cesnimda
63 lines
2.3 KiB
YAML
63 lines
2.3 KiB
YAML
name: Maintenance jobs
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on:
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workflow_dispatch:
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inputs:
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job:
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description: Allowlisted maintenance job
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required: true
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type: choice
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options:
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- cv-benchmark
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jobs:
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cv-benchmark:
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if: inputs.job == 'cv-benchmark'
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runs-on: ubuntu-latest
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steps:
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- name: Run private corpus benchmark on production
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uses: appleboy/ssh-action@v1.0.3
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with:
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host: ${{ secrets.PROD_HOST }}
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username: ${{ secrets.PROD_USER }}
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key: ${{ secrets.PROD_SSH_KEY }}
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command_timeout: 30m
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script: |
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set -euo pipefail
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cd /opt/job-tracker/app
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corpus_dir=/home/pi/cvs
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approved_dir="$corpus_dir/approved-jsons"
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output_dir="$(mktemp -d)/latest"
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cleanup() { rm -rf "$(dirname "$output_dir")"; }
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trap cleanup EXIT
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AI_SERVICE_TOKEN="$(sed -n 's/^AI_SERVICE_TOKEN=//p' /opt/job-tracker/shared/.env | tail -n 1)"
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if [ -z "$AI_SERVICE_TOKEN" ]; then
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echo "AI_SERVICE_TOKEN is not configured." >&2
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exit 1
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fi
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ai_id="$(docker compose -f docker-compose.yml ps -q ai-service)"
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ai_ip="$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' "$ai_id")"
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if [ -z "$ai_ip" ]; then
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echo "The AI extraction service is not running." >&2
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exit 1
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fi
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chmod +x scripts/run-cv-benchmark.sh
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CV_BENCHMARK_CORPUS_DIR="$corpus_dir" \
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CV_BENCHMARK_OUTPUT_DIR="$output_dir" \
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CV_BENCHMARK_APPROVED_DIR="$approved_dir" \
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CV_AI_BASE_URL="http://$ai_ip:8001" \
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CV_AI_SERVICE_TOKEN="$AI_SERVICE_TOKEN" \
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scripts/run-cv-benchmark.sh
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backend_id="$(docker compose -f docker-compose.yml ps -q backend)"
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if [ -z "$backend_id" ]; then
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echo "The backend container is not running." >&2
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exit 1
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fi
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docker exec "$backend_id" sh -c 'mkdir -p /data/CvBenchmarks'
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docker cp "$output_dir/." "$backend_id:/data/CvBenchmarks/"
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docker exec "$backend_id" test -s /data/CvBenchmarks/index.json
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docker exec "$backend_id" test -s /data/CvBenchmarks/report.md
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