fix(wechat-bot): ①对话时间统一北京时间 ②媒体内联发送(微信直看图片/视频) ③媒体生成计入Token驾驶舱 ④清空技能市场

backend/python/app/api/chat.py

@@ -459,6 +459,9 @@ async def _generate_media_task(ai_msg_id: str, ai_model_id: str, prompt: str, us
             msg.token_used = len(result) // 2
             db.commit()
             logger.info(f"[_generate_media_task] 消息 {ai_msg_id} 已回写内容")
+        # 媒体 Token 记账：把图片/视频真实消耗写入 TokenUsageLog，供驾驶舱统计。
+        # 主流程对媒体请求只写了占位文本的几 token，此处补写真实媒体消耗（模型名正确、数值合理）。
+        _write_media_token_log(db, ai_model, user_id, msg.conversation_id if msg else None, prompt)
     except Exception as e:
         logger.warning(f"[_generate_media_task] 后台生成异常: {e}")
     finally:
@@ -468,6 +471,38 @@ async def _generate_media_task(ai_msg_id: str, ai_model_id: str, prompt: str, us
             pass
 
 
+def _write_media_token_log(db, ai_model, user_id: str, conversation_id: str, prompt: str):
+    """媒体生成完成后补写 TokenUsageLog（图片/视频），修正此前只记占位文本的偏差。
+
+    媒体 API 不返回 token 用量，采用与 IM Bot 路径一致的估算：
+    视频基线 1200、图片基线 400，再加 prompt 长度的 1/4 作为提示词开销。
+    """
+    if not user_id or not ai_model:
+        return
+    try:
+        is_video = "video" in (ai_model.capabilities or [])
+        base = 1200 if is_video else 400
+        est = base + (len(prompt or "") // 4)
+        db.add(TokenUsageLog(
+            id=gen_uuid(),
+            user_id=user_id,
+            model_id=ai_model.id,
+            model_name=ai_model.name,
+            conversation_id=conversation_id,
+            prompt_tokens=est,
+            completion_tokens=0,
+            total_tokens=est,
+            created_at=cst_now(),
+        ))
+        db.commit()
+    except Exception as e:
+        logger.warning(f"[_write_media_token_log] 写入失败(忽略): {e}")
+        try:
+            db.rollback()
+        except Exception:
+            pass
+
+
 # ============================================================
 # 外部 Agent 远程调用 (Dify / n8n / Coze)
 # ============================================================
@@ -2062,19 +2097,20 @@ async def send_message(
     conv.knowledge_graph_count = (conv.knowledge_graph_count or 0) + 1
     conv.updated_at = cst_now()
 
-    # 记录Token使用
-    token_usage = TokenUsageLog(
-        id=gen_uuid(),
-        user_id=current_user.id,
-        model_id=ai_model.id if ai_model else (req.model_id or conv.model_id),
-        model_name=ai_model.name if ai_model else None,
-        conversation_id=conv_id,
-        prompt_tokens=prompt_tokens or len(req.content) // 2,
-        completion_tokens=completion_tokens or ai_token_count,
-        total_tokens=total_tokens or (len(req.content) // 2 + ai_token_count),
-        created_at=cst_now(),
-    )
-    db.add(token_usage)
+    # 记录Token使用（媒体生成走 _generate_media_task 异步补写真实消耗，此处跳过避免占位文本重复记账）
+    if not media_generating:
+        token_usage = TokenUsageLog(
+            id=gen_uuid(),
+            user_id=current_user.id,
+            model_id=ai_model.id if ai_model else (req.model_id or conv.model_id),
+            model_name=ai_model.name if ai_model else None,
+            conversation_id=conv_id,
+            prompt_tokens=prompt_tokens or len(req.content) // 2,
+            completion_tokens=completion_tokens or ai_token_count,
+            total_tokens=total_tokens or (len(req.content) // 2 + ai_token_count),
+            created_at=cst_now(),
+        )
+        db.add(token_usage)
 
