Add danbooru-mcp auto-start, git sync, status API endpoints, navbar status indicators, and LLM format retry

- app.py: add subprocess import; add _ensure_mcp_repo() to clone/pull
  danbooru-mcp from https://git.liveaodh.com/aodhan/danbooru-mcp into
  tools/danbooru-mcp/ at startup; add ensure_mcp_server_running() which
  calls _ensure_mcp_repo() then starts the Docker container if not running;
  add GET /api/status/comfyui and GET /api/status/mcp health endpoints;
  fix call_llm() to retry up to 3 times on unexpected response format
  (KeyError/IndexError), logging the raw response and prompting the LLM
  to respond with valid JSON before each retry
- templates/layout.html: add ComfyUI and MCP status dot indicators to
  navbar; add polling JS that checks both endpoints on load and every 30s
- static/style.css: add .service-status, .status-dot, .status-ok,
  .status-error, .status-checking styles and status-pulse keyframe animation
- .gitignore: add tools/ to exclude the cloned danbooru-mcp repo

migrate_lora_weight_range.py

@@ -0,0 +1,79 @@
+#!/usr/bin/env python3
+"""
+Migration: add lora_weight_min / lora_weight_max to every entity JSON.
+
+For each JSON file in the target directories we:
+  - Read the existing lora_weight value (default 1.0 if missing)
+  - Write lora_weight_min = lora_weight (if not already set)
+  - Write lora_weight_max = lora_weight (if not already set)
+  - Leave lora_weight in place (the resolver still uses it as a fallback)
+
+Directories processed (skip data/checkpoints — no LoRA weight there):
+  data/characters/
+  data/clothing/
+  data/actions/
+  data/styles/
+  data/scenes/
+  data/detailers/
+  data/looks/
+"""
+
+import glob
+import json
+import os
+import sys
+
+DIRS = [
+    'data/characters',
+    'data/clothing',
+    'data/actions',
+    'data/styles',
+    'data/scenes',
+    'data/detailers',
+    'data/looks',
+]
+
+dry_run = '--dry-run' in sys.argv
+updated = 0
+skipped = 0
+errors = 0
+
+for directory in DIRS:
+    pattern = os.path.join(directory, '*.json')
+    for path in sorted(glob.glob(pattern)):
+        try:
+            with open(path, 'r', encoding='utf-8') as f:
+                data = json.load(f)
+
+            lora = data.get('lora')
+            if not isinstance(lora, dict):
+                skipped += 1
+                continue
+
+            weight = float(lora.get('lora_weight', 1.0))
+            changed = False
+
+            if 'lora_weight_min' not in lora:
+                lora['lora_weight_min'] = weight
+                changed = True
+            if 'lora_weight_max' not in lora:
+                lora['lora_weight_max'] = weight
+                changed = True
+
+            if changed:
+                if not dry_run:
+                    with open(path, 'w', encoding='utf-8') as f:
+                        json.dump(data, f, indent=2, ensure_ascii=False)
+                        f.write('\n')
+                print(f"  [{'DRY' if dry_run else 'OK'}]  {path}  weight={weight}")
+                updated += 1
+            else:
+                skipped += 1
+
+        except Exception as e:
+            print(f"  [ERR] {path}: {e}", file=sys.stderr)
+            errors += 1
+
+print(f"\nDone. updated={updated}  skipped={skipped}  errors={errors}")
+if dry_run:
+    print("(dry-run — no files were written)")