Add SISTER-Lite interactive lookup app

[devin-ai-integration]

Summary

Adds a first SISTER-Lite implementation for interactive, lookup-based electrophysiology hypothesis generation:

• Adds a FastAPI app (src.sister_lite.api) with:
  • GET/POST /api/lookup
  • POST /api/simulate plus in-memory completed job status
  • GET /api/status/{job_id}
  • GET /api/compare for Paci vs ORd discordance tagging
  • POST /api/optimize for nearest-grid target APD alternans search
• Adds decision-rule classification for invalid, valid negative, weak alternans, and strong positive outcomes.
• Adds a curated SISTER-Lite CSV grid including the requested internal validation cases:
  • Paci low G_K1=0.25, BCL 500, verapamil → strong_positive, 57.9%
  • ORd same parameters → valid_negative, 0%
  • high G_K1 Paci control → valid_negative
• Adds a static browser UI served by FastAPI with sliders/toggles, a Three.js heart risk color, and Plotly APD/Ca traces.
• Adds tests for the key validation cases, API job/status contract, parameter discard guard, and optimizer endpoint.
• Adds FastAPI/Uvicorn/test dependencies to requirements.txt and environment.yml, and ignores local .venv/.

Review & Testing Checklist for Human

• Verify the curated data/sister_lite/sister_lite_grid.csv values/provenance are scientifically acceptable, especially the internal-validation and Grandi placeholder rows.
• Run the app locally and confirm UI behavior end to end:
  PYTHONPATH=. .venv/bin/uvicorn src.run_sister_lite:app --host 127.0.0.1 --port 8001
  then test Paci/ORd/high-G_K1 scenarios in the browser.
• Confirm the synchronous lookup/job/optimizer API shape is acceptable for SISTER-Lite and does not overpromise live ODE, Celery, or Bayesian optimization behavior yet.
• Check whether CDN-loaded React/Three/Plotly is acceptable for the intended deployment target, or whether this should be converted to a bundled frontend later.

Notes

Tested locally with:

• .venv/bin/python -m compileall -q src/sister_lite src/run_sister_lite.py tests/test_sister_lite.py
• .venv/bin/python -m pytest tests ipsc_cm_pattern_alignment/tests
• Local API smoke test against /api/simulate confirming Paci low-G_K1 verapamil returns strong_positive with probability 0.579.

Link to Devin session: https://app.devin.ai/sessions/f9e9f9041f4a4b81ac23d07bd2ca94f5
Requested by: @anerecye

[devin-ai-integration]

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