Containerize fraud detection consumer - full Docker integration

- Added consumer/Dockerfile with all dependencies
- Updated consumer pipeline.py to use environment variables
- Updated features.py and decision.py to support env var configuration
- Updated docker-compose.yml to include consumer service
- Consumer now runs automatically with 'docker compose up'
- Proper Kafka and Redis networking for Docker
- Environment variables for ML_MODELS_DIR, KAFKA_BROKER, REDIS_HOST/PORT

Now entire PayGuard system runs with: docker compose up -d

Co-authored-by: Copilot <[email protected]>

consumer/Dockerfile

@@ -0,0 +1,29 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements from root
+COPY requirements.txt /tmp/
+
+# Copy models module (includes __init__.py with class definitions and .pkl files)
+COPY models /app/ml_models
+
+# Copy consumer code
+COPY consumer/ /app/
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r /tmp/requirements.txt
+
+# Set environment for Docker network and models location
+ENV KAFKA_BROKER=kafka:29092
+ENV REDIS_URL=redis://redis:6379
+ENV ML_MODELS_DIR=/app/ml_models
+ENV PYTHONPATH=/app:/app/ml_models
+
+# Run the consumer pipeline
+CMD ["python3", "pipeline.py"]