dekun
143 lines
4.6 KiB
Python
143 lines
4.6 KiB
Python
"""中控 AI：单会话聊天（直到用户点击新开）。"""
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from __future__ import annotations
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from typing import Any, Optional
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from hub_ai.attachments import parse_chat_attachments
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from hub_ai.client import generate_text, model_label
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from hub_ai.config import (
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CHAT_CONTEXT_MAX_CHARS,
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CHAT_HISTORY_MAX_CHARS_PER_MSG,
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CHAT_MAX_CONTINUATIONS,
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CHAT_MAX_HISTORY_TURNS,
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CHAT_MAX_OUTPUT_TOKENS,
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CHAT_SUMMARY_EXCERPT_MAX_CHARS,
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CHAT_TEMPERATURE,
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)
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from hub_ai.context import build_daily_context, format_chat_context_for_chat
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from hub_ai.prompts import CHAT_SYSTEM, build_chat_user_prompt
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from hub_ai.store import (
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append_chat_message,
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create_new_session,
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ensure_active_session,
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get_active_session,
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load_chat_store,
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summary_excerpt_for_chat,
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)
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def _is_ai_error_reply(text: str) -> bool:
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t = (text or "").strip()
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return t.startswith("AI 调用失败") or t.startswith("AI 生成失败")
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def _history_lines(
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messages: list[dict],
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max_turns: int = CHAT_MAX_HISTORY_TURNS,
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*,
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max_chars_per_msg: int = 1500,
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) -> str:
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rows = [m for m in (messages or []) if m.get("role") in ("user", "assistant")]
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rows = rows[-max_turns * 2 :]
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lines = []
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for m in rows:
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role = "用户" if m.get("role") == "user" else "搭档"
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content = str(m.get("content") or "").strip()
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if m.get("role") == "assistant" and _is_ai_error_reply(content):
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continue
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att = m.get("attachments") or []
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if att:
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names = "、".join(str(a.get("name") or "附件") for a in att[:3])
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content = f"{content} [附件: {names}]".strip()
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if len(content) > max_chars_per_msg:
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content = content[: max_chars_per_msg - 1].rstrip() + "…"
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lines.append(f"{role}：{content}")
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return "\n".join(lines)
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def get_chat_state() -> dict[str, Any]:
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store = load_chat_store()
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session = get_active_session()
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return {
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"active_session_id": store.get("active_session_id"),
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"session": session,
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"model": model_label(),
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}
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def start_new_chat(*, trading_day: str) -> dict:
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session = create_new_session(trading_day=trading_day)
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return {"ok": True, "session": session, "model": model_label()}
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def send_chat_message(
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exchanges: list[dict],
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message: str,
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*,
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trading_day: str | None = None,
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raw_attachments: Optional[list[dict]] = None,
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) -> dict[str, Any]:
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text = (message or "").strip()
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parsed = parse_chat_attachments(raw_attachments or [])
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if parsed.get("errors") and not text and not parsed.get("images_b64"):
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return {"ok": False, "msg": "；".join(parsed["errors"])}
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if not text and not parsed.get("images_b64") and not parsed.get("text_append"):
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return {"ok": False, "msg": "消息不能为空"}
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user_visible = text
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if parsed.get("text_append"):
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user_visible = (user_visible + "\n\n" + parsed["text_append"]).strip()
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if not user_visible and parsed.get("attachment_note"):
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user_visible = f"（上传了 {parsed['attachment_note']}）"
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ctx = build_daily_context(exchanges, trading_day=trading_day)
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day = ctx["trading_day"]
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session = ensure_active_session(trading_day=day)
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sid = session["id"]
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history = _history_lines(
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session.get("messages") or [],
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max_chars_per_msg=CHAT_HISTORY_MAX_CHARS_PER_MSG,
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)
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append_chat_message(
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sid,
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"user",
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user_visible,
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attachments=parsed.get("attachment_meta") or [],
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)
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brief_ctx = format_chat_context_for_chat(ctx, max_chars=CHAT_CONTEXT_MAX_CHARS)
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excerpt = summary_excerpt_for_chat(day, max_chars=CHAT_SUMMARY_EXCERPT_MAX_CHARS)
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user_prompt = build_chat_user_prompt(
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context_text=brief_ctx,
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trading_day=day,
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summary_excerpt=excerpt,
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history_lines=history,
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user_message=text or user_visible,
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attachment_note=str(parsed.get("attachment_note") or ""),
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)
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if parsed.get("text_append"):
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user_prompt += "\n\n【附件正文】\n" + parsed["text_append"]
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reply = generate_text(
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system=CHAT_SYSTEM,
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user=user_prompt,
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temperature=CHAT_TEMPERATURE,
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images_b64=parsed.get("images_b64") or None,
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max_tokens=CHAT_MAX_OUTPUT_TOKENS,
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max_continuations=CHAT_MAX_CONTINUATIONS,
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)
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if _is_ai_error_reply(reply):
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return {"ok": False, "msg": reply, "session_id": sid}
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session = append_chat_message(sid, "assistant", reply)
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return {
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"ok": True,
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"trading_day": day,
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"session": session,
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"reply": reply,
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"model": model_label(),
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"attachment_warnings": parsed.get("errors") or [],
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}
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