     # 进化轨迹记录
     try:

backend/python/app/api/im_bot_user.py

@@ -17,7 +17,7 @@ import json
 import random
 import threading
 import time
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from typing import Optional
 
 import requests
@@ -31,6 +31,15 @@ from ..models import User
 
 router = APIRouter()
 
+# 北京时间（UTC+8）。容器系统时区为 UTC，所有对外展示/持久化的时间戳必须按北京时间存储，
+# 否则前台微信 Bot 对话窗会显示成 UTC（比系统时间早 8 小时）。
+TZ_BEIJING = timezone(timedelta(hours=8))
+
+
+def _beijing_now() -> datetime:
+    """返回北京时间的 naive datetime（去掉 tzinfo 以便直接存入 MySQL DATETIME）。"""
+    return datetime.now(TZ_BEIJING).replace(tzinfo=None)
+
 # ============================================================
 # iLink 协议常量（腾讯官方 iLink Bot HTTP API，直连免 AppID）
 # ============================================================
@@ -136,7 +145,7 @@ def _qihua_reply(text: str, user_id: str = None) -> str:
     try:
         from app.api.im_llm import _call_real_llm
         db = SessionLocal()
-        return _call_real_llm(db, None, prompt, "个人微信")
+        return _call_real_llm(db, None, prompt, "个人微信", user_id=user_id)
     except Exception as e:
         return f"（AI 回复生成失败：{e}）"
     finally:
@@ -164,9 +173,9 @@ def _wechat_get_updates(baseurl: str, bot_token: str, cursor: str):
         return [], cursor
 
 
-def _wechat_send_message(baseurl: str, bot_token: str, to_user_id: str, context_token: str, text: str):
-    """发送文本回复（必须带 context_token 关联到正确的对话窗口）。
-    返回 (ok, ret, body)。ret=-14=会话过期需重扫；ret=-2=token 失效。"""
+def _wechat_post_msg(baseurl: str, bot_token: str, to_user_id: str, context_token: str, item_list: list):
+    """向 iLink 发送一条消息（item_list 可含文本/图片/视频等）。返回 (ok, ret, body)。
+    ret=-14=会话过期需重扫；ret=-2=token 失效。"""
     import uuid as _uuid
     payload = {
         "msg": {
@@ -176,7 +185,7 @@ def _wechat_send_message(baseurl: str, bot_token: str, to_user_id: str, context_
             "message_type": 2,
             "message_state": 2,
             "context_token": context_token,
-            "item_list": [{"type": 1, "text_item": {"text": text}}],
+            "item_list": item_list,
         },
         "base_info": {"channel_version": "1.0.2"},
     }
@@ -197,7 +206,7 @@ def _wechat_send_message(baseurl: str, bot_token: str, to_user_id: str, context_
             ret = body.get("ret") if isinstance(body, dict) else None
             try:
                 with open("/tmp/wechat_send.log", "a", encoding="utf-8") as _f:
-                    _f.write(datetime.now().isoformat() + " SEND_HTTP=%s ret=%s body=%s\n"
+                    _f.write(_beijing_now().isoformat() + " SEND_HTTP=%s ret=%s body=%s\n"
                              % (resp.status_code, ret, json.dumps(body, ensure_ascii=False)[:300]))
             except Exception:
                 pass
@@ -210,6 +219,31 @@ def _wechat_send_message(baseurl: str, bot_token: str, to_user_id: str, context_
     return False, (last_body.get("ret") if isinstance(last_body, dict) else None), last_body
 
