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Pre-install common Python packages in workspace venv and warm Docker cache

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Install httpx, fastapi, uvicorn, requests, flask, pydantic, numpy, pandas,
matplotlib, pillow, jinja2, pyyaml and more on workspace creation. Also
pre-warm uv cache in Dockerfile so first project setup is near-instant.
uv's global cache (~/.cache/uv/) is shared across all project venvs.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Fam Zheng
2026-03-02 09:19:48 +00:00
parent 0a8eee0285
commit 728ab2e8fd
2 changed files with 3 additions and 0 deletions
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@@ -13,6 +13,8 @@ RUN curl -LsSf https://astral.sh/uv/install.sh | sh
ENV PATH="/root/.local/bin:$PATH"
RUN uv venv --python 3.12 /app/venv && uv pip install --python /app/venv/bin/python sentence-transformers
RUN /app/venv/bin/python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
# Pre-warm uv cache with common packages (shared across all project venvs)
RUN uv pip install --python /app/venv/bin/python httpx fastapi uvicorn requests flask pydantic numpy pandas matplotlib pillow jinja2 pyyaml python-dotenv beautifulsoup4 lxml aiohttp aiofiles pytest rich click typer sqlalchemy
RUN mkdir -p /app/data/workspaces
WORKDIR /app
COPY target/aarch64-unknown-linux-musl/release/tori .