chore: 同步本地更改

- 新增 aio-mcp 项目框架
- 新增 .trae/skills/ OCR/SKU 设计工具
- 更新 auto-check 配置和 stress 包
- 删除 fnhelp 文档目录
- 更新 Docker 压力测试脚本

.trae/skills/ocr-extract/run_ocr.py

@@ -0,0 +1,54 @@
+from rapidocr_onnxruntime import RapidOCR
+from PIL import Image
+import os, time, json
+
+ocr = RapidOCR()
+img_dir = r"D:\workspace\membank\售价"
+images = sorted([f for f in os.listdir(img_dir) if f.lower().endswith(('.jpeg', '.jpg', '.png'))])
+
+all_results = {}
+
+for img_name in images:
+    img_path = os.path.join(img_dir, img_name)
+    img = Image.open(img_path)
+    w, h = img.size
+    print(f"\n=== {img_name} ({w}x{h}) ===")
+
+    # Use chunking for images taller than 2000px
+    if h > 2000:
+        chunk_size = 1200
+        all_text = []
+        for i in range(0, h, chunk_size):
+            bottom = min(i + chunk_size, h)
+            chunk = img.crop((0, i, w, bottom))
+            tmp_path = os.path.join(os.environ['TEMP'], f'ocr_chunk_{i}.png')
+            chunk.save(tmp_path)
+            result, _ = ocr(tmp_path)
+            if result:
+                for line in result:
+                    text = line[1]
+                    conf = line[2]
+                    bbox = line[0]
+                    y_center = (bbox[0][1] + bbox[2][1]) / 2 + i  # absolute y position
+                    all_text.append((y_center, text, conf))
+            if os.path.exists(tmp_path):
+                os.remove(tmp_path)
+        # Sort by vertical position
+        all_text.sort(key=lambda x: x[0])
+        lines = [(t[1], t[2]) for t in all_text]
+    else:
+        result, _ = ocr(img_path)
+        if result:
+            lines = [(line[1], line[2]) for line in result]
+        else:
+            lines = []
+
+    all_results[img_name] = lines
+    for text, conf in lines:
+        print(f"  [{conf}] {text}")
+
+# Save raw results as JSON for later processing
+with open(os.path.join(img_dir, "ocr_results.json"), "w", encoding="utf-8") as f:
+    json.dump(all_results, f, ensure_ascii=False, indent=2)
+
+print("\n\n=== OCR完成，结果已保存到 ocr_results.json ===")