feat: Add AE Framework integration documentation and API (closes #46) #47
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- Created comprehensive AE Framework integration guide - Added API reference documentation with Python examples - Created repository structure documentation - Added quick start guide for 5-minute integration - Implemented Python API module (req2run/api.py) This addresses all issues raised in #46: ✅ Clear repository structure documentation ✅ Problem definition schema location clarified ✅ Multiple integration methods documented ✅ Environment setup instructions provided ✅ Problem discovery API implemented Key additions: - docs/AE_FRAMEWORK_INTEGRATION.md: Complete integration guide - docs/API_REFERENCE.md: API documentation with examples - docs/REPOSITORY_STRUCTURE.md: Repository layout and conventions - docs/AE_FRAMEWORK_QUICKSTART.md: 5-minute quick start - req2run/api.py: Python API implementation The AE Framework can now easily integrate with req2run-benchmark using the provided documentation and API. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Pull Request Overview
This PR provides comprehensive integration documentation and a Python API for AE Framework integration with Req2Run Benchmark, addressing issue #46. The changes enable seamless discovery and usage of benchmark problems through standardized interfaces.
Key changes include:
- Addition of a complete Python API module for programmatic access to benchmark problems
- Comprehensive documentation covering integration methods, repository structure, and API reference
- Bilingual (English/Japanese) documentation for broader accessibility
Reviewed Changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| req2run/api.py | New Python API module providing programmatic access to problems with validation and export capabilities |
| docs/REPOSITORY_STRUCTURE.md | Complete repository structure documentation with file naming conventions and directory explanations |
| docs/API_REFERENCE.md | Comprehensive API documentation with usage examples and CLI command reference |
| docs/AE_FRAMEWORK_QUICKSTART.md | Quick start guide for 5-minute integration setup with common troubleshooting |
| docs/AE_FRAMEWORK_INTEGRATION.md | Detailed integration guide with multiple integration methods and complete code examples |
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| # Validate ID format | ||
| if 'id' in problem: | ||
| import re |
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The import re statement should be moved to the top of the file with other imports to follow Python import conventions (PEP 8).
| import re |
| with open(output_file, 'w', encoding='utf-8') as f: | ||
| yaml.dump(problems, f, allow_unicode=True) | ||
| elif format == 'csv': | ||
| import csv |
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The import csv statement should be moved to the top of the file with other imports to follow Python import conventions (PEP 8).
| import csv |
| 'path': str(problem_file) | ||
| }) | ||
| except Exception as e: | ||
| print(f"Warning: Failed to load {problem_file}: {e}") |
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Using print() for warnings is not ideal in a library/API module. Consider using the logging module or raising an exception that callers can handle appropriately.
| print(f"Warning: Failed to load {problem_file}: {e}") | |
| logging.warning(f"Failed to load %s: %s", problem_file, e) |
| self._cache[problem_id] = problem | ||
| return problem | ||
| except Exception as e: | ||
| print(f"Error loading problem {problem_id}: {e}") |
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Using print() for error messages is not ideal in a library/API module. Consider using the logging module or raising an exception that callers can handle appropriately.
| print(f"Error loading problem {problem_id}: {e}") | |
| logging.error(f"Error loading problem {problem_id}: {e}") |
| self._schema = yaml.safe_load(f) | ||
| return self._schema | ||
| except Exception as e: | ||
| print(f"Error loading schema: {e}") |
There was a problem hiding this comment.
Using print() for error messages is not ideal in a library/API module. Consider using the logging module or raising an exception that callers can handle appropriately.
| print(f"Error loading schema: {e}") | |
| logging.error(f"Error loading schema: {e}") |
ootakazuhiko
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ootakazuhiko
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Reviewing PR before merge. The CI failures appear to be infrastructure-related and not caused by this documentation and API addition.
Summary
This PR addresses all integration issues raised by the AE Framework team in #46, providing comprehensive documentation and a Python API for seamless integration.
Changes
📚 Comprehensive Integration Guide (
docs/AE_FRAMEWORK_INTEGRATION.md)📖 API Reference Documentation (
docs/API_REFERENCE.md)🗂️ Repository Structure Documentation (
docs/REPOSITORY_STRUCTURE.md)🚀 Quick Start Guide (
docs/AE_FRAMEWORK_QUICKSTART.md)🔧 Python API Implementation (
req2run/api.py)Req2RunAPIclass with full functionalityAddresses Issue #46 Requirements
✅ Repository Structure Documentation - Complete directory structure with explanations
✅ Problem Definition Schema - Location clearly documented (
problems/schema/problem-schema.yaml)✅ Integration Method Clarity - Three methods documented with examples
✅ Environment Setup - Clear instructions for
REQ2RUN_BENCHMARK_REPOvariableTest Plan
Impact
Related Issues
For AE Framework Team
The integration is now straightforward:
REQ2RUN_BENCHMARK_REPOenvironment variableAll problems are discoverable, the schema is documented, and multiple integration methods are available.
🤖 Generated with Claude Code