AI SummaryA Cursor-integrated coding standard guide for the Dingo SDK that enforces PEP 8 conventions, type hints, and proper lazy-import patterns for optional dependencies. Developers building with or contributing to Dingo benefit from consistent, maintainable Python code patterns.
Install
# Install Cursor rule to .cursor/rules/ mkdir -p .cursor/rules && curl --retry 3 --retry-delay 2 --retry-all-errors -o .cursor/rules/python-conventions.mdc "https://raw.githubusercontent.com/MigoXLab/dingo/main/.cursor/rules/python-conventions.mdc"
Run in your IDE terminal (bash). On Windows, use Git Bash, WSL, or your IDE's built-in terminal. If curl fails with an SSL error, your network may block raw.githubusercontent.com — try using a VPN or download the files directly from the source repo.
Description
Python coding conventions for the Dingo SDK
Code Style
• Follow PEP 8 (enforced by pre-commit hooks) • Use type hints for function signatures • Use @classmethod for evaluator eval() methods • Prefer getattr(obj, 'field', default) over direct attribute access for optional Data fields
Import Rules
• Core deps (numpy, pydantic, requests, etc.): top-level imports OK • Optional deps (pyarrow, transformers, boto3, sqlalchemy, cv2, fasttext, etc.): must use lazy imports inside methods with clear ImportError messages: `python
Correct — lazy import with helpful error
def load_data(self): try: import pyarrow.parquet as pq except ImportError: raise ImportError("pyarrow is required for Parquet support. Install: pip install dingo-python[parquet]")
Wrong — top-level import of optional dep
import pyarrow.parquet as pq `
Quality Score
Good
85/100
Trust & Transparency
Open Source — Apache-2.0
Source code publicly auditable
Verified Open Source
Hosted on GitHub — publicly auditable
Actively Maintained
Last commit 2d ago
658 stars — Growing Community
67 forks
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