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docker with FAISS

.dockerignore

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+# Python
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+.env
+*.log
+
+# Docker
+Dockerfile
+docker-compose.yml
+.dockerignore
+
+# Git
+.git
+.gitignore
+
+# IDE
+.vscode/
+.idea/
+
+# Face data (will be mounted as volume)
+*.pkl
+*.faiss
+data/
+
+# Others
+README.md
+*.md
+tests/
+.pytest_cache/

Dockerfile

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+# Use Python 3.11 slim as base image
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    cmake \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    libsm6 \
+    libxext6 \
+    libxrender-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create directory for face data persistence
+RUN mkdir -p /app/data
+
+# Expose port
+EXPOSE 8000
+
+# Command to run the application
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

docker-compose.yml

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+version: '3.8'
+
+services:
+  face-recognition-api:
+    build: .
+    container_name: face-recognition-api
+    ports:
+      - "8000:8000"
+    volumes:
+      - ./data:/app/data  # For persisting face data
+    environment:
+      - PYTHONUNBUFFERED=1
+      - MAX_WORKERS=4
+      - FACE_DETECTION_SIZE=640
+      - SIMILARITY_THRESHOLD=0.6
+    deploy:
+      resources:
+        limits:
+          cpus: '2'
+          memory: 4G
+        reservations:
+          cpus: '1'
+          memory: 2G
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 40s
+
+networks:
+  default:
+    driver: bridge