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…ing pipeline Implement Priority 1 of the workflow extraction pipeline: - Pydantic models for RecordingSession, Workflow, CanonicalWorkflow, WorkflowLibrary - WAARecordingAdapter to parse WAA meta.json recordings into normalized sessions - Cosine similarity matching for grouping workflows into canonical workflows - 31 tests with synthetic data families (settings toggles, spreadsheet entry, document formatting, file archiving) validating models, adapter, and matching Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
openadapt_evals/workflow/package implementing Priority 1 of the workflow extraction pipeline (seedocs/design/workflow_extraction_pipeline.md)models.py:RecordingSource,ActionType,NormalizedAction,RecordingSession,TranscriptEntry,EpisodeTranscript,WorkflowStep,Workflow,WorkflowInstance,CanonicalWorkflow,WorkflowLibrary-- all with computed fields, content hashing, andto_demo_text()for DemoController compatibilityadapters/waa.py:WAARecordingAdapter.from_meta_json()parses WAAmeta.json+ step PNGs into normalizedRecordingSessionobjects with action type classificationpipeline/match.py:match_workflow_to_canonical(),create_canonical_from_workflow(),add_instance_to_canonical()with 0.85 thresholdtests/test_workflow_models.pyusing four synthetic data families (A: settings toggles, B: spreadsheet data entry, C: document formatting, D: file archiving) validating models, adapter parsing, content hash determinism, demo text format, and matching behaviorTest plan
testcheck must pass🤖 Generated with Claude Code