feat(export/import): add format support for SparkJobDefinition and SemanticModel#22
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feat(export/import): add format support for SparkJobDefinition and SemanticModel#22
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…port Co-authored-by: ayeshurun <98805507+ayeshurun@users.noreply.github.com>
Co-authored-by: ayeshurun <98805507+ayeshurun@users.noreply.github.com>
Co-authored-by: ayeshurun <98805507+ayeshurun@users.noreply.github.com>
…otebook format logic Co-authored-by: ayeshurun <98805507+ayeshurun@users.noreply.github.com>
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[WIP] Add support for export and import item formats
feat(export/import): add format support for SparkJobDefinition and SemanticModel
Jan 18, 2026
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📥 Pull Request
✨ Description of new changes
Summary
Extends export/import format support beyond Notebook to include SparkJobDefinition (V1/V2) and SemanticModel (TMDL/TMSL), based on fabric-rest-api-specs analysis.
Implementation
Format mappings added:
SparkJobDefinition:SparkJobDefinitionV1(default),SparkJobDefinitionV2SemanticModel:TMDL(default),TMSLNotebook: Added explicit format names (ipynb,fabricGitSource) alongside existing.py/.ipynbCore changes:
fab_types.py: Extendeddefinition_format_mappingwith new formatsfab_fs_import_item.py: Replaced hardcoded.py/.ipynbvalidation with dynamic mapping lookupfab_fs_export_item.py: Dynamic format validation against item type mappingsfab_item.py: Updatedget_payload()to handle format parameter dynamically; simplified Notebook format logiccommon.py: Addedinvalid_format()for consistent error messaging across export/importfab_fs_parser.py: Enhanced help text with format examplesUsage:
Testing:
Format parameter is optional (defaults used) maintaining backward compatibility.
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