name: Maintenance jobs

on:
  workflow_dispatch:
    inputs:
      job:
        description: Allowlisted maintenance job
        required: true
        type: choice
        options:
          - cv-benchmark

jobs:
  cv-benchmark:
    if: inputs.job == 'cv-benchmark'
    runs-on: ubuntu-latest
    steps:
      - name: Run private corpus benchmark on production
        uses: appleboy/ssh-action@v1.0.3
        with:
          host: ${{ secrets.PROD_HOST }}
          username: ${{ secrets.PROD_USER }}
          key: ${{ secrets.PROD_SSH_KEY }}
          command_timeout: 30m
          script: |
            set -euo pipefail
            cd /opt/job-tracker/app
            corpus_dir=/home/pi/cvs
            approved_dir="$corpus_dir/approved-jsons"
            output_dir="$(mktemp -d)/latest"
            cleanup() { rm -rf "$(dirname "$output_dir")"; }
            trap cleanup EXIT

            AI_SERVICE_TOKEN="$(sed -n 's/^AI_SERVICE_TOKEN=//p' /opt/job-tracker/shared/.env | tail -n 1)"
            if [ -z "$AI_SERVICE_TOKEN" ]; then
              echo "AI_SERVICE_TOKEN is not configured." >&2
              exit 1
            fi
            ai_id="$(docker compose -f docker-compose.yml ps -q ai-service)"
            ai_ip="$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' "$ai_id")"
            if [ -z "$ai_ip" ]; then
              echo "The AI extraction service is not running." >&2
              exit 1
            fi

            chmod +x scripts/run-cv-benchmark.sh
            CV_BENCHMARK_CORPUS_DIR="$corpus_dir" \
            CV_BENCHMARK_OUTPUT_DIR="$output_dir" \
            CV_BENCHMARK_APPROVED_DIR="$approved_dir" \
            CV_AI_BASE_URL="http://$ai_ip:8001" \
            CV_AI_SERVICE_TOKEN="$AI_SERVICE_TOKEN" \
              scripts/run-cv-benchmark.sh

            backend_id="$(docker compose -f docker-compose.yml ps -q backend)"
            if [ -z "$backend_id" ]; then
              echo "The backend container is not running." >&2
              exit 1
            fi
            docker exec "$backend_id" sh -c 'mkdir -p /data/CvBenchmarks'
            docker cp "$output_dir/." "$backend_id:/data/CvBenchmarks/"
            docker exec "$backend_id" test -s /data/CvBenchmarks/index.json
            docker exec "$backend_id" test -s /data/CvBenchmarks/report.md