feat(docker): add python3 + data-analysis libs to bash image#65
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mani-muon wants to merge 1 commit into
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feat(docker): add python3 + data-analysis libs to bash image#65mani-muon wants to merge 1 commit into
mani-muon wants to merge 1 commit into
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LLM-generated bash scripts overwhelmingly invoke python3 (often with numpy/pandas/matplotlib) for any arithmetic, parsing, or plotting work. Without an interpreter in the bash image these calls return command not found or ModuleNotFoundError. Adds python3, python3-numpy, python3-pandas, python3-matplotlib, python3-openpyxl, python3-pil via apt to cover the common LLM-generated patterns. Apt-installed versions keep the rebuild fast and the dependency surface stable; scripts that need bleeding-edge versions can still target lang: py. Image size increases roughly 400 MB but matches the expected shape of a shell + scripting sandbox.
aron-muon
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We have dedicated python images, if an LLM is using the wrong tool, the prompting needs updated instead
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Introduced fix in this PR #66 |
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Summary
Adds
python3plus the common data-analysis libraries (numpy/pandas/matplotlib/openpyxl/Pillow) to the bash image sobash_toolcalls of the formpython3 -c "..."resolve successfully.Fixes # (no existing issue — happy to file one if preferred)
Type of change
Why
After deploying the bash image, LLM-driven
bash_toolcalls were observed invokingpython3(often withimport pandas,numpy,matplotlib) for arithmetic, parsing, and plotting. Without a Python interpreter in the bash image these calls returncommand not found, and with only stdlib Python they would returnModuleNotFoundErroron the firstimport.Package selection
Apt-installed for fast rebuilds and stable deps:
python3— interpreterpython3-numpy,python3-pandas,python3-matplotlib— the data-analysis trio observed in LLM-generated scriptspython3-openpyxl— Excel read/writepython3-pil— image manipulationSkipped scipy and scikit-learn (each ~150-300 MB, narrower use cases). Easy follow-up to add if needed.
The dedicated
kubecoderun-pythonimage with the full pip-managed scientific stack still serveslang: "py"callers that need bleeding-edge versions.Image size impact
Roughly +400 MB.
How Has This Been Tested?
dhi.ioregistry auth which I don't have. CI build will catch any typo immediately.scripts/test-images.sh -l bashafter the build) — depends on CIChecklist