38cdacbcb6
<!-- .github/pull_request_template.md --> ## Description Resolve Gemini Adapter issues: 1. resolve embedding batch issue, 2. Resolve slowness because gemini tokenizer was sending word per word to Googles API to count tokens (using OpenAI's local tokenizer to count tokens for Gemini now) 3. Update deprecated library and move to instructor ## Type of Change <!-- Please check the relevant option --> - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Code refactoring - [ ] Performance improvement - [ ] Other (please specify): ## Pre-submission Checklist <!-- Please check all boxes that apply before submitting your PR --> - [ ] **I have tested my changes thoroughly before submitting this PR** - [ ] **This PR contains minimal changes necessary to address the issue/feature** - [ ] My code follows the project's coding standards and style guidelines - [ ] I have added tests that prove my fix is effective or that my feature works - [ ] I have added necessary documentation (if applicable) - [ ] All new and existing tests pass - [ ] I have searched existing PRs to ensure this change hasn't been submitted already - [ ] I have linked any relevant issues in the description - [ ] My commits have clear and descriptive messages ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin.
68 lines
2 KiB
Docker
68 lines
2 KiB
Docker
# Use a Python image with uv pre-installed
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
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# Install the project into `/app`
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WORKDIR /app
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# Enable bytecode compilation
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# ENV UV_COMPILE_BYTECODE=1
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# Copy from the cache instead of linking since it's a mounted volume
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ENV UV_LINK_MODE=copy
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# Set build argument
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ARG DEBUG
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# Set environment variable based on the build argument
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ENV DEBUG=${DEBUG}
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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libpq-dev \
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git \
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curl \
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clang \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Copy pyproject.toml and lockfile first for better caching
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COPY README.md pyproject.toml uv.lock entrypoint.sh ./
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# Install the project's dependencies using the lockfile and settings
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --extra debug --extra api --extra postgres --extra neo4j --extra llama-index --extra ollama --extra mistral --extra groq --extra anthropic --frozen --no-install-project --no-dev --no-editable
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# Copy Alembic configuration
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COPY alembic.ini /app/alembic.ini
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COPY alembic/ /app/alembic
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# Then, add the rest of the project source code and install it
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# Installing separately from its dependencies allows optimal layer caching
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COPY ./cognee /app/cognee
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COPY ./distributed /app/distributed
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --extra debug --extra api --extra postgres --extra neo4j --extra llama-index --extra ollama --extra mistral --extra groq --extra anthropic --frozen --no-dev --no-editable
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FROM python:3.12-slim-bookworm
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RUN apt-get update && apt-get install -y \
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libpq5 \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY --from=uv /app /app
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# COPY --from=uv /app/.venv /app/.venv
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# COPY --from=uv /root/.local /root/.local
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RUN chmod +x /app/entrypoint.sh
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# Place executables in the environment at the front of the path
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ENV PATH="/app/.venv/bin:$PATH"
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ENV PYTHONPATH=/app
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# ENV LOG_LEVEL=ERROR
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ENV PYTHONUNBUFFERED=1
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ENTRYPOINT ["/app/entrypoint.sh"]
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