Enrich results DB, add process log, and build a live web dashboard

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>

docker-compose.yml

@@ -1,4 +1,18 @@
 services:
+  # Веб-морда: дашборд хода эксперимента. Порт 8000 наружу.
+  #   docker compose up -d web
+  # Открыть http://<адрес-сервера>:8000
+  web:
+    build: .
+    volumes:
+      - ./results:/app/results
+    ports:
+      - "8000:8000"
+    command: ["serve", "--db", "/app/results/gausse.sqlite3", "--host", "0.0.0.0", "--port", "8000"]
+    restart: unless-stopped
+
+  # Разовые команды (sweep/evolve/report). Пример:
+  #   docker compose run --rm gausse sweep --db /app/results/gausse.sqlite3 --n 100000 --seed 1
   gausse:
     build: .
     volumes: