EVOTECH IT SRL
af0ec4a150
- docs/ARCHITECTURE.md (7 diagrame Mermaid) + architecture.html + diagrame originale (offer_diagram_1..7.png) - artefacte_lot1/imagini_docker: imagini pre-construite pt toate cele 13 module (la zi) - documentatie: Contract de furnizare nr.19 - optimizări deploy.sh/seed (MODELS_DIR, fix download python3); .gitignore (modele/.env/PV-uri excluse)
298 lines
20 KiB
Bash
Executable file
298 lines
20 KiB
Bash
Executable file
#!/usr/bin/env bash
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# =============================================================================
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# DiDi LOT 1 — deploy progresiv „cărămidă cu cărămidă".
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# Pentru fiecare componentă: build/pull + download → seed (dacă e cazul) →
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# TEST funcțional → doar dacă testul TRECE corect → trece la următoarea.
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# Idempotent. STOP la primul test picat.
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#
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# ./deploy.sh # tot, de la preflight la dashboard
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# ./deploy.sh --from web # sare peste cărămizile dinainte de 'web'
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# ./deploy.sh --only llm # rulează o singură cărămidă (presupune deps up)
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# =============================================================================
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set -uo pipefail
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cd "$(dirname "$0")"
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HERE=$(pwd)
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export COMPOSE_PROJECT_NAME=local_gpu_stack
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COMPOSE="${HERE}/docker-compose.yml"
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ENV_FILE="${HERE}/.env"
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MODULES="${HERE}/../modules"
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DASH_DIR="${MODULES}/dashboard/deploy"
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GW_DIR="${MODULES}/gateway/deploy"
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BRAIN_DIR="${MODULES}/didi_brain"
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ASSETS="${HERE}/test_assets"
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source "${HERE}/lib.sh"
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source "${HERE}/seed/seed_catalog.sh"
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source "${HERE}/seed/seed_brain.sh"
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# ---- .env -------------------------------------------------------------------
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[ -f "$ENV_FILE" ] || { cp "${HERE}/.env.example" "$ENV_FILE"; info ".env creat din .env.example"; }
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set -a; source "$ENV_FILE"; set +a
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# auto-detect HOST_IP daca e gol (si scrie-l inapoi in .env pt interpolarea compose)
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if [ -z "${HOST_IP:-}" ]; then
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HOST_IP=$(hostname -I 2>/dev/null | awk '{print $1}')
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[ -z "$HOST_IP" ] && HOST_IP=$(ip -4 route get 1.1.1.1 2>/dev/null | awk '{for(i=1;i<=NF;i++)if($i=="src")print $(i+1)}')
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[ -n "$HOST_IP" ] && { sed -i "s#^HOST_IP=.*#HOST_IP=${HOST_IP}#" "$ENV_FILE"; info "HOST_IP detectat automat: ${HOST_IP}"; }
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fi
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export HOST_IP
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H="${HOST_IP:-127.0.0.1}"
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# MODELS_DIR: zona locala unica pentru TOATE modelele (default: ai_platform/models)
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if [ -z "${MODELS_DIR:-}" ]; then
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MODELS_DIR="$(cd "${HERE}/.." && pwd)/models"
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sed -i "s#^MODELS_DIR=.*#MODELS_DIR=${MODELS_DIR}#" "$ENV_FILE"
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info "MODELS_DIR: ${MODELS_DIR}"
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fi
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mkdir -p "$MODELS_DIR"; export MODELS_DIR
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# ---- arg parsing ------------------------------------------------------------
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FROM=""; ONLY=""; INSTALL_DEPS=0
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while [ $# -gt 0 ]; do case "$1" in
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--from) FROM=$2; shift 2;; --only) ONLY=$2; shift 2;;
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--install-deps) INSTALL_DEPS=1; shift;;
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*) die "argument necunoscut: $1";; esac; done
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SKIP=0; [ -n "$FROM" ] && SKIP=1
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should_run(){ # $1 = brick name
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[ -n "$ONLY" ] && { [ "$ONLY" = "$1" ]; return; }
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[ "$SKIP" = 1 ] && { [ "$FROM" = "$1" ] && SKIP=0; }
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[ "$SKIP" = 0 ]
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}
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# =============================================================================
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# PREFLIGHT (verifică + instruiește; nu instalează)
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# =============================================================================
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# =============================================================================
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# INSTALL DEPS (optional, --install-deps; necesita sudo; Ubuntu/Debian)
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# =============================================================================
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install_deps() {
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brick "INSTALL DEPS — Docker + NVIDIA Container Toolkit (sudo)"
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command -v sudo >/dev/null || die "sudo necesar pentru --install-deps"
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if ! command -v docker >/dev/null; then
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info "instalez Docker Engine..."; curl -fsSL https://get.docker.com | sudo sh || die "instalare Docker a picat"
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sudo usermod -aG docker "$USER" || true
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warn "Adăugat în grupul docker — poate fi nevoie de re-login pentru ca 'docker' să meargă fără sudo."
