Clicking a config in the dashboard now shows its velocity/field/current
plots (rendered on the fly by /api/run/<id>/plot/<kind>.png) plus an
on-demand GIF of the slug flying through the coils
(/api/run/<id>/anim.gif). Matplotlib rendering is serialized behind a
lock since the Agg pyplot state machine isn't thread-safe and the server
is threaded. Verified end to end: endpoints return real PNG/GIF bytes.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Requested during deployment: make the DB maximally detailed, add an
experiment process log, and a web UI to watch runs live.
- optim/objective.py build_detail(): each stored run now records
inter-coil distances, absolute coil positions along the tube, every
component part number/spec, winding geometry, computed physics
(resistance, air inductance, peak current, peak field), and per-stage
outcome (entry/exit velocity, sensor timing, energy breakdown)
- optim/progress_log.py: append-only <db>.log with progress %, feasible
rate, throughput, ETA, and a line on each new best efficiency; wired
into both sweep and evolve
- src/gausse/web/: stdlib-only (http.server) dashboard `gausse serve` --
self-contained HTML polling /api/overview every 3s: counters, KPD
histogram, top-configs table with per-run drill-down, failure reasons,
live log tail. No new dependencies.
- docker-compose.yml: `web` service on port 8000
- 77 tests pass locally and in Docker
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
