204 lines
7.9 KiB
Bash
204 lines
7.9 KiB
Bash
#!/usr/bin/env bash
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# 07-rag-setup.sh — Create Vertex AI RAG Engine corpus in Serverless mode
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# Uses REST API directly — no SDK version dependency
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# RAG_REGION defaults to europe-west4 (Serverless available, no allowlist)
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# Uploads ALL docs/*.md + docs/corpus-seed/*.md to GCS on every run
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# Idempotent — safe to run multiple times
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# Source .env before running: source .env
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set -euo pipefail
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: "${PROJECT_ID:?Set PROJECT_ID}"
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: "${REGION:?Set REGION}"
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: "${RAG_CORPUS_DISPLAY_NAME:?Set RAG_CORPUS_DISPLAY_NAME}"
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# europe-west4: Serverless RAG available, no allowlist, gemini-2.0-flash + 2.5-pro present
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RAG_REGION="${RAG_REGION:-europe-west4}"
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REPO_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
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echo "=== 07: Setting up Vertex AI RAG Engine (Serverless mode) ==="
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echo " Project : ${PROJECT_ID}"
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echo " Region : ${RAG_REGION} (override with RAG_REGION= if needed)"
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echo " Corpus : ${RAG_CORPUS_DISPLAY_NAME}"
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echo ""
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bash "$(dirname "$0")/00-authcheck.sh"
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gcloud services enable aiplatform.googleapis.com \
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storage.googleapis.com \
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--project="${PROJECT_ID}" --quiet
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echo "✓ APIs enabled"
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# ── GCS bucket (idempotent) ──────────────────────────────────────────────
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CORPUS_BUCKET="${PROJECT_ID}-agent-corpus"
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if ! gsutil ls -b "gs://${CORPUS_BUCKET}" &>/dev/null; then
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gsutil mb -l "${REGION}" -b on "gs://${CORPUS_BUCKET}"
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echo "✓ GCS corpus bucket created: gs://${CORPUS_BUCKET}"
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else
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echo "✓ GCS corpus bucket exists: gs://${CORPUS_BUCKET}"
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fi
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# ── Upload docs: corpus-seed/*.md + docs/*.md (top-level only) ───────────────────
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UPLOAD_COUNT=0
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# 1. corpus-seed/ — kuraterte seed-filer
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SEED_DIR="${REPO_ROOT}/docs/corpus-seed"
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if [[ -d "${SEED_DIR}" ]] && compgen -G "${SEED_DIR}/*.md" > /dev/null 2>&1; then
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gsutil -m cp "${SEED_DIR}"/*.md "gs://${CORPUS_BUCKET}/seed/" 2>/dev/null || true
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COUNT=$(ls "${SEED_DIR}"/*.md 2>/dev/null | wc -l | tr -d ' ')
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echo "✓ corpus-seed: ${COUNT} filer lastet opp til gs://${CORPUS_BUCKET}/seed/"
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UPLOAD_COUNT=$((UPLOAD_COUNT + COUNT))
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else
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echo " Ingen filer i docs/corpus-seed/ — hopper over"
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fi
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# 2. docs/*.md — alle toppnivå docs (GCP-kunnskap, arkitektur, regler osv.)
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DOCS_DIR="${REPO_ROOT}/docs"
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if compgen -G "${DOCS_DIR}/*.md" > /dev/null 2>&1; then
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gsutil -m cp "${DOCS_DIR}"/*.md "gs://${CORPUS_BUCKET}/docs/" 2>/dev/null || true
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COUNT=$(ls "${DOCS_DIR}"/*.md 2>/dev/null | wc -l | tr -d ' ')
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echo "✓ docs/: ${COUNT} filer lastet opp til gs://${CORPUS_BUCKET}/docs/"
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UPLOAD_COUNT=$((UPLOAD_COUNT + COUNT))
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else
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echo " Ingen .md-filer i docs/ — hopper over"
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fi
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# 3. protocols/sessions/*.md — sesjonlogger (hele reisen)
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SESSIONS_DIR="${REPO_ROOT}/protocols/sessions"
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if [[ -d "${SESSIONS_DIR}" ]] && compgen -G "${SESSIONS_DIR}/*.md" > /dev/null 2>&1; then
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gsutil -m cp "${SESSIONS_DIR}"/*.md "gs://${CORPUS_BUCKET}/sessions/" 2>/dev/null || true
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COUNT=$(ls "${SESSIONS_DIR}"/*.md 2>/dev/null | wc -l | tr -d ' ')
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echo "✓ protocols/sessions/: ${COUNT} filer lastet opp til gs://${CORPUS_BUCKET}/sessions/"
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UPLOAD_COUNT=$((UPLOAD_COUNT + COUNT))
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else
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echo " Ingen sesjonlogger i protocols/sessions/ — hopper over"
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fi
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# 4. MASTERPLAN.md (rot)
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if [[ -f "${REPO_ROOT}/MASTERPLAN.md" ]]; then
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gsutil cp "${REPO_ROOT}/MASTERPLAN.md" "gs://${CORPUS_BUCKET}/" 2>/dev/null || true
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echo "✓ MASTERPLAN.md lastet opp"
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UPLOAD_COUNT=$((UPLOAD_COUNT + 1))
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fi
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echo " Totalt ${UPLOAD_COUNT} filer synkronisert til gs://${CORPUS_BUCKET}/"
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# ── REST: token + endpoint ────────────────────────────────────────────────────
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TOKEN=$(gcloud auth print-access-token)
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API="https://${RAG_REGION}-aiplatform.googleapis.com/v1beta1"
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PARENT="projects/${PROJECT_ID}/locations/${RAG_REGION}"
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echo " Sjekker om corpus finnes..."
