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Backfill all existing JSONs (adds focus_node_id/focus_node_label to old files):

uv run python scripts/backfill_focus_nodes.py

Step-by-step

1. Identify which JSON file to use:

   • If the user specified a file, use that path
   • If not, find the most recent JSON: ls -t synthetic_interviews/*.json | head -1

2. Run the transcript generator:

   uv run python scripts/generate_transcript.py <path-to-json>
   

3. Report the output path: reports/transcripts/<timestamp>_transcript.md

4. Optionally show the user the turn breakdown table from the generated file:

   sed -n '/## Turn Breakdown/,/## Turn-by-Turn/p' reports/transcripts/<timestamp>_transcript.md | head -30
   

Notes on focus nodes

• New simulations (after this feature was added): focus_node_id is stored directly in the JSON.
• Old simulations: Focus node is resolved automatically from score_decomposition — no manual action needed.
• If focus_node_label shows as — for a specific turn, it means that turn used a conversation-level strategy with no node targeting (e.g. revitalize).

When to use backfill

Run backfill_focus_nodes.py when:

• You want to permanently write focus_node_id into existing JSON files (optional — generate_transcript.py resolves it on-the-fly anyway)
• You're adding a new analysis tool that reads focus_node_id directly from the JSON

The backfill is idempotent — safe to re-run. Already-patched turns are skipped.

File locations