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mitm-tooling

This python package contains basic functionality to work with "Models-in-the-Middle" (MitM) data sets. It bundles a generic mechanism to load and export relational data as a configurable MitM.

Package Structure

  • mitm_tooling/data_types: Defines the basic attribute data types supported in MitMs.
  • mitm_tooling/definition: Contains MitM definitions. Currently, only MAED is supported.
  • mitm_tooling/extraction/sql: Functionality for mapping and (virtually) transforming relational databases. This is used by the maed[/mitm]-exporter-backend.
  • mitm_tooling/representation: Defines different representations of MitM data. From the proposed zipped format to dataframes and a relational DB representation.
    • /sql: Defines the relational representation along with utilities for inserting any (mapped) MitM data, by essentially executing a (streamable) ETL pipeline.
  • mitm_tooling/transformation: Functionality for converting different representations into each other. Also contains
    • /superset: Functionality for generating superset-importable definitions, particularly programmatically defined dynamic dashboards. This is used by the superset-mitm-service.
  • mitm_tooling/utilities: Some utility functions.

For more details, consider the API documentation.

Extension Points

  1. Adding new MitMs via a .yaml definition.
  2. Adding transformation capabilities to/from other formats.
  3. Adding new model-specific visualization creators (e.g., mitm_tooling/transformation/superset/visualizations/maed/dashboards.py)
  4. Extending the relational representation with more mutation capabilities (e.g., instance updates).

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