config.yaml

events:
  query:
    start_date: "2009-01-01"
    end_date: "2024-07-31"
    per_page: 1000

  distance_categories:
    - sprint
    - standard

  sports:
    - swim
    # - t1
    - bike
    # - t2
    - run

  program_names:
    - Elite Men
    - Elite Women
    # todo: currently not supported:
    # - U23 Men
    # - U23 Women
    # - Junior Men
    # - Junior Women

  # get_events_categories()
  category_ids:
    # 483: Age-Group Event
    # 612: Arena Games Finals
    # 610: Arena Games Series
    # 340: Continental Championships
    # 341: Continental Cup
    # 342: Continental Junior Cup
    # 623: Continental Para Cup
    # 477: Development Regional Cup
    343: Major Games
    # 344: Multisport Series
    # 352: Qualification Event
    345: Recognised Event
    346: Recognised Games
    # 347: Regional Championships
    # 640: T100 Triathlon World Tour
    624: World Championship Finals
    351: World Championship Series
    # 348: World Championships
    349: World Cup
    # 631: World Indoor Cup
    # 449: World Para Cup
    # 448: World Para Series
    # 350: World Paratriathlon Event

  # using own names, and merging categories together
  event_category_mapping:
    343: games
    345: games
    346: games
    624: wcs
    351: wcs
    349: world-cup
    # 348: world-champs

  # get_events_specifications()
  specification_ids:
    #  - [ 453, "Aquabike" ]
    #  - [ 353, "Aquathlon" ]
    #  - [ 408, "Cross Duathlon" ]
    #  - [ 354, "Cross Triathlon" ]
    #  - [ 355, "Duathlon" ]
    #  - [ 356, "Long Distance Triathlon" ]
    - [ 357, "Triathlon" ]
    #  - [ 595, "Winter Duathlon" ]
    #  - [ 358, "Winter Triathlon" ]

  expected_distances:
    sprint:
      - [ 700, 800 ]
      - [ 18, 23 ]
      - [ 4.5, 5.5 ]
    standard:
      - [ 1400, 1600 ]
      - [ 36, 44 ]
      - [ 9, 11 ]

  pack_duration_s: 10
  # fallback when no info about wetsuit: possibility to download pictures of the event, and manually validate wetsuit: yes/no
  label_manually: false

  mean_computation:
    use_best_in_each_sport: true

    # todo: be careful with indexes: python indexing starts at 0
    # 5th-9th
    i_first: 4
    i_last: 9

    # top3
    # i_first: 0
    # i_last: 3

    # top10
    # i_first: 0
    # i_last: 10

  cleaning:
    n_results_min: 25
    min_duration_s: 180
    swim_diff_percent_max: 0.22

    sport_outliers: # todo: decide how many outliers to remove. 0=swim, 1=bike, 2=run
      - [ 0, 54303 ]  # 2012 Mooloolaba ITU Triathlon World Cup

      - [ 1, 165396 ]  # 2022 World Triathlon Cup Pontevedra
      - [ 1, 184828 ]  # 2024 World Triathlon Cup Hong Kong

      - [ 2, 80081 ]  # 2014 Tongyeong ITU Triathlon World Cup
      - [ 2, 78733 ]  # 2014 New Plymouth ITU Triathlon World Cup
      - [ 2, 153774 ]  # 2021 World Triathlon Cup Huatulco
      - [ 2, 109660 ]  # 2017 Madrid ITU Triathlon World Cup
      - [ 2, 45133 ]  # 2011 Huatulco ITU Triathlon World Cup

    #      - [2, 175736]  # 2023 World Triathlon Cup Brasilia

    remove_extreme_diffs: false
    quantile_min: 0.1
    quantile_max: 0.9

  t1_with_wetsuit:
    # ignore the last5
    i_first: 0
    i_last: -5

    events:
      max_year_gap: 15
      min_t1_delta: 4
      max_t1_delta: 16

    wm:
#      model: "1d"
      model: "1.5d"
#      model: "2d"
      helmet: 3
      min_t1: 10  # how many seconds should t1 last (without wetsuit)? The larger, the less important the part of "static phase putting the helmet on", therefore the more focus on the running part.

  wetsuit_benefit_from_recurring_events:
    max_year_gap: 5
    min_wet_gain_percent: -5
    max_wet_gain_percent: 14

  n_repetitions_min: 4

seasons:
  suffix: "w"
#  suffix: "m"