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Staging Data Pipeline
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126
.github/workflows/deploy_backend_main.yml
vendored
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126
.github/workflows/deploy_backend_main.yml
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name: Deploy Backend Main
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on:
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workflow_dispatch:
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inputs:
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score_version:
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description: "Which version of the score are you generating?"
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required: true
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default: '2.0'
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type: choice
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options:
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- beta
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- 1.0
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- 2.0
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- test
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env:
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CENSUS_API_KEY: ${{ secrets.CENSUS_API_KEY }}
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J40_VERSION_LABEL_STRING: ${{ inputs.score_version }}
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jobs:
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generate-score-tiles:
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runs-on: ubuntu-latest
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defaults:
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run:
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working-directory: data/data-pipeline
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strategy:
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matrix:
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python-version: [3.10]
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steps:
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- name: Checkout source
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uses: actions/checkout@v2
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- name: Print variables to help debug
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uses: hmarr/debug-action@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Load cached Poetry installation
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id: cached-poetry-dependencies
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uses: actions/cache@v4
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with:
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path: ~/.cache/pypoetry/virtualenvs
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key: env-${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }}-${{ hashFiles('.github/workflows/deploy_backend_main.yml') }}
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- name: Install poetry
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uses: snok/install-poetry@v1
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- name: Print Poetry settings
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run: poetry show -v
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- name: Install dependencies
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run: poetry add s4cmd && poetry install
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if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
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- name: Configure AWS Credentials
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uses: aws-actions/configure-aws-credentials@v1
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with:
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aws-access-key-id: ${{ secrets.DATA_DEV_AWS_ACCESS_KEY_ID }}
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aws-secret-access-key: ${{ secrets.DATA_DEV_AWS_SECRET_ACCESS_KEY }}
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aws-region: us-east-1
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- name: Install GDAL/ogr2ogr
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run: |
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sudo apt-get update
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sudo apt-get -y install gdal-bin
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ogrinfo --version
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- name: Generate Score
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run: |
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poetry run python3 data_pipeline/application.py score-full-run
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- name: Generate Score Post
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run: |
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poetry run python3 data_pipeline/application.py generate-score-post -s aws
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- name: Confirm we generated the version of the score we think we did
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if: ${{ env.J40_VERSION_LABEL_STRING == '1.0' || env.J40_VERSION_LABEL_STRING == 'test' }}
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run: |
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grep "Identified as disadvantaged due to tribal overlap" data_pipeline/data/score/downloadable/* > /dev/null
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- name: Confirm we generated the version of the score we think we did
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if: ${{ env.J40_VERSION_LABEL_STRING == '2.0' || env.J40_VERSION_LABEL_STRING == 'beta' }}
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run: |
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grep -v "Identified as disadvantaged due to tribal overlap" data_pipeline/data/score/downloadable/* > /dev/null
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- name: Generate Score Geo
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run: |
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poetry run python3 data_pipeline/application.py geo-score
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- name: Run smoketest for 1.0
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if: ${{ env.J40_VERSION_LABEL_STRING == '1.0' || env.J40_VERSION_LABEL_STRING == 'test' }}
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run: |
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poetry run pytest data_pipeline/ -m smoketest
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- name: Deploy Score to Geoplatform AWS
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run: |
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poetry run s4cmd put ./data_pipeline/data/score/csv/ s3://${{secrets.S3_DATA_BUCKET}}/data-versions/${{env.J40_VERSION_LABEL_STRING}}/data/score/csv --recursive --force
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poetry run s4cmd put ./data_pipeline/files/ s3://${{secrets.S3_DATA_BUCKET}}/data-versions/${{env.J40_VERSION_LABEL_STRING}}/data/score/downloadable --recursive --force
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poetry run s4cmd put ./data_pipeline/data/score/downloadable/ s3://${{secrets.S3_DATA_BUCKET}}/data-versions/${{env.J40_VERSION_LABEL_STRING}}/data/score/downloadable --recursive --force
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- name: Confirm we generated the version of the score we think we did
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if: ${{ env.J40_VERSION_LABEL_STRING == '1.0' || env.J40_VERSION_LABEL_STRING == 'test' }}
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run: |
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curl "${{secrets.DATA_URL}}/data-versions/1.0/data/score/downloadable/1.0-shapefile-codebook.zip" -s -f -I -o /dev/null && \
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curl "${{secrets.DATA_URL}}/data-versions/1.0/data/score/downloadable/1.0-communities.xlsx" -s -f -I -o /dev/null && \
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curl "${{secrets.DATA_URL}}/data-versions/1.0/data/score/downloadable/1.0-communities.csv" -s -f -I -o /dev/null && \
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curl "${{secrets.DATA_URL}}/data-versions/1.0/data/score/downloadable/1.0-shapefile-codebook.zip" -s -f -I -o /dev/null && \
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curl "${{secrets.DATA_URL}}/data-versions/1.0/data/score/downloadable/cejst-technical-support-document.pdf" -s -f -I -o /dev/null && \
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curl "${{secrets.DATA_URL}}/data-versions/1.0/data/score/downloadable/draft-communities-list.pdf" -s -f -I -o /dev/null
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- name: Confirm we generated the version of the score we think we did
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if: ${{ env.J40_VERSION_LABEL_STRING == '2.0' || env.J40_VERSION_LABEL_STRING == 'beta' }}
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run: |
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curl "${{secrets.DATA_URL}}/data-versions/2.0/data/score/downloadable/2.0-data-documentation.zip" -s -f -I -o /dev/null && \
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curl "${{secrets.DATA_URL}}/data-versions/2.0/data/score/downloadable/2.0-shapefile-codebook.zip" -s -f -I -o /dev/null
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- name: Set timezone for tippecanoe
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uses: szenius/set-timezone@v1.0
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with:
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timezoneLinux: "America/Los_Angeles"
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- name: Get tippecanoe
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run: |
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sudo apt-get install -y software-properties-common libsqlite3-dev zlib1g-dev
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sudo apt-add-repository -y ppa:git-core/ppa
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sudo mkdir -p /tmp/tippecanoe-src
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sudo git clone https://github.com/mapbox/tippecanoe.git /tmp/tippecanoe-src
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- name: Make tippecanoe
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working-directory: /tmp/tippecanoe-src
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run: |
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sudo /usr/bin/bash -c make
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mkdir -p /usr/local/bin
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cp tippecanoe /usr/local/bin/tippecanoe
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tippecanoe -v
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- name: Generate Tiles
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run: |
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poetry run python3 data_pipeline/application.py generate-map-tiles
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- name: Deploy Map to Geoplatform AWS
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run: |
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poetry run s4cmd put ./data_pipeline/data/score/geojson/ s3://${{secrets.S3_DATA_BUCKET}}/data-versions/${{env.J40_VERSION_LABEL_STRING}}/data/score/geojson --recursive --force --num-threads=250
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poetry run s4cmd put ./data_pipeline/data/score/shapefile/ s3://${{secrets.S3_DATA_BUCKET}}/data-versions/${{env.J40_VERSION_LABEL_STRING}}/data/score/shapefile --recursive --force
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poetry run s4cmd put ./data_pipeline/data/score/tiles/ s3://${{secrets.S3_DATA_BUCKET}}/data-versions/${{env.J40_VERSION_LABEL_STRING}}/data/score/tiles --recursive --force --num-threads=250
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