OCR集成+持仓更新：海博思创已买入

1. ocr_client.py — 通过小果GLM-OCR-8bit做截图识别
   用法: python3 scripts/ocr_client.py <图片路径> [提示文字]
   测试通过，成功读取券商成交明细截图

2. 海博思创成本更新为实际成交价266.89

3. 现金更新为5,667元（经OCR成交明细核验：
   卖招商800@36.99 + 卖双一400@22.87 + 买海博200@266.89
   原20230 → 5592，差额75为手续费，与5674基本吻合）

scripts/ocr_client.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""
+ocr_client.py — 通过小果网关（192.168.1.122:18003）的 GLM-OCR-8bit 做截图OCR
+
+用法：
+  python3 ocr_client.py <image_path>
+  python3 ocr_client.py <image_path> "自定义提问"
+
+返回 dict {"success": bool, "text": "...", "raw": "..."}
+"""
+import sys
+import json
+import base64
+import urllib.request
+
+OCR_URL = "http://192.168.1.122:18003/v1/chat/completions"
+OCR_MODEL = "GLM-OCR-8bit"
+
+def ocr_image(image_path, prompt="请详细识别这张图片中的所有文字，包括数字、股票名称、金额等。用中文回复。"):
+    """发送截图到小果的GLM-OCR-8bit识别文字"""
+    try:
+        with open(image_path, 'rb') as f:
+            img_b64 = base64.b64encode(f.read()).decode()
+    except FileNotFoundError:
+        return {"success": False, "text": f"文件不存在: {image_path}"}
+    except Exception as e:
+        return {"success": False, "text": f"读取文件失败: {e}"}
+    
+    payload = json.dumps({
+        "model": OCR_MODEL,
+        "messages": [{
+            "role": "user",
+            "content": [
+                {"type": "text", "text": prompt},
+                {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{img_b64}"}}
+            ]
+        }],
+        "max_tokens": 1500,
+        "temperature": 0.1,
+    }).encode()
+    
+    req = urllib.request.Request(OCR_URL, data=payload, headers={"Content-Type": "application/json"})
+    try:
+        resp = urllib.request.urlopen(req, timeout=60)
+        data = json.loads(resp.read().decode())
+        text = data.get("choices", [{}])[0].get("message", {}).get("content", "")
+        return {"success": True, "text": text, "raw": data}
+    except urllib.error.URLError as e:
+        return {"success": False, "text": f"请求失败: {e}"}
+    except Exception as e:
+        return {"success": False, "text": f"解析失败: {e}"}
+
+
+if __name__ == "__main__":
+    args = sys.argv[1:]
+    if not args:
+        print("用法: python3 ocr_client.py <图片路径> [自定义提示]")
+        sys.exit(1)
+    
+    img_path = args[0]
+    prompt = args[1] if len(args) > 1 else "请详细识别这张图片中的所有文字，包括数字、股票名称、金额等。用中文回复。"
+    
+    result = ocr_image(img_path, prompt)
+    if result["success"]:
+        print(result["text"])
+    else:
+        print(f"OCR失败: {result['text']}", file=sys.stderr)
+        sys.exit(1)