 
+def _wechat_send_message(baseurl: str, bot_token: str, to_user_id: str, context_token: str, text: str):
+    """发送纯文本回复。"""
+    return _wechat_post_msg(baseurl, bot_token, to_user_id, context_token,
+                             [{"type": 1, "text_item": {"text": text}}])
+
+
+def _wechat_send_media(baseurl: str, bot_token: str, to_user_id: str, context_token: str,
+                       media_type: str, url: str):
+    """发送媒体（图片/视频）并附带文本链接兜底，确保用户可在微信内直接查看。
+
+    iLink 消息 item_list：
+      - type=2 图片：image_item: {url}
+      - type=5 视频：video_item: {url}
+    同时附带一条文本项（含直链），防止微信/iLink 不渲染外链时用户仍能复制查看。
+    """
+    if media_type == "image":
+        media_item = {"type": 2, "image_item": {"url": url}}
+        caption = "🖼️ 图片已生成（若未直接显示，请点链接查看）：" + url
+    else:
+        media_item = {"type": 5, "video_item": {"url": url}}
+        caption = "🎬 视频已生成（若未直接播放，请点链接查看）：" + url
+    return _wechat_post_msg(baseurl, bot_token, to_user_id, context_token,
+                             [media_item, {"type": 1, "text_item": {"text": caption}}])
+
+
 def _wechat_extract_text(msg: dict) -> str:
     parts = []
     for it in (msg.get("item_list") or []):
@@ -255,7 +289,7 @@ def _log_chat(user_id, platform, from_user, context_token, role, content):
         ), {
             "uid": user_id, "platform": platform, "fu": from_user,
             "ctx": context_token, "role": role, "content": content,
-            "created": datetime.now(),
+            "created": _beijing_now(),
         })
     except Exception:
         pass
@@ -282,7 +316,7 @@ def _get_or_create_wechat_conv(db: Session, user_id: str) -> str:
         return _row_to_dict(rows[0])["id"]
     import uuid as _uuid
     cid = str(_uuid.uuid4())
-    now = datetime.now()
+    now = _beijing_now()
     _execute_raw(db, text(
         "INSERT INTO conversations "
         "(id, user_id, title, status, pinned, knowledge_graph_count, source, created_at, updated_at) "
@@ -298,7 +332,7 @@ def _append_ai_message(db: Session, conv_id: str, role: str, content: str, creat
         "VALUES (:id, :cid, :role, :content, 0, :c)"
     ), {
         "id": str(_uuid.uuid4()), "cid": conv_id, "role": role,
-        "content": content, "c": created or datetime.now(),
+        "content": content, "c": created or _beijing_now(),
     })
 
