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jr-sql-ai/scripts/update.sh

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#!/usr/bin/env bash
set -euo pipefail
ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
# shellcheck disable=SC1090
source "${ROOT}/.env"
ts(){ date -Is; }
log_dir="${ROOT}/logs"
mkdir -p "$log_dir"
log_file="${log_dir}/update-$(date -Iseconds).log"
# log everything (stdout+stderr)
exec > >(tee -a "$log_file") 2>&1
echo "[$(ts)] update: starting (ROOT=$ROOT)"
echo "[$(ts)] update: pulling docker image(s)"
docker compose -f "${ROOT}/docker-compose.yml" pull
echo "[$(ts)] update: restarting services"
docker compose -f "${ROOT}/docker-compose.yml" up -d
echo "[$(ts)] update: waiting for Ollama API at ${OLLAMA_URL} ..."
for i in {1..120}; do
if curl -sS "${OLLAMA_URL}/api/tags" >/dev/null 2>&1; then
echo "[$(ts)] update: Ollama API is up."
break
fi
if [[ $i -eq 120 ]]; then
echo "[$(ts)] update: ERROR: API did not come up in time."
exit 1
fi
sleep 1
done
echo "[$(ts)] update: pulling base model: ${BASE_MODEL}"
docker exec -it ollama ollama pull "${BASE_MODEL}"
if [[ -n "${EXTRA_MODELS:-}" ]]; then
for m in ${EXTRA_MODELS}; do
echo "[$(ts)] update: pulling extra model: $m"
docker exec -it ollama ollama pull "$m"
done
fi
echo "[$(ts)] update: rebuilding expert model: ${EXPERT_MODEL}"
tmp="$(mktemp)"
sed "s/\${BASE_MODEL}/${BASE_MODEL}/g" "${ROOT}/Modelfile" > "$tmp"
docker cp "$tmp" ollama:/tmp/Modelfile.jr-sql-expert
docker exec -it ollama ollama create "${EXPERT_MODEL}" -f /tmp/Modelfile.jr-sql-expert
rm -f "$tmp"
echo "[$(ts)] update: verifying model exists..."
docker exec -it ollama ollama list | grep -F "${EXPERT_MODEL}" >/dev/null && \
echo "[$(ts)] update: OK: ${EXPERT_MODEL} is available."
echo "[$(ts)] update: complete"