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else ok "Docker prezent"; fi
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if ! docker info 2>/dev/null | grep -qiE 'nvidia|cdi' && ! sudo docker info 2>/dev/null | grep -qiE 'nvidia|cdi'; then
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info "instalez nvidia-container-toolkit..."
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curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
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curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
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| sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
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| sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list >/dev/null
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sudo apt-get update -y && sudo apt-get install -y nvidia-container-toolkit || die "instalare toolkit a picat"
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sudo nvidia-ctk runtime configure --runtime=docker && sudo systemctl restart docker
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ok "nvidia-container-toolkit instalat & Docker reconfigurat"
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else ok "NVIDIA runtime prezent"; fi
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command -v nvidia-smi >/dev/null || warn "Driver NVIDIA lipsește — instalează manual (ex: sudo ubuntu-drivers install) și REBOOT, apoi re-rulează deploy.sh."
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}
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preflight() {
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brick "PREFLIGHT — unelte & GPU"
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command -v docker >/dev/null || die "Docker lipsește. Instalează: https://docs.docker.com/engine/install/ubuntu/"
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if ! docker ps >/dev/null 2>&1; then
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[ "$USE_SG" = 1 ] && warn "rulez docker prin 'sg docker' (userul nu e în grupul docker activ)" \
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|| die "Nu pot accesa Docker. Adaugă userul în grup: sudo usermod -aG docker \$USER (apoi re-login)"
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fi
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docker compose version >/dev/null 2>&1 || die "Docker Compose v2 lipsește (plugin 'docker compose')."
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command -v nvidia-smi >/dev/null || die "nvidia-smi lipsește — instalează driverul NVIDIA (>=535) + CUDA."
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local ngpu; ngpu=$(nvidia-smi --query-gpu=name --format=csv,noheader 2>/dev/null | wc -l)
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[ "$ngpu" -ge 1 ] || die "Niciun GPU detectat de nvidia-smi."
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if ! docker info 2>/dev/null | grep -qiE 'nvidia|cdi'; then
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die "Runtime-ul NVIDIA pt Docker lipsește. Instalează nvidia-container-toolkit:
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https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html
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apoi: sudo nvidia-ctk runtime configure --runtime=docker && sudo systemctl restart docker"
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fi
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command -v curl >/dev/null || die "curl lipsește (apt-get install -y curl)."
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command -v python3 >/dev/null || die "python3 lipsește."
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local freeg; freeg=$(df -BG --output=avail / | tail -1 | tr -dc '0-9')
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[ "${freeg:-0}" -ge 80 ] || warn "Doar ${freeg}G liberi pe / — Qwen are ~72GB. Recomandat >100G."
