codex-panel-reproduce

Codex Panel Reproduce

Trigger

Use this for code-only reproduction or refinement of one scientific figure panel in NaturePanelForge. The target is an editable Python script plus rendered PNG/PDF, not image editing or raster tracing.

For local user-supplied images, do not run Qwen scoring and do not require Qwen outputs. Qwen context is only optional metadata when the input already comes from an existing SciFigureHub/NaturePanelForge pipeline directory.

Inputs

• Single-image workflow: a target panel image path, optional caption, optional source PDF.
• Existing-panel workflow: a panel directory containing target.png; optional metadata.json, qwen_score.json, qwen_prompt.md, and raw_response.txt. Missing Qwen files are acceptable for user-supplied images.
• Refine workflow: an existing panel directory containing target.png, reproduce_panel.py, reproduce_panel.png, and reproduce_panel.pdf.

Reproduce One Panel

Run from the NaturePanelForge repo root:

python3 forge.py single-panel-image \
  --image path/to/target_panel.png \
  --out-root UserRuns/single_panel \
  --panel-id my_panel \
  --caption "brief visual/caption context" \
  --chart-type user_supplied \
  --review-rounds 4 \
  --skip-existing

This command prepares the local single-image bundle itself. It writes placeholder user-image metadata as needed; it does not classify the image with Qwen and does not need a local Qwen model.

For an existing panel directory:

python3 examples/prompt_codex_reproduce_fig02_g.py \
  --panel-dir path/to/panel_dir \
  --panel-root path/to/panel_root \
  --reviews-dir path/to/reviews_root \
  --specs-dir path/to/specs_root \
  --jobs 1 \
  --review-rounds 4 \
  --skip-existing

Expected panel outputs:

• reproduce_panel.py
• reproduce_panel.png
• reproduce_panel.pdf

Expected mirrored review/spec outputs:

• reproduce_panel_run_log.md
• reproduce_panel_review_notes.md
• reproduce_panel_review_summary.json
• reproduce_panel_prompt.md
• reproduce_panel_raw_response.txt