Changelog๏
Changelog๏
All notable changes to the Kipu API Python library will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
[0.0.2] - 2026-01-19๏
Added๏
๐ SECURITY.md: Comprehensive security documentation for HIPAA compliance
๐งช V4 Authentication Tests: Added tests for SHA256 authentication (API v4)
โ Enhanced Test Coverage: Added 3 new tests for V3/V4 authentication verification
Changed๏
๐ Documentation Improvements:
Fixed syntax error in README.md code example
Simplified kipu/README.md to avoid duplication
Enhanced auth.py docstrings to clarify V3 (SHA1) and V4 (SHA256) support
๐ Security Enhancements: Added explicit SSL verification in HTTP client
Fixed๏
๐ Test Fixes: Added missing version parameter to all KipuAuth test initializations
[0.0.1] - 2025-01-19๏
Added๏
๐ Initial release of the Kipu API Python library
โ Complete implementation of all 80+ Kipu API V3 endpoints
๐ HMAC SHA1 authentication with automatic signature generation
๐ Automatic JSON flattening to pandas DataFrames using recursive algorithm
โก Async/await support for high-performance API calls
๐ก๏ธ Comprehensive error handling with custom exception hierarchy
๐ Full type hints for better IDE support and development experience
๐ Flexible response format (raw JSON or flattened DataFrames)
๐ฆ PyPI package distribution with proper metadata
๐งช Complete test suite with validation
๐ Comprehensive documentation and examples
๐ฅ๏ธ Command-line interface (CLI) for testing and utilities
๐ฅ Healthcare-focused API coverage including:
Patient management (CRUD operations)
Medical records (vital signs, allergies, assessments)
Appointments and scheduling
Evaluations and forms
User and provider management
Administrative functions
Insurance and billing
Group sessions and care teams
Security๏
๐ Secure HMAC SHA1 signature generation
๐ก๏ธ Proper handling of sensitive healthcare data
๐ Environment variable-based credential management
Documentation๏
๐ Complete README with usage examples
๐ API reference documentation
๐ Quick start guide
๐ก Code examples for all major use cases
๐งช Testing and development guidelines
Dependencies๏
aiohttp>=3.8.0- Async HTTP clientpandas>=1.3.0- Data manipulation and analysisnumpy>=1.20.0- Numerical computingtqdm>=4.60.0- Progress bars for data processing
Endpoints Implemented๏
Patient Management: Census, individual records, create/update, admissions
Medical Records: Vital signs, allergies, assessments (CIWA, COWS), glucose logs
Appointments: Scheduling, types, statuses, resources, patient/provider scoped
Evaluations: Patient evaluations, templates, forms
Users & Providers: User management, provider records, roles, permissions
Administrative: Locations, care levels, flags, patient settings
Insurance: Records, verification, updates
Groups: Group sessions, patient groups, care teams
Consent Forms: Forms, records, patient consent management
Utilization Reviews: Patient UR records, latest updates
CLI Features๏
Connection testing
Patient census retrieval
Vital signs data access
Raw JSON or flattened DataFrame output options
Environment variable credential management
Development Notes๏
Version 0.0.1 Implementation Details๏
Built with modern Python async/await patterns
Comprehensive error handling for healthcare data sensitivity
Automated testing and validation
Production-ready code with proper logging
Memory-efficient data processing for large datasets
Flexible authentication handling for different environments
Future Roadmap๏
Enhanced caching mechanisms
Bulk data operations
WebSocket support for real-time updates
Advanced filtering and query builders
Integration with popular healthcare frameworks
Enhanced CLI with interactive features