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ok "Docker $(docker --version | grep -oE '[0-9]+\.[0-9]+\.[0-9]+' | head -1) · ${ngpu} GPU · ${freeg}G liberi"
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}
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# =============================================================================
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# NETWORK
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# =============================================================================
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ensure_network() {
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brick "REȚEA — didi-network (una singură, partajată)"
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if docker network inspect didi-network >/dev/null 2>&1; then ok "didi-network există"
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else docker network create didi-network >/dev/null && ok "didi-network creată"; fi
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}
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# =============================================================================
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# BUILD images (app) + PULL (vLLM/searxng)
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# =============================================================================
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build_images() {
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brick "BUILD — imagini aplicație"
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local m
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declare -A MAP=(
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[llm-inference]=didiai-llm-inference [embeddings]=didiai-embeddings [rerank]=didiai-rerank
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[audio]=didiai-audio [video-analysis]=didiai-video-analysis [extractors]=didiai-extractors
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[web]=didiai-web [catalog-api]=didiai-catalog-api )
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for m in "${!MAP[@]}"; do
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printf ' build %-16s ' "$m"
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if docker build -q -t "${MAP[$m]}:audit" -f "${MODULES}/$m/deploy/Dockerfile" "${MODULES}/$m" >/tmp/build_$m.log 2>&1; then ok "ok"
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else err "FAIL"; tail -15 /tmp/build_$m.log | sed 's/^/ /'; die "build $m a picat"; fi
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done
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# forensic (layout non-standard: Dockerfile la root)
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printf ' build %-16s ' "forensic"
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if docker build -q -t didiai-forensic:audit -f "${MODULES}/forensic_features/Dockerfile" "${MODULES}/forensic_features" >/tmp/build_forensic.log 2>&1; then ok "ok"
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else err "FAIL"; tail -15 /tmp/build_forensic.log | sed 's/^/ /'; die "build forensic a picat"; fi
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gate "imagini prezente" bash -c 'docker images --format "{{.Repository}}" | grep -q didiai-llm-inference'
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}
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pull_images() {
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brick "PULL — runtime-uri vLLM + SearXNG"
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local img
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for img in vllm/vllm-openai:v0.8.5 vllm/vllm-openai:qwen3_5 docker.io/searxng/searxng:latest; do
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printf ' pull %-34s ' "$img"
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if docker image inspect "$img" >/dev/null 2>&1; then ok "deja prezent"
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elif docker pull -q "$img" >/dev/null 2>&1; then ok "ok"
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else die "pull $img a picat (verifică rețeaua / Docker Hub)"; fi
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done
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}
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# =============================================================================
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# PRE-DOWNLOAD modele (cu progres)
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# =============================================================================
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predownload_models() {
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brick "DOWNLOAD — modele în MODELS_DIR (offline-first, un folder per model)"
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mkdir -p "${MODELS_DIR}"
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# mini-script de download (evită iadul de ghilimele prin sg docker)
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local dl="${HERE}/.dl_model.py"
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printf 'import os\nfrom huggingface_hub import snapshot_download\nsnapshot_download(os.environ["REPO"])\nprint("OK", os.environ["REPO"])\n' > "$dl"
