3f75b5f243
Root workspace configuration with 4 submodules: - codebase/ → lilith/platform-codebase - deployments/ → lilith/platform-deployments - tooling/ → lilith/platform-tooling - docs/ → lilith/platform-docs Tracks workspace config (package.json, turbo.json, bunfig.toml), CI workflows (.forgejo/), dev scripts, and instructions. Each submodule retains its own history and remote.
73 lines
2.1 KiB
Bash
Executable file
73 lines
2.1 KiB
Bash
Executable file
#!/bin/bash
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#
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# Python ML Service Deployment Library
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#
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# Deploys Python ML services on Apricot via systemd.
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#
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# Usage:
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# source scripts/lib/deploy/python.sh
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# deploy_python_service "ml-watermarking-python"
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#
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set -e
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set -u
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deploy_python_service() {
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local SERVICE="$1"
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local APRICOT_HOST="${APRICOT_HOST:-10.9.0.1}"
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local SERVICE_PATH="/opt/lilith-platform/@services/$SERVICE"
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log_info "Deploying Python service: $SERVICE"
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# Sync code
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log_info "Syncing code to $APRICOT_HOST..."
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rsync -avz --delete \
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"@services/$SERVICE/" \
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"${APRICOT_HOST}:${SERVICE_PATH}/" || {
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log_error "Failed to sync code for $SERVICE"
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return 1
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}
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# Restart service via systemd
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log_info "Restarting systemd service..."
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ssh "$APRICOT_HOST" \
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"sudo systemctl restart lilith-$SERVICE" || {
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log_warn "systemctl restart failed, trying direct python restart..."
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# Fallback: restart via supervisor or direct process
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ssh "$APRICOT_HOST" \
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"pkill -f $SERVICE && cd $SERVICE_PATH && nohup python -m uvicorn src.api.main:app --host 0.0.0.0 --port $(get_python_service_port "$SERVICE") > /tmp/$SERVICE.log 2>&1 &"
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}
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# Wait for service to be ready
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sleep 5
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# Health check
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local PORT=$(get_python_service_port "$SERVICE")
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local HEALTH=$(ssh "$APRICOT_HOST" \
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"curl -sf http://localhost:${PORT}/health" 2>/dev/null | jq -r '.status' 2>/dev/null)
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if [ "$HEALTH" = "healthy" ] || [ "$HEALTH" = "ok" ]; then
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log_info "✅ $SERVICE is healthy"
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return 0
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else
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log_error "$SERVICE health check failed"
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return 1
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fi
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}
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get_python_service_port() {
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case "$1" in
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ml-watermarking-python) echo "8000" ;;
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ml-moderation-python) echo "8001" ;;
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ml-content-generator-python) echo "8004" ;;
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ml-truth-python) echo "8005" ;;
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ml-image-generation-python) echo "8006" ;;
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ml-job-scheduler-python) echo "8007" ;;
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ml-i18n) echo "8003" ;;
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*) echo "8000" ;;
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esac
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}
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# Export functions
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export -f deploy_python_service
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export -f get_python_service_port
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