feat: add async bulk operations with concurrent execution #6
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- Fix todo creation endpoint for meetings from 'todo/createmeetingtodo' to 'L10/{meeting_id}/todos'
- Fix meeting attendees field mapping (Id → UserId) to match MeetingAttendee model
- Update field mappings for meeting issues to match Issue model structure
- These fixes ensure proper compatibility with the Bloomy API
- Implement create_many method for concurrent goal creation - Add configurable rate limiting with max_concurrent parameter - Return BulkCreateResult with successful and failed operations - Support best-effort execution with detailed error tracking
- Add tests for create_many methods across todos, issues, goals, and meetings - Add tests for get_many method in meetings operations - Test concurrent execution with rate limiting - Test error handling and partial failures - Update existing tests to support new async patterns - Ensure proper field mappings are tested
- Document create_many methods for todos, issues, goals, and meetings - Document get_many method for meetings - Add real-world performance benchmarks showing 77%+ improvements - Provide code examples for all async bulk operations - Include best practices for rate limiting and error handling
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Summary
This PR adds async bulk operations to the Bloomy Python SDK, enabling efficient concurrent processing of multiple API requests with configurable rate limiting. Performance benchmarks show 77%+ improvements over sequential operations.
Key Changes
New Features
create_many) for:get_many) for meetingsmax_concurrentparameterBulkCreateResultBug Fixes
todo/createmeetingtodo→L10/{meeting_id}/todosId→UserIdDocumentation
Testing
Performance Impact
Real-world benchmarks show significant improvements:
Breaking Changes
None. All changes are additive and maintain backward compatibility.
🤖 Generated with Claude Code
Co-Authored-By: Claude noreply@anthropic.com