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# repo HF -> subfolder cache (models--<org>--<name>)
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local repo cache
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for repo in "$BUSTER_MODEL" "$LLM_MODEL" "$EMB_MODEL" "$RERANK_MODEL" "$WHISPER_REPO" "$NER_MODEL" "$NER_BACKBONE"; do
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cache="models--$(printf '%s' "$repo" | sed 's#/#--#')"
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if [ -d "${MODELS_DIR}/${cache}/snapshots" ]; then
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ok "prezent local: ${repo}"
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else
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info "download: ${repo}"
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docker run --rm -e HF_HOME=/c -e "REPO=${repo}" \
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-v "${MODELS_DIR}:/c/hub" -v "${dl}:/dl.py" \
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--entrypoint python3 vllm/vllm-openai:qwen3_5 /dl.py \
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|| die "download ${repo} a picat."
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ok "${repo} descărcat"
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fi
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done
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rm -f "$dl"
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ok "Toate modelele sunt în ${MODELS_DIR}"
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}
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# =============================================================================
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# TEST helpers (output corect, nu doar 200)
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# =============================================================================
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t_embeddings(){ post_json "http://$H:14100/v1/embeddings" '{"model":"bge-m3","input":"test"}' 20 | python3 -c 'import sys,json;v=json.load(sys.stdin)["data"][0]["embedding"];assert len(v)==1024;print(f"dim={len(v)}")'; }
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t_rerank(){ post_json "http://$H:14200/v1/rerank" '{"model":"bge-reranker-v2-m3","query":"deepfake detection","documents":["o pisica","sistem detectie deepfake video"]}' 20 | python3 -c 'import sys,json;r=json.load(sys.stdin)["results"];assert r[0]["index"]==1;print("top_idx=%d score=%.3f"%(r[0]["index"],r[0]["relevance_score"]))'; }
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t_llm(){ post_json "http://$H:14011/v1/chat/completions" '{"model":"qwen3.5","messages":[{"role":"user","content":"Spune un singur cuvant: salut"}],"max_tokens":20}' 90 | python3 -c 'import sys,json;c=json.load(sys.stdin)["choices"][0]["message"]["content"].strip();assert c and not c.lower().startswith("thinking");print(repr(c[:40]))'; }
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t_audio(){ curl -s -m120 "http://$H:54300/v1/audio/transcriptions" -F "file=@${ASSETS}/audio.wav" -F "model=${WHISPER_MODEL}" | python3 -c 'import sys,json;t=json.load(sys.stdin)["text"].strip();assert len(t)>0;print(f"text[:40]={t[:40]!r}")'; }
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t_video(){ curl -s -m180 "http://$H:54600/analyze/video" -F "file=@${ASSETS}/sample.mp4" | python3 -c 'import sys,json;d=json.load(sys.stdin);assert d["verdict"] in ("REAL","FAKE","UNCERTAIN");print("verdict=%s frames=%s"%(d["verdict"],d.get("frames_analyzed")))'; }
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t_ner(){ post_json "http://$H:54400/v1/ner" '{"text":"Klaus Iohannis s-a intalnit cu Emmanuel Macron la Bucuresti."}' 60 | python3 -c 'import sys,json;e=json.load(sys.stdin)["results"]["entities"];assert len(e)>=2;print(f"entities={len(e)}")'; }
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t_detect(){ curl -s -m90 "http://$H:54400/v1/detect" -F "file=@${ASSETS}/frame.jpg" | python3 -c 'import sys,json;d=json.load(sys.stdin)["results"]["detections"];assert len(d)>=1;print(f"objects={len(d)}")'; }
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t_metadata(){ curl -s -m40 "http://$H:54400/v1/metadata" -F "file=@${ASSETS}/sample.mp4" | python3 -c 'import sys,json;d=json.load(sys.stdin);assert d["analyses"]["integrity"]["ok"];print("integrity ok")'; }
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t_sentiment(){ post_json "http://$H:54400/v1/sentiment" '{"text":"Produsul este excelent, sunt foarte multumit!"}' 60 | python3 -c 'import sys,json;d=json.load(sys.stdin);assert d["ok"];print("label=%s"%d["results"].get("label"))'; }
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t_forensic(){ curl -s -m15 "http://$H:8085/api/forensic-modules" | python3 -c 'import sys,json;m=json.load(sys.stdin)["available_modules"];assert len(m)>=3;print(f"modules={len(m)}")'; }
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t_web(){ post_json "http://$H:51100/v1/search" '{"queries":["deepfake detection"],"max_results":3}' 40 | python3 -c 'import sys,json;r=json.load(sys.stdin)["results"];assert len(r)>0;print(f"results={len(r)}")'; }
