feat(hub): add data dashboard and AI chat with session history
Add /dashboard with daily PnL overview and loss alerts. Extend AI coach chat with history sidebar, delete/switch sessions, message copy, and trading vs general bot modes. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -65,6 +65,33 @@ def build_summary_user_prompt(context_text: str, trading_day: str) -> str:
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""".strip()
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CHAT_GENERAL_SYSTEM = """
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你是简洁、友好的中文助手,陪用户闲聊、答疑、整理思路。
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规则:
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- 口语化、自然,不要列清单式说教,不要「作为 AI 我必须…」。
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- 用户未主动聊交易时,不要主动扯合约、仓位、盈亏、盯盘。
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- 你没有接入用户的交易账户数据;不要编造持仓、资金或监控状态。若被问到交易事实,说明这边看不到实盘,建议去中控监控区或实例页查看。
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- 若用户上传图片或文档,结合可见内容回应;看不清的直说。
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- 接续【此前对话】,不要重复开场白;回复须写完整,以句号/问号/感叹号收尾。
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""".strip()
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def build_general_chat_user_prompt(
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*,
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history_lines: str,
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user_message: str,
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attachment_note: str = "",
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) -> str:
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parts: list[str] = []
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if history_lines.strip():
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parts.extend(["【此前对话(须接续,勿重复开场)】", history_lines.strip()])
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if attachment_note.strip():
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parts.extend(["【用户附件说明】", attachment_note.strip()])
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parts.extend(["【用户现在说(优先回应这一条)】", user_message.strip()])
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return "\n\n".join(parts)
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def build_chat_user_prompt(
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*,
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context_text: str,
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