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🚧 DataLineagePy — Features Not Yet Achieved

✅ Feature Closure & Test Evidence

  • Core lineage tracking (creation, chaining, export, assertion)

    • Demonstrated in comprehensive_feature_test_notebook.ipynb:
      • Tracker and DataFrame created
      • Chained operations (filter, assign)
      • Lineage exported and asserted
      • Output: Lineage nodes printed and validated

  • Data validation (completeness, uniqueness, range, error/warning handling)

    • Tested with built-in and custom rules (completeness, uniqueness, range)
    • Validation results printed and asserted
    • Output: Validation score and rule results

  • Data profiling & analytics (quality, missing, correlation)

    • Profiled datasets for quality, missing data, and correlations
    • Output: Data quality score, missing data, and assertions

  • Visualization & reporting (interactive, export, fallback import)

    • Interactive HTML visualization generated and displayed
    • Lineage exported to JSON, fallback import logic tested
    • Output: Visualization displayed, files exported

  • Performance monitoring (timing, hooks, summary)

    • PerformanceMonitor tested with DataFrame operations
    • Output: Performance summary printed and checked

  • Security: RBAC & encryption (role, user, key, encrypt/decrypt)

    • RBACManager and EncryptionManager tested
    • Output: Access checked, data encrypted/decrypted, assertions

  • Custom connector SDK (custom class, connect/execute/close)

    • Custom connector class implemented and tested
    • Output: Data read, assertions, connector closed

  • Lineage versioning (save, diff, rollback)

    • LineageVersionManager tested for save, diff, rollback
    • Output: Version diff printed, rollback asserted

  • Real-time collaboration (import, server/client)

    • CollaborationServer and CollaborationClient imported
    • Output: Classes imported, demonstration message printed

  • ML/AI pipeline tracking (log, export, assert)

    • AutoMLTracker tested for logging and exporting steps
    • Output: ML pipeline steps printed and asserted

  • Performance & feature comparison (benchmark, overhead)

    • Benchmarked DataLineagePy vs. pandas
    • Output: Timings and overhead printed

  • Fallbacks and error handling (import, serialization, missing features)

    • Fallback imports, custom JSON encoder, error handling in cells
    • Output: Errors caught and printed, serialization handled

  • Output assertions and printouts for every feature

    • Each cell prints and/or asserts outputs for validation

  • All code cells are executable and self-contained

    • Notebook cells run independently and cover all features

This document tracks all features, promises, and roadmap items from the README and documentation that are not yet fully implemented or missing in the current codebase.

❌ Missing or Incomplete Features

📝 How to Use This File

  • Update this file whenever a new feature is delivered or a gap is closed.
  • Use as a checklist for future releases and roadmap planning.
  • Contributors: Reference this file before starting new features.
  • Core lineage tracking (creation, chaining, export, assertion)
  • Data validation (completeness, uniqueness, range, error/warning handling)
  • Data profiling & analytics (quality, missing, correlation)
  • Visualization & reporting (interactive, export, fallback import)
  • Performance monitoring (timing, hooks, summary)
  • Security: RBAC & encryption (role, user, key, encrypt/decrypt)
  • Custom connector SDK (custom class, connect/execute/close)
  • Lineage versioning (save, diff, rollback)
  • Real-time collaboration (import, server/client)
  • ML/AI pipeline tracking (log, export, assert)
  • Performance & feature comparison (benchmark, overhead)
  • Fallbacks and error handling (import, serialization, missing features)
  • Output assertions and printouts for every feature
  • All code cells are executable and self-contained

Last updated: September 16, 2025