Dockerfile.backend

# Use the official Python base image
FROM python:3.9-slim

# Set the working directory in the container
WORKDIR /app

# Copy the requirements file into the container
COPY requirements.txt .

# Install the required Python packages
RUN pip install --no-cache-dir -r requirements.txt

# Copy the entire backend project into the container
COPY ./backend .

# Expose the port that FastAPI runs on
EXPOSE 8000

# Set environment variables for the FastAPI app
ENV PYTHONUNBUFFERED=1

ENV BINANCE_API_KEY="FN6iy8IhLMbDR3kVEYp1ZqsN6lj0fZXFRQaRZeJsWuLz6Is7DkVvyb70fwPGDY3B"
ENV DATABASE_URL="postgresql://trading_db_av2v_user:210M6MA9QKEEgVdiasnUdMQDBNN417oy@dpg-cpqojbqj1k6c73bkqq3g-a.oregon-postgres.render.com/trading_db_av2v"
ENV PYCOPG_DATABASE_URL = "postgresql+psycopg2://trading_db_av2v_user:210M6MA9QKEEgVdiasnUdMQDBNN417oy@dpg-cpqojbqj1k6c73bkqq3g-a.oregon-postgres.render.com/trading_db_av2v"
ENV DB_USERNAME='group3'
ENV DB_PASSWORD='group3@week9'
ENV DB_HOST='g3.10academy.org'
ENV DB_PORT=5432
ENV DB_DATABASE='backtest'
ENV AWS_DATABASE_URL="postgresql+psycopg2://group3:group3%40week9@g3.10academy.org/backtest"

# Run the FastAPI app with Uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]