You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
97 lines
4.9 KiB
97 lines
4.9 KiB
This Dockerfile sets up a Python environment with numerous libraries for various applications,
|
|
including web frameworks, machine learning tools, and data manipulation. Here are some observations
|
|
and suggestions:
|
|
|
|
*** Key Points:
|
|
1. *Base Image*: Uses an official Python 3.11 slim image.
|
|
2. *Environment Variables*: Commented out variables ~PYTHONDONTWRITEBYTECODE~ and
|
|
~PYTHONUNBUFFERED~.
|
|
3. *Working Directory*: Sets ~/opt/swarms/~ as the working directory.
|
|
4. *System Updates*: Installs essential packages like ~git~, ~python3-virtualenv~, ~expect~, and
|
|
others using ~apt~.
|
|
5. *User Management*: Creates a user ~swarms~ and sets up permissions.
|
|
6. *Python Virtual Environment*: Sets up a Python virtual environment for the user.
|
|
7. *Pip Installations*:
|
|
- Installs multiple libraries including FastAPI, SQLAlchemy, PyTorch, Pillow, etc.
|
|
- Some packages are commented out and not installed, such as ~triton~ and ~torch~.
|
|
8. *Git Configuration*: Configures Git to allow operations in the ~/opt/swarms/~ directory.
|
|
9. *Copy Files*: Copies application files into the container.
|
|
10. *Command*: Runs Uvicorn with specific configurations.
|
|
|
|
*** Suggestions:
|
|
|
|
1. *Minimize Package Installation*:
|
|
- Consider removing or commenting out unused packages.
|
|
- Install only necessary versions of packages.
|
|
|
|
2. *Environment Variables*:
|
|
- Uncomment ~PYTHONDONTWRITEBYTECODE~ and ~PYTHONUNBUFFERED~ if needed for performance
|
|
optimization.
|
|
|
|
3. *User Management*:
|
|
- Ensure that the user ~swarms~ has all necessary permissions to avoid potential issues.
|
|
|
|
4. *Virtual Environment*:
|
|
- Consider using a more lightweight virtual environment tool like ~venv~ or ~conda~ if
|
|
performance is an issue.
|
|
|
|
5. *Caching*:
|
|
- Use ~.dockerignore~ to exclude unnecessary files from the build context.
|
|
- Utilize Docker's caching mechanism by keeping similar install commands together.
|
|
|
|
6. *Security*:
|
|
- Ensure that all installed packages are up-to-date and do not contain known vulnerabilities.
|
|
- Consider using a security scanner for Docker images.
|
|
|
|
7. *Command Execution*:
|
|
- If ~unbuffer~ is used to avoid buffering, ensure it's available or remove if not necessary.
|
|
|
|
*** Example of Refactored Dockerfile:
|
|
#+BEGIN_SRC dockerfile
|
|
# Use an official Python runtime as a parent image
|
|
FROM python:3.11-slim
|
|
|
|
# Set environment variables
|
|
ENV PYTHONDONTWRITEBYTECODE 1
|
|
ENV PYTHONUNBUFFERED 1
|
|
|
|
WORKDIR /opt/swarms/
|
|
|
|
# Update system packages
|
|
RUN apt update && apt install -y git python3-virtualenv expect jq netcat-traditional
|
|
|
|
# Install Python dependencies
|
|
RUN mkdir -p /var/swarms/agent_workspace/
|
|
RUN adduser --disabled-password --gecos "" swarms --home "/home/swarms"
|
|
RUN chown -R swarms:swarms /var/swarms/agent_workspace
|
|
USER swarms
|
|
RUN python3 -m venv /var/swarms/agent_workspace/.venv/
|
|
|
|
# Upgrade pip and install essential packages
|
|
RUN /var/swarms/agent_workspace/.venv/bin/python -m pip install --upgrade pip
|
|
RUN /var/swarms/agent_workspace/.venv/bin/python -m pip install aiofiles aiohappyeyeballs aiosignal frozenlist aiohttp attrs annotated-types anyio sniffio typing_extensions asyncio multidict propcache yarl idna certifi chardet charset-normalizer click dataclasses-json marshmallow typing-inspect distro docstring_parser filelock fastapi starlette pydantic pydantic_core GPUtil Jinja2 MarkupSafe PyYAML Pygments SQLAlchemy fsspec greenlet h11 httpcore httpx huggingface-hub importlib_metadata iniconfig jiter jsonpatch jsonpointer jsonschema-specifications jsonschema langchain-community langchain-core langsmith numpy orjson requests-toolbelt tenacity loguru lxml markdown-it-py mdurl mpmath msgpack multiprocess mypy-protobuf networkx ollama openai pathos pathspec platformdirs pluggy pox ppft protobuf psutil pytesseract pytest python-dateutil python-docx python-dotenv python-magic pytz ratelimit referencing regex reportlab requests rich rpds-py safetensors sentry-sdk six sympy termcolor tiktoken tokenizers toml tqdm types-chardet types-protobuf types-pytz types-toml tzdata urllib3 uvicorn zipp
|
|
|
|
# Set up Git configuration
|
|
RUN git config --global --add safe.directory "/opt/swarms"
|
|
|
|
# Copy application files and install dependencies
|
|
COPY swarms /opt/swarms/swarms
|
|
COPY pyproject.toml /opt/swarms/
|
|
COPY README.md /opt/swarms/
|
|
RUN /var/swarms/agent_workspace/.venv/bin/python -m pip install -e /opt/swarms/
|
|
|
|
# Add main.py file
|
|
COPY api/main.py /opt/swarms/api/main.py
|
|
|
|
WORKDIR /opt/swarms/api/
|
|
CMD ["unbuffer", "/var/swarms/agent_workspace/.venv/bin/uvicorn", "--proxy-headers", "--forwarded-allow-ips='*'", "--workers=4", "--port=8000", "--reload-delay=30", "main:create_app"]
|
|
#+END_SRC
|
|
|
|
*** Additional Tips:
|
|
- *Layer Optimization*: Ensure that frequently changing files (like ~api/main.py~) are placed in
|
|
separate layers to take advantage of Docker's caching.
|
|
- *Security Scans*: Run security scans on the final Docker image using tools like Trivy or Clair.
|
|
|
|
By following these suggestions, you can optimize your Dockerfile for better performance and
|
|
maintainability.
|