chore(cliproxyapi-plusplus): add pyproject.toml - #1059
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| license = { text = "MIT" } | ||
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| [tool.hatch.build.targets.wheel] | ||
| packages = ["src"] |
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When the CircleCI python-check job runs uv sync --all-extras, uv installs the root project and Hatch will use this wheel target. This points at a root-relative ./src package, but the checkout has no root src directory; the Python code is elsewhere (for example sdk/python/cliproxy). In a clean CI/package build this either fails to build/install the project or produces a wheel that contains none of the intended Python package, so point packages at the real package path or mark this as a non-package project.
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| version = "0.1.0" | ||
| description = "Phenotype fleet module" | ||
| requires-python = ">=3.10" | ||
| license = { text = "MIT" } |
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In the inspected .circleci/config.yml python-check path, the image installs only uv, syncs this project with uv sync --all-extras, then runs uv run ruff, uv run mypy, and uv run pytest. This new project metadata declares no dependencies, optional extras, or dependency groups containing those tools, so in a clean executor uv run ruff cannot be spawned after the sync. Add the CI tools to a dev extra/group or run them with explicit uv run --with ... packages.
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| requires = ["hatchling"] | ||
| build-backend = "hatchling.build" | ||
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| [project] |
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WARNING: Missing dependencies in [project]
The package imports httpx (in sdk/python/cliproxy/api.py) but doesn't declare it as a runtime dependency. Without this, pip install won't bring in httpx, causing an ImportError at runtime.
Reply with @kilocode-bot fix it to have Kilo Code address this issue.
Code Review SummaryStatus: 1 Warning Found | Recommendation: Request Changes Overview
Issue Details (click to expand)WARNING
Files Reviewed (1 file)
Fix these issues in Kilo Cloud Reviewed by step-3.7-flash · Input: 87.4K · Output: 23.8K · Cached: 557.6K |
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From WBS audit.
CodeAnt-AI Description
Add standard project packaging and code-quality configuration
What Changed
Impact
✅ Installable Python package✅ Consistent Python version support✅ Earlier detection of code-quality issues💡 Usage Guide
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