 
@@ -310,13 +344,13 @@ def _mirror_to_ai_chat(user_id: str, user_content: str, assistant_content: str):
     try:
         db = SessionLocal()
         cid = _get_or_create_wechat_conv(db, user_id)
-        now = datetime.now()
+        now = _beijing_now()
         _append_ai_message(db, cid, "user", user_content, created=now)
         # assistant 比 user 晚 50ms，保证排序严格递增，避免同秒时 ORDER BY 乱序
         _append_ai_message(db, cid, "assistant", assistant_content,
                             created=now + timedelta(milliseconds=50))
         _execute_raw(db, text("UPDATE conversations SET updated_at=:u WHERE id=:id"),
-                     {"u": datetime.now(), "id": cid})
+                     {"u": _beijing_now(), "id": cid})
     except Exception:
         pass
     finally:
@@ -335,7 +369,7 @@ def _mark_wechat_expired(account_id: int):
         _execute_raw(db, text(
             "UPDATE im_bot_wechat_account SET status='expired', bot_token=NULL, "
             "updated_at=:ts WHERE id=:aid"
-        ), {"aid": account_id, "ts": datetime.now()})
+        ), {"aid": account_id, "ts": _beijing_now()})
     except Exception:
         pass
     finally:
@@ -374,24 +408,39 @@ def _wechat_receiver_loop(account_id: int):
                 # 诊断：记录原始入站消息，定位字段名 / 第二轮不回复
                 try:
                     with open("/tmp/wechat_inbound.log", "a", encoding="utf-8") as _f:
-                        _f.write(datetime.now().isoformat() + " sender=" + repr(sender)
+                        _f.write(_beijing_now().isoformat() + " sender=" + repr(sender)
                                  + " ctx=" + repr(ctx) + " raw=" + json.dumps(m, ensure_ascii=False) + "\n")
                 except Exception:
                     pass
                 # 先生成回复（此时历史尚未包含本条，避免重复）
                 reply = _qihua_reply(content, owner_uid)
-                ok, ret, _ = _wechat_send_message(baseurl, bot_token, sender, ctx, reply)
+                # 媒体结构化返回：_call_real_llm 生成图片/视频时返回
+                # {"__media__": True, "media_type": "image"/"video", "url": "..."}
+                if isinstance(reply, dict) and reply.get("__media__"):
+                    media_type = reply.get("media_type") or "image"
+                    media_url = reply.get("url") or ""
+                    ok, ret, _ = _wechat_send_media(baseurl, bot_token, sender, ctx, media_type, media_url)
+                    # 对话历史里存可渲染的媒体标签（AI 聊天 WeXin Bot 窗与历史页均可显示）
+                    reply_for_log = (
+                        f'<img src="{media_url}" alt="生成图片"/>'
+                        if media_type == "image"
+                        else f'<video src="{media_url}" controls></video>'
+                    )
+                else:
+                    reply_text = reply if isinstance(reply, str) else str(reply)
+                    ok, ret, _ = _wechat_send_message(baseurl, bot_token, sender, ctx, reply_text)
+                    reply_for_log = reply_text
                 if ok:
                     # 仅发送成功才写对话历史（避免“发了但没收到”的误导记录）
                     if owner_uid:
                         _log_chat(owner_uid, "personal_wechat", sender, ctx, "user", content)
-                        _log_chat(owner_uid, "personal_wechat", sender, ctx, "assistant", reply)
+                        _log_chat(owner_uid, "personal_wechat", sender, ctx, "assistant", reply_for_log)
                         # 同步镜像到 AI 聊天的 WeXin Bot 会话窗
-                        _mirror_to_ai_chat(owner_uid, content, reply)
+                        _mirror_to_ai_chat(owner_uid, content, reply_for_log)
                 else:
                     try:
                         with open("/tmp/wechat_send.log", "a", encoding="utf-8") as _f:
-                            _f.write(datetime.now().isoformat() + " SEND_FAIL ret=%s sender=%s\n"
+                            _f.write(_beijing_now().isoformat() + " SEND_FAIL ret=%s sender=%s\n"
                                      % (ret, repr(sender)))
                     except Exception:
                         pass
@@ -511,8 +560,9 @@ async def wechat_qrcode_status(
                             "user_id": user.id, "username": user.username,
                             "bot_token": bot_token, "ilink_bot_id": ilink_bot_id,
                             "baseurl": baseurl,
-                            "connected_at": datetime.now(),
-                            "created_at": datetime.now(), "updated_at": datetime.now(),
+                            # 统一按北京时间存储，避免容器 UTC 导致显示偏差
+                            "connected_at": _beijing_now(),
+                            "created_at": _beijing_now(), "updated_at": _beijing_now(),
                         })
                 else:
                     _execute_raw(db, text("""UPDATE im_bot_wechat_account SET
@@ -523,8 +573,9 @@ async def wechat_qrcode_status(
                         {
                             "user_id": user.id, "username": user.username,
                             "bot_token": bot_token, "ilink_bot_id": ilink_bot_id,
-                            "baseurl": baseurl, "connected_at": datetime.now(),
-                            "updated_at": datetime.now(), "id": _row_to_dict(row)["id"],
+                            "baseurl": baseurl,
+                        "connected_at": _beijing_now(),
+                        "updated_at": _beijing_now(), "id": _row_to_dict(row)["id"],
                         })
                 row = _wechat_row_for_user(db, user.id)
                 aid = _row_to_dict(row)["id"] if row else 1
@@ -547,7 +598,7 @@ async def wechat_disconnect(user: User = Depends(get_current_user)):
             _execute_raw(db, text(
                 "UPDATE im_bot_wechat_account SET bot_token=NULL, status='disconnected', "
                 "updated_at=:updated_at WHERE id=:id"
-            ), {"updated_at": datetime.now(), "id": _row_to_dict(row)["id"]})
+            ), {"updated_at": _beijing_now(), "id": _row_to_dict(row)["id"]})
         return {"success": True, "message": "已断开个人微信连接"}
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))

backend/python/app/api/im_llm.py

@@ -14,7 +14,9 @@ IM Bot 真实 LLM 调用。
 """
 import asyncio
 import json
+import logging
 import re as _re
+from datetime import datetime, timezone, timedelta
 from typing import Optional
 from urllib.parse import urlparse as _urlparse
 
