FastAPI_Neo4j / Dockerfile
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Create Dockerfile
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# Use a recent, slim Python base image
FROM python:3.10-slim
# Set the working directory in the container
WORKDIR /app
# Prevent Python from writing pyc files to disc (optional but good practice)
ENV PYTHONDONTWRITEBYTECODE 1
# Ensure Python output is sent straight to terminal (useful for logs)
ENV PYTHONUNBUFFERED 1
# Upgrade pip
RUN python -m pip install --upgrade pip
# Copy the requirements file into the container
# This file should list all necessary Python packages for the project.
COPY requirements.txt .
# Install dependencies
# --no-cache-dir reduces image size, beneficial for smaller final images.
# --default-timeout=100 increases timeout for pip install (can be adjusted if needed).
RUN pip install --no-cache-dir --default-timeout=100 -r requirements.txt
# Copy the application code into the container
# This assumes your FastAPI application is in a file named 'main.py'.
COPY api.py .
# If you had other local modules or directories part of your project (e.g., a 'core' or 'utils' folder),
# you would add more COPY lines here, like:
# COPY ./your_module_directory ./your_module_directory
# Expose the port the app runs on.
# This should match the port Uvicorn is configured to use in the CMD instruction.
EXPOSE 7860
# Command to run the Uvicorn server
# It will look for an ASGI application instance named 'app' in the 'main.py' file.
# Runs on port 7860 and listens on all available network interfaces (0.0.0.0).
# Note: For production environments, ensure --reload is NOT used as it's for development.
CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "7860"]