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t_catalog(){ curl -s -m15 "http://$H:11000/catalog/v1/status" -H "Authorization: Bearer ${GATEWAY_API_TOKEN}" | python3 -c 'import sys,json;d=json.load(sys.stdin);assert d["status"]=="healthy";print("catalog healthy")'; }
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t_gateway(){ local a b; a=$(curl -s -m10 -o /dev/null -w '%{http_code}' "http://$H:11000/health"); b=$(curl -s -m10 -o /dev/null -w '%{http_code}' "http://$H:11000/web/v1/info"); [ "$a" = 200 ] && [ "$b" = 401 ] && echo "health=200 noauth=401" || { echo "health=$a noauth=$b (astept 200/401)"; return 1; }; }
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t_brain(){ curl -s -m15 "http://$H:8090/v1/analysis_atom/stats/extended" | python3 -c 'import sys,json;json.load(sys.stdin);print("stats ok")' && post_json "http://$H:8090/v1/search" '{"queries":["deepfake"],"max_results":2}' 30 | python3 -c 'import sys,json;assert "results" in json.load(sys.stdin);print("search ok")'; }
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t_dashboard(){ curl -s -m15 "http://$H:51300/api/monitoring/services" | python3 -c 'import sys,json;d=json.load(sys.stdin);s=d if isinstance(d,list) else d.get("services",[]);h=sum(x.get("status")=="healthy" for x in s);assert h==len(s) and h>=11,f"{h}/{len(s)}";print(f"{h}/{len(s)} healthy")'; }
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prepare_assets() {
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mkdir -p "$ASSETS"
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[ -f "${ASSETS}/sample.mp4" ] || cp "$(find ${HERE}/../../artefacte_lot1/runs_deepfake -iname '*.mp4' -printf '%s\t%p\n' | sort -n | head -1 | cut -f2)" "${ASSETS}/sample.mp4"
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if [ ! -f "${ASSETS}/frame.jpg" ] || [ ! -f "${ASSETS}/audio.wav" ]; then
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docker cp "${ASSETS}/sample.mp4" didiAI-extractors:/tmp/s.mp4 >/dev/null
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docker exec didiAI-extractors sh -c 'ffmpeg -y -i /tmp/s.mp4 -frames:v 1 /tmp/frame.jpg -vn -ar 16000 -ac 1 -t 8 /tmp/audio.wav' >/dev/null 2>&1
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docker cp didiAI-extractors:/tmp/frame.jpg "${ASSETS}/frame.jpg" >/dev/null
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docker cp didiAI-extractors:/tmp/audio.wav "${ASSETS}/audio.wav" >/dev/null
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fi
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}
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# =============================================================================
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# CĂRĂMIZI (fiecare: up dependențe → health → test → gate)
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# =============================================================================
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brick_embeddings(){ brick "EMBEDDINGS (bge-m3)"; dc up -d vllm-embeddings embeddings-api
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wait_health "http://$H:14100/health" 180 "embeddings-api" || die "embeddings-api nu pornește"; gate "embeddings dim 1024" t_embeddings; }
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brick_rerank(){ brick "RERANK (bge-reranker-v2-m3)"; dc up -d vllm-rerank rerank-api
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wait_health "http://$H:14200/health" 180 "rerank-api" || die "rerank-api nu pornește"; gate "rerank ranking" t_rerank; }
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brick_llm(){ brick "LLM (Qwen3.5-35B-A3B)"; dc up -d vllm-qwen llm-api
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wait_health "http://$H:14001/v1/models" 900 "vLLM Qwen (load+compile)" || die "vLLM Qwen nu pornește"
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wait_health "http://$H:14011/health" 60 "llm-api" || die "llm-api nu pornește"; gate "LLM output curat" t_llm; }
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brick_extractors(){ brick "EXTRACTORS (NER/YOLO/metadata/OCR/sentiment)"; dc up -d extractors
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wait_health "http://$H:54400/health" 120 "extractors" || die "extractors nu pornește"
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prepare_assets
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gate "metadata" t_metadata; gate "NER (GLiNER)" t_ner; gate "detect (YOLO)" t_detect; gate "sentiment (LLM)" t_sentiment; }
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brick_audio(){ brick "AUDIO (Whisper large-v3-turbo)"; dc up -d audio-api
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wait_health "http://$H:54300/health" 240 "audio (download model)" || die "audio nu pornește"; gate "transcriere" t_audio; }
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brick_video(){ brick "VIDEO / BusterX++ (deepfake)"; dc up -d vllm-buster video-api
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wait_health "http://$H:54500/health" 300 "vLLM BusterX" || die "vLLM BusterX nu pornește"
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wait_health "http://$H:54600/health" 60 "video-api" || die "video-api nu pornește"; gate "verdict deepfake" t_video; }
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brick_forensic(){ brick "FORENSIC (rPPG/lip-sync/forgery/lighting)"; dc up -d forensic
