fix(gpu-health): scripts 호출 도구를 host curl + container IP 로 통일
OCR/STT 컨테이너 안에 curl 미설치 (slim python image). docker exec curl 표준은 실측 OCI exec 실패. host curl + docker bridge IP (172.20.0.x) 로 변경 — host publish 추가 아니라 docker network 내부 검증이라 보안 표면 동일. reranker 만 curl 있고 OCR/marker/STT 는 python 만 있어 분기 발생을 회피. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Hyungi Ahn
@@ -1,26 +1,37 @@
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#!/usr/bin/env bash
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# GPU 미디어/검색 서비스 health/ready/smoke 점검 (PR-GPU-Health-1).
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# OCR/STT/reranker 는 expose-only 라 docker exec 내부 curl 표준 경로 사용.
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# marker 는 ports 매핑이 있지만 일관성을 위해 동일 패턴.
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# OCR/STT 는 expose-only (host publish 없음). docker bridge IP 로 호스트에서 직접 호출 —
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# host publish 추가 아니라 docker network 내부 검증 (보안 표면 동일).
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set -uo pipefail
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OCR=hyungi_document_server-ocr-service-1
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MARKER=hyungi_document_server-marker-service-1
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RERANKER=hyungi_document_server-reranker-1
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STT=hyungi_document_server-stt-service-1
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OLLAMA=ollama
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PASS=0
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FAIL=0
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container_ip() {
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docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' "$1" 2>/dev/null
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}
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vram() {
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nvidia-smi --query-gpu=memory.used,memory.free --format=csv,noheader,nounits 2>/dev/null \
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| awk -F',' '{printf "used=%dMiB free=%dMiB\n", $1, $2}'
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}
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probe() {
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local label="$1" container="$2" path="$3" timeout="${4:-5}"
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local label="$1" container="$2" port="$3" path="$4" timeout="${5:-5}"
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local ip=$(container_ip "$container")
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printf " %-22s " "$label"
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if out=$(docker exec "$container" curl -fsS -m "$timeout" "$path" 2>&1); then
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if [[ -z "$ip" ]]; then
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echo "FAIL (container IP 없음)"
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FAIL=$((FAIL+1))
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return
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fi
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if out=$(curl -fsS -m "$timeout" "http://$ip:$port$path" 2>&1); then
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echo "OK $(echo "$out" | head -c 120)"
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PASS=$((PASS+1))
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else
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@@ -30,9 +41,15 @@ probe() {
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}
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probe_post() {
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local label="$1" container="$2" url="$3" body="$4" timeout="${5:-30}" expect="${6:-}"
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local label="$1" container="$2" port="$3" path="$4" body="$5" timeout="${6:-30}" expect="${7:-}"
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local ip=$(container_ip "$container")
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printf " %-22s " "$label"
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if out=$(docker exec "$container" curl -fsS -m "$timeout" -H 'Content-Type: application/json' -X POST -d "$body" "$url" 2>&1); then
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if [[ -z "$ip" ]]; then
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echo "FAIL (container IP 없음)"
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FAIL=$((FAIL+1))
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return
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fi
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if out=$(curl -fsS -m "$timeout" -H 'Content-Type: application/json' -X POST -d "$body" "http://$ip:$port$path" 2>&1); then
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if [[ -z "$expect" || "$out" == *"$expect"* ]]; then
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echo "OK $(echo "$out" | head -c 100)"
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PASS=$((PASS+1))
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@@ -51,18 +68,18 @@ BASE=$(vram); echo " $BASE"
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echo
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echo "=== health / ready ==="
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probe "OCR /health" "$OCR" "http://127.0.0.1:3200/health" 5
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probe "OCR /ready" "$OCR" "http://127.0.0.1:3200/ready" 5
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probe "marker /health" "$MARKER" "http://127.0.0.1:3300/health" 5
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probe "marker /ready" "$MARKER" "http://127.0.0.1:3300/ready" 5
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probe "reranker /health" "$RERANKER" "http://127.0.0.1:80/health" 5
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probe "stt /health" "$STT" "http://127.0.0.1:3300/health" 5
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probe "stt /ready" "$STT" "http://127.0.0.1:3300/ready" 5
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probe "OCR /health" "$OCR" 3200 "/health" 5
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probe "OCR /ready" "$OCR" 3200 "/ready" 5
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probe "marker /health" "$MARKER" 3300 "/health" 5
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probe "marker /ready" "$MARKER" 3300 "/ready" 5
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probe "reranker /health" "$RERANKER" 80 "/health" 5
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probe "stt /health" "$STT" 3300 "/health" 5
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probe "stt /ready" "$STT" 3300 "/ready" 5
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echo
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echo "=== smoke ==="
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probe "OCR /smoke" "$OCR" "http://127.0.0.1:3200/smoke" 30
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probe_post "bge-m3 embed" "$OCR" "http://ollama:11434/api/embeddings" '{"model":"bge-m3","prompt":"smoke test"}' 30 '"embedding"'
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probe "OCR /smoke" "$OCR" 3200 "/smoke" 30
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probe_post "bge-m3 embed" "$OLLAMA" 11434 "/api/embeddings" '{"model":"bge-m3","prompt":"smoke test"}' 30 '"embedding"'
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echo
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echo "=== nvidia-smi after ==="
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+19
-22
@@ -1,12 +1,14 @@
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#!/usr/bin/env bash
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# synthetic fixture 기반 GPU VRAM 피크 검증 (PR-GPU-Health-1).
