# RecipesCam API — self-contained build (context = this folder).
# Builder compiles TypeScript; runtime carries production deps only.
FROM node:22-slim AS builder
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci
COPY tsconfig.json ./
COPY src ./src
RUN npm run build && npm prune --omit=dev
# onnxruntime-node ships every platform's runtime, and 260MB of it is the CUDA /
# TensorRT providers this container (CPU inference, no GPU) never loads. The
# bindings for the other two operating systems go the same way; both Linux
# architectures stay so the image can still be built for an ARM host.
RUN rm -rf node_modules/onnxruntime-node/bin/napi-v6/darwin \
           node_modules/onnxruntime-node/bin/napi-v6/win32 \
           node_modules/onnxruntime-node/bin/napi-v6/linux/x64/libonnxruntime_providers_cuda.so \
           node_modules/onnxruntime-node/bin/napi-v6/linux/x64/libonnxruntime_providers_tensorrt.so

FROM node:22-slim
ENV NODE_ENV=production \
    PORT=3000 \
    DATA_DIR=/data \
    INPAINT_MODEL_PATH=/app/models/lama_fp32.onnx
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/dist ./dist
COPY package.json ./
COPY models ./models
RUN ln -sf /app/models /models
EXPOSE 3000
CMD ["node", "dist/server.js"]