Pull in the latest generated data files #17
Workflow file for this run
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| name: Provider Map Jobs | |
| on: | |
| # TODO: Remove this once behavior has been finalized | |
| push: | |
| branches: | |
| - vlad/provider-map-gha | |
| workflow_dispatch: | |
| schedule: | |
| - cron: "0 0 * * 0" | |
| jobs: | |
| fetch_warehouse: | |
| name: Fetch Warehouse Updates | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| - name: Authenticate with Google | |
| uses: google-github-actions/auth@v1 | |
| with: | |
| credentials_json: '${{ secrets.GCP_SA_KEY }}' | |
| - name: Set up Cloud SDK | |
| uses: google-github-actions/setup-gcloud@v1 | |
| - name: Download providers.csv from warehouse | |
| run: | | |
| bq query \ | |
| --quiet \ | |
| --headless \ | |
| --format=csv \ | |
| --use_legacy_sql=false \ | |
| --max_rows=500 \ | |
| "SELECT * FROM \`mart_transit_database.dim_mobility_mart_providers\`" \ | |
| > src/metadata/providers/providers.csv | |
| - name: Fix our CSV file | |
| run: | | |
| # Workaround because of... | |
| # https://github.com/google-github-actions/setup-gcloud/issues/666 | |
| sed -i -n -e '/agency_name/,$p' src/metadata/providers/providers.csv | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.10' | |
| - name: Install pandas | |
| run: | | |
| pip install pandas | |
| - name: Update Counties GeoJSON file | |
| shell: python | |
| run: | | |
| import json | |
| import pandas as pd | |
| providers_file = 'src/metadata/providers/providers.csv' | |
| df = pd.read_csv(providers_file) | |
| city_lookup = pd.read_csv('src/metadata/cities_to_county.csv') | |
| city_to_county = dict(zip(city_lookup['City'], city_lookup['County'])) | |
| lookup_records = df[df['counties_served'].isna()]['ntd_id'] | |
| # Fill in the null values for counties served with the HQ county | |
| for record in lookup_records: | |
| city = df[df['ntd_id'] == record]['hq_city'].values[0] | |
| try: | |
| county = city_to_county[city] or city_to_county[f'City of {city}'] | |
| df.loc[df['ntd_id'] == record, 'hq_county'] = county | |
| df.loc[df['ntd_id'] == record, 'counties_served'] = county | |
| except KeyError: | |
| print("No county found for city: ", city) | |
| df.to_csv(providers_file) | |
| # Do a group by for the counties served | |
| county_counts = df['counties_served'].str.split(';') \ | |
| .explode('counties_served') \ | |
| .value_counts() | |
| geojson_file = 'src/metadata/providers/counties.geojson' | |
| geojson = json.load(open(geojson_file)) | |
| # Add the county counts to the geojson | |
| for feature in geojson['features']: | |
| county_name = feature['properties']['county'] | |
| if county_name in county_counts: | |
| feature['properties']['num_providers'] = int(county_counts[county_name]) | |
| else: | |
| feature['properties']['num_providers'] = 0 | |
| # Write the geojson back to the file | |
| with open(geojson_file, 'w') as f: | |
| json.dump(geojson, f, indent=2) | |
| - name: Create Pull Request | |
| uses: peter-evans/create-pull-request@v5 | |
| with: | |
| title: Provider Map Data Auto Update | |
| body: | | |
| It's that time again! The warehouse has delivered new data for us to use. This is an automatic pull request created by the `provider-map-jobs.yml` workflow; it is triggered via a cron that runs every Sunday at midnight UTC. | |
| commit-message: Auto-update provider data from warehouse | |
| add-paths: | | |
| src/metadata/providers/providers.csv | |
| src/metadata/providers/counties.geojson | |
| base: main |