normalize-youtube-video-public-signals

name	normalize-youtube-video-public-signals
description	Normalize fetch-youtube-video-search results into unified public signals and write them into the signal plane database. Use when investigators need canonical video-level public evidence rows, artifact refs, provenance, platform quality flags, and coverage limitations from YouTube discovery output.

Eco Normalize YouTube Video Public Signals

Core Goal

• Read one fetch-youtube-video-search raw artifact.
• Convert video records into canonical public signals.
• Write artifact, ingest-batch, and signal rows into the unified signal plane.
• Return compact summary, receipt id, batch id, artifact refs, signal ids, and query-oriented handoff.

Triggering Conditions

• A fetch step already produced YouTube video search output.
• The council needs video-level public evidence instead of raw platform payloads.
• Investigator query, finding, and evidence-bundle work should operate from the unified signal plane.

Read/Write Contract

• Reads one raw artifact from disk.
• Writes to signal_artifacts, signal_ingest_batches, and normalized_signals in runs/<run_id>/analytics/signal_plane.sqlite.
• Does not generate claim candidates directly.

Required Input

• run_dir
• run_id
• round_id
• artifact_path
• Optional:
  • db_path
  • query_text_override

Output Contract

• status
• summary
• receipt_id
• batch_id
• artifact_refs
• canonical_ids
• warnings
• board_handoff

References

• ../../docs/openclaw-project-overview.md

Scripts

• scripts/normalize_youtube_video_public_signals.py