deep-snow/.github/workflows/batch_predict_ts.yml at main · ecouter/deep-snow · GitHub

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# Batch predict snow depth over many tiles
name: batch_sd_timeseries
run-name: predict sd ${{ inputs.begin_date }}-${{ inputs.end_date }}

on:
  workflow_dispatch:
    inputs:
        begin_date:
            type: string
            required: true
            description: earliest date to predict snow depths with format yyyymmdd
            default: '20220101'
        end_date:
            type: string
            required: true
            description: most recent date to predict snow depths with format yyyymmdd
            default: '20220301'
        snow_off_day:
            type: string
            required: true
            description: snow-off month and day (perhaps late summer) with format mmdd
            default: '0901'
        aoi:
            type: string
            required: true
            description: area of interest in format 'minlon minlat maxlon maxlat'
            default: '-108.20 37.55 -107.61 38.09'
        cloud_cover:
            type: string
            required: true
            description: percent cloud cover allowed in images (0-100)
            default: '100'
        use_ensemble:
            type: choice
            required: true
            description: whether to use model ensemble
            default: 'True'
            options:
            - 'True'
            - 'False'

jobs:
  # The output of this job is a JSON mapping for a matrix job
  prep_dates:
    runs-on: ubuntu-latest
    outputs:
      MATRIX: ${{ steps.prep_dates.outputs.MATRIX_PARAMS_COMBINATIONS }}
    defaults:
      run:
        shell: bash -el {0}
    steps:
      - name: Checkout Repository
        uses: actions/checkout@v4

      - name: Install Conda environment with Micromamba
        uses: mamba-org/setup-micromamba@v2
        with:
          cache-environment: true
          environment-file: environment.yml

      - name: Select dates over time range
        id: prep_dates
        run: |
          python -u scripts/actions/prep_time_series.py ${{ inputs.begin_date }} ${{ inputs.end_date }}  ${{ inputs.snow_off_day }}
  # A matrix job that calls a reuseable workflow
  prep_tiles:
    needs: prep_dates
    strategy:
      fail-fast: false
      matrix: ${{ fromJson(needs.prep_dates.outputs.MATRIX) }}
    name: ${{ matrix.target_date }}
    uses: ./.github/workflows/batch_predict_sd.yml
    with:
      target_date: ${{ matrix.target_date }}
      snow_off_date: ${{ matrix.snow_off_date }}
      aoi: ${{ inputs.aoi }}
      cloud_cover: ${{ inputs.cloud_cover }}
      use_ensemble: ${{ inputs.use_ensemble }}