# Dockerfile
# This Dockerfile builds the environment for your FastAPI application on Hugging Face Spaces.

# Use a lightweight Python base image
FROM python:3.10-slim

# Create a non-root user and switch to it for security
RUN useradd -m -u 1000 user
USER user

# Set the PATH environment variable to include the user's local bin directory
# This ensures executables installed via pip (like uvicorn) are found
ENV PATH="/home/user/.local/bin:$PATH"

# Set environment variables to prevent Python from buffering stdout/stderr
ENV PYTHONUNBUFFERED 1

# IMPORTANT FIX: Set Hugging Face cache directory to a writable location
ENV HF_HOME=/app/hf_cache

# Copy requirements.txt and install dependencies
# This step is done separately to leverage Docker's layer caching
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy the rest of your application code into the container
# This includes app.py, translate_api.py, __init__.py, etc.
COPY --chown=user . /app

# Expose the port that the FastAPI application will listen on
EXPOSE 7860

# --- MODIFIED CMD COMMAND ---
# Explicitly add the current working directory to PYTHONPATH
# Then run uvicorn. This helps ensure Python finds 'translation_api' module.
CMD ["bash", "-c", "PYTHONPATH=/app:$PYTHONPATH uvicorn app:app --host 0.0.0.0 --port 7860"]