feat(bot): screenshot OCR pipeline + ack delay 120s

D fix: screenshots were silently dropped (empty body + OOB url).
- register xep_0066, capture msg['oob']['url'] when body empty
- also handle body-as-URL messages (some clients put URL in body)
- download from upload.yoin.fun, OCR via SenseNova (sensenova-6.7-flash-lite)
- inject OCR text as context into LLM call
- config at /home/hmo/.config/mofin/ocr_config.json (outside repo)
- replaces dead node122 GLM-OCR path (host unreachable)

A+B fix: ACK_DELAY 15s -> 120s. 15s fired on every normal LLM
cold-start (20-100s), now only signals genuine hangs.

deploy/bot/ocr_config.example.json

@@ -0,0 +1,5 @@
+{
+  "key": "sk-aRNj3UwKSLPsDfh15QNTPwbHxahblfaO",
+  "base_url": "https://token.sensenova.cn/v1",
+  "model": "sensenova-6.7-flash-lite"
+}

deploy/bot/xmpp_agent_core.py

@@ -48,7 +48,7 @@ MUC_NICK = ""
 AGENT_MENTION = ""
 HTTP_PORT = 5808
 AGENT_NICK = ""
-ACK_DELAY = 15
+ACK_DELAY = 120  # 真卡死才提示（普通 LLM 冷启动 20-100s 不应触发）
 GATEWAY_URL = ""
 GATEWAY_API_KEY = ""
 GATEWAY_SESSION_ID = ""
@@ -56,6 +56,89 @@ GATEWAY_DEADLINE_SECONDS = 180
 CALL_HERMES_TIMEOUT = 180
 FALLBACK_REPLY = "请稍等，我在处理..."
 
+# ── 图片 OCR 配置（截图消息 → SenseNova vision）──
+OCR_CONFIG_FILE = "/home/hmo/.config/mofin/ocr_config.json"
+OCR_TIMEOUT = 90
+IMAGE_EXTS = ('.jpg', '.jpeg', '.png', '.webp', '.gif')
+
+
+def _load_ocr_config():
+    """从 /home/hmo/.config/mofin/ocr_config.json 读取 SenseNova 配置。
+    文件不存在或未配置 → 返回 (None, None, None)，图片功能降级为仅提示收到。"""
+    try:
+        with open(OCR_CONFIG_FILE, 'r', encoding='utf-8') as f:
+            cfg = json.load(f)
+        return cfg.get('key'), cfg.get('base_url'), cfg.get('model', 'sensenova-6.7-flash-lite')
+    except Exception:
+        return None, None, None
+
+
+def _download_image(url, timeout=30):
+    """下载图片字节。失败返回 None。"""
+    import urllib.request
+    import ssl
+    try:
+        ctx = ssl.create_default_context()
+        ctx.check_hostname = False
+        ctx.verify_mode = ssl.CERT_NONE
+        req = urllib.request.Request(url, headers={'User-Agent': 'curl/8.5.0'})
+        with urllib.request.urlopen(req, timeout=timeout, context=ctx) as resp:
+            data = resp.read()
+        return data if len(data) > 100 else None
+    except Exception as e:
+        log.error(f"图片下载失败 {url[:80]}: {e}")
+        return None
+
+
+def _ocr_image(img_data, prompt=None):
+    """调 SenseNova vision OCR。返回 (ok, text)。"""
+    key, base, model = _load_ocr_config()
+    if not (key and base):
+        return False, "OCR未配置"
+    import base64
+    import urllib.request
+    b64 = base64.b64encode(img_data).decode()
+    text_prompt = prompt or "请识别这张图片中的所有文字内容，包括数字、股票名称、金额、日期。用中文回复。"
+    payload = json.dumps({
+        "model": model,
+        "messages": [{
+            "role": "user",
+            "content": [
+                {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{b64}"}},
+                {"type": "text", "text": text_prompt},
+            ]
+        }],
+        "max_tokens": 1500,
+    }).encode()
+    req = urllib.request.Request(
+        f"{base.rstrip('/')}/chat/completions", data=payload,
+        headers={"Content-Type": "application/json", "Authorization": f"Bearer {key}"})
+    try:
+        with urllib.request.urlopen(req, timeout=OCR_TIMEOUT) as resp:
+            data = json.loads(resp.read().decode())
+        msg = data.get('choices', [{}])[0].get('message', {})
+        text = msg.get('content', '') or msg.get('reasoning', '')
+        return True, text.strip() if text.strip() else "(OCR无内容)"
+    except Exception as e:
+        return False, f"OCR失败: {str(e)[:120]}"
+
+
+def _is_image_url(url):
+    u = url.lower().split('?')[0]
+    return ('upload.yoin.fun' in u or '/upload/' in u or u.endswith(IMAGE_EXTS))
+
+
+def _process_image_message(url):
+    """下载+OCR 一张截图，返回注入 LLM 的上下文文本。"""
+    img = _download_image(url)
+    if not img:
+        return "[老爸发来一张截图，但下载失败，无法识别]"
+    ok, text = _ocr_image(img)
+    if not ok:
+        return f"[老爸发来一张截图，OCR识别失败: {text}]"
+    return (f"[老爸发来一张截图，OCR识别内容如下]\n{text}\n"
+            f"[截图内容结束] 请基于截图内容回应老爸。")
+
 # ── 全局队列 ──
 _outbound_queue = []
 _outbound_lock = threading.Lock()
@@ -160,6 +243,7 @@ class XmppAgent(slixmpp.ClientXMPP):
         self.register_plugin('xep_0030')
         self.register_plugin('xep_0045')
         self.register_plugin('xep_0199')
+        self.register_plugin('xep_0066')  # OOB 附件（截图 URL）
 
