Version Historyο
Version 2.0.0 - Major Releaseο
Date: 2025-09-05
π― Production Release with REST API Support
Major release introducing comprehensive REST API support, OAuth2 authentication, and dual protocol architecture.
π Recent Updates
Comprehensive Test Suite: Added 30+ new tests for OAuth2, force_null_types, and protocol adapters
Enhanced Documentation: - Microsoft Entra ID migration instructions and troubleshooting - REST API reference with complete OpenAPI specification - Comprehensive troubleshooting guide for common issues - Updated Python 3.10+ requirement throughout documentation
API Refinements: - Added
force_null_typesparameter to override default null handling - Improved JWT token validation with proper length and format checking - Enhanced error messages and validation feedbackDeveloper Experience: - Updated development setup instructions - Added reverse-engineered OpenAPI schema integration - Fixed GitHub URLs to use call-report organization
π Major Features
This release provides a complete dual-protocol implementation supporting both the modern REST API and legacy SOAP API, with seamless migration capabilities.
π New Features
REST API Support: Full support for modern OAuth2-based REST API alongside legacy SOAP
AsyncCompatibleClient: Full async/await support with rate limiting and concurrency control
Parallel Processing: Collect data from multiple banks simultaneously
Direct Polars Conversion: XBRL β Polars pipeline preserves maximum numerical precision
Advanced Error Handling: Custom exception types with rich context
Memory Management: Proper cleanup, context managers, SOAP client caching
Thread Safety: Race condition resolution and concurrent access support
Null Type Control: New
force_null_typesparameter for pandas/numpy null handlingNew Collection Methods: -
collect_filers_on_reporting_period()-collect_filers_since_date()-collect_filers_submission_date_time()
π Security Improvements
Comprehensive input validation for all method parameters
Credential security with password masking
XXE prevention with XML parser hardening
Immutable credentials after initialization
Secure session management
π§ Performance & Reliability
Memory leak prevention with proper resource cleanup
SOAP client caching to prevent expensive recreation
Thread-safe operations throughout
Up to 5x performance improvement with async operations
Comprehensive test suite with 253 tests
π Data Processing Enhancements
Type-specific columns (int_data, float_data, bool_data, str_data)
NumPy dtype consistency throughout data pipeline
Support for list, pandas DataFrame, and Polars DataFrame outputs
Maximum precision preservation in XBRL processing
π Documentation & Developer Experience
Comprehensive Jupyter notebook demonstration
Technical analysis documents for security, memory, and performance
Complete API documentation with examples
Migration guides and backward compatibility
π§ Breaking Changes
While backward compatibility is maintained, some advanced usage patterns may need updates. See CHANGELOG.md for detailed migration guidance.
Version 0.3.0ο
Date: 2024-XX-XX
Whatβs new?
Direct XBRL to Polars conversion implementation
NumPy dtype consistency improvements
Enhanced notebook demonstrations
Memory management improvements
Thread safety enhancements
Connection stability improvements
Version 0.2.0ο
Date: 2020-07-28
Whatβs new?
Fixed issues where credentials provided as environment variables were triggering an exception when used
Improved error handling and validation
Enhanced session management
Version 0.1.0ο
Date: 2020-07-27
Initial release (beta)
Basic FFIEC webservice integration
Core data collection functionality