.ind:
    command: push_s3(
      upload_ind = target_name,
      local_file = '3_visualize/out/gw-conditions-daily-proportions.csv', 
      s3_file = gw_conditions_daily_proportions_s3copy_fname,
      config_file = I('lib/cfg/s3_config.yml'))
      
  gw_conditions_site_coords_s3copy_fname:
    command: sprintf(
      I('gw-conditions/viz-previous-peak-data/gw-conditions-site-coords-%s_%s.csv'),
      viz_start_date, viz_end_date)
  3_visualize/out/gw-conditions-site-coords-s3copy.ind:
    command: push_s3(
      upload_ind = target_name,
      local_file = '3_visualize/out/gw-conditions-site-coords.csv', 
      s3_file = gw_conditions_site_coords_s3copy_fname,
      config_file = I('lib/cfg/s3_config.yml'))
      
  gw_conditions_time_labels_s3copy_fname:
    command: sprintf(
      I('gw-conditions/viz-previous-peak-data/gw-conditions-time-labels-%s_%s.csv'),
      viz_start_date, viz_end_date)
  3_visualize/out/gw-conditions-time-labels-s3copy.ind:
    command: push_s3(
      upload_ind = target_name,
      local_file = '2_process/out/gw-conditions-time-labels.csv', 
      s3_file = gw_conditions_time_labels_s3copy_fname,
      config_file = I('lib/cfg/s3_config.yml'))

  # TEMPORARY FIX #
  # Currently, we can't inject SVG directly from a URL. So,
  # moving the SVG file to `assets` for now. Delete when we can 
  # do this from S3 (and also delete the file from assets/)
  src/assets/gw-conditions-peaks-map.svg:
    command: file.copy(to = target_name, from = '3_visualize/out/gw-conditions-peaks-map.svg', overwrite = TRUE)