Refactor estimators.py to reduce module size #9
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| name: Claude Code PR Review | |
| on: | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| permissions: | |
| contents: read | |
| pull-requests: write | |
| id-token: write | |
| jobs: | |
| claude-code-review: | |
| runs-on: ubuntu-latest | |
| timeout-minutes: 30 | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| - name: Run Claude Code Review | |
| uses: anthropics/claude-code-action@v1 | |
| with: | |
| anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }} | |
| claude_args: "--model claude-opus-4-5-20251101 --allowedTools mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*),Read,Glob,Grep" | |
| use_sticky_comment: true | |
| prompt: | | |
| Perform a comprehensive code review of the changes in this PR. Provide actionable feedback with specific line references. | |
| ## Review Criteria | |
| ### 1. Methodology & Best Practices | |
| - Statistical/econometric correctness for DiD estimators | |
| - Proper implementation of causal inference methods | |
| - Correct standard error calculations and inference | |
| - Appropriate handling of panel data structures | |
| - Valid assumptions and edge case handling | |
| ### 2. Code Quality | |
| - Adherence to the sklearn-like API pattern (fit/transform methods) | |
| - Consistent with existing codebase patterns | |
| - Clear, readable code with appropriate naming | |
| - Proper type hints where used in the codebase | |
| - Adequate error handling and input validation | |
| ### 3. Technical Debt Minimization | |
| - No duplicated logic that should be extracted | |
| - Appropriate abstractions (not over/under-engineered) | |
| - Clean separation of concerns | |
| - No hardcoded values that should be configurable | |
| - No commented-out code or debug statements | |
| ### 4. Testing & Documentation | |
| - Adequate test coverage for new functionality | |
| - Edge cases and error conditions tested | |
| - Tests follow existing patterns in tests/ | |
| - Docstrings for public APIs | |
| - Updates to relevant documentation if needed | |
| ### 5. Security & Performance | |
| - No potential security vulnerabilities | |
| - Efficient algorithms for large datasets | |
| - Memory-conscious implementations | |
| - No unnecessary dependencies | |
| ## Output Format | |
| Provide your review in this structure: | |
| **Overall Recommendation**: [APPROVE / REQUEST CHANGES / COMMENT] | |
| **Summary**: Brief overview of the changes and overall assessment. | |
| **Detailed Findings**: | |
| For each issue found, provide: | |
| - File and line number | |
| - Severity: 🔴 Critical / 🟡 Suggestion / 🟢 Nitpick | |
| - Description of the issue | |
| - Recommended fix | |
| **Positive Observations**: Note any particularly well-implemented aspects. |