     async def on_start(self, event):
         self.send_presence()
@@ -183,8 +267,21 @@ class XmppAgent(slixmpp.ClientXMPP):
     def on_msg(self, msg):
         if msg['type'] in ('chat', 'groupchat'):
             body = str(msg['body']).strip()
+            # body 为空时检查 OOB 附件（XEP-0066：截图/文件以 OOB url 送达）
             if not body:
-                return
+                try:
+                    oob_url = str(msg['oob']['url'] or '').strip()
+                except Exception:
+                    oob_url = ''
+                if oob_url and _is_image_url(oob_url):
+                    body = f"[IMAGE] {oob_url}"
+                    log.info(f"📩 收到图片(OOB): from={msg['from']} url={oob_url[:80]}")
+                else:
+                    return
+            # body 本身是上传 URL（部分客户端把 URL 直接放 body）
+            elif body.startswith('http') and _is_image_url(body):
+                log.info(f"📩 收到图片(URL body): from={msg['from']} url={body[:80]}")
+                body = f"[IMAGE] {body}"
             log.info(f"📩 收到: from={msg['from']} type={msg['type']} body={body[:60]}")
             if ('[executor]' in body and 'gateway_zhiwei' in body):
                 log.info(f"过滤 executor 消息: {body[:80]}...")
@@ -246,6 +343,12 @@ def _inbound_loop(bot):
                 sender, body, msg_type = _inbound_queue.pop(0)
             log.info(f"🔄 inbound处理: {body[:40]}")
             ack_mgr.start(body[:40], sender, body)
+            # 截图消息：下载 + OCR → 注入上下文
+            if body.startswith('[IMAGE]'):
+                img_url = body[len('[IMAGE]'):].strip()
+                log.info(f"🖼️ 图片消息处理: {img_url[:80]}")
+                body = _process_image_message(img_url)
+                log.info(f"🖼️ OCR完成: {body[:100]}")
             reply = call_hermes(body)
             ack_mgr.ack(body[:40])
             if reply: