slim dockerfile

services/our/Dockerfile

@@ -1,19 +1,72 @@
-FROM node:22
+# === Build stage ===
+FROM node:22 AS builder
 
 # Set working directory
 WORKDIR /app
 
-# Install system-level dependencies
+# Install system-level dependencies required only for building
-RUN apt-get update -y && \
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+    --mount=type=cache,target=/var/lib/apt,sharing=locked \
+    apt-get update -y && \
     apt-get install -y --no-install-recommends \
         build-essential \
         git \
         inotify-tools \
+    && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+# Copy and install dependencies
+COPY package.json package-lock.json ./
+RUN npm install --ignore-scripts=false --foreground-scripts --verbose
+
+# Copy Prisma schema and generate client
+COPY prisma ./prisma
+RUN npx prisma generate
+
+# Copy the rest of the code
+COPY . .
+
+# Build the app
+RUN npm run build
+
+
+# === Python pytorch ultralytics stage ===
+FROM python:3 AS pystuff
+
+WORKDIR /app
+
+# Create a virtual environment for Python deps
+# we use this venv to transfer built artifacts between Docker image layers
+RUN python -m venv /app/venv
+ENV PATH="/app/venv/bin:$PATH"
+RUN . /app/venv/bin/activate
+
+# COPY requirements.txt .
+
+# Install python deps
+RUN --mount=type=cache,target=/root/.cache/uv \
+    python3 -m pip install uv && \
+    uv pip install torch --index-url https://download.pytorch.org/whl/cpu && \
+    uv pip install ultralytics --no-deps && \
+    uv pip install vcsi
+    
+# we are avoiding installing using requirements.txt file because doing so with ultralytics would install 7GB worth of unecessary dependencies.
+
+
+# === Runtime stage ===
+FROM node:22-slim
+
+# Set working directory
+WORKDIR /app
+ENV PATH="/app/venv/bin:$PATH"
+
+# Install only runtime dependencies
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+    --mount=type=cache,target=/var/lib/apt,sharing=locked \
+    apt-get update -y && \
+    apt-get install -y --no-install-recommends \
+        ca-certificates \
         ffmpeg \
-        mktorrent \
+        wget \
-        python3 \
-        python3-pip \
-        python3-venv \
     && apt-get clean && rm -rf /var/lib/apt/lists/*
 
 # Install Shaka Packager
@@ -39,26 +92,12 @@ ENV LD_LIBRARY_PATH="/app/whisper.cpp/build/src:/app/whisper.cpp/build/ggml/src:
 # Install b2-cli
 RUN wget https://github.com/Backblaze/B2_Command_Line_Tool/releases/download/v4.4.1/b2-linux -O /usr/local/bin/b2 && chmod +x /usr/local/bin/b2
 
-# Copy and install dependencies
+# Copy runtime artifacts from builder
-COPY package.json package-lock.json ./
+COPY --from=builder /app/dist ./dist
-RUN --mount=type=cache,target=/root/.npm npm install --ignore-scripts=false --foreground-scripts --verbose
+COPY --from=builder /app/node_modules ./node_modules
-
+COPY --from=builder /app/package.json ./package.json
-# Copy Prisma schema and generate client
+COPY --from=builder /app/prisma ./prisma
-COPY prisma ./prisma
+COPY --from=pystuff /app/venv /app/venv
-RUN npx prisma generate
-
-# Copy the rest of the code
-COPY . .
-
-# Build the app
-RUN npm run build
-
-# Setup Python virtualenv
-RUN python3 -m venv /app/venv
-ENV PATH="/app/venv/bin:$PATH"
-
-# Install python deps
-RUN ./venv/bin/pip install --no-cache-dir -r requirements.txt
 
 # Expose the port
 EXPOSE 5000

services/our/package.json

@@ -1,7 +1,7 @@
 {
 	"name": "futureporn-our",
 	"private": true,
-	"version": "2.8.1",
+	"version": "2.8.2",
 	"type": "module",
 	"scripts": {
 		"dev": "concurrently npm:dev:serve npm:dev:build:server npm:dev:build:client npm:dev:worker npm:dev:compose npm:dev:sftp npm:dev:qbittorrent npm:dev:tailscale",