Model konteyneri: modelni rasm ichiga solamizmi?

import pandas as pd
show(pd.DataFrame([
    {"": "Rasm hajmi", "Model ICHIDA": "Katta (model + kod)", "Model TASHQARIDA": "Kichik"},
    {"": "Ishga tushish", "Model ICHIDA": "Tez — hammasi joyida",
     "Model TASHQARIDA": "Sekin — yuklab olish kerak"},
    {"": "Model almashtirish", "Model ICHIDA": "Yangi rasm qurish kerak",
     "Model TASHQARIDA": "Faqat qayta ishga tushirish"},
    {"": "Takrorlanish", "Model ICHIDA": "To'liq — rasm = hamma narsa",
     "Model TASHQARIDA": "Qisman — registrga bog'liq"},
    {"": "Qaytarish (rollback)", "Model ICHIDA": "Eski rasmga qaytasiz",
     "Model TASHQARIDA": "Alias ko'chirasiz (23-bob)"},
    {"": "Internetsiz ishlaydimi", "Model ICHIDA": "Ha", "Model TASHQARIDA": "Yo'q"},
]))

python3 -c "
import sys, pathlib; sys.path.insert(0, 'src')
if not pathlib.Path('model.onnx').exists():
    import pandas as pd
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.model_selection import train_test_split
    from quvur.xususiyat import XUSUSIYATLAR, tayyorla
    from quvur.format import onnx_ga
    d = pd.read_csv('../datasets/ijara.csv')
    x, y = tayyorla(d), d['broker']
    Xtr, _, ytr, _ = train_test_split(x, y, test_size=0.25, stratify=y, random_state=42)
    m = RandomForestClassifier(n_estimators=150, min_samples_leaf=3,
                               random_state=42, n_jobs=1).fit(Xtr, ytr)
    onnx_ga(m, len(XUSUSIYATLAR), 'model.onnx')
    print('model.onnx yaratildi')
else:
    print('model.onnx bor')
print('hajmi:', round(pathlib.Path('model.onnx').stat().st_size/1024/1024, 1), 'MB')
"

fastapi==0.115.6
uvicorn==0.34.0
onnxruntime==1.23.2
numpy==2.2.1
pandas==2.2.3

# 1-BOSQICH: bog'liqliklarni yig'amiz
FROM python:3.11-slim AS quruvchi

WORKDIR /qurish
COPY talablar-servis.txt .
RUN pip install --no-cache-dir --target=/paketlar -r talablar-servis.txt

# 2-BOSQICH: faqat kerakligini ko'chiramiz
FROM python:3.11-slim

# xavfsizlik: root emas, oddiy foydalanuvchi
RUN useradd --create-home --uid 10001 servis

WORKDIR /app
COPY --from=quruvchi /paketlar /paketlar
ENV PYTHONPATH=/paketlar:/app/src

# kod va model (eng ko'p o'zgaradigani oxirida - 7-bob)
COPY src/ /app/src/
COPY model.onnx /app/model.onnx

USER servis
ENV MODEL_YOLI=/app/model.onnx

EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=3s --start-period=10s \
  CMD python3 -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/healthz')"

CMD ["python3", "-m", "uvicorn", "xizmat.servis:app", "--host", "0.0.0.0", "--port", "8000"]

t0=$SECONDS
docker build -q -f Dockerfile.servis -t mlops-servis:v1 . > /dev/null 2>&1
echo "qurish vaqti: $((SECONDS - t0)) s"
docker images mlops-servis:v1 --format '{{.Repository}}:{{.Tag}}  {{.Size}}'
echo ""
echo "taqqoslash uchun (7-bobdagi o'qitish rasmi):"
docker images --format '{{.Repository}}:{{.Tag}}  {{.Size}}' | grep -E "mlops-kitob" | head -2

docker rm -f kitob-servis > /dev/null 2>&1
docker run -d --name kitob-servis -p 18100:8000 mlops-servis:v1 > /dev/null 2>&1
for i in $(seq 1 40); do
  curl -s http://127.0.0.1:18100/healthz > /dev/null 2>&1 && { echo "servis ${i} soniyada tayyor"; break; }
  sleep 0.5
done
echo -n "healthz : "; curl -s http://127.0.0.1:18100/healthz
echo ""
echo -n "ready   : "; curl -s http://127.0.0.1:18100/ready
echo ""
echo -n "kim bo'lib ishlayapti: "; docker exec kitob-servis whoami

echo "=== EGA ==="
curl -s -X POST http://127.0.0.1:18100/bashorat -H "Content-Type: application/json" -d '{
  "xonalar": 2, "maydon": 55, "qavat": 3, "jami_qavat": 9, "narx_mln": 4.5,
  "tavsif_uzunligi": 600, "rasmlar_soni": 15, "telefon_takrorlanishi": 1,
  "kunlik_elonlar": 1, "egasi_tasdiqlangan": 1}'
echo ""
echo "=== BROKER ==="
curl -s -X POST http://127.0.0.1:18100/bashorat -H "Content-Type: application/json" -d '{
  "xonalar": 2, "maydon": 55, "qavat": 3, "jami_qavat": 9, "narx_mln": 4.2,
  "tavsif_uzunligi": 60, "rasmlar_soni": 2, "telefon_takrorlanishi": 18,
  "kunlik_elonlar": 9, "egasi_tasdiqlangan": 0}'
echo ""
echo "=== YOMON KIRISH ==="
curl -s -o /dev/null -w "HTTP %{http_code}\n" -X POST http://127.0.0.1:18100/bashorat \
  -H "Content-Type: application/json" -d '{"xonalar": 2, "maydon": -5}'

sleep 12
docker inspect kitob-servis --format 'holat: {{.State.Status}}  sogliq: {{.State.Health.Status}}' 2>/dev/null \
  || docker inspect kitob-servis --format 'holat: {{.State.Status}}'
echo ""
echo "oxirgi tekshiruv:"
docker inspect kitob-servis --format '{{range .State.Health.Log}}{{.ExitCode}} {{end}}' 2>/dev/null | head -1

docker rm -f kitob-servis-t > /dev/null 2>&1
docker run -d --name kitob-servis-t -p 18101:8000 \
  -v "$(pwd)/model.onnx:/modellar/model.onnx:ro" \
  -e MODEL_YOLI=/modellar/model.onnx \
  mlops-servis:v1 > /dev/null 2>&1
for i in $(seq 1 40); do
  curl -s http://127.0.0.1:18101/ready > /dev/null 2>&1 && break
  sleep 0.5
done
echo -n "tashqi model bilan ready: "; curl -s http://127.0.0.1:18101/ready
echo ""
echo "diqqat: rasm O'SHA rasm, faqat MODEL_YOLI boshqa"

docker rm -f kitob-servis kitob-servis-t > /dev/null 2>&1 && echo "konteynerlar o'chirildi"
docker ps --format '{{.Names}}' | grep -v k3d