| # Use a stable Python with wide binary wheel support | |
| FROM python:3.11-slim | |
| ENV PYTHONDONTWRITEBYTECODE=1 \ | |
| PYTHONUNBUFFERED=1 \ | |
| PIP_NO_CACHE_DIR=1 \ | |
| PORT=8000 | |
| # System deps (just in case for wheels; slim can use these at runtime) | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| ca-certificates \ | |
| build-essential \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| # Install requirements first for better layer caching | |
| COPY requirements.txt ./ | |
| RUN pip install --upgrade pip && pip install -r requirements.txt | |
| # Copy application | |
| COPY backend ./backend | |
| COPY web ./web | |
| # Optional: allow overriding dataset URL and training sample size at runtime | |
| ENV DATASET_URL="https://raw.githubusercontent.com/JayAtria-7/SkySense-Flight-Price-Predictor/main/Clean_Dataset.csv" \ | |
| MAX_TRAIN_ROWS=25000 | |
| # Expose port | |
| EXPOSE 8000 | |
| # Healthcheck hitting API health endpoint | |
| HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \ | |
| CMD curl -fsS http://127.0.0.1:${PORT}/api/health || exit 1 | |
| # Start FastAPI with uvicorn; use platform-provided $PORT if available (e.g., Hugging Face Spaces) | |
| CMD ["sh", "-c", "uvicorn backend.main:app --host 0.0.0.0 --port ${PORT:-8000}"] | |