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EXISTING=$(curl -sf -H "Authorization: Bearer ${TOKEN}" \
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"${API}/${PARENT}/ragCorpora" 2>/dev/null || echo '{}')
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CORPUS_NAME=$(echo "${EXISTING}" | python3 -c "
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import sys, json
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data = json.load(sys.stdin)
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for c in data.get('ragCorpora', []):
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if c.get('displayName') == '${RAG_CORPUS_DISPLAY_NAME}':
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print(c['name'])
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break
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" 2>/dev/null || true)
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if [[ -n "${CORPUS_NAME}" ]]; then
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echo "✓ RAG corpus finnes allerede: ${CORPUS_NAME}"
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else
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echo " Oppretter corpus '${RAG_CORPUS_DISPLAY_NAME}' i ${RAG_REGION} (Serverless/REST)..."
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RESPONSE=$(curl -sf -X POST \
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-H "Authorization: Bearer ${TOKEN}" \
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-H "Content-Type: application/json" \
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"${API}/${PARENT}/ragCorpora" \
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-d '{
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"displayName": "'"${RAG_CORPUS_DISPLAY_NAME}"'",
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"ragEmbeddingModelConfig": {
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"vertexPredictionEndpoint": {
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"publisherModel": "publishers/google/models/text-embedding-005"
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}
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},
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"ragVectorDbConfig": {
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"ragManagedDb": {}
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}
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}')
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OPERATION=$(echo "${RESPONSE}" | python3 -c "import sys,json; print(json.load(sys.stdin).get('name',''))" 2>/dev/null || true)
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if [[ -z "${OPERATION}" ]]; then
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echo "ERROR: Ingen operation returnert. Response:"
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echo "${RESPONSE}"
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exit 1
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fi
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echo " Venter på LRO: ${OPERATION}"
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for i in $(seq 1 30); do
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sleep 10
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LRO=$(curl -sf -H "Authorization: Bearer ${TOKEN}" \
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"https://${RAG_REGION}-aiplatform.googleapis.com/v1beta1/${OPERATION}" 2>/dev/null || echo '{}')
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DONE=$(echo "${LRO}" | python3 -c "import sys,json; print(json.load(sys.stdin).get('done','false'))" 2>/dev/null || echo 'false')
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if [[ "${DONE}" == "True" ]] || [[ "${DONE}" == "true" ]]; then
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CORPUS_NAME=$(echo "${LRO}" | python3 -c "
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import sys, json
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d = json.load(sys.stdin)
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print(d.get('response', {}).get('name', ''))
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" 2>/dev/null || true)
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if [[ -z "${CORPUS_NAME}" ]] || [[ "${CORPUS_NAME}" != *ragCorpora* ]]; then
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CORPUS_NAME=$(curl -sf -H "Authorization: Bearer ${TOKEN}" \
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"${API}/${PARENT}/ragCorpora" 2>/dev/null \
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| python3 -c "
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import sys, json
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data = json.load(sys.stdin)
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for c in data.get('ragCorpora', []):
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if c.get('displayName') == '${RAG_CORPUS_DISPLAY_NAME}':
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print(c['name'])
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break
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" 2>/dev/null || true)
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fi
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echo "✓ RAG corpus opprettet: ${CORPUS_NAME}"
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break
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fi
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echo " ... venter (${i}/30)"
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done
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if [[ -z "${CORPUS_NAME}" ]]; then
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echo "ERROR: Corpus-oppretting timet ut eller feilet."
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exit 1
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fi
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fi
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# ── Import alle GCS-mapper til corpus ───────────────────────────────────────────
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for GCS_PATH in "seed/" "docs/" "sessions/" ""; do
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GCS_URI="gs://${CORPUS_BUCKET}/${GCS_PATH}"
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# Sjekk at det finnes noe der
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if gsutil ls "${GCS_URI}" &>/dev/null; then
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curl -sf -X POST \
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-H "Authorization: Bearer ${TOKEN}" \
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-H "Content-Type: application/json" \
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"${API}/${CORPUS_NAME}:importRagFiles" \
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-d '{
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"importRagFilesConfig": {
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"gcsSource": { "uris": ["'"${GCS_URI}"'"] },
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"ragFileChunkingConfig": { "chunkSize": 512, "chunkOverlap": 50 }
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}
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}' &>/dev/null \
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&& echo "✓ Import trigget (async): ${GCS_URI}" \
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|| echo " ADVARSEL: Import hoppet over (ikke fatal): ${GCS_URI}"
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fi
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done
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# ── Skriv output ──────────────────────────────────────────────────────────────────
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echo "${CORPUS_NAME}" > /tmp/rag_corpus_name.txt
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echo ""
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echo " Corpus resource name : ${CORPUS_NAME}"
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echo " Region : ${RAG_REGION}"
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echo ""
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echo " ACTION REQUIRED — add to .env:"
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echo " export RAG_CORPUS_NAME=\"${CORPUS_NAME}\""
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echo " export RAG_REGION=\"${RAG_REGION}\""
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echo ""
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echo "=== 07: RAG Engine setup COMPLETE ==="
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echo " View: https://console.cloud.google.com/vertex-ai/rag?project=${PROJECT_ID}"
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echo ""
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