Refactor/g5 pipeline executors#183
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October 14, 2025 14:59
* Consolidate pipeline related functions ** moved store_metadata pipeline function to base_pipeline.py ** All pipelines generate their root_asset_dir from the MARIE_CACHE dir * Removed classification processing from llm_pipeline.py * Add OCR enabled flag to pipeline config for classification and llm pipelines (default True) * generalized pipeline component enabled status * move meta_merge_executor from merge to meta package * fix imports
* Feature example:{"name":"ocr","type":"extract","force":true}
* meta_merge_executor use request_util.get_payload_features to parse payload features
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Goals:
PipelineExecutorandDocumentLLMPipelineExecutor.PipelineExecutorhas become a base class and is not longer intended for direct instantiation.DocumentLLMPipelineExecutoris nowLLMIndexerExecutorMetaMergeExecutorhas been derived from the merge_metadata function and is no longer inPipelineExecutorAdditional Requested Feature:
TextExtractionExecutor{"name":"ocr","type":"extract","force":true}