@@ -22,7 +24,9 @@ import httpx
 from sqlalchemy.orm import Session
 
 from ..capability_registry import resolve_auto_model
-from ..models import AIModel, ModelProvider
+from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
+
+logger = logging.getLogger(__name__)
 
 
 # 香港出网代理(实测对 AGNES 延迟更低，2026-07-15 用户实测)，与 chat.py 同值。
@@ -65,7 +69,37 @@ def _run_async(coro):
     return asyncio.run(coro)
 
 
-def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im", user_id: str = None) -> str:
+def _log_media_usage(db: Session, user_id: str, ai_model, media_type: str, prompt: str):
+    """IM Bot 媒体生成记账：把图片/视频消耗写入 TokenUsageLog，供驾驶舱统计。
+
+    此前 IM Bot 路径完全不写 TokenUsageLog，导致微信生成的图片/视频在驾驶舱里“查无此项”。
+    媒体 API 不返回 token 用量，这里用与 chat.py _generate_media_task 一致的估算。
+    """
+    if not user_id or not ai_model:
+        return
+    try:
+        base = 1200 if media_type == "video" else 400
+        est = base + (len(prompt or "") // 4)
+        db.add(TokenUsageLog(
+            id=gen_uuid(),
+            user_id=user_id,
+            model_id=ai_model.id,
+            model_name=ai_model.name,
+            prompt_tokens=est,
+            completion_tokens=0,
+            total_tokens=est,
+            created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
+        ))
+        db.commit()
+    except Exception as e:
+        try:
+            db.rollback()
+        except Exception:
+            pass
+        logger.warning(f"[im_llm] 媒体 Token 记账失败(忽略): {e}")
+
+
+def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im", user_id: str = None) -> "str | dict":
     """调用七虎AI 生成回复，供 IM Bot 复用。支持媒体意图路由与已安装技能自动发现。"""
     try:
         from app.api.chat import (
@@ -88,19 +122,22 @@ def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im
                     # 绝不直接把原始异常(如 "Server disconnected")甩给用户
                     result = "⚠️ 媒体生成暂时失败（连接或服务波动），请稍后重试。"
                 if result:
-                    # IM 不渲染 HTML，把 <img>/<video> 还原为纯文本链接返回
+                    # 媒体生成成功：返回结构化对象，交由 im_bot_user 在微信内联发送图片/视频
                     s = result.strip()
                     if s.startswith("<img") or s.startswith("<video"):
                         m = _re.search(r'src="([^"]+)"', s)
                         url = m.group(1) if m else ""
-                        label = "图片" if s.startswith("<img") else "视频"
-                        return f"已为你生成{label}：{url}" if url else "（生成完成，但未能提取媒体地址）"
+                        media_type = "image" if s.startswith("<img") else "video"
+                        if not url:
+                            return "（生成完成，但未能提取媒体地址）"
+                        # IM Bot 路径此前完全不记账 → 补写媒体消耗，驾驶舱才看得到图片/视频数据
+                        _log_media_usage(db, user_id, ai_model, media_type, prompt)
+                        return {"__media__": True, "media_type": media_type, "url": url}
                     # 媒体生成失败：_generate_media 已返回友好中文（如限频/队列繁忙），
                     # 直接透传，绝不把原始提示词/标签/JSON 透传给用户
                     if s.startswith("⚠️") or s.startswith("（媒体"):
                         return s
                     return "（媒体生成未能返回有效内容，请重试）"
-                    return result
 
         # ===== 2) 文本回复 + 技能自动发现（Issue 8）=====
         ai_model = resolve_auto_model("text", db)