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# Mode A (sequential) + Mode B (light overlap) 기본. --stress 옵션은 5개 동시 (기본 gate 미포함).
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# Mode A (sequential) + Mode B (light overlap) 기본. --stress (5 concurrent) 옵션.
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# 호출은 호스트 curl + container IP (docker bridge 내부, host publish 추가 아님).
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set -uo pipefail
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OCR=hyungi_document_server-ocr-service-1
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MARKER=hyungi_document_server-marker-service-1
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RERANKER=hyungi_document_server-reranker-1
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STT=hyungi_document_server-stt-service-1
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OLLAMA=ollama
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REPO_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
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FIX="$REPO_ROOT/tests/load/fixtures"
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@@ -16,6 +18,10 @@ mkdir -p "$REPO_ROOT/reports"
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STRESS_MODE=0
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[[ "${1:-}" == "--stress" ]] && STRESS_MODE=1
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container_ip() {
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docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' "$1" 2>/dev/null
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}
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vram() {
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nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits 2>/dev/null | head -1 | tr -d ' '
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}
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@@ -26,29 +32,20 @@ copy_fixtures() {
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docker cp "$FIX/sine_30s.wav" $STT:/tmp/sine_30s.wav >/dev/null
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}
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call_ocr() {
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docker exec "$OCR" curl -fsS -m 60 -X POST -H 'Content-Type: application/json' \
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-d '{"filePath":"/tmp/ocr_ok.png"}' http://127.0.0.1:3200/ocr >/dev/null
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}
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call_marker() {
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docker exec "$MARKER" curl -fsS -m 180 -X POST -H 'Content-Type: application/json' \
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-d '{"file_path":"/tmp/lorem_1p.pdf"}' http://127.0.0.1:3300/convert >/dev/null
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}
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call_stt() {
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docker exec "$STT" curl -fsS -m 180 -X POST -H 'Content-Type: application/json' \
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-d '{"filePath":"/tmp/sine_30s.wav","langs":["en"],"beamSize":1}' http://127.0.0.1:3300/transcribe >/dev/null
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}
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call_rerank() {
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docker exec "$RERANKER" curl -fsS -m 30 -X POST -H 'Content-Type: application/json' \
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-d '{"query":"smoke","texts":["foo bar baz","alpha beta gamma"]}' http://127.0.0.1:80/rerank >/dev/null
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}
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call_embed() {
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docker exec "$OCR" curl -fsS -m 30 -X POST -H 'Content-Type: application/json' \
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-d '{"model":"bge-m3","prompt":"smoke test"}' http://ollama:11434/api/embeddings >/dev/null
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}
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OCR_IP=$(container_ip $OCR)
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MARKER_IP=$(container_ip $MARKER)
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RERANKER_IP=$(container_ip $RERANKER)
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STT_IP=$(container_ip $STT)
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OLLAMA_IP=$(container_ip $OLLAMA)
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call_ocr() { curl -fsS -m 60 -X POST -H 'Content-Type: application/json' -d '{"filePath":"/tmp/ocr_ok.png"}' "http://$OCR_IP:3200/ocr" >/dev/null; }
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call_marker() { curl -fsS -m 180 -X POST -H 'Content-Type: application/json' -d '{"file_path":"/tmp/lorem_1p.pdf"}' "http://$MARKER_IP:3300/convert" >/dev/null; }
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call_stt() { curl -fsS -m 180 -X POST -H 'Content-Type: application/json' -d '{"filePath":"/tmp/sine_30s.wav","langs":["en"],"beamSize":1}' "http://$STT_IP:3300/transcribe" >/dev/null; }
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call_rerank() { curl -fsS -m 30 -X POST -H 'Content-Type: application/json' -d '{"query":"smoke","texts":["foo bar baz","alpha beta gamma"]}' "http://$RERANKER_IP:80/rerank" >/dev/null; }
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call_embed() { curl -fsS -m 30 -X POST -H 'Content-Type: application/json' -d '{"model":"bge-m3","prompt":"smoke test"}' "http://$OLLAMA_IP:11434/api/embeddings" >/dev/null; }
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run_named() {
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local name="$1"; local fn="$2"
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local name="$1" fn="$2"
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local before=$(vram)
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if $fn; then status="OK"; else status="FAIL"; fi
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local after=$(vram)
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