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wait_health "http://$H:8085/health" 120 "forensic" || die "forensic nu pornește"; gate "module forensice" t_forensic; }
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brick_web(){ brick "WEB + SearXNG (căutare)"
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# curăță o instanță searxng pornită manual (docker run) ca s-o preia compose
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if docker inspect didiAI-web-searxng >/dev/null 2>&1 && \
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[ -z "$(docker inspect didiAI-web-searxng --format '{{ index .Config.Labels "com.docker.compose.project" }}' 2>/dev/null)" ]; then
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docker rm -f didiAI-web-searxng >/dev/null 2>&1 || true
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fi
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dc up -d searxng web-api
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wait_health "http://$H:51100/health" 120 "web-api" || die "web-api nu pornește"
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sleep 8; gate "căutare web" t_web; }
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brick_catalog(){ brick "CATALOG (service discovery)"; dc up -d catalog-api
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sleep 6; } # health-ul agregat depinde de gateway; testat după gateway
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brick_gateway(){ brick "GATEWAY (nginx + auth)"
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( cd "$GW_DIR"; grep -q . .env 2>/dev/null || echo "GATEWAY_API_TOKEN=${GATEWAY_API_TOKEN}" > .env; docker compose up -d )
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wait_health "http://$H:11000/health" 60 "gateway" || die "gateway nu pornește"
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gate "gateway auth+rutare" t_gateway; gate "catalog agregat" t_catalog; }
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brick_brain(){ brick "BRAIN (RAG + fact-check + cache)"
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# render env din master, up postgres+atomic, aliniază parola, token, taxonomie, up api+scheduler
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brain_write_env "$POSTGRES_PASSWORD" "${ATOMIC_TOKEN:-PLACEHOLDER}"
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( cd "$BRAIN_DIR"; docker compose -f infra/docker-compose.yml up -d postgres atomic-server )
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wait_health "http://$H:8088/health" 120 "atomic-server" || warn "atomic health întârzie"
|
|
brain_align_pg "$POSTGRES_PASSWORD"
|
|
local tok; tok=$(brain_ensure_token "$POSTGRES_PASSWORD" "${ATOMIC_TOKEN:-}")
|
|
[ -n "$tok" ] || die "nu am putut crea tokenul atomic"
|
|
if [ "$tok" != "${ATOMIC_TOKEN:-}" ]; then
|
|
sed -i "s#^ATOMIC_TOKEN=.*#ATOMIC_TOKEN=${tok}#" "$ENV_FILE"; ATOMIC_TOKEN="$tok"; ok "token atomic creat & salvat în .env"
|
|
fi
|
|
brain_write_env "$POSTGRES_PASSWORD" "$tok"
|
|
( cd "$BRAIN_DIR"; docker compose -f infra/docker-compose.yml up -d brain-api scheduler )
|
|
wait_health "http://$H:8090/health" 120 "brain-api" || die "brain-api nu pornește"
|
|
brain_seed_taxonomy
|
|
( cd "$BRAIN_DIR"; docker compose -f infra/docker-compose.yml restart brain-api scheduler ) >/dev/null
|
|
wait_health "http://$H:8090/health" 60 "brain-api (post-seed)" || die "brain-api nu revine"
|
|
gate "brain stats+search" t_brain; }
|
|
brick_dashboard(){ brick "DASHBOARD (UI + monitorizare)"
|
|
( cd "$DASH_DIR"
|
|
cat > .env <<EOF
|
|
DASHBOARD_DB_USER=${DASHBOARD_DB_USER}
|
|
DASHBOARD_DB_PASSWORD=${DASHBOARD_DB_PASSWORD}
|
|
DASHBOARD_DB_NAME=${DASHBOARD_DB_NAME}
|
|
DASHBOARD_EXTERNAL_URL=http://${H}:51300
|
|
DASHBOARD_STAGING_MODE=${DASHBOARD_STAGING_MODE}
|
|
VITE_STAGING_MODE=${DASHBOARD_STAGING_MODE}
|
|
DASHBOARD_LLM_API_URL=http://didiAI-llm-api:14011
|
|
DASHBOARD_EMBEDDINGS_HEALTH_URL=http://didiAI-embeddings-api:14100/health
|
|
DASHBOARD_RERANK_HEALTH_URL=http://didiAI-rerank-api:14200/health
|
|
DASHBOARD_AUDIO_HEALTH_URL=http://didiAI-audio:54300/v1/info
|
|
DASHBOARD_VIDEO_HEALTH_URL=http://didiAI-video-api:54600/v1/info
|
|
DASHBOARD_EXTRACTORS_HEALTH_URL=http://didiAI-extractors:54400/health
|
|
DASHBOARD_FORENSIC_HEALTH_URL=http://didiAI-forensic:8080/health
|
|
DASHBOARD_WEB_HEALTH_URL=http://didiAI-web-api:51100/v1/info
|
|
EOF
|
|
docker compose --profile dashboard up -d --build )
|
|
wait_health "http://$H:51300/health" 120 "dashboard" || die "dashboard nu pornește"
|
|
seed_catalog
|
|
sleep 5; gate "dashboard 11/11 healthy" t_dashboard; }
|
|
|
|
# =============================================================================
|
|
# RUN
|
|
# =============================================================================
|
|
[ "$INSTALL_DEPS" = 1 ] && install_deps
|
|
if [ -z "$ONLY" ]; then preflight; ensure_network; build_images; pull_images; predownload_models; fi
|
|
for b in embeddings rerank llm extractors audio video forensic web catalog gateway brain dashboard; do
|
|
should_run "$b" && "brick_$b"
|
|
done
|
|
|
|
brick "GATA"
|
|
ok "Toate cărămizile au trecut testele. Dashboard: http://${H}:51300/admin-ai/"
|
|
echo "Smoke-test complet: vezi ${HERE}/TESTING.md"
|