scaffold — FastAPI + SQLite + HTMX dashboard, ingest + dispatcher

- app/main.py : dashboard /, partials /partials/{jobs,monitor} (htmx polling)
- app/templates/ : index, jobs table, monitor card par worker
- app/static/style.css : thème sombre cohérent
- scripts/ingest.py : scan SSD d'acquisition, EXIF CreateDate → segments
  continus par (AUV, GoPro serial) avec seuil configurable
- scripts/dispatcher.py : polling queue, pick worker selon VRAM free,
  extraction ffmpeg + lingbot-map windowed --offload_to_cpu, progression DB
- DB : SQLite (acquisitions + jobs), lifecycle queued→extracting→running→done
- Workers par défaut : .87 (3060 12GB) + .84 (3090 24GB)

Contexte : QC terrain le jour-même (avant photogrammétrie à 30 jours),
plusieurs heures × 2 GoPros × 2-3 AUVs d'enregistrement à traiter en parallèle.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

app/templates/_monitor.html

@@ -0,0 +1,26 @@
+<div class="worker-grid">
+  {% for w in workers %}
+    <div class="worker {% if not w.online %}offline{% endif %}">
+      <div class="hdr">
+        <b>{{ w.host }}</b>
+        <span class="gpu">{{ w.gpu }}</span>
+        <span class="state">{% if w.online %}online{% else %}offline{% endif %}</span>
+      </div>
+      {% if w.online %}
+        <div class="bar">
+          <span>VRAM</span>
+          <progress value="{{ w.vram_used_mib or 0 }}" max="{{ w.vram_total_mib or 1 }}"></progress>
+          <small>{{ w.vram_used_mib }} / {{ w.vram_total_mib }} MiB</small>
+        </div>
+        <div class="bar">
+          <span>GPU</span>
+          <progress value="{{ w.gpu_util_pct or 0 }}" max="100"></progress>
+          <small>{{ w.gpu_util_pct }}%</small>
+        </div>
+        <div class="bar"><span>Disk /</span><small>{{ w.disk_used_pct }}</small></div>
+      {% else %}
+        <div class="err">{{ w.error or "unreachable" }}</div>
+      {% endif %}
+    </div>
+  {% endfor %}
+</div>