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* Implement Modern Fluent API Pattern for OpenMetadata Java Client * Add Lineage, Bulk, Search static methods * Add all API support for Java & Python SDKs * Add Python SDKs and mock tests * Add Fluent APIs for sdks * Add Fluent APIs for sdks * Add Fluent APIs for sdks, support async import/export * Remove unnecessary scripts * fix py checkstyle * fix tests with new plural form sdks * Fix tests * remove examples from python sdk * remove examples from python sdk * Fix type check * Fix pyformat check * Fix pyformat check * fix python integration tests * fix pycheck and pytests * fix search api pycheck * fix pycheck * fix pycheck * fix pycheck * Fix test_sdk_integration * Improvements to SDK * Remove SDK coverage for Python 3.9 * Remove SDK coverage for Python 3.9 * Remove SDK coverage for Python 3.9
1.6 KiB
1.6 KiB
OpenMetadata Python SDK Implementation Plan
Current Status
✅ Completed (15 entities):
- Table
- Database
- DatabaseSchema
- Dashboard
- Pipeline
- Container
- Topic
- Team
- User
- Glossary
- GlossaryTerm
- Chart (NEW)
- Metric (NEW)
- MLModel (IN PROGRESS)
Remaining High-Priority Entities (20)
Data Assets (Priority 1)
- StoredProcedure
- SearchIndex
- Query
- DashboardDataModel
- APIEndpoint
- APICollection
Governance (Priority 2)
- Classification
- Tag
- Domain
- DataProduct
Data Quality (Priority 3)
- TestCase
- TestSuite
- TestDefinition
- DataContract
Security (Priority 4)
- Role
- Policy
- PersonalAccessToken
Operations (Priority 5)
- IngestionPipeline
- Workflow
- Alert
Implementation Strategy
Each entity needs:
- Entity class with full CRUD operations
- Comprehensive unit tests (15-20 test cases)
- Integration with base entity pattern
- Proper error handling
- CSV import/export support
- Version management
- Follower management
- Custom operations specific to entity type
Test Coverage Requirements
- Create operations
- Retrieve by ID and name
- Update and patch operations
- Delete (soft and hard)
- List with pagination
- Add/remove followers
- Version management
- Error handling
- Entity-specific operations
Next Steps
- Complete MLModel implementation and tests
- Implement remaining data asset entities
- Add governance entities
- Implement data quality entities
- Add security entities
- Create comprehensive integration tests
- Update documentation
- Performance optimization