mirror of
https://github.com/zebrajr/privateGPT.git
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65c5a1708b
* `UID` and `GID` build arguments for `worker` user * `POETRY_EXTRAS` build argument with default values * Copy `Makefile` for `make ingest` command * Do NOT copy markdown files I doubt anyone reads a markdown file within a Docker image * Fix PYTHONPATH value * Set home directory to `/home/worker` when creating user * Combine `ENV` instructions together * Define environment variables with their defaults - For documentation purposes - Reflect defaults set in settings-docker.yml * `PGPT_EMBEDDING_MODE` to define embedding mode * Remove ineffective `python3 -m pipx ensurepath` * Use `&&` instead of `;` to chain commands to detect failure better * Add `--no-root` flag to poetry install commands * Set PGPT_PROFILES to docker * chore: remove envs * chore: update to use ollama in docker-compose * chore: don't copy makefile * chore: don't copy fern * fix: tiktoken cache * fix: docker compose port * fix: ffmpy dependency (#2020) * fix: ffmpy dependency * fix: block ffmpy to commit sha * feat(llm): autopull ollama models (#2019) * chore: update ollama (llm) * feat: allow to autopull ollama models * fix: mypy * chore: install always ollama client * refactor: check connection and pull ollama method to utils * docs: update ollama config with autopulling info ... * chore: autopull ollama models * chore: add GID/UID comment ... --------- Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>
51 lines
1.5 KiB
Docker
51 lines
1.5 KiB
Docker
FROM python:3.11.6-slim-bookworm as base
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# Install poetry
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RUN pip install pipx
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RUN pipx install poetry
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ENV PATH="/root/.local/bin:$PATH"
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ENV PATH=".venv/bin/:$PATH"
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# https://python-poetry.org/docs/configuration/#virtualenvsin-project
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ENV POETRY_VIRTUALENVS_IN_PROJECT=true
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FROM base as dependencies
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WORKDIR /home/worker/app
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COPY pyproject.toml poetry.lock ./
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ARG POETRY_EXTRAS="ui vector-stores-qdrant llms-ollama embeddings-ollama"
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RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
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FROM base as app
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ENV PYTHONUNBUFFERED=1
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ENV PORT=8080
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ENV APP_ENV=prod
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ENV PYTHONPATH="$PYTHONPATH:/home/worker/app/private_gpt/"
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EXPOSE 8080
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# Prepare a non-root user
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# More info about how to configure UIDs and GIDs in Docker:
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# https://github.com/systemd/systemd/blob/main/docs/UIDS-GIDS.md
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# Define the User ID (UID) for the non-root user
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# UID 100 is chosen to avoid conflicts with existing system users
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ARG UID=100
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# Define the Group ID (GID) for the non-root user
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# GID 65534 is often used for the 'nogroup' or 'nobody' group
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ARG GID=65534
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RUN adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker
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WORKDIR /home/worker/app
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RUN chown worker /home/worker/app
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RUN mkdir local_data && chown worker local_data
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RUN mkdir models && chown worker models
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COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv
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COPY --chown=worker private_gpt/ private_gpt
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COPY --chown=worker *.yaml .
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COPY --chown=worker scripts/ scripts
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USER worker
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ENTRYPOINT python -m private_gpt
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